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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
Sponsor:
Information provided by (Responsible Party):
University of Minnesota

Brief Summary:

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
Healthy

Detailed Description:

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.

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Study Type : Observational
Actual Enrollment : 23 participants
Observational Model: Case-Only
Time Perspective: Prospective
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

Group/Cohort
Healthy Subjects
Noninvasive Brain Computer Interface Control



Primary Outcome Measures :
  1. 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.



Information from the National Library of Medicine

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Ages Eligible for Study:   18 Years to 64 Years   (Adult)
Sexes Eligible for Study:   All
Accepts Healthy Volunteers:   Yes
Sampling Method:   Probability Sample
Study Population
Healthy subjects, primarily from individuals on the University of Minnesota Campus and Minneapolis area
Criteria

Inclusion Criteria:

  • Subjects for this study will be healthy, English speaking adult volunteers (18-64 years old).

Exclusion Criteria:

  • History of neurological deficit or traumatic brain injury.

Information from the National Library of Medicine

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


Locations
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United States, Minnesota
Nils Hasselmo Hall at the University of Minnesota - Twin Cities Campus
Minneapolis, Minnesota, United States, 55455
Sponsors and Collaborators
University of Minnesota
Investigators
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Principal Investigator: Bin He, PhD University of Minnesota
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Responsible Party: University of Minnesota
ClinicalTrials.gov Identifier: NCT02069938    
Other Study ID Numbers: 1312M46742
First Posted: February 24, 2014    Key Record Dates
Last Update Posted: January 18, 2018
Last Verified: January 2018
Individual Participant Data (IPD) Sharing Statement:
Plan to Share IPD: Undecided
Keywords provided by University of Minnesota:
Subjects