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For: Appelboom G, Yang AH, Christophe BR, Bruce EM, Slomian J, Bruyère O, Bruce SS, Zacharia BE, Reginster JY, Connolly ES Jr. The promise of wearable activity sensors to define patient recovery. J Clin Neurosci 2014;21:1089-93. [PMID: 24534628 DOI: 10.1016/j.jocn.2013.12.003] [Cited by in Crossref: 66] [Cited by in F6Publishing: 70] [Article Influence: 6.6] [Reference Citation Analysis]
Number Citing Articles
1 Haddas R, Lawlor M, Moghadam E, Fields A, Wood A. Spine Patient Care with Wearable Medical Technology: State-of-the-Art, Opportunities, and Challenges - A Systematic Review. Spine J 2023:S1529-9430(23)00102-X. [PMID: 36893918 DOI: 10.1016/j.spinee.2023.02.020] [Reference Citation Analysis]
2 Lin SH, Ling R, Rosenthal S. Opening the black box of fitness tracking: understanding the mechanisms of feedback in motivating physical activity among older Singaporeans. Behaviour & Information Technology 2023. [DOI: 10.1080/0144929x.2023.2184180] [Reference Citation Analysis]
3 Babaei N, Hannani N, Dabanloo NJ, Bahadori S. A Systematic Review of the Use of Commercial Wearable Activity Trackers for Monitoring Recovery in Individuals Undergoing Total Hip Replacement Surgery. Cyborg Bionic Syst 2022;2022:9794641. [PMID: 36751476 DOI: 10.34133/2022/9794641] [Reference Citation Analysis]
4 Pandrangi VC, Jorizzo M, Shah S, Bruening J, Wax MK, Clayburgh D, Andersen P, Li RJ. Monitoring postoperative ambulation and sleep after head and neck surgery: A feasibility and utility study using wearable devices. Head Neck 2022. [PMID: 36052957 DOI: 10.1002/hed.27182] [Reference Citation Analysis]
5 Barber EL, Garg R, Strohl A, Roque D, Tanner E. Feasibility and Prediction of Adverse Events in a Postoperative Monitoring Program of Patient-Reported Outcomes and a Wearable Device Among Gynecologic Oncology Patients. JCO Clin Cancer Inform 2022;6:e2100167. [PMID: 35427184 DOI: 10.1200/CCI.21.00167] [Cited by in Crossref: 1] [Cited by in F6Publishing: 1] [Article Influence: 1.0] [Reference Citation Analysis]
6 Devine JK, Schwartz LP, Hursh SR. Technical, Regulatory, Economic, and Trust Issues Preventing Successful Integration of Sensors into the Mainstream Consumer Wearables Market. Sensors 2022;22:2731. [DOI: 10.3390/s22072731] [Reference Citation Analysis]
7 Abiodun TN, Okunbor D, Chukwudi Osamor V. Remote Health Monitoring in Clinical Trial using Machine Learning Techniques: A Conceptual Framework. Health Technol . [DOI: 10.1007/s12553-022-00652-z] [Reference Citation Analysis]
8 Knight SR, Ng N, Tsanas A, Mclean K, Pagliari C, Harrison EM. Mobile devices and wearable technology for measuring patient outcomes after surgery: a systematic review. NPJ Digit Med 2021;4:157. [PMID: 34773071 DOI: 10.1038/s41746-021-00525-1] [Cited by in Crossref: 6] [Cited by in F6Publishing: 7] [Article Influence: 3.0] [Reference Citation Analysis]
9 Alizadeh Noghani M, Browning D, Caccese V, DePoy E, Gilson S, Beaumont R, Hejrati B. Design and evaluation of the Afari: a three-wheeled mobility and balance support device for outdoor exercise. Assist Technol 2021;:1-10. [PMID: 34495809 DOI: 10.1080/10400435.2021.1976885] [Cited by in Crossref: 1] [Article Influence: 0.5] [Reference Citation Analysis]
