Automatic epileptic seizure onset detection using matching pursuit: A case study

Thomas L. Sorensen, Ulrich L. Olsen, Isa Conradsen, Jonas Henriksen, Troels W. Kjaer, Carsten E. Thomsen, Helge B.D. Sorensen

    Publikation: Bidrag til bog/antologi/rapportKonferencebidragForskningpeer review

    Abstrakt

    An automatic alarm system for detecting epileptic seizure onsets could be of great assistance to patients and medical staff. A novel approach is proposed using the Matching Pursuit algorithm as a feature extractor combined with the Support Vector Machine (SVM) as a classifier for this purpose. The combination of Matching Pursuit and SVM for automatic seizure detection has never been tested before, making this a pilot study. Data from red different patients with 6 to 49 seizures are used to test our model. Three patients are recorded with scalp electroencephalography (sEEG) and three with intracranial electroencephalography (iEEG). A sensitivity of 78-100% and a detection latency of 5-18s has been achieved, while holding the false detection at 0.16-5.31/h. Our results show the potential of Matching Pursuit as a feature extractor for detection of epileptic seizures.

    OriginalsprogEngelsk
    Titel2010 Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC'10
    Sider3277-3280
    Antal sider4
    DOI
    StatusUdgivet - 1 dec. 2010
    Begivenhed2010 32nd Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC'10 - Buenos Aires, Argentina
    Varighed: 31 aug. 20104 sep. 2010

    Publikationsserier

    Navn2010 Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC'10

    Konference

    Konference2010 32nd Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC'10
    Land/OmrådeArgentina
    ByBuenos Aires
    Periode31/08/104/09/10

    Fingeraftryk

    Udforsk hvilke forskningsemner 'Automatic epileptic seizure onset detection using matching pursuit: A case study' indeholder.

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