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Lin B, Zheng Y, Li H, Ren Y, Yang T, Wang Z, Cai Y, Xu Q, Sun C. Enhancement of Quality Factors in a 6.5 GHz Resonator Using Mo/SiC Composite Microstructures. MICROMACHINES 2025; 16:529. [PMID: 40428656 PMCID: PMC12113843 DOI: 10.3390/mi16050529] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 03/25/2025] [Revised: 04/18/2025] [Accepted: 04/28/2025] [Indexed: 05/29/2025]
Abstract
This study addresses the critical challenge of lateral acoustic wave energy leakage in high-frequency film bulk acoustic resonators (FBARs) and elucidates the reflection mechanism of acoustic waves at acoustic reflection boundaries. Based on the theory of acoustic impedance mismatch, a novel Mo/SiC composite microstructure is designed to strategically establish multiple acoustic reflection boundaries along the lateral acoustic wave leakage paths. Finite element simulations reveal that SiC microstructures effectively suppress vibration amplitudes in non-resonant regions, thereby preventing acoustic wave leakage. By integrating Mo and SiC microstructures, the proposed composite structure significantly enhances the resonator's acoustic confinement and energy retention capabilities. A resonator incorporating this Mo/SiC composite microstructure is fabricated, achieving a series resonance frequency of 6.488 GHz and a remarkable quality factor (Q) of 310. This represents a substantial 51.2% improvement in Q compared to the basic FBAR, confirming the effectiveness of the proposed design in mitigating lateral acoustic wave leakage and enhancing resonator performance for high-frequency, low-loss applications. This work offers valuable insights into the design of next-generation RF resonators for advanced wireless communication systems.
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Affiliation(s)
- Binghui Lin
- Hubei Key Laboratory of Electronic Manufacturing and Packaging Integration, The Institute of Technological Sciences, Wuhan University, Wuhan 430072, China; (B.L.); (Y.Z.); (H.L.); (Y.R.); (T.Y.); (Z.W.); (Y.C.)
| | - Yupeng Zheng
- Hubei Key Laboratory of Electronic Manufacturing and Packaging Integration, The Institute of Technological Sciences, Wuhan University, Wuhan 430072, China; (B.L.); (Y.Z.); (H.L.); (Y.R.); (T.Y.); (Z.W.); (Y.C.)
| | - Haiyang Li
- Hubei Key Laboratory of Electronic Manufacturing and Packaging Integration, The Institute of Technological Sciences, Wuhan University, Wuhan 430072, China; (B.L.); (Y.Z.); (H.L.); (Y.R.); (T.Y.); (Z.W.); (Y.C.)
| | - Yuqi Ren
- Hubei Key Laboratory of Electronic Manufacturing and Packaging Integration, The Institute of Technological Sciences, Wuhan University, Wuhan 430072, China; (B.L.); (Y.Z.); (H.L.); (Y.R.); (T.Y.); (Z.W.); (Y.C.)
| | - Tingting Yang
- Hubei Key Laboratory of Electronic Manufacturing and Packaging Integration, The Institute of Technological Sciences, Wuhan University, Wuhan 430072, China; (B.L.); (Y.Z.); (H.L.); (Y.R.); (T.Y.); (Z.W.); (Y.C.)
| | - Zekai Wang
- Hubei Key Laboratory of Electronic Manufacturing and Packaging Integration, The Institute of Technological Sciences, Wuhan University, Wuhan 430072, China; (B.L.); (Y.Z.); (H.L.); (Y.R.); (T.Y.); (Z.W.); (Y.C.)
| | - Yao Cai
- Hubei Key Laboratory of Electronic Manufacturing and Packaging Integration, The Institute of Technological Sciences, Wuhan University, Wuhan 430072, China; (B.L.); (Y.Z.); (H.L.); (Y.R.); (T.Y.); (Z.W.); (Y.C.)
| | - Qinwen Xu
- Hubei Key Laboratory of Electronic Manufacturing and Packaging Integration, The Institute of Technological Sciences, Wuhan University, Wuhan 430072, China; (B.L.); (Y.Z.); (H.L.); (Y.R.); (T.Y.); (Z.W.); (Y.C.)
| | - Chengliang Sun
- Hubei Key Laboratory of Electronic Manufacturing and Packaging Integration, The Institute of Technological Sciences, Wuhan University, Wuhan 430072, China; (B.L.); (Y.Z.); (H.L.); (Y.R.); (T.Y.); (Z.W.); (Y.C.)
- Wuhan Institute of Quantum Technology, Wuhan University, Wuhan 430072, China
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Chinnaperumal S, Periyasamy M, Alhussan AA, Kannan S, Khafaga DS, Raju SK, Eid MM, El-Kenawy ESM. Secure and intelligent 5G-enabled remote patient monitoring using ANN and Choquet integral fuzzy VIKOR. Sci Rep 2025; 15:9913. [PMID: 40121236 PMCID: PMC11929924 DOI: 10.1038/s41598-025-93829-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/20/2024] [Accepted: 03/10/2025] [Indexed: 03/25/2025] Open
Abstract
Rapid advancements in healthcare technologies necessitate efficient and secure remote patient monitoring systems. This research develops an intelligent system that combines ANN technology and 5G infrastructure with MCDM methods based on Choquet Integral Fuzzy VIKOR to improve medical data acquisition processes. Physical Layer Security (PLS) is a main emphasis point since it protects transmitted healthcare data from eavesdroppers and cyber intruders. The proposed model implements Reinforcement Learning with Hyper-parameter tuning and Lasso regression to obtain a 97.25% accuracy level, which exceeds Physical-Layer Authentication with Superimposed Independent authentication Tags PLA-SIT (97%), Flexible Physical Layer Authentication FPLA (96.8%) and Privacy-Embedded Lightweight and Efficient Automated PLA (95.3%). The proposed model surpasses both CNN-based mechanisms by 94.7%, Shamir's Secret Sharing Algorithm by 90.7%, and the Blowfish Algorithm by 82.3%. The enhanced quality of service alongside reliability produces the model as a dependable solution for MIoT applications that will exist in the next generation.
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Affiliation(s)
- Seelammal Chinnaperumal
- Department of Computer Science and Engineering, Solamalai College of Engineering, Veerapanjan, Madurai, 625 020, India
| | - Muthusamy Periyasamy
- Department of Cyber Security, Paavai Engineering College (Autonomous), Namakkal, 637 018, India
| | - Amel Ali Alhussan
- Department of Computer Sciences, College of Computer and Information Sciences, Princess Nourah bint Abdulrahman University, P.O. Box 84428, Riyadh, 11671, Saudi Arabia
| | - Subhash Kannan
- K. Ramakrishnan College of Engineering (Autonomous), Samayapuram, 621 112, India
| | - Doaa Sami Khafaga
- Department of Computer Sciences, College of Computer and Information Sciences, Princess Nourah bint Abdulrahman University, P.O. Box 84428, Riyadh, 11671, Saudi Arabia.
| | - Sekar Kidambi Raju
- School of Computing, SASTRA Deemed University, Thanjavur, 613401, India.
| | - Marwa M Eid
- Jadara Research Center, Jadara University, Irbid, 21110, Jordan
| | - El-Sayed M El-Kenawy
- Applied Science Research Center, Applied Science Private University, Amman, Jordan
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Zompanti A, Basoli F, Saggio G, Mattioli F, Sabatini A, Grasso S, Marino M, Longo UG, Trombetta M, Santonico M. Design, Calibration and Morphological Characterization of a Flexible Sensor with Adjustable Chemical Sensitivity and Possible Applications to Sports Medicine. SENSORS (BASEL, SWITZERLAND) 2024; 24:6182. [PMID: 39409222 PMCID: PMC11478886 DOI: 10.3390/s24196182] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 08/05/2024] [Revised: 09/17/2024] [Accepted: 09/20/2024] [Indexed: 10/20/2024]
Abstract
Active life monitoring via chemosensitive sensors could hold promise for enhancing athlete monitoring, training optimization, and performance in athletes. The present work investigates a resistive flex sensor (RFS) in the guise of a chemical sensor. Its carbon 'texture' has shown to be sensitive to CO2, O2, and RH changes; moreover, different bending conditions can modulate its sensitivity and selectivity for these gases and vapors. A three-step feasibility study is presented including: design and fabrication of the electronic read-out and control; calibration of the sensors to CO2, O2 and RH; and a morphological study of the material when interacting with the gas and vapor molecules. The 0.1 mm-1 curvature performs best among the tested configurations. It shows a linear response curve for each gas, the ranges of concentrations are adequate, and the sensitivity is good for all gases. The curvature can be modulated during data acquisition to tailor the sensitivity and selectivity for a specific gas. In particular, good results have been obtained with a curvature of 0.1 mm-1. For O2 in the range of 20-70%, the sensor has a sensitivity of 0.7 mV/%. For CO2 in the range of 4-80%, the sensitivity is 3.7 mV/%, and for RH the sensitivity is 33 mV/%. Additionally, a working principle, based on observation via scanning electron microscopy, has been proposed to explain the chemical sensing potential of this sensor. Bending seems to enlarge the cracks present in the RFS coverage; this change accounts for the altered selectivity depending on the sensor's curvature. Further studies are needed to confirm result's reliability and the correctness of the interpretation.
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Affiliation(s)
- Alessandro Zompanti
- Department of Engineering, Università Campus Bio-Medico di Roma, Via Álvaro del Portillo 21, 00128 Rome, Italy; (A.Z.); (A.S.)
| | - Francesco Basoli
- Department of Science and Technology for Sustainable Development and One Health, Università Campus Bio-Medico di Roma, Via Álvaro del Portillo 21, 00128 Rome, Italy; (F.B.); (S.G.); (M.T.); (M.S.)
| | - Giovanni Saggio
- Department of Electronic Engineering, University of Rome Tor Vergata, Via del Politecnico, 00133 Rome, Italy;
| | - Francesco Mattioli
- Institute for Photonics and Nanotechnologies, National Research Council, Via del Fosso del Cavaliere, 100, 00133 Rome, Italy
| | - Anna Sabatini
- Department of Engineering, Università Campus Bio-Medico di Roma, Via Álvaro del Portillo 21, 00128 Rome, Italy; (A.Z.); (A.S.)
| | - Simone Grasso
- Department of Science and Technology for Sustainable Development and One Health, Università Campus Bio-Medico di Roma, Via Álvaro del Portillo 21, 00128 Rome, Italy; (F.B.); (S.G.); (M.T.); (M.S.)
| | - Martina Marino
- Fondazione Policlinico Universitario Campus Bio-Medico, Via Alvaro del Portillo, 200, 00128 Roma, Italy;
- Research Unit of Orthopaedic and Trauma Surgery, Department of Medicine and Surgery, Università Campus Bio-Medico di Roma, Via Alvaro del Portillo, 21, 00128 Roma, Italy
| | - Umile Giuseppe Longo
- Fondazione Policlinico Universitario Campus Bio-Medico, Via Alvaro del Portillo, 200, 00128 Roma, Italy;
- Research Unit of Orthopaedic and Trauma Surgery, Department of Medicine and Surgery, Università Campus Bio-Medico di Roma, Via Alvaro del Portillo, 21, 00128 Roma, Italy
| | - Marcella Trombetta
- Department of Science and Technology for Sustainable Development and One Health, Università Campus Bio-Medico di Roma, Via Álvaro del Portillo 21, 00128 Rome, Italy; (F.B.); (S.G.); (M.T.); (M.S.)
| | - Marco Santonico
- Department of Science and Technology for Sustainable Development and One Health, Università Campus Bio-Medico di Roma, Via Álvaro del Portillo 21, 00128 Rome, Italy; (F.B.); (S.G.); (M.T.); (M.S.)
