A joint‐space numerical model of metabolic energy expenditure for human multibody dynamic system. (24th June 2015)
- Record Type:
- Journal Article
- Title:
- A joint‐space numerical model of metabolic energy expenditure for human multibody dynamic system. (24th June 2015)
- Main Title:
- A joint‐space numerical model of metabolic energy expenditure for human multibody dynamic system
- Authors:
- Kim, Joo H.
Roberts, Dustyn - Abstract:
- <abstract abstract-type="main"> <title>Summary</title> <p>Metabolic energy expenditure (MEE) is a critical performance measure of human motion. In this study, a general joint‐space numerical model of MEE is derived by integrating the laws of thermodynamics and principles of multibody system dynamics, which can evaluate MEE without the limitations inherent in experimental measurements (phase delays, steady state and task restrictions, and limited range of motion) or muscle‐space models (complexities and indeterminacies from excessive DOFs, contacts and wrapping interactions, and reliance on <italic>in vitro</italic> parameters). Muscle energetic components are mapped to the joint space, in which the MEE model is formulated. A constrained multi‐objective optimization algorithm is established to estimate the model parameters from experimental walking data also used for initial validation. The joint‐space parameters estimated directly from active subjects provide reliable MEE estimates with a mean absolute error of 3.6 ± 3.6% relative to validation values, which can be used to evaluate MEE for complex non‐periodic tasks that may not be experimentally verifiable. This model also enables real‐time calculations of instantaneous MEE rate as a function of time for transient evaluations. Although experimental measurements may not be completely replaced by model evaluations, predicted quantities can be used as strong complements to increase reliability of the results and yield unique<abstract abstract-type="main"> <title>Summary</title> <p>Metabolic energy expenditure (MEE) is a critical performance measure of human motion. In this study, a general joint‐space numerical model of MEE is derived by integrating the laws of thermodynamics and principles of multibody system dynamics, which can evaluate MEE without the limitations inherent in experimental measurements (phase delays, steady state and task restrictions, and limited range of motion) or muscle‐space models (complexities and indeterminacies from excessive DOFs, contacts and wrapping interactions, and reliance on <italic>in vitro</italic> parameters). Muscle energetic components are mapped to the joint space, in which the MEE model is formulated. A constrained multi‐objective optimization algorithm is established to estimate the model parameters from experimental walking data also used for initial validation. The joint‐space parameters estimated directly from active subjects provide reliable MEE estimates with a mean absolute error of 3.6 ± 3.6% relative to validation values, which can be used to evaluate MEE for complex non‐periodic tasks that may not be experimentally verifiable. This model also enables real‐time calculations of instantaneous MEE rate as a function of time for transient evaluations. Although experimental measurements may not be completely replaced by model evaluations, predicted quantities can be used as strong complements to increase reliability of the results and yield unique insights for various applications. Copyright © 2015 John Wiley &amp; Sons, Ltd.</p> </abstract> … (more)
- Is Part Of:
- International journal for numerical methods in biomedical engineering. Volume 31:Number 9(2015:Sep.)
- Journal:
- International journal for numerical methods in biomedical engineering
- Issue:
- Volume 31:Number 9(2015:Sep.)
- Issue Display:
- Volume 31, Issue 9 (2015)
- Year:
- 2015
- Volume:
- 31
- Issue:
- 9
- Issue Sort Value:
- 2015-0031-0009-0000
- Page Start:
- n/a
- Page End:
- n/a
- Publication Date:
- 2015-06-24
- Subjects:
- Biomedical engineering -- Periodicals
Imaging systems in medicine -- Periodicals
Numerical analysis -- Periodicals
Engineering mathematics -- Periodicals
610.28 - Journal URLs:
- http://onlinelibrary.wiley.com/journal/10.1002/(ISSN)2040-7947 ↗
http://onlinelibrary.wiley.com/ ↗ - DOI:
- 10.1002/cnm.2721 ↗
- Languages:
- English
- ISSNs:
- 2040-7939
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - 4542.403550
British Library DSC - BLDSS-3PM
British Library HMNTS - ELD Digital store - Ingest File:
- 2999.xml