Classification of seizure and seizure-free EEG signals using local binary patterns.
Biomedical Signal Processing and Control(2015)
摘要
•A novel method using 1D-LBPs and 1-NN classifier for classification of seizure and seizure-free EEG signals.•Bank of Gabor filters for decomposing EEG signal.•Three different schemes have been investigated for fusion of information.•Approach achieves the best 10-fold classification accuracy of 98.33%.
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关键词
1D-Local binary pattern,Epilepsy,Electroencephalogram (EEG) signals,Seizure and seizure-free EEG signals,Gabor filter bank,EEG signal classification
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