Type

Journal Article

Authors

Brian Caulfield
Akihiro Inomata
Yusuke Komaba
John Ryan
Liang Zhao
Cailbhe Doherty

Subjects

Physiotherapy & Sport

Topics
sensor scoring system inertial measurement force plate concussion patients postural sway quantification

Quantification of postural control deficits in patients with recent concussion: An inertial-sensor based approach. (2016)

Abstract The aim of this study was to quantify postural control ability in a group with concussion compared with a healthy control group. 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. 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 (1513mm(2) [95% CI: 935 to 2091mm(2)] vs 646mm(2) [95% CI: 519 to 772mm(2)]; p=0.02) and sway volume (9.46m(3)s(-6) [95% CI: 8.02 to 19.94m(3)s(-6)] vs 2.68m(3)s(-6) [95% CI: 1.81 to 3.55m(3)s(-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). 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.
Collections Ireland -> University College Dublin -> PubMed

Full list of authors on original publication

Brian Caulfield, Akihiro Inomata, Yusuke Komaba, John Ryan, Liang Zhao, Cailbhe Doherty

Experts in our system

1
Brian Caulfield
University College Dublin
Total Publications: 331
 
2
John Ryan
University College Dublin
Total Publications: 58
 
3
Liang Zhao
University College Dublin
Total Publications: 4
 
4
Cailbhe Doherty
University College Dublin
Total Publications: 45