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An EEG based channel optimized classification approach for autism spectrum disorder

Show simple item record Haputhanthri, D Brihadiswaran, G Gunathilaka, S Meedeniya, D Jayawardena, Y Jayarathna, S Jaime, M 2019-10-21T04:44:23Z 2019-10-21T04:44:23Z
dc.description.abstract Autism Spectrum Disorder (ASD) is a neurodevelopmental condition which affects a person’s cognition and behaviour. It is a lifelong condition which cannot be cured completely using any intervention to date. However, early diagnosis and follow-up treatments have a major impact on autistic people. Unfortunately, the current diagnostic practices, which are subjective and behaviour dependent, delay the diagnosis at an early age and makes it harder to distinguish autism from other developmental disorders. Several works of literature explore the possible behaviour-independent measures to diagnose ASD. Abnormalities in EEG can be used as reliable biomarkers to diagnose ASD. This work presents a low-cost and straightforward diagnostic approach to classify ASD based on EEG signal processing and learning models. Possibilities to use a minimum number of EEG channels have been explored. Statistical features are extracted from noise filtered EEG data before and after Discrete Wavelet Transform. Relevant features and EEG channels were selected using correlation-based feature selection. Several learning models and feature vectors have been studied and possibilities to use the minimum number of EEG channels have also been explored. Using Random Forest and Correlation-based Feature Selection, an accuracy level of 93% was obtained. en_US
dc.language.iso en en_US
dc.subject Autism Spectrum Disorder en_US
dc.subject EEG signal processing en_US
dc.subject Discrete Wavelet Transform en_US
dc.subject Classification algorithms en_US
dc.title An EEG based channel optimized classification approach for autism spectrum disorder en_US
dc.type Conference-Abstract en_US
dc.identifier.faculty Engineering en_US
dc.identifier.department Department of Computer Science and Engineering en_US
dc.identifier.year 2019 en_US
dc.identifier.conference Moratuwa Engineering Research Conference - MERCon 2019 en_US Moraruwa, Sri Lanka en_US

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