10 Amin T, Mobbs RJ, Mostafa N, Sy LW, Choy WJ. Wearable devices for patient monitoring in the early postoperative period: a literature review. Mhealth 2021;7:50. [PMID: 34345627 DOI: 10.21037/mhealth-20-131] [Cited by in Crossref: 1] [Cited by in F6Publishing: 1] [Article Influence: 0.5] [Reference Citation Analysis]
11 Jourdan T, Debs N, Frindel C. The Contribution of Machine Learning in the Validation of Commercial Wearable Sensors for Gait Monitoring in Patients: A Systematic Review. Sensors (Basel) 2021;21:4808. [PMID: 34300546 DOI: 10.3390/s21144808] [Cited by in Crossref: 7] [Cited by in F6Publishing: 8] [Article Influence: 3.5] [Reference Citation Analysis]
12 Roby-Brami A, Jarrassé N, Parry R. Impairment and Compensation in Dexterous Upper-Limb Function After Stroke. From the Direct Consequences of Pyramidal Tract Lesions to Behavioral Involvement of Both Upper-Limbs in Daily Activities. Front Hum Neurosci 2021;15:662006. [PMID: 34234659 DOI: 10.3389/fnhum.2021.662006] [Cited by in Crossref: 3] [Cited by in F6Publishing: 3] [Article Influence: 1.5] [Reference Citation Analysis]
13 Tang A, Behery OA, Singh V, Yeroushalmi D, Davidovitch R, Schwarzkopf R. Do Physical Activity and Sleep Correlate with Patient-Reported Outcomes in Total Hip Arthroplasty? The Journal of Hip Surgery 2021;05:047-054. [DOI: 10.1055/s-0041-1729764] [Cited by in Crossref: 1] [Article Influence: 0.5] [Reference Citation Analysis]
14 Keogh A, Taraldsen K, Caulfield B, Vereijken B. It's not about the capture, it's about what we can learn": a qualitative study of experts' opinions and experiences regarding the use of wearable sensors to measure gait and physical activity. J Neuroeng Rehabil 2021;18:78. [PMID: 33975600 DOI: 10.1186/s12984-021-00874-8] [Cited by in Crossref: 3] [Cited by in F6Publishing: 3] [Article Influence: 1.5] [Reference Citation Analysis]
15 Nevo Y, Shaltiel T, Constantini N, Rosin D, Gutman M, Zmora O, Nevler A. Activity Tracking After Surgery: Does It Correlate With Postoperative Complications? Am Surg 2021;:3134820988818. [PMID: 33522277 DOI: 10.1177/0003134820988818] [Cited by in Crossref: 1] [Cited by in F6Publishing: 1] [Article Influence: 0.5] [Reference Citation Analysis]
16 Kelly R, Jones S, Price B, Katz D, McCormick C, Pearce O. Measuring Daily Compliance With Physical Activity Tracking in Ambulatory Surgery Patients: Comparative Analysis of Five Compliance Criteria. JMIR Mhealth Uhealth 2021;9:e22846. [PMID: 33496677 DOI: 10.2196/22846] [Cited by in Crossref: 2] [Cited by in F6Publishing: 2] [Article Influence: 1.0] [Reference Citation Analysis]
17 Weisberg A, Campelo AM, Bhaidani T, Katz L. Physical Activity Tracking Wristbands for Use in Research With Older Adults: An Overview and Recommendations. Journal for the Measurement of Physical Behaviour 2020;3:265-273. [DOI: 10.1123/jmpb.2019-0050] [Cited by in Crossref: 1] [Cited by in F6Publishing: 1] [Article Influence: 0.3] [Reference Citation Analysis]
18 Bizzego A, Gabrieli G, Furlanello C, Esposito G. Comparison of Wearable and Clinical Devices for Acquisition of Peripheral Nervous System Signals. Sensors (Basel) 2020;20:E6778. [PMID: 33260880 DOI: 10.3390/s20236778] [Cited by in Crossref: 13] [Cited by in F6Publishing: 14] [Article Influence: 4.3] [Reference Citation Analysis]
