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A Sensitivity Analysis of an Inverted Pendulum Balance Control Model

Overview of attention for article published in Frontiers in Computational Neuroscience, October 2017
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Title
A Sensitivity Analysis of an Inverted Pendulum Balance Control Model
Published in
Frontiers in Computational Neuroscience, October 2017
DOI 10.3389/fncom.2017.00099
Pubmed ID
Authors

Jantsje H. Pasma, Tjitske A. Boonstra, Joost van Kordelaar, Vasiliki V. Spyropoulou, Alfred C. Schouten

Abstract

Balance control models are used to describe balance behavior in health and disease. We identified the unique contribution and relative importance of each parameter of a commonly used balance control model, the Independent Channel (IC) model, to identify which parameters are crucial to describe balance behavior. The balance behavior was expressed by transfer functions (TFs), representing the relationship between sensory perturbations and body sway as a function of frequency, in terms of amplitude (i.e., magnitude) and timing (i.e., phase). The model included an inverted pendulum controlled by a neuromuscular system, described by several parameters. Local sensitivity of each parameter was determined for both the magnitude and phase using partial derivatives. Both the intrinsic stiffness and proportional gain shape the magnitude at low frequencies (0.1-1 Hz). The derivative gain shapes the peak and slope of the magnitude between 0.5 and 0.9 Hz. The sensory weight influences the overall magnitude, and does not have any effect on the phase. The effect of the time delay becomes apparent in the phase above 0.6 Hz. The force feedback parameters and intrinsic stiffness have a small effect compared with the other parameters. All parameters shape the TF magnitude and phase and therefore play a role in the balance behavior. The sensory weight, time delay, derivative gain, and the proportional gain have a unique effect on the TFs, while the force feedback parameters and intrinsic stiffness contribute less. More insight in the unique contribution and relative importance of all parameters shows which parameters are crucial and critical to identify underlying differences in balance behavior between different patient groups.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 37 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 37 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 7 19%
Student > Master 6 16%
Researcher 5 14%
Student > Bachelor 3 8%
Student > Postgraduate 2 5%
Other 4 11%
Unknown 10 27%
Readers by discipline Count As %
Engineering 11 30%
Sports and Recreations 3 8%
Psychology 2 5%
Physics and Astronomy 2 5%
Neuroscience 2 5%
Other 3 8%
Unknown 14 38%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 07 November 2017.
All research outputs
#15,481,888
of 23,006,268 outputs
Outputs from Frontiers in Computational Neuroscience
#873
of 1,354 outputs
Outputs of similar age
#205,618
of 328,360 outputs
Outputs of similar age from Frontiers in Computational Neuroscience
#20
of 30 outputs
Altmetric has tracked 23,006,268 research outputs across all sources so far. This one is in the 22nd percentile – i.e., 22% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,354 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.1. This one is in the 28th percentile – i.e., 28% of its peers scored the same or lower than it.
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We're also able to compare this research output to 30 others from the same source and published within six weeks on either side of this one. This one is in the 16th percentile – i.e., 16% of its contemporaries scored the same or lower than it.