Analysis on MET Value Due to the Relation Between Echocardiogram (ECG) Signal and Human Physical Activities

Abstract

Electrocardiogram (ECG) signal provides a lot of information about the cardiac functions through its patterns displayed. Besides to use ECG for cardiovascular diseases diagnostic function, the use of ECG has extended to wider areas such as monitoring the performance of athletes, lie detections, human authentication, stresses and emotion measurement. Moreover, from the ECG signal, the heart rate (HR), heart rate variability (HRV) and R-R intervals can be obtained and relate these physiological response value with human physical activities. Thus, the using of an electrocardiogram (ECG) device or wearable ECG monitor to diagnose the heart condition for the training performance evaluation is desirable. The result is recorded and assessed by analyzer (prototype of this project) for diagnosis. This work employs the Metabolic Equivalent Task (MET) to perform the level of physiological activities from volunteers. Any deviation from target heart rate value indicate the current physiological condition proportional to result of training level (either achieved the target already or need to add more the intensity, load, and duration of training). Thus, this work will assess and evaluate the proposed physical activity performance based on the assessment of ECG signal during exercise.