A comparative study to extract the diaphragmatic electromyogram signal

Extracting the diaphragmatic electromyogram (EMG) signal is the key to manufacture the breathing machine in synchrony with patient. However, the diaphragmatic EMG signal is immerged in the electrocardiogram (ECG) signal. The mixed signals composed of EMG signal and ECG signal are obtained from the platform of EMG signal acquisition. Hence, extracting the diaphragmatic EMG signal perfectly is a difficult work. This paper employs three filters which are matched filter, adaptive filter, and mathematical morphology filter to extract the EMG signal respectively. Furthermore, we compare and analyze the performances of them in extracting the EMG signal and then discuss the advantages and disadvantages, which is convenient for us to choose the best one in application.