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)


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
Number of pages2
ISBN (Electronic)9781450352499
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


Conference7th International Conference on Digital Health, DH 2017
Country/TerritoryUnited Kingdom


  • Cloud platform
  • Heart rate variability
  • Wearable devices

ASJC Scopus subject areas

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


Dive into the research topics of 'Personal wearable devices to measure heart rate variability: A framework of cloud platform for public health research'. Together they form a unique fingerprint.

Cite this