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Kumar A, Gaur N, Nanthaamornphong A. Improving the latency for 5G/B5G based smart healthcare connectivity in rural area. Sci Rep 2024; 14:6976. [PMID: 38521842 PMCID: PMC10960841 DOI: 10.1038/s41598-024-57641-7] [Citation(s) in RCA: 6] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/14/2023] [Accepted: 03/20/2024] [Indexed: 03/25/2024] Open
Abstract
Smart hospitals are poised to greatly enhance life quality by offering persistent health monitoring capabilities. Remote healthcare and surgery, which are highly dependent on low latency, have seen a transformative improvement with the advent of 5G technology. This has facilitated a new breed of healthcare services, including monitoring and remote surgical procedures. The enhanced features of 5G, such as Enhanced Mobile Broadband (eMBB) and Ultra-Reliable Low Latency Communications (URLLC), have enabled the development of advanced healthcare systems. These systems reduce the need for direct patient contact in hospitals, which is especially pertinent as 5G becomes more widespread. This research presents novel hybrid detection algorithms, specifically QR decomposition with M-algorithm maximum likelihood-minimum mean square error (QRM-MLD-MMSE) and QRM-MLD-ZF (zero forcing), for use in Massive MIMO (M-MIMO) technology. These methods aim to decrease the latency in MIMO-based Non-Orthogonal Multiple Access (NOMA) waveforms while ensuring optimal bit error rate (BER) performance. We conducted simulations to evaluate parameters like BER and power spectral density (PSD) over Rician and Rayleigh channels using both the proposed hybrid and standard algorithms. The study concludes that our hybrid algorithms significantly enhance BER and PSD with lower complexity, marking a substantial improvement in 5G communication for smart healthcare applications.
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Affiliation(s)
- Arun Kumar
- Department of Electronics and Communication Engineering, New Horizon College of Engineering, Bengaluru, India
| | - Nishant Gaur
- Department of Physics, JECRC University, Jaipur, India
| | - Aziz Nanthaamornphong
- College of Computing, Prince of Songkla University, Phuket Campus, Phuket, Thailand.
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Zheng K, Zhang Y, Qiu J, Xie G, Huang Z, Lin W, Liu Z, Liu Q, Wang X. Flame-Retardant GF-PSB/DOPO-POSS Composite with Low Dk/Df and High Thermal Stability for High-Frequency Copper Clad Applications. Polymers (Basel) 2024; 16:544. [PMID: 38399922 PMCID: PMC10892954 DOI: 10.3390/polym16040544] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/06/2024] [Revised: 02/14/2024] [Accepted: 02/15/2024] [Indexed: 02/25/2024] Open
Abstract
In the field of high-frequency communications devices, there is an urgent need to develop high-performance copper clad laminates (CCLs) with low dielectric loss (Df) plus good flame retardancy and thermal stability. The hydrocarbon resin styrene-butadiene block copolymer (PSB) was modified with the flame-retardant 9,10-dihydro-9-oxa-10-phosphaphenanthrene-10-oxide/polyhedral oligomeric silsesquioxanes (DOPO-POSS) to meet the demands of high-frequency and high-speed applications. The resulting DOPO-POSS-modified PSB was used as the resin matrix along with other additives to fabricate PSB/DOPO-POSS laminates. At a high-frequency of 10 GHz, the laminates containing 20 wt.% of DOPO-POSS and with a thickness of 0.09 mm exhibited a Df of 0.00328, which is much lower compared with the commercial PSB/PX-200 composite (Df: 0.00498) and the PSB without flame retardancy (Df: 0.00453). Afterwards, glass fiber cloth (GF) was used as a reinforcing material to manufacture GF-PSB/DOPO-POSS composite laminates with a thickness of 0.25 mm. The flame retardancy of GF-PSB/DOPO-POSS composite laminate reached vertical burning (UL-94) V-1 grade, and GF-PSB/DOPO-POSS exhibited higher thermal and dynamic mechanical properties than GF-PSB/PX-200. The results of a limited oxygen index (LOI) and self-extinguishing time tests also demonstrated the superior flame-retardant performance of DOPO-POSS compared with PX-200. The investigation indicates that GF-PSB/DOPO-POSS composite laminates have significant potential for use in fabricating a printed circuit board (PCB) for high-frequency and high-speed applications.
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Affiliation(s)
- Ke Zheng
- Sub Center of Dongguan University of Technology of National Engineering Research Center of Electronic Circuits Base Materials, School of Materials Science and Engineering, Dongguan University of Technology, Dongguan 523808, China; (K.Z.); (Y.Z.); (Z.L.)
| | - Yizhi Zhang
- Sub Center of Dongguan University of Technology of National Engineering Research Center of Electronic Circuits Base Materials, School of Materials Science and Engineering, Dongguan University of Technology, Dongguan 523808, China; (K.Z.); (Y.Z.); (Z.L.)
| | - Jiaxiang Qiu
- School of Environment and Civil Engineering, Dongguan University of Technology, Dongguan 523808, China;
| | - Guanqun Xie
- School of Environment and Civil Engineering, Dongguan University of Technology, Dongguan 523808, China;
| | - Zengbiao Huang
- National Engineering Research Center of Electronic Circuits Base Materials, SHENGYI Technology Co., Ltd., Dongguan 523808, China; (Z.H.); (W.L.); (Q.L.)
| | - Wei Lin
- National Engineering Research Center of Electronic Circuits Base Materials, SHENGYI Technology Co., Ltd., Dongguan 523808, China; (Z.H.); (W.L.); (Q.L.)
| | - Zhimeng Liu
- Sub Center of Dongguan University of Technology of National Engineering Research Center of Electronic Circuits Base Materials, School of Materials Science and Engineering, Dongguan University of Technology, Dongguan 523808, China; (K.Z.); (Y.Z.); (Z.L.)
| | - Qianfa Liu
- National Engineering Research Center of Electronic Circuits Base Materials, SHENGYI Technology Co., Ltd., Dongguan 523808, China; (Z.H.); (W.L.); (Q.L.)
| | - Xiaoxia Wang
- Sub Center of Dongguan University of Technology of National Engineering Research Center of Electronic Circuits Base Materials, School of Materials Science and Engineering, Dongguan University of Technology, Dongguan 523808, China; (K.Z.); (Y.Z.); (Z.L.)
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6
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Yang X, Huang K, Yang D, Zhao W, Zhou X. Biomedical Big Data Technologies, Applications, and Challenges for Precision Medicine: A Review. GLOBAL CHALLENGES (HOBOKEN, NJ) 2024; 8:2300163. [PMID: 38223896 PMCID: PMC10784210 DOI: 10.1002/gch2.202300163] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 07/02/2023] [Revised: 09/20/2023] [Indexed: 01/16/2024]
Abstract
The explosive growth of biomedical Big Data presents both significant opportunities and challenges in the realm of knowledge discovery and translational applications within precision medicine. Efficient management, analysis, and interpretation of big data can pave the way for groundbreaking advancements in precision medicine. However, the unprecedented strides in the automated collection of large-scale molecular and clinical data have also introduced formidable challenges in terms of data analysis and interpretation, necessitating the development of novel computational approaches. Some potential challenges include the curse of dimensionality, data heterogeneity, missing data, class imbalance, and scalability issues. This overview article focuses on the recent progress and breakthroughs in the application of big data within precision medicine. Key aspects are summarized, including content, data sources, technologies, tools, challenges, and existing gaps. Nine fields-Datawarehouse and data management, electronic medical record, biomedical imaging informatics, Artificial intelligence-aided surgical design and surgery optimization, omics data, health monitoring data, knowledge graph, public health informatics, and security and privacy-are discussed.
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Affiliation(s)
- Xue Yang
- Department of Pancreatic Surgery and West China Biomedical Big Data CenterWest China HospitalSichuan UniversityChengdu610041China
| | - Kexin Huang
- Department of Pancreatic Surgery and West China Biomedical Big Data CenterWest China HospitalSichuan UniversityChengdu610041China
| | - Dewei Yang
- College of Advanced Manufacturing EngineeringChongqing University of Posts and TelecommunicationsChongqingChongqing400000China
| | - Weiling Zhao
- Center for Systems MedicineSchool of Biomedical InformaticsUTHealth at HoustonHoustonTX77030USA
| | - Xiaobo Zhou
- Center for Systems MedicineSchool of Biomedical InformaticsUTHealth at HoustonHoustonTX77030USA
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Agrawal V, Agrawal S, Bomanwar A, Dubey T, Jaiswal A. Exploring the Risks, Benefits, Advances, and Challenges in Internet Integration in Medicine With the Advent of 5G Technology: A Comprehensive Review. Cureus 2023; 15:e48767. [PMID: 38098915 PMCID: PMC10719543 DOI: 10.7759/cureus.48767] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/29/2023] [Accepted: 11/13/2023] [Indexed: 12/17/2023] Open
Abstract
The integration of 5G technology in the healthcare sector is poised to bring about transformative changes, offering numerous advantages such as enhanced telemedicine services, expedited data transfer for medical records, improved remote surgery capabilities, real-time monitoring and diagnostics, advancements in wearable medical devices, and the potential for precision medicine. However, this technological shift is not without its concerns, including potential health implications related to 5G radiation exposure, heightened cybersecurity risks for medical devices and data systems, potential system failures due to technology dependence, and privacy issues linked to data breaches in healthcare. We are striking a balance between harnessing these benefits and addressing the associated risks. Achieving this equilibrium requires the establishment of a robust regulatory framework, ongoing research into the health impacts of 5G radiation, the implementation of stringent cybersecurity measures, education and training for healthcare professionals, and the development of ethical standards. The future of 5G in the medical field holds immense promise, but success depends on our ability to navigate this evolving landscape while prioritizing patient safety, privacy, and ethical practice.
