Effect of combining features generated through non-linear analysis and wavelet transform of EEG signals for the diagnosis of encephalopathy
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DOI: 10.1016/j.neulet.2021.136269
Abstract: Electroencephalogram (EEG) signals portray hidden neuronal interactions in the brain and indicate brain dynamics. These signals are dynamic, complex, chaotic and nonlinear, the nature of which is represented with features - fractal dimensions, entropies and… read more here.
Keywords: eeg; diagnosis; eeg signals; combining features ... See more keywords