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.
Authors
- Rongrong Fu (ORCID: https://orcid.org/0000-0003-0350-7619)
- Qi Guo (ORCID: https://orcid.org/0000-0003-2453-4018)
- Wanchao Yao (ORCID: https://orcid.org/0009-0003-4262-8779)
- Fuwang Wang (ORCID: https://orcid.org/0000-0001-7209-7997)
Institutions
- Northeast Electric Power University (CN)
- Yanshan University (CN)
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
- 0.00