The mechanical effects of a muscle are related in part to the size of the muscle and to its location relative to the joint it crosses. For more than a century, researchers have expressed muscle size by its 'physiological cross-sectional area' (PCSA). Researchers mathematically calculating muscle and joint forces typically use some expression of a muscle's PCSA to constrain the solution to one which is reasonable (i.e. a solution in which small muscles may not have large forces, and large muscles have large forces when expected or when there is significant electromyographic activity). It is obvious that muscle mass (and therefore any expression of PCSA) varies significantly from person to person, even in individuals of similar weight and height. Since it is not practical to predict the PCSA of each muscle in a living subject's limb or trunk, it is important to generally understand the sensitivity of muscle force solutions to possible variations in PCSA. We used nonlinear optimization techniques to predict 47 muscle forces and hip contact forces in a living subject. The PCSA (volume/muscle fiber length) of each of 47 lower limb muscle elements from two cadaver specimens and the 47 PCSA's reported by pierrynowski were input into an optimization algorithm to create three solution sets. The three solutions were qualitatively similar but at times a predicted muscle force could vary as much as two to eight times. In contrast, the joint force solutions were within 11% of each other and, therefore, much less variable.(ABSTRACT TRUNCATED AT 250 WORDS)
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http://dx.doi.org/10.1016/0021-9290(86)90164-8 | DOI Listing |
J Neuroeng Rehabil
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Department of BioMechanical Engineering, Delft University of Technology, Mekelweg 2, Delft, 2628 CD, South-Holland, The Netherlands.
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February 2025
Department of Pathology, the First Affiliated Hospital of Air Force Medical University, Xi'an 710032, China.
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January 2025
Department of Health Promotion, School of Public Health, Faculty of Medical and Health Sciences, Sylvan Adams Sports Institute, Tel-Aviv University, Israel. Electronic address:
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Department of Cardiology, Xinqiao Hospital, Third Military Medical University (Army Medical University), Chongqing, China. Electronic address:
Previous studies have reported that mtDNA-CN of blood was associated with a series of aging-related diseases. However, it remains unknown whether mtDNA-CN can be a potential biomarker of acute aortic syndromes (AAS). The mtDNA-CN in blood of 190 male patients with AAS and 207 healthy controls were detected by standardized qPCR-based assay.
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The Joint Department of Biomedical Engineering, the University of North Carolina at Chapel Hill, Chapel Hill, NC, United States; North Carolina State University, Raleigh, NC, United States.
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