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The central aim is to review advances in monitoring vital signs and environmental factors affecting miners' health.

Advances in vital‐sign prediction and early‐warning models for underground coal mine workers integrating environmental factors

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The central aim is to review advances in monitoring vital signs and environmental factors affecting miners' health.
Systematic review of environmental parameter monitoring and vital-sign detection methods.
Analysis of nonlinear impacts of environmental stressors on physiological systems.
Evaluation of multi-source data fusion for early-warning models.
Enhanced data quality through adaptive threshold filtering and GANs.
Synergistic approaches combining statistical thresholds, machine learning, and digital twin technologies.
Identification of challenges in data standardization, model generalizability, and multi-factor impact quantification.

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A systematic review demonstrates improved health monitoring for miners integrating environmental factors, suggesting enhanced safety protocols.

Zhu et al. (2026) studied this question.

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A systematic review demonstrates improved health monitoring for miners integrating environmental factors, suggesting enhanced safety protocols.