MINIMALLY-INVASIVE BRAIN MACHINE INTERFACE FOR ROBOTIC LIMB CONTROL
Grant number: 1062532 | Funding period: 2014 - 2018
Persons affected by quadriplegia and hemiplegia from stroke and spinal cord injury have few treatment options. Brain Machine Interfaces (BMIs) reconnect brain to a prosthetic limb, bypassing damaged nervous system. Our group has developed a BMI that can be implanted minimally-invasively, inside a blood vessel within the brain. We propose to evaluate this device in animal studies, and continue on to a human clinical trial pilot study. The aim is to restore mechanical control over the physical environment for a paralysed patient.
Related publications (3)
In Vivo Impedance Characterization of Cortical Recording Electrodes Shows Dependence on Electrode Location and Size
Sam E John, Nicholas V Apollo, Nicholas L Opie, Gil S Rind, Stephen M Ronayne, Clive N May, Thomas J Oxley, David B Grayden
OBJECTIVE: Neural prostheses are improving the quality of life for those suffering from neurological impairments. Electrocorticogr..
Signal quality of simultaneously recorded endovascular, subdural and epidural signals are comparable
Sam E John, Nicholas L Opie, Yan T Wong, Gil S Rind, Stephen M Ronayne, Giulia Gerboni, Sebastien H Bauquier, Terence J O'Brien, Clive N May, David B Grayden, Thomas J Oxley
Recent work has demonstrated the feasibility of minimally-invasive implantation of electrodes into a cortical blood vessel. Howeve..
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
Segmentation is the process of partitioning an image into subdivisions and can be applied to medical images to isolate anatomical ..