Processing of EMG Signals with High Impact of Power Line and Cardiac Interferences

This work deals with electromyography (EMG) signal processing for the diagnosis and therapy of different muscles. Because correct muscle activity measurement strongly noised EMG signals is major hurdle in medical applications, a raw measured should be cleaned factors like power network interference ECG heartbeat. Unfortunately, there are no completed studies showing full multistage recordings. In this article, authors propose an original algorithm to perform measurements based on measurements. The effectiveness proposed was validated by portable system developed as part EU research project sets. Examples removing parasitic interferences presented each stage processing. Finally, it shown that enables cleaning minimal loss diagnostic content.