E-health Design with Spectral Analysis, Linear Layer Neural Networks and Adaboost Classifier for Epilepsy Classification from EEG Signals-Reference-Cited by-同舟云学术

E-health Design with Spectral Analysis, Linear Layer Neural Networks and Adaboost Classifier for Epilepsy Classification from EEG Signals

Published:2018 Issue: Volume: Page:634-640
ISSN:2212-9391
Container-title:Computational Vision and Bio Inspired Computing
language:
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Author:

Rajaguru Harikumar,Prabhakar Sunil Kumar

Publisher

Springer International Publishing

Link

http://link.springer.com/content/pdf/10.1007/978-3-319-71767-8_55

Reference16 articles.

1. Prabhakar, S.K., Rajaguru, H.: Analysis of centre tendency mode chaotic modeling for electroencephalography signals obtained from an epileptic patient. Adv. Stud. Theor. Phys. 9(4), 171–177 (HIKARI Ltd) (2015). http://dx.doi.org/10.12988/astp.2015.5117

2. Harikumar, R., Kumar, P.S.: Frequency behaviors of electroencephalography signals in epileptic patients from a wavelet Thresholding perspective. Appl. Math. Sci. 9(50), 2451–2457 (HIKARI Ltd) (2015). http://dx.doi.org/10.12988/ams.2015.52135

3. Harikumar, R., Kumar, P.S.: Dimensionality reduction techniques for processing epileptic encephalographic signals. Biomed. Pharmacol. J. 8(1), 103–106 (2015)

4. Harikumar, R., Kumar, P.S.: Dimensionality reduction with linear graph embedding technique for electroencephalography signals of an epileptic patient. Res. J. Pharm. Technol 8(5), 554–556 (2015)

5. Kaya, Y., Uyar, M., Tekin, R., Yıldırım, S.: 1D-local binary pattern based feature extraction for classification of epileptic EEG signals. Appl. Math. Comput. 243, 209–219 (2014)

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