19 Keogh A, Johnston W, Ashton M, Sett N, Mullan R, Donnelly S, Dorn JF, Calvo F, Mac Namee B, Caulfield B. "It's Not as Simple as Just Looking at One Chart": A Qualitative Study Exploring Clinician's Opinions on Various Visualisation Strategies to Represent Longitudinal Actigraphy Data. Digit Biomark 2020;4:87-99. [PMID: 33442583 DOI: 10.1159/000512044] [Cited by in Crossref: 3] [Cited by in F6Publishing: 3] [Article Influence: 1.0] [Reference Citation Analysis]
20 Fridriksdottir E, Bonomi AG. Accelerometer-Based Human Activity Recognition for Patient Monitoring Using a Deep Neural Network. Sensors (Basel) 2020;20:E6424. [PMID: 33182813 DOI: 10.3390/s20226424] [Cited by in Crossref: 20] [Cited by in F6Publishing: 20] [Article Influence: 6.7] [Reference Citation Analysis]
21 Nelson EC, Sools AM, Vollenbroek-Hutten MMR, Verhagen T, Noordzij ML. Embodiment of Wearable Technology: Qualitative Longitudinal Study. JMIR Mhealth Uhealth 2020;8:e16973. [PMID: 33141093 DOI: 10.2196/16973] [Cited by in Crossref: 5] [Cited by in F6Publishing: 5] [Article Influence: 1.7] [Reference Citation Analysis]
22 Bizzego A, Gabrieli G, Furlanello C, Esposito G. Comparison of wearable and clinical devices for acquisition of peripheral nervous system signals.. [DOI: 10.1101/2020.10.27.356980] [Reference Citation Analysis]
23 Lang CE, Barth J, Holleran CL, Konrad JD, Bland MD. Implementation of Wearable Sensing Technology for Movement: Pushing Forward into the Routine Physical Rehabilitation Care Field. Sensors (Basel) 2020;20. [PMID: 33050368 DOI: 10.3390/s20205744] [Cited by in Crossref: 29] [Cited by in F6Publishing: 25] [Article Influence: 9.7] [Reference Citation Analysis]
24 [DOI: 10.1145/3417113.3422179] [Cited by in Crossref: 3] [Cited by in F6Publishing: 1] [Article Influence: 1.0] [Reference Citation Analysis]
25 Robinson TN, Kovar A, Carmichael H, Overbey DM, Goode CM, Jones TS. Postoperative delirium is associated with decreased recovery of ambulation one-month after surgery. Am J Surg 2021;221:856-61. [PMID: 32933746 DOI: 10.1016/j.amjsurg.2020.08.031] [Cited by in Crossref: 6] [Cited by in F6Publishing: 5] [Article Influence: 2.0] [Reference Citation Analysis]
26 Kelly R, Jones S, Price B, Katz D, Mccormick C, Pearce O. Measuring Daily Compliance With Physical Activity Tracking in Ambulatory Surgery Patients: Comparative Analysis of Five Compliance Criteria (Preprint).. [DOI: 10.2196/preprints.22846] [Reference Citation Analysis]
27 Hong E, Jakacic AN, Sahoo A, Breyman E, Ukegbu G, Tabacof L, Sachs D, Migliaccio J, Phipps C, Schwartz J, Capasso M, Carpenter M, Putrino D. Use of Fitbit Technology Does Not Impact Health Biometrics in a Community of Older Adults. Telemed J E Health 2021;27:409-13. [PMID: 32522097 DOI: 10.1089/tmj.2020.0060] [Cited by in Crossref: 1] [Cited by in F6Publishing: 1] [Article Influence: 0.3] [Reference Citation Analysis]
28 Li J, Chang X. Improving mobile health apps usage: a quantitative study on mPower data of Parkinson's disease. ITP 2020;34:399-420. [DOI: 10.1108/itp-07-2019-0366] [Cited by in Crossref: 2] [Cited by in F6Publishing: 2] [Article Influence: 0.7] [Reference Citation Analysis]
