Epilepsy Recognition by Higher Order Spectra Analysis of EEG Signals-Reference-Cited by-同舟云学术

Epilepsy Recognition by Higher Order Spectra Analysis of EEG Signals

Published:2015 Issue: Volume: Page:5534-5541
ISSN:
Container-title:Encyclopedia of Information Science and Technology, Third Edition
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Author:

Hosseini Seyyed Abed¹

Affiliation:

1. Mashhad Branch, Islamic Azad University, Iran

Abstract

Publisher

IGI Global

Reference26 articles.

1. Abootalebi, V. (2000). Higher Order Spectra Study of EEG Signal to Assess Hypnotizability. (Master’s thesis). Sharif University of Technology, Tehran.

2. Andrzejak, R. G., Lehnertz, K., & Mormann, F. Rieke, C., David, P., & Elger, C. E. (2001). Indications of nonlinear deterministic and finite dimensional structures in time series of brain electrical activity: Dependence on recording region and brain state. Physical Review E, 64. Retrieved from http://epileptologie-bonn.de/cms/front_content.php?idcat=193&lang=3&changelang=3

3. The epileptic process as nonlinear deterministic dynamics in a stochastic environment: an evaluation on mesial temporal lobe epilepsy

4. Chang, C. C., & Lin, C. J. (2009). LIBSVM: a Library for Support Vector Machines. from http://www.csie.ntu.edu.tw/~cjlin/libsvm/.

5. Chua, K. C., Chandran, V., Rajendra, A., & Lim, C. M. (2007). Higher Order Spectral (HOS) Analysis of Epileptic EEG Signals. The 29th Annual IEEE International Conference Engineering in Medicine and Biology Society (EMBS), Lyon France, 6495-6498.

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