1 publication

  • Published Ahead of print Subscription Original Research

    Alzheimer disorders diagnosis system design using machine learning for EEG signal

    Abstract: The diagnosis of Alzheimer's disorders (AD), a prevalent neurological disorder, can created by utilising a range of therapeutic methods, including the electroencephalogram (EEG), which has been especially successful in the past. The objective for this study is to develop a computer-aided diagnosis tool which may recognize AD from EEG data. The EEG information was cleaned up with a band-pass elliptic digital filter to remove any interference or disruptions. The filtered …

    Published in Journal of Control & Instrumentation Read article

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