A portable band-shaped bioimpedance system to monitor the body fat and fasting glucose level

1Wise J. Obesity rates rise substantially worldwide. BMJ. 2014 May 29;348. https://doi.org/10.1136/bmj.g3582 Wise J Obesity rates rise substantially worldwide BMJ 2014 May 29348 https://doi.org/10.1136/bmj.g358210.1136/bmj.g358224874848Search in Google Scholar

2Wright SM, Aronne LJ. Causes of obesity. Abdominal Radiology. 2012 Oct;37(5):730-2. https://doi.org/10.1007/s00261-012-9862-x Wright SM Aronne LJ Causes of obesity Abdominal Radiology 2012 Oct375 730 2 https://doi.org/10.1007/s00261-012-9862-x10.1007/s00261-012-9862-x22426851Search in Google Scholar

3Keith SW, Redden DT, Katzmarzyk PT, Boggiano MM, Hanlon EC, Benca RM, Ruden D, Pietrobelli A, Barger JL, Fontaine K, Wang C. Putative contributors to the secular increase in obesity: exploring the roads less traveled. International Journal of Obesity. 2006 Nov;30(11):1585-94. https://doi.org/10.1038/sj.ijo.0803326 Keith SW Redden DT Katzmarzyk PT Boggiano MM Hanlon EC Benca RM Ruden D Pietrobelli A Barger JL Fontaine K Wang C Putative contributors to the secular increase in obesity: exploring the roads less traveled International Journal of Obesity 2006 Nov3011 1585 94 https://doi.org/10.1038/sj.ijo.080332610.1038/sj.ijo.080332616801930Search in Google Scholar

4Gangwisch JE, Malaspina D, Boden-Albala B, Heymsfield SB. Inadequate sleep as a risk factor for obesity: analyses of the NHANES I. Sleep. 2005 Oct 1;28(10):1289-96. https://doi.org/10.1093/sleep/28.10.1289 Gangwisch JE Malaspina D Boden-Albala B Heymsfield SB Inadequate sleep as a risk factor for obesity: analyses of the NHANES I Sleep 2005 Oct 12810 1289 96 https://doi.org/10.1093/sleep/28.10.128910.1093/sleep/28.10.128916295214Search in Google Scholar

5Cercato C, Fonseca FA. Cardiovascular risk and obesity. Diabetol Metab Syndr, 11, 74-88. https://doi.org/10.1186/s13098-019-0468-0 Cercato C Fonseca FA Cardiovascular risk and obesity Diabetol Metab Syndr 11 74 88 https://doi.org/10.1186/s13098-019-0468-010.1186/s13098-019-0468-0671275031467596Search in Google Scholar

6Ciudin A, Hernández C, Simó R. Non-invasive methods of glucose measurement: current status and future perspectives. Current Diabetes Reviews. 2012 Jan 1;8(1):48-54. https://doi.org/10.2174/157339912798829197 Ciudin A Hernández C Simó R Non-invasive methods of glucose measurement: current status and future perspectives Current Diabetes Reviews 2012 Jan 181 48 54 https://doi.org/10.2174/15733991279882919710.2174/15733991279882919722414058Search in Google Scholar

7Deurenberg P, Yap M. The assessment of obesity: methods for measuring body fat and global prevalence of obesity. Best Practice & Research Clinical Endocrinology & Metabolism. 1999 Apr 1;13(1):1-1. https://doi.org/10.1053/beem.1999.0003 Deurenberg P Yap M The assessment of obesity: methods for measuring body fat and global prevalence of obesity Best Practice & Research Clinical Endocrinology & Metabolism 1999 Apr 1131 1 1 https://doi.org/10.1053/beem.1999.000310.1053/beem.1999.000310932673Search in Google Scholar

8Klonoff DC, Perz JF. Assisted monitoring of blood glucose: special safety needs for a new paradigm in testing glucose. Journal of Diabetes Science and Technology. 2010 Sep;4(5):1027-31. https://doi.org/10.1177/193229681000400501 Klonoff DC Perz JF Assisted monitoring of blood glucose: special safety needs for a new paradigm in testing glucose Journal of Diabetes Science and Technology 2010 Sep45 1027 31 https://doi.org/10.1177/19322968100040050110.1177/193229681000400501295680420920422Search in Google Scholar

