Novel Electrodes for rapid electrophysiological recording
Summary
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 including advanced materials, electronic cancellation and embedded computing.
Supervisor(s)
Dr Alistair McEwan, Associate Professor Craig Jin, Associate Professor Philip Leong
Research Location
Electrical and Information Engineering
Program Type
Masters/PHD
Synopsis
The electrodes will be optimised in terms of materials, shape, size, number of contacts and depth for recording capability and mechanical strength. Materials of interest are nickel, gold, silver and carbon nanotubes. Analog and digital electronic techniques will be used to develop movement cancellation. An APAI scholarship stipend of $27,222 per annum (tax exempt) is available in collaboration with Heard Systems. Additionally all full time research students in the School of Electrical and Information Engineering are eligible for an additional Norman I Price Top-up award of $7000 per annum.
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Keywords
Biomedical Instrumentation, Signal Processing, Medical Electronics, Stroke, electrodes, materials, electro chemistry Physiology, EEG, ECG, EMG Brain computer interface, epilepsy, cardiovascular disease
Opportunity ID
The opportunity ID for this research opportunity is: 1366
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- Electrical Impedance Tomography for stroke, biophysical monitoring and medical device design
- 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
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
- Electrical Impedance Tomography for stroke, biophysical monitoring and medical device design
- Impedance tomography for cardiac imaging: high speed tomography
- Binaural signal processing algorithms for hearing aids