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A study on fuzzy C-means clustering-based systems in automatic spike detection.

Z Hilal Inan·Mehmet Kuntalp
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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.

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AlgorithmsCluster AnalysisElectroencephalographyFuzzy LogicHumansSensitivity and SpecificityComparative StudyEvaluation StudyJournal Article

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Z Hilal Inan, Mehmet Kuntalp. 2006-12-04. A study on fuzzy C-means clustering-based systems in automatic spike detection.. https://doi.org/10.1016/j.compbiomed.2006.10.010

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