An automatic detection of focal EEG signals using new class of time–frequency localized orthogonal wavelet filter banks
•Proposed an automatic detection of focal and non-focal EEG signals.•Design of a new class of time-frequency localized wavelet filter banks.•Obtained the highest classification accuracy of 94.25%.•Computationally faster than all existing methods. It is difficult to detect subtle and vital difference...
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Veröffentlicht in: | Knowledge-based systems 2017-02, Vol.118, p.217-227 |
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Sprache: | eng |
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