基于非广度相对熵的缺氧缺血HRV信号分析

Analysis of HRV from Brain Injury by Use of Nonextensive Relative Entropy

缺血缺氧脑损伤研究是当今的热门课题。本文利用非广度集内的相对熵(Nonextensive kullback-Leibler entropy)对缺氧缺血状况下的心率变异信号(Heart rate variability,HRV)进行分析,并且与相应的脑电分析结果做比较,说明Kullback-Leibler熵可以表征缺氧缺血程度,同时为临床量化监测缺血缺氧脑损伤提供一种新的途径。

Due to its great clinical significance, brain injury following cardiac arrest （CA） has attracted more attention now. Meanwhile, there are currently no approved real time objective methods used to monitor brain injury following CA. In this study, we adopt the method of nonextensive Kullback-Leibler Entropy in investigating the HRV signals from brain injury and compare the result with that of corresponding EEG analysis. The comparative analysis shows that Kullback-Leibler Entropy can reveal the injury level of brain following CA. And we propose a novel quantitative approach for monitoring brain injury.