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Conference Papers Year : 2019

Control of a robotic prosthesis simulation by a closed-loop intracortical brain-machine interface

Abstract

Closed-loop brain-machine interfaces may help restore the autonomy of amputees and tetraplegic patients. However, additional efforts are needed towards their real-world use with prostheses. Here we have interfaced a highly versatile closed-loop mouse BMI with an online model of a real-world prosthetic arm. We describe this setup and illustrate how it allows to explore the efficiency of different input and output coding strategies given a realistic modelling of the interactions between a commercial bidirectional prosthesis and its environment.

Domains

Neuroscience
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Dates and versions

hal-02998804 , version 1 (10-11-2020)

Identifiers

Cite

Dorian Goueytes, Aamir Abbasi, Henri Lassagne, Daniel Shulz, Luc Estebanez, et al.. Control of a robotic prosthesis simulation by a closed-loop intracortical brain-machine interface. 2019 9th International IEEE/EMBS Conference on Neural Engineering (NER), Mar 2019, San Francisco, France. pp.183-186, ⟨10.1109/NER.2019.8716885⟩. ⟨hal-02998804⟩
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