5G4PHealth: Enhanced 5G-Powered Platform for Predictive Preventive Personalized and Participatory Healthcare

5G4PHealth：增强型 5G 支持平台，用于预测、预防、个性化和参与式医疗保健

• 批准号: 10093679
• 金额: $ 100.46万
• 依托单位: UNIVERSITY OF ESSEX
• 依托单位国家: 英国
• 项目类别: Collaborative R&D
• 财政年份: 2024
• 资助国家: 英国
• 起止时间: 2024 至 无数据
• 项目状态: 未结题
• 来源: https://gtr.ukri.org/projects?ref=10093679
• 关键词: 5G4PHealth; Enhanced; 5G; Powered; Platform

Musculoskeletal (MSK) conditions affect many people, including problems in joints, bones and muscles and sometimes associated tissues such as nerves. Over 20 million people in the UK, almost 30% of the population, have an MSK condition such as arthritis or back pain. Symptoms can include pain, stiffness, limited movement, and disability, which affect independence and quality of life. There is a significant impact on people and employers, and over 30 million working days are lost due to MSK conditions every year in the UK, and they account for up to 30% of GP consultations in England. MSK conditions account for the third-largest area of NHS spend, about £5 billion each year [\[1\]][0]. By 2030, over 15.3 million people in the UK will be over 65 years of age, resulting in an ever-increasing demand for MSK services. However, in the current rehabilitation process, there are persistent challenges for both patients and healthcare providers in terms of gathering necessary therapy information and reducing the risk of the rehabilitation process. Hence, there is a strong need for an effective rehabilitation tool that provides continuous and measurable real-time gait analysis of stroke survivors at home or in hospital environments. The UK consortium will focus on developing the following advantages in this project: 1) Lightweight, (near) real-time markerless posture detection software - a mobile phone-based software platform can be a potential alternative solution to the conventional marker-based solution to assist the clinical gait assessment in/out hospital environment. 2) 5G-empowered tele-rehabilitation assessment platform - a low-cost clinical prognosis application in mobile application and 5G powered cloud computing service, to increase intelligence, computing efficiency, and power efficiency of single-camera based markerless systems. 3) End user lab validation -- as this is an end-user-focused project, our platform will be used in lab trials, which allow participants to have feedback on the system as well as formally validate the system performance using one of our golden standards marker-based 3D vision motion capture Vicon systems. Such validation data will undoubtedly increase the confidence and quality of using such a platform in healthcare trials during telerehabilitation sessions.[0]: https://www.gov.uk/government/publications/musculoskeletal-health-applying-all-our-health/musculoskeletal-health-applying-all-our-health?&_ga=2.115276103.1912366926.1697446670-288334124.1673605915#:~:text=MSK%20conditions%20account%20for%20the,%C2%A35%20billion%20each%20year.&text=The%20pain%20and%20disability%20of,family%2C%20social%20and%20working%20life

肌肉骨骼（MSK）疾病影响许多人，包括关节，骨骼和肌肉以及有时相关组织（如神经）的问题。在英国，超过2000万人，几乎占人口的30%，患有MSK疾病，如关节炎或背痛。症状可能包括疼痛、僵硬、活动受限和残疾，影响独立性和生活质量。这对人们和雇主都有重大影响，英国每年因MSK条件损失超过3000万个工作日，占英格兰全科医生咨询的30%。MSK条件占NHS支出的第三大领域，每年约50亿英镑[1][0]。到2030年，英国将有超过1530万人超过65岁，这将导致对MSK服务的需求不断增加。然而，在当前的康复过程中，在收集必要的治疗信息和降低康复过程的风险方面，患者和医疗保健提供者都面临着持续的挑战。因此，迫切需要一种有效的康复工具，在家中或医院环境中为中风幸存者提供连续和可测量的实时步态分析。英国财团将在该项目中重点开发以下优势：1）轻量级（近）实时无标记姿势检测软件-基于移动的手机的软件平台可以成为传统基于标记的解决方案的潜在替代解决方案，以协助医院内外环境的临床步态评估。2)5G授权的远程康复评估平台-移动的应用和5G驱动的云计算服务中的低成本临床预后应用，以提高基于单摄像头的无标记系统的智能、计算效率和功率效率。3)最终用户实验室验证--由于这是一个以最终用户为中心的项目，我们的平台将用于实验室试验，允许参与者对系统进行反馈，并使用我们的黄金标准之一基于标记的3D视觉运动捕捉Vicon系统正式验证系统性能。这样的验证数据无疑将增加在远程康复会话期间在医疗保健试验中使用这样的平台的信心和质量。[0]：https://www.gov.uk/government/publications/musculoskeletal-health-applying-all-our-health/musculoskeletal-health-applying-all-our-health?&_网站ga=2.115276103.1912366926.1697446670-288334124.1673605915#：~：text= MSK%20conditions%20account%20for%20the，%C2%A35%20billion%20each%20year.& text=家庭%2C%20%20%20%20%20%20%20%20%20%20%20%20%20%20%20%20%20%20%20%20%20%20%20%20%20%20%20%20%20%20%20%20%20%20%20%20%20%20%20%20%20%20