From monkeys to humans: observation-basedEMGbrain-computer interface decoders for humans with paralysis.

ABSTRACT: Objective. Intracortical brain-computer interfaces (iBCIs) aim to enable individuals with paralysis to control the movement of virtual limbs and robotic arms. Because patients' paralysis prevents training a direct neural activity to limb movement decoder, most iBCIs rely on 'observation-based' decoding in which the patient watches a moving cursor while mentally envisioning making the movement. However, this reliance on observed target motion for decoder development precludes its application to the prediction of unobservable motor output like muscle activity. Here, we ask whether recordings of muscle activity from a surrogate individual performing the same movement as the iBCI patient can be used as target for an iBCI decoder.Approach. We test two possible approaches, each usi

SUBMITTER: Rizzoglio F 

PROVIDER: S-EPMC10618714 | biostudies-literature | 2023 Nov

REPOSITORIES: biostudies-literature