Automated Detection of Stereotypical Motor Movements in Autism Spectrum Disorder Using Recurrence Quantification Analysis
نویسندگان
چکیده
منابع مشابه
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 accelerometers and their position on the body still remains a challenge. We introduce a new set of f...
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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...
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Background: Autism Spectrum Disorder (ASD) is a complex developmental disorder characterized by repetitive and stereotypical patterns, and difficulties with social communication and interaction in early childhood. Motor development and dysfunction in children with ASD has been the subject of study in recent years and has attracted much of the attention of researchers. As motor dysfunctions can ...
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Autism Spectrum Disorders are associated with atypical movements, of which stereotypical motor movements (SMMs) interfere with learning and social interaction. The automatic SMM detection using inertial measurement units (IMU) remains complex due to the strong intra and inter-subject variability, especially when handcrafted features are extracted from the signal. We propose a new application of...
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Autism Spectrum Disorders (ASDs) are associated with specific atypical postural or motor behaviors, of which Stereotypical Motor Movements (SMMs) may severely interfere with learning and social interactions. Wireless inertial sensing technology offers a valid infrastructure for automatic and real-time SMM detection, which would provide support for tuned intervention and possibly early alert on ...
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ژورنال
عنوان ژورنال: Frontiers in Neuroinformatics
سال: 2017
ISSN: 1662-5196
DOI: 10.3389/fninf.2017.00009