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Epileptic EEG signal classification with marching pursuit based on harmony search method
Ist Teil von
2012 IEEE International Conference on Systems, Man, and Cybernetics (SMC), 2012, p.283-288
Ort / Verlag
IEEE
Erscheinungsjahr
2012
Quelle
IEEE/IET Electronic Library (IEL)
Beschreibungen/Notizen
In Epilepsy EEG signal classification, the main time-frequency features can be extracted by using sparse representation with marching pursuit (MP) algorithm. However, the computational burden is so heavy that it is almost impossible to apply MP to real time signal processing. To reduce complexity of sparse representation, we propose to adopt harmony search method in searching the best atoms. Because harmony search method can find the best atoms in continuous time-frequency dictionary, the performance of epilepsy EEG signal classification is enhanced. The validity of this method is proved by experimental results.