Resting-State Heart Rate Variability Presages EEG Oscillatory Activity in Senior Adults during Cycling Exercise

Jiun Wei Liou, Po Shan Wang, Yu Te Wu, Sheng Kai Lee, Mike S.D. Chang, Michelle Liou*

*此作品的通信作者

研究成果: Conference contribution同行評審

1 引文 斯高帕斯(Scopus)

摘要

EEG, ECG and EMG signals were recorded during 3 stages of cycling exercise in 38 senior adults. Before and after the cycling stages, 5-min resting-state EEG and ECG signals were also recorded in individual subjects. Resting-state EEG oscillatory activity was the best predictor of oscillatory activity during cycling exercise. In addition, resting-state ECG entropy and subjects' weights were also significant predictors of oscillatory activity during cycling exercise especially in the high frequency ranges. Senior females with lower weights and higher resting-state ECG entropy values showed stronger oscillatory activity in all frequency ranges during cycling exercise and weaker oscillatory activity under resting-states compared with other subjects. We conclude that cycling exercise has the potential to reduce frailty in senior adults especially in those who have higher resting-state ECG entropy values.

原文English
主出版物標題Proceedings - 2021 IEEE Ural-Siberian Conference on Computational Technologies in Cognitive Science, Genomics and Biomedicine, CSGB 2021
發行者Institute of Electrical and Electronics Engineers Inc.
頁面70-74
頁數5
ISBN(電子)9781665431491
DOIs
出版狀態Published - 26 5月 2021
事件2021 IEEE Ural-Siberian Conference on Computational Technologies in Cognitive Science, Genomics and Biomedicine, CSGB 2021 - Novosibirsk, Yekaterinburg, 俄羅斯
持續時間: 26 5月 202128 5月 2021

出版系列

名字Proceedings - 2021 IEEE Ural-Siberian Conference on Computational Technologies in Cognitive Science, Genomics and Biomedicine, CSGB 2021

Conference

Conference2021 IEEE Ural-Siberian Conference on Computational Technologies in Cognitive Science, Genomics and Biomedicine, CSGB 2021
國家/地區俄羅斯
城市Novosibirsk, Yekaterinburg
期間26/05/2128/05/21

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