Computer-Vision aided community back pain Physiotherapy services

计算机视觉辅助社区背痛物理治疗服务

• 批准号: 79429
• 金额: $ 34.09万
• 依托单位: GOOD BOOST WELLBEING LIMITED
• 依托单位国家: 英国
• 项目类别: Collaborative R&D
• 财政年份: 2020
• 资助国家: 英国
• 起止时间: 2020 至 无数据
• 项目状态: 已结题
• 来源: https://gtr.ukri.org/projects?ref=79429
• 关键词: Computer; Vision; aided; community; back

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.

Good Boost是一家医疗技术社会企业，为英国患有MSK疾病的人提供支持。Good Boost通过在公共游泳池提供水上康复锻炼，并通过其防水平板电脑上的人工智能软件，积极影响用户的健康。为了应对新冠肺炎，Good Boost利用其现有技术设计，构建和提供锻炼软件，以便在用户自己的家中安全舒适地交付。三分之一的MSK患者年龄超过60岁，并且很大一部分人患有一种或多种长期健康状况，如糖尿病或心脏病。由于这一人群在新冠肺炎感染情况下出现健康并发症的风险增加，因此在家中提供数字物理治疗服务至关重要。由于物理治疗和关节手术服务的更改和取消，随着MSK卫生系统努力克服COVID-19给它带来的挑战，Good Boost的个性化康复训练支持MSK条件的管理。该项目的技术重点是计算机视觉技术的开发（人工智能视频分析）来评估背痛患者的功能功能和运动。背痛每年影响英国三分之一的人口，对医疗服务和经济产生巨大影响。计算机视觉技术将使用手机/平板电脑/网络摄像头上的现有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制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（炎症性脊柱关节炎）类别的更严重的背痛状况。这种终身的状况在二十出头时表现为“常规”背痛。由于其与其他非严重背痛的相似性，它的诊断平均延迟8.5年。计算机视觉系统将能够根据理疗运动评估的最佳实践，对这些疾病进行远程筛查，以筛查和监测轴向脊柱关节病。Good Boost由临床和技术专家组成的专家团队组成，他们在全国范围内成功开发和提供医疗软件和社区卫生服务。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推广，以最大限度地提高知名度和吸收率。该工具将免费用于初步评估，以确保在全国范围内使用。对于正在进行的评估和个性化定制的康复练习，用户可以选择订阅每月的Good Boost应用程序（每月4英镑）.这个高价值的项目将支持成千上万的人在自己的家中显着改善他们的背痛，功能和生活质量除了减少延迟诊断轴性脊柱关节病.该项目将节省医疗成本，减轻疫情期间NHS的整体负担，并无限期提供长期社区服务，通过远程身体功能评估减少汽车旅行和碳排放。