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Automated electroencephalographic analysis as a prognostic indicator in stroke

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Abstract

A method of automated electroencephalographic (e.e.g.) analysis has been developed. Patients suffering from cerebrovascular accidents (c.v.a.) were tested and up to six serial e.e.g.s were obtained from each. The quantified e.e.g. parameters showed changes which preceded associated clinical changes by nearly four weeks. With this method quantifiable parameters have been demonstrated to be effective clinical measures not only of ongoing e.e.g. activity, but also of impending clinical changes in the patient's condition.

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Authors and Affiliations

  1. School of Medicine, Emory University, 1441 Clifton Road North East, 30322, Atlanta, Ca, USA

    B. A. Cohen

  2. Department of Neurology, Veterans Administration Center, Wood, Wisconsin

    E. J. Bravo-Fernandez

  3. The Medical College of Wisconsin, Milwaukee, Wis., USA

    E. J. Bravo-Fernandez

  4. Biomedical Engineering, Marquette University, Milwaukee, Wis., USA

    A. Sances Jr.

  5. Medical College of Wisconsin, Milwaukee, Wis., USA

    A. Sances Jr.

Authors
  1. B. A. Cohen
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  2. E. J. Bravo-Fernandez
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  3. A. Sances Jr.
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Cohen, B.A., Bravo-Fernandez, E.J. & Sances, A. Automated electroencephalographic analysis as a prognostic indicator in stroke. Med. Biol. Eng. Comput. 15, 431–437 (1977). https://doi.org/10.1007/BF02457998

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  • DOI: https://doi.org/10.1007/BF02457998

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