Dissertation > Excellent graduate degree dissertation topics show

Based on wavelet and neural network ECG automatic analysis technique

Author: ZhengPeng
Tutor: ZhuCanYan
School: Suzhou University
Course: Communication and Information System
Keywords: ECG Wavelet Transform QRS detection Artificial Neural Networks
CLC: TN911.6
Type: Master's thesis
Year: 2010
Downloads: 194
Quote: 2
Read: Download Dissertation

Abstract


In this thesis, the pretreatment of ECG waveform detection, feature extraction , automatic classification and ECG diagnosis of disease and other issues of a more comprehensive study , completed the automated ECG analysis algorithm design and implementation. First , this paper analyzes the ECG interference and for frequency interference, EMG noise such as noise and baseline drift take relevant denoising ; Additionally , using a wavelet-based ECG denoising algorithm, the wavelet decomposition and reconstruction method and wavelet thresholding method for the research, analysis of both the characteristics applied to ECG signal denoising and organic combination , can be seen through the simulation of the algorithm can remove the ECG -frequency interference , baseline wander , EMG noise and other major disturbances , and can better preserve the original characteristics of the ECG , with high practical value. Then, using the classical differential threshold method critical ECG QRS wave detection , and for the traditional limitations of the differential threshold method is proposed using two orthogonal quadratic B-spline wavelets to pinpoint the real-time detection of the QRS complex algorithms. The algorithm using wavelet transform and signal singularity relationships identified in 23 scale R wave in 21 scale for the beginning and end of QRS wave detection . Simulation results show that the algorithm for QRS wave average recognition rate of 99.64% , QRS complex capable of accurately detecting and locating . Finally , in the current ECG common testing standards , based on the design of a novel , including RR interval , R -wave peak , QRS interval , RS falling slope characteristic quantities such as automatic diagnosis neural network model , discussed the nerve network design and training process . The MIT-BIH arrhythmia database authentication standard , BP neural network based on LM algorithm not only can effectively detect the presence of ECG atrial and ventricular premature beats waveform , and can be based on the patient 's own characteristics ECG waveform parameters for differences threshold selection , for a variety of cardiac arrhythmias class can achieve satisfactory diagnostic results.

Related Dissertations

  1. High Speed Frequency Measurment and Non-Linearity Correction of Frequency Modulated Capacitive Displacement Sensor,TH822
  2. Feature Extraction, Selection and Combination in Lipreading,TP391.41
  3. Research on Identification System of Cashmere and Wool Fiber,TS101.921
  4. Pulmonary Embolism Electrocardiogram Characteristic and Analysis,R563.5
  5. Spectrum Variation of Vegetation in Yanzhou Coal Mine Area and Heavy Metal Stress Characteristic,X173
  6. ECG Detection Analyzer Based on Windows xp Embedded System,R197.39
  7. Characteristics of sensory stimulation evoked,R318.0
  8. Network transmission ROI image coding algorithm,TN919.81
  9. Guide heliocentric orbit simulation Research and Improvement,O53
  10. Image Fusion Algorithms Based on Multi-scale Analysis,TP391.41
  11. Feature Extraction Technologies Research and Implementation of 3D Models Based on Wavelet Transform,TP391.41
  12. An Algorithm on Clustering and Anomaly Detection for Multiple Data Streams,TP311.13
  13. Research on Information Hiding Based on Images,TP309.7
  14. Design and Implication of Image Compression System Based on Wavelet and DM6446,TP391.41
  15. Combined DWT Dynamic Data Reconciliation Research and Application,TP274
  16. Traffic Prediction Model Based on Wavelet and Markov,TP393.06
  17. The Study of Image Watermark Base on Discrete Wavelet Transformation,TP309.7
  18. The Compression and Application of the Brain CT Image,TP391.41
  19. Inspection and Recognition on a Class of Tool Processing Trace,TP391.41
  20. Researches on the Application of the Neuron-MOS in the Neural Network,TP183
  21. The Research and Design of a Fire Detection System Based on Combustion Audio Recognition,X924.4

CLC: > Industrial Technology > Radio electronics, telecommunications technology > Communicate > Communication theory > Signal analysis
© 2012 www.DissertationTopic.Net  Mobile