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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 KleinThe 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
11307Series
Lecture Notes in Computer SciencePagination
598 - 609Publisher
SpringerLocation
Siem Reap, CambodiaPlace of publication
Cham, SwitzerlandPublisher DOI
Start date
2018-12-13End date
2018-12-16ISBN-13
9783030042394Language
engPublication classification
E1.1 Full written paper - refereedCopyright notice
2018, Springer Nature Switzerland AGEditor/Contributor(s)
Long Cheng, Andrew Leung, Seiichi OzawaTitle of proceedings
ICONIP 2018: International Conference on Neural Information ProcessingUsage metrics
Keywords
Science & TechnologyTechnologyComputer Science, Artificial IntelligenceComputer Science, Theory & MethodsComputer ScienceBiopsychosocial modelBio-physiological dataWearableHeart-rate'Heart-rate peak count''Biological' stressBiometricBig dataRATE-VARIABILITYArtificial Intelligence and Image Processing
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