I AM PHYSIO: Intelligent Assessment of Movement function for PHYSIOtherapy self-management
Lead Research Organisation:
University of Warwick
Department Name: WMG
Abstract
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.
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.
Technical Summary
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.
The secondee has expertise in motion capture methods and data analysis of movement data for inferring health status. The host organisation has developed novel physiotherapy triaging tools using artificial intelligence and machine learning methods. The secondment project will focus on developing video-based assessment of movement function. This will be achieved through a combination of new motion capture data led by the secondee, online public datasets and new data captured from the current app userbase. A generative modelling approach will be used to assess functional movement from pose estimates extracted from video data.
The resulting solution will provide physiotherapists with the next-generation of tools to support assessments when working on remote video call platforms.
The secondee has expertise in motion capture methods and data analysis of movement data for inferring health status. The host organisation has developed novel physiotherapy triaging tools using artificial intelligence and machine learning methods. The secondment project will focus on developing video-based assessment of movement function. This will be achieved through a combination of new motion capture data led by the secondee, online public datasets and new data captured from the current app userbase. A generative modelling approach will be used to assess functional movement from pose estimates extracted from video data.
The resulting solution will provide physiotherapists with the next-generation of tools to support assessments when working on remote video call platforms.
Publications
Elliott M
(2023)
A PROTOTYPE DATABASE PLATFORM FOR INTEGRATING AND SHARING BIOMECHANICS DATASETS RELATING TO KNEE OSTEOARTHRITIS
in Orthopaedic Proceedings
Description | AI for MSK ITU Topic Group |
Geographic Reach | Multiple continents/international |
Policy Influence Type | Contribution to new or Improved professional practice |
URL | https://extranet.itu.int/sites/itu-t/focusgroups/ai4h/tg/SitePages/TG-MSK.aspx |
Description | Testing the feasibility of capturing objective functional measures using a digital physiotherapy platform |
Amount | £41,792 (GBP) |
Organisation | National Institute for Health Research |
Sector | Public |
Country | United Kingdom |
Start | 04/2023 |
End | 10/2023 |
Description | Careers in Health Research (ECR Workshop) |
Form Of Engagement Activity | Participation in an activity, workshop or similar |
Part Of Official Scheme? | No |
Geographic Reach | Local |
Primary Audience | Postgraduate students |
Results and Impact | Invited speakers from EQL to attend the event and present a talk about developing careers in a Health Technology company |
Year(s) Of Engagement Activity | 2022 |
URL | https://warwick.ac.uk/research/priorities/health/events/healthecrsymposium/ |
Description | EQL Blog / Press Release |
Form Of Engagement Activity | A press release, press conference or response to a media enquiry/interview |
Part Of Official Scheme? | No |
Geographic Reach | National |
Primary Audience | Media (as a channel to the public) |
Results and Impact | Joint press release and blog page to announce the start of the secondment. |
Year(s) Of Engagement Activity | 2021 |
URL | https://www.eql.ai/blog/eql-partners-with-university-of-warwicks-institute-of-digital-health-at-the-... |