Research Supervisor Connect
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.
Electrical and Computer Engineering
Masters/PHD
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.
The opportunity ID for this research opportunity is 1759