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EEG-Based Computer Aided Diagnosis of Autism Spectrum Disorder Using Wavelet, Entropy, and ANN
Joint Authors
Djemal, Ridha
AlSharabi, Khalil
Ibrahim, Sutrisno
Alsuwailem, Abdullah
Source
Issue
Vol. 2017, Issue 2017 (31 Dec. 2017), pp.1-9, 9 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2017-04-18
Country of Publication
Egypt
No. of Pages
9
Main Subjects
Abstract EN
Autism spectrum disorder (ASD) is a type of neurodevelopmental disorder with core impairments in the social relationships, communication, imagination, or flexibility of thought and restricted repertoire of activity and interest.
In this work, a new computer aided diagnosis (CAD) of autism based on electroencephalography (EEG) signal analysis is investigated.
The proposed method is based on discrete wavelet transform (DWT), entropy (En), and artificial neural network (ANN).
DWT is used to decompose EEG signals into approximation and details coefficients to obtain EEG subbands.
The feature vector is constructed by computing Shannon entropy values from each EEG subband.
ANN classifies the corresponding EEG signal into normal or autistic based on the extracted features.
The experimental results show the effectiveness of the proposed method for assisting autism diagnosis.
A receiver operating characteristic (ROC) curve metric is used to quantify the performance of the proposed method.
The proposed method obtained promising results tested using real dataset provided by King Abdulaziz Hospital, Jeddah, Saudi Arabia.
American Psychological Association (APA)
Djemal, Ridha& AlSharabi, Khalil& Ibrahim, Sutrisno& Alsuwailem, Abdullah. 2017. EEG-Based Computer Aided Diagnosis of Autism Spectrum Disorder Using Wavelet, Entropy, and ANN. BioMed Research International،Vol. 2017, no. 2017, pp.1-9.
https://search.emarefa.net/detail/BIM-1139729
Modern Language Association (MLA)
Djemal, Ridha…[et al.]. EEG-Based Computer Aided Diagnosis of Autism Spectrum Disorder Using Wavelet, Entropy, and ANN. BioMed Research International No. 2017 (2017), pp.1-9.
https://search.emarefa.net/detail/BIM-1139729
American Medical Association (AMA)
Djemal, Ridha& AlSharabi, Khalil& Ibrahim, Sutrisno& Alsuwailem, Abdullah. EEG-Based Computer Aided Diagnosis of Autism Spectrum Disorder Using Wavelet, Entropy, and ANN. BioMed Research International. 2017. Vol. 2017, no. 2017, pp.1-9.
https://search.emarefa.net/detail/BIM-1139729
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1139729