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基于非广度相对熵的缺氧缺血HRV信号分析
引用本文:张洪 邱意弘 王自明 蔡圆圆 朱贻盛. 基于非广度相对熵的缺氧缺血HRV信号分析[J]. 生物医学工程学杂志, 2005, 22(5): 944-946
作者姓名:张洪 邱意弘 王自明 蔡圆圆 朱贻盛
作者单位:上海交通大学生物医学工程系 上海200030(张洪,邱意弘,王自明,蔡圆圆),上海交通大学生物医学工程系 上海200030(朱贻盛)
摘    要: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。

关 键 词:缺血缺氧脑损伤  非广度相对熵  心率变异信号
收稿时间:2003-10-15
修稿时间:2003-10-152003-12-11

Analysis of HRV from Brain Injury by Use of Nonextensive Relative Entropy
Zhang Hong, Qiu Yihong ,Wang Ziming, Cai Yuanyuan, Zhu Yisheng. Analysis of HRV from Brain Injury by Use of Nonextensive Relative Entropy[J]. Journal of biomedical engineering, 2005, 22(5): 944-946
Authors:Zhang Hong   Qiu Yihong   Wang Ziming   Cai Yuanyuan   Zhu Yisheng
Affiliation:Department of Biomedical Engineering, Shanghai Jiaotong University, Shanghai 200030,China
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.
Keywords:Asphyxic-ischemic brain injury Nonextensive Relative Entropy Heart rate variability (HRV)
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