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Autism Spectrum Disorders Diagnosing Based on EEG Analysis: a Survey
Autism spectrum disorders (ASD) are pervasive neurodevelopmental conditions characterized by impairments in reciprocal social interactions, communication skills, and stereotyped behavior. Since EEG recording and analysis is one of the fundamental tools in diagnosis and identifying disorders in ne...
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| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
Інститут фізіології ім. О.О. Богомольця НАН України
2014
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| Series: | Нейрофизиология |
| Subjects: | |
| Online Access: | http://dspace.nbuv.gov.ua/handle/123456789/148271 |
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| Summary: | Autism spectrum disorders (ASD) are pervasive neurodevelopmental conditions characterized
by impairments in reciprocal social interactions, communication skills, and stereotyped
behavior. Since EEG recording and analysis is one of the fundamental tools in diagnosis
and identifying disorders in neurophysiology, researchers strive to use the EEG signals for
diagnosing of individuals with ASD. We found that studies on the ASD diagnosis using EEG
techniques could be divided into two groups, where analysis was based on either comparison
techniques or pattern recognition techniques. In this paper, we try to explain these two sets of
algorithms along with their applied methods and results. Ultimately, evaluation measures of
diagnosis algorithms are discussed |
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