Rapid calibration of an intracortical brain-computer interface for people with tetraplegia.

ABSTRACT:

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 calibratio

SUBMITTER: Brandman DM 

PROVIDER: S-EPMC5823702 | biostudies-literature | 2018 Apr

REPOSITORIES: biostudies-literature