Sensorimotor (also know as mu) rhythm based brain-computer interfaces (BCIs) are a tool for controlling electronic devices using only brain signals. The Mu rhythm is a naturally occuring wave produced by the brain. This research project will determine how to best train subjects to use the Mu rhythm for computer control.
As a method of BCI control, Mu rhythms are difficult to learn and involve extensive training. The investigators want to keep users motivated and determine the best way to provide effective training. Healthy users will be trained to control a computer by wearing an electrode cap that is connected to a computer. They will have their levels of motivation and interest measured while learning to use the Mu rhythm. Two different types of learning programs will be used to determine which is most effective for Mu rhythm training. This method will be used for device control by people with severe physical impairments, who may be able to communicate or carry out other desired tasks using a BCI.
Study Type
OBSERVATIONAL
Enrollment
7
Device: Brain Computer Interface Subjects will wear an EEG (electrode) cap for 1-4 hours (1-2 hours typical) per session and use the brain-computer interface to operate a computer. Subjects will be asked to participate in 4-20 sessions. Arms: Brain Computer Interface Keyboard
University of Michigan
Ann Arbor, Michigan, United States
Efficacy of Mu Rhythm Learning
The primary outcome measure is determining the best learning methods by which subjects can learn to use the Mu rhythm to hit targets on a computer screen.
Time frame: 20 sessions
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