Location: LG01, Henley Business School, Whiteknights
Presenter: Dr Mark Elliott, Institute of Digital Healthcare, WMG, University of Warwick
Digitally enabled care is a key pillar of the current NHS Long Term Plan. In the next decade, health relevant data will be collected from a whole range of sources and integrated to determine one’s current and predicted future health status or provide decision support on the best care pathway given a certain condition. When considering health data, there is a tendency to think of it in terms of patient records, genomics and imaging. In this talk, I will discuss the importance of human movement data analytics in the context of future healthcare. This can range from complex biomechanical analyses through to activity data collected from wearables. Using examples of our current research, I will show how such data is important for areas including orthopaedic surgery, physiotherapy and wellbeing. In particular, I will demonstrate how movement analytics will be important for self-management of health, early detection of disease and personalised planning of surgery.
Dr Mark Elliott is Assistant Professor of Healthcare Technology and Behaviour Change at the Institute of Digital Healthcare. Mark’s core research focuses on human movement analytics. His research uses signal processing and data science approaches to monitor, measure and model movement in a range of different contexts. A key focus of his current research is in the area of Osteoarthritis, using measures of movement and activity to provide personalised planning of joint replacement positioning and post-surgical monitoring of recovery.
His work further extends into the broader area of using wearable and on-the-body sensing devices to make objective measures of human behaviour and behaviour change. Recently, this research has focussed on the use of financial incentives to drive physical activity behaviour change.
Much of Mark's research is highly applied and involves collaborating with commercial and NHS partners. He is currently Data Analytics Theme Lead for the EPSRC funded OATech+ Network and on the steering committee for the EPSRC funded VSimulators facilities at Bath and Exeter Universities.
Prior to his current position, Mark was a Research Fellow in the Sensory Motor Neuroscience (SyMoN) lab at the University of Birmingham. He completed his PhD at Aston University, developing intelligent systems to discriminate between different walking patterns. Before completing his PhD, Mark qualified with an MEng in Electronic Systems Engineering (Aston University) and worked for 3 years as a Design Engineer in the telecommunications industry.