Comparison of different methods for estimating muscle forces in human movement.
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| Title: | Comparison of different methods for estimating muscle forces in human movement. |
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| Authors: | Lin YC (AUTHOR), Dorn TW (AUTHOR), Schache AG (AUTHOR), Pandy MG (AUTHOR), Lin, Yi-Chung1 (AUTHOR), Dorn, Tim W (AUTHOR), Schache, Anthony G (AUTHOR), Pandy, Marcus G (AUTHOR) |
| Source: | Proceedings of the Institution of Mechanical Engineers -- Part H -- Journal of Engineering in Medicine (Professional Engineering Publishing). 2012 Feb, Vol. 226 Issue 2, p103-112. 10p. |
| Abstract: | The aim of this study was to compare muscle-force estimates derived for human locomotion using three different methods commonly reported in the literature: static optimisation (SO), computed muscle control (CMC) and neuromusculoskeletal tracking (NMT). In contrast with SO, CMC and NMT calculate muscle forces dynamically by including muscle activation dynamics. Furthermore, NMT utilises a time-dependent performance criterion, wherein a single optimisation problem is solved over the entire time interval of the task. Each of these methods was used in conjunction with musculoskeletal modelling and experimental gait data to determine lower-limb muscle forces for self-selected speeds of walking and running. Correlation analyses were performed for each muscle to quantify differences between the various muscle-force solutions. The patterns of muscle loading predicted by the three methods were similar for both walking and running. The correlation coefficient between any two sets of muscle-force solutions ranged from 0.46 to 0.99 (p < 0.001 for all muscles). These results suggest that the robustness and efficiency of static optimisation make it the most attractive method for estimating muscle forces in human locomotion. [ABSTRACT FROM AUTHOR] |
| Copyright of Proceedings of the Institution of Mechanical Engineers -- Part H -- Journal of Engineering in Medicine (Professional Engineering Publishing) is the property of Professional Engineering Publishing and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.) | |
| Database: | Engineering Source |
| FullText | Text: Availability: 0 |
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| Header | DbId: egs DbLabel: Engineering Source An: 108174882 AccessLevel: 6 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: Comparison of different methods for estimating muscle forces in human movement. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Lin+YC%22">Lin YC</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Dorn+TW%22">Dorn TW</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Schache+AG%22">Schache AG</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Pandy+MG%22">Pandy MG</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Lin%2C+Yi-Chung%22">Lin, Yi-Chung</searchLink><relatesTo>1</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Dorn%2C+Tim+W%22">Dorn, Tim W</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Schache%2C+Anthony+G%22">Schache, Anthony G</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Pandy%2C+Marcus+G%22">Pandy, Marcus G</searchLink> (AUTHOR) – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22Proceedings+of+the+Institution+of+Mechanical+Engineers+--+Part+H+--+Journal+of+Engineering+in+Medicine+%28Professional+Engineering+Publishing%29%22">Proceedings of the Institution of Mechanical Engineers -- Part H -- Journal of Engineering in Medicine (Professional Engineering Publishing)</searchLink>. 2012 Feb, Vol. 226 Issue 2, p103-112. 10p. – Name: Abstract Label: Abstract Group: Ab Data: The aim of this study was to compare muscle-force estimates derived for human locomotion using three different methods commonly reported in the literature: static optimisation (SO), computed muscle control (CMC) and neuromusculoskeletal tracking (NMT). In contrast with SO, CMC and NMT calculate muscle forces dynamically by including muscle activation dynamics. Furthermore, NMT utilises a time-dependent performance criterion, wherein a single optimisation problem is solved over the entire time interval of the task. Each of these methods was used in conjunction with musculoskeletal modelling and experimental gait data to determine lower-limb muscle forces for self-selected speeds of walking and running. Correlation analyses were performed for each muscle to quantify differences between the various muscle-force solutions. The patterns of muscle loading predicted by the three methods were similar for both walking and running. The correlation coefficient between any two sets of muscle-force solutions ranged from 0.46 to 0.99 (p < 0.001 for all muscles). These results suggest that the robustness and efficiency of static optimisation make it the most attractive method for estimating muscle forces in human locomotion. [ABSTRACT FROM AUTHOR] – Name: AbstractSuppliedCopyright Label: Group: Ab Data: <i>Copyright of Proceedings of the Institution of Mechanical Engineers -- Part H -- Journal of Engineering in Medicine (Professional Engineering Publishing) is the property of Professional Engineering Publishing and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.) |
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| RecordInfo | BibRecord: BibEntity: Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 10 StartPage: 103 Titles: – TitleFull: Comparison of different methods for estimating muscle forces in human movement. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Lin YC – PersonEntity: Name: NameFull: Dorn TW – PersonEntity: Name: NameFull: Schache AG – PersonEntity: Name: NameFull: Pandy MG – PersonEntity: Name: NameFull: Lin, Yi-Chung – PersonEntity: Name: NameFull: Dorn, Tim W – PersonEntity: Name: NameFull: Schache, Anthony G – PersonEntity: Name: NameFull: Pandy, Marcus G IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 02 Text: 2012 Feb Type: published Y: 2012 Identifiers: – Type: issn-print Value: 09544119 Numbering: – Type: volume Value: 226 – Type: issue Value: 2 Titles: – TitleFull: Proceedings of the Institution of Mechanical Engineers -- Part H -- Journal of Engineering in Medicine (Professional Engineering Publishing) Type: main |
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