Personal wearable devices to measure heart rate variability: A framework of cloud platform for public health research

  • Kelvin K.F. Tsoi
  • , Janet Y.H. Wong
  • , Michael P.F. Wong
  • , Gary K.S. Leung
  • , Baker K.K. Bat
  • , Felix C.H. Chan
  • , Yong Hong Kuo
  • , Herman H.M. Lo
  • , Helen M.L. Meng

Research output: Chapter in book / Conference proceedingConference article published in proceeding or bookAcademic researchpeer-review

3 Citations (Scopus)

Abstract

Background: Heart rate variability (HRV) refers to the variation in time interval between heart rates (RR-interval). Studies have demonstrated that emotional disorder is associated with lower HRV. Electrocardiography (ECG) is the conventional HRV measurement conducted by healthcare professionals. Wearable devices with HRV measurement function may be a convenient and low-cost alternative. This study aimed to evaluate the HRV results between a wearable device and ECG. Methods: Parents from disadvantaged families were recruited and requested to wear the wearable device, second generation of Microsoft Band (MS band), on their non-dominant hand and a 7-lead ECG simultaneously for 10 minutes. Mean RR-interval was used to measure the level of HRV; subject with mean RR-interval greater than 750ms was defined as normal. Sensitivity and specificity was used to quantify the consistence between the MS band and the ECG. Results: A total of 40 subjects were recruited. The mean RR-interval of ECG measurements ranged from 487.87 to 1076.5; 9 of them had abnormal RR-interval. The sensitivity and specificity of the MS band were 88.89% and 77.42% respectively. Conclusion: This study showed that wearable device was a reliable instrument for HRV measurement in static posture. Further investigations should look into the accuracy during motion.

Original languageEnglish
Title of host publicationDH 2017 - Proceedings of the 2017 International Conference on Digital Health
PublisherAssociation for Computing Machinery
Pages207-208
Number of pages2
ISBN (Electronic)9781450352499
DOIs
Publication statusPublished - 2 Jul 2017
Event7th International Conference on Digital Health, DH 2017 - London, United Kingdom
Duration: 2 Jul 20175 Jul 2017

Publication series

NameACM International Conference Proceeding Series
VolumePart F128634

Conference

Conference7th International Conference on Digital Health, DH 2017
Country/TerritoryUnited Kingdom
CityLondon
Period2/07/175/07/17

Keywords

  • Cloud platform
  • Heart rate variability
  • Wearable devices

ASJC Scopus subject areas

  • Software
  • Human-Computer Interaction
  • Computer Vision and Pattern Recognition
  • Computer Networks and Communications

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