Biomedical Engineering

 

Biomedical Engineering is a discipline in which the techniques of engineering and quantitative sciences are applied to the solution of problems in medicine and biology. The applications include research and design of instrumentation and technologies to enhance health care. In addition, the discipline deals with the development of a quantitative understanding of the human body and other living systems, in engineering terms.

The Biomedical Engineering Research Group within the School of Electrical and Information Engineering offers a range of research options at postgraduate level.  The field of Biomedical Engineering is inherently multidisciplinary, and hence the research is usually undertaken in collaboration with other research groups and in some cases with other departments and institutions.

The group has been active in the fields of medical imaging, artificial intelligence and bioreactors. Some of the work has been done in collaboration with the School of Pathology and the School of Chemical and Metallurgical Engineering, as well as other research groups within the School of Electrical & Information Engineering.

 

Research Head: Prof David Rubin

PUBLICATIONS

Title Publication Name Authors Year published
Cell-free expression, purification, and ligand-binding analysis of Drosophila melanogaster olfactory receptors DmOR67a, DmOR85b and DmORCO Scientific Reports
Lotta Tollstoy Tegler
Karolina Corin
Julia Hillger
Brooke Wassie
YanmeiYu
Shuguang Zhang
2015
Modification of readings along oblique principal meridians to fit regular corneal surfaces Journal of Modern Optics
Herven Abelmana
Shirley Abelmanb
2015
Hybrid BCI for Controlling a Robotic Arm over an IP Network 6th European Conference of the International Federation for Medical and Biological Engineering
Graham Peyton
Rudolf Hoehler
and Adam Pantanowitz
2014
Comparison of colour transforms used in lip segmentation Signal, Image and Video Processing
Ashley D. Gritzman David M. Rubin
Adam Pantanowitz
2014
Improvements in Feature Vector Selection and Parameter Optimisation for Continuous Gesture Recognition IEEE CYBONF 2013/2013 IEEE International Conference on Cybernetics Ashley Gritzman, Tomislav Batev and Adam Pantanowitz 2013
Clustering gene expression data using a diffraction-inspired framework Biomedical engineering online Steven C Dinger1*, Michael A Van Wyk2, Sergio Carmona3 and David M Rubin1 2012
The effect of poly-l-lysine / alginate bead membrane characteristics on the absorption of heparin. Artificial Cells, Blood Substitutes, and Biotechnology Journal
Rubin DM
Varghese SM
Hildebrandt D
Glasser D
Crowther NJ
2009
A voting and predictive neural network system for use in a new artificial larynx 2nd International Conference on Biomedical and Pharmaceutical Engineering
Russell M
Rubin DM
Marwala T
Wigdorowitz B
2009
Pattern recognition and feature selection for the development of a new artificial larynx 11th International Congress of the IUPESM, World Congress 2009
Russell M
Rubin DM
Marwala T
Wigdorowitz B
2009
Evaluating the impact of missing data imputation Advanced Data Mining and Applications
Pantanowitz A
Marwala T
2009