BMI and Nutritional Level Classification using Bioelectrical Impedance Analysis

Anand Agarwal; Rakesh Narvey

doi:10.37591/jomsd.v6i3.3675

Abstract

AbstractThis paper is based on the study of improve the cutoff point and nutritional classification and status of overweight/obesity based on the EMI. Study was conduct on more than 1000 individual on both genders age between 18 and 60 years. The subjects underwent measurement of weight and height and bioelectrical impedance analysis. Instrumentation for the measurement of bioimpedance is simple, cost effective for mass production and is easy to use. For electrical impedance measurement, two electrode systems have been used even though many other researchers have used four electrode systems. AC voltage source of low current and of low frequency >10 Hz up to medium frequency <100 kHz are to be used. Velcro has been used to tie the electrodes to skin. These electrodes are described in paper body. Simple linear regression was used for statistical analysis, with the degree of essentialness set at p<0.05. The sample comprised of 29.7% men and 70.3% women aged on averaged 35.7±17.6 years; mean weight was 67.6 ± 16.0 kg, mean height was 164.9±9.5 cm, and mean BMI was 24.9±5.5 kg/m2. The present examination supports other literature studies which converge in reducing the BMI cutoff points for the classification of obesity. Thus, we emphasize the need to conduct similar studies for the purpose of defining these new in populations of different ethnicities.Keywords: BMI, bio-electrical impedance, Velcro, linear regression, electrodeCite this ArticleAnand Agarwal, Rakesh Narvey. BMI and Nutritional level classification using Bio-electrical impedance analysis. Journal of Microelectronics and Solid-State Devices. 2019; 6(3): 18–27p.