Sensorimotor (also know as mu) rhythm based brain-computer interfaces (BCIs) are a tool for controlling electronic devices using only brain signals. Often, the computer software that analyzes mu-rhythm brain signals constantly adapts to the individual user's brain signals when the training target location is known. The investigators want the BCIs to be more universal, and not depend on knowing the target location. Therefore, the investigators will test the effect removing adaptation has on accuracy of using a mu-rhythm BCI.
Study Type
INTERVENTIONAL
Allocation
RANDOMIZED
Purpose
BASIC_SCIENCE
Masking
TRIPLE
Enrollment
6
Subjects will wear an EEG cap for 1-2 hours typical per session and use the brain computer interface to operate assistive technology. Subjects will be asked to participate in 10 sessions.
University of Michigan
Ann Arbor, Michigan, United States
Accuracy of a mu rhythm BCI using adaptation versus no adaptation.
Accuracy with which subjects can select one of two targets after a 3-second time period. The accuracy for a run is calculated as the % of the trials in which the correct target is selected. The average accuracy will be calculated for each of the 10 usage sessions and changes over the sessions will be tracked.
Time frame: 10 times over 5 weeks
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