Details

Autor(en) / Beteiligte

• Ping Guo
• Jing Wang
• Gao, X. Z.
• Tanskanen, J. M. A.

Titel

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.