Abstract
Electroencephalography (EEG) is the recording of electrical activity along the scalp produced by the firing of neurons within the brain. The main application of EEG is in the case of epilepsy, as epileptic activity can create clear abnormalities on a standard EEG study. EEG signals, like many biomedical signals, are highly non-stationary by their nature. Wavelet analysis has found a prominent position in the investigation of biomedical signals for its ability to analyze such signals, in particular EEG signals. Wavelet transform is capable of separating the signal energy among different frequency bands (i.e., different scales), achieving a good compromise between temporal and frequency resolution. The present study is an attempt at better understanding of the mechanism causing the epileptic disorder and accurate prediction of the occurrence of seizures. In the present paper we identify typical patterns of energy redistribution before and during a seizure using multi-resolution wavelet analysis.
Keywords
Publication details
- DOI
- 10.24200/squjs.vol17iss2pp232-244
- Journal
- Sultan Qaboos University Journal for Science, 17(2), 232
- Publisher
- Sultan Qaboos University
- Open access
- Gold open access
- License
- CC BY 4.0
Cite this article
APA 7
Siddiqi, A. H., & Sevi̇ndi̇r, H. K. (2012). A Wavelet-based Energetic Approach for the Analysis of Electroencephalogram. Sultan Qaboos University Journal for Science, 17(2), 232. https://doi.org/10.24200/squjs.vol17iss2pp232-244
MLA 9
Siddiqi, Abul Hasan, and Hülya Kodal Sevi̇ndi̇r. "A Wavelet-based Energetic Approach for the Analysis of Electroencephalogram." Sultan Qaboos University Journal for Science, vol. 17, no. 2, 2012, pp. 232. https://doi.org/10.24200/squjs.vol17iss2pp232-244.
Chicago (author–date)
Siddiqi, Abul Hasan, and Hülya Kodal Sevi̇ndi̇r. 2012. "A Wavelet-based Energetic Approach for the Analysis of Electroencephalogram." Sultan Qaboos University Journal for Science 17 (2): 232. https://doi.org/10.24200/squjs.vol17iss2pp232-244.
Harvard
Siddiqi, A. H. and Sevi̇ndi̇r, H. K. (2012) 'A Wavelet-based Energetic Approach for the Analysis of Electroencephalogram', Sultan Qaboos University Journal for Science, 17(2), pp. 232. doi:10.24200/squjs.vol17iss2pp232-244.
Vancouver
Siddiqi AH, Sevi̇ndi̇r HK. A Wavelet-based Energetic Approach for the Analysis of Electroencephalogram. Sultan Qaboos University Journal for Science. 2012;17(2):232. doi:10.24200/squjs.vol17iss2pp232-244
IEEE
A. H. Siddiqi, and H. K. Sevi̇ndi̇r, "A Wavelet-based Energetic Approach for the Analysis of Electroencephalogram," Sultan Qaboos University Journal for Science, vol. 17, no. 2, pp. 232, 2012, doi: 10.24200/squjs.vol17iss2pp232-244.