Video Assessment to Detect Amyotrophic Lateral Sclerosis.

Autor:	Oliveira GC; School of Science, São Paulo State University, São Paulo, Brazil.; School of Engineering, Royal Melbourne Institute of Technology, Melbourne, VIC, Australia., Ngo QC; School of Engineering, Royal Melbourne Institute of Technology, Melbourne, VIC, Australia., Passos LA; School of Science, São Paulo State University, São Paulo, Brazil., Oliveira LS; School of Science, São Paulo State University, São Paulo, Brazil., Stylianou S; School of Science, Royal Melbourne Institute of Technology, Melbourne, VIC, Australia., Papa JP; School of Science, São Paulo State University, São Paulo, Brazil., Kumar D; School of Engineering, Royal Melbourne Institute of Technology, Melbourne, VIC, Australia.
Jazyk:	angličtina
Zdroj:	Digital biomarkers [Digit Biomark] 2024 Aug 29; Vol. 8 (1), pp. 171-180. Date of Electronic Publication: 2024 Aug 29 (Print Publication: 2024).
DOI:	10.1159/000540547
Abstrakt:	Introduction: Weakened facial movements are early-stage symptoms of amyotrophic lateral sclerosis (ALS). ALS is generally detected based on changes in facial expressions, but large differences between individuals can lead to subjectivity in the diagnosis. We have proposed a computerized analysis of facial expression videos to detect ALS. Methods: This study investigated the action units obtained from facial expression videos to differentiate between ALS patients and healthy individuals, identifying the specific action units and facial expressions that give the best results. We utilized the Toronto NeuroFace Dataset, which includes nine facial expression tasks for healthy individuals and ALS patients. Results: The best classification accuracy was 0.91 obtained for the pretending to smile with tight lips expression. Conclusion: This pilot study shows the potential of using computerized facial expression analysis based on action units to identify facial weakness symptoms in ALS. Competing Interests: The authors have no conflicts of interest to declare. (© 2024 The Author(s). Published by S. Karger AG, Basel.)
Databáze:	MEDLINE
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