DocumentCode :
3020441
Title :
Intelligent Monitoring of Stereotyped Motion Disorders in Case of Children with Autism
Author :
Paragliola, Giovanni ; Coronato, Antonio
Author_Institution :
ICAR, Naples, Italy
fYear :
2013
fDate :
16-17 July 2013
Firstpage :
258
Lastpage :
261
Abstract :
Autism is a complex developmental disability, which is the result of a neurological disorder that has an effect on normal brain function, affecting person´s communication and social interaction skills. Main symptoms include motion conditions and stereotypical behaviors. This paper focuses on the detection and monitoring of stereotypical motion conditions of patients with autism. Artificial Intelligence techniques are used to identify stereotypical motion conditions, whereas the Situation-Awareness paradigm allows clinicians to obtain further medical information and the reduction of misclassifications. Results are under validation at the Department of Child Psychiatry at Children´s Hospital Santobono-Pausilipon in Naples.
Keywords :
artificial intelligence; brain; medical computing; neurophysiology; patient monitoring; artificial intelligence; autism; developmental disability; intelligent monitoring; neurological disorder; normal brain function; situation-awareness paradigm; social interaction skills; stereotyped motion disorder; stereotypical motion condition detection; Artificial neural networks; Autism; Feature extraction; Java; Monitoring; Pediatrics;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Intelligent Environments (IE), 2013 9th International Conference on
Conference_Location :
Athens
Type :
conf
DOI :
10.1109/IE.2013.12
Filename :
6597822
Link To Document :
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