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Affiliation(s)
- Varun Agrawal
- Medicine, Jawaharlal Nehru Medical College, Datta Meghe Institute of Higher Education and Research, Wardha, IND
| | - Suyash Agrawal
- Medicine, Jawaharlal Nehru Medical College, Datta Meghe Institute of Higher Education and Research, Wardha, IND
| | - Aarya Bomanwar
- Medicine, Jawaharlal Nehru Medical College, Datta Meghe Institute of Higher Education and Research, Wardha, IND
| | - Tanishq Dubey
- Medicine, Jawaharlal Nehru Medical College, Datta Meghe Institute of Higher Education and Research, Wardha, IND
| | - Arpita Jaiswal
- Obstetrics and Gynaecology, Jawaharlal Nehru Medical College, Datta Meghe Institute of Higher Education and Research, Wardha, IND
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Rui K, Pan H, Shu S. Secure routing in the Internet of Things (IoT) with intrusion detection capability based on software-defined networking (SDN) and Machine Learning techniques. Sci Rep 2023; 13:18003. [PMID: 37865650 PMCID: PMC10590437 DOI: 10.1038/s41598-023-44764-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/07/2023] [Accepted: 10/12/2023] [Indexed: 10/23/2023] Open
Abstract
Routing and security are the two main prerequisites for ensuring the correct operation of wireless networks. The importance of these cases doubles in wide networks such as IoT. This paper presents an algorithm to improve Secure Routing in IoT called SRAIOT. This algorithm uses a hierarchical structure to determine the connections between network components and data transfer routing. In SRAIOT, the network structure is managed hierarchically and through SDN. For this purpose, the IoT network is first divided into a set of subnets using the SDN solution, communication control and authentication are managed using the controller nodes of each subnet. The communication between two objects (located in different subnets) will be possible if their identity is confirmed through the controller nodes related to them. On the other hand, in order to identify the sources of attacks and network security threats, the controller nodes in each subnet monitor the network traffic pattern using an ensemble learning model and identify possible attacks in their subnet. The performance of SRAIOT was tested in the simulation, and the results were compared with previous methods. The results of these tests show that SRAIOT improves network performance regarding routing and detecting attacks.
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Affiliation(s)
- Kunkun Rui
- School of Information and Artificial Intelligence, Anhui Business College, Wuhu, AnHui, 241002, China.
- College of Industrial Education, Technological University of the Philippines, 0900, Manila, Philippines.
| | - Hongzhi Pan
- School of Information and Artificial Intelligence, Anhui Business College, Wuhu, AnHui, 241002, China
| | - Sheng Shu
- School of Information and Artificial Intelligence, Anhui Business College, Wuhu, AnHui, 241002, China
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9
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Zheng W, Meng F, Liu N, Huang S. A Game Model for Analyzing Wireless Sensor Networks of 5G Environment Based on Adaptive Equilibrium Optimizer Algorithm. SENSORS (BASEL, SWITZERLAND) 2023; 23:8055. [PMID: 37836885 PMCID: PMC10575250 DOI: 10.3390/s23198055] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/25/2023] [Revised: 09/06/2023] [Accepted: 09/22/2023] [Indexed: 10/15/2023]
Abstract
Wireless sensors networks (WSNs) play an important role in life. With the development of 5G, its security issues have also raised concerns. Therefore, it is an important topic to study the offense and defense confrontation in WSNs. A complete information static game model is established to analyze the offense and defense confrontation problem of WSNs in 5G. An adaptive equilibrium optimizer algorithm (AEO) based on parameter adaptive strategy is proposed, which can jump out of the local optimal solution better. Experiments show that the optimization ability of AEO outperforms other algorithms on at least 80% of the 23 classical test functions of CEC. The convergence speed of AEO is better in the early stage of population iteration. The optimal offensive and defensive strategy under different offense and defense resources through simulation experiments is analyzed. The conclusion shows that when the offensive resources are large, the offender takes an indiscriminate attack. When the defense resources are small, the defender should defend the most important elements, and when the defense resources are large, the defender should allocate the same resources to defend each element to obtain the maximum benefit. This paper provides new solution ideas for the security problems under the offense and defense game in WSNs.
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Affiliation(s)
| | | | - Ning Liu
- College of Computer Science and Engineering, Shandong University of Science and Technology, Qingdao 266590, China; (W.Z.); (F.M.); (S.H.)
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10
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Xu L, Wang Z, Wu T, Zhao M, Wu Y, Huang Y, Chen J, Sharma A, Sharma HS. Innovative emergency strategies for patients with severe traumatic brain injury: An IoT-based resource integration. INTERNATIONAL REVIEW OF NEUROBIOLOGY 2023; 171:301-316. [PMID: 37783560 DOI: 10.1016/bs.irn.2023.03.002] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 10/04/2023]
Abstract
Severe traumatic brain injury patients are in critical condition, and rapid rescue is very important for prognosis. Currently, the resuscitation process is complex and it is difficult to get to the operating room quickly to target treatment. We present a new strategy based on the Internet of Things system to integrate complex first aid procedures for efficient and comprehensive rescuing of patients with severe traumatic brain injury. This system includes three modules: human sign monitoring equipment, emergency transport equipment, and a network diagnosis and treatment progress control center. The system not only supports the streamlining of rescue procedures but also transmits the patient's status and optimal treatment strategies in real-time by using an advanced Internet of Things system. After deploying the system in a hospital, we conducted a validation study to evaluate its feasibility and superiority in clinical use. The preliminary results of the study show that this system can significantly shorten the treatment time, which may help the prognosis of severe traumatic brain injury patients.
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Affiliation(s)
- Longbiao Xu
- Department of Neurosurgery, The Third Affiliated Hospital of Zhejiang Chinese Medical University, P.R. China
| | - Zhe Wang
- Linping Hospital of Traditional Chinese Medicine, Hangzhou City, Zhejiang Province, China
| | - Tianya Wu
- Department of Neurosurgery, Zhuji Affiliated Hospital of Shaoxing University, Zhuji People's Hospital of Zhejiang Province, P.R. China
| | - Ming Zhao
- Department of Neurosurgery, Zhuji Affiliated Hospital of Shaoxing University, Zhuji People's Hospital of Zhejiang Province, P.R. China
| | - Ying Wu
- Department of Neurosurgery, Zhuji Affiliated Hospital of Shaoxing University, Zhuji People's Hospital of Zhejiang Province, P.R. China
| | - Yubo Huang
- The Third School of Clinical Medicine, Zhejiang Chinese Medical University, P.R. China
| | - Jie Chen
- Department of Neurosurgery, Zhuji Affiliated Hospital of Shaoxing University, Zhuji People's Hospital of Zhejiang Province, P.R. China
| | - Aruna Sharma
- International Experimental Central Nervous System Injury & Repair (IECNSIR), Dept. of Surgical Sciences, Anesthesiology & Intensive Care Medicine, Uppsala University Hospital, Uppsala University, Uppsala, Sweden.
| | - Hari Shanker Sharma
- International Experimental Central Nervous System Injury & Repair (IECNSIR), Dept. of Surgical Sciences, Anesthesiology & Intensive Care Medicine, Uppsala University Hospital, Uppsala University, Uppsala, Sweden.
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11
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Raza A, Ali M, Ehsan MK, Sodhro AH. Spectrum Evaluation in CR-Based Smart Healthcare Systems Using Optimizable Tree Machine Learning Approach. SENSORS (BASEL, SWITZERLAND) 2023; 23:7456. [PMID: 37687912 PMCID: PMC10490781 DOI: 10.3390/s23177456] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/18/2023] [Revised: 08/16/2023] [Accepted: 08/25/2023] [Indexed: 09/10/2023]
Abstract
The rapid technological advancements in the current modern world bring the attention of researchers to fast and real-time healthcare and monitoring systems. Smart healthcare is one of the best choices for this purpose, in which different on-body and off-body sensors and devices monitor and share patient data with healthcare personnel and hospitals for quick and real-time decisions about patients' health. Cognitive radio (CR) can be very useful for effective and smart healthcare systems to send and receive patient's health data by exploiting the primary user's (PU) spectrum. In this paper, tree-based algorithms (TBAs) of machine learning (ML) are investigated to evaluate spectrum sensing in CR-based smart healthcare systems. The required data sets for TBAs are created based on the probability of detection (Pd) and probability of false alarm (Pf). These data sets are used to train and test the system by using fine tree, coarse tree, ensemble boosted tree, medium tree, ensemble bagged tree, ensemble RUSBoosted tree, and optimizable tree. Training and testing accuracies of all TBAs are calculated for both simulated and theoretical data sets. The comparison of training and testing accuracies of all classifiers is presented for the different numbers of received signal samples. Results depict that optimizable tree gives the best accuracy results to evaluate the spectrum sensing with minimum classification error (MCE).
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Affiliation(s)
- Ahmad Raza
- Department of Computer Engineering, Khwaja Fareed University of Engineering & Information Technology, Rahim Yar Khan 64200, Pakistan; (A.R.); (M.A.)
| | - Mohsin Ali
- Department of Computer Engineering, Khwaja Fareed University of Engineering & Information Technology, Rahim Yar Khan 64200, Pakistan; (A.R.); (M.A.)
| | | | - Ali Hassan Sodhro
- Department of Computer Science, Kristianstad University, SE-29188 Kristianstad, Sweden
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12
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Al-Quayed F, Humayun M, Tahir S. Towards a Secure Technology-Driven Architecture for Smart Health Insurance Systems: An Empirical Study. Healthcare (Basel) 2023; 11:2257. [PMID: 37628455 PMCID: PMC10454849 DOI: 10.3390/healthcare11162257] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/18/2023] [Revised: 08/06/2023] [Accepted: 08/08/2023] [Indexed: 08/27/2023] Open
Abstract
Health insurance has become a crucial component of people's lives as the occurrence of health problems rises. Unaffordable healthcare problems for individuals with little income might be a problem. In the case of a medical emergency, health insurance assists individuals in affording the costs of healthcare services and protects them financially against the possibility of debt. Security, privacy, and fraud risks may impact the numerous benefits of health insurance. In recent years, health insurance fraud has been a contentious topic due to the substantial losses it causes for individuals, commercial enterprises, and governments. Therefore, there is a need to develop mechanisms for identifying health insurance fraud incidents. Furthermore, a large quantity of highly sensitive electronic health insurance data are generated on a daily basis, which attracts fraudulent users. Motivated by these facts, we propose a smart healthcare insurance framework for fraud detection and prevention (SHINFDP) that leverages the capabilities of cutting-edge technologies including blockchain, 5G, cloud, and machine learning (ML) to enhance the health insurance process. The proposed framework is evaluated using mathematical modeling and an industrial focus group. In addition, a case study was demonstrated to illustrate the SHINFDP's applicability in enhancing the security and effectiveness of health insurance. The findings indicate that the SHINFDP aids in the detection of healthcare fraud at early stages. Furthermore, the results of the focus group show that SHINFDP is adaptable and simple to comprehend. The case study further strengthens the findings and also describes the implications of the proposed solution in a real setting.
