cHRV uncovering daily stress dynamics using bio-signal from consumer wearables

Tian Hao, Henry Chang, Marion J. Ball, Kun Lin, Xinxin Zhu

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

Abstract

Knowing the dynamics of one's daily stress is essential to effective stress management in the context of smart and connected health. However, there lacks a practical and unobtrusive means to obtain real-time and longitudinal stress information. In this paper, we attempt to derive a convenient HRV-based (heart rate variability) biomarker named cHRV, which can be used to reliably reflect stress dynamics. cHRV's key advantage lies in its low maintenance and high practicality. It can be efficiently calculated only using data from photoplethysmography (PPG) sensors, the mainstream heart rate sensor embedded in most of the consumer wearables like Apple Watch. Benefiting from the proliferation of wearables, cHRV is ideal for day-to-day stress monitoring. To evaluate its feasibility and performance, we have conducted 14 in-lab controlled experiments. The result shows that the proposed cHRV has strong correlation with the stress dynamics (r>0.95), therefore exhibits great potential for continuous stress assessment.

Original languageEnglish (US)
Title of host publicationMEDINFO 2017
Subtitle of host publicationPrecision Healthcare through Informatics - Proceedings of the 16th World Congress on Medical and Health Informatics
PublisherIOS Press
Pages98-102
Number of pages5
ISBN (Electronic)9781614998297
DOIs
StatePublished - Jan 1 2017
Externally publishedYes
Event16th World Congress of Medical and Health Informatics: Precision Healthcare through Informatics, MedInfo 2017 - Hangzhou, China
Duration: Aug 21 2017Aug 25 2017

Publication series

NameStudies in Health Technology and Informatics
Volume245
ISSN (Print)0926-9630
ISSN (Electronic)1879-8365

Other

Other16th World Congress of Medical and Health Informatics: Precision Healthcare through Informatics, MedInfo 2017
CountryChina
CityHangzhou
Period8/21/178/25/17

Fingerprint

Heart Rate
Photoplethysmography
Malus
Biomarkers
Maintenance
Health
Watches
Sensors
Monitoring
Experiments

Keywords

  • Biomarkers
  • Heart rate
  • Psychological
  • Stress

ASJC Scopus subject areas

  • Biomedical Engineering
  • Health Informatics
  • Health Information Management

Cite this

Hao, T., Chang, H., Ball, M. J., Lin, K., & Zhu, X. (2017). cHRV uncovering daily stress dynamics using bio-signal from consumer wearables. In MEDINFO 2017: Precision Healthcare through Informatics - Proceedings of the 16th World Congress on Medical and Health Informatics (pp. 98-102). (Studies in Health Technology and Informatics; Vol. 245). IOS Press. https://doi.org/10.3233/978-1-61499-830-3-98

cHRV uncovering daily stress dynamics using bio-signal from consumer wearables. / Hao, Tian; Chang, Henry; Ball, Marion J.; Lin, Kun; Zhu, Xinxin.

MEDINFO 2017: Precision Healthcare through Informatics - Proceedings of the 16th World Congress on Medical and Health Informatics. IOS Press, 2017. p. 98-102 (Studies in Health Technology and Informatics; Vol. 245).

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

Hao, T, Chang, H, Ball, MJ, Lin, K & Zhu, X 2017, cHRV uncovering daily stress dynamics using bio-signal from consumer wearables. in MEDINFO 2017: Precision Healthcare through Informatics - Proceedings of the 16th World Congress on Medical and Health Informatics. Studies in Health Technology and Informatics, vol. 245, IOS Press, pp. 98-102, 16th World Congress of Medical and Health Informatics: Precision Healthcare through Informatics, MedInfo 2017, Hangzhou, China, 8/21/17. https://doi.org/10.3233/978-1-61499-830-3-98
Hao T, Chang H, Ball MJ, Lin K, Zhu X. cHRV uncovering daily stress dynamics using bio-signal from consumer wearables. In MEDINFO 2017: Precision Healthcare through Informatics - Proceedings of the 16th World Congress on Medical and Health Informatics. IOS Press. 2017. p. 98-102. (Studies in Health Technology and Informatics). https://doi.org/10.3233/978-1-61499-830-3-98
Hao, Tian ; Chang, Henry ; Ball, Marion J. ; Lin, Kun ; Zhu, Xinxin. / cHRV uncovering daily stress dynamics using bio-signal from consumer wearables. MEDINFO 2017: Precision Healthcare through Informatics - Proceedings of the 16th World Congress on Medical and Health Informatics. IOS Press, 2017. pp. 98-102 (Studies in Health Technology and Informatics).
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