Analysis of HRV from brain injury by use of nonextensive relative entropy.
- Author:
Hong ZHANG
1
;
Yihong QIU
;
Ziming WANG
;
Yuanyuan CAI
;
Yisheng ZHU
Author Information
1. Department of Biomedical Engineering, Shanghai Jiaotong University, Shanghai 200030, China.
- Publication Type:Journal Article
- MeSH:
Algorithms;
Brain;
pathology;
physiopathology;
Brain Ischemia;
physiopathology;
Electroencephalography;
Heart Arrest;
complications;
Heart Rate;
physiology;
Humans
- From:
Journal of Biomedical Engineering
2005;22(5):944-946
- CountryChina
- Language:Chinese
-
Abstract:
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.
