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Inertial measurement units (IMUs) provide an accurate reading of an object’s movements. In the field of movement analysis IMUs can be used as an objective measure of mobility. Our research group has succeeded in developing a software package which provides an objective, quick and reliable way of measuring people’s gait (Esser, et.al., 2009).
Besides measurements of validity in a healthy population this system is also valid in neurological populations (Esser et.al., 2011, 2012). Temporal (step time and cadence) as well as spatial (step-, stride-time, walking speed) parameters can be derived. More in depth analysis can describe parameters indicating motor control (Esser et.al., 2013 & Collett et.al., 2014) but also potentially detect disease state and progression (Cuzzolin, et.al., 2017).
The strength in this analysis lies in the fact that it is mobile (Steins et.al., 2014), can be used for multiple applications and is not only restricted to human body analysis.
Currently this device is deployed on several internationally recognised cohorts resulting in around 26,000 measurements, whilst a relatively large database of 5,000 people is already held within the research team. Our goal is to develop and integrate this tool into the healthcare pathway, whereby clinicians as well as people within the community have a sensitive and reliable device to monitor their own mobility.
Principal Investigator: Dr Patrick Esser
Elizabeth Casson Trust
Southall and Brent Revisited cohort
Lifelong Health & Ageing (LHA) & MRC'46 cohort
Whitehall II Cohort
University of Oxford
Shanghai Jiao Tong University
The University of Jordan
Jordan University of Science and Technology