Ring Based Wearable Bioelectrical Impedance Analyzer for Body Fat Estimation

Muhammad Usman, Shani Thapa, Adarsh K. Gupta, Wei Xue

Research output: Chapter in Book/Report/Conference proceedingConference contribution

5 Scopus citations

Abstract

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.

Original languageEnglish (US)
Title of host publication2018 IEEE International Symposium on Signal Processing and Information Technology, ISSPIT 2018
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages291-296
Number of pages6
ISBN (Electronic)9781538675687
DOIs
StatePublished - Feb 14 2019
Event2018 IEEE International Symposium on Signal Processing and Information Technology, ISSPIT 2018 - Louisville, United States
Duration: Dec 6 2018Dec 8 2018

Publication series

Name2018 IEEE International Symposium on Signal Processing and Information Technology, ISSPIT 2018

Conference

Conference2018 IEEE International Symposium on Signal Processing and Information Technology, ISSPIT 2018
Country/TerritoryUnited States
CityLouisville
Period12/6/1812/8/18

All Science Journal Classification (ASJC) codes

  • Signal Processing
  • Computer Science Applications
  • Computer Networks and Communications

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