Analysis And Interpretation Of Electro-Encephalogram (EEG) Signals Under Various Physiological Conditions

Venkataraman, Lalitha (2010) Analysis And Interpretation Of Electro-Encephalogram (EEG) Signals Under Various Physiological Conditions. Masters thesis, University of Multimedia.

Full text not available from this repository.
Official URL: http://vlib.mmu.edu.my/diglib/login/dlusr/login.ph...

Abstract

This research study discusses the application of chaotic parameters such as correlation dimension, Lyapunov exponent and Hurst exponent for studying EEG signals under different physiological conditions. EEG data sets obtained under conditions such as 1. Normal 2. Epilepsy 3. Different anesthetic depth levels 4. Alcoholic and non-alcoholic state are considered and chaos features are extracted. The extracted features are then used to classify the different physiological conditions using artificial neural network based classifier.

Item Type: Thesis (Masters)
Subjects: R Medicine > RC Internal medicine > RC1200 Sports Medicine
Divisions: Faculty of Computing and Informatics (FCI)
Depositing User: Ms Suzilawati Abu Samah
Date Deposited: 18 Apr 2012 03:57
Last Modified: 18 Apr 2012 03:57
URI: http://shdl.mmu.edu.my/id/eprint/3509

Actions (login required)

View Item View Item