Energy Expenditure Estimation of Tabata by Combining Acceleration and Heart Rate

Abstract

Tabata training plays an important role in health promotion. Effective monitoring of exercise energy expenditure is an important basis for exercisers to adjust their physical activities to achieve exercise goals. The input of acceleration combined with heart rate data and the application of machine learning algorithm are expected to improve the accuracy of EE prediction. This study is based on acceleration and heart rate to build linear regression and back propagate neural network prediction model of Tabata energy expenditure, and compare the accuracy of the two models. Participants (n = 45; Mean age: 21.04 ± 2.39 years) were randomly assigned to the modeling and validation data set in a 3:1 ratio. Each participant simultaneously wore four accelerometers (dominant hand, non-dominant hand, right hip, right ankle), a heart rate band and a metabolic measurement system to complete Tabata exercise test. After obtaining the test data, the correlation of the variables is calculated and passed to linear regression and back propagate neural network algorithms to predict energy expenditure during exercise and interval period. The validation group was entered into the model to obtain the predicted value and the prediction effect was tested. Bland-Alterman test showed two models fell within the consistency interval. The mean absolute percentage error of back propagate neural network was 12.6%, and linear regression was 14.7%. Using both acceleration and heart rate for estimation of Tabata energy expenditure is effective, and the prediction effect of back propagate neural network algorithm is better than linear regression, which is more suitable for Tabata energy expenditure monitoring.

The effect of acute high-intensity interval training and Tabata training on inhibitory control and cortical activation in young adults

“…HIIT requires the use of specialized laboratory equipment, typically performed on treadmills or cycle ergometers ( Marriott et al, 2021 ). Compared with typical HIIT, Tabata is relatively inexpensive and usually requires very little equipment ( Yan and Chen, 2022 ). For example, a modified version of Tabata, which is named the whole-body Tabata training protocol, does not necessitate the use of specialized equipment, thereby mitigating the need for access to facilities, which is more suitable for daily physical activity at home ( McRae et al, 2012 ; Islam et al, 2020 ).…”