Control of Prosthetic Limbs from Decoded Brain Signals

Funding Activity

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Funded Activity Summary

This research will restore mobility to patients who suffer from paralysis. We aim to create a device, known as a brain-machine interface, which is an artificial communication path from the brain that bypasses an injury, such as a damaged spinal cord or stroke. The interface will decode a user’s intent and act upon it. Decoders will use physiological principals and state-of-the-art machine learning methods. We will test a user’s ability to control an artificial limb using decoded brain activity.

Funded Activity Details

Start Date: 01-01-2018

End Date: 01-01-2022

Funding Scheme: Project Grants

Funding Amount: $895,832.00

Funder: National Health and Medical Research Council

Research Topics

ANZSRC Field of Research (FoR)

Central Nervous System

ANZSRC Socio-Economic Objective (SEO)

There are no SEO codes available for this funding activity

Other Keywords

brain function | neural coding | neurophysiology | paralysis | rehabilitation