A hybrid model for the classification of Autism Spectrum Disorder using Mu rhythm in EEG
Menaka Radhakrishnan,
Karthik Ramamurthy,
Saranya Shanmugam
et al.
Abstract:BACKGROUND: Autism Spectrum Disorder (ASD) is a condition with social interaction, communication, and behavioral difficulties. Diagnostic methods mostly rely on subjective evaluations and can lack objectivity. In this research Machine learning (ML) and deep learning (DL) techniques are used to enhance ASD classification. OBJECTIVE: This study focuses on improving ASD and TD classification accuracy with a minimal number of EEG channels. ML and DL models are used with EEG data, including Mu Rhythm from the Senso… Show more
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