Optimal classification of epileptic seizures in EEG using wavelet analysis and genetic algorithm
DOI10.1016/J.SIGPRO.2008.01.026zbMATH Open1152.94324DBLPjournals/sigpro/Ocak08OpenAlexW2003411213WikidataQ62619214 ScholiaQ62619214MaRDI QIDQ953347
Publication date: 20 November 2008
Published in: Signal Processing (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1016/j.sigpro.2008.01.026
Nontrigonometric harmonic analysis involving wavelets and other special systems (42C40) Learning and adaptive systems in artificial intelligence (68T05) Application of orthogonal and other special functions (94A11)
Related Items (1)
Recommendations
- Wavelet analysis of generalized tonic-clonic epileptic seizures ๐ ๐
- Automated Identification of Epileptic Seizures from EEG Signals Using FBSE-EWT Method ๐ ๐
- Classification of Seizure in EEG Signals Based on KPCA and SVM ๐ ๐
- Seizure disorders recognition model from EEG signals using new probabilistic particle swarm optimizer and sequential differential evolution ๐ ๐
This page was built for publication: Optimal classification of epileptic seizures in EEG using wavelet analysis and genetic algorithm
Report a bug (only for logged in users!)Click here to report a bug for this page (MaRDI item Q953347)