Improving EEG classification of alcoholic and control subjects using DWT-CNN-BiGRU with various noise filtering techniques
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DOI: 10.3389/fninf.2025.1618050
Abstract: Electroencephalogram (EEG) signal analysis plays a vital role in diagnosing and monitoring alcoholism, where accurate classification of individuals into alcoholic and control groups is essential. However, the inherent noise and complexity of EEG signals pose… read more here.
Keywords: classification; dwt cnn; cnn bigru; alcoholic control ... See more keywords