A novel pull-out semi-dry electrode with rapid conductive liquid replenishment for EEG acquisition in real driving environment

IF 4.1 3区工程技术 Q2 ENGINEERING, ELECTRICAL & ELECTRONIC

Sensors and Actuators A-physical Pub Date : 2025-05-06 DOI:10.1016/j.sna.2025.116671

Wanchao Yao , Tianshu Gu , Rongrong Fu , Fuwang Wang

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引用次数: 0

Abstract

To address the issues of convenience, comfort, and noise resistance in the detection of driving fatigue in real driving environments, this study developed a novel pull-out semi-dry electrode and constructed a driving fatigue recognition model using a one-dimensional deep residual shrinkage network (1D-DRSN). The novel electrode features a spring reset structure for rapid conductive liquid replenishment, combined with silver-plated electrode cores and PU sponge, ensuring high signal quality and comfortable wear. The 1D-DRSN model integrates residual connections, attention mechanisms, and soft threshold functions to effectively reduce noise interference, demonstrating high accuracy and robustness. Results show that the novel electrode can achieve up to 10 hours of effective electroencephalography (EEG) signal acquisition, and the 1D-DRSN model achieves an average classification accuracy rate of 99.65 % in driving fatigue detection tasks, maintaining excellent performance even in noisy environments. This study provides an efficient and reliable solution for signal acquisition and detection in the field of driving fatigue detection.

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一种可快速补充导电液的拉出式半干电极，用于真实驾驶环境下的脑电采集

为了解决真实驾驶环境下驾驶疲劳检测的便利性、舒适性和抗噪声性问题，本研究开发了一种新型的拔出式半干电极，并利用一维深度残余收缩网络（1D-DRSN）构建了驾驶疲劳识别模型。新型电极采用弹簧复位结构，可快速补充导电液体，结合镀银电极芯和PU海绵，确保高信号质量和舒适佩戴。1D-DRSN模型集成了残差连接、注意机制和软阈值函数，有效降低了噪声干扰，具有较高的准确性和鲁棒性。结果表明，新型电极可实现长达10 小时的有效脑电图信号采集，1D-DRSN模型在驾驶疲劳检测任务中平均分类准确率达到99.65 %，即使在噪声环境下也能保持优异的性能。本研究为驾驶疲劳检测领域的信号采集与检测提供了一种高效、可靠的解决方案。

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来源期刊

Sensors and Actuators A-physical 工程技术-工程：电子与电气

CiteScore

8.10

自引率

6.50%

发文量

630

审稿时长

49 days

期刊介绍： Sensors and Actuators A: Physical brings together multidisciplinary interests in one journal entirely devoted to disseminating information on all aspects of research and development of solid-state devices for transducing physical signals. Sensors and Actuators A: Physical regularly publishes original papers, letters to the Editors and from time to time invited review articles within the following device areas: • Fundamentals and Physics, such as: classification of effects, physical effects, measurement theory, modelling of sensors, measurement standards, measurement errors, units and constants, time and frequency measurement. Modeling papers should bring new modeling techniques to the field and be supported by experimental results. • Materials and their Processing, such as: piezoelectric materials, polymers, metal oxides, III-V and II-VI semiconductors, thick and thin films, optical glass fibres, amorphous, polycrystalline and monocrystalline silicon. • Optoelectronic sensors, such as: photovoltaic diodes, photoconductors, photodiodes, phototransistors, positron-sensitive photodetectors, optoisolators, photodiode arrays, charge-coupled devices, light-emitting diodes, injection lasers and liquid-crystal displays. • Mechanical sensors, such as: metallic, thin-film and semiconductor strain gauges, diffused silicon pressure sensors, silicon accelerometers, solid-state displacement transducers, piezo junction devices, piezoelectric field-effect transducers (PiFETs), tunnel-diode strain sensors, surface acoustic wave devices, silicon micromechanical switches, solid-state flow meters and electronic flow controllers. Etc...