Multiple Number Of Collections Of Anti-noise ECG Monitor System

Heart is an important organ of human body. Cardiac dysfunction is a serious threat to personal health. At present, the method of rapidly diagnosis of cardiac function is compare the users’ ECG signal with the standard ECG signal to check whether each physical quantity at the normal range. Analysis ECG signal is not only used to monitor the critically ill patient’s life signals, but also for soldiers of daily training, the workers which works in high temperature and mine hole, the astronaut which in the endure heavy environment while rocket is launching and in weightlessness environment while they escaping the gravity of the earth. We need to monitor cardiac function to ensure the safety of the individual life. So, how to ensure collecting complete, high quality of ECG signals is become the core problem of ECG monitoring system.At present, there are many ECG monitoring instrument are shown on the market. They can detecting the complete, high signal noise ratio(SNR) of the ECG signal when users on stationary statues, such as lying and siting. However, these ECG signal detecting instrument also has a common disadvantage. That is, they use single or double input channel to detecting ECG signal. The instrument has poor ability to resist the movement interference. When user has just finishing an exercise, the scale of breathing is larger than before, there are some noise mixed with the ECG signals. It will decrease of signal-to-noise ratio, increasing the RMS. It may also cause the waveform distortion in the serious situation. So we think that the ways to solve this problem is to increase the number of input channel of ECG signal detecting device, which using multi-channel ECG monitoring.This article using six input channel ECG signal which set at different locations of body. We design a hardware filter and a software filter to remove noise in ECG signal, restraining the noise when users movement. We use the right leg drive circuit and traditional design of filter to restrain the interference. As for software denoising, we use wavelet denoising algorithm and independent component analysis algorithm for noise decreasing. Compared with the traditional single or double input channel monitoring system, the multiple input channel can improve signal-to-noise ratio, decreasing the mean square error. So it can to prove that multi-channel ECG monitoring system is better than the traditional one or two input channel EGC monitoring system.