Wearable EMG Measurement Device Using Polyurethane Foam for Motion Artifact Suppression.
Takuma Takagi1, Naoto Tomita1, Suguru Sato1
1Department of Precision Engineering, Graduate School of Engineering, The University of Tokyo, 7-3-1, Hongo, Bunkyo-ku, Tokyo 113-8654, Japan.
Sensors (Basel, Switzerland)
|May 25, 2024
Summary
Polyurethane foam suppresses motion artifacts in electromyography (EMG) measurements by stabilizing electrode contact pressure. This innovation enhances wearable EMG device accuracy for monitoring age-related muscle weakening during daily activities.
Area of Science:
- Biomedical Engineering
- Materials Science
- Wearable Technology
Background:
- Wearable electromyography (EMG) devices are crucial for monitoring muscle weakening in aging populations.
- Motion artifacts, caused by fluctuating electrode-skin contact pressure, hinder accurate daily EMG measurements.
- Existing methods struggle to maintain stable contact pressure during dynamic movements.
Purpose of the Study:
- To develop and validate a novel method for suppressing motion artifacts in EMG signals.
- To control and stabilize the contact pressure between EMG electrodes and skin during daily activities.
- To enhance the reliability of wearable EMG devices for long-term muscle health monitoring.
Main Methods:
- Designing and implementing a specialized polyurethane foam with a mechanical plateau region.
- Utilizing mechanical calculations and finite element method (FEM) simulations to analyze foam behavior.
- Optimizing polyurethane foam thickness to achieve target contact pressure (1.0–2.0 kPa).
Main Results:
- The polyurethane foam effectively created a stable contact pressure zone between the electrode and skin.
- FEM simulations confirmed the foam's significant influence on contact pressure regulation.
- Optimized foam design successfully controlled contact pressure within the desired range, suppressing motion artifacts.
Conclusions:
- Specially designed polyurethane foam is a viable solution for mitigating motion artifacts in wearable EMG.
- This approach significantly improves the accuracy and reliability of EMG measurements in real-world, dynamic environments.
- The findings pave the way for more robust and user-friendly EMG monitoring systems for aging populations.