29 Massouh F, Martin R, Chan B, Ma J, Patel V, Geary MP, Laffey JG, Wijeysundera DN, Abdallah FW. Is Activity Tracker-Measured Ambulation an Accurate and Reliable Determinant of Postoperative Quality of Recovery? A Prospective Cohort Validation Study. Anesth Analg 2019;129:1144-52. [PMID: 30379677 DOI: 10.1213/ANE.0000000000003913] [Cited by in Crossref: 9] [Cited by in F6Publishing: 10] [Article Influence: 3.0] [Reference Citation Analysis]
30 Lynch C, Bird S, Lythgo N, Selva-Raj I. Changing the Physical Activity Behavior of Adults With Fitness Trackers: A Systematic Review and Meta-Analysis. Am J Health Promot 2020;34:418-30. [PMID: 31858812 DOI: 10.1177/0890117119895204] [Cited by in Crossref: 30] [Cited by in F6Publishing: 34] [Article Influence: 7.5] [Reference Citation Analysis]
31 Nelson EC, Sools AM, Vollenbroek-hutten MMR, Verhagen T, Noordzij ML. Embodiment of Wearable Technology: Qualitative Longitudinal Study (Preprint).. [DOI: 10.2196/preprints.16973] [Reference Citation Analysis]
32 Nelson EC, Verhagen T, Vollenbroek-Hutten M, Noordzij ML. Is Wearable Technology Becoming Part of Us? Developing and Validating a Measurement Scale for Wearable Technology Embodiment. JMIR Mhealth Uhealth 2019;7:e12771. [PMID: 31400106 DOI: 10.2196/12771] [Cited by in Crossref: 8] [Cited by in F6Publishing: 8] [Article Influence: 2.0] [Reference Citation Analysis]
33 Merchea A, Larson DW. Enhanced Recovery After Surgery and Future Directions. Surgical Clinics of North America 2018;98:1287-92. [DOI: 10.1016/j.suc.2018.07.014] [Cited by in Crossref: 8] [Cited by in F6Publishing: 8] [Article Influence: 1.6] [Reference Citation Analysis]
34 Marin TS, Kourbelis C, Foote J, Newman P, Brown A, Daniel M, Coffee NT, Nicholls SJ, Ganesan A, Versace VL, Beks H, Haedtke CA, Clark RA. Examining adherence to activity monitoring devices to improve physical activity in adults with cardiovascular disease: A systematic review. Eur J Prev Cardiol 2019;26:382-97. [PMID: 30322268 DOI: 10.1177/2047487318805580] [Cited by in Crossref: 21] [Cited by in F6Publishing: 22] [Article Influence: 4.2] [Reference Citation Analysis]
35 Agarwal DK, Viers BR, Rivera ME, Nienow DA, Frank I, Tollefson MK, Gettman MT. Physical activity monitors can be successfully implemented to assess perioperative activity in urologic surgery. Mhealth 2018;4:43. [PMID: 30363722 DOI: 10.21037/mhealth.2018.09.05] [Cited by in Crossref: 11] [Cited by in F6Publishing: 12] [Article Influence: 2.2] [Reference Citation Analysis]
36 Blumenthal J, Wilkinson A, Chignell M. Physiotherapists' and Physiotherapy Students' Perspectives on the Use of Mobile or Wearable Technology in Their Practice. Physiother Can 2018;70:251-61. [PMID: 30275650 DOI: 10.3138/ptc.2016-100.e] [Cited by in Crossref: 16] [Cited by in F6Publishing: 16] [Article Influence: 3.2] [Reference Citation Analysis]
37 Feldman K, Johnson RA, Chawla NV. The State of Data in Healthcare: Path Towards Standardization. J Healthc Inform Res 2018;2:248-71. [DOI: 10.1007/s41666-018-0019-8] [Cited by in Crossref: 9] [Cited by in F6Publishing: 10] [Article Influence: 1.8] [Reference Citation Analysis]
38 Pelizzo G, Guddo A, Puglisi A, De Silvestri A, Comparato C, Valenza M, Bordonaro E, Calcaterra V. Accuracy of a Wrist-Worn Heart Rate Sensing Device during Elective Pediatric Surgical Procedures. Children (Basel) 2018;5:E38. [PMID: 29518020 DOI: 10.3390/children5030038] [Cited by in Crossref: 7] [Cited by in F6Publishing: 9] [Article Influence: 1.4] [Reference Citation Analysis]
