Suppr超能文献

基于低成本系统的自动驾驶公交车紧急制动测试及表面肌电图颈部反应研究

Study of the Emergency Braking Test with an Autonomous Bus and the sEMG Neck Response by Means of a Low-Cost System.

作者信息

Fuentes Del Toro Sergio, Santos-Cuadros Silvia, Olmeda Ester, San Román José Luis

机构信息

Mechanical Engineering Department, Universidad Carlos III de Madrid, Avda. de la Universidad 30, 28911 Leganés, Spain.

Institute for Automotive Vehicle Safety (ISVA), Universidad Carlos III de Madrid, Avda. de la Universidad 30, 28911 Leganés, Spain.

出版信息

Micromachines (Basel). 2020 Oct 13;11(10):931. doi: 10.3390/mi11100931.

Abstract

Nowadays, due to the advances and the increasing implementation of the autonomous braking systems in vehicles, the non-collision accident is expected to become more common than a crash when a sudden stop happens. The most common injury in this kind of accident is whiplash or cervical injury since the neck has high sensitivity to sharp deceleration. To date, biomechanical research has usually been developed inside laboratories and does not entirely represent real conditions (e.g., restraint systems or surroundings of the experiment). With the aim of knowing the possible neck effects and consequences of an automatic emergency braking inside an autonomous bus, a surface electromyography (sEMG) system built by low-cost elements and developed by us, in tandem with other devices, such as accelerometers or cameras, were used. Moreover, thanks to the collaboration of 18 participants, it was possible to study the non-collision effects in two different scenarios (braking test in which the passenger is seated and looking ahead while talking with somebody in front of him (BT1) and, a second braking test where the passenger used a smartphone (BT2) and nobody is seated in front of him talking to him). The aim was to assess the sEMG neck response in the most common situations when somebody uses some kind of transport in order to conclude which environments are riskier regarding a possible cervical injury.

摘要

如今,由于车辆自动制动系统的进步以及其越来越广泛的应用,非碰撞事故预计将比突然停车时的碰撞事故更为常见。在这类事故中,最常见的损伤是颈部挥鞭伤或颈椎损伤,因为颈部对急剧减速非常敏感。迄今为止,生物力学研究通常是在实验室内部开展的,并不完全代表真实情况(例如,约束系统或实验环境)。为了了解自动紧急制动在自动驾驶公交车内可能对颈部产生的影响及后果,我们使用了一个由低成本元件构建并开发的表面肌电图(sEMG)系统,该系统与其他设备(如加速度计或摄像头)协同工作。此外,得益于18名参与者的合作,得以在两种不同场景下研究非碰撞影响(一种是乘客就座向前看并与前方的人交谈时的制动测试(BT1),另一种是乘客使用智能手机且前方无人与他交谈的第二次制动测试(BT2))。目的是评估在人们使用某种交通工具的最常见情况下sEMG颈部的反应,以便确定在可能导致颈椎损伤方面哪些环境风险更大。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6c3f/7602115/d7b065e3ed9a/micromachines-11-00931-g001.jpg

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验