A GRU-based Model for Early Stroke Prediction Using Surface Electromyography Signals
Stroke is a leading cause of mortality and long-term disability globally, necessitating early detection for timely intervention. This paper presents a comprehensive study on the development, training, and evaluation of a Gated Recurrent Unit (GRU) model for early stroke prediction using Surface Electromyography (sEMG)...