Literature DB >> 28110244

Quantification of postural control deficits in patients with recent concussion: An inertial-sensor based approach.

Cailbhe Doherty1, Liang Zhao2, John Ryan3, Yusuke Komaba4, Akihiro Inomata4, Brian Caulfield5.   

Abstract

BACKGROUND: The aim of this study was to quantify postural control ability in a group with concussion compared with a healthy control group.
METHOD: Fifteen concussion patients (4 females, 11 males) and a group of fifteen age- and sex-matched controls were recruited. Participants were tested during the performance of the three stance variants (bilateral, tandem and unilateral) of the balance error scoring system standing on a force place, while wearing an inertial measurement unit placed at the posterior aspect of the sacrum.
FINDINGS: The area of postural sway was computed using the force-plate and the '95% ellipsoid volume of sway' was computed from the accelerometer data. Concussed patients exhibited increased sway area (1513mm2 [95% CI: 935 to 2091mm2] vs 646mm2 [95% CI: 519 to 772mm2]; p=0.02) and sway volume (9.46m3s-6 [95% CI: 8.02 to 19.94m3s-6] vs 2.68m3s-6 [95% CI: 1.81 to 3.55m3s-6]; p=0.01) in the bilateral stance position of the balance error scoring system. The sway volume metric also had excellent accuracy in identifying task 'errors' (tandem stance: 91% accuracy [95% CI: 85-96%], p<0.001; unilateral stance: 91% accuracy [95% CI: 86-96%], p<0.001).
INTERPRETATION: Individuals with concussion display increased postural sway during bilateral stance. The sway volume that was calculated from the accelerometer data not only differentiated a group with concussion from a healthy control group, but successfully identified when task errors had occurred. This may be of value in the development of a pitch-side assessment system for concussion.
Copyright © 2017 Elsevier Ltd. All rights reserved.

Entities:  

Keywords:  Biomechanics [MeSH]; Brain concussion [MeSH]; Kinetics [MeSH]; Postural balance [MeSH]

Mesh:

Year:  2017        PMID: 28110244     DOI: 10.1016/j.clinbiomech.2017.01.007

Source DB:  PubMed          Journal:  Clin Biomech (Bristol, Avon)        ISSN: 0268-0033            Impact factor:   2.063


  10 in total

1.  Reliability, Validity and Utility of Inertial Sensor Systems for Postural Control Assessment in Sport Science and Medicine Applications: A Systematic Review.

Authors:  William Johnston; Martin O'Reilly; Rob Argent; Brian Caulfield
Journal:  Sports Med       Date:  2019-05       Impact factor: 11.136

2.  Sensor-Based Balance Measures Outperform Modified Balance Error Scoring System in Identifying Acute Concussion.

Authors:  Laurie A King; Martina Mancini; Peter C Fino; James Chesnutt; Clayton W Swanson; Sheila Markwardt; Julie C Chapman
Journal:  Ann Biomed Eng       Date:  2017-05-24       Impact factor: 3.934

3.  Inertial Sensor Technology Can Capture Changes in Dynamic Balance Control during the Y Balance Test.

Authors:  William Johnston; Martin O'Reilly; Garrett F Coughlan; Brian Caulfield
Journal:  Digit Biomark       Date:  2018-01-09

4.  Anxiety does not always affect balance: the predominating role of cognitive engagement in a video gaming task.

Authors:  B S DeCouto; A M Williams; K R Lohse; S H Creem-Regehr; D L Strayer; P C Fino
Journal:  Exp Brain Res       Date:  2021-04-28       Impact factor: 2.064

5.  The Specificity of Cognitive-Motor Dual-Task Interference on Balance in Young and Older Adults.

Authors:  Nathan Ward; Alekya Menta; Virginia Ulichney; Cristiana Raileanu; Thomas Wooten; Erika K Hussey; Elizabeth Marfeo
Journal:  Front Aging Neurosci       Date:  2022-01-11       Impact factor: 5.750

6.  Modulating Cognitive-Motor Multitasking with Commercial-off-the-Shelf Non-Invasive Brain Stimulation.

Authors:  Nathan Ward; Erika Hussey; Thomas Wooten; Elizabeth Marfeo; Tad T Brunyé
Journal:  Brain Sci       Date:  2022-01-29

7.  Comparison of Concurrent and Same-Day Balance Measurement Approaches in a Large Sample of Uninjured Collegiate Athletes.

Authors:  Jessica Saalfield; Kelsey L Piersol; Robert Monaco; Jason Womack; Scott A Weismiller; Carrie Esopenko; Sabrina M Todaro; Fiona N Conway; Kyle Brostrand; Jennifer F Buckman
Journal:  Int J Sports Phys Ther       Date:  2022-02-01

8.  Potential Usefulness of Tracking Head Movement via a Wearable Device for Equilibrium Function Testing at Home.

Authors:  Yoshiharu Yamanobe; Masato Fujioka; Masanao Ohashi; Hiroyuki Ozawa
Journal:  J Med Syst       Date:  2022-10-11       Impact factor: 4.920

Review 9.  Fifteen Years of Wireless Sensors for Balance Assessment in Neurological Disorders.

Authors:  Alessandro Zampogna; Ilaria Mileti; Eduardo Palermo; Claudia Celletti; Marco Paoloni; Alessandro Manoni; Ivan Mazzetta; Gloria Dalla Costa; Carlos Pérez-López; Filippo Camerota; Letizia Leocani; Joan Cabestany; Fernanda Irrera; Antonio Suppa
Journal:  Sensors (Basel)       Date:  2020-06-07       Impact factor: 3.576

Review 10.  Wearable Inertial Sensors to Assess Standing Balance: A Systematic Review.

Authors:  Marco Ghislieri; Laura Gastaldi; Stefano Pastorelli; Shigeru Tadano; Valentina Agostini
Journal:  Sensors (Basel)       Date:  2019-09-20       Impact factor: 3.576

  10 in total

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