Energy Expenditure Prediction Algorithm Based on Correlation Analysis of Exercise Indexes

摘要

This study proposes an energy expenditure prediction algorithm (EEPA) to predict the exact energy expended during different types of exercises. The EEPA uses relational expressions obtained through the correlation analysis of exercise indexes on ten types of exercises. The relational expression and algorithm indicated changes in energy expenditures according to the heart rates and movement intensity in each exercise. The movement indexes were measured according to the order, time, and intensity of each exercise with the help of a Wireless patch type sensor (AIRBEAT System). The results of the test were verified through a comparison and an analysis by AIRBEAT system and a wireless gas analyzer. The estimated energy expenditure using EEPA had a difference of less than 1% as compared to the actual results.