Standards and tools for large-scale EEG analysis
The goal of the BigEEG Consortium™ is to promote and facilitate large-scale analysis (e.g. meta-study) of EEG and other data modalities related to real-world neuroimaging. This is implemented through developing standards and tools for event tagging and meta-data encapsulation, along with providing publicly available standardized data. Click on the image below to see a clickable map of BigEEG Workflow:
Standards and Tools
Currently, there are two major standards being promoted by the consortium:
Hierarchical Event Descriptor (HED) tags
For describing experimental and real-world events. For more information please visit www.hedtags.org
EEG Experiment Schema (ESS)
For encapsulating EEG study meta-data. For more information please visit www.eegstudy.org
For list of studies currently available in ESS format please visit: www.studycatalog.org
In addition to these, we have released a standard EEG pre-processing toolbox for noisy channel detection and robust referencing, called PREP: http://vislab.github.io/EEG-Clean-Tools/
The BigEEG Consortium™ is a collaborative effort of the following institutions.
- Intheon Labs
- University of Texas at San Antonio
- Swartz Center for Computational Neuroscience, University of California, San Diego
BigEEG development is supported by The Cognition and Neuroergonomics Collaborative Technology Alliance (CaN CTA) program of the U.S Army Research Laboratory (ARL).