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    SVM detection of epileptiform activity in routine EEG.

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    Authors
    Kelleher, Daniel
    Temko, Andriy
    Nash, Derek
    McNamara, Brian
    Marnane, William
    Affiliation
    Department of Electrical Engineering, University College Cork, Ireland. danielkel@rennes.ucc.ie
    Issue Date
    2010
    MeSH
    Electroencephalography
    Epilepsy
    Humans
    Signal Processing, Computer-Assisted
    
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    Citation
    SVM detection of epileptiform activity in routine EEG. 2010, 2010:6369-72 Conf Proc IEEE Eng Med Biol Soc
    Journal
    Conference proceedings : ... Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Conference
    URI
    http://hdl.handle.net/10147/200039
    DOI
    10.1109/IEMBS.2010.5627297
    PubMed ID
    21096695
    Abstract
    Routine electroencephalogram (EEG) is an important test in aiding the diagnosis of patients with suspected epilepsy. These recordings typically last 20-40 minutes, during which signs of abnormal activity (spikes, sharp waves) are looked for in the EEG trace. It is essential that events of short duration are detected during the routine EEG test. The work presented in this paper examines the effect of changing a range of input values to the detection system on its ability to distinguish between normal and abnormal EEG activity. It is shown that the length of analysis window in the range of 0.5s to 1s are well suited to the task. Additionally, it is reported that patient specific systems should be used where possible due to their better performance.
    Item Type
    Article
    Language
    en
    ISSN
    1557-170X
    ae974a485f413a2113503eed53cd6c53
    10.1109/IEMBS.2010.5627297
    Scopus Count
    Collections
    Cork University Hospital

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