Biomedical Engineering draws upon a number of key multidisciplinary strengths across Engineering and the Environment, related to the diagnosis, treatment and/or monitoring of human disease.
As a cross-cutting theme, our interests span multiple research groups both within the Engineering and the Environment and outside.
We have very strong links with industry, clinicians and health scientists, particularly in Medicine, Health Sciences and Biological Sciences at the University and at Southampton General Hospital. These links underpin our focus on developing novel biomedical devices and technologies aimed at improving healthcare.
Our work in this area is mirrored by the Biomedical Engineering Network in BioXneT, an initiative to support all bioengineering activities in Engineering and the Environment.
Our research interests within the Biomedical Engineering theme are categorised according to the following clinical diseases and disorders
Within these categories, we have expertise in black-box and bio-chemo-physics based model development; computational design search and optimisation; computational modelling; control; experimental methods; high performance computing; image and signal processing; imaging; mathematical modelling; microfluidics; and system identification. Many of these areas of expertise focus on clinical applications in
Research is supported by facilities in the national Centre for Advanced Tribology at Southampton (nCATS); the centre for Multidisciplinary, Multiscale, Microtomographic Volume Imaging; the Auditory Implant Service; the Hearing and Balance Centre; the bioengineering laboratory, the nanometrology laboratory and large supercomputing facilities.
This introductory level course to Biomedical Signal Processing is designed for professionals in health care or the biomedical sciences, who may have little background in signal processing, mathematics or computing. We expect delegates with a wide range of professional experience, including clinical scientists, clinicians, technologists, audiologists, therapists, surgeons, nurses, physiologists, psychologists, ergonomists, researchers, technicians, trainees and students.
The courses will provide you with a sound understanding of methods, and practical experience in using signal processing for monitoring, diagnosis and prognosis, for clinical practice and biomedical research.
On completion of the course, you should be able to
We have facilities for