Data from: Optimizing the detection of wakeful and sleep-like states for future electrocorticographic brain computer interface applications

Mrinal Pahwa, Matthew Kusner, Carl D. Hacker, David T. Bundy, Kilian Q. Weinberger & Eric C. Leuthardt
Previous studies suggest stable and robust control of a brain-computer interface (BCI) can be achieved using electrocorticography (ECoG). Translation of this technology from the laboratory to the real world requires additional methods that allow users operate their ECoG-based BCI autonomously. In such an environment, users must be able to perform all tasks currently performed by the experimenter, including manually switching the BCI system on/off. Although a simple task, it can be challenging for target users...
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