Chaos based nonlinear analysis of epileptic seizure

Sahu, R.; Parija, T.; Mohapatra, B.; Rout, B.; Sahu, S.; Panda, Rajanikant; Pal, P.; Gandhi, T.

doi:10.1109/ICETET.2010.111

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Chaos based nonlinear analysis of epileptic seizure

Sahu, R.; Parija, T.; Mohapatra, B. et al.

2010 • In Proceedings - 3rd International Conference on Emerging Trends in Engineering and Technology, ICETET 2010

Peer reviewed

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https://hdl.handle.net/2268/299094

DOI
10.1109/ICETET.2010.111

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Keywords :

Capacity dimension; Chaos theory; Correlation dimension; DDES; Electro-physiological signal; Lyapunov exponent; Physiological signals; Artificial Intelligence; Control and Systems Engineering; Electrical and Electronic Engineering

Abstract :

[en] Feature extraction and classification of electro-physiological signals is an important issue in development of disease diagnostic expert system (DDES). In this paper we propose a method based on chaos methodology for EEG signal classification. The nonlinear dynamics of original EEGs are quantified in the form of entropy, largest Lyapunov exponent (LLE), correlation dimension (CD), capacity dimension (CAD) and were considered for discrimination of various categories of EEG signals. After calculating the above mentioned parameters for signals, we found that without going for rigorous time-frequency domain analysis, only chaos based parameters is also suitable to classify various EEG signals. © 2010 IEEE.

Disciplines :

Neurology

Author, co-author :

Sahu, R.; Biomedical Engg., MIET, BBSR, Orissa, India

Parija, T.; Biomedical Engg., MIET, BBSR, Orissa, India

Mohapatra, B.; Biomedical Engg., MIET, BBSR, Orissa, India

Rout, B.; Biomedical Engg., MIET, BBSR, Orissa, India

Sahu, S.; Biomedical Engg., TAT, BBSR, Orissa, India

Panda, Rajanikant ; Université de Liège - ULiège > GIGA > GIGA Consciousness - Coma Science Group ; Biomedical Engg., TAT, BBSR, Orissa, India

Pal, P.; Biomedical Engg., NIT, Raipur, India

Gandhi, T.; Biomedical Engg., AIIMS, New Delhi, India

Language :

English

Title :

Chaos based nonlinear analysis of epileptic seizure

Publication date :

December 2010

Event name :

2010 3rd International Conference on Emerging Trends in Engineering and Technology

Event place :

Ind

Event date :

19-11-2010 => 21-11-2010

By request :

Yes

Audience :

International

Main work title :

Proceedings - 3rd International Conference on Emerging Trends in Engineering and Technology, ICETET 2010

Publisher :

IEEE

ISBN/EAN :

978-0-7695-4246-1

Peer reviewed :

Peer reviewed

Additional URL :

http://xplorestaging.ieee.org/ielx5/5696799/5698278/05698395.pdf?arnumber=5698395

Available on ORBi :

since 18 January 2023

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Bibliography

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