PilotCareTrans Net: an EEG data-driven transformer for pilot health monitoring

The experimental results demonstrate the model's ability to not only enhance prediction accuracy but also reduce computational complexity, making it suitable for real-time applications in resource-constrained settings. These findings indicate that PilotCareTrans Net holds significant potential for improving cognitive health monitoring and intervention strategies in aviation, thereby contributing to enhanced safety and performance in critical environments.

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Publication Details

Journal
Frontiers in Human Neuroscience
Published
2025-01-29
DOI
https://doi.org/10.3389/fnhum.2025.1503228
Citations
2
Primary Topic
EEG and Brain-Computer Interfaces
Type
article
Field-Weighted Citation Impact
2.86
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article

PilotCareTrans Net: an EEG data-driven transformer for pilot health monitoring

Xueying Guo, Kun Zhao
2 citations
Frontiers in Human Neuroscience
EEG and Brain-Computer Interfaces
2.86
article

PilotCareTrans Net: an EEG data-driven transformer for pilot health monitoring

Xueying Guo, Kun Zhao
article en
2 citations

Abstract

The experimental results demonstrate the model's ability to not only enhance prediction accuracy but also reduce computational complexity, making it suitable for real-time applications in resource-constrained settings. These findings indicate that PilotCareTrans Net holds significant potential for improving cognitive health monitoring and intervention strategies in aviation, thereby contributing to enhanced safety and performance in critical environments.

Frontiers in Human NeuroscienceVol. 19
Civil Aviation University of China (CN)
Openalex Percentile: Top 12%
EEG and Brain-Computer Interfaces
2.86
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