OBJECTIVES:The aim of the study was to verify whether simultaneous responses from the muscular and circulatory system occur in the driver's body under simulated conditions of a crash threat. MATERIALS AND METHODS:The study was carried out in a passenger car driving simulator. The crash was included in the driving test scenario developed in an urban setting. In the group of 22 young male subjects, two physiological signals - ECG and EMG were continuously recorded. The length of the RR interval in the ECG signal was assessed. A HRV analysis was performed in the time and frequency domains for 1-minute record segments at rest (seated position), during undisturbed driving as well as during and several minutes after the crash. For the left and right side muscles: m. trapezius (TR) and m. flexor digitorum superficialis (FDS), the EMG signal amplitude was determined. The percentage of maximal voluntary contraction (MVC) was compared during driving and during the crash. RESULTS:As for the ECG signal, it was found that in most of the drivers changes occurred in the parameter values reflecting HRV in the time domain. Significant changes were noted in the mean length of RR intervals (mRR). As for the EMG signal, the changes in the amplitude concerned the signal recorded from the FDS muscle. The changes in ECG and EMG were simultaneous in half of the cases. CONCLUSION:Such parameters as mRR (ECG signal) and FDS-L amplitude (EMG signal) were the responses to accident risk. Under simulated conditions, responses from the circulatory and musculoskeletal systems are not always simultaneous. The results indicate that a more complete driver's response to a crash in road traffic is obtained based on parallel recording of two physiological signals (ECG and EMG).

译文

目的:该研究的目的是验证在模拟碰撞危险条件下,驾驶员体内是否同时发生了肌肉和循环系统的同时反应。
材料与方法:该研究在乘用车驾驶模拟器中进行。该事故包括在城市环境中开发的驾驶测试方案中。在22名年轻男性受试者的组中,连续记录了两种生理信号-ECG和EMG。评估心电图信号中RR间隔的长度。在时域和频域中,在静止(坐姿),无扰动驾驶以及碰撞过程中和碰撞后的几分钟内,对时长为1分钟的记录段进行了HRV分析。对于左侧和右侧肌肉:m。斜方肌(TR)和m。浅指屈肌(FDS),确定肌电信号幅度。在驾驶过程中和碰撞期间比较了最大自愿收缩(MVC)的百分比。
结果:关于ECG信号,发现在大多数驱动程序中,时域中反映HRV的参数值发生了变化。注意到RR间隔的平均长度(mRR)有显着变化。对于EMG信号,振幅的变化与从FDS肌肉记录的信号有关。在一半的病例中,心电图和肌电图的变化是同时发生的。
结论:mRR(ECG信号)和FDS-L振幅(EMG信号)等参数是对事故风险的响应。在模拟条件下,循环系统和肌肉骨骼系统的响应并不总是同时发生的。结果表明,基于两个生理信号(ECG和EMG)的并行记录,可以获得驾驶员对道路交通事故更完整的响应。

+1
+2
100研值 100研值 ¥99课程
检索文献一次
下载文献一次

去下载>

成功解锁2个技能,为你点赞

《SCI写作十大必备语法》
解决你的SCI语法难题!

技能熟练度+1

视频课《玩转文献检索》
让你成为检索达人!

恭喜完成新手挑战

手机微信扫一扫,添加好友领取

免费领《Endnote文献管理工具+教程》

微信扫码, 免费领取

手机登录

获取验证码
登录