Cognitive Response of Underground Car Driver Observed by Brain EEG Signals.

Yizhe Zhang, Lunfeng Guo, Xiusong You, Bing Miao, Yunwang Li

Abstract read

In one paragraph

Article in Sensors (Basel, Switzerland), 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it

0cells of the map it votes in

0citing papers in PubMed

–field-weighted citation impact

1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors.

Yizhe ZhangSchool of Mechanical and Electrical Engineering, China University of Mining and Technology (Beijing), Beijing 100083, China.ORCID 0009-0007-3066-4245

Lunfeng GuoSchool of Mechanical and Electrical Engineering, China University of Mining and Technology (Beijing), Beijing 100083, China.ORCID 0009-0008-0895-2838

Xiusong YouSchool of Mechanical and Electrical Engineering, China University of Mining and Technology (Beijing), Beijing 100083, China.

Bing MiaoSchool of Mechanical and Electrical Engineering, China University of Mining and Technology (Beijing), Beijing 100083, China.

Yunwang LiSchool of Mechanical and Electrical Engineering, China University of Mining and Technology (Beijing), Beijing 100083, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In auxiliary transportation within mines, accurately assessing the cognitive and response states of drivers is vital for ensuring safety and operational efficiency. This study investigates the effects of various vehicle interaction stimuli on the electroencephalography (EEG) signals of mine transport vehicle drivers, analyzing the cognitive and response states of drivers under different conditions to evaluate their impact on safety performance. Through experimental design, we simulate multiple scenarios encountered in real operations, including interactions with dynamic and static vehicles, personnel, and warning signs. EEG technology records brain signals during these scenarios, and data analysis reveals changes in the cognitive states and responses of drivers to different stimuli. The results indicate significant variations in EEG signals with interactions involving dynamic and static vehicles, personnel, and warning signs, reflecting shifts in the cognitive and response states of drivers. Additionally, the study examines the overall impact of different interaction objects and environments. The detailed analysis of EEG signals in different scenarios sheds light on changes in perception, attention, and responses related to drivers, which is critical for advancing safety and sustainability in mining operations.

Indexed as

Automobile DrivingBrainCognitionElectroencephalographyAdultAttentionFemaleHumansMaleMiningcoal minedriver cognitionEEGmine transport vehiclesignal processing

Identifiers

PMID39686301

DOI10.3390/s24237763

PMCPMC11644968

What OpenQuestion holds

Textmetadata

LicenceCC BY

Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.