电极
电阻抗
材料科学
导电体
脑电图
心电图
计算机科学
声学
生物医学工程
人工智能
工程类
电气工程
复合材料
医学
心脏病学
精神科
化学
物理
物理化学
作者
Fuwang Wang,Wei‐Jen Yao,Bin Lu,Rongrong Fu
出处
期刊:IEEE Transactions on Instrumentation and Measurement
[Institute of Electrical and Electronics Engineers]
日期:2024-01-01
卷期号:73: 1-16
标识
DOI:10.1109/tim.2023.3343799
摘要
In view of the complicated placement process of wet electrodes used for driving fatigue detection based on electrocardiography (ECG) characteristics, this study proposed a novel elastic dry electrode for real-time acquisition of ECG signals from the palm of hand. This type of dry electrode eliminated the need for applying conductive paste when collecting the driver’s ECG. Meanwhile it avoids the requirement of penetrating the cuticle layer of the skin surface to reduce impedance as well, thus minimizing the risk of skin infection. To alleviate driver fatigue resulting from prolonged driving, a periodic man-machine interaction mode (PMIM) was proposed. To assess the efficacy of PMIM in mitigating driver fatigue, this study compared and evaluated driver mental fatigue based on electroencephalogram (EEG) and heart rate variability (HRV) characteristics across two driving modes. The findings demonstrated that the novel elastic dry electrode effectively captured changes in driving fatigue characteristics by acquiring ECG signals from the palm of the hand. Additionally, the proposed PMIM effectively mitigated driving fatigue resulting from prolonged periods of driving.
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