SyniEMG: An open-source platform for synthesizing intramuscular electromyography signals from kinematic inputs

Juzheng Mao, Honghan Li, Jinyang Yu, Haijun Wu, Miguel Bordallo López, Yongkun Zhao

Abstract: Highlights•Innovative Platform: SyniEMG synthesizes iEMG signals from kinematic inputs non-invasively.•Hybrid Model Design: Combines GANs, CNNs, LSTMs, and attention for iEMG signal modeling.•High Fidelity Synthesis: Generates realistic iEMG signals with verified accuracy.•Efficiency and Cost-Effectiveness: Reduces need for needles, ensuring comfort and safety.•Applications in Neuromuscular Control: Enables reverse synthesis of muscle signals for diagnostics.