The time-delayed inverted pendulum: Implications for human balance control

2009 ◽  
Vol 19 (2) ◽  
pp. 026110 ◽  
Author(s):  
John Milton ◽  
Juan Luis Cabrera ◽  
Toru Ohira ◽  
Shigeru Tajima ◽  
Yukinori Tonosaki ◽  
...  
Keyword(s):  
Inverted Pendulum ◽  
Balance Control ◽  
Human Balance ◽  
Human Balance Control

scholarly journals Destabilization of human balance control by static and dynamic head tilts

2006 ◽  
Vol 23 (3) ◽  
pp. 315-323 ◽  
Author(s):  
William H. Paloski ◽  
Scott J. Wood ◽  
Alan H. Feiveson ◽  
F. Owen Black ◽  
Emma Y. Hwang ◽  
...  
Keyword(s):  
Balance Control ◽  
Dynamic Head ◽  
Human Balance ◽  
Human Balance Control

scholarly journals Hardware-In-the-Loop Equipment for the Development of an Automatic Perturbator for Clinical Evaluation of Human Balance Control

2020 ◽  
Vol 10 (24) ◽  
pp. 8886
Author(s):  
Carlo Ferraresi ◽  
Daniela Maffiodo ◽  
Walter Franco ◽  
Giovanni Gerardo Muscolo ◽  
Carlo De Benedictis ◽  
...  
Keyword(s):  
Balance Control ◽  
The Body ◽  
Clinical Settings ◽  
Control Analysis ◽  
Hardware In The Loop ◽  
Control Laws ◽  
Component Selection ◽  
Risk Of Falls ◽  
Human Balance ◽  
Human Balance Control

Nowadays, increasing attention is being paid to techniques aimed at assessing a subject’s ability to maintain or regain control of balance, thus reducing the risk of falls. To this end, posturographic analyses are performed in different clinical settings, both in unperturbed and perturbed conditions. This article presents a new Hardware-In-the-Loop (HIL) equipment designed for the development of an automatic perturbator for postural control analysis, capable of providing controlled mechanical stimulation by means of an impulsive force exerted on a given point of the body. The experimental equipment presented here includes the perturbator and emulates its interaction with both the subject’s body and the operator performing the test. The development of the perturbator and of the entire HIL equipment is described, including component selection, modeling of the entire system, and experimentally verified simulations used to study and define the most appropriate control laws.

Investigating the Nonlinear Dynamics of Human Balance Using Topological Data Analysis

2020 ◽  
Vol 15 (9) ◽  
Author(s):  
Kyle W. Siegrist ◽  
Ryan M. Kramer ◽  
James R. Chagdes
Keyword(s):  
Time Series ◽  
Postural Stability ◽  
Inverted Pendulum ◽  
Balance Control ◽  
Neuromuscular Diseases ◽  
Neuromuscular Control ◽  
Topological Data Analysis ◽  
Control Parameters ◽  
Human Balance ◽  
Neuromuscular Impairment

Abstract Understanding the mechanisms behind human balance has been a subject of interest as various postural instabilities have been linked to neuromuscular diseases (e.g., Parkinson's, multiple sclerosis, and concussion). This paper presents a method to characterize an individual's postural stability and estimate of their neuromuscular feedback control parameters. The method uses a generated topological mapping between a subject's experimental data and a dataset consisting of time-series realizations generated using an inverted pendulum mathematical model of upright balance. The performance of the method is quantified using a set of validation time-series realizations with known stability and neuromuscular control parameters. The method was found to have an overall sensitivity of 85.1% and a specificity of 91.9%. Furthermore, the method was most accurate when identifying limit cycle oscillations (LCOs) with a sensitivity of 91.1% and a specificity of 97.6%. Such a method has the capability of classifying an individual's stability and revealing possible neuromuscular impairment related to balance control, ultimately providing useful information to clinicians for diagnostic and rehabilitation purposes.

Complexity and dynamics of switched human balance control during quiet standing

2015 ◽  
Vol 109 (4-5) ◽  
pp. 469-478 ◽  
Author(s):  
Salam Nema ◽  
Piotr Kowalczyk ◽  
Ian Loram
Keyword(s):  
Balance Control ◽  
Quiet Standing ◽  
Human Balance ◽  
Human Balance Control

Modeling of Human Balance Control Considering Phase Characteristics at Low Frequencies

2017 ◽  
Vol 2017 (0) ◽  
pp. 612
Author(s):  
Motomichi SONOBE ◽  
Hirotaka YAMAGUCHI ◽  
Junichi HINO ◽  
Kyoko SHIBATA ◽  
Yoshio INOUE
Keyword(s):  
Balance Control ◽  
Low Frequencies ◽  
Human Balance ◽  
Human Balance Control
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