Automated Detection of Stereotypical Motor Movements.
To overcome problems with traditional methods for measuring stereotypical motor movements in persons with Autism Spectrum Disorders (ASD), we evaluated the use of wireless three-axis accelerometers and pattern recognition algorithms to automatically detect body rocking and hand flapping in children...
| Publicado en: | Journal of Autism & Developmental Disorders Vol. 41; no. 6; pp. 770 - 783 |
|---|---|
| Autores principales: | , , , |
| Formato: | pictorial research tables/charts tracings Journal Article |
| Publicado: |
Springer Nature
Jun2011
|
| 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=104896817&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 104896817 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 01623257 AUT jtl: Journal of Autism & Developmental Disorders issn: 01623257 maglogo: N pubinfo: dt: Jun2011 vid: 41 iid: 6 pid: 237 pub: Springer Nature place: New York, New York artinfo: ui: 104896817 60590575 10.1007/s10803-010-1102-z NLM20839042 104896817 ppf: 770 ppct: 13 formats: fmt: @attributes: type: P tig: atl: Automated Detection of Stereotypical Motor Movements. aug: au: Goodwin, Matthew Intille, Stephen Albinali, Fahd Velicer, Wayne affil: Media Laboratory, Massachusetts Institute of Technology, MIT Bldg E14-374 K, 75 Amherst Street Cambridge 02139 USA sug: subj: Autism Spectrum Disorder Accelerometry Methods Behavioral Symptoms Diagnosis Movement Human Funding Source Rhode Island Scales Male Adolescence Young Adult Videorecording Descriptive Statistics kappa Statistic Adolescent: 13-18 years Male ab: To overcome problems with traditional methods for measuring stereotypical motor movements in persons with Autism Spectrum Disorders (ASD), we evaluated the use of wireless three-axis accelerometers and pattern recognition algorithms to automatically detect body rocking and hand flapping in children with ASD. Findings revealed that, on average, pattern recognition algorithms correctly identified approximately 90% of stereotypical motor movements repeatedly observed in both laboratory and classroom settings. Precise and efficient recording of stereotypical motor movements could enable researchers and clinicians to systematically study what functional relations exist between these behaviors and specific antecedents and consequences. These measures could also facilitate efficacy studies of behavioral and pharmacologic interventions intended to replace or decrease the incidence or severity of stereotypical motor movements. pubtype: Academic Journal doctype: pictorial research tables/charts tracings Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
|---|