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Unsupervised IMU-based evaluation of at-home exercise programmes: a feasibility study.

Dimitrios-Sokratis Komaris1, Georgia Tarfali2, Brendan O'Flynn3

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Summary

Wearable sensors and inertial measurement units (IMUs) can effectively assess home-based physical therapy adherence. This technology supports unsupervised therapeutic exercises, promoting remote rehabilitation.

Keywords:
AccelerometerExercise adherenceMovement qualityPerformance assessment

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Area of Science:

  • Biomedical Engineering
  • Rehabilitation Science
  • Wearable Technology

Background:

  • Home-based physical therapy requires proper exercise execution for optimal benefits.
  • Wearable sensors and movement metrics can monitor at-home exercise performance and adherence.

Purpose of the Study:

  • To evaluate the use of wearable inertial measurement units (IMUs) for assessing adherence to home-based physical therapy.
  • To promote tools for unsupervised assessment of physical therapy programs, especially relevant for tele-rehabilitation.

Main Methods:

  • Thirty healthy volunteers performed five exercises, with movements captured by wearable IMUs.
  • Participants later performed exercises at home using the sensors for unsupervised data collection.
  • Movement performance was analyzed using metrics for smoothness, intensity, consistency, and control.

Main Results:

  • Exercise execution at home was generally similar to in-lab performance.
  • Participants tended to perform movements faster than demonstrated, highlighting the need for pace-setting feedback.
  • IMU-derived features showed sensitivity in evaluating unsupervised home-based programs.

Conclusions:

  • Cost-effective wearables can support therapeutic exercises by monitoring speed, intensity, smoothness, and range of motion.
  • The study supports the use of IMUs for sensitive, unsupervised assessment of home-based physical therapy adherence.
  • Findings are crucial for advancing tele-rehabilitation and remote patient monitoring.