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采取预防性护理方法，而不是对肌肉骨骼疾病(骨关节炎、膝盖疼痛、背部疼痛)进行反应性护理，以改善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，同时改善整体患者的预后。目前，肌肉骨骼疾病患者的治疗和康复依赖于矫形器和使用运动捕捉室来评估恢复和运动。然而，这些往往很昂贵，并且不能在现实生活中提供长期的日常监控。如果没有适当的、量身定制的治疗，许多患有这些慢性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步骤，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获奖的智能运动服装解决方案的基础上，该解决方案将针对医疗应用进行调整，以远程监控肌肉骨骼疾病的患者。该项目使用配备传感器的智能服装，在日常运动和活动中捕捉和集成运动和关节角度数据。这种易于使用、灵活的嵌入电子设备的智能服装可以在不中断患者日常活动的情况下穿着。根据数据，可以提供个性化的锻炼和运动方案，以使肌肉骨骼条件和康复不断改善，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.