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Related Experiment Video

Updated: Dec 1, 2025

Home-Based Monitor for Gait and Activity Analysis

Home-Based Monitor for Gait and Activity Analysis

Published on: August 8, 2019

Low-Complexity Design and Validation of Wireless Motion Sensor Node to Support Physiotherapy.

Jona Cappelle¹, Laura Monteyne¹, Jarne Van Mulders¹

¹DRAMCO, Department of Electrical Engineering, Ghent Technology Campus, Katholieke Universiteit Leuven, B-9000 Ghent, Belgium.

Sensors (Basel, Switzerland)

|November 11, 2020

Summary

This study introduces an affordable, wireless motion sensor node for physiotherapy, utilizing an inertial measurement unit (IMU). The device offers long battery life and accurate movement tracking for remote patient monitoring and treatment support.

Keywords:

e-health low power motion sensing physiotherapy wireless charging wireless connectivity

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Area of Science:

Biomedical Engineering
Rehabilitation Technology
Wearable Sensors

Background:

Physiotherapy requires accurate patient movement monitoring for effective treatment.
Existing motion capture systems can be expensive and complex, limiting accessibility.
There is a need for affordable, user-friendly sensor technology to support physiotherapy.

Purpose of the Study:

To develop and validate a low-cost, wireless motion sensor node for physiotherapy applications.
To assess the performance, accuracy, and usability of the developed sensor node.
To explore the potential of the sensor node for both in-clinic and remote patient monitoring.

Main Methods:

Design and fabrication of a motion sensor node using commodity components and an inertial measurement unit (IMU).
Implementation of wireless data exchange and charging capabilities.
Development and execution of calibration and validation procedures for sensor accuracy.
On-device sensor fusion for real-time data processing.

Main Results:

The sensor node prototype weighs 38g and measures 6cm x 1.5cm.
Achieved an operational autonomy of 28 hours and a standby time of 8 months.
Static results demonstrated an average accuracy of 3.28 degrees with a drift of 2 degrees per half hour.
The device offers wireless data exchange and charging.

Conclusions:

The developed motion sensor node is an affordable and accessible solution for physiotherapy.
It provides accurate and reliable motion tracking for live monitoring and post-treatment analysis.
The device facilitates remote patient monitoring and supports treatment follow-up in various settings.