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Updated: May 26, 2026

Computerized Dynamic Posturography for Postural Control Assessment in Patients with Intermittent Claudication
14:52

Computerized Dynamic Posturography for Postural Control Assessment in Patients with Intermittent Claudication

Published on: December 11, 2013

Posture strategies generated by constrained optimization.

Robert Pettersson1, Åsa Bartonek, Elena M Gutierrez-Farewik

  • 1KTH Mechanics, Royal Institute of Technology, Osquars backe 18, SE-100 44 Stockholm, Sweden.

Journal of Biomechanics
|January 6, 2012
PubMed
Summary
This summary is machine-generated.

This study developed a 3D biomechanical model to optimize posture strategies for individuals with motion disorders. The model accurately predicts the impact of disorders and orthotic interventions on posture and muscle effort.

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Evaluating Postural Control and Lower-extremity Muscle Activation in Individuals with Chronic Ankle Instability
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Computerized Dynamic Posturography for Postural Control Assessment in Patients with Intermittent Claudication
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Published on: December 11, 2013

Evaluating Postural Control and Lower-extremity Muscle Activation in Individuals with Chronic Ankle Instability
07:52

Evaluating Postural Control and Lower-extremity Muscle Activation in Individuals with Chronic Ankle Instability

Published on: September 18, 2020

Area of Science:

  • Biomechanics
  • Orthopedics
  • Computational Modeling

Background:

  • Posture significantly impacts fatigue, discomfort, and long-term deformities in individuals with motion disorders.
  • Orthopedic interventions like orthoses and surgery can improve posture by altering geometric properties.

Purpose of the Study:

  • To create and validate a 3D biomechanical model for studying posture strategies in individuals with motion disorders.
  • To simulate and predict the effects of motion disorders and external supports on posture.
  • To analyze muscle activation, center of mass, and joint moments during various postural strategies.

Main Methods:

  • Developed a 3D mechanical model with eight rigid segments and 30 muscle groups, incorporating varying moment arms and biarticular muscles.
  • Employed static optimization to solve muscle load sharing and determine optimal posture strategies based on minimal muscle activation.
  • Scaled anthropometry and strength to individual subjects, including pediatric data, and incorporated subject-specific constraints and external supports.

Main Results:

  • The model demonstrated reasonable to good agreement with experimental data from both able-bodied and motion-disordered subjects.
  • Simulations successfully predicted the effects of motion disorders and external supports on posture.
  • The model's utility was shown in parameter studies, such as varying ankle orthosis angles.

Conclusions:

  • The developed 3D biomechanical model is a valuable tool for understanding and predicting posture strategies in individuals with motion disorders.
  • The model can simulate the impact of orthopedic interventions and aid in personalized treatment planning.
  • It provides insights into muscle activity, joint moments, and center of mass dynamics for various postural scenarios.