A joint-space numerical model of metabolic energy expenditure for human multibody dynamic system

Summary 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 i...

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Bibliographic Details
Published in:International journal for numerical methods in biomedical engineering Vol. 31; no. 9; pp. e02721 - n/a
Main Authors: Kim, Joo H., Roberts, Dustyn
Format: Journal Article
Language:English
Published: England Blackwell Publishing Ltd 01.09.2015
Wiley Subscription Services, Inc
Subjects:
Adult
Energy Metabolism
Female
first law of thermodynamics
generalized coordinates
Heart Rate
heat dissipation
Hot Temperature
Humans
joint space
Joints - physiology
Knee - physiology
Male
mechanical work
metabolic energy expenditure
Models, Biological
Movement
muscle activation
Muscle, Skeletal - physiology
Nontherapeutic Human Experimentation
Reproducibility of Results
Thermodynamics
Walking
Young Adult
first law of thermodynamics
mechanical work
metabolic energy expenditure
joint space
muscle activation
generalized coordinates
heat dissipation
ISSN:2040-7939, 2040-7947
Online Access:Get full text
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Summary:Summary 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 in vitro 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 & Sons, Ltd. In this study, a joint‐space numerical model of metabolic energy expenditure (MEE) is derived by integrating the laws of thermodynamics and principles of multibody system dynamics, and a constrained multi‐objective optimization algorithm is established to estimate the model parameters. The joint‐space parameters estimated directly from active subjects provide reliable MEE estimates while avoiding the limitations in experimental measurements (phase delays, steady‐state and task restrictions) or muscle‐based models (excessive degrees of freedom, wrapping, and in vitro parameters). The model enables real‐time calculations of instantaneous MEE rate as a function of time for complex non‐periodic tasks.
Bibliography:ark:/67375/WNG-NGDSRP0X-W
NSF - No. CMMI-1436636
ArticleID:CNM2721
US National Science Foundation (NSF) Graduate Research Fellowship - No. DGE-1104522
istex:1BBA826A29FAF8FBC1C7DC21D72872558D984B5C
ObjectType-Article-1
SourceType-Scholarly Journals-1
ObjectType-Feature-2
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ISSN:2040-7939
2040-7947
DOI:10.1002/cnm.2721