Developing a pain intensity prediction model using facial expression: A feasibility study with electromyography.

ABSTRACT: The automatic detection of facial expressions of pain is needed to ensure accurate pain assessment of patients who are unable to self-report pain. To overcome the challenges of automatic systems for determining pain levels based on facial expressions in clinical patient monitoring, a surface electromyography method was tested for feasibility in healthy volunteers. In the current study, two types of experimental gradually increasing pain stimuli were induced in thirty-one healthy volunteers who attended the study. We used a surface electromyography method to measure the activity of five facial muscles to detect facial expressions during pain induction. Statistical tests were used to analyze the continuous electromyography data, and a supervised machine learning was applied for pain intensit

SUBMITTER: Mieronkoski R 

PROVIDER: S-EPMC7347182 | biostudies-literature | 2020

REPOSITORIES: biostudies-literature