CBE FREng FMedSci MA DPhil CEng FIET
Professor of Electrical Engineering
- Adjunct Professorial Fellow, Nuffield Department of Population Health
Professor Tarassenko is a world-leading expert in the application of signal processing to medical systems, with a strong track record in translation to clinical medicine. His work has had a major impact on the identification of deterioration in acute care and on the self-management of long-term conditions using mobile communications. He has been a pioneer in developing early warning systems for acutely-ill patients. The data fusion system which he designed for patient monitoring was the first such system to gain FDA approval. It has led to improved patient outcomes documented in clinical trials (Crit. Care Med. 2011) and more than 150 licences have been sold to hospitals in the US and the UK.
Professor Tarassenko has been Professor of Electrical Engineering at the University of Oxford since 1997 and he was the driving force behind the Institute of Biomedical Engineering (IBME) which he directed from its opening in April, 2008 to October, 2012. He also established an £8m Centre of Excellence in Medical Engineering within the IBME, and he has led the Bioengineering theme in the NIHR Oxford Biomedical Research Centre since its inception in 2007. Under his leadership, the IBME grew from 110 to 220 academic researchers, and it was awarded a Queen’s Anniversary Prize for Higher Education in 2015 for “new collaborations between engineering and medicine delivering benefit to patients”.
Professor Tarassenko is also a Professorial Fellow in the Nuffield Department of Population Health. In that department, he works with Professor Sir Rory Collins and with Professor Martin Landray, Deputy Director of the Big Data Institute. With Professor Collins, he is designing and testing machine learning algorithms to analyse the large number of electrocardiograms in the UK Biobank database, with a view to automating the detection of atrial fibrillation. With Professor Landray and colleagues at Stanford University, he has been developing a smartphone app for tracking cardiovascular health in large populations. Both of these projects have grown as a result of his role as Leader of the Biomedical Informatics and Technology Theme for the NIHR-funded Oxford Biomedical Research Centre.
Professor Tarassenko was elected to a Fellowship of the Institute of Electrical Engineers in 1996, when he was also awarded the IEE Mather Premium for his work on neural networks, to a Fellowship of the Royal Academy of Engineering in 2000, and to a Fellowship of the Academy of Medical Sciences in 2013. He received a British Computer Society Medal in 1996 for his work on neural network analysis of sleep disorders. His research on jet engine health monitoring was awarded the Rolls-Royce Chairman's Award for Technical Innovation in 2001 and the Sir Henry Royce High Value Patent Award in 2008. His work on mobile phones for healthcare was awarded the E-health 2005 Innovation Award for “best device to empower patients”. He received the 2006 Silver Medal of the Royal Academy of Engineering for his contribution to British engineering leading to market exploitation and he won the Institute of Engineering & Technology IT Award, also in 2006. In 2010, he gave the prestigious Vodafone lecture on m-health at the Royal Academy of Engineering and the Centenary Lecture on Biomedical Engineering at the Indian Institute of Science in Bangalore. He received the 2015 Martin Black Prize from the Institute of Physics for the best paper in Physiological Measurement.
Professor Tarassenko is the author of 210 journal papers, 190 conference papers, 3 books and 30 granted patents. He has been a founder director of four University spin-out companies, the latest being Oxehealth in September 2012. He serves on the Council of the University of Oxford, and he is a director of the University’s wholly-owned Technology Transfer company, Isis Innovation. He has been the Head of the Department of Engineering Science (Dean of Engineering) since 1st September 2014. He was made a CBE in the 2012 New Year’s Honours List.
The Mobile-Based 6-Minute Walk Test: Usability Study and Algorithm Development and Validation.
Salvi D. et al, (2020), JMIR mHealth and uHealth, 8
Cardio-respiratory signal extraction from video camera data for continuous non-contact vital sign monitoring using deep learning.
Chaichulee S. et al, (2019), Physiological measurement, 40
Mood Monitoring Over One Year for People With Chronic Obstructive Pulmonary Disease Using a Mobile Health System: Retrospective Analysis of a Randomized Controlled Trial.
Whelan ME. et al, (2019), JMIR mHealth and uHealth, 7
Assessment of Signal Processing Methods for Measuring the Respiratory Rate in the Neonatal Intensive Care Unit.
Jorge J. et al, (2019), IEEE journal of biomedical and health informatics, 23, 2335 - 2346
Automated method for detecting and reading seven-segment digits from images of blood glucose metres and blood pressure monitors.
Finnegan E. et al, (2019), Journal of medical engineering & technology, 43, 341 - 355