Computer-Vision aided community back pain Physiotherapy services

Good Boost是一家医疗技术社会企业，支持英国MSK患者。Good Boost通过在公共游泳池提供水上康复锻炼以及通过其防水平板电脑上的人工智能软件对用户的健康产生积极影响。作为对新冠肺炎的回应，Good Boost基于其现有技术来设计、构建和交付锻炼软件，以便在用户自己的家中安全舒适地进行锻炼。患有MSK的人中有三分之一超过60岁，其中很高比例的人患有一种或多种长期健康状况，如糖尿病或心脏病。由于这一人群在感染新冠肺炎时出现健康并发症的风险增加，因此在家中提供数字理疗服务至关重要。由于理疗和关节手术服务的改变和取消，Good Boost的个性化康复练习支持MSK病情的管理，因为MSK健康系统正在努力克服新冠肺炎\对其施加的挑战。该项目的技术重点是开发计算机视觉技术(人工智能视频分析)来评估背痛患者的功能功能和运动。背痛每年影响三分之一的英国人口，对医疗服务和经济造成巨大影响。计算机视觉技术将使用手机/平板电脑/网络摄像头上现有的摄像头来评估个人的运动和功能，并根据计算机视觉脊柱评估推荐量身定做的自我管理建议和康复练习。该项目包括开发进一步的计算机视觉评估、运动和功能测试，以筛选属于轴性脊柱关节病(炎症性脊椎关节炎)类别的更严重的背部疼痛情况。这种终生的症状在20岁出头的时候表现为“经常性的”背部疼痛。由于它与其他非严重的背部疼痛情况相似，它的诊断平均延迟8.5年。计算机视觉系统将能够按照物理治疗运动评估在筛查和监测轴突关节病方面的最佳实践进行远程筛查。Good Boost由一个由临床和技术专家组成的专家团队组成，他们在全国范围内开发和提供医疗软件和社区卫生服务方面有着成功的记录。计算机视觉工具将作为一种数字工具与肌肉骨骼慈善机构合作进行推广，以最大限度地提高可见性和接受度。该工具将免费用于初步评估，以确保全国范围内的可及性。对于正在进行的评估和个性化的康复练习，用户可以选择订阅每月Good Boost应用程序(每月4 GB)。这个高价值的项目将支持数千人在自己的家中显著改善他们的背痛、功能和生活质量，此外还可以减少诊断枢椎脊柱关节病的延迟。该项目将在大流行期间节省医疗成本，减轻NHS的整体负担，并无限期地提供长期社区服务，通过远程身体功能评估减少汽车旅行和碳排放。

Good Boost is a medical technology social enterprise supporting people living with MSK conditions in the UK. Good Boost positively impact users' health through the delivery of aquatic rehabilitation-exercise in public swimming pools and via its AI software on waterproof tablet computers.In response to Covid-19, Good Boost has built upon its existing technology to design, build and deliver exercise software to be delivered in the safety and comfort of users' own homes. One-third of people living with an MSK condition are over 60-years old and a high proportion live with one or more long-term health condition such as diabetes or heart disease. As this population has an increased risk of health complications in the event of Covid-19 infection, it is essential that digital physiotherapy services are available at home. Due to the alteration and cancellation of physiotherapy and joint surgery services, Good Boost's individually-tailored rehabilitation exercises support the management of MSK conditions as the MSK health system work to overcome the challenges placed upon it by Covid-19\.The focus of the technology in this project is the development of computer-vision technology (artificial intelligence video analysis) to assess the functional function and movement of people with back pain. Back pain affects one-third of the UK population every year with a huge impact on the health service and economy. The computer-vision technology will use existing cameras on phones/tablets/webcams to assess an individual's movement and function and recommend tailored self-management advice and rehabilitation exercises based on the computer-vision spinal assessment. This project includes the development of further computer-vision assessment movement and functional tests to screen for more serious back pain conditions that fall under the category of Axial Spondyloarthropathy (inflammatory spine arthritis). This life-long condition presents in the early twenties as 'regular' back pain. Due to its similarity to other non-serious back pain conditions, it has an average 8.5 year delay to diagnosis. The computer-vision system will enable the remote screening of these conditions following the best-practice in Physiotherapy movement assessment in screening and monitoring Axial Spondyloarthropathy.Good Boost comprises an expert team of clinical and technology specialists with a successful track record of developing and delivering medical software and community health services on a national scale. The computer-vision tool will be promoted as a digital tool in collaboration with musculoskeletal charities to maximise visibility and uptake. The tool will be free to use for initial assessment to ensure nationwide accessibility. For ongoing assessments and individually-tailored rehabilitation exercises, users have the option to subscribe to the monthly Good Boost app (£4 per month).This high-value project will support thousands of people in their own home to significantly improve their back pain, function and quality of life in addition to reducing the delay to diagnosis for Axial Spondyloarthropathy. The project will generate health cost savings and reduce the overall burden on the NHS during the pandemic and indefinitely provide a long-term community service that reduces car journeys and carbon emissions through remote physical function assessments.