Selection of a subset of EEG channels of epileptic patient during seizure using PCA
One of the major roles of electroencephalography (EEG) is as an aid to diagnose epilepsy. Abnormal patterns such as spikes, sharp waves and, spikes and wave complexes can be seen. Our main interest is to extract information about the dynamics from a few observations of this recorded signal. In this...
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| Format: | Book Section |
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World Scientific And Engineering Acad And Soc
2008
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| _version_ | 1796855150554382336 |
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| author | Ahmad, Tahir Fairuz, Raja Ahmad Zakaria, Fauziah Isa, Herman |
| author_facet | Ahmad, Tahir Fairuz, Raja Ahmad Zakaria, Fauziah Isa, Herman |
| author_sort | Ahmad, Tahir |
| collection | ePrints |
| description | One of the major roles of electroencephalography (EEG) is as an aid to diagnose epilepsy. Abnormal patterns such as spikes, sharp waves and, spikes and wave complexes can be seen. Our main interest is to extract information about the dynamics from a few observations of this recorded signal. In this paper, The Principal Component Analysis (PCA) is used in choosing a subset of EEG channels during epileptic seizure. Results from the selection is then compared to the results of clustering on the EEG data obtained from the respective patients. Finally we obtained signature of general epilepsy by superimposing results of the two methods. |
| first_indexed | 2024-03-05T18:24:25Z |
| format | Book Section |
| id | utm.eprints-12866 |
| institution | Universiti Teknologi Malaysia - ePrints |
| last_indexed | 2024-03-05T18:24:25Z |
| publishDate | 2008 |
| publisher | World Scientific And Engineering Acad And Soc |
| record_format | dspace |
| spelling | utm.eprints-128662011-07-05T01:12:20Z http://eprints.utm.my/12866/ Selection of a subset of EEG channels of epileptic patient during seizure using PCA Ahmad, Tahir Fairuz, Raja Ahmad Zakaria, Fauziah Isa, Herman QA75 Electronic computers. Computer science One of the major roles of electroencephalography (EEG) is as an aid to diagnose epilepsy. Abnormal patterns such as spikes, sharp waves and, spikes and wave complexes can be seen. Our main interest is to extract information about the dynamics from a few observations of this recorded signal. In this paper, The Principal Component Analysis (PCA) is used in choosing a subset of EEG channels during epileptic seizure. Results from the selection is then compared to the results of clustering on the EEG data obtained from the respective patients. Finally we obtained signature of general epilepsy by superimposing results of the two methods. World Scientific And Engineering Acad And Soc 2008 Book Section PeerReviewed Ahmad, Tahir and Fairuz, Raja Ahmad and Zakaria, Fauziah and Isa, Herman (2008) Selection of a subset of EEG channels of epileptic patient during seizure using PCA. In: Proceedings Of The 7Th Wseas International Conference On Signal Processing, Robotics And Automation: Advanced Topics On Signal Processing, Robotics And Automation. World Scientific And Engineering Acad And Soc, Athens, Grece, pp. 270-273. ISBN 978-960-6766-44-2 |
| spellingShingle | QA75 Electronic computers. Computer science Ahmad, Tahir Fairuz, Raja Ahmad Zakaria, Fauziah Isa, Herman Selection of a subset of EEG channels of epileptic patient during seizure using PCA |
| title | Selection of a subset of EEG channels of epileptic patient during seizure using PCA |
| title_full | Selection of a subset of EEG channels of epileptic patient during seizure using PCA |
| title_fullStr | Selection of a subset of EEG channels of epileptic patient during seizure using PCA |
| title_full_unstemmed | Selection of a subset of EEG channels of epileptic patient during seizure using PCA |
| title_short | Selection of a subset of EEG channels of epileptic patient during seizure using PCA |
| title_sort | selection of a subset of eeg channels of epileptic patient during seizure using pca |
| topic | QA75 Electronic computers. Computer science |
| work_keys_str_mv | AT ahmadtahir selectionofasubsetofeegchannelsofepilepticpatientduringseizureusingpca AT fairuzrajaahmad selectionofasubsetofeegchannelsofepilepticpatientduringseizureusingpca AT zakariafauziah selectionofasubsetofeegchannelsofepilepticpatientduringseizureusingpca AT isaherman selectionofasubsetofeegchannelsofepilepticpatientduringseizureusingpca |