Study Of Heart Rate Variability Analysis Methods

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.