Now showing items 1-4 of 4

  • EEG Signal Classification: Introduction to the Problem 

    Šťastný, Jakub; Sovka, Pavel; Stancak, A. (Společnost pro radioelektronické inženýrství, 2003-09)
    The contribution describes the design, optimization and verification of the off-line single-trial movement classification system. Four types of movements are used for the classification: the right index finger extension ...
  • Exploiting Temporal Context in High-Resolution Movement-Related EEG Classification 

    Doležal, Jaromír; Šťastný, Jakub; Sovka, Pavel (Společnost pro radioelektronické inženýrství, 2011-09)
    The contribution presents an application of a movement-related EEG temporal development classification which improves the classification score of voluntary movements controlled by closely localized regions of the brain. A ...
  • ICA Model Order Estimation Using Clustering Method 

    Ruckay, L.; Šťastný, Jakub; Sovka, Pavel (Společnost pro radioelektronické inženýrství, 2007-12)
    In this paper a novel approach for independent component analysis (ICA) model order estimation of movement electroencephalogram (EEG) signals is described. The application is targeted to the brain-computer interface (BCI) ...
  • Overcoming Inter-Subject Variability in BCI Using EEG-Based Identification 

    Šťastný, Jakub; Sovka, Pavel; Kostilek, M. (Společnost pro radioelektronické inženýrství, 2014-04)
    The high dependency of the Brain Computer Interface (BCI) system performance on the BCI user is a well-known issue of many BCI devices. This contribution presents a new way to overcome this problem using a synergy between ...