Control Of Prosthetic Limbs From Decoded Brain Signals
Grant number: 1148005 | Funding period: 2018 - 2022
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.
Related publications (23)
A Convolutional Neural Network Model for Decoding EEG signals in a Hand-Squeeze Task
A Partovi, F Goodarzy, ES Nurse, P Karoly, D Freeston, M Cook, AN Burkitt, D Grayden
Brain computer interfaces can help individuals with movement disabilities such as locked-in syndrome, tetraplegia and cerebral pal..
Focal stimulation of the sheep motor cortex with a chronically implanted minimally invasive electrode array mounted on an endovascular stent
Nicholas L Opie, Sam E John, Gil S Rind, Stephen M Ronayne, Yan T Wong, Giulia Gerboni, Peter E Yoo, Timothyj H Lovell, Theodore CM Scordas, Stefan L Wilson, Anthony Dornom, Thomas Vale, Terence J O'brien, David B Grayden, Clive N May, Thomasj Oxley
Optimized partial-coverage functional analysis pipeline (OPFAP): a semi-automated pipeline for skull stripping and co-registration of partial-coverage, ultra-high-field functional images
Peter E Yoo, Jon O Cleary, Scott C Kolbe, Roger J Ordidge, Terence J O'Brien, Nicholas L Opie, Sam E John, Thomas J Oxley, Bradford A Moffat
An ovine model of cerebral catheter venography for implantation of an endovascular neural interface
Thomas James Oxley, Nicholas Lachlan Opie, Gil Simon Rind, Kishan Liyanage, Sam Emmanuel John, Stephen Ronayne, Alan James McDonald, Anthony Dornom, Timothy John Haynes Lovell, Peter John Mitchell, Iwan Bennett, Sebastien Bauquier, Leon Norris Warne, Chris Steward, David Bruce Grayden, Patricia Desmond, Stephen M Davis, Terence John O'Brien, Clive N May
7T-fMRI: Faster temporal resolution yields optimal BOLD sensitivity for functional network imaging specifically at high spatial resolution
Peter E Yoo, Sam E John, Shawna Farquharson, Jon O Cleary, Yan T Wong, Amanda Ng, Claire B Mulcahy, David B Grayden, Roger J Ordidge, Nicholas L Opie, Terence J O'Brien, Thomas J Oxley, Bradford A Moffat
Effect of general anaesthesia on functional outcome in patients with anterior circulation ischaemic stroke having endovascular thrombectomy versus standard care: a meta-analysis of individual patient data
Bruce CV Campbell, Wim H van Zwam, Mayank Goyal, Bijoy K Menon, Diederik WJ Dippel, Andrew M Demchuk, Serge Bracard, Philip White, Antoni Davalos, Charles BLM Majoie, Aad van der Lugt, Gary A Ford, Natalia Perez de la Ossa, Michael Kelly, Romain Bourcier, Geoffrey A Donnan, Yvo BWEM Roos, Oh Young Bang, Raul G Nogueira, Thomas G Devlin
Near-field wireless power transfer to stent-based biomedical implants
A Aldaoud, Jean-Michel Redoute, Kumaravelu Ganesan, G Rind, S John, S Ronayne, N Opie, D Garrett, S Prawer
Safe wireless power transfer is an essential requirement for biomedical implants. Emerging technologies are becoming smaller, less..
Development and Implementation of a Corriedale Ovine Brain Atlas for Use in Atlas-Based Segmentation
Kishan Andre Liyanage, Christopher Steward, Bradford Armstrong Moffat, Nicholas Lachlan Opie, Gil Simon Rind, Sam Emmanuel John, Stephen Ronayne, Clive Newton May, Terence John O'Brien, Marjorie Eileen Milne, Thomas James Oxley