Emg Signal Prediction

"EMG Signal Prediction" refers to the process of predicting and analyzing Electromyography (EMG) signals using machine learning and signal processing technologies. The primary goal is to model the relationship between muscle activity and electrical signals, achieving accurate predictions of muscle states and movement intentions. This technology has significant application value in rehabilitation medicine, prosthetic control, human-computer interaction, and other fields, as it can improve patients' quality of life and enhance the intelligence level of devices.