Electrical Impedance Tomography for stroke, biophysical monitoring and medical device design

Summary

This project will involve simulation and test of an impedance spectroscopy device using electrical impedance models and saline based phantoms for its applicability in monitoring stroke and associated
therapies.

Supervisor(s)

Dr Alistair McEwan, Associate Professor Craig Jin, Associate Professor Philip Leong

Research Location

Electrical and Information Engineering

Program Type

Masters/PHD

Synopsis

Stroke is one of the leading causes of death in the western world. Recently ‘clot-busting’ thrombolytic drugs have become available for when the stroke is associated with a blockage or ischemia, however
bleeding or haemorrhage must be excluded before therapy can commence. There are several ongoing trials of new treatments for acute stroke at RPA and The George Institute for International Health.  In order to assess new treatments and manage dosage of thrombolytic drugs, a device to continuously monitor bleeding in the brain would be a great advantage. This project will develop a good potential candidate: Electrical Impedance Tomography Spectroscopy which is a relatively new, portable medical imaging technology based on impedance measurements using scalp electrodes.

Keywords

Biomedical Instrumentation, Signal Processing, Medical Electronics, Stroke

Opportunity ID

The opportunity ID for this research opportunity is: 948

Other opportunities with Dr Alistair McEwan

• Medical diagnostics for neonates in the developing world
• Impedance tomography for cardiac imaging: high speed tomography
• Novel Electrodes for rapid electrophysiological recording
• Mapping 2D Images to 3D Shape
• New technique for studying human brain activity
• Next Generation Audio Coding
• Spherical multi-modal scene analysis
• Statistical models of ear shape and ear acoustics
• FPGA-based Low Latency Trading
• Floating Point FPGA Architectures
• Placement-aware Hardware Description Languages
• Scalable vision machines
• Modelling Parkinson's disease using control models
• Binaural signal processing algorithms for hearing aids

Other opportunities with Associate Professor Craig Jin

• Pattern analysis techniques for sound synthesis
• Interpolation of binaural impulse responses for virtual auditory displays
• Sound field recording and recreation
• Beamforming with acoustic vector sensors - Multiple acoustic source localisation using acoustic vector sensor arrays
• Speech separation and localisation using particle filtering
• Mapping 2D Images to 3D Shape
• New technique for studying human brain activity
• Next Generation Audio Coding
• Spherical multi-modal scene analysis
• Statistical models of ear shape and ear acoustics
• Binaural signal processing algorithms for hearing aids
• Impedance tomography for cardiac imaging: high speed tomography
• Medical diagnostics for neonates in the developing world
• FPGA-based Low Latency Trading
• Floating Point FPGA Architectures
• Placement-aware Hardware Description Languages
• Scalable vision machines
• Modelling Parkinson's disease using control models
• Novel Electrodes for rapid electrophysiological recording

Other opportunities with Associate Professor Philip Leong

• other research opportunities available at Faculty of Engineering and Information Technologies
• FPGA-based Low Latency Trading
• Floating Point FPGA Architectures
• Placement-aware Hardware Description Languages
• Scalable vision machines
• Modelling Parkinson's disease using control models
• Mapping 2D Images to 3D Shape
• New technique for studying human brain activity
• Next Generation Audio Coding
• Spherical multi-modal scene analysis
• Statistical models of ear shape and ear acoustics
• Medical diagnostics for neonates in the developing world
• Impedance tomography for cardiac imaging: high speed tomography
• Novel Electrodes for rapid electrophysiological recording
• Binaural signal processing algorithms for hearing aids