Literature DB >> 26152463

Monitoring recovery of gait balance control following concussion using an accelerometer.

David Howell1, Louis Osternig1, Li-Shan Chou2.   

Abstract

Despite medical best-practice recommendations, no consistent standard exists to systematically monitor recovery from concussion. Studies utilizing camera-based systems have reported center-of-mass (COM) motion control deficits persisting in individuals with concussion up to two months post-injury. The use of an accelerometer may provide an efficient and sensitive method to monitor COM alterations following concussion that can be employed in clinical settings. This study examined: (1) frontal/sagittal plane acceleration characteristics during dual-task walking for individuals with concussion and healthy controls; and (2) the effectiveness of utilizing acceleration characteristics to classify concussed and healthy individuals via receiver operating characteristic (ROC) curve analyses. Individuals with concussion completed testing within 72 h as well as 1 week, 2 weeks, 1 month, and 2 months post-injury. Control subjects completed the same protocol in similar time increments. Participants walked and simultaneously completed a cognitive task while wearing an accelerometer attached to L5. Participants with concussion walked with significantly less peak medial-lateral acceleration during 55-75% gait cycle (p=0.04) throughout the testing period compared with controls. Moderate levels of sensitivity and specificity were found at the 72 h and 1 week testing times (sensitivity=0.70, specificity=0.71). ROC analysis revealed significant AUC values at the 72 h (AUC=0.889) and two week (AUC=0.810) time points. Accelerometer-derived measurements may assist in detecting frontal plane control deficits during dual-task walking post-concussion, consistent with camera-based studies. These initial findings demonstrate potential for using accelerometry as a tool for clinicians to monitor gait balance control following concussion.
Copyright © 2015 Elsevier Ltd. All rights reserved.

Entities:  

Keywords:  Acceleration; Balance; Center-of-mass; Locomotion; Mild traumatic brain injury

Mesh:

Year:  2015        PMID: 26152463     DOI: 10.1016/j.jbiomech.2015.06.014

Source DB:  PubMed          Journal:  J Biomech        ISSN: 0021-9290            Impact factor:   2.712


  22 in total

1.  Longitudinal Assessment of Balance and Gait After Concussion and Return to Play in Collegiate Athletes.

Authors:  Lucy Parrington; Peter C Fino; Clayton W Swanson; Charles F Murchison; James Chesnutt; Laurie A King
Journal:  J Athl Train       Date:  2019-04-01       Impact factor: 2.860

2.  Decreased Anticipatory Postural Adjustments During Gait Initiation Acutely Postconcussion.

Authors:  Thomas A Buckley; Jessie R Oldham; Barry A Munkasy; Kelsey M Evans
Journal:  Arch Phys Med Rehabil       Date:  2017-06-03       Impact factor: 3.966

3.  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

4.  Altered dynamic postural control during gait termination following concussion.

Authors:  Jessie R Oldham; Barry A Munkasy; Kelsey M Evans; Erik A Wikstrom; Thomas A Buckley
Journal:  Gait Posture       Date:  2016-08-01       Impact factor: 2.840

Review 5.  Neuromuscular Control Deficits and the Risk of Subsequent Injury after a Concussion: A Scoping Review.

Authors:  David R Howell; Robert C Lynall; Thomas A Buckley; Daniel C Herman
Journal:  Sports Med       Date:  2018-05       Impact factor: 11.136

6.  Acute Sport-Related Concussion Screening for Collegiate Athletes Using an Instrumented Balance Assessment.

Authors:  Joshua Baracks; Douglas J Casa; Tracey Covassin; Ryan Sacko; Samantha E Scarneo; David Schnyer; Susan W Yeargin; Christopher Neville
Journal:  J Athl Train       Date:  2018-06-13       Impact factor: 2.860

Review 7.  Inertial Sensors to Assess Gait Quality in Patients with Neurological Disorders: A Systematic Review of Technical and Analytical Challenges.

Authors:  Aliénor Vienne; Rémi P Barrois; Stéphane Buffat; Damien Ricard; Pierre-Paul Vidal
Journal:  Front Psychol       Date:  2017-05-18

8.  Normative Tandem Gait in Collegiate Student-Athletes: Implications for Clinical Concussion Assessment.

Authors:  Jessie R Oldham; Melissa S DiFabio; Thomas W Kaminski; Ryan M DeWolf; Thomas A Buckley
Journal:  Sports Health       Date:  2016-11-01       Impact factor: 3.843

9.  An advanced scheme of compressed sensing of acceleration data for telemonintoring of human gait.

Authors:  Jianning Wu; Haidong Xu
Journal:  Biomed Eng Online       Date:  2016-03-05       Impact factor: 2.819

10.  Test-Retest Reliability of an Automated Infrared-Assisted Trunk Accelerometer-Based Gait Analysis System.

Authors:  Chia-Yu Hsu; Yuh-Show Tsai; Cheng-Shiang Yau; Hung-Hai Shie; Chu-Ming Wu
Journal:  Sensors (Basel)       Date:  2016-07-23       Impact factor: 3.576

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