Entropy Based PAPR Reduction for STTC System Utilized for Classification of Epilepsy from EEG Signals Using PSD and SVM

Author:

Prabhakar S. K.,Rajaguru H.

Publisher

Springer Singapore

Reference7 articles.

1. Tzallas AT, Tsipouras MG & Fotiadis DI (2009), ‘Epileptic seizure detection in EEGs using time-frequency analysis’, IEEE Trans. on Inf. Tech. in Biomed., vol. 13, pp. 703-710.

2. R.Harikumar, P.Sunil Kumar, “Frequency behaviors of electroencephalography signals in epileptic patients from a wavelet Thresholding perspective”, Applied Mathematical Sciences, Vol. 9, 2015, no.50, 2451-2457

3. F.Vernotte, “Estimation of the Power Spectral Density of phase: comparison of three methods, “Proceedings of the 1999 Joint Meeting of the European Frequency and Time Forum, vol.2, pg:1109-1112, 1999

4. Harikumar Rajaguru, Sunil Kumar Prabhakar, “ Clinical Health Care for Long Distance using Matrix Factorization and Mahalanobis Based Sparse Representation Measures for Epilepsy Classification from EEG Signals”, International Journal of Pharmaceutical Sciences Review and Research, Vol.38(1), May-June 2016, Article 24, Pages:144-148

5. Sunil Kumar Prabhakar, Harikumar Rajaguru, “Factorization and Particle Swarm Based Sparse Representation Classifier for Epilepsy Classification Implemented for Wireless Telemedicine Applications”, IFBME Proceedings (Springer), 6th International Conference on the Development of Biomedical Engineering, pp: 474-478

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