QuPWM: Feature Extraction Method for MEG Epileptic Spike Detection

Published: 29 January 2019| Version 1 | DOI: 10.17632/n9snfr7m59.1
Abderrazak Chahid, Fahad Albalawi, Turky Alotaiby, Saleh Alshebeil, Taous-Meriem Laleg Kirati


The used data set are already quantized frames extracted using frame length = 100 sample and step=2 sample from three MEG session of two healthy patient (E001 and E002) and three MEG session of two epileptic patient (C001 and C002). These signal are licensed to National Neural Institute- King Fahad Medical City (NNI-KFMC), Riyadh, Saudi Arabia. This data was conducted in accordance with the approval of the Institutional Review Board at KFMC (IRB log number: 15-086, 2015). For more information, Please contact professor Saleh Alshebeili at : dsaleh@ksu.edu.sa


Steps to reproduce

The multi-channel MEG signals. from healthy and epileptic patients, are segmented into frames using sliding frames, where a sliding segment of size 100 sample points with step=2 samples


King Abdullah University of Science and Technology


Magnetoencephalography, Quantization