An Improved Unscented Kalman Filter Based Decoder for Cortical Brain-Machine Interfaces
Brain-machine interfaces (BMIs) seek to connect brains with machines or computers directly, for application in areas such as prosthesis control. For this application, the accuracy of the decoding of movement intentions is crucial. We aim to improve accuracy by designing a better encoding model of pr...
| Main Authors: | , , |
|---|---|
| Format: | Online |
| Language: | English |
| Published: |
Frontiers Media S.A.
2016
|
| Online Access: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5177654/ |