ArticleDigital biomarkers
Inertial Sensor Technology Can Capture Changes in Dynamic Balance Control during the Y Balance Test.
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Who cites it
12 citing papers in PubMed, 3 syntheses or guidelines pooled it, 32 citations in OpenAlex.
- Validity and Reliability of Methods to Assess Movement Deficiencies Following Concussion: A COSMIN Systematic Review.Sports medicine - open · 2023Pooled it
- Pooled it
- Reliability, Validity and Utility of Inertial Sensor Systems for Postural Control Assessment in Sport Science and Medicine Applications: A Systematic Review.Sports medicine (Auckland, N.Z.) · 2019Pooled it
- Risk factors associated with sports related injury severity in adolescents: a prospective study over a single season of sport.BMC sports science, medicine & rehabilitation · 2026Article
- Human bioimpedance-based state detection technologies for sports health monitoring: a review.Frontiers in physiology · 2026Review
- Breaking down the Digital Fortress: The Unseen Challenges in Healthcare Technology-Lessons Learned from 10 Years of Research.Sensors (Basel, Switzerland) · 2024Article
- Examining the joint coordination during dynamic balance learning using vector coding and statistical parametric mapping analyses.Scientific reports · 2024Article
- Data-Driven Approach for Upper Limb Fatigue Estimation Based on Wearable Sensors.Sensors (Basel, Switzerland) · 2023Article
- Scoring Performance on the Y-Balance Test Using a Deep Learning Approach.Sensors (Basel, Switzerland) · 2021Article
- Article
- Concussion History and Balance Performance in Adolescent Rugby Union Players.The American journal of sports medicine · 2021Article
- Influence of the Amount of Instability on the Leg Muscle Activity During a Loaded Free Barbell Half-Squat.International journal of environmental research and public health · 2020Article
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Authors and funding
4 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
introductionThe Y Balance Test (YBT) is one of the most commonly utilised clinical dynamic balance assessments. Research has demonstrated the utility of the YBT in identifying balance deficits in individuals following lower limb injury. However, quantifying dynamic balance based on reach distances alone fails to provide potentially important information related to the quality of movement control and choice of movement strategy during the reaching action. The addition of an inertial sensor to capture more detailed motion data may allow for the inexpensive, accessible quantification of dynamic balance control during the YBT reach excursions. As such, the aim of this study was to compare baseline and fatigued dynamic balance control, using reach distances and 95EV (95% ellipsoid volume), and evaluate the ability of 95EV to capture alterations in dynamic balance control, which are not detected by YBT reach distances.
methodsAs part of this descriptive laboratory study, 15 healthy participants completed repeated YBTs at 20, 10, and 0 min prior to and following a modified 60-s Wingate test that was used to introduce a short-term reduction in dynamic balance capability. Dynamic balance was assessed using the standard normalised reach distance method, while dynamic balance control during the reach attempts was simultaneously measured by means of the 95EV derived from an inertial sensor, worn at the level of the 4th lumbar vertebra.
resultsIntraclass correlation coefficients for the inertial sensor-derived measures ranged from 0.76 to 0.92, demonstrating strong intrasession test-retest reliability. Statistically significant alterations (
conclusionThese findings demonstrate the ability of an inertial sensor-derived measure to quantify alterations in dynamic balance control, which are not captured by traditional reach distances alone. This suggests that the addition of an inertial sensor to the YBT may provide clinicians and researchers with an accessible means to capture subtle alterations in motor function in the clinical setting.
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