Cover Image
QR Code

Mutual information in natural position order of electroencephalogram is significantly increased at seizure onset.

Epilepsy affects an estimated 60 million people worldwide. As many as 50% of people with epilepsy will continue to have seizures despite therapeutic dosages of appropriately selected antiepileptic drugs. Among proposed treatment modalities for persons with medication refractory epilepsy are implanta...

Full description

Published in:Medical & Biological Engineering & Computing Vol. 49; no. 2; pp. 133 - 142
Main Authors: Hall CW Jr, Sarkar A, Hall, Charles W Jr, Sarkar, Atom
Format: research Journal Article
Published: Springer Nature Feb2011
Online Access:View this record in EBSCOhost
fields @attributes:
  recordID: 1
pdfLink:
plink: https://search.ebscohost.com/login.aspx?direct=true&db=ccm&AN=104569950&site=ehost-live
header:
  @attributes:
    shortDbName: ccm
    uiTerm: 104569950
    longDbName: CINAHL Complete
    uiTag: AN
  controlInfo:
    bkinfo:
    dissinfo:
    jinfo:
      jid:
        01400118
        PO0
      jtl: Medical & Biological Engineering & Computing
      issn: 01400118
      maglogo: N
    pubinfo:
      dt: Feb2011
      vid: 49
      iid: 2
      pid: 237
      pub: Springer Nature
      place: New York, New York
    artinfo:
      ui:
        104569950
        NLM20936434
        2010935207
        10.1007/s11517-010-0684-0
        NLM20936434
        104569950
      ppf: 133
      ppct: 9
      formats:
        fmt:
          @attributes:
            type: P
      tig:
        atl: Mutual information in natural position order of electroencephalogram is significantly increased at seizure onset.
      aug:
        au:
          Hall CW Jr
          Sarkar A
          Hall, Charles W Jr
          Sarkar, Atom
        affil: Department of Neurology, Division of Epilepsy, The Ohio State University Medical Center, 395 W. 12th Avenue, 7th Floor, Columbus, OH 43210, USA
      sug:
        subj:
          Epilepsy Diagnosis
          Algorithms
          Bioinformatics Methods
          Electroencephalography Methods
          Signal Processing, Computer Assisted
      ab: Epilepsy affects an estimated 60 million people worldwide. As many as 50% of people with epilepsy will continue to have seizures despite therapeutic dosages of appropriately selected antiepileptic drugs. Among proposed treatment modalities for persons with medication refractory epilepsy are implantable devices that rapidly detect and abort seizures. Computational resources in these devices are limited and much effort is directed to improving the efficiency of seizure detection. The goal of this study is to determine if electroencephalogram (EEG) may be reduced by the method of natural position order in a way that increases computation speed and reduces system memory requirements while preserving features relevant to detecting seizure onset. In this study we show increased mutual information (MI) at seizure onset in simultaneous channels of EEG reduced by natural position order with a 40-fold reduction in computation time and a fivefold reduction in system memory requirements. The trade-offs to EEG reduction by natural position order include decreased bandwidth and increased noise sensitivity.
      pubtype: Academic Journal
      doctype:
        research
        Journal Article
      ougenre: Article
    language: English
    refInfo:
    holdings:
      @attributes:
        islocal: N