Development of an intelligent robotic knee device for older people with knee osteoarthritis

This project develops a knee device to support and monitor rehabilitation of individuals suffering from knee osteoarthritis. Users will wear the device during exercises and daily activities with the device providing muscle support to the individual but also real-time feedback on their progress to clinicians. This information will help to find the best treatment during rehabilitation, leading to better patient outcomes.


Catalyst R2

Lead Organisation

University of Bristol


Yorkshire & The Humber


Managing Complaints of Ageing, Sustaining Physical Activity

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About the project

Knee osteoarthritis is one of the leading causes of chronic pain and disability in older people. Rehabilitation exercise is an essential treatment to reduce osteoarthritis pain, improve knee function and increase mobility. It is important for clinicians to be able to monitor certain signals such as load (weight) and motion during the exercise, so that they can develop a personalised rehabilitation plan for each patient. Currently, clinicians have no access to these signals and they have to use questionnaires and simple functional tests to evaluate the effect of the exercises. This relies heavily on individual experience rather than personalised monitoring, so patients often do not receive the best treatment to meet their needs.

This project will develop a knee device to support and monitor rehabilitation and provide scientific evidence for clinicians to evaluate the rehabilitation progress for their patients. This will ensure that patients get the best rehabilitation treatment which will relieve pain, improve overall physical knee function and prevent disability.

Patients will wear the device during their rehabilitation exercises and daily activities. Real-time feedback from the device will enable patients to monitor and manage their rehabilitation progress. Physiotherapists can adjust the exercise programme remotely to meet the patients’ individual needs by analysing signals collected from the device. Patients will also get real-time muscle support from the device to help them achieve exercise goals or do daily activities such as walking, gardening or climbing stairs. With this device, older people can enjoy physical activities, living longer and more fulfilling lives.


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