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.
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
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  Data: <searchLink fieldCode="AU" term="%22Adam+A%22">Adam A</searchLink>; Applied Control and Robotics (ACR) Laboratory, Department of Electrical Engineering, Faculty of Engineering, University of Malaya, 50603 Kuala Lumpur, Malaysia.<br /><searchLink fieldCode="AU" term="%22Shapiai+MI%22">Shapiai MI</searchLink>; Faculty of Electrical Engineering, Universiti Teknologi Malaysia, 81310 Johor Bahru, Malaysia.<br /><searchLink fieldCode="AU" term="%22Tumari+MZ%22">Tumari MZ</searchLink>; Faculty of Electrical and Electronic Engineering, Universiti Malaysia Pahang, 26600 Pekan, Pahang, Malaysia.<br /><searchLink fieldCode="AU" term="%22Mohamad+MS%22">Mohamad MS</searchLink>; Faculty of Computing, Universiti Teknologi Malaysia, 81310 Johor Bahru, Malaysia.<br /><searchLink fieldCode="AU" term="%22Mubin+M%22">Mubin M</searchLink>; Applied Control and Robotics (ACR) Laboratory, Department of Electrical Engineering, Faculty of Engineering, University of Malaya, 50603 Kuala Lumpur, Malaysia.
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        Value: 10.1155/2014/973063
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