Detection of epilepsy from EEG signal during seizure using entropy-based fuzzy C-means
One of the major roles of Electrocephalography (EEG) is an aid to diagnose epilepsy. Abnormal patterns such as spikes, sharp wave complexes can be seen. Our main interest is to extract information about the dynamics from a few observations of this record signal. In this study, the entropy-based fuzz...
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| Main Authors: | , , , |
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| Format: | Article |
| Published: |
Maxwell Scientific Organization
2012
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| Subjects: | |
| Online Access: | http://eprints.utm.my/id/eprint/33436/ http://maxwellsci.com/print/rjaset/v4-3588-3591.pdf |
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| Institution: | Universiti Teknologi Malaysia |
| Summary: | One of the major roles of Electrocephalography (EEG) is an aid to diagnose epilepsy. Abnormal patterns such as spikes, sharp wave complexes can be seen. Our main interest is to extract information about the dynamics from a few observations of this record signal. In this study, the entropy-based fuzzy c-Means is used to cluster EEG signal of patients during an epileptic seizure.We obtained signa tures of general epilepsy by superimposing results of the method. |
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