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Cited by in F6Publishing
For: Huber D, Talary M, Dewarrat F, Caduff A. The compensation of perturbing temperature fluctuation in glucose monitoring technologies based on impedance spectroscopy. Med Biol Eng Comput 2007;45:863-76. [PMID: 17661101 DOI: 10.1007/s11517-007-0229-3] [Cited by in Crossref: 11] [Cited by in F6Publishing: 8] [Article Influence: 0.7] [Reference Citation Analysis]
Number Citing Articles
1 Caduff A, Talary MS, Mueller M, Dewarrat F, Klisic J, Donath M, Heinemann L, Stahel WA. Non-invasive glucose monitoring in patients with Type 1 diabetes: A Multisensor system combining sensors for dielectric and optical characterisation of skin. Biosensors and Bioelectronics 2009;24:2778-84. [DOI: 10.1016/j.bios.2009.02.001] [Cited by in Crossref: 73] [Cited by in F6Publishing: 38] [Article Influence: 5.6] [Reference Citation Analysis]
2 Yoon G. Dielectric properties of glucose in bulk aqueous solutions: Influence of electrode polarization and modeling. Biosens Bioelectron 2011;26:2347-53. [PMID: 21036027 DOI: 10.1016/j.bios.2010.10.009] [Cited by in Crossref: 39] [Cited by in F6Publishing: 15] [Article Influence: 3.3] [Reference Citation Analysis]
3 Huang J, Zhang Y, Wu J. Review of non-invasive continuous glucose monitoring based on impedance spectroscopy. Sensors and Actuators A: Physical 2020;311:112103. [DOI: 10.1016/j.sna.2020.112103] [Cited by in Crossref: 11] [Cited by in F6Publishing: 3] [Article Influence: 5.5] [Reference Citation Analysis]
4 Caduff A, Talary MS, Zakharov P. Cutaneous Blood Perfusion as a Perturbing Factor for Noninvasive Glucose Monitoring. Diabetes Technology & Therapeutics 2010;12:1-9. [DOI: 10.1089/dia.2009.0095] [Cited by in Crossref: 29] [Cited by in F6Publishing: 18] [Article Influence: 2.4] [Reference Citation Analysis]
5 Lee YS, Son M, Zhbanov A, Jung Y, Jung MH, Eom K, Nam SH, Park J, Yang S. Temperature Correction to Enhance Blood Glucose Monitoring Accuracy Using Electrical Impedance Spectroscopy. Sensors (Basel) 2020;20:E6231. [PMID: 33142877 DOI: 10.3390/s20216231] [Reference Citation Analysis]
6 Vaddiraju S, Burgess DJ, Tomazos I, Jain FC, Papadimitrakopoulos F. Technologies for continuous glucose monitoring: current problems and future promises. J Diabetes Sci Technol 2010;4:1540-62. [PMID: 21129353 DOI: 10.1177/193229681000400632] [Cited by in Crossref: 167] [Cited by in F6Publishing: 121] [Article Influence: 13.9] [Reference Citation Analysis]
7 Shokrekhodaei M, Quinones S. Review of Non-invasive Glucose Sensing Techniques: Optical, Electrical and Breath Acetone. Sensors (Basel) 2020;20:E1251. [PMID: 32106464 DOI: 10.3390/s20051251] [Cited by in Crossref: 37] [Cited by in F6Publishing: 19] [Article Influence: 18.5] [Reference Citation Analysis]
8 Dua P, Doyle FJ 3rd, Pistikopoulos EN. Multi-objective blood glucose control for type 1 diabetes. Med Biol Eng Comput 2009;47:343-52. [PMID: 19214613 DOI: 10.1007/s11517-009-0453-0] [Cited by in Crossref: 27] [Cited by in F6Publishing: 16] [Article Influence: 2.1] [Reference Citation Analysis]