The Study Of R Wave And P Wave Of ECG Signal Detection

With the signal processing technology development, each kind of new signal processing techniques apply to process the medical signal very quickly and make the technology of medical signal processing to innovate. The physiology signals which take the functional information of human always mix with a complicated mode. But doctors hope to analyze the function state of the sources which create physiological signal and make a diagnosis by using unhurt and convenient ways to obtain the physiology information. Therefore, the research of the electrocardiogram( ECG) processing, like the wave detection and signal source extraction has been paid attention. With the compute technology developing, the methods adopted are also in the continuous improvement.The paper firstly discussed the ECG de-noising, the examination of R wave, atrial fibrillation signal drawing with PCA and the time measuring of the P wave.Then the ECG de-noising by using the Hilbert transformation is discussed. The paper analyzes the different result with restructuring differently. The contrasting experiments show that the Signal-to-Noise rate is different through the ECG de-noising methods with different restructured. This way can effectively remove of the interference, such as baseline moving and power line interference etc.The method for extraction of the ECG characteristic information is discussed as follow. After analyzing current methods of ECG extraction, we take a research of R wave detection on Hilbert transformation and difference threshold method. we found that it is a great way to detect R wave uniting the two methods. A great deal of experiments proved that accuracy and credibility of the way is higher.The emphasis of the paper is to examine P wave. We should do ECG extraction if want to estimate the pathologic state of sufferer from ECG. According to principal component analysis (PCA) research, a new method to draw the atrial fibrillation signal is adopted. Through a great deal of data test from the Physionet database, a technique extraction of atrial fibrillation signal is effectively but is not successful to separate the P wave. P waves drawing from each before 2/5 periods of heart are carried on the analysis. We get a method to measure the P wave time that it can help the doctors.