REMEDI

Remote Monitoring and Early Detection of Diabetic Foot Complications (REMEDI)

Dr Stephen Mizzi from the Dept of Podiatry, Faculty of Health Sciences, Principal Investigator
Prof. Owen Falzon, Co-investigator
Dr Mark Borg, Research Support Officer IV
Mr Robert Farrugia, Research Support Officer II

Funding Body: Xjenza, Fusion Technology Development Programme

Began: February 2024

Summary

The REMEDI project involves a collaboration between the Centre for Biomedical Cybernetics and the Department of Podiatry. The aim of the REMEDI project is to further develop a dynamic temperature data acquisition in-shoe system that transmits temperature data from an insole sensor array to a mobile app via Bluetooth. The transmitted data is processed and analysed using advanced data analysis and machine learning techniques to detect early signs of arising foot complications. The system developments will provide users with real-time alerts and suggestions for remedial actions, and will provide clinicians and consultants with access to regular objective data relating to the patient’s condition. This will allow for better-informed and timely decisions by clinicians, thus enhancing personalised patient-oriented care even during strict isolation measures.

Project objectives:

• further develop the hardware and firmware for use by patients outside the laboratory, and in real-world scenarios;
• in conjunction with (i), to develop a patient-oriented mobile app that allows ease
  of use of the system by patients at their homes;
• analysis of real-world data acquired from the system consisting of the insole temperature data (but also including accelerometer data for tracking of patient activity,
  and ambient temperature data, that have to date not been considered);
• development of more advanced data analysis techniques that are applicable for
  the real-world patient data that will be gathered during the course of this project.