9Koch S. Home telehealth-current state and future trends. International Journal of Medical Informatics. 2006 Aug 1;75(8):565-76. https://doi.org/10.1016/j.ijmedinf.2005.09.002 Koch S Home telehealth-current state and future trends International Journal of Medical Informatics 2006 Aug 1758 565 76 https://doi.org/10.1016/j.ijmedinf.2005.09.00210.1016/j.ijmedinf.2005.09.00216298545Search in Google Scholar

10Li J, Igbe T, Liu Y, Nie Z, Qin W, Wang L, Hao Y. An approach for noninvasive blood glucose monitoring based on bioimpedance difference considering blood volume pulsation. IEEE Access. 2018 Aug 22;6:51119-29. https://doi.org/10.1109/ACCESS.2018.2866601 Li J Igbe T Liu Y Nie Z Qin W Wang L Hao Y An approach for noninvasive blood glucose monitoring based on bioimpedance difference considering blood volume pulsation IEEE Access 2018 Aug 22651119 29 https://doi.org/10.1109/ACCESS.2018.286660110.1109/ACCESS.2018.2866601Search in Google Scholar

11Sulla TR, Talavera SJ, Supo CE, Montoya AA. Non-invasive glucose monitor based on electric bioimpedance using AFE4300. In2019 IEEE XXVI International Conference on Electronics, Electrical Engineering and Computing (INTERCON) 2019 Aug 12 (pp. 1-3). IEEE. https://doi.org/10.1109/INTERCON.2019.8853561 Sulla TR Talavera SJ Supo CE Montoya AA Non-invasive glucose monitor based on electric bioimpedance using AFE4300 In2019 IEEE XXVI International Conference on Electronics, Electrical Engineering and Computing (INTERCON) 2019 Aug 12 (pp 1 3 IEEE https://doi.org/10.1109/INTERCON.2019.885356110.1109/INTERCON.2019.8853561Search in Google Scholar

12Takamatsu R, Higuchi K, Muramatsu D. Measurement Frequency Evaluation for Bioimpedance-Based Blood-Glucose Estimation. In2021 IEEE 3rd Global Conference on Life Sciences and Technologies (LifeTech) 2021 Mar 9 (pp. 309310). IEEE. https://doi.org/10.1109/LifeTech52111.2021.9391845 Takamatsu R Higuchi K Muramatsu D Measurement Frequency Evaluation for Bioimpedance-Based Blood-Glucose Estimation In2021 IEEE 3rd Global Conference on Life Sciences and Technologies (LifeTech) 2021 Mar 9 (pp. 309310). IEEE https://doi.org/10.1109/LifeTech52111.2021.939184510.1109/LifeTech52111.2021.9391845Search in Google Scholar

13Lloret Linares C, Ciangura C, Bouillot JL, Coupaye M, Declèves X, Poitou C, Basdevant A, Oppert JM. Validity of leg-to-leg bioelectrical impedance analysis to estimate body fat in obesity. Obesity Surgery. 2011 Jul;21(7):917-23. https://doi.org/10.1007/s11695-010-0296-7 Lloret Linares C Ciangura C Bouillot JL Coupaye M Declèves X Poitou C Basdevant A Oppert JM Validity of leg-to-leg bioelectrical impedance analysis to estimate body fat in obesity Obesity Surgery 2011 Jul217 917 23 https://doi.org/10.1007/s11695-010-0296-710.1007/s11695-010-0296-720936394Search in Google Scholar

14Shaikh MG, Crabtree NJ, Shaw NJ, Kirk JM. Body fat estimation using bioelectrical impedance. Hormone Research in Paediatrics. 2007;68(1):8-10. https://doi.org/10.1159/000098481 Shaikh MG Crabtree NJ Shaw NJ Kirk JM Body fat estimation using bioelectrical impedance Hormone Research in Paediatrics 2007681 8 10 https://doi.org/10.1159/00009848110.1159/00009848117213729Search in Google Scholar

15Sun, G., French, C.R., Martin, G.R., Younghusband, B., Green, R.C., Xie, Y.G., Mathews, M., Barron, J.R., Fitzpatrick, D.G., Gulliver, W. and Zhang, H., 2005. Comparison of multifrequency bioelectrical impedance analysis with dual-energy X-ray absorptiometry for assessment of percentage body fat in a large, healthy population. The American Journal of Clinical Nutrition, 81(1), pp.74-78. https://doi.org/10.1093/ajcn/81.1.74 Sun G. French C.R. Martin G.R. Younghusband B. Green R.C. Xie Y.G. Mathews M. Barron J.R. Fitzpatrick D.G. Gulliver W. and Zhang H. 2005 Comparison of multifrequency bioelectrical impedance analysis with dual-energy X-ray absorptiometry for assessment of percentage body fat in a large, healthy population The American Journal of Clinical Nutrition 811 pp 74 78 https://doi.org/10.1093/ajcn/81.1.7410.1093/ajcn/81.1.7415640463Search in Google Scholar

