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Relevance of frequency of heart-rate peaks as indicator of ‘biological’ stress level

conference contribution
posted on 2018-01-01, 00:00 authored by Meena Santhanagopalan, Madhu Chetty, Cameron Foale, Sunil AryalSunil Aryal, Britt Klein
The biopsychosocial (BPS) model proposes that health is best understood as a combination of bio-physiological, psychological and social determinants, and thus advocates for a far more comprehensive investigation of the relationships between ‘mind-body’ health. For this holistic analysis, we need a suitable measure to indicate participants’ ‘biological’ stress. With the advent of wearable sensor devices, health monitoring is becoming easier. In this study, we focus on bio-physiological indicators of stress, from wearable devices using the heart-rate data. The analysis of such heart-rate data presents a set of practical challenges. We review various measures currently in use for stress measurement and their relevance and significance with the wearables’ heart-rate data. In this paper, we propose to use the novel ‘peak heart-rate count’ metric to quantify level of ‘biological’ stress. Real life biometric data obtained from digital health intervention program was considered for the study. Our study indicates the significance of using frequency of ‘peak heart-rate count’ as a ‘biological’ stress measure.

History

Event

Neural Information Processing. International Conference (2018 : Siem Reap, Cambodia)

Volume

11307

Series

Lecture Notes in Computer Science

Pagination

598 - 609

Publisher

Springer

Location

Siem Reap, Cambodia

Place of publication

Cham, Switzerland

Start date

2018-12-13

End date

2018-12-16

ISBN-13

9783030042394

Language

eng

Publication classification

E1.1 Full written paper - refereed

Copyright notice

2018, Springer Nature Switzerland AG

Editor/Contributor(s)

Long Cheng, Andrew Leung, Seiichi Ozawa

Title of proceedings

ICONIP 2018: International Conference on Neural Information Processing