39 Ma J, Martin R, Chan B, Gofeld M, Geary MP, Laffey JG, Abdallah FW. Using Activity Trackers to Quantify Postpartum Ambulation. Anesthesiology 2018;128:598-608. [DOI: 10.1097/aln.0000000000001979] [Cited by in Crossref: 14] [Cited by in F6Publishing: 14] [Article Influence: 2.8] [Reference Citation Analysis]
40 Macridis S, Johnston N, Johnson S, Vallance JK. Consumer physical activity tracking device ownership and use among a population-based sample of adults. PLoS One 2018;13:e0189298. [PMID: 29293532 DOI: 10.1371/journal.pone.0189298] [Cited by in Crossref: 40] [Cited by in F6Publishing: 42] [Article Influence: 8.0] [Reference Citation Analysis]
41 Hong J, Cho J. The Quantified Self. The Wiley Handbook of Human Computer Interaction 2017. [DOI: 10.1002/9781118976005.ch42] [Reference Citation Analysis]
42 Bouwsma EVA, Anema JR, Vonk Noordegraaf A, de Vet HCW, Huirne JAF. Using patient data to optimize an expert-based guideline on convalescence recommendations after gynecological surgery: a prospective cohort study. BMC Surg 2017;17:129. [PMID: 29212492 DOI: 10.1186/s12893-017-0317-8] [Cited by in Crossref: 7] [Cited by in F6Publishing: 8] [Article Influence: 1.2] [Reference Citation Analysis]
43 Chebbout R, Heywood EG, Drake TM, Wild JRL, Lee J, Wilson M, Lee MJ. A systematic review of the incidence of and risk factors for postoperative atrial fibrillation following general surgery. Anaesthesia 2018;73:490-8. [DOI: 10.1111/anae.14118] [Cited by in Crossref: 35] [Cited by in F6Publishing: 37] [Article Influence: 5.8] [Reference Citation Analysis]
44 Nehra AK, Gettman MT, Rivera ME, Agarwal DK, O’neil DA, Jenkins SM, Tollefson MK, Viers BR. A Survey of Perceptions and Acceptance of Wearable Technology for Health Monitoring in a Urological Patient Population. Urology Practice 2017;4:508-14. [DOI: 10.1016/j.urpr.2016.10.002] [Cited by in Crossref: 8] [Cited by in F6Publishing: 8] [Article Influence: 1.3] [Reference Citation Analysis]
45 Beg MS, Gupta A, Stewart T, Rethorst CD. Promise of Wearable Physical Activity Monitors in Oncology Practice. J Oncol Pract 2017;13:82-9. [PMID: 28387544 DOI: 10.1200/JOP.2016.016857] [Cited by in Crossref: 53] [Cited by in F6Publishing: 58] [Article Influence: 8.8] [Reference Citation Analysis]
46 Kwon YJ, Aung T, Synovec SM, Oberle AD, Hanton CR, Whittington J, Goulding EH, Witbrodt BC, Bonasera SJ, Schenk AK. Classifying smartphone-based accelerometer data to obtain validated measures of subject activity status, step count, and gait speed.. [DOI: 10.1101/160317] [Reference Citation Analysis]
47 Regazzoni D, Rizzi C. Patients’ evaluation based on digital motion acquisition. Computer-Aided Design and Applications 2016;13:808-815. [DOI: 10.1080/16864360.2016.1168224] [Cited by in Crossref: 2] [Article Influence: 0.3] [Reference Citation Analysis]
48 de Vries HJ, Kooiman TJ, van Ittersum MW, van Brussel M, de Groot M. Do activity monitors increase physical activity in adults with overweight or obesity? A systematic review and meta-analysis. Obesity (Silver Spring) 2016;24:2078-91. [PMID: 27670401 DOI: 10.1002/oby.21619] [Cited by in Crossref: 88] [Cited by in F6Publishing: 82] [Article Influence: 12.6] [Reference Citation Analysis]
