Study And Application Of Wavelet Transform-based Detecting Charactericstic Points In ECG Signal

The paper is Wavelet Transform-Based ECG Charactericstic Detector. It is the more important application in signal process based Wavelet Transform(WT). QRS waves and P, T waves in electrocardiogram include abundance information about person heart, which are detected well or not provide with important meaning for clinic diagnoses. The clinician diagnosing electrocardiogram with using theirs experience before , but it is not only taking heavy work for doctor but also bringing mistakes in diagnoses because of doctor individual reason. With the information technology developing, The computer are more and more used in signal process. But ECG signal includes 60Hz power line interferce, muscle noise, and motion noise. It take difficulty in ECG signal process. This paper apply WT in ECG signal process under this background, not only detecing Charactericstic point but also discussing symptom detector.The paper mainly process ECG signal by three aspects:1) QRS waves detector: Using WT's Multi-resolution Analysis(MRA) characteristic, bringing forward madule max value pair's detector spaning scales and dynamic threshold arithmetic combining with body physiology and synthesis strategy which takes duplicate detector. It not only take a more detector right rate of QRS waves but also shorten the period of computing.2) P waves and T waves detector: Using WT's restraining interferce capability, combining with acrossing zero detector method, practising vertical detector. For improving precision, taking landscape orientation detector in S=24 scale using BP arithmetic and at the same time combining with body physiology.3) The symptom detector: BP arithmetic is the preferable method of detectingsymptom. But BP arithmetic gets local precision value of grads arithmetic in essence. The project introduce Genetic Algorithms(GA)'s characteristic of getting whole optimization value at first , then combining with BP arithmetic's predominance of getting local precision value , to detect symptom. Taking a availability explore under this direction in this paper.These arithmetic above were finished in computer program and take a preferably result. But because of finity of knowledge myself, The paper must take on deficiency or mistake, and hope experts bring forward valuable advice and comment.