16Chumlea WC, Guo SS. Bioelectrical impedance and body composition: present status and future directions. Nutrition Reviews. 1994 Apr 1;52(4):123-31. https://doi.org/10.1111/j.1753-4887.1994.tb01404.x Chumlea WC Guo SS Bioelectrical impedance and body composition: present status and future directions Nutrition Reviews 1994 Apr 1524 123 31 https://doi.org/10.1111/j.1753-4887.1994.tb01404.x10.1111/j.1753-4887.1994.tb01404.x8028817Search in Google Scholar

17Kissebah AH, Vydelingum N, Murray R, Evans DJ, Kalkhoff RK, Adams PW. Relation of body fat distribution to metabolic complications of obesity. The Journal of Clinical Endocrinology & Metabolism. 1982 Feb 1;54(2):254-60. https://doi.org/10.1210/jcem-54-2-254 Kissebah AH Vydelingum N Murray R Evans DJ Kalkhoff RK Adams PW Relation of body fat distribution to metabolic complications of obesity The Journal of Clinical Endocrinology & Metabolism 1982 Feb 1542 254 60 https://doi.org/10.1210/jcem-54-2-25410.1210/jcem-54-2-2547033275Search in Google Scholar

18Cassano PA, Rosner B, Vokonas PS, Weiss ST. Obesity and body fat distribution in relation to the incidence of non-lnsulin-dependent diabetes mellitus: A prospective cohort study of men in the normative aging study. American Journal of Epidemiology. 1992 Dec 15;136(12):1474-86. https://doi.org/10.1093/oxfordjournals.aje.a116468 Cassano PA Rosner B Vokonas PS Weiss ST Obesity and body fat distribution in relation to the incidence of non-lnsulin-dependent diabetes mellitus: A prospective cohort study of men in the normative aging study American Journal of Epidemiology 1992 Dec 1513612 1474 86 https://doi.org/10.1093/oxfordjournals.aje.a11646810.1093/oxfordjournals.aje.a1164681288277Search in Google Scholar

19Goodpaster, B.H., Leland Thaete, F., Simoneau, J.A. and Kelley, D.E., 1997. Subcutaneous abdominal fat and thigh muscle composition predict insulin sensitivity independently of visceral fat. Diabetes, 46(10), pp.1579-1585. https://doi.org/10.2337/diacare.46.10.1579 Goodpaster B.H. Leland Thaete F. Simoneau J.A. and Kelley D.E. 1997 Subcutaneous abdominal fat and thigh muscle composition predict insulin sensitivity independently of visceral fat Diabetes 4610 pp 1579 1585 https://doi.org/10.2337/diacare.46.10.157910.2337/diacare.46.10.15799313753Search in Google Scholar

20Bertemes-Filho P, Felipe A, Vincence VC. High accurate Howland current source: Output constraints analysis. Circuits and Systems. 2013 Nov 7;4(07):451. https://doi.org/10.4236/cs.2013.47059 Bertemes-Filho P Felipe A Vincence VC High accurate Howland current source: Output constraints analysis Circuits and Systems 2013 Nov 7407 451 https://doi.org/10.4236/cs.2013.4705910.4236/cs.2013.47059Search in Google Scholar

21Yang L, Dai M, Xu C, Zhang G, Li W, Fu F, Shi X, Dong X. The frequency spectral properties of electrode-skin contact impedance on human head and its frequency-dependent effects on frequency-difference EIT in stroke detection from 10Hz to 1MHz. PloS one. 2017 Jan 20;12(1):e0170563. https://doi.org/10.1371/journal.pone.0170563 Yang L Dai M Xu C Zhang G Li W Fu F Shi X Dong X The frequency spectral properties of electrode-skin contact impedance on human head and its frequency-dependent effects on frequency-difference EIT in stroke detection from 10Hz to 1MHz PloS one 2017 Jan 20121 e0170563 https://doi.org/10.1371/journal.pone.017056310.1371/journal.pone.0170563524918128107524Search in Google Scholar