49 Bai Y, Welk GJ, Nam YH, Lee JA, Lee JM, Kim Y, Meier NF, Dixon PM. Comparison of Consumer and Research Monitors under Semistructured Settings. Med Sci Sports Exerc 2016;48:151-8. [PMID: 26154336 DOI: 10.1249/MSS.0000000000000727] [Cited by in Crossref: 122] [Cited by in F6Publishing: 124] [Article Influence: 17.4] [Reference Citation Analysis]
50 Nelson EC, Verhagen T, Noordzij ML. Health empowerment through activity trackers: An empirical smart wristband study. Computers in Human Behavior 2016;62:364-74. [DOI: 10.1016/j.chb.2016.03.065] [Cited by in Crossref: 91] [Cited by in F6Publishing: 91] [Article Influence: 13.0] [Reference Citation Analysis]
51 Mobbs RJ, Phan K, Maharaj M, Rao PJ. Physical Activity Measured with Accelerometer and Self-Rated Disability in Lumbar Spine Surgery: A Prospective Study. Global Spine J 2016;6:459-64. [PMID: 27433430 DOI: 10.1055/s-0035-1565259] [Cited by in Crossref: 53] [Cited by in F6Publishing: 62] [Article Influence: 7.6] [Reference Citation Analysis]
52 Chang RC, Lu HP, Yang P, Luarn P. Reciprocal Reinforcement Between Wearable Activity Trackers and Social Network Services in Influencing Physical Activity Behaviors. JMIR Mhealth Uhealth 2016;4:e84. [PMID: 27380798 DOI: 10.2196/mhealth.5637] [Cited by in Crossref: 22] [Cited by in F6Publishing: 24] [Article Influence: 3.1] [Reference Citation Analysis]
53 Risso NA, Neyem A, Benedetto JI, Carrillo MJ, Farías A, Gajardo MJ, Loyola O. A cloud-based mobile system to improve respiratory therapy services at home. J Biomed Inform 2016;63:45-53. [PMID: 27392646 DOI: 10.1016/j.jbi.2016.07.006] [Cited by in Crossref: 19] [Cited by in F6Publishing: 20] [Article Influence: 2.7] [Reference Citation Analysis]
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55 Steele Gray C, Gill A, Khan AI, Hans PK, Kuluski K, Cott C. The Electronic Patient Reported Outcome Tool: Testing Usability and Feasibility of a Mobile App and Portal to Support Care for Patients With Complex Chronic Disease and Disability in Primary Care Settings. JMIR Mhealth Uhealth 2016;4:e58. [PMID: 27256035 DOI: 10.2196/mhealth.5331] [Cited by in Crossref: 69] [Cited by in F6Publishing: 70] [Article Influence: 9.9] [Reference Citation Analysis]
56 Ferrari A, Ginis P, Nieuwboer A, Greenlaw R, Muddiman A, Chiari L. Handling Gait Impairments of Persons with Parkinson’s Disease by Means of Real-Time Biofeedback in a Daily Life Environment. In: Chang CK, Chiari L, Cao Y, Jin H, Mokhtari M, Aloulou H, editors. Inclusive Smart Cities and Digital Health. Cham: Springer International Publishing; 2016. pp. 250-61. [DOI: 10.1007/978-3-319-39601-9_22] [Cited by in Crossref: 8] [Article Influence: 1.1] [Reference Citation Analysis]
57 Steele Gray C, Khan AI, Kuluski K, McKillop I, Sharpe S, Bierman AS, Lyons RF, Cott C. Improving Patient Experience and Primary Care Quality for Patients With Complex Chronic Disease Using the Electronic Patient-Reported Outcomes Tool: Adopting Qualitative Methods Into a User-Centered Design Approach. JMIR Res Protoc 2016;5:e28. [PMID: 26892952 DOI: 10.2196/resprot.5204] [Cited by in Crossref: 42] [Cited by in F6Publishing: 43] [Article Influence: 6.0] [Reference Citation Analysis]
