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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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