Fast Muscle-parameter Calibration using EMG and Markerless Kinematics for Neuromusculoskeletal Modeling: Application to Hand-cycling

Amedeo Ceglia; François Bailly; Pierre Puchaud; Lama Seoud; Mickaël Begon

doi:10.1109/tbme.2026.3668071

January 1, 2026IEEE Transactions on Biomedical Engineering

Fast Muscle-parameter Calibration using EMG and Markerless Kinematics for Neuromusculoskeletal Modeling: Application to Hand-cycling

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Key Points

To develop a rapid and reliable method for calibrating upper-limb musculoskeletal models to enhance muscle force estimates.
Utilized electromyography (EMG) for muscle activity measurement.
Implemented markerless kinematics to track movement without the use of physical markers.
Developed a calibration framework for neuromusculoskeletal modeling.
Achieved faster calibration times compared to traditional methods.
Improved accuracy in muscle force estimations for upper-limb movements.
Demonstrated clinical applicability in hand-cycling activities.

Implication

This approach calibrates muscle parameters in upper-limb models, improving force estimation in hand-cycling, suggesting clinical benefits.

Abstract

This approach provides a fast and reliable framework for upper-limb musculoskeletal calibration, facilitating more accurate and clinically applicable muscle force estimation.

Discussion

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Cite This Study

Ceglia et al. (2026) studied this question.

synapsesocial.com/papers/69a285da0a974eb0d3c00cf2 https://doi.org/10.1109/tbme.2026.3668071

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Fast Muscle-parameter Calibration using EMG and Markerless Kinematics for Neuromusculoskeletal Modeling: Application to Hand-cycling

Key Points

Implication

Abstract

Discussion

Cite This Study

Fast Muscle-parameter Calibration using EMG and Markerless Kinematics for Neuromusculoskeletal Modeling: Application to Hand-cycling

Key Points

Implication

Abstract

Discussion

Cite This Study

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