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Capturing Dynamic Finger Gesturing with High-resolution Surface Electromyography and Computer Vision

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Open-source, MRI-compatible grip force sensor for dynamic muscle imaging.

Sabine Räuber^1,2, Regina Schlaeger^3,4, Marta Brigid Maggioni^5,6

¹Department of Biomedical Engineering, Basel Muscle MRI (BAMM), University of Basel, Basel, Switzerland. sabine.raeuber@unibas.ch.

Magma (New York, N.Y.)

|July 25, 2025

Summary

This summary is machine-generated.

Researchers developed an open-source, low-cost, MRI-compatible grip force sensor. This device enables accurate muscle force measurement during dynamic MRI with neuromuscular electrical stimulation (NMES).

Keywords:

3D printing Electric stimulation MRI Muscles

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Area of Science:

Biomedical Engineering
Medical Imaging
Neuroscience

Background:

Dynamic MRI synchronized with neuromuscular electrical stimulation (NMES) is valuable for muscle activity assessment.
Accurate correlation of muscle dynamics requires MRI-compatible force sensors.
Existing sensors are often costly, MR-incompatible, or use proprietary software.

Purpose of the Study:

To present an open-source, low-cost, MRI-compatible grip force sensor.
To provide a viable alternative to expensive commercial force sensors for MRI applications.

Main Methods:

Phantom measurements at 3T MRI to evaluate sensor compatibility and impact on image quality (SNR, B0 homogeneity).
Integration of the force sensor into a dynamic MRI setup with NMES.
In vivo testing on four human subjects.

Main Results:

The sensor showed good MRI compatibility with minimal impact on SNR and B0 homogeneity.
Dynamic MRI with NMES and the sensor successfully retrieved muscle velocity fields using phase-contrast MRI.
Image quality was preserved during dynamic assessments.

Conclusions:

The developed grip force sensor is open-source, including design, building instructions, and software.
This facilitates adaptation for various applications requiring grip force recording within an MRI scanner.