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.
Epileptogenic zone localization using magnetoencephalography predicts seizure freedom in epilepsy surgery
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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.