University of Texas at El Paso
2 ARTICLES PUBLISHED IN JoVE
Biology
Using an EEG-Based Brain-Computer Interface for Virtual Cursor Movement with BCI2000
J. Adam Wilson 1, Gerwin Schalk 2, Léo M. Walton 1, Justin C. Williams 1
1Department of Biomedical Engineering, University of Wisconsin-Madison, 2Wadsworth Center, New York State Dept. of Health
In this video, we demonstrate the steps required to run a brain-computer interface experiment, including setting up the EEG cap, calibrating the system, and training the user to move a cursor in two dimensions using imagined movements.
Neuroscience
Recording Human Electrocorticographic (ECoG) Signals for Neuroscientific Research and Real-time Functional Cortical Mapping
N. Jeremy Hill 1, Disha Gupta 1,2, Peter Brunner 1,2, Aysegul Gunduz 1,2, Matthew A. Adamo 3, Anthony Ritaccio 2, Gerwin Schalk 1,2,4,5,6,7
1Wadsworth Center, New York State Department of Health, 2Department of Neurology, Albany Medical College, 3Department of Neurosurgery, Albany Medical College, 4Department of Neurosurgery, Washington University, 5Department of Biomed. Eng., Rensselaer Polytechnic Institute, 6Department of Biomed. Sci., State University of New York at Albany, 7Department of Elec. and Comp. Eng., University of Texas at El Paso
We present a method for collecting electrocorticographic signals for research purposes from humans who are undergoing invasive epilepsy monitoring. We show how to use the BCI2000 software platform for data collection, signal processing and stimulus presentation. Specifically, we demonstrate SIGFRIED, a BCI2000-based tool for real-time functional brain mapping.
