Discrimination between Ictal and Seizure-Free EEG Signals Using Empirical Mode Decomposition
Author
Source
Research Letters in Signal Processing
Issue
Vol. 2008, Issue 2008 (31 Dec. 2008), pp.1-5, 5 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2009-01-20
Country of Publication
Egypt
No. of Pages
5
Main Subjects
Abstract EN
A new method for analysis of electroencephalogram (EEG) signals using empirical mode decomposition (EMD) and Fourier-Bessel (FB) expansion has been presented in this paper.
The EMD decomposes an EEG signal into a finite set of band-limited signals termed intrinsic mode functions (IMFs).
The mean frequency (MF) for each IMF has been computed using FB expansion.
The MF measure of the IMFs has been used as a feature in order to identify the difference between ictal and seizure-free intracranial EEG signals.
It has been shown that the MF feature of the IMFs has provided statistically significant difference between ictal and seizure-free EEG signals.
Simulation results are included to illustrate the effectiveness of the proposed method.
American Psychological Association (APA)
Pachori, Ram Bilas. 2009. Discrimination between Ictal and Seizure-Free EEG Signals Using Empirical Mode Decomposition. Research Letters in Signal Processing،Vol. 2008, no. 2008, pp.1-5.
https://search.emarefa.net/detail/BIM-461007
Modern Language Association (MLA)
Pachori, Ram Bilas. Discrimination between Ictal and Seizure-Free EEG Signals Using Empirical Mode Decomposition. Research Letters in Signal Processing No. 2008 (2008), pp.1-5.
https://search.emarefa.net/detail/BIM-461007
American Medical Association (AMA)
Pachori, Ram Bilas. Discrimination between Ictal and Seizure-Free EEG Signals Using Empirical Mode Decomposition. Research Letters in Signal Processing. 2009. Vol. 2008, no. 2008, pp.1-5.
https://search.emarefa.net/detail/BIM-461007
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-461007
