Development of a Pattern Recognition-based Myoelectric Transhumeral Prosthesis with Multifunctional Simultaneous Control Using a Model-driven Approach for Mechatronic Systems

Modern components and materials in combination with recent pattern recognition methods for electromyographic (EMG) signals enable creating multi-functional arm prostheses with intelligent and user-friendly control [1]. While the usage of pattern recognition of features extracted from EMG signals has proven highly efficient in transradial prostheses [2,3], most current transhumeral prostheses utilize the amplitude of EMG signals from residual arm muscles to control open and close the hand. Co-contracting the muscles usually performs a switch to a different mode like flexion and extension of the elbow, which is cumbersome and does not allow simultaneous movements.