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BioMedical Engineering Online
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publication venue for: Modeling the neuro-mechanics of human balance when recovering from a fall: A continuous-time approach
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RDF description of Modeling the neuro-mechanics of human balance when recovering from a fall: A continuous-time approach - http://orbis.uaslp.mx/vivo/individual/scopus6230
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date: 2026-08-26T03:26:17
publisher: vivo
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Modeling the neuro-mechanics of human balance when recovering from a fall: A continuous-time approach
type: Article
artnum: 67
related by: authorship_40347
most specific type: Article
crisid: 6231
pmid: 32867771
type: Document
abstract: Background: Balance control deteriorates with age and nearly 30%25 of the elderly population in the United States reports stability problems. Postural stability is an integral task to daily living reliant upon the control of the ankle and hip. To this end, the estimation of joint parameters can be a useful tool when analyzing compensatory actions aimed at maintaining postural stability. Methods: Using an analytical approach, this study expands on previous work and analyzes a two degrees of freedom human model. The first two modes of vibration of the system are represented by the neuro-mechanical parameters of a second-order, time-varying Kelvin-Voigt model actuated at the ankle and hip. The model is tested using a custom double inverted pendulum and healthy volunteers who were subjected to a positional step-like perturbation during quiet standing. An in silico sensitivity analysis of the influence of inertial parameters was also performed. Results: The proposed method is able to correctly identify the time-varying visco-elastic parameters of of a double inverted pendulum. We show that that the parameter estimation method can be applied to standing humans. These results appear to identify a subject-independent strategy to control quiet standing that combines both the modulation of stiffness, and the use of an intermittent control. Conclusions: This paper presents the analysis of the non-linear system of differential equations representing the control of lumped muscle-tendon units. It utilizes motion capture measurements to obtain the estimates of the system's control parameters by constructing a simple time-dependent regressor for estimating the time-varying parameters of the control with a single perturbation. This work is a step forward into the understanding of the neuro-mechanical control parameters of human recovering from a fall. In previous literature, the analysis is either restricted to the first vibrational mode of an inverted-pendulum model or assumed to b…
related by: authorship_40345
issue: 1
related by: authorship_40346
type: Entity
type: Continuant
most specific type: Document
volume: 19
origen: scopus
type: Thing
abstract: Background: Balance control deteriorates with age and nearly 30%25 of the elderly population in the United States reports stability problems. Postural stability is an integral task to daily living reliant upon the control of the ankle and hip. To this end, the estimation of joint parameters can be a useful tool when analyzing compensatory actions aimed at maintaining postural stability. Methods: Using an analytical approach, this study expands on previous work and analyzes a two degrees of freedom human model. The first two modes of vibration of the system are represented by the neuro-mechanical parameters of a second-order, time-varying Kelvin-Voigt model actuated at the ankle and hip. The model is tested using a custom double inverted pendulum and healthy volunteers who were subjected to a positional step-like perturbation during quiet standing. An in silico sensitivity analysis of the influence of inertial parameters was also performed. Results: The proposed method is able to correctly identify the time-varying visco-elastic parameters of of a double inverted pendulum. We show that that the parameter estimation method can be applied to standing humans. These results appear to identify a subject-independent strategy to control quiet standing that combines both the modulation of stiffness, and the use of an intermittent control. Conclusions: This paper presents the analysis of the non-linear system of differential equations representing the control of lumped muscle-tendon units. It utilizes motion capture measurements to obtain the estimates of the system%27s control parameters by constructing a simple time-dependent regressor for estimating the time-varying parameters of the control with a single perturbation. This work is a step forward into the understanding of the neuro-mechanical control parameters of human recovering from a fall. In previous literature, the analysis is either restricted to the first vibrational mode of an inverted-pendulum model or assumed to…
freetext keyword: Dynamic model; Human balance; Parameter estimation Continuous time systems; Degrees of freedom (mechanics); Differential equations; Linear systems; Parameter estimation; Pendulums; Sensitivity analysis; Stability; Vibration analysis; Double inverted pendulum; Intermittent controls; Inverted pendulum model; Mechanical parameters; Parameter estimation method; Time varying parameter; Two degrees of freedom; Visco-elastic parameters; Time varying control systems; aged; ankle; article; computer model; controlled study; female; hip; human; human experiment; male; nonlinear system; rigidity; sensitivity analysis; tendon; vibration
has publication venue: BioMedical Engineering Online
estado: published
related by: authorship_40344
type: Generically Dependent Continuant
e iscopus: 2-s2.0-85090105004
type: Information Content Entity
accesstype: All Open Access, Gold, Green
doi: 10.1186/s12938-020-00811-1
date time value: article date 6231