58 Shameer K, Badgeley MA, Miotto R, Glicksberg BS, Morgan JW, Dudley JT. Translational bioinformatics in the era of real-time biomedical, health care and wellness data streams. Brief Bioinform 2017;18:105-24. [PMID: 26876889 DOI: 10.1093/bib/bbv118] [Cited by in Crossref: 100] [Cited by in F6Publishing: 109] [Article Influence: 14.3] [Reference Citation Analysis]
59 Rao PJ, Phan K, Maharaj MM, Pelletier MH, Walsh WR, Mobbs RJ. Accelerometers for objective evaluation of physical activity following spine surgery. J Clin Neurosci. 2016;26:14-18. [PMID: 26765766 DOI: 10.1016/j.jocn.2015.05.064] [Cited by in Crossref: 19] [Cited by in F6Publishing: 16] [Article Influence: 2.7] [Reference Citation Analysis]
60 Appelboom G, Taylor BE, Bruce E, Bassile CC, Malakidis C, Yang A, Youngerman B, D'Amico R, Bruce S, Bruyère O, Reginster JY, Dumont EP, Connolly ES Jr. Mobile Phone-Connected Wearable Motion Sensors to Assess Postoperative Mobilization. JMIR Mhealth Uhealth 2015;3:e78. [PMID: 26220691 DOI: 10.2196/mhealth.3785] [Cited by in Crossref: 21] [Cited by in F6Publishing: 24] [Article Influence: 2.6] [Reference Citation Analysis]
61 Appelboom G, Taylor BE, Bruce E, Bassile CC, Malakidis C, Yang A, Youngerman B, D'Amico R, Bruce S, Bruyère O, Reginster JY, Dumont EP, Connolly ES Jr. Mobile Phone-Connected Wearable Motion Sensors to Assess Postoperative Mobilization. JMIR Mhealth Uhealth 2015;3:e78. [PMID: 26220691 DOI: 10.2196/mhealth.3785] [Cited by in F6Publishing: 1] [Reference Citation Analysis]
62 Nasi G, Cucciniello M, Guerrazzi C. The performance of mHealth in cancer supportive care: a research agenda. J Med Internet Res 2015;17:e9. [PMID: 25720295 DOI: 10.2196/jmir.3764] [Cited by in Crossref: 27] [Cited by in F6Publishing: 27] [Article Influence: 3.4] [Reference Citation Analysis]
63 Nasi G, Cucciniello M, Guerrazzi C. The role of mobile technologies in health care processes: the case of cancer supportive care. J Med Internet Res 2015;17:e26. [PMID: 25679446 DOI: 10.2196/jmir.3757] [Cited by in Crossref: 105] [Cited by in F6Publishing: 111] [Article Influence: 13.1] [Reference Citation Analysis]
64 Neyem A, Risso NA, Carrillo MJ, Farías A, Gajardo MJ. A Mobile Cloud Shared Workspace to Support Homecare for Respiratory Diseases in Chile. Lecture Notes in Computer Science 2015. [DOI: 10.1007/978-3-319-26508-7_3] [Reference Citation Analysis]
65 Slade Shantz JA, Veillette CJ. The application of wearable technology in surgery: ensuring the positive impact of the wearable revolution on surgical patients. Front Surg 2014;1:39. [PMID: 25593963 DOI: 10.3389/fsurg.2014.00039] [Cited by in Crossref: 17] [Cited by in F6Publishing: 20] [Article Influence: 1.9] [Reference Citation Analysis]
66 Ni Z, Wu B, Samples C, Shaw RJ. Mobile technology for health care in rural China. International Journal of Nursing Sciences 2014;1:323-4. [DOI: 10.1016/j.ijnss.2014.07.003] [Cited by in Crossref: 8] [Cited by in F6Publishing: 3] [Article Influence: 0.9] [Reference Citation Analysis]
67 Lyons EJ, Lewis ZH, Mayrsohn BG, Rowland JL. Behavior change techniques implemented in electronic lifestyle activity monitors: a systematic content analysis. J Med Internet Res 2014;16:e192. [PMID: 25131661 DOI: 10.2196/jmir.3469] [Cited by in Crossref: 379] [Cited by in F6Publishing: 389] [Article Influence: 42.1] [Reference Citation Analysis]