• DocumentCode
    1848958
  • Title

    Schemes for Fusion of EEG and ECG Towards Temporal Lobe Epilepsy Diagnostics

  • Author

    Bermudez, T. ; Lowe, Daniel ; Lamborelle, A.-M.A.

  • Author_Institution
    Aston Univ., Birmingham
  • fYear
    2007
  • fDate
    22-26 Aug. 2007
  • Firstpage
    5132
  • Lastpage
    5135
  • Abstract
    The brain-heart system can be considered as a coupled dynamical control system in which bioenergetic processes in the brain have an autonomic influence in the heart. Hence, temporal lobe epilepsy (TLE) can induce a modification of the cardiac rhythm: in the case of fully developed temporal lobe epilepsy, this modification tends to consist of tachycardia. In this paper we investigate this phenomenon through the introduction of a biomarker based on electroencephalogram (EEG) recordings, sensitive to fully-developed TLE seizures but also partial non-TLE seizures, whose diagnostic towards TLE is reinforced through data fusion by a biomarker based on electrocardiogram (ECG) recordings. The different schemes of information fusion are investigated as part of the uncertainty reduction problem.
  • Keywords
    bioelectric phenomena; brain; electrocardiography; electroencephalography; medical diagnostic computing; medical signal processing; neurophysiology; sensor fusion; ECG; EEG; bioenergetic processes; brain-heart system; cardiac rhythm; coupled dynamical control system; data fusion; electrocardiogram recordings; electroencephalogram recordings; tachycardia; temporal lobe epilepsy diagnostics; uncertainty reduction problem; Biomarkers; Biomedical measurements; Brain modeling; Control systems; Electrocardiography; Electroencephalography; Epilepsy; Heart; Temporal lobe; Uncertainty; Algorithms; Decision Support Systems, Clinical; Diagnosis, Computer-Assisted; Electrocardiography; Electroencephalography; Epilepsy, Temporal Lobe; Humans;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Engineering in Medicine and Biology Society, 2007. EMBS 2007. 29th Annual International Conference of the IEEE
  • Conference_Location
    Lyon
  • ISSN
    1557-170X
  • Print_ISBN
    978-1-4244-0787-3
  • Type

    conf

  • DOI
    10.1109/IEMBS.2007.4353495
  • Filename
    4353495