Brain Computer Interface Control of a Robotic Device

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.

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Key information

Conditions

Healthy

Age range

18 year–64 year

Sex eligibility

All sexes

Study type

Observational

Primary location

Nils Hasselmo Hall at the University of Minnesota - Twin Cities Campus

Minneapolis, Minnesota, 55455, United States

About this study

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.

Who can participate

Healthy volunteers accepted: Yes

Only the study team can determine whether someone qualifies for participation.

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.

Treatment and study plan

Primary outcomes

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.

Sponsors and collaborators

Lead sponsor

University of Minnesota

Other

Registry information

Important dates

Study start: 2014
Primary completion: 2016
Study completion: 2016
First posted: Feb 24, 2014
Registry last updated: Jan 18, 2018

OpenTrials presents study information sourced from ClinicalTrials.gov. The official registry record should be consulted for the latest information.

View the official ClinicalTrials.gov record (opens in a new tab)

This listing is for discovery and informational purposes only. It is not medical advice, does not guarantee that a study is recruiting, and does not determine eligibility. Contact the study team and a qualified healthcare professional when considering participation.

Published trials that share one or more normalized conditions with this study.

Completed