Summary:
Published in Ergonomics: 1-20.
Predicted work metabolism (WM) from 9 heart rate (HR)-based models were compared to measured WM obtained during work in 39 forest workers. Using measured (i.e. raw) HR in these models can overestimate actual WM since the HR increase associated with body heat accumulation is non-metabolic. Hence, accuracy of WM prediction was assessed on all possible combinations of models using raw HR and corrected HR (thermal component removed) and with five different estimates of maximum work capacity (MWC) for the models that require it as an input. The 50 model combinations produced a wide range of WM estimates. Three models using individual calibration produced the lowest RMSE and narrowest LoA with corrected HR (rRMSE <13%; LoA [rBias <5% ± 25%]). One of the models that requires neither determination of the thermal component nor individual calibration performed very well (rRMSE = 18%; LoA [rBias = 1% ± 36%]).
Permanent identifier (DOI):
Sector(s):
Forests
Catégorie(s):
Scientific Article
Theme(s):
Forestry Research, Forestry Work, Forests
Departmental author(s):
Author(s):
ARAB, Sahar, Daniel IMBEAU, Denise DUBEAU, Philippe-Antoine DUBÉ and Isabelle AUGER
Year of publication:
2020
How to get the publication:
ISSN:
0014-0139
Keyword(s):
forest work study, work metabolism, heart rate, forest workers, model prediction