Brain Computer Interface Control of a Robotic Device
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|ClinicalTrials.gov Identifier: NCT02069938|
Recruitment Status : Completed
First Posted : February 24, 2014
Last Update Posted : January 18, 2018
Noninvasive Brain-Computer Interfaces (BCIs) have been used to control a number of virtual and physical objects through the voluntary modulation of brain rhythms. Current issues with noninvasive BCIs include exhausting motor imagery tasks and long training times required to achieve competent control. The investigators will address these issues within this protocol, examining new approaches to reduce the effort required by subjects to control a physical object in the task.
The PI's hypothesis is: Control of a physical robotic device will increase the performance of subjects in BCI tasks that are analogous to virtual tasks due to greater engagement with a physical output.
|Condition or disease|
Subjects will be recruited to participate in controlling a physical robotic device such as a quadcopter or a robotic arm using imagination of movement or other activities as detected by brain waves that can be used to control a robotic device.
The subjects will be able to observe the controlling of a robotics device using one's thought and participate in multiple sessions to learn the skills to better control such a device.
|Study Type :||Observational|
|Actual Enrollment :||23 participants|
|Official Title:||Brain Computer Interface Control of a Robotic Device|
|Study Start Date :||March 2014|
|Actual Primary Completion Date :||March 13, 2016|
|Actual Study Completion Date :||March 13, 2016|
Noninvasive Brain Computer Interface Control
- Percent of trials correct within each session of Brain Computer Interface experiments. [ Time Frame: Session 1 through 10, within an average of 5 weeks. Each session separated by at least 24 hours. ]Accuracy and performance metrics of Brain-Computer Interface tasks over time. This will include the percent of trials correct, percent of trials completed, and time to completion within each session. Combining these metrics, we will examine subject learning over sessions with regression. Exact time frame of sessions will be determined by subject and equipment availability.
To learn more about this study, you or your doctor may contact the study research staff using the contact information provided by the sponsor.
Please refer to this study by its ClinicalTrials.gov identifier (NCT number): NCT02069938
|United States, Minnesota|
|Nils Hasselmo Hall at the University of Minnesota - Twin Cities Campus|
|Minneapolis, Minnesota, United States, 55455|
|Principal Investigator:||Bin He, PhD||University of Minnesota|