Real-time modeling and 3D visualization of source dynamics and connectivity using wearable EEG

Annu Int Conf IEEE Eng Med Biol Soc. 2013:2013:2184-7. doi: 10.1109/EMBC.2013.6609968.

Abstract

This report summarizes our recent efforts to deliver real-time data extraction, preprocessing, artifact rejection, source reconstruction, multivariate dynamical system analysis (including spectral Granger causality) and 3D visualization as well as classification within the open-source SIFT and BCILAB toolboxes. We report the application of such a pipeline to simulated data and real EEG data obtained from a novel wearable high-density (64-channel) dry EEG system.

Publication types

  • Research Support, N.I.H., Extramural
  • Research Support, Non-U.S. Gov't
  • Research Support, U.S. Gov't, Non-P.H.S.

MeSH terms

  • Artifacts
  • Brain / physiology
  • Brain-Computer Interfaces
  • Electroencephalography / instrumentation
  • Humans
  • Imaging, Three-Dimensional
  • Male
  • Monitoring, Ambulatory / instrumentation
  • Multivariate Analysis
  • Signal Processing, Computer-Assisted*
  • Software
  • Young Adult