Documento de conferencia

Group Differences in Time-Frequency Relevant Patterns for User-Independent BCI Applications

Book Series cp
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
  • Volumen: 11486 LNCS
  • Fecha: 01 enero 2019
  • Páginas: 138-145
  • ISSN: 16113349 03029743
  • ISBN: 9783030195908
  • Tipo de fuente: Serie de libros
  • DOI: 10.1007/978-3-030-19591-5_15
  • Tipo de documento: Documento de conferencia
  • Editorial: Springer
© 2019, Springer Nature Switzerland AG.We present a comparison of two known methodologies for group analysis in EEG signals, which are the analysis by Group ICA on synchronization and desynchronization ERS/ERD, and brain connectivity analysis by measuring wPLI, both analyzes based on the brain synchronization information. For comparison, we have taken into account different frequency bands related to sensorimotor stimuli and time segmentation in order to overcome the nonstationarity of the EEG signal. In addition, we have used a threshold algorithm to reduce the dimension of the connectivity matrix, conserving the connections that are most important for both methodologies. The results obtained from the BCI competition IV-2a database show that the variable can be measured between two different measurement spaces, using the Euclidean distance, conserving spatial zones with more meaningful physiological interpretation.

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