Early Prediction and Healing Assessment of Neuronal Disorder in Autism using a Non-Linear EEG basis Model and Bio-Energetic Correlation During Raga Therapy

In this study, 24 children with Autism Spectrum Disorder (ASD) were subjected to an EEG and Bio-Well reading before and after listening to three Carnatic ragas namely Hamsadhwani, Shankarabharanam and Bhairavi. To capture chaotic EEG features, three features were extracted based on non-linear EEG: sample entropy, Lyapunov exponents and fractal dimension. What is traditionally overlooked by conventional spectral analysis, is the neural dynamics. Complementary measures such as stress indices, chakra alignment percentages and organ energy distribution were provided by Bio-Well electrophotonic imaging. After the raga sessions, we watched Lowered EEG entropy in all frontal and temporal leads, lower Lyapunov exponents (r Results show a significant decrease in the stress index (p ¡ 0.72, p ¡ 0.01), improvement in chakra alignment metrics. The A correlation between non-linear EEG changes and bio-energetic improvements supports a possible link between the two. neuroenergetic model of therapy response. The results suggest that the suggested combined nonlinear EEG and Bio-Well assessment could be used as objective monitoring tools for tracking sleep apnea in children. Therapy for ASD.