RT Journal Article
SR Electronic
T1 A geometric approach to human stress based on stress-related surrogate measures
JF bioRxiv
FD Cold Spring Harbor Laboratory
SP 688937
DO 10.1101/688937
A1 Petr Kloucek
A1 Armin von Gunten
YR 2019
UL http://biorxiv.org/content/early/2019/07/01/688937.abstract
AB We present a predictive Geometric Stress Index (pGSI) and its relation to behavioural Entropy (b𝔼). b𝔼 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 b𝔼 in terms of a power law model. This nonlinear relationship describes congruences in complexity derived from analyses of observable and measurable SMS 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 b𝔼 of the blood oxygenation as a model of SMS.