Abstract
A visualization methodology for the analysis of dynamic synchronization in electroencephalograph^ signals is presented here. The proposed method is based on a seeded region-growing segmentation of the time-frequency space in terms of spatial connectivity patterns, a process that can be fully automated by cleverly choosing the seeds. A Bayesian regularization technique is applied to further improve the results. Finally, preliminary results from the analysis of a high electrode-density dataset with 120 channels are shown. © Springer-Verlag Berlin Heidelberg 2008.
Cite
CITATION STYLE
Alba, A., & Arce-Santana, E. (2008). Visualization of dynamic connectivity in high electrode-density EEG. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 5358 LNCS, pp. 1040–1050). https://doi.org/10.1007/978-3-540-89639-5_99
Register to see more suggestions
Mendeley helps you to discover research relevant for your work.
