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 3D printed model of the impedance distribution of the tissue surrounding the cochlea to determine the feasibility and potential of impedance measurement and imaging.
This project requires a highly motivated student interested in physiological measurements and development of medical devices. The ideal student would have a strong interest in electrical circuits and in developing a practical experiment. The computer modelling component requires strong computational modelling skills, ideally with previous experience of FEM modelling in Matlab, Ansys or Comsol. This is likely to be a highly computationally demanding task so experience or interest in writing efficient simulations, use of high performance computing and optimized inverse methods would be an advantage. The project could be extended to include MRI based data and anisotropy. One aim is to develop a physical spectroscopic model of the impedance presented by tissue and fluid in the cochlea using gel and organic conductor filaments. The proportions will be based on anatomy and published impedance data from relevant papers. The project could be extended in developing custom hardware and assisting with invivo testing of the device.
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The opportunity ID for this research opportunity is: 1759
Other opportunities with Dr Alistair McEwan
- 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
- Novel Electrodes for rapid electrophysiological recording
- Implant electrode optimisation and neurolinguistics
- Subdivided electrodes to improve defibrillators and physiological measurements
- Magnetic resonance electrical impedance tomography
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- Use of machine learning to accurately estimate rigid and non-rigid body motion during imaging studies
- 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
- FPGA-based low latency machine learning