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. 2022 Nov 17;22(22):8883.
doi: 10.3390/s22228883.

Sensory Interaction and Balancing Ability Evaluation of the Elderly Using a Simplified Force Plate System

Jeong-Woo Seo  1   2 , Joong Il Kim  1   2 , Taehong Kim  1   3 , Kyoung-Mi Jang  1   2 , Youngjae Jeong  1   2 , Jun-Hyeong Do  1   2
Affiliations

Sensory Interaction and Balancing Ability Evaluation of the Elderly Using a Simplified Force Plate System

Jeong-Woo Seo et al. Sensors (Basel). .

Abstract

The Wii balance board (WBB) is a simplified force plate system used to evaluate the balancing ability of the elderly via a sensory interaction task to confirm a significant standing balance index. The accuracy of this system has been verified in previous studies. In this study, an instrumented and modified clinical test of sensory interaction on balance (i-mCTSIB) was performed on 84 elderly subjects, and the variables for center of pressure (CoP) were calculated using WBB for each task condition. The results indicate that the visual condition has a significant effect on the sway proprioceptive sensory variables with a foam condition as their complexity increases. In addition, the correlation between the variable and Berg Balance Scale was not confirmed since CTSIB is a sensory interaction on balance ability. Therefore, WBB can be used to evaluate balancing ability based on sensory interactions consisting of the surface condition.

Keywords: Wii balance board; balancing ability; elderly; sensory interaction; simplified force plate system.

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Conflict of interest statement

The authors declare no conflict of interest.

Figures

Figure 1
Figure 1
Components and structure of the WBB (from the Operations Manual).
Figure 2
Figure 2
WBB connection and data acquisition algorithm.
Figure 3
Figure 3
CoP for (a) eyes closed on firm ground, (b) eyes closed on Foam-1, (c) eyes closed on Foam-2, (d) eyes open on firm ground, (e) eyes open on Foam-1, and (f) eyes open on Foam-2. Blue circle: 95% covariance of eigenvalue area, Pink arrow: largest eigen vector, Green arrow: smallest eigen vector.
See this image and copyright information in PMC

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