A methodological approach to remove the ECG noise from the EMG signals

The SEMGs are valuable in the kinetic system, sickness study, and clinical treatment. But the collected EMG signals recordings especially recordings from back muscles are often critically contaminated by the ECG signals and Power-Line Interference. The object of this paper is to reject the noise from the SEMGs signals that recording from the right erector spinae muscle using the adaptive filer technology. The first step of the study was to choose the method for collection of the weak SEMG signal. Then the ECG electrode position was chosen in order to record the ECG with a shape similar to that found in the noised SEMGs. At the end, spectrum of the denoised SEMG signal and the variance are analyzed. The result of the experiment showed that the adaptive filtering method proposed in this work could denoise the SEMG signals efficiency and reliable.