The DOI matches its Crossref record.
Use of Optimization Techniques to Predict Muscle Forces
Abstract
Optimization solutions to the indeterminate distribution problem of determining muscle forces are discussed. A method of predicting muscle force during joint function is presented which encourages the prediction of synergistic muscle action with physiologically reasonable individual muscle forces. The method uses limits on muscle strength that are a set portion of the lowest muscle strength that will permit a solution at the particular joint moment. The method is shown to correlate well with recorded EMG activity.
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Citations
Cited by
Biomechanics of Fracture Risk Prediction of the Hip and Spine by Quantitative Computed Tomography
Hayes, W. C., Piazza, S. J., & Zysset, P. K. (1991) · Radiologic Clinics of North America · doi:10.1016/s0033-8389(22)02675-6 · Cited by 259
On the function of muscle and reflex partitioning
Windhorst, U., Hamm, T. M., & Stuart, D. G. (1989) · Behavioral and Brain Sciences · doi:10.1017/s0140525x00024985 · Cited by 182
Metadata
- Authors
- Crowninshield, R. D.
- Venue
- Journal of Biomechanical Engineering
- Publisher
- ASME International
- Published
- 1978-05-01
- Volume
- 100
- Issue
- 2
- Pages
- 88-92
- ISSN
- 0148-0731 (ISSN-L)
- 1528-8951
- OpenAlex
- W2065585431
- Cited by
- 328
- References
- 0
- FWCI
- 1.08
- Type
- journal article
- Language
- en
- Open access
- closed
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- CoChat. (2026). Citation check: Use of Optimization Techniques to Predict Muscle Forces. https://app.cochat.ai/papers/10.1115/1.3426197
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- Crowninshield, R. D. (1978). Use of Optimization Techniques to Predict Muscle Forces. Journal of Biomechanical Engineering. https://doi.org/10.1115/1.3426197
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
