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Ergo, in this present work, automatic diagnosis of FC EEG signals from NFC EEG signals is created utilizing the Quick Walsh-Hadamard Transform (FWHT) method, entropies, and synthetic neural network (ANN). The FWHT analyzes the EEG signals when you look at the frequency domain and decomposes it into the Hadamard coefficients. Five different nonlinear features, particularly approximate entropy (ApEn), log-energy entropy (LogEn), fuzzy entropy (FuzzyEn), sample ent
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