Study on Correlative Dimension of HRV Signals and Its Clinical Applications

In this paper an advanced algorithm based on G-P algorithm is introduced to calculate the correlative dimension (CD) of HRV signals. Moreover, Theiler´s correction is considered to avoid the autocorrelation effect of the time serials. It will reduce the possibility to get spurious dimension. The algorithm is applied to clinical HRV data which are collected from twelve young healthy subjects under two conditions: 1) normal state; 2) autonomic nervous system (ANS) being blocked by certain acute selective blocking drug: Atropine or Metoprolol. The result sufficiently shows that the values of CD decrease after blockade, whether Atropine or Metoprolol, is given to the subjects. The reason is that these two kinds of autonomic blocking drug lead to ANS dysfunction. Then the complexity of the heart system decreases. So we can draw a conclusion that the CD value of HRV signals can reflect the complexity of the heart system and the state of ANS