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Affiliation(s)
- Fatima Al-Quayed
- Department of Computer Science, College of Computer and Information Sciences, Jouf University, Sakakah 72341, Saudi Arabia
| | - Mamoona Humayun
- Department of Information Systems, College of Computer and Information Sciences, Jouf University, Sakakah 72311, Saudi Arabia
| | - Sidra Tahir
- University Institute of Information Technology, PMAS Arid Agriculture University, Rawalpindi 43600, Pakistan;
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13
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Chen Q, Wang Y, Shuai J. Current status and future prospects of stomatology research. J Zhejiang Univ Sci B 2023; 24:853-867. [PMID: 37752088 PMCID: PMC10522564 DOI: 10.1631/jzus.b2200702] [Citation(s) in RCA: 10] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/29/2022] [Accepted: 03/27/2023] [Indexed: 08/08/2023]
Abstract
Research in stomatology (dental medicine) continues to expand globally and is oriented towards solving clinical issues, focusing on clarifying the clinical relevance and potential mechanisms of oral-systemic connections via clinical epidemiology, oral microecological characterization, and the establishment of animal models. Interdisciplinary integration of materials science and tissue engineering with stomatology is expected to lead to the creation of innovative materials and technologies to better resolve the most prevalent and challenging clinical issues such as peri-implantitis, soft and hard tissue defects, and dentin hypersensitivity. With the rapid development of artificial intelligence (AI), 5th generation mobile communication technology (5G), and big data applications, "intelligent stomatology" is emerging to build models for better clinical diagnosis and management, accelerate the reform of education, and support the growth and advancement of scientific research. Here, we summarized the current research status, and listed the future prospects and limitations of these three aspects, aiming to provide a basis for more accurate etiological exploration, novel treatment methods, and abundant big data analysis in stomatology to promote the translation of research achievements into practical applications for both clinicians and the public.
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Affiliation(s)
- Qianming Chen
- Stomatology Hospital, School of Stomatology, Zhejiang University School of Medicine, Clinical Research Center for Oral Diseases of Zhejiang Province, Key Laboratory of Oral Biomedical Research of Zhejiang Province, Cancer Center of Zhejiang University, Hangzhou 310006, China.
| | - Yahui Wang
- Stomatology Hospital, School of Stomatology, Zhejiang University School of Medicine, Clinical Research Center for Oral Diseases of Zhejiang Province, Key Laboratory of Oral Biomedical Research of Zhejiang Province, Cancer Center of Zhejiang University, Hangzhou 310006, China
| | - Jing Shuai
- Stomatology Hospital, School of Stomatology, Zhejiang University School of Medicine, Clinical Research Center for Oral Diseases of Zhejiang Province, Key Laboratory of Oral Biomedical Research of Zhejiang Province, Cancer Center of Zhejiang University, Hangzhou 310006, China
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14
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Adil M, Alshahrani H, Rajab A, Shaikh A, Song H, Farouk A. QoS Review: Smart Sensing in Wake of COVID-19, Current Trends and Specifications With Future Research Directions. IEEE SENSORS JOURNAL 2023; 23:865-876. [PMID: 36913223 PMCID: PMC9983689 DOI: 10.1109/jsen.2022.3170055] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/04/2022] [Accepted: 04/21/2022] [Indexed: 05/12/2023]
Abstract
Smart Sensing has shown notable contributions in the healthcare industry and revamps immense advancement. With this, the present smart sensing applications such as the Internet of Medical Things (IoMT) applications are elongated in the COVID-19 outbreak to facilitate the victims and alleviate the extensive contamination frequency of this pathogenic virus. Although, the existing IoMT applications are utilized productively in this pandemic, but somehow, the Quality of Service (QoS) metrics are overlooked, which is the basic need of these applications followed by patients, physicians, nursing staff, etc. In this review article, we will give a comprehensive assessment of the QoS of IoMT applications used in this pandemic from 2019 to 2021 to identify their requirements and current challenges by taking into account various network components and communication metrics. To claim the contribution of this work, we explored layer-wise QoS challenges in the existing literature to identify particular requirements, and set the footprint for future research. Finally, we compared each section with the existing review articles to acknowledge the uniqueness of this work followed by the answer of a question why this survey paper is needed in the presence of current state-of-the-art review papers.
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Affiliation(s)
- Muhammad Adil
- Global Foundation for Cyber Studies and Research Washington DC 20015 USA
| | - Hani Alshahrani
- College of Computer Science and Information SystemsNajran University Najran 61441 Saudi Arabia
| | - Adel Rajab
- College of Computer Science and Information SystemsNajran University Najran 61441 Saudi Arabia
| | - Asadullah Shaikh
- College of Computer Science and Information SystemsNajran University Najran 61441 Saudi Arabia
| | - Houbing Song
- Department of Electrical Engineering and Computer ScienceEmbry-Riddle Aeronautical University Daytona Beach FL 32114 USA
| | - Ahmed Farouk
- Department of Computer ScienceFaculty of Computers and Artificial IntelligenceSouth Valley University Hurghada 84511 Egypt
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15
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Wu HC, Chen TCT, Chiu MC. Assessing the sustainability of smart healthcare applications using a multi-perspective fuzzy comprehensive evaluation approach. Digit Health 2023; 9:20552076231203903. [PMID: 37771716 PMCID: PMC10524080 DOI: 10.1177/20552076231203903] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 09/08/2023] [Indexed: 09/30/2023] Open
Abstract
A smart healthcare application can be judged as sustainable if it was already widely used before and will also be prevalent in the future. In contrast, if a smart healthcare application developed during the COVID-19 pandemic is not used after it, then it is not sustainable. Assessing the sustainability of smart healthcare applications is a critical task for their users and suppliers. However, it is also a challenging task due to the availability of data, users' subjective beliefs, and different perspectives. In response to this problem, this study proposes a multi-perspective fuzzy comprehensive evaluation approach to evaluate the sustainability of a smart healthcare application from qualitative, multi-criteria decision-making and time-series perspectives. The proposed methodology has been used to evaluate the sustainability of eight smart healthcare applications. The experimental results showed that the sustainability of a smart healthcare application evaluated from different perspectives may be different. Nevertheless, another technique can be used to confirm the evaluation result generated using one technique. In other words, these views compensate for each other.
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Affiliation(s)
- Hsin-Chieh Wu
- Department of Industrial Engineering and Management, Chaoyang University of Technology, Taichung City, Taiwan
| | - Tin-Chih Toly Chen
- Department of Industrial Engineering and Management, National Yang Ming Chiao Tung University, Hsinchu, Taiwan
| | - Min-Chi Chiu
- Department of Industrial Engineering and Management, National Chin-Yi University of Technology, Taichung City, Taiwan
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16
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Kamecka K, Foti C, Gawiński Ł, Matejun M, Rybarczyk-Szwajkowska A, Kiljański M, Krochmalski M, Kozłowski R, Marczak M. Telemedicine Technologies Selection for the Posthospital Patient Care Process after Total Hip Arthroplasty. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2022; 19:11521. [PMID: 36141791 PMCID: PMC9517262 DOI: 10.3390/ijerph191811521] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 08/08/2022] [Revised: 09/05/2022] [Accepted: 09/07/2022] [Indexed: 06/16/2023]
Abstract
For many years, the importance of using telematic technologies in medicine has been growing, especially in the period of the coronavirus pandemic, when direct contact and supervision of medical personnel over the patient is difficult. The existing possibilities of modern information and communication technologies (ICTs) are not fully used. The aim of the study is to identify the telemedicine technologies that can be used in future implementation projects of the posthospital patient care process after total hip arthroplasty (THA). The literature search is reported according to PRISMA 2020. The search strategy included databases and gray literature. In total, 28 articles (EMBASE, PubMed, PEDro) and 24 records from gray literature (Google Search and Technology presentations) were included in the research. This multi-source study analyzes the possibilities of using different technologies useful in the patient care process. The conducted research resulted in defining visual and wearable types of telemedicine technologies for the original posthospital patient care process after THA. As the needs of stakeholders in the posthospital patient care process after THA differ, the awareness of appropriate technologies selection, information flow, and its management importance are prerequisites for effective posthospital patient care with the use of telemedicine technologies.
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Affiliation(s)
- Karolina Kamecka
- Department of Management and Logistics in Healthcare, Medical University of Lodz, 90-131 Lodz, Poland
| | - Calogero Foti
- Physical and Rehabilitation Medicine, Clinical Sciences and Translational Medicine Department, Tor Vergata University, 00133 Rome, Italy
| | - Łukasz Gawiński
- Department of Management and Logistics in Healthcare, Medical University of Lodz, 90-131 Lodz, Poland
| | - Marek Matejun
- Department of Entrepreneurship and Industrial Policy, Faculty of Management, University of Lodz, 90-237 Lodz, Poland
| | | | - Marek Kiljański
- Polish Association of Physiotherapy Specialists, 95-200 Pabianice, Poland
- Medical Magnus Clinic, 90-552 Lodz, Poland
| | - Marek Krochmalski
- Medical Magnus Clinic, 90-552 Lodz, Poland
- Polish Muscles, Ligaments and Tendons Society, 90-552 Lodz, Poland
| | - Remigiusz Kozłowski
- Center of Security Technologies in Logistics, Faculty of Management, University of Lodz, 90-237 Lodz, Poland
| | - Michał Marczak
- Department of Management and Logistics in Healthcare, Medical University of Lodz, 90-131 Lodz, Poland
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17
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Adarsh A, Pathak S, Chauhan DS, Kumar B. Low-latency and High-Reliability FBMC Modulation scheme using Optimized Filter design for enabling NextG Real-time Smart Healthcare Applications. THE JOURNAL OF SUPERCOMPUTING 2022; 79:3643-3665. [PMID: 36093387 PMCID: PMC9449934 DOI: 10.1007/s11227-022-04799-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Accepted: 08/26/2022] [Indexed: 06/15/2023]
Abstract
This paper presents a prototype filter design using the orthant optimization technique to assist a filter bank multicarrier (FBMC) modulation scheme of a NextG smart e-healthcare network framework. Low latency and very high reliability are one of the main requirements of a real-time e-healthcare system. In recent times, FBMC modulation has gotten more attention due to its spectral efficiency. The characteristics of a filter bank are determined by t's, prototype filter. A prototype filter cannot be designed to achieve an arbitrary time localization (for low latency) and frequency localization (spectral efficiency), as time and frequency spreading are conflicting goals. Hence, an optimum design needed to be achieved. In this paper, a constraint for perfect or nearly perfect reconstruction is formulated for prototype filter design and an orthant-based enriched sparse ℓ1-optimization method is applied to achieve the optimum performance in terms of higher availability of subcarrier spacing for the given requirement of signal-to-interference ratio. Larger subcarrier spacing ensures lower latency and better performance in real-time applications. The proposed FBMC system, based on an optimum design of the prototype filter, also supports a higher data rate as compared to traditional FBMC and OFDM systems, which is another requirement of real-time communication. In this paper, the solution for the different technical issues of physical layer design is provided. The presented modulation scheme through the proposed prototype filter-based FBMC can suppress the side lobe energy of the constituted filters up to large extent without compromising the recovery of the signal at the receiver end. The proposed system provides very high spectral efficiency; it can sacrifice large guard band frequencies to increase the subcarrier spacing to provide low-latency communication to support the real-time e-healthcare network.
