Creating a tool for early detection of pain and stiffness which occurs in the recovery phase of up to 20% of total knee replacement patients
Rehabilitation
We are creating a digital health tool utilising computer vision and real-time assessments to monitor and improve knee recovery after total knee replacement (TKR). This tool will help detect early signs of knee stiffness and provide personalised feedback to prevent complications.
There is currently no tool to remotely and accurately detect the development of early post-surgical knee stiffness. Therefore this project is working to:
The study has three stages;
The research team will apply for an NIHR (National Institute for Health Research) grant to evaluate the Knee4Life tool on a larger scale. This step is essential to assess the effectiveness and scalability of the tool for broader use across the NHS and potentially other healthcare systems.
Phaedra Leveridge (University of Exeter)
Prof. David Keene (University of Exeter)
Elizabeth Jacobs
Dr Nicholas Kelson
Dr Athia Haron
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