Objective quantification of a clinical dynamic balance assessment
|Title:||Objective quantification of a clinical dynamic balance assessment||Authors:||Johnston, William; Moran, Thomas; Dolan, Kara; Reid, Niamh; Caulfield, Brian||Permanent link:||http://hdl.handle.net/10197/9650||Date:||25-May-2017||Online since:||2019-03-21T15:39:37Z||Abstract:||Objective: To investigate whether addition of inertial sensor data can provide additional insight into the nature of postural stability deficits during a clinical dynamic balance assessment, with a view to enhancing accuracy of post-concussion monitoring protocols. Design: Descriptive laboratory study. Setting: University performance laboratory. Participants: Fifteen physically active adults (age 234 years, height 1758 cm, weight 67.58 kg). Interventions: An inertial measurement unit (IMU) was mounted at the level of the 4th lumbar vertebra. Subjects completed repeated Y-Balance tests (YBT) 10 minutes and immediately prior to a modified 60 second Wingate anaerobic fatiguing test. Post-fatigue YBTs were completed immediately following the test, and at 10 and 20 minutes.Outcome measures: Normalised YBT reach distances, and IMU derived RMS acceleration, velocity and angular velocity. Main results: Prior to the fatiguing intervention, participants demonstrated excellent stability/reliability for all reach directions (Intra-class correlation coefficient 0.872-0.994). Significantly lower reach distances (P<0.05) were observed immediately post-fatigue for the postero-medial and postero-lateral, but not anterior reach direction. Observed deficits returned to pre-fatigue levels by 10 minutes. However, IMU derived measures of postural stability remained significantly reduced (P<0.05) for up to 20 minute post-fatigue. Conclusions: These results demonstrate the ability of both traditional YBT reach distances and inertial sensor data to detect centrally driven postural stability deficits. However, the inertial sensor provided a greater degree of granularity in characterising the nature of these postural stability deficits. This suggests that addition of IMUs to clinical balance measurement tests/protocols may better detect deficits associated with concussion.||Funding Details:||Science Foundation Ireland||Type of material:||Journal Article||Publisher:||BMJ||Journal:||British Journal of Sports Medicine||Volume:||51||Issue:||11||Start page:||A54||End page:||A55||Copyright (published version):||2017 BMJ Publishing Group Limited||Keywords:||Inertial sensor data; Postural stability deficits; Clinical balance assessment; Post-concussion protocols; Y-Balance tests; Wingate anaerobic fatiguing test||DOI:||10.1136/bjsports-2016-097270.142||Other versions:||10.5220/0006079400150024||Language:||en||Status of Item:||Peer reviewed||This item is made available under a Creative Commons License:||https://creativecommons.org/licenses/by-nc-nd/3.0/ie/|
|Appears in Collections:||Insight Research Collection|
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