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Novel Electrodes for rapid electrophysiological recording

Rapid monitoring of emergencies including heart attack and stroke are limited by electrode movements.  This project aims at using a range of methods to improve electrodes inclu more...

Supervisor(s): McEwan, Alistair (Professor), Jin, Craig (Associate Professor), Leong, Philip (Professor)

Implant electrode optimisation and neurolinguistics

The benefit provided by additional electrodes in medical implants is currently unknown. A typical cochlear implant only contains 12-22 electrodes to stimulate about 30,000 more...

Supervisor(s): McEwan, Alistair (Professor)

Subdivided electrodes to improve defibrillators and physiological measurements

Current defibrillators and physiological monitors (EEG, ECG etc) are limited by variations in contact impedance. This makes measurements difficult during movement of the subjec more...

Supervisor(s): McEwan, Alistair (Professor)

Electrical impedance modelling for implants

Neuromodulation implant stimulation and control is currently limited by the impedance of the surrounding tissue. The aim is to develop a 3D FEM computer model and an agar gel based more...

Supervisor(s): McEwan, Alistair (Professor)

Magnetic resonance electrical impedance tomography

MREIT is a new medical imaging method that allows the electrical conductivity of tissue to be directly measured in the MR scanner. It has high potential for implant design, monitors more...

Supervisor(s): McEwan, Alistair (Professor)

Next Generation Audio Coding

Next generation audio coding involves the reproduction of spatial audio at increasing spatial resolution. For example, we would like to be able to extract second-order signals from more...

Supervisor(s): Jin, Craig (Associate Professor), Leong, Philip (Professor), McEwan, Alistair (Professor)

Spherical multi-modal scene analysis

The next generation of webcam is likely to be a multi-modal spherical scene analysis device that improves human-computer interaction. This research project explores how to successfu more...

Supervisor(s): Jin, Craig (Associate Professor), Leong, Philip (Professor), McEwan, Alistair (Professor)

Statistical models of ear shape and ear acoustics

The future of personal audio devices relies on statistical shape analysis of ears and ear acoustics. We have the world’s largest database of head-ear meshes together with ear more...

Supervisor(s): Jin, Craig (Associate Professor), Leong, Philip (Professor), McEwan, Alistair (Professor)

Binaural signal processing algorithms for hearing aids

Within the last half-decade that it has become possible to transfer audio signals between bilaterally-fitted hearing aids (Moore, 2007, The Hearing Journal, Vol. 40, No. 11, pp 46-4 more...

Supervisor(s): Jin, Craig (Associate Professor), Leong, Philip (Professor), McEwan, Alistair (Professor)

FPGA-based low latency machine learning

This project involves the design of novel low-latency trading systems by combining FPGA hardware and machine learning. more...

Supervisor(s): Leong, Philip (Professor), Jin, Craig (Associate Professor), McEwan, Alistair (Professor)