• 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