Schizophrenia Detection from EEG Signals: A Transformer Framework with Spectrogram Representation
An EEG-based Schizophrenia classification framework is proposed that transforms preprocessed EEG recordings into time-frequency representations using the Short-Time Fourier Transform and generated spectrogram images are classified using both conventional Machine Learning algorithms and Deep Learning models.
Abtin Shafiei, Mohsen Hooshmand, Majid Ramezani
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