DocumentCode :
2818549
Title :
Analysis of EEG Data based on the Blind Signal Separation as the Pre-Test of the Determination of Brain Death
Author :
Konno, Yoshio ; Cao, Yang ; Yang Cao ; Fanji Gu ; Tanaka, Mamoru
fYear :
2007
fDate :
21-23 Feb. 2007
Firstpage :
547
Lastpage :
552
Abstract :
A diagnosis of brain death is made according to precise criteria and in a well-defined process. Since the determination process of brain death usually takes long time and with a high risk, such as removing a breath machine in an apnea test, a practical, safety and rapid method is expected to be developed as the pre-test of the determination of brain death. In this paper, we propose a practical EEG examination method associated with a scale-free approach of blind signal separation for the pre-testing of the brain death determination. Through the analysis of the patient´s EEG data by our proposed approach, a deep-coma patient or a brain death patient can be distinguished.
Keywords :
blind source separation; electroencephalography; medical signal processing; EEG data; apnea test; blind signal separation; brain death determination; brain death patient; breath machine; Blind source separation; Clinical diagnosis; Data analysis; Data engineering; Electrodes; Electroencephalography; Interference; Pollution measurement; Signal analysis; Testing;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Digital EcoSystems and Technologies Conference, 2007. DEST '07. Inaugural IEEE-IES
Conference_Location :
Cairns
Print_ISBN :
1-4244-0470-3
Electronic_ISBN :
1-4244-0470-3
Type :
conf
DOI :
10.1109/DEST.2007.372036
Filename :
4233770
Link To Document :
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