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测量运动员头部钝性撞击力

Measuring Blunt Force Head Impacts in Athletes.

作者信息

Bartsch Adam, Dama Rajiv, Alberts Jay, Samorezov Sergey, Benzel Edward, Miele Vincent, Shah Alok, Humm John, McCrea Michael, Stemper Brian

机构信息

Prevent Biometrics, 4530 W 77th St, Suite 300, Edina, MN 55435.

Cleveland Clinic, 9500 Euclid Ave, Cleveland, OH 44190.

出版信息

Mil Med. 2020 Jan 7;185(Suppl 1):190-196. doi: 10.1093/milmed/usz334.

DOI:10.1093/milmed/usz334
PMID:32074346
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC7029834/
Abstract

INTRODUCTION

Although concussion continues to be a major source of acute and chronic injuries, concussion injury mechanisms and risk functions are ill-defined. This lack of definition has hindered efforts to develop standardized concussion monitoring, safety testing, and protective countermeasures. To overcome this knowledge gap, we have developed, tested, and deployed a head impact monitoring mouthguard (IMM) system.

MATERIALS AND METHODS

The IMM system was first calibrated in 731 laboratory tests. Versus reference, Laboratory IMM data fit a linear model, with results close to the ideal linear model of form y = x + 0, R2 = 1. Next, during on-field play involving n = 54 amateur American athletes in football and boxing, there were tens of thousands of events collected by the IMM. A total of 890 true-positive head impacts were confirmed using a combination of signal processing and National Institute of Neurological Disorders and Stroke/National Institutes of Health Common Data Elements methods.

RESULTS

The median and 99th percentile of peak scalar linear acceleration and peak angular acceleration were 20 and 50 g and 1,700 and 4,600 rad/s2, respectively. No athletes were diagnosed with concussion.

CONCLUSIONS

While these data are useful for preliminary human tolerance limits, a larger population must be used to quantify real-world dose response as a function of impact magnitude, direction, location, and accumulation. This work is ongoing.

摘要

引言

尽管脑震荡仍然是急性和慢性损伤的主要来源,但脑震荡的损伤机制和风险功能尚不明确。这种不明确阻碍了制定标准化脑震荡监测、安全测试和防护对策的努力。为了克服这一知识差距,我们开发、测试并部署了一种头部撞击监测护齿(IMM)系统。

材料与方法

IMM系统首先在731次实验室测试中进行了校准。与参考数据相比,实验室IMM数据符合线性模型,结果接近理想线性模型y = x + 0,R2 = 1。接下来,在涉及n = 54名美国足球和拳击业余运动员的现场比赛中,IMM收集了数万个事件。使用信号处理和美国国立神经疾病与中风研究所/美国国立卫生研究院通用数据元素方法相结合的方式,共确认了890次真正的头部撞击。

结果

峰值标量线性加速度和峰值角加速度的中位数和第99百分位数分别为20和50 g以及1700和4600 rad/s2。没有运动员被诊断为脑震荡。

结论

虽然这些数据对于初步确定人体耐受极限很有用,但必须使用更大的人群来量化作为撞击幅度、方向、位置和累积函数的实际剂量反应。这项工作正在进行中。

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Comparison of video-based and sensor-based head impact exposure.基于视频和传感器的头部撞击暴露比较。
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Development of a head impact monitoring "Intelligent Mouthguard".头部撞击监测“智能护齿器”的研发。
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