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

许多损伤需要评估和随后的物理治疗练习来帮助恢复。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，以便他们可以评估恢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磋商之间的间隔时间很长。最近的大流行病进一步导致迅速转向远程咨询，理疗师不得不使用视频链接对病人进行评估。在这次借调中，借调人员在运动分析领域的技术和研究专长将与东道国组织在开发物理治疗分诊人工智能平台方面的专长相结合。利用这一专业知识，借调人员将专注于开发智能视频工具，这些工具将测量接受理疗锻炼的患者的运动，并支持临床医生远程完成评估。

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.