Abstract
Surface electromyogram (SEMG) of the lumbar back muscles is being used for determining posture disorders for people suffering from low back pain. But SEMG of the back has a strong electrocardiogram (ECG) artefact. Research was conducted to determine the difference in the SEMG before and after the removal of ECG artefact from the SEMG recording using gating, subtraction and multi-step independent component analysis (MICA). The paper reports results of experiments conducted on eleven subjects over two days. The results show that removal of ECG artefact from the raw signal can substantially alter the RMS of the signal demonstrating the need for careful filtering of the signal for analysis. The paper also reports of the success of MICA for removing the ECG artefact.
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