An Adaptive Morphologic Filter Applied to ECG De-noising and Extraction of R Peak at Real-time

Electrocardiogram (ECG) is an electrical signal detected by the particular device and method. It is very important to analyze and measure ECG for diagnosis of various heart diseases. However, it is often disturbed by different types of noise. In this paper, an adaptive morphological filter is presented to remove the power line interference from ECG signals, by which the drawbacks of previous morphological method are overcome. Moreover, the extraction of R peak in ECG is also feasible by this filter for further study on ECG. Due to the high speed of our method, the ECG de-nosing and R Peak extracting could be both realized at real time, which is an effective method to monitoring patients undergoing surgeries.