title: Smartphone-Based Bioelectrical Impedance Analysis Devices for Daily Obesity Management.
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.
authors.affiliation: DMC R&D Center, Samsung Electronics, Suwon 16677, Gyeonggi, Korea. ay12.choi@samsung.com.
authors.forename: Ahyoung
authors.initials: A
authors.lastname: Choi
authors.affiliation: DMC R&D Center, Samsung Electronics, Suwon 16677, Gyeonggi, Korea. vine.kim@samsung.com.
authors.forename: Justin Younghyun
authors.initials: JY
authors.lastname: Kim
authors.affiliation: DMC R&D Center, Samsung Electronics, Suwon 16677, Gyeonggi, Korea. sw0326.jo@samsung.com.
authors.forename: Seongwook
authors.initials: S
authors.lastname: Jo
authors.affiliation: Center for Health Promotion, Samsung Medical Center, Seoul 06351, Korea. jaehwan.jee@samsung.com.
authors.forename: Jae Hwan
authors.initials: JH
authors.lastname: Jee
authors.affiliation: Pennington Biomedical Research Center, Baton Rouge, LA 70808, USA. steven.heymsfield@pbrc.edu.
authors.forename: Steven B
authors.initials: SB
authors.lastname: Heymsfield
authors.affiliation: Samsung Research America, Richardson, TX 75082, USA. y.bhagat@samsung.com.
authors.forename: Yusuf A
authors.initials: YA
authors.lastname: Bhagat
authors.affiliation: Samsung Research America, Richardson, TX 75082, USA. insoo3.kim@samsung.com.
authors.forename: Insoo
authors.initials: I
authors.lastname: Kim
authors.affiliation: DMC R&D Center, Samsung Electronics, Suwon 16677, Gyeonggi, Korea. jgirlcho@samsung.com.
authors.forename: Jaegeol
authors.initials: J
authors.lastname: Cho
mesh_terms: D000328:Adult; D000886:Anthropometry / Q000295:instrumentation* / Q000379:methods; D001823:Body Composition / Q000502:physiology*; D017097:Electric Impedance / Q000627:therapeutic use*; D004867:Equipment Design; D005260:Female; D006801:Humans; D008297:Male; D008875:Middle Aged; D009765:Obesity / Q000628:therapy*; D012044:Regression Analysis; D000068997:Smartphone; D012984:Software; D017216:Telemedicine / Q000295:instrumentation*
keywords: body composition analysis; mobile health; obesity management