Efficacy of quantifying marker-cluster rigidity in a multi-segment foot model: a Monte-Carlo based global sensitivity analysis and regression model

Chan Po-Hsiang; Stebbins Julie; Zavatsky Amy B.

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Efficacy of quantifying marker-cluster rigidity in a multi-segment foot model: a Monte-Carlo based global sensitivity analysis and regression model

机译：Efficacy of quantifying marker-cluster rigidity in a multi-segment foot model: a Monte-Carlo based global sensitivity analysis and regression model

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摘要

Marker-based clinical gait analysis and multi-segment foot models (MSFM) have been successfully used for the diagnosis and clinical management of various lower limb disorders. The accuracy and validity of the kinematics measured depend on the design of the model, as well as on the adherence to its inherent rigid body assumption. This study applies a Monte-Carlo based global sensitivity analysis to evaluate the efficacy of using 'rigid body error (sigma RBE)' in quantifying the rigidity of a MSFM marker-cluster. A regression model is proposed. It is concluded that sigma RBE is effective in quantifying rigidity.

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来源
《Computer methods in biomechanics and biomedical engineering》 |2022年第4期|308-319|共12页
作者
Chan Po-Hsiang; Stebbins Julie; Zavatsky Amy B.;
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作者单位

Univ Oxford, Dept Engn Sci, Oxford, England;

Nuffield Orthopaed Ctr NHS Trust, Oxford Gait Lab, Oxford, England;

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正文语种英语
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Global sensitivity analysis; rigidity; Procrustes; foot model; Monte-Carlo; marker-cluster;

Efficacy of quantifying marker-cluster rigidity in a multi-segment foot model: a Monte-Carlo based global sensitivity analysis and regression model

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