The geometric approach to human stress based on stress-related surrogate measures.

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State: Public
Version: Final published version
License: CC BY 4.0
Serval ID
serval:BIB_776728F55D2D
Type
Article: article from journal or magazin.
Collection
Publications
Institution
Title
The geometric approach to human stress based on stress-related surrogate measures.
Journal
PloS one
Author(s)
Kloucek P., von Gunten A.
ISSN
1932-6203 (Electronic)
ISSN-L
1932-6203
Publication state
Published
Issued date
2021
Peer-reviewed
Oui
Volume
16
Number
1
Pages
e0219414
Language
english
Notes
Publication types: Journal Article
Publication Status: epublish
Abstract
We present a predictive Geometric Stress Index (pGSI) and its relation to behavioural Entropy ([Formula: see text]). [Formula: see text] is a measure of the complexity of an organism's reactivity to stressors yielding patterns based on different behavioural and physiological variables selected as Surrogate Markers of Stress (SMS). We present a relationship between pGSI and [Formula: see text] in terms of a power law model. This nonlinear relationship describes congruences in complexity derived from analyses of observable and measurable SMS based patterns interpreted as stress. The adjective geometric refers to subdivision(s) of the domain derived from two SMS (heart rate variability and steps frequency) with respect to a positive/negative binary perceptron based on a third SMS (blood oxygenation). The presented power law allows for both quantitative and qualitative evaluations of the consequences of stress measured by pGSI. In particular, we show that elevated stress levels in terms of pGSI leads to a decrease of the [Formula: see text] of the blood oxygenation, measured by peripheral blood oxygenation SpO2 as a model of SMS.
Pubmed
Web of science
Open Access
Yes
Create date
01/02/2021 14:47
Last modification date
21/11/2022 8:28
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