A high-performance brain–computer interface for finger decoding and quadcopter game control in an individual with paralysis
University of Michigan · Michigan Medicine · +12 more institutions
Abstract
People with paralysis express unmet needs for peer support, leisure activities and sporting activities. Many within the general population rely on social media and massively multiplayer video games to address these needs. We developed a high-performance, finger-based brain-computer-interface system allowing continuous control of three independent finger groups, of which the thumb can be controlled in two dimensions, yielding a total of four degrees of freedom. The system was tested in a human research participant with tetraplegia due to spinal cord injury over sequential trials requiring fingers to reach and hold on targets, with an average acquisition rate of 76 targets per minute and completion time of 1.58…
Citation impact
- FWCI
- 59.04
- Percentile
- 100%
- References
- 50
Authors
9- MSMatthew S. WillseyCorresponding
University of Michigan, Michigan Medicine, BioSurfaces (United States), Stanford University
- NPNishal P. Shah
Stanford University
- DTDonald T. Avansino
Howard Hughes Medical Institute, Stanford University
- NHNick Hahn
Stanford University
- RMRyan M. Jamiolkowski
Stanford University
Topics & keywords
- Tetraplegia
- Interface (matter)
- Brain–computer interface
- Wheelchair
- Computer science
- Physical medicine and rehabilitation
- Population
- Paralysis
Funding
- UDU.S. Department of Veterans AffairsAward: A2295R
- MGMassachusetts General Hospital
- OOOffice of Research and Development
- NINational Institutes of Health
- WTWu Tsai Neurosciences Institute, Stanford University
- NINational Institute on Deafness and Other Communication DisordersAwards: U01-DC017844, R01-DC014034, DC017844