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Open AccessArticle
Mental Fatigue Detection of Crane Operators Based on Electroencephalogram Signals Acquired by a Novel Rotary Switch-Type Semi-Dry Electrode Using Multifractal Detrend Fluctuation Analysis
by
Fuwang Wang
Fuwang Wang 1,2
,
Daping Chen
Daping Chen 1
and
Xiaolei Zhang
Xiaolei Zhang 1,*
1
School of Mechanic Engineering, Northeast Electric Power University, Jilin 132012, China
2
Gongqing Institute of Science and Technology, Jiujiang 332020, China
*
Author to whom correspondence should be addressed.
Sensors 2025, 25(13), 3994; https://doi.org/10.3390/s25133994 (registering DOI)
Submission received: 23 May 2025
/
Revised: 19 June 2025
/
Accepted: 25 June 2025
/
Published: 26 June 2025
Abstract
The mental fatigue of crane operators can pose a serious threat to construction safety. To enhance the safety of crane operations on construction sites, this study proposes a rotary switch semi-dry electrode for detecting the mental fatigue of crane operators. This rotary switch semi-dry electrode overcomes the problems of the large impedance value of traditional dry electrodes, the cumbersome wet electrode operation, and the uncontrollable outflow of conductive liquid from traditional semi-dry electrodes. By designing a rotary switch structure inside the electrode, it allows the electrode to be turned on and used in motion, which greatly improves the efficiency of using the conductive fluid and prolongs the electrode’s use time. A conductive sponge was used at the electrode’s contact end with the skin, improving comfort and making it suitable for long-term wear. In addition, in this study, the multifractal detrend fluctuation analysis (MF-DFA) method was used to detect the mental fatigue state of crane operators. The results indicate that the MF-DFA is more responsive to the tiredness traits of individuals than conventional fatigue detection methods. The proposed rotary switch semi-dry electrode can quickly and accurately detect the mental fatigue of crane operators, provide support for timely warning or intervention, and effectively reduce the risk of accidents at construction sites, enhancing construction safety and efficiency.
Share and Cite
MDPI and ACS Style
Wang, F.; Chen, D.; Zhang, X.
Mental Fatigue Detection of Crane Operators Based on Electroencephalogram Signals Acquired by a Novel Rotary Switch-Type Semi-Dry Electrode Using Multifractal Detrend Fluctuation Analysis. Sensors 2025, 25, 3994.
https://doi.org/10.3390/s25133994
AMA Style
Wang F, Chen D, Zhang X.
Mental Fatigue Detection of Crane Operators Based on Electroencephalogram Signals Acquired by a Novel Rotary Switch-Type Semi-Dry Electrode Using Multifractal Detrend Fluctuation Analysis. Sensors. 2025; 25(13):3994.
https://doi.org/10.3390/s25133994
Chicago/Turabian Style
Wang, Fuwang, Daping Chen, and Xiaolei Zhang.
2025. "Mental Fatigue Detection of Crane Operators Based on Electroencephalogram Signals Acquired by a Novel Rotary Switch-Type Semi-Dry Electrode Using Multifractal Detrend Fluctuation Analysis" Sensors 25, no. 13: 3994.
https://doi.org/10.3390/s25133994
APA Style
Wang, F., Chen, D., & Zhang, X.
(2025). Mental Fatigue Detection of Crane Operators Based on Electroencephalogram Signals Acquired by a Novel Rotary Switch-Type Semi-Dry Electrode Using Multifractal Detrend Fluctuation Analysis. Sensors, 25(13), 3994.
https://doi.org/10.3390/s25133994
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