Applying ubiquitous sensing to estimate perceived exertion based on cardiorespiratory features
Applying ubiquitous sensing to estimate perceived exertion based on cardiorespiratory features
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DOI：
10.1007/s12283-021-00346-1
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发表时间：
2021-04-22
影响因子：
1.7
通讯作者：
Bergmann, Jeroen H. M.
中科院分区：
文献类型：
--
作者：
Bueno, Leonardo;Kwong, Man Ting;Bergmann, Jeroen H. M.
可靠地监测一个人对运动强度的反应对于有效地计划和管理训练至关重要，但在冲击性运动环境中并不总是实用的。本研究旨在评估一种廉价的移动的心肺监测系统在估计额定感知用力方面是否可以达到与代谢推车相似的性能。八名成年男子自愿在不同条件下进行跑步机测试。使用代谢推车和仪器化口腔设备收集呼吸数据，以及他们的主观用力评级。采用Pearson相关分析和逐步回归分析，观察心肺功能与主观用力评分之间的关系，并确定各测量值能解释的用力方差的比例。分钟通气量被认为是与感知用力最相关的变量，紧随其后的是一种称为音频分钟音量的新指标，它可以通过口腔设备收集。一个广义的线性模型相结合的每分钟通气量，音频分钟音量，心率和呼吸率占64%的方差，在感知的劳累，而一个模型，只有音频分钟音量占56%。我们的研究表明，每分钟通气量是估计室内跑步运动中感知消耗的关键。还观察到每分钟音量在估计感知用力方面与基于实验室的代谢车的表现相当。这项研究表明，移动的技术提供了潜在的真实世界的数据收集运动员的生理负荷和估计的感知用力。
Reliable monitoring of one's response to exercise intensity is imperative to effectively plan and manage training, but not always practical in impact sports settings. This study aimed to evaluate if an inexpensive mobile cardio-respiratory monitoring system can achieve similar performance to a metabolic cart in estimating rated perceived exertion. Eight adult men volunteered to perform treadmill tests under different conditions. Cardiorespiratory data were collected using a metabolic cart and an instrumented oral-cavity device, as well as their ratings of perceived exertion. Pearson correlation corrected for repeated measurements and stepwise regression analysis were used to observe the relationship between the cardiorespiratory features and the ratings of perceived exertion and determine the proportion of the variance of exertion that could be explained by the measurements. Minute ventilation was found to be the most associated variable to perceived exertion, closely followed by a novel metric called the audio minute volume, which can be collected by the oral-cavity device. A generalised linear model combining minute ventilation, audio minute volume, heart rate and respiration rate accounted for 64% of the variance in perceived exertion, whilst a model with only audio minute volume accounted for 56%. Our study indicates that minute ventilation is key to estimating perceived exertion during indoor running exercises. Audio minute volume was also observed to perform comparably to a lab-based metabolic cart in estimating perceived exertion. This research indicates that mobile techniques offer the potential for real-world data collection of an athlete's physiological load and estimation of perceived exertion.