Heart Rate Variability Analysis based on Multi-Resolution Analysis / 中国医学物理学杂志

ABSTRACT

Objective:Heart rate variability (HRV) 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.Therefore,HRV signals are analyzed using common HRV analysis methods.Methods:Decompose HRV signals of congestive heart failure and normal persons into 6 scales using Multi-resolution analysis.The wavelet coefficient energy is calculated,especially the frequency energy of cd3 to cd6.Results: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.Conclusions:To gain results with universal law,more different analysis methods need to be improved and lots of researches are necessary.