This paper presents a moving average method for estimating and removing electrocardiogram (ECG) artifact in surface electromyography (sEMG) recordings. This method does not require an ECG-only recording (e.g., with muscles relaxed), which is often required by other methods. The moving average method is compared to a common template subtraction method using sEMG recordings that were contaminated by adding ECG recordings. The performance of the moving average method is comparable to the template subtraction method. It provides superior performance at low signal-to-noise ratios (SNR) and is less sensitive to SNR.

Additional Metadata
Keywords digital signal processing, electrocardiography, electromyography, finite impulse response filter, myoelectric signal, noise cancellation
Persistent URL dx.doi.org/10.1109/MeMeA.2012.6226621
Conference 2012 IEEE Symposium on Medical Measurements and Applications, MeMeA 2012
Citation
Fraser, G.D., Chan, A, Green, J, & MacIsaac, D. (2012). Removal of electrocardiogram artifacts in surface electromyography using a moving average method. Presented at the 2012 IEEE Symposium on Medical Measurements and Applications, MeMeA 2012. doi:10.1109/MeMeA.2012.6226621