TY - GEN
T1 - Ring Based Wearable Bioelectrical Impedance Analyzer for Body Fat Estimation
AU - Usman, Muhammad
AU - Thapa, Shani
AU - Gupta, Adarsh K.
AU - Xue, Wei
N1 - Publisher Copyright:
© 2018 IEEE.
PY - 2019/2/14
Y1 - 2019/2/14
N2 - In today's world obesity is one of the most serious public health challenges as it is linked to an increased risk of heart disease, high blood pressure, diabetes, and other chronic conditions. The key point to study obesity epidemic is to measure the amount of fat in the human body. Bioelectrical impedance analysis (BIA) is a noninvasive method widely used for estimating fat mass. In a typical BIA, a small amount of alternating electrical current is applied to the human body and the body impedance is measured. Commercial systems used for BIA nowadays are typically large, bulky, and can be very expensive. In this paper, we present a novel wearable bioelectrical impedance analyzer for body fat estimation. The designed analyzer consists of a ring based wearable sensing system and a microcontroller module which also provides wireless connectivity via Bluetooth. An android based application was also developed to provide a smartphone interface for the users to track and manage their health data. The fat mass estimation using the designed analyzer was compared with the commercially available OMRON body fat monitor for 40 healthy human subjects. A linear regression demonstrates a strong correlation between the designed device and the reference monitor with a correlation coefficient r = 0.9. Furthermore, 38 out of 40 subjects lie within 95% limit of the agreement which shows that the designed body fat analyzer has comparable performance with the reference monitor.
AB - In today's world obesity is one of the most serious public health challenges as it is linked to an increased risk of heart disease, high blood pressure, diabetes, and other chronic conditions. The key point to study obesity epidemic is to measure the amount of fat in the human body. Bioelectrical impedance analysis (BIA) is a noninvasive method widely used for estimating fat mass. In a typical BIA, a small amount of alternating electrical current is applied to the human body and the body impedance is measured. Commercial systems used for BIA nowadays are typically large, bulky, and can be very expensive. In this paper, we present a novel wearable bioelectrical impedance analyzer for body fat estimation. The designed analyzer consists of a ring based wearable sensing system and a microcontroller module which also provides wireless connectivity via Bluetooth. An android based application was also developed to provide a smartphone interface for the users to track and manage their health data. The fat mass estimation using the designed analyzer was compared with the commercially available OMRON body fat monitor for 40 healthy human subjects. A linear regression demonstrates a strong correlation between the designed device and the reference monitor with a correlation coefficient r = 0.9. Furthermore, 38 out of 40 subjects lie within 95% limit of the agreement which shows that the designed body fat analyzer has comparable performance with the reference monitor.
UR - http://www.scopus.com/inward/record.url?scp=85063524315&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85063524315&partnerID=8YFLogxK
U2 - 10.1109/ISSPIT.2018.8642675
DO - 10.1109/ISSPIT.2018.8642675
M3 - Conference contribution
AN - SCOPUS:85063524315
T3 - 2018 IEEE International Symposium on Signal Processing and Information Technology, ISSPIT 2018
SP - 291
EP - 296
BT - 2018 IEEE International Symposium on Signal Processing and Information Technology, ISSPIT 2018
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2018 IEEE International Symposium on Signal Processing and Information Technology, ISSPIT 2018
Y2 - 6 December 2018 through 8 December 2018
ER -