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Related Experiment Video

Updated: Jan 7, 2026

Quantitative Static and Dynamic Assessment of Balance Control in Stroke Patients

Quantitative Static and Dynamic Assessment of Balance Control in Stroke Patients

Published on: May 17, 2020

Wobble-Board Dynamics Identify Individual Signatures of Balance Control for Clinical Assessment.

Theodoros Deligiannis¹, Madhur Mangalam²

¹Department of Biomechanics, University of Nebraska at Omaha, 6160 University Drive S, Omaha, NE, 68182, USA.

Annals of Biomedical Engineering

|January 3, 2026

Summary

Wobble-board tasks reveal distinct spatial and temporal balance control strategies. Spatial control is proactive, while temporal control self-organizes, offering new targets for rehabilitation and fall prevention.

Keywords:

Balance Center-of-mass Center-of-pressure Coordination Fractal Postural control

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Last Updated: Jan 7, 2026

Quantitative Static and Dynamic Assessment of Balance Control in Stroke Patients

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Published on: May 17, 2020

A Vibrotactile Feedback Device for Seated Balance Assessment and Training

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Published on: December 11, 2013

Area of Science:

Biomechanics and Motor Control
Human Movement Science
Neuroscience

Background:

Effective balance control assessment is crucial for rehabilitation.
Wobble-board tasks simulate postural instability to study balance mechanisms.
Understanding proactive and emergent control is key to improving balance.

Purpose of the Study:

To investigate proactive and emergent balance control strategies.
To analyze spatial and temporal characteristics of balance on a wobble board.
To examine balance control in healthy young adults under varying cognitive loads.

Main Methods:

Twenty-nine healthy adults performed wobble-board tasks with and without cognitive load (Trail Making Task).
Key metrics included spatial excursion magnitude and temporal cycle duration.
Hurst exponent, PCA, and CCA analyzed balance dynamics and relationships with traditional metrics (CoP, CoM).

Main Results:

Temporal control showed emergent, uncorrelated adjustments (Hurst exponent ≈ 0.48).
Spatial control demonstrated persistent, proactive regulation (Hurst exponent ≈ 0.73).
These patterns remained under cognitive load, indicating robust spatial control and resilient temporal dynamics.

Conclusions:

Wobble-board assessment reveals a dual-mode balance strategy: active spatial control and self-organizing temporal dynamics.
These findings provide targets for metric-guided training, emphasizing excursion control and temporal adaptability.
Wobble-board metrics complement traditional measures, offering a practical tool for clinical evaluation and feedback.