Dual-Tree Complex Wavelet Transform-Based Features for Automated Alcoholism Identification

Author:

Sharma Manish,Sharma Pragya,Pachori Ram Bilas,Acharya U. Rajendra

Publisher

Springer Science and Business Media LLC

Subject

Artificial Intelligence,Computational Theory and Mathematics,Theoretical Computer Science,Software

Reference66 articles.

1. Alchohol use disorder. http://www.mayoclinic.org/diseases-conditions/alcohol-use-disorder/basics/definition/con-20020866?reDate=29052017 . Accessed 29 May 2017

2. Abdelnour, A.F., Selesnick, I.W.: Nearly symmetric orthogonal wavelet bases. In: Proceedings of IEEE International Conference on Acoustics, Speech, Signal Processing (ICASSP), vol. 6 (2001)

3. Abdelnour, A.F., Selesnick, I.W.: Symmetric nearly orthogonal and orthogonal nearly symmetric wavelets. Arab. J. Sci. Eng. 29(2), 3–16 (2004)

4. Acharya, U.R., Bhat, P.S., Iyengar, S., Rao, A., Dua, S.: Classification of heart rate data using artificial neural network and fuzzy equivalence relation. Pattern Recognit. 36(1), 61–68 (2003). https://doi.org/10.1016/S0031-3203(02)00063-8

5. Acharya, U.R., Bhat, S., Adeli, H., Adeli, A., et al.: Computer-aided diagnosis of alcoholism-related EEG signals. Epilepsy Behav. 41, 257–263 (2014)

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