Completed Engineering

ESPRIT with Pervasive Sensing (Programme Grant)

In plain English

AI plain-English summary

Elite athletes push their bodies so hard that their vital signs often border on clinical pathology, challenging standard definitions of what is normal. This programme will embed wireless body sensor networks—tiny, low-power devices that monitor heart rate, biochemistry, and movement—into elite sports training to capture how the human body adapts and sometimes fails under extreme stress. The problem is that current medical baselines are built on average, sedentary populations. Athletes’ unusual physiology is poorly understood, yet it offers a unique window into human stress adaptation, maladaptation, and recovery. Insights from this extreme group could reveal early warning signs of overtraining, chronic stress, or age-related decline that apply far beyond the track. If successful, the research will first give UK athletes a competitive edge for Olympic and Paralympic medals. But the broader impact is on public health: the same sensors and algorithms could one day monitor recovery from illness, guide safe exercise for older adults, or detect early physiological strain in workers and patients—without restricting movement or behaviour. The project is applied, not fundamental: it aims to build working prototypes and deploy them in real training environments.

View original technical description
Elite athletes walk a fine line between performance success and failure. Although regarded by the public as examples of ultimate fitness, in reality they often exhibit vital signs bordering on clinical pathology. Their physiological parameters challenge our notions of what we consider clinically normal, for, as individuals, athletes represent a unique model of human stress adaptation and often, sadly, mal-adaptation. Understanding this human variance may assist ultimately in understanding aspects of well being in the population at large, in the work place and during healthy exercise, as well as when undergoing lifestyle changes to overcome disease, age-related changes and chronic stress.To maximise the potential of GB athletes and support the quest for gold at future World Championships, Summer and Winter Olympic and Paralympic Games, the UK's sports governing bodies and the UK sports governing bodies and research councils have identified the opportunity for engineering and physical science disciplines to support and interact with the sports community during training. Not only will this secure competitive advantage for UK athletes, it will also, of more general application, contribute understanding of the biology of athletic performance to gain insights which will improve the health and wellbeing of the population at large.The vision of ESPRIT is to position UK at the forefront of pervasive sensing in elite sports and promote its wider application in public life-long health, wellbeing and healthcare, whilst also addressing the EPSRC's key criteria for UK science and engineering research. The proposed programme represents a unique synergy of leading UK research in body sensor networks (BSN), biosensor design, sports performance monitoring and equipment design. The provision of ubiquitous and pervasive monitoring of physical, physiological, and biochemical parameters in any environment and without activity restriction and behaviour modification is the primary motivation of BSN research. This has become a reality with the recent advances in sensor design, MEMS integration, and ultra-low power micro-processor and wireless technologies. Since its inception, BSN has advanced very rapidly internationally. The proposing team has already contributed to a range of novel, low cost, miniaturised wireless devices and prototypes for sports and healthcare.

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Researchers

Andrew West (Co-Investigator)Christian John Cook (Co-Investigator)Guang-Zhong Yang (Principal Investigator)Michael Caine (Co-Investigator)Pankaj Vadgama (Co-Investigator)Paul Conway (Co-Investigator)

Related Research

Grants with similar aims, by meaning.

Sports Body Sensor Networks (Sports-BSN)
SESAME: Sensing for Sport and Managed Exercise
EPSRC IRC 'SPHERE' - a Sensor Platform for HEalthcare in a Residential Environment
Enabling health, independence and wellbeing for psychiatric patients through personalised ambient monitoring (PAM)
Non invasive measurement of muscle oxygenation in elite athletes in the field

Original classification

Research Grant

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