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Related Experiment Video

Updated: Jul 24, 2026

Sit-to-stand-and-walk from 120% Knee Height: A Novel Approach to Assess Dynamic Postural Control Independent of Lead-limb

Sit-to-stand-and-walk from 120% Knee Height: A Novel Approach to Assess Dynamic Postural Control Independent of Lead-limb

Published on: August 30, 2016

Postural stability and fractal dynamics.

J W Błaszczyk¹, W Klonowski

¹Institute of Experimental Biology, Polish Academy of Sciences, 3 Pasteur St., 02-093 Warsaw, Poland. janusbla@nencki.gov.pl.

Acta Neurobiologiae Experimentalis

|August 22, 2001

Summary

Fractal dimension quantifies postural control complexity. This measure reliably assesses changes in balance due to visual feedback loss, age, or pathology.

Area of Science:

Biomechanics
Non-linear dynamics
Physiology

Background:

Postural control is crucial for stability.
Non-linear dynamics offer quantitative descriptors for complex biological systems.
Assessing postural control dynamics is vital for understanding age-related decline and pathology.

Purpose of the Study:

To introduce a novel measure for determining the fractal structure of posturographic signals.
To quantify the impact of visual feedback loss on postural control.
To evaluate the utility of fractal dimension (Df) in assessing postural stability.

Main Methods:

Application of non-linear dynamics and deterministic chaos methods.
Calculation of fractal dimension (Df) from posturographic signals.

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Last Updated: Jul 24, 2026

Sit-to-stand-and-walk from 120% Knee Height: A Novel Approach to Assess Dynamic Postural Control Independent of Lead-limb

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Published on: August 30, 2016

Experimental Methods to Study Human Postural Control

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Evaluating Postural Control and Lower-extremity Muscle Activation in Individuals with Chronic Ankle Instability

Evaluating Postural Control and Lower-extremity Muscle Activation in Individuals with Chronic Ankle Instability

Published on: September 18, 2020

Analysis of changes in Df with altered visual feedback.

Main Results:

Fractal dimension (Df) proved to be a sensitive and reliable measure of posturographic signal complexity.
Df effectively captured the effects of visual feedback deprivation on postural control.
The study confirmed Df as a valuable tool for evaluating postural stability.

Conclusions:

Fractal dimension (Df) is a robust quantitative descriptor for postural control dynamics.
Df can reliably assess postural stability and its alterations.
This measure is applicable for evaluating age-related decline and pathological changes in postural control.