22Zepeda-Carapia I, Marquez-Espinoza A, Alvarado-Serrano C. Measurement of skin-electrode impedance for a 12-lead electrocardiogram. In2005 2nd International Conference on Electrical and Electronics Engineering 2005 Sep 9 (pp. 193195). IEEE. Zepeda-Carapia I Marquez-Espinoza A Alvarado-Serrano C Measurement of skin-electrode impedance for a 12-lead electrocardiogram In2005 2nd International Conference on Electrical and Electronics Engineering 2005 Sep 9 (pp. 193195). IEEE10.1109/ICEEE.2005.1529606Search in Google Scholar

23Gabriel C, Gabriel S, Corthout YE. The dielectric properties of biological tissues: I. Literature survey. Physics in Medicine & Biology. 1996 Nov 1;41(11):2231. https://doi.org/10.1088/0031-9155/41/11/001 Gabriel C Gabriel S Corthout YE The dielectric properties of biological tissues: I Literature survey. Physics in Medicine & Biology 1996 Nov 14111 2231 https://doi.org/10.1088/0031-9155/41/11/00110.1088/0031-9155/41/11/0018938024Search in Google Scholar

24Katch FI, Behnke AR. Arm x-ray assessment of percent body fat in men and women. Medicine and Science in Sports and Exercise. 1984 Jun 1;16(3):316-321. https://doi.org/10.1249/00005768-198406000-00021 Katch FI Behnke AR Arm x-ray assessment of percent body fat in men and women Medicine and Science in Sports and Exercise 1984 Jun 1163 316 321 https://doi.org/10.1249/00005768-198406000-0002110.1249/00005768-198406000-000216748932Search in Google Scholar

25Biggs J, Cha K, Horch K. Electrical resistivity of the upper arm and leg yields good estimates of whole body fat. Physiological Measurement. 2001 May 1;22(2):365. https://doi.org/10.1088/0967-3334/22/2/308 Biggs J Cha K Horch K Electrical resistivity of the upper arm and leg yields good estimates of whole body fat Physiological Measurement 2001 May 1222 365 https://doi.org/10.1088/0967-3334/22/2/30810.1088/0967-3334/22/2/30811411246Search in Google Scholar

26Pigeon E, Couillard E, Tremblay A, Bouchard C, Weisnagel SJ, Joanisse DR. Mid-thigh subcutaneous adipose tissue and glucose tolerance in the Quebec family study. Obesity Facts. 2008;1(6):310-8. https://doi.org/10.1159/000177047 Pigeon E Couillard E Tremblay A Bouchard C Weisnagel SJ Joanisse DR Mid-thigh subcutaneous adipose tissue and glucose tolerance in the Quebec family study Obesity Facts 200816 310 8 https://doi.org/10.1159/00017704710.1159/000177047645213420054194Search in Google Scholar

27Amati F, Pennant M, Azuma K, Dubé JJ, Toledo FG, Rossi AP, Kelley DE, Goodpaster BH. Lower thigh subcutaneous and higher visceral abdominal adipose tissue content both contribute to insulin resistance. Obesity. 2012 May;20(5):1115-7. https://doi.org/10.1038/oby.2011.401 Amati F Pennant M Azuma K Dubé JJ Toledo FG Rossi AP Kelley DE Goodpaster BH Lower thigh subcutaneous and higher visceral abdominal adipose tissue content both contribute to insulin resistance Obesity 2012 May205 1115 7 https://doi.org/10.1038/oby.2011.40110.1038/oby.2011.40122262160Search in Google Scholar

28Snijder MB, Dekker JM, Visser M, Bouter LM, Stehouwer CD, Yudkin JS, Heine RJ, Nijpels G, Seidell JC. Trunk fat and leg fat have independent and opposite associations with fasting and postload glucose levels: the Hoorn study. Diabetes Care. 2004 Feb 1;27(2):372-7. https://doi.org/10.2337/diacare.27.2.372 Snijder MB Dekker JM Visser M Bouter LM Stehouwer CD Yudkin JS Heine RJ Nijpels G Seidell JC Trunk fat and leg fat have independent and opposite associations with fasting and postload glucose levels: the Hoorn study Diabetes Care 2004 Feb 1272 372 7 https://doi.org/10.2337/diacare.27.2.37210.2337/diacare.27.2.37214747216Search in Google Scholar