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Affiliation(s)
- Abhinav Adarsh
- Department of ECE, Madanapalle Institute of Technology and Science, Madanapalle, 517325 India
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18
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Gambo N, Musonda I. Impact of IoT on Achieving Smart Primary Healthcare Building Facilities in Gauteng, South Africa. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2022; 19:11147. [PMID: 36141421 PMCID: PMC9516893 DOI: 10.3390/ijerph191811147] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 07/07/2022] [Revised: 08/19/2022] [Accepted: 08/26/2022] [Indexed: 06/16/2023]
Abstract
Processes and services undertaken in smart primary healthcare building facilities capture operational data through advanced monitoring and enable experts to use these building facilities for efficient healthcare service delivery. This study assessed the impact of Internet of Things (IoT) services on achieving efficient primary healthcare in the rural areas of South Africa. The study identified three (3) basic constructs of IoT services. They include IoT location recognition and tracking services, the application of the IoT high-speed communication network-based services, and the application of IoT-based services. The study is quantitative, and a questionnaire was used to collect data from the project managers and healthcare practitioners working with the primary healthcare agency in South Africa. The study found a variable degree of impact between the three (3) IoT constructs and the successful development of primary healthcare building facility services in South Africa. The study recommends adopting IoT essential services for achieving efficient primary healthcare services in the rural areas of South Africa and other developing countries facing similar primary healthcare delivery challenges.
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Affiliation(s)
- Nuru Gambo
- Centre for Applied Research and Innovation in the Built Environment, University of Johannesburg, Johannesburg 2006, South Africa
- Department of Quantity Surveying, Faculty of Environmental Technology, Abubakar Tafawa Balewa University Bauchi, Bauchi 740272, Nigeria
| | - Innocent Musonda
- Centre for Applied Research and Innovation in the Built Environment, University of Johannesburg, Johannesburg 2006, South Africa
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19
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Saad H, Farhan M, Abd-Alhameed R. Design a CPW-Fed Circular Polarization Printed Antenna for 5G Sub-Band Applications. 2022 8TH INTERNATIONAL CONFERENCE ON CONTEMPORARY INFORMATION TECHNOLOGY AND MATHEMATICS (ICCITM) 2022. [DOI: 10.1109/iccitm56309.2022.10031832] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 09/01/2023]
Affiliation(s)
- Haider Saad
- Middle Technique University,Computer Techniques Engineering,Baghdad,Iraq
| | - Mahmood Farhan
- Middle Technique University,Computer Techniques Engineering,Baghdad,Iraq
| | - Raed Abd-Alhameed
- University of Bradford,Faculty of Engineering and Informatics,Bradford,U.K
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20
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Asiain D, Ponce de León J, Beltrán JR. MsWH: A Multi-Sensory Hardware Platform for Capturing and Analyzing Physiological Emotional Signals. SENSORS (BASEL, SWITZERLAND) 2022; 22:5775. [PMID: 35957330 PMCID: PMC9371105 DOI: 10.3390/s22155775] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 06/15/2022] [Revised: 07/22/2022] [Accepted: 07/30/2022] [Indexed: 06/15/2023]
Abstract
This paper presents a new physiological signal acquisition multi-sensory platform for emotion detection: Multi-sensor Wearable Headband (MsWH). The system is capable of recording and analyzing five different physiological signals: skin temperature, blood oxygen saturation, heart rate (and its variation), movement/position of the user (more specifically of his/her head) and electrodermal activity/bioimpedance. The measurement system is complemented by a porthole camera positioned in such a way that the viewing area remains constant. Thus, the user's face will remain centered regardless of its position and movement, increasing the accuracy of facial expression recognition algorithms. This work specifies the technical characteristics of the developed device, paying special attention to both the hardware used (sensors, conditioning, microprocessors, connections) and the software, which is optimized for accurate and massive data acquisition. Although the information can be partially processed inside the device itself, the system is capable of sending information via Wi-Fi, with a very high data transfer rate, in case external processing is required. The most important features of the developed platform have been compared with those of a proven wearable device, namely the Empatica E4 wristband, in those measurements in which this is possible.
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Affiliation(s)
- David Asiain
- Department of Electronics, Escuela Universitaria Politécnica de La Almunia, La Almunia de Doña Godina, 50100 Zaragoza, Spain;
| | - Jesús Ponce de León
- Department of Electronics, Escuela Universitaria Politécnica de La Almunia, La Almunia de Doña Godina, 50100 Zaragoza, Spain;
| | - José Ramón Beltrán
- Department of Electronics Engineering and Communications, Escuela de Ingeniería y Arquitectura, I3A, Universidad de Zaragoza, 50018 Zaragoza, Spain;
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21
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Antenna Systems in Medical Masks: Applications for 5G FR1 and Wi-Fi 7 Wireless Systems. ELECTRONICS 2022. [DOI: 10.3390/electronics11131983] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 01/27/2023]
Abstract
This paper proposes a small antenna system (47 mm × 8 mm × 0.2 mm) to be used in a medical mask. The medical mask is composed of a frame and shield. The frame is made of polycarbonate (PC), and the shield is made of polyethylene terephthalate (PET). The author sets two groups of antennas on the upper side of the frame and sets two other groups of antennas on the sides facing away from the face of the shield. The substrates of the four antennas are all FR4 (εr = 4.4, tanδ = 0.02), so the first antenna type is a combination of PC and FR4, and the second antenna type is a combination of PET and FR4. The antenna system has three working frequency bands, in which the reflection coefficient is lower than −10 dB after actual measurement, and its working frequency bandwidth is 2.38–2.62 GHz, 3.38–3.74 GHz, and 5.14–8 GHz, respectively. It can be effectively used in 5G FR1 and Wi-Fi 7 frequency bands and can easily be combined with medical masks of different materials. This antenna system can use Wi-Fi 7 for wireless transmission indoors and use the 5G FR1 frequency band for wireless transmission outdoors, achieving seamless transmission capabilities.
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22
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Smart Memory Storage Solution and Elderly Oriented Smart Equipment Design under Deep Learning. COMPUTATIONAL INTELLIGENCE AND NEUROSCIENCE 2022; 2022:6448302. [PMID: 35586089 PMCID: PMC9110148 DOI: 10.1155/2022/6448302] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 03/25/2022] [Accepted: 04/26/2022] [Indexed: 11/18/2022]
Abstract
This study explores the memory characteristics of elderly individuals to design effective smart devices based on smart memory storage solutions under deep learning to improve the learning efficiency of elderly individuals. The different memory formation stages in the existing human brain are analysed. A smart memory storage solution based on memory-enhanced embedded learning is constructed based on meta-learning under deep learning, which reduces the cost of learning new tasks to the greatest extent. Finally, the performance of the proposed solution is verified using different datasets. The results reveal that the solution based on deep learning has obvious effects on different datasets, with an average accuracy rate of 99.7%. By synthesizing a large number of target sample features, this solution can lower the learning difficulty and improve the learning effect. The proposed elderly oriented smart device effectively reduces the shortcomings in the current market and lowers the learning difficulty, which provides an important reference for further enriching devices in the ageing market.
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23
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Effect of Intelligent Medical Management Platform Combined with Perioperative Detailed Nursing on Cognitive Ability, Postoperative Complications, and Quality of Life of Patients Undergoing Hysterectomy. COMPUTATIONAL AND MATHEMATICAL METHODS IN MEDICINE 2022; 2022:4820835. [PMID: 35469218 PMCID: PMC9034905 DOI: 10.1155/2022/4820835] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 03/11/2022] [Revised: 03/22/2022] [Accepted: 04/02/2022] [Indexed: 01/10/2023]
Abstract
Objective. To analyze the effect of an intelligent medical management platform combined with perioperative detailed nursing on cognitive ability, postoperative complications, and quality of life (QOL) of patients undergoing hysterectomy. Methods. The clinical data of 76 patients undergoing hysterectomy in our hospital from December 2019 to December 2021 were selected for the retrospective analysis, and the patients were divided into the experimental group (EG,
, intelligent medical management platform+perioperative detailed nursing) and the routine group (RG,
, routine nursing) according to their admission order, and the cognition of disease and QOL after intervention of patients in the two groups were evaluated by the self-proposed questionnaire on cognition of disease of our hospital and the MOS 36-item short-form health survey (SF-36). Results. After intervention, the scores on cognitive ability, various nursing items, and QOL were significantly higher in EG than in RG (
), and during the study, the total incidence rate of complications was significantly lower in EG than in RG (
). Conclusion. Combining an intelligent medical management platform with perioperative detailed nursing is a reliable method to improve QOL and reduce postoperative complications for patients undergoing hysterectomy. Further research will be conducive to providing a reliable perioperative intervention scheme for such patients.
