Department of Biomedical Engineering, Wake Forest School of Medicine, 575 N. Patterson Avenue, Suite 120, Winston-Salem, NC, 27101, USA.
School of Biomedical Engineering and Sciences, Virginia Tech - Wake Forest University, 575 N. Patterson Avenue, Suite 120, Winston-Salem, NC, 27101, USA.
Ann Biomed Eng. 2019 Oct;47(10):2109-2121. doi: 10.1007/s10439-019-02313-1. Epub 2019 Jul 11.
The objective of this study was to develop a mouthpiece sensor with improved head kinematic measurement for use in non-helmeted and helmeted sports through laboratory validation and pilot field deployment in female youth soccer. For laboratory validation, data from the mouthpiece sensor was compared to standard sensors mounted in a headform at the center of gravity as the headform was struck with a swinging pendulum. Linear regression between peak kinematics measured from the mouthpiece and headform showed strong correlation, with r values of 0.95 (slope = 1.02) for linear acceleration, 1.00 (slope = 1.00) for angular velocity, and 0.97 (slope = 0.96) for angular acceleration. In field deployment, mouthpiece data were collected from four female youth soccer players and time-synchronized with film. Film-verified events (n = 915) were observed over 9 practices and 5 games, and 632 were matched to a corresponding mouthpiece event. This resulted in an overall sensitivity of 69.2% and a positive predictive value of 80.3%. This validation and pilot field deployment data demonstrates that the mouthpiece provides highly accurate measurement of on-field head impact data that can be used to further study the effects of impact exposure in both helmeted and non-helmeted sports.
本研究旨在开发一种改进的头盔外传感器,用于非头盔和头盔运动中的头部运动学测量,通过实验室验证和女性青少年足球的初步现场部署来实现。为了进行实验室验证,将传感器从口腔中获取的数据与安装在头部重心处的标准传感器进行比较,此时头部模型会被摆动的摆锤撞击。从口腔传感器和头部模型测量的峰值运动学之间的线性回归显示出很强的相关性,线性加速度的 r 值为 0.95(斜率=1.02),角速度的 r 值为 1.00(斜率=1.00),角加速度的 r 值为 0.97(斜率=0.96)。在现场部署中,从四名女性青少年足球运动员那里收集了口腔传感器的数据,并与影片进行了时间同步。在 9 次训练和 5 场比赛中观察到影片验证的事件(n=915),并将 632 个事件与相应的口腔传感器事件匹配。这导致了 69.2%的总体敏感性和 80.3%的阳性预测值。这项验证和初步现场部署的数据表明,口腔传感器提供了高度准确的现场头部撞击数据测量,可以用于进一步研究头盔和非头盔运动中撞击暴露的影响。