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    MathWorks Inc mathworks inc matlab version
    Mathworks Inc Matlab Version, supplied by MathWorks Inc, used in various techniques. Bioz Stars score: 96/100, based on 310 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
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    Average 96 stars, based on 310 article reviews
    mathworks inc matlab version - by Bioz Stars, 2026-06
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    Illustration of constraints on balance system stability as a function of time delay and motor activation normalized stiffness and damping parameters. (A) The CSMI model-predicted regions of stability (gray regions) shrink with increasing system time delay. The mean normalized stiffness values for control subjects (blue) and for the 14 mTBI subjects (red) with particularly long time delays and low stiffness in the SS/EC condition are labeled. (B) Model simulations of sway responses to 1° tilts of the stance surface show the effects on the sway response as time delay increased from 150 ms (thickest dark trace) to 230 ms in increments of 20 ms in conditions where stiffness and damping parameters remained fixed (upper graph) and when normalized stiffness and damping were decreased to compensate for the increasing time delay (lower graph). Prominent oscillatory sway behavior is eliminated by lowering stiffness and damping when time delays are larger but at the expense of having a larger peak sway responses. Simulations performed using MATLAB Simulink version <t>R2019b.</t>
    Function Matlab Version R2019b And Matlab Optimization Toolbox The Mathworks Inc Natick Massachusetts, supplied by MathWorks Inc, used in various techniques. Bioz Stars score: 96/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
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    Illustration of constraints on balance system stability as a function of time delay and motor activation normalized stiffness and damping parameters. (A) The CSMI model-predicted regions of stability (gray regions) shrink with increasing system time delay. The mean normalized stiffness values for control subjects (blue) and for the 14 mTBI subjects (red) with particularly long time delays and low stiffness in the SS/EC condition are labeled. (B) Model simulations of sway responses to 1° tilts of the stance surface show the effects on the sway response as time delay increased from 150 ms (thickest dark trace) to 230 ms in increments of 20 ms in conditions where stiffness and damping parameters remained fixed (upper graph) and when normalized stiffness and damping were decreased to compensate for the increasing time delay (lower graph). Prominent oscillatory sway behavior is eliminated by lowering stiffness and damping when time delays are larger but at the expense of having a larger peak sway responses. Simulations performed using MATLAB Simulink version <t>R2019b.</t>
    Matlab R2021a Statistical And Machine Learning Toolbox Version 12 1 The Mathworks Inc Ma United States, supplied by MathWorks Inc, used in various techniques. Bioz Stars score: 96/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
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    Illustration of constraints on balance system stability as a function of time delay and motor activation normalized stiffness and damping parameters. (A) The CSMI model-predicted regions of stability (gray regions) shrink with increasing system time delay. The mean normalized stiffness values for control subjects (blue) and for the 14 mTBI subjects (red) with particularly long time delays and low stiffness in the SS/EC condition are labeled. (B) Model simulations of sway responses to 1° tilts of the stance surface show the effects on the sway response as time delay increased from 150 ms (thickest dark trace) to 230 ms in increments of 20 ms in conditions where stiffness and damping parameters remained fixed (upper graph) and when normalized stiffness and damping were decreased to compensate for the increasing time delay (lower graph). Prominent oscillatory sway behavior is eliminated by lowering stiffness and damping when time delays are larger but at the expense of having a larger peak sway responses. Simulations performed using MATLAB Simulink version <t>R2019b.</t>
    Matlab Mathworks Inc Version, supplied by MathWorks Inc, used in various techniques. Bioz Stars score: 96/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
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    Average 96 stars, based on 1 article reviews
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    MathWorks Inc matlab version r2020a the 318 mathworks inc
    Illustration of constraints on balance system stability as a function of time delay and motor activation normalized stiffness and damping parameters. (A) The CSMI model-predicted regions of stability (gray regions) shrink with increasing system time delay. The mean normalized stiffness values for control subjects (blue) and for the 14 mTBI subjects (red) with particularly long time delays and low stiffness in the SS/EC condition are labeled. (B) Model simulations of sway responses to 1° tilts of the stance surface show the effects on the sway response as time delay increased from 150 ms (thickest dark trace) to 230 ms in increments of 20 ms in conditions where stiffness and damping parameters remained fixed (upper graph) and when normalized stiffness and damping were decreased to compensate for the increasing time delay (lower graph). Prominent oscillatory sway behavior is eliminated by lowering stiffness and damping when time delays are larger but at the expense of having a larger peak sway responses. Simulations performed using MATLAB Simulink version <t>R2019b.</t>
    Matlab Version R2020a The 318 Mathworks Inc, supplied by MathWorks Inc, used in various techniques. Bioz Stars score: 96/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
    https://www.bioz.com/result/matlab version r2020a the 318 mathworks inc/product/MathWorks Inc
    Average 96 stars, based on 1 article reviews
    matlab version r2020a the 318 mathworks inc - by Bioz Stars, 2026-06
    96/100 stars
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    Illustration of constraints on balance system stability as a function of time delay and motor activation normalized stiffness and damping parameters. (A) The CSMI model-predicted regions of stability (gray regions) shrink with increasing system time delay. The mean normalized stiffness values for control subjects (blue) and for the 14 mTBI subjects (red) with particularly long time delays and low stiffness in the SS/EC condition are labeled. (B) Model simulations of sway responses to 1° tilts of the stance surface show the effects on the sway response as time delay increased from 150 ms (thickest dark trace) to 230 ms in increments of 20 ms in conditions where stiffness and damping parameters remained fixed (upper graph) and when normalized stiffness and damping were decreased to compensate for the increasing time delay (lower graph). Prominent oscillatory sway behavior is eliminated by lowering stiffness and damping when time delays are larger but at the expense of having a larger peak sway responses. Simulations performed using MATLAB Simulink version R2019b.

    Journal: Frontiers in Neurology

    Article Title: Central sensorimotor integration assessment reveals deficits in standing balance control in people with chronic mild traumatic brain injury

    doi: 10.3389/fneur.2022.897454

    Figure Lengend Snippet: Illustration of constraints on balance system stability as a function of time delay and motor activation normalized stiffness and damping parameters. (A) The CSMI model-predicted regions of stability (gray regions) shrink with increasing system time delay. The mean normalized stiffness values for control subjects (blue) and for the 14 mTBI subjects (red) with particularly long time delays and low stiffness in the SS/EC condition are labeled. (B) Model simulations of sway responses to 1° tilts of the stance surface show the effects on the sway response as time delay increased from 150 ms (thickest dark trace) to 230 ms in increments of 20 ms in conditions where stiffness and damping parameters remained fixed (upper graph) and when normalized stiffness and damping were decreased to compensate for the increasing time delay (lower graph). Prominent oscillatory sway behavior is eliminated by lowering stiffness and damping when time delays are larger but at the expense of having a larger peak sway responses. Simulations performed using MATLAB Simulink version R2019b.

    Article Snippet: The experimental FRF was compared to the model-predicted FRF and the model parameters were adjusted using the Matlab “fmincon” function (Matlab version R2019b and Matlab Optimization Toolbox; The MathWorks Inc., Natick Massachusetts) to minimize the error between the experimental and model-predicted FRF [see Peterka et al. ( )].

    Techniques: Activation Assay, Control, Labeling