Explainable stress type classification captures physiologically relevant responses in the Maastricht Acute Stress Test.

ABSTRACT:

Introduction

Current stress detection methods concentrate on identification of stress and non-stress states despite the existence of various stress types. The present study performs a more specific, explainable stress classification, which could provide valuable information on the physiological stress reactions.

Methods

Physiological responses were measured in the Maastricht Acute Stress Test (MAST), comprising alternating trials of cold pressor (inducing physiological stress and pain) and mental arithmetics (eliciting cognitive and social-evaluative stress). The responses in these subtasks were compared to each other and to the baseline through mixed model analysis. Subsequently, stress type detection was conducted with a comprehensive analysis of several machine learning c

SUBMITTER: Tervonen J 

PROVIDER: S-EPMC10790922 | biostudies-literature | 2023

REPOSITORIES: biostudies-literature