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Introduction of morphological parameters of ECG Recognition Algorithm and Implementation

Author: ZhangJiaWei
Tutor: DongJun
School: East China Normal University
Course: Software Engineering
Keywords: ECG Signal preprocessing QRS Detection Morphology parameters Waveform classification Paper type Application of basic
CLC: TP391.4
Type: Master's thesis
Year: 2006
Downloads: 200
Quote: 7
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Abstract


ECG (electrocardiogram, ECG) heart electrical activity in the comprehensive reflection of the surface ECG analysis and thus the diagnosis of heart disease has important research significance . Faster and more accurate ECG data recorded massive computer automatic classification , there are important value issues . Firstly, pretreatment of ECG waveform detection and classification , as well as automatic ECG analysis system developed by the status quo. Designed based window function FIR bandpass digital filter . Matlab - based experiments show that the method has a fast, efficient , filtered Baseline Wander and frequency interference signals . Then this article focuses on the QRS Detection and analysis of two wider applications QRS wave recognition algorithms . Automatic identification of ECG arrhythmia problem common arrhythmia induction, and thirteen kinds of arrhythmia discrimination . And the introduction of the waveform morphology parameters play an important role in the morphology of the waveform for arrhythmia discrimination . The experiments show , to good effect , and has the advantage of a smaller amount of computation . Subsequently, this paper also discusses the automatic ECG analysis system developed technology will be introduced to the development of component technology , improve development speed and quality of the system , and provides a software platform solution for automatic ECG analysis algorithm . This article classification algorithm recognition rate compared to the leading international there is not a small gap , and after further work will focus on improving the recognition rate of the algorithm .

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CLC: > Industrial Technology > Automation technology,computer technology > Computing technology,computer technology > Computer applications > Information processing (information processing) > Pattern Recognition and devices
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