Dissertation > Excellent graduate degree dissertation topics show

Study of Heart Rate Variability Analysis Methods

Author: WuJinLi
Tutor: LiuJie
School: Beijing Jiaotong University
Course: Pattern Recognition and Intelligent Systems
Keywords: Heart rate variability(HRV) PhysioBank Database Time-domain analysis Frequency-domain analysis Poincare plot Multi-resolution analysis
CLC: TP399-C8
Type: Master's thesis
Year: 2009
Downloads: 250
Quote: 6
Read: Download Dissertation

Abstract


Heart rate variability(HRV) refers to tiny fluctuations of instantaneous heart rate between consecutive beats or the minor differences of the successive cardiac cycles.It contains a lot of information concerning the cardiovascular regulation,and can be an important indicator,quantitatively reflecting of autonomic nervous function and the normal heart activity,also can play an important role in cardiovascular regulation.In this paper,kinds of HRV analysis methods are mainly studied.HRV signals used in this paper are obtained from PhysioBank Database.HRV signals of Congestive heart failure are analyzed using common HRV analysis methods.20-minute short-term analysis and 24-hour long-term analysis are realized using time-domain parameters and frequency-domain parameters.Poincare plot analysis, one of the nonlinear analysis,is also used in this paper.Depending on the above analysis methods,an analysis system has been built.At last,use wavelet tranform for the HRV analysis.First choose an appropriate wavelet bases,then decomposed the HRV signals of congestive heart failure and normal person into 6 scales using Multi-resolution analysis.The wavelet coefficient energy is calculated,especially the frequency energy of cd3 to cd6.The result shows that energy is mainly concerned in the lower band of high frequency band and low frequency band, where the energy differences between the two groups are more evidence.It’s more precise compared to the result with frequency-domain analysis.

Related Dissertations

  1. Study of Pulse Signal Algorithm and Positioning for Pulse Signal’s Automatic Monitoring System,TN911.7
  2. Model Predictive Control Immunity Performance Analysis and Improvement Methods,TP273
  3. Industrial Ethernet end delay Modeling and Analysis,TP273
  4. Based on odor analysis equipment malfunction detection method,TB17
  5. Study on Vibration Comfort of Heavy-duty Commercial Vehicle Cab,U461.4
  6. The improved intelligent algorithm - based electric locomotive traction transformer fault diagnosis technology research,U269.6
  7. Image Fusion Algorithm Based on Wavelet Transform,TP391.41
  8. Research on Theory and Application of Intelligent Non-destructive Testing of Geotechnical Anchorage Systems Based on Wavelet Neural Network,TU43
  9. Basis and Frame in Reproducing Kernel Space,O177.1
  10. T-wave alternans and heart rate variability analysis method and its prediction of malignant arrhythmias Discussion,R541.7
  11. Research and implementation of multi-resolution digital image watermarking algorithm based,TP309.7
  12. Study on Symbol Rate Estimation Algorithms of Communication Signals,TN911.23
  13. The application of wavelet analysis in the high - frequency financial data analysis,F224
  14. Construction of Interval Multiwavelets with Multiplicity r and Dilation Factor a and Characterization on Balancing,O174.2
  15. Explicit Constructions of a Class of Trivariate Nonseprable Wavelets and Bivariate Wavelet Tight Frames,O174.2
  16. Fault Diagnosis of EI350-9/0.97 Air Centrifugal Compressor,TH452
  17. Study on the Athletes’ Electroencephalogram Signal Alpha Wave Based on Common EEG Analysis Indicators and HRV Statistical Indicators,B842
  18. Theoretical and Experimental Study of the BOTDA Based Temperature / Strain Sensing Technology,TN253
  19. A Study of M-band Periodic Wavelet Frames Using Extension Principles,O174.2
  20. Flutter Analysis of Long-Span Suspension Bridge during Completed Stage,U441.3
  21. Wind-Induced Buffrting Analysis for Long-Span Highway Steel Truss Arch Bridge in Time Domain,U441.3

CLC: > Industrial Technology > Automation technology,computer technology > Computing technology,computer technology > Computer applications > In other aspects of the application
© 2012 www.DissertationTopic.Net  Mobile