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Showing 1 to 3 of 3 for “"Common Spatial Patterns"”.

  1. Comparison and Development of Algorithms for Motor Imagery Classification in EEG- based Brain-Computer Interfaces

    … algorithms tested included the popular method of common spatial patterns (CSP) spatial filtering followed by linear discriminant analysis (LDA) classification of log-variance features (CSP+LDA). A second set of algorithms used classification based on concepts from Riemannian geometry. The basic …

    vt Repository record for Comparison and Development of Algorithms for Motor Imagery Classification in EEG- based Brain-Computer Interfaces (opens in a new tab)

  2. Task Relevant Source Based Brain Computer Interface: Exploration of Independent Component Analysis Based Spatial Filtering with Reliability

    … tasks requires identification of task-specific patterns of brain activity. During the visuomotor task, the subject encodes the visual information for a decision and then makes a motor action based on that decision. Here, a gradual change of the visual target can unmask the decision-making …

    buffalo Repository record for Task Relevant Source Based Brain Computer Interface: Exploration of Independent Component Analysis Based Spatial Filtering with Reliability (opens in a new tab)

  3. Computational Framework Enabling an EEG-based BCI for Neurofeedback in Language Disorders: The case of dyslexia

    … to the child EEG datasets to identify neural patterns associated with atypical speech processing and dyslexia in children. This statistical modelling was informed by the neuroscience of speech literature and the temporal sampling theory of dyslexia and two potential neural patterns to target …

    cambridge Repository record for Computational Framework Enabling an EEG-based BCI for Neurofeedback in Language Disorders: The case of dyslexia (opens in a new tab)