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Fatigue Identification Models for Firefighters Based on Electrocardiogram Signals

Xin Zheng et al.

Journal of Occupational and Environmental Medicine2026https://doi.org/10.1097/jom.0000000000003718article
AJG 2
Weight
0.50

What the paper says

Electrocardiogram-derived indicators provide a feasible and objective approach for identifying physical fatigue in firefighters, supporting occupational fatigue monitoring and safety management.

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https://doi.org/https://doi.org/10.1097/jom.0000000000003718

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@article{xin2026,
  title        = {{Fatigue Identification Models for Firefighters Based on Electrocardiogram Signals}},
  author       = {Xin Zheng et al.},
  journal      = {Journal of Occupational and Environmental Medicine},
  year         = {2026},
  doi          = {https://doi.org/https://doi.org/10.1097/jom.0000000000003718},
}

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Fatigue Identification Models for Firefighters Based on Electrocardiogram Signals

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Evidence weight

0.50

Balanced mode · F 0.40 / M 0.15 / V 0.05 / R 0.40

F · citation impact0.50 × 0.4 = 0.20
M · momentum0.50 × 0.15 = 0.07
V · venue signal0.50 × 0.05 = 0.03
R · text relevance †0.50 × 0.4 = 0.20

† Text relevance is estimated at 0.50 on the detail page — for your query’s actual relevance score, open this paper from a search result.