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Related Experiment Video

Updated: Dec 25, 2025

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

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Progress on Range of Motion After Total Knee Replacement by Sensor-Based System.

Yo-Ping Huang1,2, Yu-Yu Liu1, Wei-Hsiu Hsu3

  • 1Department of Electrical Engineering, National Taipei University of Technology, Taipei 10608, Taiwan.

Sensors (Basel, Switzerland)
|March 22, 2020
PubMed
Summary

This study introduces a wearable sensor system to track total knee replacement (TKR) rehabilitation. The device accurately monitors knee motion, aiding recovery without space or time limits.

Keywords:
inertial measurement unit (IMU)range of motion (ROM)rehabilitation progresstotal knee replacement (TKR)

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Area of Science:

  • Biomedical Engineering
  • Rehabilitation Technology
  • Wearable Sensors

Background:

  • Post-total knee replacement (TKR) rehabilitation is crucial for restoring patient mobility.
  • Current monitoring methods may lack convenience or accuracy.
  • Objective assessment of knee function is vital for effective recovery.

Purpose of the Study:

  • To develop and validate a sensor-based system for monitoring TKR rehabilitation progress.
  • To assess the system's accuracy and usability compared to professional equipment.
  • To provide patients and clinicians with a reliable tool for tracking recovery.

Main Methods:

  • A hardware module with a triaxial accelerometer, gyroscope, microcontroller, and Bluetooth was designed.
  • A software application was developed to monitor knee joint motion.
  • Key metrics included number of swings, maximum knee flexion angle, and practice duration.
  • System performance was validated against a Cybex isokinetic dynamometer.

Main Results:

  • The sensor system demonstrated accuracy in monitoring knee rehabilitation progress.
  • Average absolute errors for measured angles ranged from 1.65° to 3.27° compared to the Cybex dynamometer.
  • The system offers usability without spatiotemporal constraints.

Conclusions:

  • The proposed sensor-based system is an effective and accurate tool for monitoring TKR rehabilitation.
  • It provides comparable results to professional rehabilitation equipment.
  • The system can enhance the monitoring of knee recovery, offering flexibility and precision.