Robustness of basal heart rate against declining physical activity analysis of physiological big data

Emi Yuda, Yutaka Yoshida, Masaya Kisohara, Junichiro Hayano

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

To examine the influences of reduced physical activity on the circadian architecture of heart rate, we performed big data analysis on the effect of relative time spent in the lying position on the timing and level of basal heart rate (BHR, 24-h minimum heart rate). In the big data of simultaneously recorded 24-h electrocardiogram and triaxial acceleration in 12,530 men and 17,529 women, BHR was found to occur at the median [IQR] of 04:07 [01:35-05:35] in men and 03:50 [01:35-05:53] in women. The clock time when BHR occurred was slightly accelerated by advancing age (-11 and-8 min per 10-y increment of age for men and women) and was slightly delayed by increasing lying time (only +6 and +9 min per 10% increment of lying ratio in the day). This study indicates that BHR is a robust biological property that is not easily lost by declining physical activity.

Original languageEnglish
Title of host publicationProceedings - 2019 IEEE International Congress on Cybermatics
Subtitle of host publication12th IEEE International Conference on Internet of Things, 15th IEEE International Conference on Green Computing and Communications, 12th IEEE International Conference on Cyber, Physical and Social Computing and 5th IEEE International Conference on Smart Data, iThings/GreenCom/CPSCom/SmartData 2019
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages250-253
Number of pages4
ISBN (Electronic)9781728129808
DOIs
Publication statusPublished - 2019 Jul
Event12th IEEE International Conference on Internet of Things, 15th IEEE International Conference on Green Computing and Communications, 12th IEEE International Conference on Cyber, Physical and Social Computing and 5th IEEE International Conference on Smart Data, iThings/GreenCom/CPSCom/SmartData 2019 - Atlanta, United States
Duration: 2019 Jul 142019 Jul 17

Publication series

NameProceedings - 2019 IEEE International Congress on Cybermatics: 12th IEEE International Conference on Internet of Things, 15th IEEE International Conference on Green Computing and Communications, 12th IEEE International Conference on Cyber, Physical and Social Computing and 5th IEEE International Conference on Smart Data, iThings/GreenCom/CPSCom/SmartData 2019

Conference

Conference12th IEEE International Conference on Internet of Things, 15th IEEE International Conference on Green Computing and Communications, 12th IEEE International Conference on Cyber, Physical and Social Computing and 5th IEEE International Conference on Smart Data, iThings/GreenCom/CPSCom/SmartData 2019
CountryUnited States
CityAtlanta
Period19/7/1419/7/17

Keywords

  • Biosignal processing
  • Physiological big data
  • basal heart rate
  • body posture
  • physical activity

ASJC Scopus subject areas

  • Artificial Intelligence
  • Computer Networks and Communications
  • Renewable Energy, Sustainability and the Environment
  • Hardware and Architecture
  • Information Systems and Management
  • Safety, Risk, Reliability and Quality
  • Communication

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  • Cite this

    Yuda, E., Yoshida, Y., Kisohara, M., & Hayano, J. (2019). Robustness of basal heart rate against declining physical activity analysis of physiological big data. In Proceedings - 2019 IEEE International Congress on Cybermatics: 12th IEEE International Conference on Internet of Things, 15th IEEE International Conference on Green Computing and Communications, 12th IEEE International Conference on Cyber, Physical and Social Computing and 5th IEEE International Conference on Smart Data, iThings/GreenCom/CPSCom/SmartData 2019 (pp. 250-253). [8875358] (Proceedings - 2019 IEEE International Congress on Cybermatics: 12th IEEE International Conference on Internet of Things, 15th IEEE International Conference on Green Computing and Communications, 12th IEEE International Conference on Cyber, Physical and Social Computing and 5th IEEE International Conference on Smart Data, iThings/GreenCom/CPSCom/SmartData 2019). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/iThings/GreenCom/CPSCom/SmartData.2019.00062