Abstract 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%]). Practitioner Summary: These results provide a better understanding of the accuracy of various HR-based work metabolism (WM) estimation models. This information should prove particularly useful to ergonomics professionals wishing to select a method that provides accurate estimation of WM from HR measurements during work in varied thermal environments. Abbreviations: BMI: body mass index; HR: heart rate (beats per min); HR99: HR value exceeded during 99% of the duration of the HR recording period; HRcorr: heart rate without thermal pulses; HRraw: measured heart rate; HRres: heart rate reserve; HRrest: heart rate at rest; LoA: limits of agreement; Mrest: resting metabolism; MWC: maximum work capacity; RMSE: root mean square error; VO2: oxygen consumption; VO2 max: maximum oxygen consumption; WM: work metabolism

中文翻译：

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九种基于心率的模型预测森林工人工作代谢的比较

摘要 将来自 9 个基于心率 (HR) 的模型的预测工作代谢 (WM) 与 39 名森林工人在工作期间获得的实测 WM 进行比较。在这些模型中使用测量的（即原始的）HR 会高估实际 WM，因为与体热积累相关的 HR 增加是非代谢性的。因此，使用原始 HR 和校正 HR（去除了热成分）以及对需要将其作为输入的模型的最大工作能力 (MWC) 的五种不同估计，对所有可能的模型组合评估 WM 预测的准确性。50 个模型组合产生了广泛的 WM 估计值。使用单独校准的三个模型产生最低的 RMSE 和最窄的 LoA，校正 HR（rRMSE ≤13%；LoA [rBias <5% ± 25%]）。其中一种既不需要确定热成分也不需要单独校准的模型表现非常好（rRMSE = 18%；LoA [rBias = 1% ± 36%]）。从业者总结：这些结果提供了对各种基于 HR 的工作代谢 (WM) 估计模型准确性的更好理解。对于希望选择一种方法，在不同热环境下工作期间根据 HR 测量值准确估计 WM 的方法，此信息应该证明特别有用。缩写：BMI：体重指数；HR：心率（每分钟心跳次数）；HR99：HR 记录期间超过 99% 的 HR 值；HRcorr：无热脉冲的心率；HRraw：测量的心率；HRres：心率储备；HRrest：休息时的心率；LoA：协议限制；Mrest：静息代谢；世界移动通信大会：最大工作能力；RMSE：均方根误差；VO2：耗氧量；VO2 max：最大耗氧量；WM：工作新陈代谢