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驾驶疲劳的心电和肌电信号分析
引用本文:彭葳,王笃明,尹爽,胡凤培.驾驶疲劳的心电和肌电信号分析[J].人类工效学,2013(1):24-27,75.
作者姓名:彭葳  王笃明  尹爽  胡凤培
作者单位:浙江理工大学心理学系,杭州310018
摘    要:目的探讨疲劳情境下驾驶员心电信号和肌电信号的有效特征。方法被试为12名年轻驾驶员,标准刺激为96张不同驾驶情景图片,要求被试连续2.5 h对图片进行按键反应。结果随着疲劳程度的增强,心率变异性呈整体上升趋势,平均功率频率呈下降趋势。结论心率、表面肌电值可以作为测量驾驶员疲劳程度的有效指标,人体的疲劳程度可能不是连续的增加,而是疲劳和清醒交替不断出现。

关 键 词:驾驶疲劳  心率变异性  平均功率频率  心电图  肌电图

Exploring the Characters of Physiological Signals for Fatigued Drivers
PENG wei,WANG Du-ming,YIN shuang,HU Feng-pei.Exploring the Characters of Physiological Signals for Fatigued Drivers[J].Chinese JOurnal of Ergonomics,2013(1):24-27,75.
Authors:PENG wei  WANG Du-ming  YIN shuang  HU Feng-pei
Affiliation:(Department of Psychology,Zhejiang Sci-tech University,Hangzhou 310018,China)
Abstract:Objective To investigate effective features of Electrocardiogram(ECG) and Electromyography(EMG) of drivers in the fatigue condition.Methods 12 young drivers participated in the experiment.Materials were 96 different pictures in different driving conditions.Participants were asked to press the right keyboard upon seeing the pictures during the 2 and a half hours session.Results The average of heart rate variability(HRV) rises,ACC and mean power frequency(MPF) drop during the fatigue enhancing process.Conclusion HRV and sEMG can be used to assess driver fatigue.Fatigue during driving is not a continuous process but consists of successive episodes of condition where the subject may go in and out of a fatigue state.
Keywords:driving fatigue  HRV  MPF  ECG  EMG
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