• DocumentCode
    1223993
  • Title

    Computerized Clinical Electroencephalography in Perspective

  • Author

    Barlow, John S.

  • Author_Institution
    Department of Neurology, Massachusetts General Hospital, Boston, MA 02114, and the Harvard Medical School
  • Issue
    7
  • fYear
    1979
  • fDate
    7/1/1979 12:00:00 AM
  • Firstpage
    377
  • Lastpage
    391
  • Abstract
    Recent developments in the field of computerized clinical electroencephalography (EEG) are surveyed, with particular reference to techniques of analysis of background (stationary) EEG activity, transient (nonstationary) activity, and to integrated systems for multichannel clinical EEG´s. A variety of approaches have been used for the basic EEG analyses. For background activity, the fast Fourier transform (FFT) and autoregressive approaches have predominated. For fast transients, segmentation, double differentiation, and inverse filtering have been prevalent. Some integrated systems, which provide a summary, and in some cases an evaluation of the basic EEG analyses, are limited to processing of only the background activity, whereas others include both background and transient activity. Some systems have been designed primarily to be an aid to the clinical electroencephalographer in the preparation of his report. A very few systems have been designed to provide a printed report similar to the conventional clinical EEG report. Although not considered extensively in this review, artifact rejection and/or compensation will necessarily be a major aspect of any fully computerized system. Overall, the field of computerized clinical EEG is now a relatively rapidly evolving one in which further progress is likely to be accelerated by the utilization of microprocessors and high-speed arithmetic processing devices.
  • Keywords
    Acceleration; Application software; Digital arithmetic; Electroencephalography; Fast Fourier transforms; Filtering; Hospitals; Laboratories; Microprocessors; Transient analysis; Action Potentials; Adolescent; Adult; Child; Child, Preschool; Computers; Data Display; Diagnosis, Computer-Assisted; Electroencephalography; Evoked Potentials; Fourier Analysis; Humans; Infant; Online Systems; Pattern Recognition, Automated; Statistics as Topic; Time Factors;
  • fLanguage
    English
  • Journal_Title
    Biomedical Engineering, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0018-9294
  • Type

    jour

  • DOI
    10.1109/TBME.1979.326416
  • Filename
    4123075