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  2. Volume 7, Issue 11
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Online ISSN: 2515-8260

Volume7, Issue11

TUNABLE-Q WAVELET TRANSFORM BASED ENTROPY MEASURES FOR IDENTIFICATION OF EPILEPTIC SEIZURES

    Nazia Parveen Syed Hasan Saeed

European Journal of Molecular & Clinical Medicine, 2020, Volume 7, Issue 11, Pages 4702-4717

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Abstract

The accurate location of epileptic seizures by interpreting an EEG (Electroencephalogram) signal is highly demanding and involves skilled neurologists. In this study, the EEG is analyzed using the Tunable-Q Wavelet Transform (TQWT) method for identifying seizures by splitting an EEG signal into several sub-bands. The entropy computed for each sub-band signifies the nonlinearity in an EEG signal. The other novel parameters viz correntropy, centered correntropy (CCE) and correntropy coefficient assess the nonlinearity of EEG signal and forms the basis for classification. The study has been done on the freely accessible Bonn University EEG database and outperforms in terms of complexity. When contrasted to the existing state-of-the-art methods, 100% accuracy has been achieved in discriminating seizure, seizure-free signals, and non-seizure EEG signals using Random Forest Classifier. Moreover, the computation of the proposed features is fast, and the system is easy to implement.
Keywords:
    TQWT entropy correntropy correntropy coefficients seizures
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(2021). TUNABLE-Q WAVELET TRANSFORM BASED ENTROPY MEASURES FOR IDENTIFICATION OF EPILEPTIC SEIZURES. European Journal of Molecular & Clinical Medicine, 7(11), 4702-4717.
Nazia Parveen; Syed Hasan Saeed. "TUNABLE-Q WAVELET TRANSFORM BASED ENTROPY MEASURES FOR IDENTIFICATION OF EPILEPTIC SEIZURES". European Journal of Molecular & Clinical Medicine, 7, 11, 2021, 4702-4717.
(2021). 'TUNABLE-Q WAVELET TRANSFORM BASED ENTROPY MEASURES FOR IDENTIFICATION OF EPILEPTIC SEIZURES', European Journal of Molecular & Clinical Medicine, 7(11), pp. 4702-4717.
TUNABLE-Q WAVELET TRANSFORM BASED ENTROPY MEASURES FOR IDENTIFICATION OF EPILEPTIC SEIZURES. European Journal of Molecular & Clinical Medicine, 2021; 7(11): 4702-4717.
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