To effectively predict physical fatigue, we used the period of the cognitive task before and after physical training as valid ECG data, and finally screened 38 ...

Oct 22, 2024 · ECG signals, which monitor heart activity, are reliable indicators of physiological changes associated with the autonomic nervous system [7, 8] ...

This study proposes effective physiological indicators and methods to predict physical fatigue. We designed a ”training-cognitive task” experiment using ...

The results indicated that PSO-SVR had a better performance in predicting subjective physical fatigue, with mean absolute percentage error (MAPE) of 11.53%, and ...

Jul 12, 2024 · Through the use of ECG data, athletes' physical fatigue was predicted during rope skipping activity. In order to obtain ECG data during ...

Apr 25, 2024 · , Guangyuan Liu : Predicting physical fatigue in athletes in rope skipping training using ECG signals. Biomed. Signal Process. Control. 83 ...

Predicting physical fatigue in athletes in rope skipping training using ECG signals. Biomedical Signal Processing and Control. 2023-05 | Journal article. DOI ...

Apr 25, 2024 · Predicting physical fatigue in athletes in rope skipping training using ECG signals. Biomed. Signal Process. Control. 83: 104663 (2023).

In order to solve this issue, this paper proposes a system to monitor the state during sport and exercise for detecting fatigue and abnormal event. If a person ...

Mar 29, 2024 · Predicting physical fatigue in athletes in rope skipping training using ECG signals. Biomed. Signal Process. Control. 2023;83 [Google ...