XGBoost-Based Classification of Electromyography Signal for Muscle Contraction and Relaxation: A Correlation-Guided Feature Analysis Approach
Analyzing electromyography (EMG) signals has become one of the important methods in biomedical engineering for researching neuromuscular function that is non-invasive, with applications such as robotic rehabilitation, prosthetics, and human-machine interface design. Despite significant improvements in EMG pattern recog...