Sunil Kumar Prabhakar, Harikumar Rajaguru
      Analysis of centre tendency mode chaotic modeling for electroencephalography signals obtained from an epileptic patient
      Advanced Studies in Theoretical Physics, Vol. 9, 2015, no. 4, 171-177
      http://dx.doi.org/10.12988/astp.2015.5117

Copyright © 2015 Sunil Kumar Prabhakar and Harikumar Rajaguru. 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 (3):

Sunil Kumar Prabhakar and Harikumar Rajaguru, Expectation Maximization Based PCA and Hessian LLE with Suitable Post Classifiers for Epilepsy Classification from EEG Signals, International Conference on Soft Computing and Pattern Recognition, Springer, Cham, 2017, 364-374 [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]

Harikumar Rajaguru and Sunil Kumar Prabhakar, Assessment of Epilepsy Classification Using Techniques Such as Singular Value Decomposition, Approximate Entropy, and Weighted K-Nearest Neighbors Measures, Asian Journal of Pharmaceutical and Clinical Research, 9 (2016), no. 5, 91-96 [CrossRef]