Movement computing promising in analysing motor impairment in children with autism spectrum disorder

  Using movement computing for patient assessment enables precise measurements of movements in the context of both experimental and at-home settings. These methods will likely allow researchers and clinicians to distinguish autism spectrum disorder from other motor disorders and facilitate improved monitoring of children’s progress in more familiar settings such as home or school [1]. Although autism spectrum disorder (ASD) is mainly described as a disorder of communication and socialisation, motor abnormalities are also common. These are significantly correlated with social, communicative, and behavioural impairments. Mr Thomas Gargot (Hôpital La Pitié Salpêtrière, France) and colleagues set up a study to identify computational methods to automatise the assessment of motor impairments in ASD [1]. This was done by a systematic review of the literature between 2000 and 2018, which included all articles discussing automatic assessment or...

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Posted on 2 November, 20204 November, 2020