Knee braces are limited to providing passive support. There is currently no brace available providing both continuous monitoring and active robot-assisted movements of the knee joint. This project aimed to develop a wearable intelligent motorised robotic knee brace to support and monitor rehabilitation for a range of knee conditions including post-surgical rehabilitation. This brace can be used at home providing ambulatory continuous passive movement obviating the need for hospital admissions. A wearable sensing system monitoring knee range of motion was developed to provide remote feedback to clinicians and real-time guidance for patients. A prototype of an exoskeleton providing dynamic motion assistance was developed to help patients complete their exercise goals and strengthen their muscles. The accuracy and reliability of those functions were validated in human participants during exercises including knee flexion/extension (FE) in bed and in chair, sit-to-stand and stand-to-sit.Abstract
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Methodology
A spotlight has been placed upon virtual assessment of patients during the coronavirus pandemic. This has been particularly prevalent in the assessment of acute knee injuries. In this study we aim to assess the accuracy of telephone triage, confirmed by Magnetic Resonance Imaging (MRI) in the diagnosis of acute knee injuries. Case records of patients triaged by telephone in the acute knee clinic at Leeds General Infirmary were analysed. Provisional diagnoses made following telephone triage were compared to radiological diagnoses made on subsequent MRI scans. Diagnostic accuracy was compared between those patients assessed virtually and those assessed in face-to-face clinics.Abstract
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