Group differences in time-frequency relevant patterns for user-independent BCI applications
-
L. F. Velasquez-Martinez ; F. Zapata-Castaño ; J. Padilla-Buritica ; José Manuel Ferrández Vicente [1] ; G. Castellanos-Dominguez
-
[1] Universidad Politécnica de Cartagena
Universidad Politécnica de Cartagena
Cartagena, España
-
- Localización: Understanding the Brain Function and Emotions: 8th International Work-Conference on the Interplay Between Natural and Artificial Computation, IWINAC 2019 Almería, Spain, June 3–7, 2019 Proceedings, Part I / José Manuel Ferrández Vicente (dir. congr.), José Ramón Álvarez Sánchez (dir. congr.), Félix de la Paz López (dir. congr.), Francisco Javier Toledo Moreo (dir. congr.), Hojjat Adeli (dir. congr.), 2019, ISBN 978-3-030-19591-5, págs. 138-145
- Idioma: inglés
- Texto completo no disponible (Saber más ...)
-
Resumen
We present a comparison of two known methodologies forgroup analysis in EEG signals, which are the analysis by Group ICAon 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. Inaddition, 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, conservingspatial zones with more meaningful physiological interpretation
