Analysis of HRV from brain injury by use of nonextensive relative entropy / 生物医学工程学杂志
Journal of Biomedical Engineering
;
(6): 944-946, 2005.
Article
in Chinese
| WPRIM
| ID: wpr-238305
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.
Full text:
Available
Index:
WPRIM (Western Pacific)
Main subject:
Pathology
/
Physiology
/
Algorithms
/
Brain
/
Brain Ischemia
/
Electroencephalography
/
Heart Arrest
/
Heart Rate
Limits:
Humans
Language:
Chinese
Journal:
Journal of Biomedical Engineering
Year:
2005
Type:
Article
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