Classification of EEG signals for epileptic seizure evaluation

Pal, Pritish Ranjan; Panda, Rajanikant

doi:10.1109/TECHSYM.2010.5469195

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Classification of EEG signals for epileptic seizure evaluation

Pal, Pritish Ranjan; Panda, Rajanikant

2010 • In TechSym 2010 - Proceedings of the 2010 IEEE Students' Technology Symposium

Peer reviewed

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https://hdl.handle.net/2268/299096

DOI
10.1109/TECHSYM.2010.5469195

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Keywords :

DDES; Discriminatory feature; Electro-physiological signal; Kurtosis; Spectral edge frequency; Biosignals; Disease diagnostics; EEG classification; EEG signals; Epileptic seizures; Feature extraction and classification; Fourier; Physiological signals; SIMPLE method; Time frequency domain; Computer Science (all); Biomedical Engineering; Education

Abstract :

[en] Feature extraction and classification of biosignals is an important issue in development of disease diagnostic expert system (DDES). In this paper we propose a simple method for EEG classification based on Fourier features. Parameters like energy, entropy, power, and kurtosis were considered for discrimination of various categories of EEG signals. After calculating the above mentioned parameters of the discussed signals, we found that without going for rigorous time-frequency domain analysis, only frequency based analysis is well suitable to classify various EEG signals. © 2010 IEEE.

Disciplines :

Neurology

Author, co-author :

Pal, Pritish Ranjan; Department of Biomedical Engg., National Institute of Technology, Raipur, Chhattisgarh, India

Panda, Rajanikant ; Université de Liège - ULiège > GIGA > GIGA Consciousness - Coma Science Group ; Department of Biomedical Engg., Trident Academy of Technology, Bhubaneswar, Odisha, India

Language :

English

Title :

Classification of EEG signals for epileptic seizure evaluation

Publication date :

29 June 2010

Event name :

2010 IEEE Students Technology Symposium (TechSym)

Event place :

Ind

Event date :

03-04-2010 => 04-04-2010

By request :

Yes

Audience :

International

Main work title :

TechSym 2010 - Proceedings of the 2010 IEEE Students' Technology Symposium

Publisher :

IEEE

ISBN/EAN :

978-1-4244-5974-2

Peer reviewed :

Peer reviewed

Additional URL :

http://xplorestaging.ieee.org/ielx5/5461627/5469150/05469195.pdf?arnumber=5469195

Funders :

IIT Kharagpur

Funding text :

IEEE Student Branch; IEEE Kharagpur Section; UnitedHealth Group Information Services Pvt. Ltd.; IEEE Region 10 Education Activities Board

Available on ORBi :

since 18 January 2023

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Bibliography

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