Now showing items 1-2 of 2

    • Epileptic seizure prediction and onset zone localization using intracranial and scalp electroencephalographic and magnetoencephalographic signals 

      Marateb, Hamid Reza; Migliorelli Falcone, Carolina Mercedes; Bachiller Matarranz, Alejandro; Azimi, Tayebe; Nezhad, Farzad Ziaie; Mansourian Gharakozlou, Marjan; Alonso López, Joan Francesc; Aparicio, Javier; San Antonio Arce, María Victoria; Romero Lafuente, Sergio; Mañanas Villanueva, Miguel Ángel (Institute of Physics (IOP), 2020-09)
      Part of book or chapter of book
      Restricted access - publisher's policy
      In this chapter, we discuss how intracranial or scalp electroencephalographic and magnetoencephalographic recordings could be used for epileptic seizure prediction and onset zone localization. The signal processing methods ...
    • SGM: a novel time-frequency algorithm based on unsupervised learning improves high-frequency oscillation detection in epilepsy 

      Migliorelli Falcone, Carolina Mercedes; Bachiller Matarranz, Alejandro; Alonso López, Joan Francesc; Romero Lafuente, Sergio; Aparicio, Javier; Jacobs-Le Van, Julia; Mañanas Villanueva, Miguel Ángel; San Antonio-Arce, Victoria (2020-04-22)
      Article
      Open Access
      Objective. We propose a novel automated method called the S-Transform Gaussian Mixture detection algorithm (SGM) to detect high-frequency oscillations (HFO) combining the strengths of different families of previously ...