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 language | English (US) |
|---|---|
| Pages (from-to) | 219-222 |
| Number of pages | 4 |
| Journal | American Society of Mechanical Engineers, Applied Mechanics Division, AMD |
| Volume | 32 |
| State | Published - Jan 1 1979 |
| Event | Biomech 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 1979 → Jun 20 1979 |
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All Science Journal Classification (ASJC) codes
- Mechanical Engineering
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TECHNIQUE FOR THE ESTIMATION OF THE KINEMATIC PARAMETERS OF A SPATIAL ANATOMICAL JOINT MODEL. / Sommer, III, Henry Joseph; Miller, N. R.
In: American Society of Mechanical Engineers, Applied Mechanics Division, AMD, Vol. 32, 01.01.1979, p. 219-222.Research output: Contribution to journal › Conference article
TY - JOUR
T1 - TECHNIQUE FOR THE ESTIMATION OF THE KINEMATIC PARAMETERS OF A SPATIAL ANATOMICAL JOINT MODEL.
AU - Sommer, III, Henry Joseph
AU - Miller, N. R.
PY - 1979/1/1
Y1 - 1979/1/1
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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M3 - Conference article
AN - SCOPUS:0018678964
VL - 32
SP - 219
EP - 222
JO - American Society of Mechanical Engineers, Applied Mechanics Division, AMD
JF - American Society of Mechanical Engineers, Applied Mechanics Division, AMD
SN - 0160-8835
ER -