Noninvasive neuroimaging enhances continuous neural tracking for robotic device control.

ABSTRACT: Brain-computer interfaces (BCIs) utilizing signals acquired with intracortical implants have achieved successful high-dimensional robotic device control useful for completing daily tasks. However, the substantial amount of medical and surgical expertise required to correctly implant and operate these systems significantly limits their use beyond a few clinical cases. A noninvasive counterpart requiring less intervention that can provide high-quality control would profoundly impact the integration of BCIs into the clinical and home setting. Here, we present and validate a noninvasive framework utilizing electroencephalography (EEG) to achieve the neural control of a robotic device for continuous random target tracking. This framework addresses and improves upon both the "brain" and "compute

SUBMITTER: Edelman BJ 

PROVIDER: S-EPMC6814169 | biostudies-literature | 2019 Jun

REPOSITORIES: biostudies-literature