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足球头盔中的纳米复合泡沫传感器系统

Nano-Composite Foam Sensor System in Football Helmets.

作者信息

Merrell A Jake, Christensen William F, Seeley Matthew K, Bowden Anton E, Fullwood David T

机构信息

Department of Mechanical Engineering, Brigham Young University, Provo, USA.

Department of Statistics, Brigham Young University, Provo, USA.

出版信息

Ann Biomed Eng. 2017 Dec;45(12):2742-2749. doi: 10.1007/s10439-017-1910-9. Epub 2017 Sep 7.

Abstract

American football has both the highest rate of concussion incidences as well as the highest number of concussions of all contact sports due to both the number of athletes and nature of the sport. Recent research has linked concussions with long term health complications such as chronic traumatic encephalopathy and early onset Alzheimer's. Understanding the mechanical characteristics of concussive impacts is critical to help protect athletes from these debilitating diseases and is now possible using helmet-based sensor systems. To date, real time on-field measurement of head impacts has been almost exclusively measured by devices that rely on accelerometers or gyroscopes attached to the player's helmet, or embedded in a mouth guard. These systems monitor motion of the head or helmet, but do not directly measure impact energy. This paper evaluates the accuracy of a novel, multifunctional foam-based sensor that replaces a portion of the helmet foam to measure impact. All modified helmets were tested using a National Operating Committee Standards for Athletic Equipment-style drop tower with a total of 24 drop tests (4 locations with 6 impact energies). The impacts were evaluated using a headform, instrumented with a tri-axial accelerometer, mounted to a Hybrid III neck assembly. The resultant accelerations were evaluated for both the peak acceleration and the severity indices. These data were then compared to the voltage response from multiple Nano Composite Foam sensors located throughout the helmet. The foam sensor system proved to be accurate in measuring both the HIC and Gadd severity index, as well as peak acceleration while also providing additional details that were previously difficult to obtain, such as impact energy.

摘要

由于运动员数量和运动性质的原因,美式橄榄球在所有接触性运动中脑震荡发生率最高,脑震荡数量也最多。最近的研究将脑震荡与长期健康并发症联系起来,如慢性创伤性脑病和早发性阿尔茨海默病。了解震荡撞击的力学特性对于帮助保护运动员免受这些使人衰弱的疾病至关重要,而现在使用基于头盔的传感器系统就可以做到这一点。迄今为止,头部撞击的实时现场测量几乎完全由依赖附着在运动员头盔上或嵌入护齿中的加速度计或陀螺仪的设备来进行。这些系统监测头部或头盔的运动,但不直接测量撞击能量。本文评估了一种新型的、基于多功能泡沫的传感器的准确性,该传感器取代了头盔的一部分泡沫来测量撞击。所有经过改装的头盔都使用国家运动器材操作委员会标准风格的落塔进行测试,总共进行了24次落塔测试(4个位置,6种撞击能量)。使用安装在混合III型颈部组件上的、配备三轴加速度计的头模来评估撞击。对由此产生的加速度进行峰值加速度和严重程度指数的评估。然后将这些数据与遍布头盔的多个纳米复合泡沫传感器的电压响应进行比较。事实证明,泡沫传感器系统在测量头部损伤标准(HIC)和加德严重程度指数以及峰值加速度方面是准确的,同时还提供了以前难以获得的额外细节,如撞击能量。

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