Joint-space dynamic model of metabolic cost with subject-specific energetic parameters

Dustyn Roberts; Howard Hillstrom; Joo H. Kim

doi:10.1115/DETC201434192

Joint-space dynamic model of metabolic cost with subject-specific energetic parameters

Dustyn Roberts, Howard Hillstrom, Joo H. Kim

Mechanical and Aerospace Engineering

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Abstract

Metabolic energy expenditure (MEE) is commonly used to characterize human motion. In this study, a general joint-space dynamic model of MEE is developed by integrating the principles of thermodynamics and multibody system dynamics in a joint-space model that enables the evaluation of MEE without the limitations inherent in experimental measurements or muscle-space models. Muscle-space energetic components are mapped to the joint space, in which the MEE model is formulated. A constrained optimization algorithm is used to estimate the model parameters from experimental walking data. The joint-space parameters estimated directly from active subjects provide reliable estimates of the trend of the cost of transport at different walking speeds. The quantities predicted by this model, such as cost of transport, can be used as strong complements to experimental methods to increase the reliability of results and yield unique insights for various applications.

Original language	English (US)
Title of host publication	34th Computers and Information in Engineering Conference
Publisher	American Society of Mechanical Engineers (ASME)
ISBN (Electronic)	9780791846285
DOIs	https://doi.org/10.1115/DETC201434192
State	Published - 2014
Event	ASME 2014 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference, IDETC/CIE 2014 - Buffalo, United States Duration: Aug 17 2014 → Aug 20 2014

Publication series

Name	Proceedings of the ASME Design Engineering Technical Conference
Volume	1A

Other

Other	ASME 2014 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference, IDETC/CIE 2014
Country	United States
City	Buffalo
Period	8/17/14 → 8/20/14

ASJC Scopus subject areas

Modeling and Simulation
Mechanical Engineering
Computer Science Applications
Computer Graphics and Computer-Aided Design

Access to Document

10.1115/DETC201434192

Fingerprint Dive into the research topics of 'Joint-space dynamic model of metabolic cost with subject-specific energetic parameters'. Together they form a unique fingerprint.

Cite this

Roberts, D., Hillstrom, H., & Kim, J. H. (2014). Joint-space dynamic model of metabolic cost with subject-specific energetic parameters. In 34th Computers and Information in Engineering Conference (Proceedings of the ASME Design Engineering Technical Conference; Vol. 1A). American Society of Mechanical Engineers (ASME). https://doi.org/10.1115/DETC201434192

Joint-space dynamic model of metabolic cost with subject-specific energetic parameters. / Roberts, Dustyn; Hillstrom, Howard; Kim, Joo H.

34th Computers and Information in Engineering Conference. American Society of Mechanical Engineers (ASME), 2014. (Proceedings of the ASME Design Engineering Technical Conference; Vol. 1A).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Roberts, D, Hillstrom, H & Kim, JH 2014, Joint-space dynamic model of metabolic cost with subject-specific energetic parameters. in 34th Computers and Information in Engineering Conference. Proceedings of the ASME Design Engineering Technical Conference, vol. 1A, American Society of Mechanical Engineers (ASME), ASME 2014 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference, IDETC/CIE 2014, Buffalo, United States, 8/17/14. https://doi.org/10.1115/DETC201434192

@inproceedings{92c0e144124e4b31b6a3f4c7d678eeeb,

title = "Joint-space dynamic model of metabolic cost with subject-specific energetic parameters",

abstract = "Metabolic energy expenditure (MEE) is commonly used to characterize human motion. In this study, a general joint-space dynamic model of MEE is developed by integrating the principles of thermodynamics and multibody system dynamics in a joint-space model that enables the evaluation of MEE without the limitations inherent in experimental measurements or muscle-space models. Muscle-space energetic components are mapped to the joint space, in which the MEE model is formulated. A constrained optimization algorithm is used to estimate the model parameters from experimental walking data. The joint-space parameters estimated directly from active subjects provide reliable estimates of the trend of the cost of transport at different walking speeds. The quantities predicted by this model, such as cost of transport, can be used as strong complements to experimental methods to increase the reliability of results and yield unique insights for various applications.",

author = "Dustyn Roberts and Howard Hillstrom and Kim, {Joo H.}",

year = "2014",

doi = "10.1115/DETC201434192",

language = "English (US)",

series = "Proceedings of the ASME Design Engineering Technical Conference",

publisher = "American Society of Mechanical Engineers (ASME)",

booktitle = "34th Computers and Information in Engineering Conference",

note = "ASME 2014 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference, IDETC/CIE 2014 ; Conference date: 17-08-2014 Through 20-08-2014",

}

TY - GEN

T1 - Joint-space dynamic model of metabolic cost with subject-specific energetic parameters

AU - Roberts, Dustyn

AU - Hillstrom, Howard

AU - Kim, Joo H.

PY - 2014

Y1 - 2014

N2 - Metabolic energy expenditure (MEE) is commonly used to characterize human motion. In this study, a general joint-space dynamic model of MEE is developed by integrating the principles of thermodynamics and multibody system dynamics in a joint-space model that enables the evaluation of MEE without the limitations inherent in experimental measurements or muscle-space models. Muscle-space energetic components are mapped to the joint space, in which the MEE model is formulated. A constrained optimization algorithm is used to estimate the model parameters from experimental walking data. The joint-space parameters estimated directly from active subjects provide reliable estimates of the trend of the cost of transport at different walking speeds. The quantities predicted by this model, such as cost of transport, can be used as strong complements to experimental methods to increase the reliability of results and yield unique insights for various applications.

AB - Metabolic energy expenditure (MEE) is commonly used to characterize human motion. In this study, a general joint-space dynamic model of MEE is developed by integrating the principles of thermodynamics and multibody system dynamics in a joint-space model that enables the evaluation of MEE without the limitations inherent in experimental measurements or muscle-space models. Muscle-space energetic components are mapped to the joint space, in which the MEE model is formulated. A constrained optimization algorithm is used to estimate the model parameters from experimental walking data. The joint-space parameters estimated directly from active subjects provide reliable estimates of the trend of the cost of transport at different walking speeds. The quantities predicted by this model, such as cost of transport, can be used as strong complements to experimental methods to increase the reliability of results and yield unique insights for various applications.

UR - http://www.scopus.com/inward/record.url?scp=84961377466&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=84961377466&partnerID=8YFLogxK

U2 - 10.1115/DETC201434192

DO - 10.1115/DETC201434192

M3 - Conference contribution

AN - SCOPUS:84961377466

T3 - Proceedings of the ASME Design Engineering Technical Conference

BT - 34th Computers and Information in Engineering Conference

PB - American Society of Mechanical Engineers (ASME)

T2 - ASME 2014 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference, IDETC/CIE 2014

Y2 - 17 August 2014 through 20 August 2014

ER -