Doherty Cailbhe, Zhao Liang, Ryan John, Komaba Yusuke, Inomata Akihiro, Caulfield Brian
Insight Centre for Data Analytics, University College Dublin, Dublin, Ireland.
St. Vincent's University Hospital, Dublin, Ireland.
Clin Biomech (Bristol). 2017 Feb;42:79-84. doi: 10.1016/j.clinbiomech.2017.01.007. Epub 2017 Jan 16.
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 [95% CI: 935 to 2091mm] vs 646mm [95% CI: 519 to 772mm]; p=0.02) and sway volume (9.46ms [95% CI: 8.02 to 19.94ms] vs 2.68ms [95% CI: 1.81 to 3.55ms]; 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.
本研究旨在量化脑震荡患者组与健康对照组的姿势控制能力。
招募了15名脑震荡患者(4名女性,11名男性)和一组15名年龄和性别匹配的对照组。参与者在力板上进行平衡误差评分系统的三种站立姿势变体(双侧、串联和单侧)时接受测试,同时在骶骨后侧佩戴惯性测量单元。
使用力板计算姿势摆动面积,并根据加速度计数据计算“95%摆动椭球体体积”。脑震荡患者在平衡误差评分系统的双侧站立姿势中表现出更大的摆动面积(1513mm[95%置信区间:935至2091mm]对646mm[95%置信区间:519至772mm];p=0.02)和摆动体积(9.46ms[95%置信区间:8.02至19.94ms]对2.68ms[95%置信区间:1.81至3.55ms];p=0.01)。摆动体积指标在识别任务“错误”方面也具有出色的准确性(串联站立:91%准确性[95%置信区间:85-96%],p<0.001;单侧站立:91%准确性[95%置信区间:86-96%],p<0.001)。
脑震荡患者在双侧站立时姿势摆动增加。根据加速度计数据计算出的摆动体积不仅能区分脑震荡患者组和健康对照组,还能成功识别任务错误何时发生。这可能对开发脑震荡现场评估系统有价值。