International Journal For Multidisciplinary Research

E-ISSN: 2582-2160   •   Impact Factor: 9.24

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Sonata AI: Electroencephalogram (EEG)-Based AI Music Therapy and Seizure Prevention for Neurodivergent Individuals with Epilepsy

Author(s) Michael William Liu
Country United States
Abstract Autism Spectrum Disorder (ASD) affects 1 in 36 children and over 5 million adults in the US. This project is to deliver personalized music therapy to neurodivergent individuals using Artificial Intelligence (AI) to improve sensory integration and relaxation. We conducted a study to examine the impact of music on brainwaves in both neurodivergent and neurotypical individuals. We chose the music instrument e.g., piano, violin and cello for each participant. Our study included 3 neurodivergent males and 10 neurotypical individuals, male and female. We used the Neurosity Crown to stream real-time EEG data from 8 electrodes, collecting brainwave power across delta, theta, alpha, beta, and gamma bands, with and without music, and with eyes open or closed. We implemented JavaScript and Python scripts to do data collection, processing, and analysis. Results showed that neurodivergent individuals may exhibit much higher brain activity across all regions, unlike neurotypical individuals, who displayed varied activity levels. In addition, our Interquartile Range (IQR) statistical results proved the need for customized music therapy since different neurodivergent individuals respond uniquely to different instruments: the violin was optimal for one neurodivergent participant, while the piano fits the other two. We trained a neural network (NN) using power features from the 8 electrodes collected during quiet time, labeled with the optimal instrument, to predict the best instrument for everyone. The NN achieved 98% prediction accuracy, demonstrating AI’s potential to personalize music therapy for improved sensory integration and relaxation in neurodivergent individuals without lengthy testing sessions required.
Keywords Neural Network, Music therapy, Neurodivergent, Autism
Field Computer Applications
Published In Volume 7, Issue 6, November-December 2025
Published On 2025-12-25
DOI https://doi.org/10.36948/ijfmr.2025.v07i06.64515
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E-ISSN 2582-2160
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