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- Title
Detecting Epileptic Seizure from Scalp EEG Using Lyapunov Spectrum.
- Authors
Truong Quang Dang Khoa; Nguyen ThiMinh Huong; Vo Van Toi
- Abstract
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.
- Subjects
DIAGNOSIS of epilepsy; ELECTROENCEPHALOGRAPHY; LYAPUNOV stability; SIGNAL-to-noise ratio; PREDICTION models; ROBUST control
- Publication
Computational & Mathematical Methods in Medicine, 2012, p1
- ISSN
1748-670X
- Publication type
Article
- DOI
10.1155/2012/847686