Efficient Wireless System for Telemedicine Application with Reduced PAPR Using QMF Based PTS Technique for Epilepsy Classification from EEG Signals

Author:

Prabhakar Sunil Kumar,Rajaguru Harikumar

Publisher

Springer International Publishing

Reference11 articles.

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

2. Harikumar Rajaguru, Sunil Kumar Prabhakar (2016), “ 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), Article 24, Pages:144-148

3. Sunil Kumar Prabhakar, Harikumar Rajaguru (2016), “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

4. F. Vernotte (1999), “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.

5. Q. Ding et al (2011), “A blind spectrum-sensing method based on Bartlett Decomposition”, 6th International ICST Conference on Communication and Networking in China (CHINACOM), pg:639-644.

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