Now showing items 1-12 of 12

    • Alterations in EEG connectivity in healthy young adults provide an indicator of sleep depth 

      Migliorelli Falcone, Carolina Mercedes; Bachiller Matarranz, Alejandro; Andrade, Andreia G.; Alonso López, Joan Francesc; Mañanas Villanueva, Miguel Ángel; Borja Mallach, Cristina; Romero Lafuente, Sergio (2019-06-11)
      Article
      Open Access
      Current sleep analyses have used electroencephalography (EEG) to establish sleep intensity through linear and nonlinear measures. Slow wave activity (SWA) and entropy are the most commonly used markers of sleep depth. The ...
    • Automated detection of epileptic ripples in MEG using beamformer-based virtual sensors 

      Migliorelli Falcone, Carolina Mercedes; Alonso López, Joan Francesc; Romero Lafuente, Sergio; Nowak, Rafal; Russi Tintoré, Antonio; Mañanas Villanueva, Miguel Ángel (2017-08-01)
      Article
      Open Access
      Objective. In epilepsy, high-frequency oscillations (HFOs) are expressively linked to the seizure onset zone (SOZ). The detection of HFOs in the noninvasive signals from scalp electroencephalography (EEG) and magnetoence ...
    • Automatic BSS-based filtering of metallic interference in MEG recordings: definition and validation using simulated signals 

      Migliorelli Falcone, Carolina Mercedes; Alonso López, Joan Francesc; Romero Lafuente, Sergio; Mañanas Villanueva, Miguel Ángel; Nowak, Rafal; Russi Tintoré, Antonio (2015-05-27)
      Article
      Open Access
      Objective. One of the principal drawbacks of magnetoencephalography (MEG) is its high sensitivity to metallic artifacts, which come from implanted intracranial electrodes and dental ferromagnetic prosthesis and produce a ...
    • Choosing strategies to deal with artifactual eeg data in children with cognitive impairment 

      Tost Abadías, Ana; Migliorelli Falcone, Carolina Mercedes; Bachiller Matarranz, Alejandro; Medina Rivera, Inés; Romero Lafuente, Sergio; García Cazorla, Àngels; Mañanas Villanueva, Miguel Ángel (2021-08-11)
      Article
      Open Access
      Rett syndrome is a disease that involves acute cognitive impairment and, consequently, a complex and varied symptomatology. This study evaluates the EEG signals of twenty-nine patients and classify them according to the ...
    • Choosing strategies to deal with artifactual EEG data in children with cognitive impairment 

      Tost Abadías, Ana; Migliorelli Falcone, Carolina Mercedes; Bachiller Matarranz, Alejandro; Romero Lafuente, Sergio; Mañanas Villanueva, Miguel Ángel; García Cazorla, Àngels (2020)
      Conference lecture
      Open Access
      Rett syndrome is a disease that involves acute cognitive impairment and, consequently, a complex and varied symptomatology. This study evaluates the EEG signals of twenty-nine patients in order to implement an effective ...
    • 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, 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 ...
    • Identificación de contracciones isométricas de la extremidad superior en pacientes con lesión medular incompleta mediante características espectrales de la electromiografía de alta densidad (HD-EMG) 

      Jordanic, Mislav; Rojas Martínez, Mónica; Alonso López, Joan Francesc; Migliorelli Falcone, Carolina Mercedes; Mañanas Villanueva, Miguel Ángel (Universidad de Oviedo, 2017)
      Conference report
      Restricted access - publisher's policy
    • Influence of metallic artifact filtering on MEG signals for source localization during interictal epileptiform activity 

      Migliorelli Falcone, Carolina Mercedes; Alonso López, Joan Francesc; Romero Lafuente, Sergio; Mañanas Villanueva, Miguel Ángel; Nowak, Rafal; Russi Tintoré, Antonio (2016-03-02)
      Article
      Open Access
      Objective. Medical intractable epilepsy is a common condition that affects 40% of epileptic patients that generally have to undergo resective surgery. Magnetoencephalography (MEG) has been increasingly used to identify the ...
    • Methods for noninvasive localization of focal epileptic activity with magnetoencephalography 

      Migliorelli Falcone, Carolina Mercedes (Universitat Politècnica de Catalunya, 2017-06-28)
      Doctoral thesis
      Open Access
      Magnetoencephalography (MEG) is a noninvasive brain signal acquisition technique that provides excellent temporal resolution and a whole-head coverage allowing the spatial mapping of sources. These characteristics make MEG ...
    • Reduction of metallic interference in MEG signals using AMUSE 

      Migliorelli Falcone, Carolina Mercedes; Romero Lafuente, Sergio; Alonso López, Joan Francesc; Nowak, Rafal; Russi Tintoré, Antonio; Mañanas Villanueva, Miguel Ángel (2013)
      Conference lecture
      Restricted access - publisher's policy
      Magnetoencephalography is a technique that can noninvasively measure the brain signal. There are many advantages of using this technique rather than similar procedures such as the EEG for the evaluation of medical diseases. ...
    • 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 ...
    • Sistema de medida de potenciales evocados. Industrialización del bloque emisor 

      Migliorelli Falcone, Carolina Mercedes; Solé, Regina (Universitat Politècnica de Catalunya, 2009-06)
      Master thesis (pre-Bologna period)
      Restricted access - author's decision
      Covenantee:   Laboratori d'Aplicacions Bioacústiques
      Este proyecto tiene como objetivo llevar a cabo la industrialización del bloque emisor de un sistema de medida de potenciales evocados. Partiendo de un prototipo anterior, se procederá a rediseñar y simular los circuitos ...