Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
506053 | Computers in Biology and Medicine | 2007 | 7 Pages |
Abstract
In this study, different systems based on the fuzzy C-means (FCM) clustering algorithm are utilized for the detection of epileptic spikes in electroencephalogram (EEG) records. The systems are constructed as either single or two-stages. In contrast to single-stage systems, the two-stage system comprises a pre-classifier stage realized by a neural network. The FCM based two-stage system is also compared to a similar system implemented using the K-means clustering algorithm. The results imply that an FCM based two-stage system should be preferred as the spike detection system.
Related Topics
Physical Sciences and Engineering
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Computer Science Applications
Authors
Z. Hilal İnan, Mehmet Kuntalp,