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Updated: Jun 23, 2025

Quantitative Static and Dynamic Assessment of Balance Control in Stroke Patients
Published on: May 17, 2020
Testing Dynamic Balance in People with Multiple Sclerosis: A Correlational Study between Standard Posturography and
Jessica Podda1, Giorgia Marchesi2, Alice Bellosta3
1Italian Multiple Sclerosis Foundation, 16149 Genoa, Italy.
The hunova® robotic platform is a valid tool for assessing dynamic balance in people with Multiple Sclerosis (MS). It offers a more sensitive evaluation of balance, aiding personalized treatment and clinical practice.
Area of Science:
- Neurology
- Rehabilitation Engineering
- Biomedical Engineering
Background:
- Robotic devices offer key parameters for assessing motor functions, particularly dynamic balance, in Multiple Sclerosis (MS).
- A gap exists in validation studies comparing novel robotic technologies with established assessment solutions.
- This study addresses the need to validate innovative robotic platforms against gold standards for MS balance assessment.
Purpose of the Study:
- To compare the dynamic balance assessment capabilities of the hunova® robotic platform against the gold standard EquiTest® in people with MS (PwMS).
- To evaluate the validity of hunova® using Center of Pressure (COP)-related parameters and global balance indexes.
- To determine the correlation between measurements from both devices under different sensory conditions.
Main Methods:
- Fifty people with MS (PwMS) performed dynamic balance tasks on both EquiTest® and hunova® platforms.
- Pearson's ρ correlations were used to analyze the relationship between COP-related parameters from both devices.
- Global balance indexes were computed for both platforms under eyes-open (EO) and eyes-closed (EC) conditions.
Main Results:
- All COP-related parameter correlations were significant in both EO (0.337 ≤ ρ ≤ 0.653) and EC (0.344 ≤ ρ ≤ 0.668) conditions.
- Pearson's analysis showed strong associations for global balance indexes related to the somatosensory system (ρ = 0.710).
- Relatively strong associations were found for visual (ρ = 0.573) and vestibular (ρ = 0.494) systems.
Conclusions:
- The hunova® robotic platform is confirmed as a valid device for dynamic balance assessment in people with MS.
- hunova® may provide a more sensitive measure of balance changes over time compared to traditional methods.
- This robotic platform can enhance the evaluation of personalized treatment effectiveness, supporting evidence-based clinical practice in MS management.
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