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Automated analysis of abnormal electroencephalograms.

P Y Ktonas

    Critical Reviews in Biomedical Engineering
    |January 1, 1983
    PubMed
    Summary
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    This review critically examines computerized analysis of electroencephalograms (EEGs). It covers methods for detecting abnormalities, seizures, and quantifying EEG data in various neurological conditions, highlighting future directions.

    Area of Science:

    • Neuroscience
    • Biomedical Engineering
    • Medical Informatics

    Background:

    • Electroencephalograms (EEGs) are crucial for diagnosing neurological disorders.
    • Visual interpretation of EEGs is subjective and time-consuming.
    • Computerized analysis offers potential for objective and efficient EEG interpretation.

    Purpose of the Study:

    • To critically review existing computerized methods for analyzing abnormal electroencephalograms (EEGs).
    • To provide a clinician's perspective on normal and abnormal EEG characteristics.
    • To explore the application of automated EEG analysis in various neurological conditions.

    Main Methods:

    • Review of literature on computerized EEG analysis techniques.
    • Description of visual detection and quantification guidelines for EEG abnormalities.

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  • Presentation of digital computer (software) and hardwired systems for EEG analysis.

    • Main Results:

    • Overview of automated detection and quantification of epileptogenic EEG transients and seizures.
    • Discussion of computerized techniques for quantifying abnormal EEGs in cerebrovascular disorders, coma, and metabolic disorders.
    • Exploration of computerized methods for localizing brain lesions and tumors.

    Conclusions:

    • Computerized EEG analysis shows significant promise for improving diagnostic accuracy and efficiency.
    • Man-machine agreement remains a critical challenge in automated EEG interpretation.
    • Future research should focus on refining algorithms and validating systems for clinical application.