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21-11-2017 | Original Paper

Automated Detection of Repetitive Motor Behaviors as an Outcome Measurement in Intellectual and Developmental Disabilities

Auteurs: Kristin H. Gilchrist, Meghan Hegarty-Craver, Robert B. Christian, Sonia Grego, Ashley C. Kies, Anne C. Wheeler

Gepubliceerd in: Journal of Autism and Developmental Disorders | Uitgave 5/2018

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Abstract

Repetitive sensory motor behaviors are a direct target for clinical treatment and a potential treatment endpoint for individuals with intellectual or developmental disabilities. By removing the burden associated with video annotation or direct observation, automated detection of stereotypy would allow for longer term monitoring in ecologic settings. We report automated detection of common stereotypical motor movements using commercially available accelerometers affixed to the body and a generalizable detection algorithm. The method achieved a sensitivity of 80% for body rocking and 93% for hand flapping without individualized algorithm training or foreknowledge of subject’s specific movements. This approach is well-suited for implementation in a continuous monitoring system outside of a clinical setting.
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Metagegevens
Titel
Automated Detection of Repetitive Motor Behaviors as an Outcome Measurement in Intellectual and Developmental Disabilities
Auteurs
Kristin H. Gilchrist
Meghan Hegarty-Craver
Robert B. Christian
Sonia Grego
Ashley C. Kies
Anne C. Wheeler
Publicatiedatum
21-11-2017
Uitgeverij
Springer US
Gepubliceerd in
Journal of Autism and Developmental Disorders / Uitgave 5/2018
Print ISSN: 0162-3257
Elektronisch ISSN: 1573-3432
DOI
https://doi.org/10.1007/s10803-017-3408-6