I AM PHYSIO: Intelligent Assessment of Movement function for PHYSIOtherapy self-management

I AM PHYSIO：用于 PHYSIOtherapy 自我管理的运动功能智能评估

• 批准号: MR/W003775/1
• 负责人: Mark Elliott
• 金额: $ 4.74万
• 依托单位: University of Warwick
• 依托单位国家: 英国
• 项目类别: Research Grant
• 财政年份: 2021
• 资助国家: 英国
• 起止时间: 2021 至 无数据
• 项目状态: 已结题
• 来源: https://gtr.ukri.org/projects?ref=MR%2FW003775%2F1
• 关键词: AM; PHYSIO; Intelligent; Assessment; Movement

Many injuries require assessment and subsequent physiotherapy exercises to aid recovery. Successful recovery relies on patients adhering to the prescribed exercises and the correct intensities. Therefore, regular contact with clinicians is required, so they can assess recovery and check on exercise adherence. However, limited resources often mean long-periods between face-face consultations. The recent pandemic has further led to a rapid switch to remote consultations, with the physiotherapist having to assess the patient using video links. In this secondment the technical and research expertise of the secondee in the area of movement analysis will be combined with the host organisation's expertise on developing artificial intelligence platforms for physiotherapy triaging. Using this expertise, the secondment will focus on developing intelligent video-based tools that will measure movements of patients undergoing physiotherapy exercises and support the clinician to complete assessments remotely.

许多损伤需要评估和随后的物理治疗练习以帮助康复。成功的康复依赖于患者坚持规定的锻炼和正确的强度。因此，需要定期与临床医生联系，以便他们可以评估康复情况并检查运动依从性。然而，有限的资源往往意味着面对面咨询的间隔时间较长。最近的大流行进一步导致人们迅速转向远程咨询，物理治疗师必须使用视频链接对患者进行评估。在这次借调中，借调者在运动分析领域的技术和研究专业知识将与东道组织在开发用于物理治疗分类的人工智能平台方面的专业知识相结合。利用这些专业知识，借调人员将重点开发基于视频的智能工具，该工具将测量接受物理治疗练习的患者的运动并支持临床医生远程完成评估。

项目成果

A PROTOTYPE DATABASE PLATFORM FOR INTEGRATING AND SHARING BIOMECHANICS DATASETS RELATING TO KNEE OSTEOARTHRITIS

用于集成和共享与膝骨关节炎相关的生物力学数据集的原型数据库平台

• DOI: 10.1302/1358-992x.2023.16.034
• 发表时间: 2023
• 期刊: Orthopaedic Proceedings
• 作者: Elliott M

Exploring perceptions of using digital health platforms for self-managing musculoskeletal health conditions: A focus group study with older adults (Preprint)

探索使用数字健康平台自我管理肌肉骨骼健康状况的看法：针对老年人的焦点小组研究（预印本）

• DOI: 10.2196/preprints.55693
• 发表时间: 2023
• 作者: Clohessy S

Using Digital Tools in Clinical, Health and Social Care Research: A Mixed-Methods Study of UK Stakeholders

• DOI: 10.1101/2023.12.20.23300220
• 发表时间: 2023-12-21
• 期刊: medRxiv
• 作者: Clohessy，Sophie;Arvanitis，Theodoros N;Elliott，Mark T
• 通讯作者: Elliott，Mark T