Personal tools

You are here: Home / Research / Biomedical Signal Processing & Instrumentation

Biomedical Signal Processing & Instrumentation

Signal processing and machine learning applied to medical signals and data is the main focus of the Biomedical Signal Processing & m-health group run by Prof. Lionel Tarassenko; the Computational Health Informatics Laboratory, run by Prof. David Clifton; and the Computational Intelligence in Biomedical Monitoring (CIBIM) Laboratory run by Prof. Maarten De Vos.

Prof. Tarassenko's group has historically focused on machine learning and data fusion for early warning of patient deterioration in hospital, as well as m-health for self-management of chronic diseases such as diabetes. Prof. Clifton's group focuses on (i) very-large scale data fusion, from genomics to patient-worn sensors, and (ii) extensions for affordable healthcare in developing countries. Prof. De Vos' research focus is on (i) tensor decompositions in biomedical applications and (ii) neuroscience and mental health monitoring.

All three groups collaborate closely and have several joint projects. If you are interested in biomedical signal processing research, please feel free to approach these members of faculty.