Ecg Algorithm Of Real-time Monitoring And Monitoring Systems Research

The heart disease is a common multiple chronic disease which is serious for human health. The heart disease is hard to be diagnosed and ECG monitoring is vital for that. Real-time monitoring systems are now mostly servicing in hospitals, and that is too expensive and inconvenienced for the patients. As the developing of the wireless network technology and the micro-control technology, real-time ECG monitoring systems based on wireless network technology appears. These models of monitoring systems can overcome the shortcomings of the systems working in hospitals, and they are very practical and potential in future applications.ECG system which based on wireless network technology consists of ECG terminal devices, wireless networks and electrocardiogram monitoring center. At present, there are lots of methods in feature-point detection area, such as: differential threshold, template matching, wavelet transform neural network algorithm. Of course defects in these engineering applications of the algorithms talked above are inevitable. After the analysis of the algorithms listed above, this dissertation presents a new real-time ECG detection algorithm: Derivative Window Algorithm(DWA). This algorithm can extract and recognize the parameters of the features in ECG signal in turn, and could make diagnosis of the electrocardiogram rapidly and accurately, and finally being able to implement in portable systems. At last, the dissertation designs a real-time ECG monitoring terminal based on DWA.The specific content of this dissertation is as follows:(1)Based on the current situation analysis of ECG detection algorithm, a novel differential threshold Algorithm named Derivative Window Algorithm(DWA) is presented. The algorithm first detect the QRS wave group with the baseline– opposite amplitude- derivative method, and then use the mean - variance - window method to detect the TP wave. The ECG data in the simulation experiments come from the MIT-BIH Arrhythmia Database and besides that some clinical too. The experiments show that the rate of accuracy is reach up to 99.98%. (2) The terminal of real-time ECG monitoring system is designed through transplanting the DWA to ARM7 platform. And then using the experimental data and the clinical testing to identify the rate of accuracy(99.96%). The result verifies the feasibility and reliability of the system, and achieves the real-time monitoring of the electro cardio.(3)analysing the real-time ECG monitoring system network, including the joint design and the network topology design. And at last, some related network experiments are made for the real-time ECG monitoring system network design.