Study on Detection of Driving Fatigue Based on ECG Collected by a Novel Semi-Dry Electrode

This study proposes a novel semi-dry electrode to address the limitations of traditional electrodes in electrocardiogram (ECG) signal acquisition experiments. The electrode, designed with a detachable snap-in device, is mounted on a steering wheel to enable the collection of palm-based ECG signals. By combining the advantages of traditional wet and dry electrodes, the semi-dry electrode achieves a skin contact impedance of 18.31±3.21 kΩ and maintains stable performance for up to 10 hours in a driving environment. Additionally, the study evaluates the effectiveness of the semi-dry electrode in monitoring driver fatigue by analyzing its correlation with electroencephalogram (EEG) features. The results reveal a strong correlation (average r=0.9337) between fatigue trends detected by the semi-dry electrode and variations in EEG features. These findings demonstrate that the proposed semi-dry electrode is capable of effectively monitoring long-term driving fatigue.

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Publication Details

Journal
IEEE Sensors Journal
Published
2025-09-25
DOI
https://doi.org/10.1109/jsen.2025.3611968
Primary Topic
Advanced Sensor and Control Systems
Type
article
Field-Weighted Citation Impact
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article

Study on Detection of Driving Fatigue Based on ECG Collected by a Novel Semi-Dry Electrode

Rongrong Fu, Qi Guo, Wanchao Yao, Fuwang Wang
IEEE Sensors Journal
Advanced Sensor and Control Systems
article

Study on Detection of Driving Fatigue Based on ECG Collected by a Novel Semi-Dry Electrode

Rongrong Fu, Qi Guo, Wanchao Yao, Fuwang Wang
article en

Abstract

This study proposes a novel semi-dry electrode to address the limitations of traditional electrodes in electrocardiogram (ECG) signal acquisition experiments. The electrode, designed with a detachable snap-in device, is mounted on a steering wheel to enable the collection of palm-based ECG signals. By combining the advantages of traditional wet and dry electrodes, the semi-dry electrode achieves a skin contact impedance of 18.31±3.21 kΩ and maintains stable performance for up to 10 hours in a driving environment. Additionally, the study evaluates the effectiveness of the semi-dry electrode in monitoring driver fatigue by analyzing its correlation with electroencephalogram (EEG) features. The results reveal a strong correlation (average r=0.9337) between fatigue trends detected by the semi-dry electrode and variations in EEG features. These findings demonstrate that the proposed semi-dry electrode is capable of effectively monitoring long-term driving fatigue.

IEEE Sensors JournalVol. 25(21)
Northeast Electric Power University (CN), Yanshan University (CN)
Openalex Percentile: Top 67%
Advanced Sensor and Control Systems
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