FEIT Research Project Database

Stentrode Brain Machine Interfaces: decoding movement and movement intent using a stentrode


Project Leader: Sam John
Staff: David Grayden
Primary Contact: Sam John (sam.john@unimelb.edu.au)
Keywords: neural engineering; neuroengineering
Disciplines: Biomedical Engineering
Domains:
Research Centre: Neuroengineering Research Laboratory

Brain–computer interfaces (BCIs) hold promise to enable patients with severe paralysis to interact with assistive technologies via direct thought control. A BCI is a neuro-rehabilitative device that can restore communication and mobility by establishing direct communication between the brain and external interfaces such as a computer, wheelchair, robotic hand or exoskeleton. We recently developed the Stentrode, a minimally invasive electrode array mounted on a stent that can be placed into the brain via blood vessels to record intracranial EEG signals. However, there is a pressing need to develop neural decoders that are reliable and portable enough to use in everyday life, not just in the research laboratory. This project aims to develop and validate a neural decoding algorithm that will improve the level of control for people with paralysis.

Further information: https://biomedical.eng.unimelb.edu.au/john-neurobionics/research