Browsing Computer Science & Engineering by Subject "K-nearest neighbors"
Now showing items 1-2 of 2
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Effective seizure detection through the fusion of single-feature enhanced-k-NN classifiers of EEG signals
( IEEE , 2013 , Conference Paper)Electroencephalogram (EEG) physiological signals are widely used for detecting epileptic seizure. To reduce complexity stemming from the dimensionality problem, EEG signals are often reduced into a smaller set of discriminant ... -
Evidence theory-based approach for epileptic seizure detection using EEG signals
( IEEE , 2012 , Conference Paper)Electroencephalogram (EEG) is one of the potential physiological signals used for detecting epileptic seizure. Discriminant features, representing different brain conditions, are often extracted for diagnosis purposes. ...