Stimulus Artifact Removal of Semg Signals Detected During Functional Electrical Stimulation

Abstract

The recording and interpretation of surface electromyography (SEMG) under functional electrical stimulation (FES) is a useful technique for diagnostic, prognostic and therapeutic purposes.However, the stimulus artifact(SA) is a particularly troublesome form of interference.The paper developed a software-based two-level peak detection technique for SA removal.The results showed by repeatedly changing the values of the peak threshold, the entire SA was removed as expectation leaving the uncontaminated SEMG remaining.