心率变异信号的相关维数分析

心率变异性(HRV)是反应交感-副交感神经张力及其平衡的重要指标,在临床中可以用作参考实现对心血管疾病辅助诊断及其康复过程中的无创性监测.通过对心率变异信号的非线性特征得到证实后认为,可以利用如相关维数等非线性动力学参数来刻画与分析心率变异信号.传统的计算时间序列相关维数的方法是基于相空间重构理论的G-P算法,通过对该算法的改进,可以大大降低其计算工作量.计算了30例临床病例HRV信号的相关维数,并对计算结果进行了统计分析,其结果可以在临床上提供参考.

Correlation Dimension Analysis on Heart Rate Variability Signal

Heart rate variability is an important index to express the tensility and balance of the parasympathetic-sympathetic nerve, and it is valuable to diagnose heart and blood disease in clinical diagnosis. It is approved that HRV signal possess non-linear characteristic, and we can analyse and present HRV signal with non-linear dynamic parameteres, such as fractal dimension. Based on phase-space reconstruction theory, an improved algorithm is introduced to calculate the correlation dimension of HRV signal, and some valuable conclusions are expressed according to the result which is concluded from the correlation dimension of nearly 30 samples.