A Weighted Least-Squares Method for Inverse Dynamic Analysis

Antonie J. van den Bogert; Anne Su

doi:10.1080/10255840701550865

A Weighted Least-Squares Method for Inverse Dynamic Analysis

Research output: Contribution to journal › Article › peer-review

Abstract

Internal forces in the human body can be estimated from measured movements and external forces using inverse dynamic analysis. Here we present a general method of analysis which makes optimal use of all available data, and allows the use of inverse dynamic analysis in cases where external force data is incomplete. The method was evaluated for the analysis of running on a partially instrumented treadmill. It was found that results correlate well with those of a conventional analysis where all external forces are known.

Original language	American English
Journal	Computer Methods in Biomechanics and Biomedical Engineering
Volume	11
DOIs	https://doi.org/10.1080/10255840701550865
State	Published - Feb 25 2008

Keywords

Inverse dynamics
Gait analysis
Multibody dynamics
Ground reaction force

Disciplines

Biomechanical Engineering

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10.1080/10255840701550865License: CC BY

A Weighted Least-Squares Method for Inverse Dynamic AnalysisFinal published version, 0.98 MBLicense: CC BY
A Weighted Least-Squares Method for Inverse Dynamic AnalysisFinal published version, 0.98 MBLicense: CC BY

Cite this

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title = "A Weighted Least-Squares Method for Inverse Dynamic Analysis",

abstract = " Internal forces in the human body can be estimated from measured movements and external forces using inverse dynamic analysis. Here we present a general method of analysis which makes optimal use of all available data, and allows the use of inverse dynamic analysis in cases where external force data is incomplete. The method was evaluated for the analysis of running on a partially instrumented treadmill. It was found that results correlate well with those of a conventional analysis where all external forces are known.",

keywords = "Inverse dynamics, Gait analysis, Multibody dynamics, Ground reaction force",

author = "\{van den Bogert\}, \{Antonie J.\} and Anne Su",

note = "Antonie J. van den Bogert, Anne Su. (2008). A weighted least squares method for inverse dynamic analysis. Computer Methods in Biomechanics and Biomedical Engineering, 11(1), 3-9.",

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T1 - A Weighted Least-Squares Method for Inverse Dynamic Analysis

AU - van den Bogert, Antonie J.

AU - Su, Anne

N1 - Antonie J. van den Bogert, Anne Su. (2008). A weighted least squares method for inverse dynamic analysis. Computer Methods in Biomechanics and Biomedical Engineering, 11(1), 3-9.

PY - 2008/2/25

Y1 - 2008/2/25

N2 - Internal forces in the human body can be estimated from measured movements and external forces using inverse dynamic analysis. Here we present a general method of analysis which makes optimal use of all available data, and allows the use of inverse dynamic analysis in cases where external force data is incomplete. The method was evaluated for the analysis of running on a partially instrumented treadmill. It was found that results correlate well with those of a conventional analysis where all external forces are known.

AB - Internal forces in the human body can be estimated from measured movements and external forces using inverse dynamic analysis. Here we present a general method of analysis which makes optimal use of all available data, and allows the use of inverse dynamic analysis in cases where external force data is incomplete. The method was evaluated for the analysis of running on a partially instrumented treadmill. It was found that results correlate well with those of a conventional analysis where all external forces are known.

KW - Inverse dynamics

KW - Gait analysis

KW - Multibody dynamics

KW - Ground reaction force

UR - https://engagedscholarship.csuohio.edu/enme_facpub/18

U2 - 10.1080/10255840701550865

DO - 10.1080/10255840701550865

M3 - Article

VL - 11

JO - Computer Methods in Biomechanics and Biomedical Engineering

JF - Computer Methods in Biomechanics and Biomedical Engineering

ER -

A Weighted Least-Squares Method for Inverse Dynamic Analysis

Abstract

Keywords

Disciplines

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