Dissertation > Excellent graduate degree dissertation topics show

The Research of ECG Compression Based on Fracal

Author: CaoZuo
Tutor: GuoYinJing；WangZhengJie
School: Shandong University of Science and Technology
Course: Signal and Information Processing
Keywords: ECG Fractal theory R wave detection R-R subsection fractal compression
CLC: TN911.7
Type: Master's thesis
Year: 2010
Downloads: 38
Quote: 0
Read: Download Dissertation

Abstract


The ECG reflects electrophysiological activity of the heart, which is an important reference frame of evaluating cardiac function and diagnosing heart disease. How to reduce the ECG data by compressing needs to be transmitted in clinical significance.Combined with the practical problem in ECG transmission and compression, R-R fractal algorithm is put forward in this article. It can guarantee compressing rate and don’t affect the quality. In this article we also discuss the algorithm from the other point of view.First, the ECG are compressed by fractal in equal segmentation. The evaluation shows that this compression method is just simple segment handling, it can’t combine with the characteristic of ECG very well. Though the compression ratio is well, some important information of ECG will be lost after they are decompressed, this method needs to be improved.Second, the ECG are sampled by the method of fractal interpolation, then checked the R wave with the threshold method and peak value method. After comparing these two methods, the peak value method is chosen for high accuracy and low operation complexity.Finally, the R-R fractal algorithm is put forward, which algorithm combines with the characteristic of ECG. The evaluation result shows that this method has good compression quality and high compression ratio, this algorithm maintains almost all the important information of ECG after decompressing, which is good for clinical diagnosis.In this article, the fractal method is applied into ECG compression. This method with high systematization can make high performance compression and don’t lose the important information of ECG, it also can save a lot of decompressing time. The ECG compression based on fractal method reduces the data of transmission, cut down transmission cost and increase transmission speed, consequently it opens a new way of ECG compression.

Related Dissertations

  1. Pulmonary Embolism Electrocardiogram Characteristic and Analysis,R563.5
  2. ECG Detection Analyzer Based on Windows xp Embedded System,R197.39
  3. Guide heliocentric orbit simulation Research and Improvement,O53
  4. Construction and Research of Alhagi Roots Model Based on Artificial Life,TP311.52
  5. Wearable ECG Signal Quality Comprehensive Evaluation and Rhythm Analysis System,TN911.7
  6. ECG QRS Complex Morphology Analysis Based on Feature Extraction,TN911.6
  7. The Irreversibility Analysis of ECG and Fetal ECG Extraction,TN911.7
  8. Research on ECG Feature Extraction and Classification Method,TN911.7
  9. Acupuncture geotextile vertical permeability theory,TS176.5
  10. Large Stone Asphalt Mixture Design Method,U414
  11. Freescale DSC and GPRS -based remote wireless ECG monitoring system,TH772.2
  12. FPGA-based power system harmonic detection system research and design,TM935
  13. Estimation Model of Asphalt Content for SAMPAVE Stress Absorbing Layer Mixture,U414
  14. Design Research on ECG Electrode Performance Measurement System,R318.6
  15. Wavelet-based ECG waveform classification and automatic diagnosis of coronary heart disease,TN911.7
  16. Young adults with normal ventricular depolarization dimensional ECG ( vector ) diagram analysis,R540.42
  17. Fractal Characteristics of Protein Molecules,Q51
  18. Study on Coastal Water Environmental Capacity by Complex System Theory,X26
  19. The bench blasting parameters Biden Phosphate reasonable selection and Blasting Fragmentation Distribution Law,TD235.3
  20. Study and Development of ECG Monitoring System,R54
  21. Design and Implementation of Portable ECG Device Based on STM32,TH772

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