Lightweight Deep Learning Models for Detection of Neurological Disorders Using EEG Signals

Development of a lightweight deep learning framework for EEG-based detection of neurological disorders, optimized for edge deployment, focusing on Alzheimer’s disease, Parkinson’s disease, and epilepsy using efficient model architectures and real-time inference constraints.