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*

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

1 Scopus citations

Abstract

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.

Original languageEnglish
Title of host publicationProceedings - 2021 IEEE Ural-Siberian Conference on Computational Technologies in Cognitive Science, Genomics and Biomedicine, CSGB 2021
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages70-74
Number of pages5
ISBN (Electronic)9781665431491
DOIs
StatePublished - 26 May 2021
Event2021 IEEE Ural-Siberian Conference on Computational Technologies in Cognitive Science, Genomics and Biomedicine, CSGB 2021 - Novosibirsk, Yekaterinburg, Russian Federation
Duration: 26 May 202128 May 2021

Publication series

NameProceedings - 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
Country/TerritoryRussian Federation
CityNovosibirsk, Yekaterinburg
Period26/05/2128/05/21

Keywords

  • cycling exercise
  • EEG oscillations
  • heart-rate variability
  • senior adults

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