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Driving Fatigue Detecting Method Based on Temperature Insensitive ECG Parameters

机译:基于温度不敏感心电参数的驾驶疲劳检测方法

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Driving fatigue has become one of the main causes in transportation accidents. Driving fatigue detection and early warning become very important research area to enhance road safety. ECG parameters, which could illustrate driving fatigue state directly, play an important role in corresponding research works. However, ambient temperature is normally not considered in these methods, while according to medical research, temperature may affect ECG signal considerably. In this paper, a significant analysis based temperature insensitive ECG parameter selection method is proposed. An integrated ECG parameter obtain method, which includes both questionnaire process and ECG signal extraction, is presented. Meanwhile, ROC curve is employed to find fatigue decision threshold. The validity of the proposed method is verified by a separate data set. Test results demonstrate that the developed model and threshold selection method are effective.
机译:驾驶疲劳已成为交通事故的主要原因之一。驾驶疲劳检测和预警成为提高道路安全性的重要研究领域。心电图参数可以直接说明驾驶疲劳状态,在相应的研究工作中起着重要作用。但是,这些方法通常不考虑环境温度,而根据医学研究,温度可能会严重影响ECG信号。本文提出了一种基于显着分析的温度不敏感心电参数选择方法。提出了一种综合的心电图参数获取方法,该方法既包括问卷调查过程,又包括心电信号提取。同时,采用ROC曲线求出疲劳决策阈值。所提出的方法的有效性由一个单独的数据集验证。测试结果表明,所开发的模型和阈值选择方法是有效的。

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