Combining Energy and Wavelet Transform for Epileptic Seizure Prediction in an Advanced Computational System
BioMedical Engineering and Informatics, International Conference on (2008)
May 27, 2008 to May 30, 2008
DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/BMEI.2008.276
Seizure prediction in epileptic patients will allow a deep improvement in their quality of life. In the paper a new method using energy relative measures in wavelet coefficients is proposed and tested in several patients. The results show the potential of the technique, but also its limitations, stressing the needs for further work in a larger number of patients, using multimodal information and an advanced database with a large features set to be used in seizure prediction An advanced computational framework is under development, using multisensorial information to build a large set of features to be used in a classification system supporting seizure prediction. This system is composed of two main parts the algorithms base and the database, briefly described.
wavelet, seizure prediction, computational system
A. Dourado, B. Direito, F. Sales and M. Vieira, "Combining Energy and Wavelet Transform for Epileptic Seizure Prediction in an Advanced Computational System," 2008 International Conference on Biomedical Engineering and Informatics (BMEI 2008)(BMEI), Sanya, 2008, pp. 380-385.