LEGEND (smart LEGgings for rEhabilitatioN in a meDical setting)

由于人口日益老龄化，现在比以往任何时候都更有必要实施预防性护理方法，而不是针对肌肉骨骼疾病（骨关节炎、膝关节疼痛、背痛）的反应性护理，以提高日益老龄化人口的生活质量。这可以节省大量的时间和资源，同时使用客观、连续的数据来支持针对患者的量身定制的护理，从而改善患者的整体结果。肌肉骨骼疾病患者的治疗和康复目前依赖于矫形器和运动捕捉室的使用来评估恢复和运动。然而，这些往往是昂贵的，并且不能在很长一段时间内为现实生活中的日常场景提供监控。如果没有适当的、量身定制的治疗，许多患有这些慢性疾病的患者最终需要手术或终身残疾。此外，临床医生无法以快速和客观的方式评估进展。KYMIRA用于远程医疗监测的智能可穿戴设备提供了跨多个临床相关参数的非侵入性连续高保真数据收集的阶段性变化，以检测早期变化并提供定制的预防和早期治疗解决方案。该项目将建立在KYMIRA屡获殊荣的智能运动服装解决方案的基础上，该解决方案将适用于医疗应用，以远程监测患有肌肉骨骼疾病的患者。该项目使用了配备传感器的智能服装，这些传感器可以捕捉和整合日常运动和活动中的运动和关节角度数据。这种易于使用、灵活的智能服装嵌入了电子设备，患者可以穿着而不会打断他们的日常活动。根据这些数据，可以提供个性化的锻炼和运动计划，以持续改善肌肉骨骼状况和康复，以支持健康和福祉，这是本次比赛的更广泛主题之一。

Due to an increasingly ageing population, now more than ever, it is necessary to implement a preventative care approach as opposed to reactive care for musculoskeletal conditions (osteoarthritis, knee pain, back pain) to improve the quality of life of an ever-ageing population. This enables significant time and resource savings whilst improving overall patient outcomes using objective, continuous data to support patient-specific, tailored care.Treatment and rehabilitation for patients with musculoskeletal conditions currently relies on orthoses and the use of motion capture rooms to assess recovery and movement. However, these tend to be expensive and do not provide monitoring in real-life, everyday scenarios over a long period of time. Without appropriate, tailored treatment, many patients who suffer from these chronic conditions end up needing surgery or suffer from lifelong disabilities. Additionally, clinicians are unable to assess progress in a way that is quick and objective.KYMIRA's smart wearable for remote medical monitoring offers a step-change in non-invasive continuous high-fidelity data collection across multiple clinically relevant parameters, to detect early changes and offer customised preventive and early treatment solutions.The project will build on KYMIRA's award-winning smart sports clothing solutions, which will be adapted for a medical application to remotely monitor patients with musculoskeletal conditions. The project uses smart garments equipped with sensors that capture and integrate movement and joint angle data during everyday movements and activities.This easy-to-use, flexible smart garment with embedded electronics can be worn by patients without interrupting their usual activities. Based on the data, personalised exercise and movement programmes can be provided to enable continuous improvement of musculoskeletal conditions and rehabilitation, to support health and wellbeing, one of the competition broader themes of this competition.