Research On Rapid ECG Extracting Method Of The Remote Monitoring System

As living standards improving, the degree of concern for people's health care has also been strengthened in recent years, particularly the demands for medical facilities level are also increasing. The extraction of ECG,which is the main basis for diagnosis of cardiovascular disease, is also the focus of attention at home and abroad in recent years. As the ECG signal is weak and are vulnerable to noise, the extraction becomes more difficult, what is more, long-distance transmission has higher demands for getting rid of the noise.'However, once someone falls ill with heart disease,his life will soon be threatened. As a result, there is necessary to be a system to timely feedback the condition of patients to the hospital, then patients can receive timely treatment. Therefore, it is very meaningful to study remote ECG monitoring system.This paper mainly uses a wireless communication to achieve long distance transmission of ECG preparing for the diagnosis behind. The system is mainly doing in-depth analysis around the problems such as the ECG Denoising, feature extraction and so on. In addition, according to ECG characteristics the wavelet analysis theory is chosen to process the ECG signal, which is the main task of the system.In the process of signal denoising by using wavelet, the quadratic spline wavelet is chosen as wavelet basis function. In order to eliminate the three major noise in this paper, such as EMG interference and Power-line interference and so on, an improved compromise of hard and soft threshold method is applied. And the result of the simulation is good.In the progress of ECG feature extraction, this paper make presentation separately of the detetion of P wave, T wave and the start/end of QRS wave and make simulation separately, the results of which are satisfactory. In particular, to dtecte of wave peak, this paper applies the combination of the wavelet analysis and variable threshold method. The detection effect of the wave peak is improved obviously. As to extract the characteristic parameters of S-T wave, the J+X method is adopted to detect the feature points, to provide important evidence for the late diagnosis of the disease. Finally, the remote ECG system is designed. The wireless communication is chosen to achieve the long-range ECG monitoring system, which is achieved through Visual Studio 2005, SQL server 2000 as the background database.