Formulation of a Novel Classification Indices for Classification of Human Hearing Abilities According to Cortical Auditory Event Potential signals

Author:

Ibrahim Ibrahim AmerORCID,Ting Hua-Nong,Moghavvemi Mahmoud

Funder

University of Malaya

Publisher

Springer Science and Business Media LLC

Subject

Multidisciplinary

Reference60 articles.

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3. Rahman, M.A.; Ma, W.; Tran, D.; Campbell, J.: A comprehensive survey of the feature extraction methods in the EEG research. In: Xiang, Y., Stojmenovic, I., Apduhan, B.O., Wang, G., Nakano, K., Zomaya, A. (eds.) Algorithms and Architectures for Parallel Processing. ICA3PP 2012, Lecture Notes in Computer Science, vol. 7440, pp. 274–283. Springer, Berlin, Heidelberg (2012)

4. Zhang, Y.; Zhang, Y.; Wang, J.; Zheng, X.: Comparison of classification methods on EEG signals based on wavelet packet decomposition. Neural Comput. Appl. 26, 1–9 (2015)

5. Wu, L., Neskovic, P.: Feature extraction for EEG classification: representing electrode outputs as a Markov stochastic process. In: ESANN, pp. 567–572 (2007)

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