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