Pain assessment using physiological responses/markers in different types of pain: a scoping review.

ABSTRACT: Pain is a complex multidimensional experience that integrates sensory and emotional components, presenting significant challenges for accurate assessment in clinical practice. Traditional methods of pain evaluation rely on subjective self-reporting and each individual's ability to communicate their pain experience. In light of the effect of pain on the Autonomic Nervous System, researchers are interested in developing objective assessment techniques using physiological signals. This paper outlines the latest advances in pain biomarkers and machine learning methods for assessing pain using physiological signals, highlighting the growing interest and unmet demand in this area. A comprehensive literature review was conducted, covering studies between 2014 and 2024. The discussion is organised

SUBMITTER: Camacho-Navas C 

PROVIDER: S-EPMC12824274 | biostudies-literature | 2026 Jan

REPOSITORIES: biostudies-literature