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• W2901725052 abstract "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." @default.
• W2901725052 created "2018-11-29" @default.
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• W2901725052 date "2018-01-01" @default.
• W2901725052 modified "2023-09-27" @default.
• W2901725052 title "Relevance of Frequency of Heart-Rate Peaks as Indicator of ‘Biological’ Stress Level" @default.
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• W2901725052 doi "https://doi.org/10.1007/978-3-030-04239-4_54" @default.
• W2901725052 hasPublicationYear "2018" @default.
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