Early warning wearable device project
Mae'r cynnwys hwn ar gael yn Saesneg yn unig.
Knee pain and/or diabetic peripheral neuropathy are common clinical problems. Both conditions result in a disruption to how people move, making them more likely to be physically inactive, have difficulties with activities of daily living such as walking and stair climbing and be at higher risk of falling.
With an aging population the number of people suffering with these problems is predicted to increase causing greater burden and costs to society and the health service. The aim of this study is to develop a new smart health solution which will be a home-based intelligent rehabilitation and monitoring platform, using over the counter technology. This will be driven by computer algorithms that can compile information about how people move, symptoms and clinical data to personalise the rehabilitation to the individual.
This study will measure people's movement, symptoms and self-reported health data over time. There will be two parts to data collection. In part 1 individuals will attend the university and have an in-depth assessment of how they move during everyday tasks using ‘gold-standard’ technology. This will be repeated after 2 weeks. In part 2 they will wear up to 3 sensors on their pelvis and legs as well as foot pressure insoles in their shoes for 2 hours a day whilst they are walking, exercising or performing activities of daily living. Individuals will also be asked to fill in questionnaires about their symptoms, general health and medications and experience of using the technology. We aim to recruit 183 individuals with musculoskeletal pain, diabetes and people with neither of these conditions.
At the end of this study, we plan to have developed a home-based intelligent rehabilitation platform that will be ready to be tested in a trial to evaluate its full benefit and cost for patients with knee pain and diabetic peripheral neuropathy and the NHS.
This project is funded by The European Interreg France (Channel) England programme.