基于心率变异性分析的不同道路复杂程度下汽车驾驶员心理压力评价

S. Sugiono, Denny Widhayanuriyawan, Debrina P. Andriyani
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引用次数: 7

摘要

控制驾驶员的应激水平是降低道路交通事故风险的重要因素之一。本文的目的是基于心率变异性(HRV)这一生理因素,分析道路复杂程度对驾驶员应激水平的影响。研究的第一步是对人体压力、心率变异性(HRV)、心电图(ECG)和NASA TLX精神工作负荷进行文献研究。驾驶员将使用心电图监测并记录在城市道路、农村道路和高速公路三种不同道路条件下的每一次心率变化。采集的样本数据为26名男性驾驶员,平均年龄21岁,平均驾驶经验4.08年。采用NASA TLX提问者主观测量挫败度(F)和时域分析HRV mRR(客观测量)对驾驶员心理压力进行评价。统计检验表明,驾驶员心理应激水平在mRR和F - NASA TLX之间无显著差异。城市公路产生平均F - NASA TLX = 3.92, mRR = 612.40ms,农村公路产生平均F - NASA TLX = 3.46, mRR = 621.26 ms,高速公路产生平均F - NASA TLX = 2.50, mRR = 820.20 ms。因此,HRV数据的mRR可以用于实时监测驾驶员的心理压力水平,从而有效地实现了汽车警报安全系统。
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Mental Stress Evaluation of Car Driver in Different Road Complexity Using Heart Rate Variability (HRV) Analysis
Controlling driver stress level is going popular research and put it very important factor to reduce risk of road accident. The aim of the paper is to analysis the impact of road complexity on driver stress level based on physiological factor of Heart Rate Variability (HRV). The first step of the research is literature study on human stress, Heart Rate Variability (HRV), Electrocardiograph (ECG), and NASA TLX mental work load. The driver will use ECG to monitor and then recorded at every heart rate change at any time from three different road conditions of city road, rural road, and motorways. The collected sampling data are 26 male drivers with the average age of 21 years old and average driving experience of 4.08 years. Mental stress evaluation of driver was assessed by frustration level (F) in NASA TLX questioner (subjective measurenment) and HRV in time domain analysis mRR (objective measurenment). The statistic test demontrated that there are not signifficant different mental stress level for driver between mRR and F - NASA TLX. The city road produced avarage F - NASA TLX = 3.92 and mRR = 612.40ms, rural road produced avarage F - NASA TLX = 3.46 and mRR = 621.26 ms, and motorway produced avarage F - NASA TLX = 2.50 and mRR = 820.20 ms. In sort, the mRR of HRV data can be used to monitor the mental stress level of driver in real time as consequence it baneficely implemented in car alert safety system.
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