Automated Detection of Stereotypical Motor Movements in Autism Spectrum Disorder Using Recurrence Quantification Analysis

A number of recent studies using accelerometer features as input to machine learning classifiers show promising results for automatically detecting stereotypical motor movements (SMM) in individuals with Autism Spectrum Disorder (ASD). However, replicating these results across different types of acc...

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Dettagli Bibliografici
Pubblicato in:Front Neuroinform
Autori principali: Großekathöfer, Ulf, Manyakov, Nikolay V., Mihajlović, Vojkan, Pandina, Gahan, Skalkin, Andrew, Ness, Seth, Bangerter, Abigail, Goodwin, Matthew S.
Natura: Artigo
Lingua:Inglês
Pubblicazione: Frontiers Media S.A. 2017
Soggetti:
Neuroscience
Accesso online:https://ncbi.nlm.nih.gov/pmc/articles/PMC5311048/
https://ncbi.nlm.nih.gov/pubmed/28261082
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.3389/fninf.2017.00009
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