A New Wearable System for Postural Balance Assessment: Comparison with EquiTest and Static Posturography in Healthy Adults

<b>Background</b>: Objective assessment of postural control is central to the clinical evaluation of vestibular disorders. Although force-platform-based posturography is considered the gold standard, its use may be limited by cost and infrastructural requirements. Wearable inertial measurement units (IMUs) represent a promising alternative; however, their clinical validation should account for intrinsic differences in measurement paradigms rather than strict metric equivalence. <b>Objective</b>: To preliminarily evaluate the within-session reliability of a wearable IMU-based medical device for balance assessment (Gravity), and its agreement with established static (SBP) and computerised dynamic posturographic systems (CDP) in healthy subjects. <b>Methods</b>: Sixty-three healthy adults were enrolled in two independent method comparison studies: a wearable IMU-based balance system versus a static stabilometric platform (GRAVITY vs. SVEP; <i>n</i> = 42) and a wearable IMU-based balance system versus computerised dynamic posturography (Gravity vs. EquiTest; <i>n</i> = 21). Gravity measurements were obtained simultaneously with reference systems across standardised sensory conditions. Within-session reliability and method agreement were assessed. <b>Results</b>: Within-session reliability of Gravity was outcome-dependent. Length-based components demonstrated higher repeatability (ICC (single) = 0.25-0.35; ICC (average) = 0.41-0.52), with narrower limits of agreement (LoA = ±9-12%) and lower measurement error (SEM = 3.3-4.3%). In comparison with SBP, length-based measures exhibited narrower limits (LoA = ±12-17) and more consistent relationships. Comparison with CDP revealed moderate agreement for composite and preferential scores (LoA: -2.20-7.07; -5.54-8.12). <b>Conclusions</b>: Gravity sensor may represent a clinically meaningful, outcome-dependent performance, with superior reliability and comparability for length-based postural measures compared with area-based measures. The device could provide balance assessments compatible with both static and dynamic posturographic systems, accounting for physiological variability. These findings support the potential clinical use of wearable IMU-based posturography, particularly in settings where conventional force-platform systems are not readily available, and warrant further validation in larger, more clinically diverse populations.

Authors

Institutions

Publication Details

Journal
Audiology Research
Published
2026-03-17
DOI
https://doi.org/10.3390/audiolres16020045
Primary Topic
Balance, Gait, and Falls Prevention
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

A New Wearable System for Postural Balance Assessment: Comparison with EquiTest and Static Posturography in Healthy Adults

Giulio Dehesh, Barbara Martino, Eliana Filipponi, Marco Pozzi et al.
Audiology Research
Balance, Gait, and Falls Prevention
article

A New Wearable System for Postural Balance Assessment: Comparison with EquiTest and Static Posturography in Healthy Adults

Giulio Dehesh, Barbara Martino, Eliana Filipponi, Marco Pozzi, Andrea Beghi, Federica Di Berardino, Valerio Maria Di Pasquale Fiasca, Lorenzo Collino, Alfredo Gabriele Nanni, Paolo Ranieri
article en

Abstract

<b>Background</b>: Objective assessment of postural control is central to the clinical evaluation of vestibular disorders. Although force-platform-based posturography is considered the gold standard, its use may be limited by cost and infrastructural requirements. Wearable inertial measurement units (IMUs) represent a promising alternative; however, their clinical validation should account for intrinsic differences in measurement paradigms rather than strict metric equivalence. <b>Objective</b>: To preliminarily evaluate the within-session reliability of a wearable IMU-based medical device for balance assessment (Gravity), and its agreement with established static (SBP) and computerised dynamic posturographic systems (CDP) in healthy subjects. <b>Methods</b>: Sixty-three healthy adults were enrolled in two independent method comparison studies: a wearable IMU-based balance system versus a static stabilometric platform (GRAVITY vs. SVEP; <i>n</i> = 42) and a wearable IMU-based balance system versus computerised dynamic posturography (Gravity vs. EquiTest; <i>n</i> = 21). Gravity measurements were obtained simultaneously with reference systems across standardised sensory conditions. Within-session reliability and method agreement were assessed. <b>Results</b>: Within-session reliability of Gravity was outcome-dependent. Length-based components demonstrated higher repeatability (ICC (single) = 0.25-0.35; ICC (average) = 0.41-0.52), with narrower limits of agreement (LoA = ±9-12%) and lower measurement error (SEM = 3.3-4.3%). In comparison with SBP, length-based measures exhibited narrower limits (LoA = ±12-17) and more consistent relationships. Comparison with CDP revealed moderate agreement for composite and preferential scores (LoA: -2.20-7.07; -5.54-8.12). <b>Conclusions</b>: Gravity sensor may represent a clinically meaningful, outcome-dependent performance, with superior reliability and comparability for length-based postural measures compared with area-based measures. The device could provide balance assessments compatible with both static and dynamic posturographic systems, accounting for physiological variability. These findings support the potential clinical use of wearable IMU-based posturography, particularly in settings where conventional force-platform systems are not readily available, and warrant further validation in larger, more clinically diverse populations.

Audiology ResearchVol. 16(2)
University of Padua (IT), University of Milan (IT), University of Ferrara (IT), Fondazione IRCCS Ca' Granda Ospedale Maggiore Policlinico (IT), Ospedale Maggiore (IT), Ospedale A. Perrino (IT), Italian Association for Cancer Research (IT)
Openalex Percentile: Top 17%
Balance, Gait, and Falls Prevention
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.