Change point detection of EEG signals based on particle swarm optimization
This paper proposes a change point detection for electroencephalograms (EEG) signal application based on Particle Swarm Optimization (PSO). As EEG signal is well known consider as non-stationary in nature, we model the signal by using the sinusoidal-Heaviside function, which are capable to represent...
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2011
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| Online Access: | http://eprints.um.edu.my/9482/1/Change_Point_Detection_of_EEG_Signals_Based_on_Particle_Swarm_Optimization.pdf http://eprints.um.edu.my/9482/ https://doi.org/10.1007/978-3-642-21729-6_122 |
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my.um.eprints.94822019-11-15T06:02:59Z http://eprints.um.edu.my/9482/ Change point detection of EEG signals based on particle swarm optimization Mohamed Saaid, M.F. Wan Abas, Wan Abu Bakar Arof, Hamzah Mokhtar, N. Ramli, R. Ibrahim, Z. T Technology (General) TA Engineering (General). Civil engineering (General) This paper proposes a change point detection for electroencephalograms (EEG) signal application based on Particle Swarm Optimization (PSO). As EEG signal is well known consider as non-stationary in nature, we model the signal by using the sinusoidal-Heaviside function, which are capable to represent the change of the behavior of the signal. The parameter of the model with the change point location can be tuned by finding the minimum value of sum squared error. It was showed that the minimum value of sum squared error in the parameter tuning give the exact location of change point. The proposed method is applied to the human EEG during an eye moving task. 2011 Conference or Workshop Item PeerReviewed application/pdf en http://eprints.um.edu.my/9482/1/Change_Point_Detection_of_EEG_Signals_Based_on_Particle_Swarm_Optimization.pdf Mohamed Saaid, M.F. and Wan Abas, Wan Abu Bakar and Arof, Hamzah and Mokhtar, N. and Ramli, R. and Ibrahim, Z. (2011) Change point detection of EEG signals based on particle swarm optimization. In: 5th Kuala Lumpur International Conference on Biomedical Engineering, BIOMED 2011, Held in Conjunction with the 8th Asian Pacific Conference on Medical and Biological Engineering, APCMBE 2011, 2011, Kuala Lumpur. https://doi.org/10.1007/978-3-642-21729-6_122 |
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T Technology (General) TA Engineering (General). Civil engineering (General) Mohamed Saaid, M.F. Wan Abas, Wan Abu Bakar Arof, Hamzah Mokhtar, N. Ramli, R. Ibrahim, Z. Change point detection of EEG signals based on particle swarm optimization |
| description |
This paper proposes a change point detection for electroencephalograms (EEG) signal application based on Particle Swarm Optimization (PSO). As EEG signal is well known consider as non-stationary in nature, we model the signal by using the sinusoidal-Heaviside function, which are capable to represent the change of the behavior of the signal. The parameter of the model with the change point location can be tuned by finding the minimum value of sum squared error. It was showed that the minimum value of sum squared error in the parameter tuning give the exact location of change point. The proposed method is applied to the human EEG during an eye moving task. |
| format |
Conference or Workshop Item |
| author |
Mohamed Saaid, M.F. Wan Abas, Wan Abu Bakar Arof, Hamzah Mokhtar, N. Ramli, R. Ibrahim, Z. |
| author_facet |
Mohamed Saaid, M.F. Wan Abas, Wan Abu Bakar Arof, Hamzah Mokhtar, N. Ramli, R. Ibrahim, Z. |
| author_sort |
Mohamed Saaid, M.F. |
| title |
Change point detection of EEG signals based on particle swarm optimization |
| title_short |
Change point detection of EEG signals based on particle swarm optimization |
| title_full |
Change point detection of EEG signals based on particle swarm optimization |
| title_fullStr |
Change point detection of EEG signals based on particle swarm optimization |
| title_full_unstemmed |
Change point detection of EEG signals based on particle swarm optimization |
| title_sort |
change point detection of eeg signals based on particle swarm optimization |
| publishDate |
2011 |
| url |
http://eprints.um.edu.my/9482/1/Change_Point_Detection_of_EEG_Signals_Based_on_Particle_Swarm_Optimization.pdf http://eprints.um.edu.my/9482/ https://doi.org/10.1007/978-3-642-21729-6_122 |
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1651867354674495488 |
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13.211869 |