Rapid calibration of an intracortical brain-computer interface for people with tetraplegia
Objective. Brain-computer interfaces (BCIs) can enable individuals with tetraplegia to communicate and control external devices. Though much progress has been made in improving the speed and robustness of neural control provided by intracortical BCIs, little research has been devoted to minimizing t...
Saved in:
Published in | Journal of neural engineering Vol. 15; no. 2; pp. 26007 - 26020 |
---|---|
Main Authors | , , , , , , , , , , , , , , , , , , , , , , , , , , , , , |
Format | Journal Article |
Language | English |
Published |
England
IOP Publishing
01.04.2018
|
Subjects | |
Online Access | Get full text |
ISSN | 1741-2560 1741-2552 1741-2552 |
DOI | 10.1088/1741-2552/aa9ee7 |
Cover
Loading…
Summary: | Objective. Brain-computer interfaces (BCIs) can enable individuals with tetraplegia to communicate and control external devices. Though much progress has been made in improving the speed and robustness of neural control provided by intracortical BCIs, little research has been devoted to minimizing the amount of time spent on decoder calibration. Approach. We investigated the amount of time users needed to calibrate decoders and achieve performance saturation using two markedly different decoding algorithms: the steady-state Kalman filter, and a novel technique using Gaussian process regression (GP-DKF). Main results. Three people with tetraplegia gained rapid closed-loop neural cursor control and peak, plateaued decoder performance within 3 min of initializing calibration. We also show that a BCI-naïve user (T5) was able to rapidly attain closed-loop neural cursor control with the GP-DKF using self-selected movement imagery on his first-ever day of closed-loop BCI use, acquiring a target 37 s after initiating calibration. Significance. These results demonstrate the potential for an intracortical BCI to be used immediately after deployment by people with paralysis, without the need for user learning or extensive system calibration. |
---|---|
Bibliography: | JNE-102068.R1 ObjectType-Article-1 SourceType-Scholarly Journals-1 ObjectType-Feature-2 content type line 23 Present affiliation: Wallace H. Coulter Department of Biomedical Engineering, Emory University and Georgia Institute of Technology, Atlanta, GA, USA Present affiliation: Department of Neurosurgery, Emory University, Atlanta, GA, USA Present affiliation: Department of Neurosurgery, Stanford University, Stanford, CA, USA Contributed equally |
ISSN: | 1741-2560 1741-2552 1741-2552 |
DOI: | 10.1088/1741-2552/aa9ee7 |