QuPWM applies quantized PWM features to MEG time series and classifies them with SVM, reporting up to 98% accuracy on a balanced set of 3104 samples from 16 subjects using 5-fold cross-validation.
Magnetoencephalography (MEG): Past, current and future perspectives for improved differentiation and treatment of epilepsies
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QuPWM: Feature Extraction Method for MEG Epileptic Spike Detection
QuPWM applies quantized PWM features to MEG time series and classifies them with SVM, reporting up to 98% accuracy on a balanced set of 3104 samples from 16 subjects using 5-fold cross-validation.