Detecting Epileptic Seizure from Scalp EEG Using Lyapunov Spectrum
Joint Authors
Thi Minh Huong, Nguyen
Toi, Vo Van
Khoa, Truong Quang Dang
Source
Computational and Mathematical Methods in Medicine
Issue
Vol. 2012, Issue 2012 (31 Dec. 2012), pp.1-11, 11 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2012-03-05
Country of Publication
Egypt
No. of Pages
11
Main Subjects
Abstract EN
One of the inherent weaknesses of the EEG signal processing is noises and artifacts.
To overcome it, some methods for prediction of epilepsy recently reported in the literature are based on the evaluation of chaotic behavior of intracranial electroencephalographic (EEG) recordings.
These methods reduced noises, but they were hazardous to patients.
In this study, we propose using Lyapunov spectrum to filter noise and detect epilepsy on scalp EEG signals only.
We determined that the Lyapunov spectrum can be considered as the most expected method to evaluate chaotic behavior of scalp EEG recordings and to be robust within noises.
Obtained results are compared to the independent component analysis (ICA) and largest Lyapunov exponent.
The results of detecting epilepsy are compared to diagnosis from medical doctors in case of typical general epilepsy.
American Psychological Association (APA)
Khoa, Truong Quang Dang& Thi Minh Huong, Nguyen& Toi, Vo Van. 2012. Detecting Epileptic Seizure from Scalp EEG Using Lyapunov Spectrum. Computational and Mathematical Methods in Medicine،Vol. 2012, no. 2012, pp.1-11.
https://search.emarefa.net/detail/BIM-502989
Modern Language Association (MLA)
Khoa, Truong Quang Dang…[et al.]. Detecting Epileptic Seizure from Scalp EEG Using Lyapunov Spectrum. Computational and Mathematical Methods in Medicine No. 2012 (2012), pp.1-11.
https://search.emarefa.net/detail/BIM-502989
American Medical Association (AMA)
Khoa, Truong Quang Dang& Thi Minh Huong, Nguyen& Toi, Vo Van. Detecting Epileptic Seizure from Scalp EEG Using Lyapunov Spectrum. Computational and Mathematical Methods in Medicine. 2012. Vol. 2012, no. 2012, pp.1-11.
https://search.emarefa.net/detail/BIM-502989
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-502989