Applied Mathematical Sciences

Vol. 9, 2015, no. 50, 2451-2457

R. Harikumar, P. Sunil Kumar
      Frequency behaviours of electroencephalography signals in epileptic patients from a wavelet thresholding perspective
      Applied Mathematical Sciences, Vol. 9, 2015, no. 50, 2451-2457
      http://dx.doi.org/10.12988/ams.2015.52135

Copyright © 2015 R. Harikumar and P. Sunil Kumar. This article is distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Cited by (4):

Sunil Kumar Prabhakar and Harikumar Rajaguru, Efficient Wireless System for Telemedicine Application with Reduced PAPR Using QMF Based PTS Technique for Epilepsy Classification from EEG Signals, International Conference on Advancements of Medicine and Health Care through Technology, Springer, Cham, 2017, 313-316 [CrossRef]

Sunil Kumar Prabhakar and Harikumar Rajaguru, Development of Patient Remote Monitoring System for Epilepsy Classification, The 16th International Conference on Biomedical Engineering, Springer, Singapore, 2017, 80-87 [CrossRef]

Guanjin Wang, Zhaohong Deng and Kup-Sze Choi, Detection of epilepsy with Electroencephalogram using rule-based classifiers, Neurocomputing, 228 (2017), 283-290 [CrossRef]

Sunil Kumar Prabhakar and Harikumar Rajaguru, Entropy Based PAPR Reduction for STTC System Utilized for Classification of Epilepsy from EEG Signals Using PSD and SVM, International Conference on Movement, Health and Exercise, Springer, Singapore, 2016, 117-120 [CrossRef]