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Smartphone-Based Bioelectrical Impedance Analysis Devices for Daily Obesity Management
Current bioelectric impedance analysis (BIA) systems are often large, cumbersome devices which require strict electrode placement on the user, thus inhibiting mobile capabilities. In this work, we developed a handheld BIA device that measures impedance from multiple frequencies (5 kHz~200 kHz) with...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2015
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4610453/ https://www.ncbi.nlm.nih.gov/pubmed/26364636 http://dx.doi.org/10.3390/s150922151 |
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author | Choi, Ahyoung Kim, Justin Younghyun Jo, Seongwook Jee, Jae Hwan Heymsfield, Steven B. Bhagat, Yusuf A. Kim, Insoo Cho, Jaegeol |
author_facet | Choi, Ahyoung Kim, Justin Younghyun Jo, Seongwook Jee, Jae Hwan Heymsfield, Steven B. Bhagat, Yusuf A. Kim, Insoo Cho, Jaegeol |
author_sort | Choi, Ahyoung |
collection | PubMed |
description | Current bioelectric impedance analysis (BIA) systems are often large, cumbersome devices which require strict electrode placement on the user, thus inhibiting mobile capabilities. In this work, we developed a handheld BIA device that measures impedance from multiple frequencies (5 kHz~200 kHz) with four contact electrodes and evaluated the BIA device against standard body composition analysis systems: a dual-energy X-ray absorptiometry (DXA) system (GE Lunar Prodigy, GE Healthcare, Buckinghamshire, UK) and a whole-body BIA system (InBody S10, InBody, Co. Ltd, Seoul, Korea). In the study, 568 healthy participants, varying widely in body mass index, age, and gender, were recruited at two research centers: the Samsung Medical Center (SMC) in South Korea and the Pennington Biomedical Research Center (PBRC) in the United States. From the measured impedance data, we analyzed individual body fat and skeletal muscle mass by applying linear regression analysis against target reference data. Results indicated strong correlations of impedance measurements between the prototype pathways and corresponding InBody S10 electrical pathways (R = 0.93, p < 0.0001). Additionally, body fat estimates from DXA did not yield significant differences (p > 0.728 (paired t-test), DXA mean body fat 29.45 ± 10.77 kg, estimated body fat 29.52 ± 12.53 kg). Thus, this portable BIA system shows a promising ability to estimate an individual’s body composition that is comparable to large stationary BIA systems. |
format | Online Article Text |
id | pubmed-4610453 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2015 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-46104532015-10-26 Smartphone-Based Bioelectrical Impedance Analysis Devices for Daily Obesity Management Choi, Ahyoung Kim, Justin Younghyun Jo, Seongwook Jee, Jae Hwan Heymsfield, Steven B. Bhagat, Yusuf A. Kim, Insoo Cho, Jaegeol Sensors (Basel) Article Current bioelectric impedance analysis (BIA) systems are often large, cumbersome devices which require strict electrode placement on the user, thus inhibiting mobile capabilities. In this work, we developed a handheld BIA device that measures impedance from multiple frequencies (5 kHz~200 kHz) with four contact electrodes and evaluated the BIA device against standard body composition analysis systems: a dual-energy X-ray absorptiometry (DXA) system (GE Lunar Prodigy, GE Healthcare, Buckinghamshire, UK) and a whole-body BIA system (InBody S10, InBody, Co. Ltd, Seoul, Korea). In the study, 568 healthy participants, varying widely in body mass index, age, and gender, were recruited at two research centers: the Samsung Medical Center (SMC) in South Korea and the Pennington Biomedical Research Center (PBRC) in the United States. From the measured impedance data, we analyzed individual body fat and skeletal muscle mass by applying linear regression analysis against target reference data. Results indicated strong correlations of impedance measurements between the prototype pathways and corresponding InBody S10 electrical pathways (R = 0.93, p < 0.0001). Additionally, body fat estimates from DXA did not yield significant differences (p > 0.728 (paired t-test), DXA mean body fat 29.45 ± 10.77 kg, estimated body fat 29.52 ± 12.53 kg). Thus, this portable BIA system shows a promising ability to estimate an individual’s body composition that is comparable to large stationary BIA systems. MDPI 2015-09-02 /pmc/articles/PMC4610453/ /pubmed/26364636 http://dx.doi.org/10.3390/s150922151 Text en © 2015 by the authors; licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution license (http://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Choi, Ahyoung Kim, Justin Younghyun Jo, Seongwook Jee, Jae Hwan Heymsfield, Steven B. Bhagat, Yusuf A. Kim, Insoo Cho, Jaegeol Smartphone-Based Bioelectrical Impedance Analysis Devices for Daily Obesity Management |
title | Smartphone-Based Bioelectrical Impedance Analysis Devices for Daily Obesity Management |
title_full | Smartphone-Based Bioelectrical Impedance Analysis Devices for Daily Obesity Management |
title_fullStr | Smartphone-Based Bioelectrical Impedance Analysis Devices for Daily Obesity Management |
title_full_unstemmed | Smartphone-Based Bioelectrical Impedance Analysis Devices for Daily Obesity Management |
title_short | Smartphone-Based Bioelectrical Impedance Analysis Devices for Daily Obesity Management |
title_sort | smartphone-based bioelectrical impedance analysis devices for daily obesity management |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4610453/ https://www.ncbi.nlm.nih.gov/pubmed/26364636 http://dx.doi.org/10.3390/s150922151 |
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