Automated Detection of Repetitive Motor Behaviors as an Outcome Measurement in Intellectual and Developmental Disabilities.
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 all...
| Publicado en: | Journal of Autism & Developmental Disorders Vol. 48; no. 5; pp. 1458 - 1467 |
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| Autores principales: | , , , , , |
| Formato: | pictorial research tables/charts Journal Article |
| Publicado: |
Springer Nature
May2018
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| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ccm&AN=128946086&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 128946086 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 01623257 AUT jtl: Journal of Autism & Developmental Disorders issn: 01623257 maglogo: N pubinfo: dt: May2018 vid: 48 iid: 5 pid: 237 pub: Springer Nature place: New York, New York artinfo: ui: 128946086 128946086 128946086 10.1007/s10803-017-3408-6 128946086 ppf: 1458 ppct: 9 formats: fmt: – @attributes: type: T – @attributes: type: P tig: atl: Automated Detection of Repetitive Motor Behaviors as an Outcome Measurement in Intellectual and Developmental Disabilities. aug: au: Gilchrist, Kristin H. Hegarty-Craver, Meghan Christian, Robert B. Grego, Sonia Kies, Ashley C. Wheeler, Anne C. affil: RTI International, 3040 E. Cornwallis Road, 27709, Research Triangle Park, NC, USA sug: subj: Developmental Disabilities Intellectual Disability Motor Activity Outcome Assessment Automation Stereotyping Accelerometers Algorithms Sensitivity and Specificity Mental Disorders Diagnosed in Childhood Monitoring, Physiologic Human ab: 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. pubtype: Academic Journal doctype: pictorial research tables/charts Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
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