Analyzing EEG of Quasi-Brain-Death Based on Dynamic Sample Entropy Measures
Joint Authors
Cao, Jianting
Wang, Rubin
Ni, Li
Source
Computational and Mathematical Methods in Medicine
Issue
Vol. 2013, Issue 2013 (31 Dec. 2013), pp.1-6, 6 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2013-12-22
Country of Publication
Egypt
No. of Pages
6
Main Subjects
Abstract EN
To give a more definite criterion using electroencephalograph (EEG) approach on brain death determination is vital for both reducing the risks and preventing medical misdiagnosis.
This paper presents several novel adaptive computable entropy methods based on approximate entropy (ApEn) and sample entropy (SampEn) to monitor the varying symptoms of patients and to determine the brain death.
The proposed method is a dynamic extension of the standard ApEn and SampEn by introducing a shifted time window.
The main advantages of the developed dynamic approximate entropy (DApEn) and dynamic sample entropy (DSampEn) are for real-time computation and practical use.
Results from the analysis of 35 patients (63 recordings) show that the proposed methods can illustrate effectiveness and well performance in evaluating the brain consciousness states.
American Psychological Association (APA)
Ni, Li& Cao, Jianting& Wang, Rubin. 2013. Analyzing EEG of Quasi-Brain-Death Based on Dynamic Sample Entropy Measures. Computational and Mathematical Methods in Medicine،Vol. 2013, no. 2013, pp.1-6.
https://search.emarefa.net/detail/BIM-485616
Modern Language Association (MLA)
Ni, Li…[et al.]. Analyzing EEG of Quasi-Brain-Death Based on Dynamic Sample Entropy Measures. Computational and Mathematical Methods in Medicine No. 2013 (2013), pp.1-6.
https://search.emarefa.net/detail/BIM-485616
American Medical Association (AMA)
Ni, Li& Cao, Jianting& Wang, Rubin. Analyzing EEG of Quasi-Brain-Death Based on Dynamic Sample Entropy Measures. Computational and Mathematical Methods in Medicine. 2013. Vol. 2013, no. 2013, pp.1-6.
https://search.emarefa.net/detail/BIM-485616
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-485616