Dry Electrode-Based Body Fat Estimation System with Anthropometric Data for Use in a Wearable Device
AbstractThe bioelectrical impedance analysis (BIA) method is widely used to predict percent body fat (PBF). However, it requires four to eight electrodes, and it takes a few minutes to accurately obtain the measurement results. In this study, we propose a faster and more accurate method that utilizes a small dry electrode-based wearable device, which predicts whole-body impedance using only upper-body impedance values. Such a small electrode-based device typically needs a long measurement time due to increased parasitic resistance, and its accuracy varies by measurement posture. To minimize these variations, we designed a sensing system that only utilizes contact with the wrist and index fingers. The measurement time was also reduced to five seconds by an effective parameter calibration network. Finally, we implemented a deep neural network-based algorithm to predict the PBF value by the measurement of the upper-body impedance and lower-body anthropometric data as auxiliary input features. The experiments were performed with 163 amateur athletes who exercised regularly. The performance of the proposed system was compared with those of two commercial systems that were designed to measure body composition using either a whole-body or upper-body impedance value. The results showed that the correlation coefficient (
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Shin, S.-C.; Lee, J.; Choe, S.; Yang, H.I.; Min, J.; Ahn, K.-Y.; Jeon, J.Y.; Kang, H.-G. Dry Electrode-Based Body Fat Estimation System with Anthropometric Data for Use in a Wearable Device. Sensors 2019, 19, 2177.
Shin S-C, Lee J, Choe S, Yang HI, Min J, Ahn K-Y, Jeon JY, Kang H-G. Dry Electrode-Based Body Fat Estimation System with Anthropometric Data for Use in a Wearable Device. Sensors. 2019; 19(9):2177.Chicago/Turabian Style
Shin, Seung-Chul; Lee, Jinkyu; Choe, Soyeon; Yang, Hyuk I.; Min, Jihee; Ahn, Ki-Yong; Jeon, Justin Y.; Kang, Hong-Goo. 2019. "Dry Electrode-Based Body Fat Estimation System with Anthropometric Data for Use in a Wearable Device." Sensors 19, no. 9: 2177.
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