Research And Implementation Of P Wave Detection Algorithm Based On ECG Remote Monitoring System

The cardiac disease is one of the most harmful diseases to human's health, and ECG is one of the most important methods for cardiac disease diagnosis. The precise automatic analysis of ECG signal, which is also the hotspot in these years, is the key to the cardiac disease diagnosis. About 70% of the death caused by heart disease is accident happened outside hospitals. Monitoring the ECG of high risk group can greatly reduce the death rate of cardio paths. Quick and accurate auto-detection of received ECG is the key point for improving the intellectual ability and availability.This research focuses on the further research on the algorithm for characteristic signal detection of ECG based on the previous work. Accomplished works are as follows:First of all, various existed algorithms for characteristic signal detection of ECG are categorized and summarized, and the advantages and disadvantages of the algorithms are discussed and compared.Secondly, after analyzing the principle of wavelet transform in ECG signal singular point detection, the ECG signals are transformed using Mexican-hat wavelet, and the R pick is detected in 7th scale, accompanied with a series of estimate method to reduce wrong detections. At the same time, the Q wave, R wave and the QRS jumping-ending point are detected using the plane geometry method.Thirdly, for highlight the P wave, the QRS-T is canceled in the transformed signal based on the result of QRS complex detection; and the P pick is detected using amplitude threshold method. According to the complexity and variety of the form of P wave, various distinguish method, such as slope and amplitude ratio, are used to distinguish the form of P waves.Fourthly, the algorithm is programmed using Matlab, and ECG signals from MIT-BIH database were tested. As the results shown, the part 1 average precision of QRS complex detection is up to 99.75%; the part 2 average precision of QRS complex detection is up to 96.31%; and the precision of P wave detection is up to 90% in regular signals, but the precision of unregular signals is not satisfied.Finally, the algorithm is tested in TMS320VC5509 DSP processor. According to the result of profiler, this algorithm could meet the real-time requirement of the hardware system.