PDF(Pubmed)
Abstract：
UNASSIGNED: During heatwaves, it is important to monitor workers\' cardiovascular health since 35% of those working in hot environments experience symptoms of heat strain. Wearable technology has been popularized for monitoring heart rate (HR) during recreational activities, but it can also be used to monitor occupational heat strain based on core and skin temperatures and HR. To our knowledge, no devices estimate the cardiovascular strain directly based on stroke volume (SV) or cardiac output (CO). In addition to the hardware, there are limitations regarding the lack of suitable algorithms that would provide such an index based on relevant physiological responses. The validation of the formulae already existing in literature was the principle aim of the present study.
UNASSIGNED: We monitored the cardiovascular responses of our participants to a supine and 60° head-up tilt at the same time each day. During the test, we measured blood pressure derived by finger photoplethysmography, which also provided beat-by-beat measures of SV and CO. Afterwards, we compared the SV derived from the photoplethysmography with the one calculated with the different equations that already exist in literature.
UNASSIGNED: The evaluation of the formulae was based on comparing the error of prediction. This residual analysis compared the sum of the squared residuals generated by each formula using the same data set.
UNASSIGNED: Our findings suggest that estimating SV with existing formulae is feasible, showing a good correlation and a relatively small bias. Thus, simply measuring workers\' blood pressure during breaks could estimate their cardiac strain.
UNASSIGNED: We monitored the cardiovascular responses of our participants to a supine and 60° head-up tilt at the same time each day. During the test, we measured blood pressure derived by finger photoplethysmography, which also provided beat-by-beat measures of SV and CO. Afterwards, we compared the SV derived from the photoplethysmography with the one calculated with the different equations that already exist in literature.
UNASSIGNED: The evaluation of the formulae was based on comparing the error of prediction. This residual analysis compared the sum of the squared residuals generated by each formula using the same data set.
UNASSIGNED: Our findings suggest that estimating SV with existing formulae is feasible, showing a good correlation and a relatively small bias. Thus, simply measuring workers\' blood pressure during breaks could estimate their cardiac strain.
摘要：
■在热浪期间，监测工人的心血管健康非常重要，因为35%在高温环境中工作的工人会出现热疲劳症状。可穿戴技术已经普及，用于在娱乐活动中监测心率（HR），但它也可用于监测基于核心和皮肤温度和HR的职业热应变。据我们所知,没有设备根据每搏输出量(SV)或心输出量(CO)直接估计心血管应变。除了硬件，关于缺乏将基于相关生理反应提供这样的指数的合适算法存在限制。对文献中已经存在的公式的验证是本研究的主要目的。
■我们每天同时监测参与者对仰卧和60°抬头倾斜的心血管反应。在测试过程中,我们通过手指光电容积描记术测量血压，它还提供了SV和CO的逐点测量。之后,我们将从光电体积描记术得出的SV与文献中已经存在的不同方程计算得出的SV进行了比较。
■公式的评估基于比较预测误差。该残差分析比较了使用相同数据集的每个公式生成的残差平方和。
■我们的研究结果表明，用现有公式估计SV是可行的，表现出良好的相关性和相对较小的偏差。因此，简单地测量工人休息时的血压就可以估计他们的心脏压力。
■我们每天同时监测参与者对仰卧和60°抬头倾斜的心血管反应。在测试过程中,我们通过手指光电容积描记术测量血压，它还提供了SV和CO的逐点测量。之后,我们将从光电体积描记术得出的SV与文献中已经存在的不同方程计算得出的SV进行了比较。
■公式的评估基于比较预测误差。该残差分析比较了使用相同数据集的每个公式生成的残差平方和。
■我们的研究结果表明，用现有公式估计SV是可行的，表现出良好的相关性和相对较小的偏差。因此，简单地测量工人休息时的血压就可以估计他们的心脏压力。
