Related Experiment Video
Updated: Apr 15, 2026

07:33
In Vitro Application of a Wireless Sensor in Flexion-Extension Gap Balance of Unicompartmental Knee Arthroplasty
Published on: May 5, 2023
1.3K
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
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.
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.

