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ABSTRACT: Background
Mental health conditions have become a substantial cause of disability worldwide, resulting in economic burden and strain on the public health system. Incorporating cognitive and physiological biomarkers using noninvasive sensors combined with self-reported questionnaires can provide a more accurate characterization of the individual's well-being. Biomarkers such as heart rate variability or those extracted from the electrodermal activity signal are commonly considered as indices of autonomic nervous system functioning, providing objective indicators of stress response. A model combining a set of these biomarkers can constitute a comprehensive tool to remotely assess mental well-being and distress.Objective
This study aims to design and validate a remote multipar
SUBMITTER: Castro Ribeiro T
PROVIDER: S-EPMC11015365 | biostudies-literature | 2024 Mar
REPOSITORIES: biostudies-literature