Ayman M. Mansour, Mohammad A Obeidat, Murad Al-Aqtash, "Data Mining Based Approach for Evaluation of EEG Signals for Epilepsy Detection," WSEAS Transactions on Biology and Biomedicine, vol. 17, pp. 48-57, 2020, DOI:10.37394/23208.2020.17.7
Ayman M. Mansour, Mohammad A Obeidat, Murad Al-Aqtash. Data Mining Based Approach for Evaluation of EEG Signals for Epilepsy Detection.
WSEAS Transactions on Biology and Biomedicine. 2020;17:48-57. 10.37394/23208.2020.17.7
WSEAS Transactions on Biology and Biomedicine
Print ISSN: 1109-9518, E-ISSN: 2224-2902
Volume 17, 2020
Data Mining Based Approach for Evaluation of EEG Signals for Epilepsy Detection
Authors: , ,
Abstract: The objective of this proposed research is to come up with a general methodology for classification of time series events, and to apply that methodology to the analysis of physiological signals recorded from epileptic patients for seizure analysis depending on EEG signal. In contrast to previous works, this research considered an alternative formulation of seizure analysis as a detection problem. This approach offers a good treatment of seizure detection.
Keywords:
Epilepsy, Standard Deviation, Entropy, Power Spectrum density, Discrete Time Wavelet Transform.
Pages: 48-57 WSEAS Transactions on Biology and Biomedicine, ISSN / E-ISSN: 1109-9518 / 2224-2902, Volume 17, 2020, Art. #7 DOI: 10.37394/23208.2020.17.7
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