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
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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.
|Item Type:||Book Section|
|Additional Information:||ISBN: 978-960-6766-44-2; 7th WSEAS International Conference on Signal Processing, Robotics and Automation, Univ Cambridge, Cambridge, England, Feb 20-22, 2008|
|Uncontrolled Keywords:||EEG signal, epileptic patients, cluster, multiple correlation|
|Subjects:||Q Science > QA Mathematics > QA75 Electronic computers. Computer science|
|Deposited By:||Liza Porijo|
|Deposited On:||05 Jul 2011 01:12|
|Last Modified:||05 Jul 2011 01:12|
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