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24
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Construction of Community Medical Communication Service and Rehabilitation Model for Elderly Patients under the Internet of Things. JOURNAL OF HEALTHCARE ENGINEERING 2022; 2022:9689769. [PMID: 35392145 PMCID: PMC8983247 DOI: 10.1155/2022/9689769] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 10/16/2021] [Revised: 12/16/2021] [Accepted: 01/08/2022] [Indexed: 11/17/2022]
Abstract
The objective of this study was to discuss the health management of elderly patients in the community and the management of community rehabilitation under the support of the new Internet of Things (IoT). The IoT technology was adopted to monitor the wearable devices through mobile medical physiological data. The heart rate, blood pressure, respiratory rate, and other physiological indicators of the elderly were collected in real time. The support vector machine (SVM) algorithm was selected as the core algorithm for the elderly physiological index disease risk assessment, the fuzzy comprehensive evaluation method was adopted as the core method of the elderly disease risk quantitative assessment model to process the physiological indicators, and finally, a reasonable physiological index processing model and quantitative indicators of disease risk were obtained. The data on vascular disease were selected from the MIMIC database. In addition, the advantages and disadvantages of the SVM algorithm and the Backpropagation Neural Network (BPNN) algorithm were compared and analysed. The final verification results showed that the fusion accuracy of the SVM processing MIMIC database and the University of California Irvine (UCI) dataset was 0.8327 and 0.8045, respectively, while the fusion accuracy of the BPNN algorithm in processing the same data was 0.7792 and 0.7288, respectively. It was obvious that the fusion accuracy of the SVM algorithm was higher than that of the BPNN algorithm, and the accuracy difference of the SVM algorithm was lower than that of the BPNN algorithm in different groups of data. In the verification of the elderly disease risk quantitative assessment model, the results were consistent with the selected data, which verified the effectiveness of the design model in this study. Therefore, it can be used as a quantitative assessment model of general elderly physiological indicators of disease risk and can be applied to the community medical communication management system. It proved that the model of medical communication and rehabilitation services for elderly patients in the community constructed in this study can definitely help the development of community service for the elderly.
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25
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Khurshid A, Dong J, Ahmad MS, Shi R. Optimized Super-Wideband MIMO Antenna with High Isolation for IoT Applications. MICROMACHINES 2022; 13:mi13040514. [PMID: 35457817 PMCID: PMC9024922 DOI: 10.3390/mi13040514] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 11/30/2021] [Revised: 03/21/2022] [Accepted: 03/21/2022] [Indexed: 11/16/2022]
Abstract
A compact, low profile, multiple-input–multiple-output (MIMO) diversity antenna with super-wideband (SWB) characteristics has been proposed. The proposed antenna comprises four symmetric monopole-radiating elements printed on low-cost FR4 substrate with the slotted ground plane. The single antenna of a monopole structure and a quad-port MIMO antenna, with the dimensions of 30 × 20 mm2 and 60 × 55 mm2, respectively, are ideal for IoT and high-speed data applications. The proposed MIMO antenna has a high diversity gain and low envelope correlation coefficient (ECC) within the frequency range. Simulated results demonstrate the performance of the MIMO-SWB antenna, which operates from 2.3 to 23 GHz, with a high isolation level over 20 dB in the achieved frequency band. Moreover, the proposed MIMO antenna has been investigated with mirror fashion and orthogonal structure. Both structures provide similar results except for mutual coupling performance. The orthogonal adjustment for high isolation achieves better results with the proposed model. Further, the prototype of the proposed antenna is fabricated and measured effectively. Simulated and measured results show good agreement for super-wideband applications.
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Berlet M, Vogel T, Gharba M, Eichinger J, Schulz E, Friess H, Wilhelm D, Ostler D, Kranzfelder M. 5G enabled emergency telemedicine application mobile ultrasound: Development and Usability Study (Preprint). JMIR Form Res 2022; 6:e36824. [PMID: 35617009 PMCID: PMC9185330 DOI: 10.2196/36824] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/26/2022] [Revised: 04/21/2022] [Accepted: 04/24/2022] [Indexed: 11/13/2022] Open
Abstract
Background Digitalization affects almost every aspect of modern daily life, including a growing number of health care services along with telemedicine applications. Fifth-generation (5G) mobile communication technology has the potential to meet the requirements for this digitalized future with high bandwidths (10 GB/s), low latency (<1 ms), and high quality of service, enabling wireless real-time data transmission in telemedical emergency health care applications. Objective The aim of this study is the development and clinical evaluation of a 5G usability test framework enabling preclinical diagnostics with mobile ultrasound using 5G network technology. Methods A bidirectional audio-video data transmission between the ambulance car and hospital was established, combining both 5G-radio and -core network parts. Besides technical performance evaluations, a medical assessment of transferred ultrasound image quality and transmission latency was examined. Results Telemedical and clinical application properties of the ultrasound probe were rated 1 (very good) to 2 (good; on a 6 -point Likert scale rated by 20 survey participants). The 5G field test revealed an average end-to-end round trip latency of 10 milliseconds. The measured average throughput for the ultrasound image traffic was 4 Mbps and for the video stream 12 Mbps. Traffic saturation revealed a lower video quality and a slower video stream. Without core slicing, the throughput for the video application was reduced to 8 Mbps. The deployment of core network slicing facilitated quality and latency recovery. Conclusions Bidirectional data transmission between ambulance car and remote hospital site was successfully established through the 5G network, facilitating sending/receiving data and measurements from both applications (ultrasound unit and video streaming). Core slicing was implemented for a better user experience. Clinical evaluation of the telemedical transmission and applicability of the ultrasound probe was consistently positive.
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Affiliation(s)
- Maximilian Berlet
- Department of Surgery, Klinikum Rechts der Isar, Technical University Munich, Munich, Germany
| | - Thomas Vogel
- Department of Surgery, Klinikum Rechts der Isar, Technical University Munich, Munich, Germany
| | - Mohamed Gharba
- German Research Center, Munich Office, Huawei Technologies Düsseldorf GmbH, Munich, Germany
| | - Joseph Eichinger
- German Research Center, Munich Office, Huawei Technologies Düsseldorf GmbH, Munich, Germany
| | - Egon Schulz
- German Research Center, Munich Office, Huawei Technologies Düsseldorf GmbH, Munich, Germany
| | - Helmut Friess
- Department of Surgery, Klinikum Rechts der Isar, Technical University Munich, Munich, Germany
| | - Dirk Wilhelm
- Department of Surgery, Klinikum Rechts der Isar, Technical University Munich, Munich, Germany
| | - Daniel Ostler
- Researchgroup Minimally-Invasive Therapy and Intervention, Klinikum Rechts der Isar, Technical University Munich, Munich, Germany
| | - Michael Kranzfelder
- Department of Surgery, Klinikum Rechts der Isar, Technical University Munich, Munich, Germany
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The Social Acceptance of Smart Health Services in Japan. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2022; 19:ijerph19031298. [PMID: 35162321 PMCID: PMC8834830 DOI: 10.3390/ijerph19031298] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 12/21/2021] [Revised: 01/19/2022] [Accepted: 01/22/2022] [Indexed: 02/04/2023]
Abstract
In recent years, smart health (s-Health) services have gained momentum worldwide. The s-Health services obtain personal information and aim to provide efficient health and medical services based on these data. In Japan, active efforts to implement these services have increased, but there is a lack of social acceptance. This study examined social acceptance concerning various factors such as trust in the city government, perceived benefits, perceived necessity, perceived risk, and concern about interventions for individuals. An online survey was conducted, and Japanese participants (N = 720) were presented with a vignette depicting a typical s-Health service overview. The results of structural equation modeling showed that trust was positively related to perceived benefit and necessity and negatively related to perceived risk and concern about interventions for individuals. Perceived benefit and trust were positively related to social acceptance, and perceived risk was negatively related to acceptance. The model obtained in this study can help implement s-Health services in public. Empirical studies that contribute to improving public health by investigating the social acceptance of s-Health services should be conducted in the future.
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The Role of New Technological Opportunities and the Need to Evaluate the Activities Performed in the Prevention of Diabetic Foot with Exercise Therapy. MEDICINES 2021; 8:medicines8120076. [PMID: 34940288 PMCID: PMC8706849 DOI: 10.3390/medicines8120076] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Subscribe] [Scholar Register] [Received: 08/24/2021] [Revised: 11/22/2021] [Accepted: 11/28/2021] [Indexed: 01/22/2023]
Abstract
The diabetic foot (DF) is one of the most feared conditions among chronic complications of diabetes, which affects a growing number of patients. Although exercise therapy (ET) has always been considered a pillar in the treatment of patients at risk of DF it is not usually used. Several causes can contribute to hindering both the organization of ET protocols for Diabetes Units and the participation in ET programs for patients at different levels of risk of foot ulceration. The risk of favoring the occurrence of ulcers and the absence of clear evidence on the role played by ET in the prevention of ulcers could be considered among the most important causes leading to the low application of ET. The increased availability of new technologies and in particular of systems and devices equipped with sensors can enable the remote monitoring and management of physical activity performed by patients. Consequently, they can become an opportunity for introducing the systematic use of ET for the treatment of patients at risk. Considering the complexity of the clinical conditions that patients at risk or with diabetic foot ulcer can show, the evaluation of how patients perform the ET proposed can consequently be very important. All this can contribute to improving the treatment of patients and avoiding possible adverse effects. The aim of this brief review was to describe that the use of new technologies and the assessment of the execution of the ET proposed allows an important step forward in the management of patients at risk.
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Hospodková P, Berežná J, Barták M, Rogalewicz V, Severová L, Svoboda R. Change Management and Digital Innovations in Hospitals of Five European Countries. Healthcare (Basel) 2021; 9:1508. [PMID: 34828554 PMCID: PMC8625074 DOI: 10.3390/healthcare9111508] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/05/2021] [Revised: 10/26/2021] [Accepted: 11/03/2021] [Indexed: 12/13/2022] Open
Abstract
The objective of the paper is to evaluate the quality of systemic change management (CHM) and readiness for change in five Central European countries. The secondary goal is to identify trends and upcoming changes in the field of digital innovations in healthcare. The results show that all compared countries (regardless of their historical context) deal with similar CHM challenges with a rather similar degree of success. A questionnaire distributed to hospitals clearly showed that there is still considerable room for improvement in terms of the use of specific CHM tools. A review focused on digital innovations based on the PRISMA statement showed that there are five main directions, namely, data collection and integration, telemedicine, artificial intelligence, electronic medical records, and M-Health. In the hospital environment, there are considerable reservations in applying change management principles, as well as the absence of a systemic approach. The main factors that must be monitored for a successful and sustainable CHM include a clearly defined and widely communicated vision, early engagement of all stakeholders, precisely set rules, adaptation to the local context and culture, provision of a technical base, and a step-by-step implementation with strong feedback.
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Affiliation(s)
- Petra Hospodková
- Department of Economic Theories, Faculty of Economics and Management, Czech University of Life Sciences Prague, Kamýcká 129, 165 00 Prague, Czech Republic; (P.H.); (L.S.)
