Feature selection and classifier parameters estimation for EEG signals peak detection using particle swarm optimization.
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| Title: | Feature selection and classifier parameters estimation for EEG signals peak detection using particle swarm optimization. |
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| Authors: | Adam A; Applied Control and Robotics (ACR) Laboratory, Department of Electrical Engineering, Faculty of Engineering, University of Malaya, 50603 Kuala Lumpur, Malaysia., Shapiai MI; Faculty of Electrical Engineering, Universiti Teknologi Malaysia, 81310 Johor Bahru, Malaysia., Tumari MZ; Faculty of Electrical and Electronic Engineering, Universiti Malaysia Pahang, 26600 Pekan, Pahang, Malaysia., Mohamad MS; Faculty of Computing, Universiti Teknologi Malaysia, 81310 Johor Bahru, Malaysia., Mubin M; Applied Control and Robotics (ACR) Laboratory, Department of Electrical Engineering, Faculty of Engineering, University of Malaya, 50603 Kuala Lumpur, Malaysia. |
| Source: | TheScientificWorldJournal [ScientificWorldJournal] 2014; Vol. 2014, pp. 973063. Date of Electronic Publication: 2014 Aug 19. |
| Publication Type: | Journal Article; Research Support, Non-U.S. Gov't |
| Journal Info: | Publisher: Wiley Country of Publication: United States NLM ID: 101131163 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1537-744X (Electronic) Linking ISSN: 1537744X NLM ISO Abbreviation: ScientificWorldJournal Subsets: MEDLINE |
| Database: | MEDLINE Ultimate |
| ISSN: | 1537-744X |
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| DOI: | 10.1155/2014/973063 |
