Brain Bionics
Brain Machine Interface - MRI Compatibility and Electrochemical Safety of a novel Brain Machine Interface
Supervisors: Nicholas Opie, Sam John, Thomas Oxley
Project Site: Department of Medicine, Royal Melbourne Hospital
Contact: Nicholas Opie – 0438 089 306; E: Nicholas.opie@unimelb.edu.au
Project description: Our team has developed a stent-based brain machine interface that is capable of recording neural information without requiring invasive open brain surgery. We aim to implant in a first-in-human trial in 2018 and demonstrate the capability of our device to enable direct brain control of an exoskeleton by a person with paralysis. This project will develop and conduct experiments to evaluate whether it is safe for patients implanted with our device to undergo MRI scans. Further, this project will evaluate electrochemical properties of the device, identifying and quantifying any degradation products caused through chronic implantation and material dissolution.
Brain Machine Interface - Biological EValuation of a novel Brain Machine Interface
Supervisors: Nicholas Opie, Sam John, Thomas Oxley
Project Site: Department of Medicine, Royal Melbourne Hospital
Contact: Nicholas Opie – 0438 089 306;E: Nicholas.opie@unimelb.edu.au
Project description: Our team has developed a stent-based brain machine interface that is capable of recording neural information without requiring invasive open brain surgery. We aim to implant in a first-in-human trial in 2018 and demonstrate the capability of our device to enable direct brain control of an exoskeleton by a person with paralysis. This project will design and evaluate hemodynamic responses to implanted devices and will assist in optimization of fabrication materials and methodologies
Brain Machine Interface – Evaluating feasibility of an Endovascular Brain Machine Interface for volitional control
Supervisors: Sam John, Nicholas Opie, Thomas Oxley
Project Site: Department of Medicine, Royal Melbourne Hospital
Contact: Sam John – 0433 030 540; E: sam.john@unimelb.edu.au
Project description: Our team has developed a stent-based brain machine interface that is capable of recording neural information without requiring invasive open brain surgery. We aim to implant in a first-in-human trial in 2018 and demonstrate the capability of our device to enable direct brain control of an exoskeleton by a person with paralysis. The aim of this study is to evaluate the feasibility of an endovascular brain machine interface by enabling volitional control in an animal model. The project will involve decoding neural signals obtained from an endovascular array to achieve volitional control.