Brain Computer Interface Control of a Robotic Device

Sponsor
University of Minnesota (Other)
Overall Status
Completed
CT.gov ID
NCT02069938
Collaborator
(none)
23
1
24.4
0.9

Study Details

Study Description

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 Intervention/Treatment Phase

    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.

    Study Design

    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 :
    Mar 1, 2014
    Actual Primary Completion Date :
    Mar 13, 2016
    Actual Study Completion Date :
    Mar 13, 2016

    Arms and Interventions

    Arm Intervention/Treatment
    Healthy Subjects

    Noninvasive Brain Computer Interface Control

    Outcome Measures

    Primary Outcome Measures

    1. Percent of trials correct within each session of Brain Computer Interface experiments. [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.

    Eligibility Criteria

    Criteria

    Ages Eligible for Study:
    18 Years to 64 Years
    Sexes Eligible for Study:
    All
    Accepts Healthy Volunteers:
    Yes
    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.

    Contacts and Locations

    Locations

    Site City State Country Postal Code
    1 Nils Hasselmo Hall at the University of Minnesota - Twin Cities Campus Minneapolis Minnesota United States 55455

    Sponsors and Collaborators

    • University of Minnesota

    Investigators

    • Principal Investigator: Bin He, PhD, University of Minnesota

    Study Documents (Full-Text)

    None provided.

    More Information

    Publications

    None provided.
    Responsible Party:
    University of Minnesota
    ClinicalTrials.gov Identifier:
    NCT02069938
    Other Study ID Numbers:
    • 1312M46742
    First Posted:
    Feb 24, 2014
    Last Update Posted:
    Jan 18, 2018
    Last Verified:
    Jan 1, 2018
    Individual Participant Data (IPD) Sharing Statement:
    Undecided
    Plan to Share IPD:
    Undecided
    Keywords provided by University of Minnesota

    Study Results

    No Results Posted as of Jan 18, 2018