Sensorimotor Based Brain Computer Interface
NCT02169375 · Status: TERMINATED · Phase: NA · Type: INTERVENTIONAL · Enrollment: 6
Last updated 2014-06-23
Summary
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.
Conditions
- Healthy Volunteers
Interventions
- OTHER
-
Brain computer Interface Mu (SMR) rhythm
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.
Sponsors & Collaborators
-
Eunice Kennedy Shriver National Institute of Child Health and Human Development (NICHD)
collaborator NIH - lead OTHER
Principal Investigators
-
Jane Huggins, PhD · University of Michigan
Study Design
- Allocation
- RANDOMIZED
- Purpose
- BASIC_SCIENCE
- Masking
- TRIPLE
- Model
- SINGLE_GROUP
Eligibility
- Min Age
- 18 Years
- Sex
- ALL
- Healthy Volunteers
- Yes
Timeline & Regulatory
- Start
- 2010-11-30
- Primary Completion
- 2011-06-30
- Completion
- 2011-06-30
Countries
- United States
Study Locations
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