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[Analysis of HRV from brain injury by use of nonextensive relative entropy].

Authors
  • Zhang, Hong
  • Qiu, Yihong
  • Wang, Ziming
  • Cai, Yuanyuan
  • Zhu, Yisheng
Type
Published Article
Journal
Sheng wu yi xue gong cheng xue za zhi = Journal of biomedical engineering = Shengwu yixue gongchengxue zazhi
Publication Date
Oct 01, 2005
Volume
22
Issue
5
Pages
944–946
Identifiers
PMID: 16294727
Source
Medline
License
Unknown

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.

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