29Snijder MB, Visser M, Dekker JM, Goodpaster BH, Harris TB, Kritchevsky SB, De Rekeneire N, Kanaya AM, Newman AB, Tylavsky FA, Seidell JC. Low subcutaneous thigh fat is a risk factor for unfavourable glucose and lipid levels, independently of high abdominal fat. The Health ABC Study. Diabetologia. 2005 Feb;48(2):301-8. https://doi.org/10.1007/s00125-004-1637-7 Snijder MB Visser M Dekker JM Goodpaster BH Harris TB Kritchevsky SB De Rekeneire N Kanaya AM Newman AB Tylavsky FA Seidell JC Low subcutaneous thigh fat is a risk factor for unfavourable glucose and lipid levels, independently of high abdominal fat The Health ABC Study. Diabetologia 2005 Feb482 301 8 https://doi.org/10.1007/s00125-004-1637-710.1007/s00125-004-1637-715660262Search in Google Scholar

30Amati F, Pennant M, Azuma K, Dubé JJ, Toledo FG, Rossi AP, Kelley DE, Goodpaster BH. Lower thigh subcutaneous and higher visceral abdominal adipose tissue content both contribute to insulin resistance. Obesity. 2012 May;20(5):1115-7. https://doi.org/10.1038/oby.2011.401 Amati F Pennant M Azuma K Dubé JJ Toledo FG Rossi AP Kelley DE Goodpaster BH Lower thigh subcutaneous and higher visceral abdominal adipose tissue content both contribute to insulin resistance Obesity 2012 May205 1115 7 https://doi.org/10.1038/oby.2011.40110.1038/oby.2011.401Search in Google Scholar

31Goodpaster BH, Thaete FL, Kelley DE. Thigh adipose tissue distribution is associated with insulin resistance in obesity and in type 2 diabetes mellitus. The American Journal of Clinical Nutrition. 2000 Apr 1;71(4):885-92. https://doi.org/10.1093/ajcn/71.4.885 Goodpaster BH Thaete FL Kelley DE Thigh adipose tissue distribution is associated with insulin resistance in obesity and in type 2 diabetes mellitus The American Journal of Clinical Nutrition 2000 Apr 1714 885 92 https://doi.org/10.1093/ajcn/71.4.88510.1093/ajcn/71.4.88510731493Search in Google Scholar

32Yim JE, Heshka S, Albu J, Heymsfield S, Kuznia P, Harris T, Gallagher D. Intermuscular adipose tissue rivals visceral adipose tissue in independent associations with cardiovascular risk. International Journal of Obesity. 2007 Sep;31(9):1400-5. https://doi.org/10.1038/sj.ijo.0803621 Yim JE Heshka S Albu J Heymsfield S Kuznia P Harris T Gallagher D Intermuscular adipose tissue rivals visceral adipose tissue in independent associations with cardiovascular risk International Journal of Obesity 2007 Sep319 1400 5 https://doi.org/10.1038/sj.ijo.080362110.1038/sj.ijo.0803621275236717452994Search in Google Scholar

33Wang J, Thornton JC, Russell M, Burastero S, Heymsfield S, Pierson Jr RN. Asians have lower body mass index (BMI) but higher percent body fat than do whites: comparisons of anthropometric measurements. The American Journal of Clinical Nutrition. 1994 Jul 1;60(1):23-8. https://doi.org/10.1093/ajcn/60.1.23 Wang J Thornton JC Russell M Burastero S Heymsfield S Pierson Jr RN Asians have lower body mass index (BMI) but higher percent body fat than do whites: comparisons of anthropometric measurements The American Journal of Clinical Nutrition 1994 Jul 1601 23 8 https://doi.org/10.1093/ajcn/60.1.2310.1093/ajcn/60.1.238017333Search in Google Scholar

34Caduff A, Ben Ishai P, Feldman Y. Continuous noninvasive glucose monitoring; water as a relevant marker of glucose uptake in vivo. Biophysical Reviews. 2019 Dec;11(6):1017-35. https://doi.org/10.1007/s12551-019-00601-7 Caduff A Ben Ishai P Feldman Y Continuous noninvasive glucose monitoring; water as a relevant marker of glucose uptake in vivo Biophysical Reviews 2019 Dec116 1017 35 https://doi.org/10.1007/s12551-019-00601-710.1007/s12551-019-00601-7687494331741172Search in Google Scholar