Automated muscle path calibration with gradient-specified optimization based on moment arm

As long as the muscle is represented as a cable wrapping around obstacles, our method overcomes difficulties in path calibration, both for developing generic models and for customizing subject-specific models. This allows efficient enhancement of simulation accuracy for applications such as rehabilitation planning, surgical outcome prediction, and athletic performance analysis.

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Publication Details

Journal
IEEE Transactions on Biomedical Engineering
Published
2025-10-13
DOI
https://doi.org/10.1109/tbme.2025.3620626
Primary Topic
Muscle activation and electromyography studies
Type
article
Field-Weighted Citation Impact
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article

Automated muscle path calibration with gradient-specified optimization based on moment arm

Sami Haddadin, Ziyu Chen, Tingli Hu, David W. Franklin
IEEE Transactions on Biomedical Engineering
Muscle activation and electromyography studies
article

Automated muscle path calibration with gradient-specified optimization based on moment arm

Sami Haddadin, Ziyu Chen, Tingli Hu, David W. Franklin
article en

Abstract

As long as the muscle is represented as a cable wrapping around obstacles, our method overcomes difficulties in path calibration, both for developing generic models and for customizing subject-specific models. This allows efficient enhancement of simulation accuracy for applications such as rehabilitation planning, surgical outcome prediction, and athletic performance analysis.

IEEE Transactions on Biomedical EngineeringVol. PP
Technical University of Munich (DE)
Openalex Percentile: Top 72%
Muscle activation and electromyography studies
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