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Sensors 2015, 15(9), 22151-22166; doi:10.3390/s150922151

Smartphone-Based Bioelectrical Impedance Analysis Devices for Daily Obesity Management

1
DMC R&D Center, Samsung Electronics, Suwon 16677, Gyeonggi, Korea
2
Center for Health Promotion, Samsung Medical Center, Seoul 06351, Korea
3
Pennington Biomedical Research Center, Baton Rouge, LA 70808, USA
4
Samsung Research America, Richardson, TX 75082, USA
These authors contributed equally to this work.
*
Author to whom correspondence should be addressed.
Academic Editor: Vittorio M. N. Passaro
Received: 13 June 2015 / Revised: 26 August 2015 / Accepted: 27 August 2015 / Published: 2 September 2015
(This article belongs to the Special Issue Smartphone-Based Sensors for Non-Invasive Physiological Monitoring)
View Full-Text   |   Download PDF [1547 KB, uploaded 8 September 2015]   |  

Abstract

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. View Full-Text
Keywords: body composition analysis; mobile health; obesity management body composition analysis; mobile health; obesity management
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This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (CC BY 4.0).

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MDPI and ACS Style

Choi, A.; Kim, J.Y.; Jo, S.; Jee, J.H.; Heymsfield, S.B.; Bhagat, Y.A.; Kim, I.; Cho, J. Smartphone-Based Bioelectrical Impedance Analysis Devices for Daily Obesity Management. Sensors 2015, 15, 22151-22166.

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