ECG Cancellation for Surface Electromyography Measurement Using Independent Component Analysis

Abstract

In clinical experiments, the surface electromyogram (sEMG) recorded from low back muscle exhibit a strong presence of electrocardiogram (ECG). This study applied independent component analysis (ICA) to effectively suppress the interference of ECG in sEMG recorded from low back muscle. In contrast to existing ICA denoise techniques, which totally remove the artifactual ICA components, high-pass filter was proposed to process the ECG-dominated ICA components to prevent possible loss of useful sEMG, and then, project all the non-artifactual ICA components (including the high-pass filtered ECG dominated ICA components) to get reconstructed sEMG (sEMG without ECG interference).