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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Detalles Bibliográficos
Autores principales: Großekathöfer, Ulf, Manyakov, Nikolay V., Mihajlović, Vojkan, Pandina, Gahan, Skalkin, Andrew, Ness, Seth, Bangerter, Abigail, Goodwin, Matthew S.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2017
Materias:
Neuroscience
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5311048/
https://www.ncbi.nlm.nih.gov/pubmed/28261082
http://dx.doi.org/10.3389/fninf.2017.00009

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5311048/
https://www.ncbi.nlm.nih.gov/pubmed/28261082
http://dx.doi.org/10.3389/fninf.2017.00009

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