Electro-mechanical stability of surface EMG sensors

Area of Science:

• Biomedical Engineering
• Kinesiology
• Wearable Technology

Background:

• Surface electromyography (sEMG) sensors are crucial for measuring muscle activity.
• Sensor performance can be compromised by electro-mechanical instability and movement artifacts, particularly during vigorous activity.
• Optimizing sensor-skin interface is key to maintaining signal fidelity.

Purpose of the Study:

• To evaluate how sensor design and interface conditions affect sEMG signal detection.
• To investigate the impact of surface contours, adhesives, skin preparations, and gels on sensor performance.
• To identify methods for enhancing sEMG signal fidelity under dynamic conditions.

Main Methods:

• Compared sEMG sensor performance under varying detection surface contours and adhesive tapes.
• Assessed the influence of skin preparations and hydrophilic gels on movement artifacts.
• Tested sensor stability and artifact production under both dry and wet (perspiration) skin conditions.
• Utilized sinusoidal and impact mechanical perturbations to simulate movement.

Main Results:

• Contoured sensor surfaces and stronger adhesive tapes significantly increased the force required to disrupt electrical contact.
• Hydrophilic gels notably increased movement artifacts, especially on wet skin.
• Surfactant skin preparations did not affect movement artifact levels for either perturbation type.

Conclusions:

• Sensor design modifications, such as contouring and improved adhesion, enhance electro-mechanical stability.
• The use of hydrophilic gels should be reconsidered for sEMG applications prone to perspiration.
• Optimized sensor-skin interfacing strategies are vital for reliable sEMG signal acquisition during physical activity.