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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Vydané v:	International journal for numerical methods in biomedical engineering Ročník 31; číslo 9; s. e02721 - n/a
Hlavní autori:	Kim, Joo H., Roberts, Dustyn
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	England Blackwell Publishing Ltd 01.09.2015 Wiley Subscription Services, Inc
Predmet:	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
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Abstract	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.
AbstractList	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. 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. 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. 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.
Author	Kim, Joo H. Roberts, Dustyn
Author_xml	– sequence: 1 givenname: Joo H. surname: Kim fullname: Kim, Joo H. email: Correspondence to: Joo H. Kim, Department of Mechanical and Aerospace Engineering, New York University, Brooklyn, NY, USA., joo.h.kim@nyu.edu organization: Department of Mechanical and Aerospace Engineering, New York University, NY, Brooklyn, USA – sequence: 2 givenname: Dustyn surname: Roberts fullname: Roberts, Dustyn organization: Department of Mechanical and Aerospace Engineering, New York University, NY, Brooklyn, USA
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Keywords	first law of thermodynamics mechanical work metabolic energy expenditure joint space muscle activation generalized coordinates heat dissipation
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Snippet	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... 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... 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... 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...
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SubjectTerms	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
Title	A joint-space numerical model of metabolic energy expenditure for human multibody dynamic system
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