Prediction of ground reaction forces and moments during various activities of daily living.
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| Title: | Prediction of ground reaction forces and moments during various activities of daily living. |
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| Authors: | Fluit, R.1 r.fluit@ctw.utwente.nl, Andersen, M. S.2, Kolk, S.3, Verdonschota, N.1,4, Koopman, H. F. J. M.1 |
| Source: | Journal of Biomechanics. 2014, Vol. 47 Issue 10, p2321-2329. 9p. |
| Subjects: | Reaction forces, Physical activity, Musculoskeletal system, Human mechanics, Biomechanics, Medical sciences, Equations of motion |
| Abstract: | Inverse dynamics based simulations on musculoskeletal models is a commonly used method for the analysis of human movement. Due to inaccuracies in the kinematic and force plate data, and a mismatch between the model and the subject, the equations of motion are violated when solving the inverse dynamics problem. As a result, dynamic inconsistency will exist and lead to residual forces and moments. In this study, we present and evaluate a computational method to perform inverse dynamics-based simulations without force plates, which both improves the dynamic consistency as well as removes the model's dependency on measured external forces. Using the equations of motion and a scaled muscu-loskeletal model, the ground reaction forces and moments (GRF&Ms) are derived from three-dimensional full-body motion. The method entails a dynamic contact model and optimization techniques to solve the indeterminacy problem during a double contact phase and, in contrast to previously proposed techniques, does not require training or empirical data. The method was applied to nine healthy subjects performing several Activities of Daily Living (ADLs) and evaluated with simultaneously measured force plate data. Except for the transverse ground reaction moment, no significant differences (P >0.05) were found between the mean predicted and measured GRF&Ms for almost all ADLs. The mean residual forces and moments, however, were significantly reduced (P> 0.05) in almost all ADLs using our method compared to conventional inverse dynamic simulations. Hence, the proposed method may be used instead of raw force plate data in human movement analysis using inverse dynamics. [ABSTRACT FROM AUTHOR] |
| Copyright of Journal of Biomechanics is the property of Elsevier B.V. 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 | Links: – Type: pdflink Text: Availability: 0 |
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| Header | DbId: egs DbLabel: Engineering Source An: 96394179 AccessLevel: 6 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: Prediction of ground reaction forces and moments during various activities of daily living. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Fluit%2C+R%2E%22">Fluit, R.</searchLink><relatesTo>1</relatesTo><i> r.fluit@ctw.utwente.nl</i><br /><searchLink fieldCode="AR" term="%22Andersen%2C+M%2E+S%2E%22">Andersen, M. S.</searchLink><relatesTo>2</relatesTo><br /><searchLink fieldCode="AR" term="%22Kolk%2C+S%2E%22">Kolk, S.</searchLink><relatesTo>3</relatesTo><br /><searchLink fieldCode="AR" term="%22Verdonschota%2C+N%2E%22">Verdonschota, N.</searchLink><relatesTo>1,4</relatesTo><br /><searchLink fieldCode="AR" term="%22Koopman%2C+H%2E+F%2E+J%2E+M%2E%22">Koopman, H. F. J. M.</searchLink><relatesTo>1</relatesTo> – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22Journal+of+Biomechanics%22">Journal of Biomechanics</searchLink>. 2014, Vol. 47 Issue 10, p2321-2329. 9p. – Name: Subject Label: Subjects Group: Su Data: <searchLink fieldCode="DE" term="%22Reaction+forces%22">Reaction forces</searchLink><br /><searchLink fieldCode="DE" term="%22Physical+activity%22">Physical activity</searchLink><br /><searchLink fieldCode="DE" term="%22Musculoskeletal+system%22">Musculoskeletal system</searchLink><br /><searchLink fieldCode="DE" term="%22Human+mechanics%22">Human mechanics</searchLink><br /><searchLink fieldCode="DE" term="%22Biomechanics%22">Biomechanics</searchLink><br /><searchLink fieldCode="DE" term="%22Medical+sciences%22">Medical sciences</searchLink><br /><searchLink fieldCode="DE" term="%22Equations+of+motion%22">Equations of motion</searchLink> – Name: Abstract Label: Abstract Group: Ab Data: Inverse dynamics based simulations on musculoskeletal models is a commonly used method for the analysis of human movement. Due to inaccuracies in the kinematic and force plate data, and a mismatch between the model and the subject, the equations of motion are violated when solving the inverse dynamics problem. As a result, dynamic inconsistency will exist and lead to residual forces and moments. In this study, we present and evaluate a computational method to perform inverse dynamics-based simulations without force plates, which both improves the dynamic consistency as well as removes the model's dependency on measured external forces. Using the equations of motion and a scaled muscu-loskeletal model, the ground reaction forces and moments (GRF&Ms) are derived from three-dimensional full-body motion. The method entails a dynamic contact model and optimization techniques to solve the indeterminacy problem during a double contact phase and, in contrast to previously proposed techniques, does not require training or empirical data. The method was applied to nine healthy subjects performing several Activities of Daily Living (ADLs) and evaluated with simultaneously measured force plate data. Except for the transverse ground reaction moment, no significant differences (P >0.05) were found between the mean predicted and measured GRF&Ms for almost all ADLs. The mean residual forces and moments, however, were significantly reduced (P> 0.05) in almost all ADLs using our method compared to conventional inverse dynamic simulations. Hence, the proposed method may be used instead of raw force plate data in human movement analysis using inverse dynamics. [ABSTRACT FROM AUTHOR] – Name: AbstractSuppliedCopyright Label: Group: Ab Data: <i>Copyright of Journal of Biomechanics is the property of Elsevier B.V. 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: Identifiers: – Type: doi Value: 10.1016/j.jbiomech.2014.04.030 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 9 StartPage: 2321 Subjects: – SubjectFull: Reaction forces Type: general – SubjectFull: Physical activity Type: general – SubjectFull: Musculoskeletal system Type: general – SubjectFull: Human mechanics Type: general – SubjectFull: Biomechanics Type: general – SubjectFull: Medical sciences Type: general – SubjectFull: Equations of motion Type: general Titles: – TitleFull: Prediction of ground reaction forces and moments during various activities of daily living. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Fluit, R. – PersonEntity: Name: NameFull: Andersen, M. S. – PersonEntity: Name: NameFull: Kolk, S. – PersonEntity: Name: NameFull: Verdonschota, N. – PersonEntity: Name: NameFull: Koopman, H. F. J. M. IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 07 Text: 2014 Type: published Y: 2014 Identifiers: – Type: issn-print Value: 00219290 Numbering: – Type: volume Value: 47 – Type: issue Value: 10 Titles: – TitleFull: Journal of Biomechanics Type: main |
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