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Study on ECG Parameters Detection Algorithm

Author: BaiFan
Tutor: HaoXiaoLi
School: Beijing Jiaotong University
Course: Circuits and Systems
Keywords: ECG signal Pretreatment Parameter detection Wavelet Transform
CLC: TP391.41
Type: Master's thesis
Year: 2009
Downloads: 152
Quote: 5
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Abstract


ECG (Electrocardiogram) signal detection is an important part in the clinical diagnosis of heart disease , how to increase the accuracy of the ECG signal acquisition , reduce noise , and improve the efficiency of the ECG signal waveform detection has been the core issue of the ECG signal detection research . Mainly from two aspects of the ECG signal preprocessing algorithm and detection algorithm of the ECG signal parameters of the ECG signal detection . The more common type of interference in the ECG signal : frequency interference and its harmonics , baseline drift and EMG interference . The spectral characteristics for the three interference , we systematically study the ECG signal preprocessing method using a digital filter , and the characteristics of multi-scale analysis using wavelet transform , in-depth study of the ECG signal pre- threshold method based on wavelet transform coefficient . Further research in order to solve the difficulties of the method of threshold selection , text filtering method combining the wavelet transform and adaptive filter , and design of an adaptive filter . The filter is based on wavelet single branch reconstruct the signal as the reference signal , the LMS algorithm approximation multivessel reconstructed signal , in order to achieve the filtering function , this method can effectively filter frequency interference , baseline drift and EMG interference . ECG signal parameters detected QRS complex in the ECG signal to detect the position of the P wave, T -wave parameters , amplitude , and area information . The biorthogonal quadratic B-spline wavelet wavelet decomposition of the ECG signal , according to the mode extremum method to determine the position of the R wave of the ECG signal . Based on this article through the analysis of the wavelet transform result of different scales , the ECG signal in the P , T wave of the positioning , and for P, T wave has a positive, negative , doublet forms this feature P wave , T wave detection were optimized using this method can effectively detect the ECG signal QRS, T, P waveform information . MATLAB platform ECG signal preprocessing and parameter detection algorithm simulation , using the MIT-BIH ECG database and the actual acquisition of the ECG signal , the application of the wavelet adaptive filters and wavelet transform method the ECG signal preprocessing and detection parameters are to achieve the desired results confirmed the feasibility of the algorithm . This article Total Figure 21 , Table 4 , Reference 44 .

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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 > Image recognition device
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