- Department of Biomedical Technology, Czech Technical University in Prague, 272 01 Kladno, Czech Republic; (J.B.); (V.R.)
| | - Jana Berežná
- Department of Biomedical Technology, Czech Technical University in Prague, 272 01 Kladno, Czech Republic; (J.B.); (V.R.)
| | - Miroslav Barták
- Department of Master Study Programs, Faculty of Health Studies, J. E. Purkyne University in Ústí nad Labem, 400 96 Ústí nad Labem, Czech Republic;
| | - Vladimír Rogalewicz
- Department of Biomedical Technology, Czech Technical University in Prague, 272 01 Kladno, Czech Republic; (J.B.); (V.R.)
| | - Lucie Severová
- Department of Economic Theories, Faculty of Economics and Management, Czech University of Life Sciences Prague, Kamýcká 129, 165 00 Prague, Czech Republic; (P.H.); (L.S.)
| | - Roman Svoboda
- Department of Economic Theories, Faculty of Economics and Management, Czech University of Life Sciences Prague, Kamýcká 129, 165 00 Prague, Czech Republic; (P.H.); (L.S.)
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5G and IoT Based Reporting and Accident Detection (RAD) System to Deliver First Aid Box Using Unmanned Aerial Vehicle. SENSORS 2021; 21:s21206905. [PMID: 34696118 PMCID: PMC8541234 DOI: 10.3390/s21206905] [Citation(s) in RCA: 18] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 08/30/2021] [Revised: 09/26/2021] [Accepted: 10/01/2021] [Indexed: 11/16/2022]
Abstract
Internet of Things (IoT) and 5G are enabling intelligent transportation systems (ITSs). ITSs promise to improve road safety in smart cities. Therefore, ITSs are gaining earnest devotion in the industry as well as in academics. Due to the rapid increase in population, vehicle numbers are increasing, resulting in a large number of road accidents. The majority of the time, casualties are not appropriately discovered and reported to hospitals and relatives. This lack of rapid care and first aid might result in life loss in a matter of minutes. To address all of these challenges, an intelligent system is necessary. Although several information communication technologies (ICT)-based solutions for accident detection and rescue operations have been proposed, these solutions are not compatible with all vehicles and are also costly. Therefore, we proposed a reporting and accident detection system (RAD) for a smart city that is compatible with any vehicle and less expensive. Our strategy aims to improve the transportation system at a low cost. In this context, we developed an android application that collects data related to sound, gravitational force, pressure, speed, and location of the accident from the smartphone. The value of speed helps to improve the accident detection accuracy. The collected information is further processed for accident identification. Additionally, a navigation system is designed to inform the relatives, police station, and the nearest hospital. The hospital dispatches UAV (i.e., drone with first aid box) and ambulance to the accident spot. The actual dataset from the Road Safety Open Repository is used for results generation through simulation. The proposed scheme shows promising results in terms of accuracy and response time as compared to existing techniques.
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Batista E, Moncusi MA, López-Aguilar P, Martínez-Ballesté A, Solanas A. Sensors for Context-Aware Smart Healthcare: A Security Perspective. SENSORS (BASEL, SWITZERLAND) 2021; 21:6886. [PMID: 34696099 PMCID: PMC8537585 DOI: 10.3390/s21206886] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 09/27/2021] [Revised: 10/12/2021] [Accepted: 10/14/2021] [Indexed: 12/24/2022]
Abstract
The advances in the miniaturisation of electronic devices and the deployment of cheaper and faster data networks have propelled environments augmented with contextual and real-time information, such as smart homes and smart cities. These context-aware environments have opened the door to numerous opportunities for providing added-value, accurate and personalised services to citizens. In particular, smart healthcare, regarded as the natural evolution of electronic health and mobile health, contributes to enhance medical services and people's welfare, while shortening waiting times and decreasing healthcare expenditure. However, the large number, variety and complexity of devices and systems involved in smart health systems involve a number of challenging considerations to be considered, particularly from security and privacy perspectives. To this aim, this article provides a thorough technical review on the deployment of secure smart health services, ranging from the very collection of sensors data (either related to the medical conditions of individuals or to their immediate context), the transmission of these data through wireless communication networks, to the final storage and analysis of such information in the appropriate health information systems. As a result, we provide practitioners with a comprehensive overview of the existing vulnerabilities and solutions in the technical side of smart healthcare.
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Affiliation(s)
- Edgar Batista
- Department of Computer Engineering and Mathematics, Universitat Rovira i Virgili, Av. Països Catalans 26, 43007 Tarragona, Spain; (E.B.); (M.A.M.); (A.M.-B.)
- SIMPPLE S.L., C. Joan Maragall 1A, 43003 Tarragona, Spain
| | - M. Angels Moncusi
- Department of Computer Engineering and Mathematics, Universitat Rovira i Virgili, Av. Països Catalans 26, 43007 Tarragona, Spain; (E.B.); (M.A.M.); (A.M.-B.)
| | - Pablo López-Aguilar
- Anti-Phishing Working Group EU, Av. Diagonal 621–629, 08028 Barcelona, Spain;
| | - Antoni Martínez-Ballesté
- Department of Computer Engineering and Mathematics, Universitat Rovira i Virgili, Av. Països Catalans 26, 43007 Tarragona, Spain; (E.B.); (M.A.M.); (A.M.-B.)
| | - Agusti Solanas
- Department of Computer Engineering and Mathematics, Universitat Rovira i Virgili, Av. Països Catalans 26, 43007 Tarragona, Spain; (E.B.); (M.A.M.); (A.M.-B.)
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Zhang C, Xu C, Sharif K, Zhu L. Privacy-preserving contact tracing in 5G-integrated and blockchain-based medical applications. COMPUTER STANDARDS & INTERFACES 2021; 77:103520. [PMID: 33584007 PMCID: PMC7871810 DOI: 10.1016/j.csi.2021.103520] [Citation(s) in RCA: 13] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/28/2020] [Revised: 01/20/2021] [Accepted: 02/04/2021] [Indexed: 05/14/2023]
Abstract
The current pandemic situation due to COVID-19 is seriously affecting our daily work and life. To block the propagation of infectious diseases, an effective contact tracing mechanism needs to be implemented. Unfortunately, existing schemes have severe privacy issues that jeopardize the identity-privacy and location-privacy for both users and patients. Although some privacy-preserving systems have been proposed, there remain several issues caused by centralization. To mitigate this issues, we propose a Privacy-preserving contact Tracing scheme in 5G-integrated and Blockchain-based Medical applications, named PTBM. In PTBM, the 5G-integrated network is leveraged as the underlying infrastructure where everyone can perform location checking with his mobile phones or even wearable devices connected to 5G network to find whether they have been in possible contact with a diagnosed patient without violating their privacy. A trusted medical center can effectively trace the patients and their corresponding close contacts. Thorough security and performance analysis show that the proposed PTBM scheme achieves privacy protection, traceability, reliability, and authentication, with high computation & communication efficiency and low latency.
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Affiliation(s)
- Can Zhang
- School of Computer Science & Technology, Beijing Institute of Technology, Beijing, China
| | - Chang Xu
- School of Cyberspace Science & Technology, Beijing Institute of Technology, Beijing, China
| | - Kashif Sharif
- School of Computer Science & Technology, Beijing Institute of Technology, Beijing, China
| | - Liehuang Zhu
- School of Cyberspace Science & Technology, Beijing Institute of Technology, Beijing, China
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Machine Learning for Authentication and Authorization in IoT: Taxonomy, Challenges and Future Research Direction. SENSORS 2021; 21:s21155122. [PMID: 34372360 PMCID: PMC8347961 DOI: 10.3390/s21155122] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Key Words] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 05/19/2021] [Revised: 06/13/2021] [Accepted: 06/15/2021] [Indexed: 12/04/2022]
Abstract
With the ongoing efforts for widespread Internet of Things (IoT) adoption, one of the key factors hindering the wide acceptance of IoT is security. Securing IoT networks such as the electric power grid or water supply systems has emerged as a major national and global priority. To address the security issue of IoT, several studies are being carried out that involve the use of, but are not limited to, blockchain, artificial intelligence, and edge/fog computing. Authentication and authorization are crucial aspects of the CIA triad to protect the network from malicious parties. However, existing authorization and authentication schemes are not sufficient for handling security, due to the scale of the IoT networks and the resource-constrained nature of devices. In order to overcome challenges due to various constraints of IoT networks, there is a significant interest in using machine learning techniques to assist in the authentication and authorization process for IoT. In this paper, recent advances in authentication and authorization techniques for IoT networks are reviewed. Based on the review, we present a taxonomy of authentication and authorization schemes in IoT focusing on machine learning-based schemes. Using the presented taxonomy, a thorough analysis is provided of the authentication and authorization (AA) security threats and challenges for IoT. Furthermore, various criteria to achieve a high degree of AA resiliency in IoT implementations to enhance IoT security are evaluated. Lastly, a detailed discussion on open issues, challenges, and future research directions is presented for enabling secure communication among IoT nodes.
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34
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Zhuang L, Jumani AK, Sbeih A. Internet of things-assisted intelligent monitoring model to analyse the physical health condition. Technol Health Care 2021; 29:1277-1290. [PMID: 34092676 DOI: 10.3233/thc-213006] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/15/2022]
Abstract
BACKGROUND Nowadays, smart healthcare minimizes medical facilities costs, ease staff burden, achieve unified control of materials and records, and enhance patients' medical experience. Smart healthcare treatments have critical barriers to improving patient outcomes, reducing the regulatory burden, and promoting the transition from volume to benefit. OBJECTIVE In this paper, the Internet of Things-assisted Intelligent Monitoring Model (IoT-IMM) has been proposed to improve patient health and maintain health records. METHOD The advanced IoT sensors can monitor patient health and insert into the patients' bodies. Information collected can be analyzed, aggregated, and mined to predict diseases at an early stage. For that, an enhanced deep learning network using Bayes theorem (EDLN-BT) benefits to obtain and verify various patient health data in a specific aspect, making it easy to supervise the patient's activities. RESULTS The IoT-IMM-based EDLN-BT results show the smart health care monitoring has undergone substantial growth, improving patient satisfaction for the quality of the healthcare services offered in hospitals and many other healthcare facilities. It helps predict health diseases with increased accuracy, prediction rate with minimal residual error delay, and energy consumption.
