Automated Analysis of Stereotypical Movements in Videos of Children With Autism Spectrum Disorder.

ABSTRACT:

Importance

Stereotypical motor movements (SMMs) are a form of restricted and repetitive behavior, which is a core symptom of autism spectrum disorder (ASD). Current quantification of SMM severity is extremely limited, with studies relying on coarse and subjective caregiver reports or laborious manual annotation of short video recordings.

Objective

To assess the utility of a new open-source AI algorithm that can analyze extensive video recordings of children and automatically identify segments with heterogeneous SMMs, thereby enabling their direct and objective quantification.

Design, setting, and participants

This retrospective cohort study included 241 children (aged 1.4 to 8.0 years) with ASD. Video recordings of 319 behavioral assessments carried out at the Azrieli

SUBMITTER: Barami T 

PROVIDER: S-EPMC11393723 | biostudies-literature | 2024 Sep

REPOSITORIES: biostudies-literature