Heart rate modeling and prediction of construction workers based on physical activity using deep learning
Published 2023 View Full Article
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Title
Heart rate modeling and prediction of construction workers based on physical activity using deep learning
Authors
Keywords
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Journal
AUTOMATION IN CONSTRUCTION
Volume 155, Issue -, Pages 105077
Publisher
Elsevier BV
Online
2023-08-31
DOI
10.1016/j.autcon.2023.105077
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- (2019) Atef M. Ghaleb et al. International Journal of Environmental Research and Public Health
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- (2019) Wilbur Pillsbury et al. JOURNAL OF PERFORMANCE OF CONSTRUCTED FACILITIES
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- The cumulative effects of work-related factors increase the heart rate of cabin field machine operators
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- (2017) Terry B. J. Kuo et al. JOURNAL OF MOTOR BEHAVIOR
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- (2016) Feng-Wen Hsu et al. APPLIED ERGONOMICS
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- (2008) Fu-Lin Chang et al. APPLIED ERGONOMICS
- Hydration status and physiological workload of UAE construction workers: a prospective longitudinal observational study
- (2008) Graham P Bates et al. Journal of Occupational Medicine and Toxicology
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