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Related Experiment Video

Updated: Apr 15, 2026

In Vitro Application of a Wireless Sensor in Flexion-Extension Gap Balance of Unicompartmental Knee Arthroplasty
07:33

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A wearable mobility assessment device for total knee replacement: A longitudinal feasibility study.

Richard M Kwasnicki1, Raza Ali1, Stevan J Jordan2

  • 1Hamlyn Centre, Institute of Global Health Innovation, Imperial College London, United Kingdom.

International Journal of Surgery (London, England)
|April 15, 2015
PubMed
Summary

An ear-worn motion sensor (e-AR) offers an objective way to track knee replacement recovery at home. This technology aids in assessing patient mobility and optimizing outcomes post-surgery.

Keywords:
MobilityPost-operativeSensorTotal knee replacement

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Area of Science:

  • Orthopedics
  • Biomedical Engineering
  • Rehabilitation Science

Background:

  • Total knee replacement (TKR) lacks objective metrics for patient assessment and follow-up.
  • Current methods are insufficient for optimizing patient outcomes in the peri-operative period.
  • Patients and healthcare providers need better tools for managing TKR recovery.

Purpose of the Study:

  • To evaluate the feasibility of using an ear-worn motion sensor (e-AR) for objective, home-based mobility assessments.
  • To explore the potential of e-AR sensor data for profiling patient recovery and detecting complications.
  • To investigate the use of sensor-derived data in supplementing surgical decision-making and community-based follow-up.

Main Methods:

  • Recruited 14 TKR patients and 15 healthy controls.
  • Collected data using the e-AR sensor during functional mobility tests and activity protocols pre-operatively and at multiple post-operative time points (1-24 weeks).
  • Extracted sensor motion data features to assess performance and predict recovery phases.

Main Results:

  • Sensor-derived mobility trends correlated with clinical measures, enabling individual recovery profiling.
  • The e-AR sensor successfully detected a patient complication.
  • Classification of subjects into distinct recovery groups (normal, pre-operative, 24-week post-operative) achieved 89% median accuracy.

Conclusions:

  • The e-AR sensor provides a novel, objective method for peri-operative mobility assessment.
  • This technology can supplement surgical decision-making.
  • It facilitates objective, community-based follow-up for total knee replacement patients.