A modular test platform for real-time measurement and analysis of EMG signals for improved prosthesis control

A hardware platform for real-time measurement and analysis of human electromyographic signals (EMG) is proposed. The system is designed to have modular structure to facilitate further integration of various measurement, signal processing and actuator control tasks. To assess reachable system performance in the target application of EMG classification, two different classification methods are tested on the Xilinx Zynq-7000 All Programmable SoC using offline recorded multichannel lower arm muscle signals.