The DOI matches its Crossref record; 60 of the 60 references it cites were found in a registry or an index.
A Model of Human Muscle Energy Expenditure
Abstract
A model of muscle energy expenditure was developed for predicting thermal, as well as mechanical energy liberation during simulated muscle contractions. The model was designed to yield energy (heat and work) rate predictions appropriate for human skeletal muscle contracting at normal body temperature. The basic form of the present model is similar to many previous models of muscle energy expenditure, but parameter values were based almost entirely on mammalian muscle data, with preference given to human data where possible. Nonlinear phenomena associated with submaximal activation were also incorporated. The muscle energy model was evaluated at varying levels of complexity, ranging from simulated contractions of isolated muscle, to simulations of whole body locomotion. In all cases, acceptable agreement was found between simulated and experimental energy liberation. The present model should be useful in future studies of the energetics of human movement using forward dynamic computer simulation.
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Cites
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Mechanical power and efficiency of level walking with different stride rates
Umberger, B. R., & Martin, P. E. (2007) · Journal of Experimental Biology · doi:10.1242/jeb.000950 · Cited by 220
Self-citationResource allocation in mammalian systems
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Metadata
- Authors
- UMBERGER, B. R., GERRITSEN, K. G. M., & MARTIN, P. E.
- Venue
- Computer Methods in Biomechanics and Biomedical Engineering
- Publisher
- Informa UK Limited
- Published
- 2003-05
- Volume
- 6
- Issue
- 2
- Pages
- 99-111
- ISSN
- 1025-5842 (ISSN-L)
- 1476-8259
- OpenAlex
- W2116951991
- Cited by
- 379
- References
- 60
- FWCI
- 3.59
- Type
- journal article
- Language
- en
- Open access
- closed
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- UMBERGER, B. R., GERRITSEN, K. G. M., & MARTIN, P. E. (2003). A Model of Human Muscle Energy Expenditure. Computer Methods in Biomechanics and Biomedical Engineering. https://doi.org/10.1080/1025584031000091678
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
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