TECHNIQUE FOR THE ESTIMATION OF THE KINEMATIC PARAMETERS OF A SPATIAL ANATOMICAL JOINT MODEL.

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2 Citations (Scopus)

Abstract

This paper describes a general technique for fitting a kinematic model to an in-vivo anatomical joint under typical physiological loading conditions. The method employs a nonlinear least squares algorithm to minimize the aggregate deviation over multiple joint positions between postulated model performance and experimentally measured anatomical joint performance. Formulation of a universal joint with skew oblique revolutes to best reproduce wrist motion was selected as an example. The uniqueness and power of the joint modeling technique described herein are three-fold. First, the technique permits the in-vivo fitting of a model for any anatomical joint under physiological loading conditions simulating a given activity under study (e. g. , an implement striking task). Second, the technique directly evaluates all joint parameters for a postulated kinematic model via least squares optimization and may be applied to a broad range of spatial joint model types. Third, the key factor in this technique is an inner sub-optimization to effectively close the postulated model mechansim at selected measured positions thus allowing formulation of joint models which more exactly match anatomical performance.

Original languageEnglish (US)
Pages (from-to)219-222
Number of pages4
JournalAmerican Society of Mechanical Engineers, Applied Mechanics Division, AMD
Volume32
StatePublished - Jan 1 1979
EventBiomech Symp, Presented at the Jt ASME-CSME (Can Soc for Mech Eng) Appl Mech, Fluid Eng, and Bioeng Conf - Niagara Falls, NY, USA
Duration: Jun 18 1979Jun 20 1979

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Kinematics
Universal joints

All Science Journal Classification (ASJC) codes

  • Mechanical Engineering

Cite this

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title = "TECHNIQUE FOR THE ESTIMATION OF THE KINEMATIC PARAMETERS OF A SPATIAL ANATOMICAL JOINT MODEL.",
abstract = "This paper describes a general technique for fitting a kinematic model to an in-vivo anatomical joint under typical physiological loading conditions. The method employs a nonlinear least squares algorithm to minimize the aggregate deviation over multiple joint positions between postulated model performance and experimentally measured anatomical joint performance. Formulation of a universal joint with skew oblique revolutes to best reproduce wrist motion was selected as an example. The uniqueness and power of the joint modeling technique described herein are three-fold. First, the technique permits the in-vivo fitting of a model for any anatomical joint under physiological loading conditions simulating a given activity under study (e. g. , an implement striking task). Second, the technique directly evaluates all joint parameters for a postulated kinematic model via least squares optimization and may be applied to a broad range of spatial joint model types. Third, the key factor in this technique is an inner sub-optimization to effectively close the postulated model mechansim at selected measured positions thus allowing formulation of joint models which more exactly match anatomical performance.",
author = "{Sommer, III}, {Henry Joseph} and Miller, {N. R.}",
year = "1979",
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language = "English (US)",
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issn = "0160-8835",

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AU - Sommer, III, Henry Joseph

AU - Miller, N. R.

PY - 1979/1/1

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N2 - This paper describes a general technique for fitting a kinematic model to an in-vivo anatomical joint under typical physiological loading conditions. The method employs a nonlinear least squares algorithm to minimize the aggregate deviation over multiple joint positions between postulated model performance and experimentally measured anatomical joint performance. Formulation of a universal joint with skew oblique revolutes to best reproduce wrist motion was selected as an example. The uniqueness and power of the joint modeling technique described herein are three-fold. First, the technique permits the in-vivo fitting of a model for any anatomical joint under physiological loading conditions simulating a given activity under study (e. g. , an implement striking task). Second, the technique directly evaluates all joint parameters for a postulated kinematic model via least squares optimization and may be applied to a broad range of spatial joint model types. Third, the key factor in this technique is an inner sub-optimization to effectively close the postulated model mechansim at selected measured positions thus allowing formulation of joint models which more exactly match anatomical performance.

AB - This paper describes a general technique for fitting a kinematic model to an in-vivo anatomical joint under typical physiological loading conditions. The method employs a nonlinear least squares algorithm to minimize the aggregate deviation over multiple joint positions between postulated model performance and experimentally measured anatomical joint performance. Formulation of a universal joint with skew oblique revolutes to best reproduce wrist motion was selected as an example. The uniqueness and power of the joint modeling technique described herein are three-fold. First, the technique permits the in-vivo fitting of a model for any anatomical joint under physiological loading conditions simulating a given activity under study (e. g. , an implement striking task). Second, the technique directly evaluates all joint parameters for a postulated kinematic model via least squares optimization and may be applied to a broad range of spatial joint model types. Third, the key factor in this technique is an inner sub-optimization to effectively close the postulated model mechansim at selected measured positions thus allowing formulation of joint models which more exactly match anatomical performance.

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