Not provided
| ID | Type | Description | Link |
|---|---|---|---|
| R21HD054913 | U.S. NIH Grant/Contract | View source |
Not provided
Not provided
Not provided
Insufficient improvement in primary measures under either condition.
Not provided
Not provided
Not provided
Not provided
Not provided
Not provided
Not provided
| Name | Class |
|---|---|
| Eunice Kennedy Shriver National Institute of Child Health and Human Development (NICHD) | NIH |
Not provided
Not provided
Not provided
Not provided
Not provided
Not provided
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.
Not provided
Not provided
Not provided
Not provided
Not provided
Not provided
| Label | Type | Description | Intervention Names |
|---|---|---|---|
| Mu Rhythm with adaptation | Experimental |
| |
| Mu Rhythm without adaptation | Experimental |
|
| Name | Type | Description | Arm Group Labels | Other Names |
|---|---|---|---|---|
| Brain computer Interface Mu (SMR) rhythm | Other | 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. |
| Measure | Description | Time Frame |
|---|---|---|
| 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. | 10 times over 5 weeks |
Not provided
Not provided
Inclusion Criteria:
Exclusion Criteria:
Not provided
Not provided
Not provided
Not provided
Not provided
Not provided
| Name | Affiliation | Role |
|---|---|---|
| Jane Huggins, PhD | University of Michigan | Principal Investigator |
| Facility | Status | City | State | ZIP | Country | Contacts |
|---|---|---|---|---|---|---|
| University of Michigan | Ann Arbor | Michigan | 48109 | United States |
Not provided
Not provided
Not provided
Not provided
Not provided