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Related Experiment Video

Updated: Jun 24, 2026

Digital Home-Monitoring of Patients after Kidney Transplantation: The MACCS Platform
07:13

Digital Home-Monitoring of Patients after Kidney Transplantation: The MACCS Platform

Published on: April 12, 2021

An Intelligent Remote Monitoring System for Total Knee Arthroplasty Patients.

Yunus Msayib1,2, Patrick Gaydecki3, Michael Callaghan4,5,6

  • 1Institute of Biomedical Engineering, Department of Engineering Science, University of Oxford, Oxford, UK. yunus.msayib@eng.ox.ac.uk.

Journal of Medical Systems
|April 20, 2017
PubMed
Summary

This study introduces a novel system for remote monitoring of knee flexion after total knee arthroplasty (TKA). The device enables accurate, at-home tracking of patient progress, improving compliance and reducing healthcare burdens.

Keywords:
FlexionRemote monitoringTelemonitoringTotal knee arthroplastymHealth

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Area of Science:

  • Biomedical Engineering
  • Rehabilitation Technology
  • Orthopedic Surgery

Background:

  • Traditional post-total knee arthroplasty (TKA) monitoring involves frequent outpatient visits.
  • Current protocols face challenges including patient mobility restrictions, missed appointments, and difficulties ensuring home exercise compliance.
  • These limitations result in significant economic and social costs for patients and healthcare systems.

Purpose of the Study:

  • To develop and describe an automated system for monitoring knee flexion in a domestic setting.
  • To overcome the limitations of traditional outpatient monitoring for TKA patients.
  • To provide clinicians with accessible, real-time data on patient recovery and exercise adherence.

Main Methods:

  • A wearable sensor system with master and slave units attached to the thigh and shin.
  • Measurement and recording of knee flexion angles during prescribed exercises.
  • Utilisation of Global System for Mobile Communications (GSM) infrastructure for secure data transmission to a hospital server via an integrated modem.
  • Clinician access to patient data through internet-connected computers.

Main Results:

  • The system automatically monitors knee flexion within the patient's home environment.
  • Data is transmitted wirelessly, eliminating the need for patient-owned communication devices or internet access.
  • Clinicians can remotely access and interpret patient progress data.

Conclusions:

  • The developed system offers a viable, automated solution for remote monitoring of knee flexion post-TKA.
  • It addresses key challenges of traditional rehabilitation protocols, enhancing patient convenience and compliance.
  • This technology has the potential to reduce healthcare costs and improve patient outcomes through continuous, reliable data monitoring.