Physiological Cost Optimization for Sit-to-Stand Transfer

Researchers have analyzed human movement coordination in a variety of ways using different optimization variables and functions. In this study we used a 4-link sagittal plane biomechanical model of sit-to-stand transfer to study physiological cost optimization. We regulated the movement with optimal...

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Published in2007 IEEE Region 5 Technical Conference pp. 147 - 152
Main Authors Mughal, A.M., Iqbal, K.
Format Conference Proceeding
LanguageEnglish
Published IEEE 01.04.2007
Subjects
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ISBN142441279X
9781424412792
DOI10.1109/TPSD.2007.4380370

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Abstract Researchers have analyzed human movement coordination in a variety of ways using different optimization variables and functions. In this study we used a 4-link sagittal plane biomechanical model of sit-to-stand transfer to study physiological cost optimization. We regulated the movement with optimal controller design emulating central nervous system decision making. In such scheme the state and inputs were weighted by penalty functions derived from physiological variables, i.e., center of mass and ground reaction forces. We tracked the position variables through reference trajectories, which were also used to generate active components of joint torques. Net torque comprising feedback and feedforward components resulted in stable STS transfer. Our results shows that analytical model with physiological cost functions provides efficient framework for the study of STS movement.
AbstractList Researchers have analyzed human movement coordination in a variety of ways using different optimization variables and functions. In this study we used a 4-link sagittal plane biomechanical model of sit-to-stand transfer to study physiological cost optimization. We regulated the movement with optimal controller design emulating central nervous system decision making. In such scheme the state and inputs were weighted by penalty functions derived from physiological variables, i.e., center of mass and ground reaction forces. We tracked the position variables through reference trajectories, which were also used to generate active components of joint torques. Net torque comprising feedback and feedforward components resulted in stable STS transfer. Our results shows that analytical model with physiological cost functions provides efficient framework for the study of STS movement.
Author Mughal, A.M.
Iqbal, K.
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  fullname: Iqbal, K.
  organization: Univ. of Arkansas at Little Rock, Little Rock
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Snippet Researchers have analyzed human movement coordination in a variety of ways using different optimization variables and functions. In this study we used a 4-link...
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StartPage 147
SubjectTerms Central nervous system
Centralized control
Control systems
Cost function
Decision making
Feedback
Optimal control
Sociotechnical systems
Torque
Trajectory
Title Physiological Cost Optimization for Sit-to-Stand Transfer
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