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Affiliation(s)
- Liang Zhuang
- Sports Department, Chongqing Jiaotong University, Chongqing, China
| | | | - Asma Sbeih
- Engineering and Information Department, Palestine Ahliya University, Palestine
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35
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Improving patient care through the development of a 5G-powered smart hospital. Nat Med 2021; 27:936-937. [PMID: 34017134 DOI: 10.1038/s41591-021-01376-9] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/12/2023]
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36
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A Comprehensive Review on Energy Harvesting Integration in IoT Systems from MAC Layer Perspective: Challenges and Opportunities. SENSORS 2021; 21:s21093097. [PMID: 33946778 PMCID: PMC8125266 DOI: 10.3390/s21093097] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 02/10/2021] [Revised: 04/01/2021] [Accepted: 04/25/2021] [Indexed: 11/19/2022]
Abstract
The Internet of Things (IoT) is revolutionizing technology in a wide variety of areas, from smart healthcare to smart transportation. Due to the increasing trend in the number of IoT devices and their different levels of energy requirements, one of the significant concerns in IoT implementations is powering up the IoT devices with conventional limited lifetime batteries. One efficient solution to prolong the lifespan of these implementations is to integrate energy harvesting technologies into IoT systems. However, due to the characteristics of the energy harvesting technologies and the different energy requirements of the IoT systems, this integration is a challenging issue. Since Medium Access Control (MAC) layer operations are the most energy-consuming processes in wireless communications, they have undergone different modifications and enhancements in the literature to address this issue. Despite the essential role of the MAC layer to efficiently optimize the energy consumption in IoT systems, there is a gap in the literature to systematically understand the possible MAC layer improvements allowing energy harvesting integration. In this survey paper, we provide a unified framework for different wireless technologies to measure their energy consumption from a MAC operation-based perspective, returning the essential information to select the suitable energy harvesters for different communication technologies within IoT systems. Our analyses show that only 23% of the presented protocols in the literature fulfill Energy Neutral Operation (ENO) condition. Moreover, 48% of them are based on the hybrid approaches, which shows its capability to be adapted to energy harvesting. We expect this survey paper to lead researchers in academia and industry to understand the current state-of-the-art of energy harvesting MAC protocols for IoT and improve the early adoption of these protocols in IoT systems.
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dos Anjos JCS, Gross JLG, Matteussi KJ, González GV, Leithardt VRQ, Geyer CFR. An Algorithm to Minimize Energy Consumption and Elapsed Time for IoT Workloads in a Hybrid Architecture. SENSORS 2021; 21:s21092914. [PMID: 33919222 PMCID: PMC8122349 DOI: 10.3390/s21092914] [Citation(s) in RCA: 12] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 02/15/2021] [Revised: 04/10/2021] [Accepted: 04/16/2021] [Indexed: 11/16/2022]
Abstract
Advances in communication technologies have made the interaction of small devices, such as smartphones, wearables, and sensors, scattered on the Internet, bringing a whole new set of complex applications with ever greater task processing needs. These Internet of things (IoT) devices run on batteries with strict energy restrictions. They tend to offload task processing to remote servers, usually to cloud computing (CC) in datacenters geographically located away from the IoT device. In such a context, this work proposes a dynamic cost model to minimize energy consumption and task processing time for IoT scenarios in mobile edge computing environments. Our approach allows for a detailed cost model, with an algorithm called TEMS that considers energy, time consumed during processing, the cost of data transmission, and energy in idle devices. The task scheduling chooses among cloud or mobile edge computing (MEC) server or local IoT devices to achieve better execution time with lower cost. The simulated environment evaluation saved up to 51.6% energy consumption and improved task completion time up to 86.6%.
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Affiliation(s)
- Julio C. S. dos Anjos
- Institute of Informatics, UFRGS/PPGC, Federal University of Rio Grande do Sul, RS, Porto Alegre 91501-970, Brazil; (J.L.G.G.); (K.J.M.); (C.F.R.G.)
- Correspondence:
| | - João L. G. Gross
- Institute of Informatics, UFRGS/PPGC, Federal University of Rio Grande do Sul, RS, Porto Alegre 91501-970, Brazil; (J.L.G.G.); (K.J.M.); (C.F.R.G.)
| | - Kassiano J. Matteussi
- Institute of Informatics, UFRGS/PPGC, Federal University of Rio Grande do Sul, RS, Porto Alegre 91501-970, Brazil; (J.L.G.G.); (K.J.M.); (C.F.R.G.)
| | - Gabriel V. González
- Faculty of Science, Expert Systems and Applications Laboratory, University of Salamanca, 37008 Salamanca, Spain;
| | - Valderi R. Q. Leithardt
- COPELABS, Universidade Lusófona de Humanidades e Tecnologias, 1749-024 Lisboa, Portugal;
- VALORIZA, Research Center for Endogenous Resource Valorization, Polytechnic Institute of Portalegre, 7300-555 Portalegre, Portugal
| | - Claudio F. R. Geyer
- Institute of Informatics, UFRGS/PPGC, Federal University of Rio Grande do Sul, RS, Porto Alegre 91501-970, Brazil; (J.L.G.G.); (K.J.M.); (C.F.R.G.)
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Börner Valdez L, Datta RR, Babic B, Müller DT, Bruns CJ, Fuchs HF. 5G mobile communication applications for surgery: An overview of the latest literature. Artif Intell Gastrointest Endosc 2021; 2:1-11. [DOI: 10.37126/aige.v2.i1.1] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/23/2021] [Revised: 03/10/2021] [Accepted: 03/12/2021] [Indexed: 02/06/2023] Open
Abstract
Fifth-generation wireless network, 5G, is expected to bring surgery to a next level. Remote surgery and telementoring could be enabled and be brought into routine medical care due to 5G characteristics, such as extreme high bandwidth, ultra-short latency, multiconnectivity, high mobility, high availability, and high reliability. This work explores the benefits, applications and demands of 5G for surgery. Therefore, the development of previous surgical procedures from using older networks to 5G is outlined. The current state of 5G in surgical research studies is discussed, as well as future aspects and requirements of 5G in surgery are presented.
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Affiliation(s)
| | - Rabi R Datta
- Department of Surgery, University of Cologne, Cologne 50937, Germany
| | - Benjamin Babic
- Department of Surgery, University of Cologne, Cologne 50937, Germany
| | - Dolores T Müller
- Department of Surgery, University of Cologne, Cologne 50937, Germany
| | | | - Hans F Fuchs
- Department of Surgery, University of Cologne, Cologne 50937, Germany
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Ozdemir D, Cibulka J, Stepankova O, Holmerova I. Design and implementation framework of social assistive robotics for people with dementia - a scoping review. HEALTH AND TECHNOLOGY 2021. [DOI: 10.1007/s12553-021-00522-0] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/16/2022]
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Fagherazzi G, Fischer A, Ismael M, Despotovic V. Voice for Health: The Use of Vocal Biomarkers from Research to Clinical Practice. Digit Biomark 2021; 5:78-88. [PMID: 34056518 PMCID: PMC8138221 DOI: 10.1159/000515346] [Citation(s) in RCA: 74] [Impact Index Per Article: 18.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/05/2021] [Accepted: 02/18/2021] [Indexed: 12/17/2022] Open
Abstract
Diseases can affect organs such as the heart, lungs, brain, muscles, or vocal folds, which can then alter an individual's voice. Therefore, voice analysis using artificial intelligence opens new opportunities for healthcare. From using vocal biomarkers for diagnosis, risk prediction, and remote monitoring of various clinical outcomes and symptoms, we offer in this review an overview of the various applications of voice for health-related purposes. We discuss the potential of this rapidly evolving environment from a research, patient, and clinical perspective. We also discuss the key challenges to overcome in the near future for a substantial and efficient use of voice in healthcare.
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Affiliation(s)
- Guy Fagherazzi
- Deep Digital Phenotyping Research Unit, Department of Population Health, Luxembourg Institute of Health, Strassen, Luxembourg
| | - Aurélie Fischer
- Deep Digital Phenotyping Research Unit, Department of Population Health, Luxembourg Institute of Health, Strassen, Luxembourg
| | - Muhannad Ismael
- IT for Innovation in Services Department (ITIS), Luxembourg Institute of Science and Technology (LIST), Esch-sur-Alzette, Luxembourg
| | - Vladimir Despotovic
- Department of Computer Science, Faculty of Science, Technology and Medicine, University of Luxembourg, Esch-sur-Alzette, Luxembourg
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Frontiers of Robotic Gastroscopy: A Comprehensive Review of Robotic Gastroscopes and Technologies. Cancers (Basel) 2020; 12:cancers12102775. [PMID: 32998213 PMCID: PMC7600666 DOI: 10.3390/cancers12102775] [Citation(s) in RCA: 25] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/28/2020] [Revised: 09/22/2020] [Accepted: 09/25/2020] [Indexed: 02/06/2023] Open
Abstract
Simple Summary With the rapid advancements of medical technologies and patients’ higher expectations for precision diagnostic and surgical outcomes, gastroscopy has been increasingly adopted for the detection and treatment of pathologies in the upper digestive tract. Correspondingly, robotic gastroscopes with advanced functionalities, e.g., disposable, dextrous and not invasive solutions, have been developed in the last years. This article extensively reviews these novel devices and describes their functionalities and performance. In addition, the implementation of artificial intelligence technology into robotic gastroscopes, combined with remote telehealth endoscopy services, are discussed. The aim of this paper is to provide a clear and comprehensive view of contemporary robotic gastroscopes and ancillary technologies to support medical practitioners in their future clinical practice but also to inspire and drive new engineering developments. Abstract Upper gastrointestinal (UGI) tract pathology is common worldwide. With recent advancements in robotics, innovative diagnostic and treatment devices have been developed and several translational attempts made. This review paper aims to provide a highly pictorial critical review of robotic gastroscopes, so that clinicians and researchers can obtain a swift and comprehensive overview of key technologies and challenges. Therefore, the paper presents robotic gastroscopes, either commercial or at a progressed technology readiness level. Among them, we show tethered and wireless gastroscopes, as well as devices aimed for UGI surgery. The technological features of these instruments, as well as their clinical adoption and performance, are described and compared. Although the existing endoscopic devices have thus far provided substantial improvements in the effectiveness of diagnosis and treatment, there are certain aspects that represent unwavering predicaments of the current gastroenterology practice. A detailed list includes difficulties and risks, such as transmission of communicable diseases (e.g., COVID-19) due to the doctor–patient proximity, unchanged learning curves, variable detection rates, procedure-related adverse events, endoscopists’ and nurses’ burnouts, limited human and/or material resources, and patients’ preferences to choose non-invasive options that further interfere with the successful implementation and adoption of routine screening. The combination of robotics and artificial intelligence, as well as remote telehealth endoscopy services, are also discussed, as viable solutions to improve existing platforms for diagnosis and treatment are emerging.
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