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Updated: Aug 13, 2026

Calculating Heart Rate Variability from ECG Data from Youth with Cerebral Palsy During Active Video Game Sessions
Published on: June 5, 2019
Heart rate variability characterization in daily physical activities using wavelet analysis and multilayer fuzzy
Hsiao-Lung Chan1, Shih-Chin Fang, Yu-Lin Ko
1Department of Electrical Engineering, Chang Gung University, Taoyuan, Taiwan. chanhl@mail.cgu.edu.tw
Abstract:
A portable data recorder was developed to parallel measure the electrocardiogram and body accelerations. A multilayer fuzzy clustering algorithm was proposed to classify the physical activity based on body accelerations. Discrete wavelet transform was incorporated to retrieve time-varying characteristics of heart rate variability under different physical activities. Nine healthy subjects were included to investigate activity-related heart rate variability during 24 h. The results showed that the heartbeat fluctuations in high frequencies were the greatest during lying and the smallest during standing. Moreover, very-low-frequency heartbeat fluctuations during low activity level (lying) were greater than during high activity level (nonlying).

