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Comparison between the Airgo™ Device and a Metabolic Cart during Rest and Exercise.
Sensors ( IF 3.4 ) Pub Date : 2020-07-15 , DOI: 10.3390/s20143943
Andrea Antonelli 1 , Dario Guilizzoni 2 , Alessandra Angelucci 2 , Giulio Melloni 3 , Federico Mazza 3 , Alessia Stanzi 3 , Massimiliano Venturino 3 , David Kuller 4 , Andrea Aliverti 2
Affiliation  

The aim of this study is to compare the accuracy of Airgo™, a non-invasive wearable device that records breath, with respect to a gold standard. In 21 healthy subjects (10 males, 11 females), four parameters were recorded for four min at rest and in different positions simultaneously by Airgo™ and SensorMedics 2900 metabolic cart. Then, a cardio-pulmonary exercise test was performed using the Erg 800S cycle ergometer in order to test Airgo™’s accuracy during physical effort. The results reveal that the relative error median percentage of respiratory rate was of 0% for all positions at rest and for different exercise intensities, with interquartile ranges between 3.5 (standing position) and 22.4 (low-intensity exercise) breaths per minute. During exercise, normalized amplitude and ventilation relative error medians highlighted the presence of an error proportional to the volume to be estimated. For increasing intensity levels of exercise, Airgo™’s estimate tended to underestimate the values of the gold standard instrument. In conclusion, the Airgo™ device provides good accuracy and precision in the estimate of respiratory rate (especially at rest), an acceptable estimate of tidal volume and minute ventilation at rest and an underestimation for increasing volumes.

中文翻译:

在休息和锻炼期间,Airgo™设备与代谢推车之间的比较。

这项研究的目的是比较Airgo™(一种记录呼吸的非侵入性可穿戴设备)相对于黄金标准的准确性。在21名健康受试者(男10例,女11例)中,Airgo™和SensorMedics 2900代谢推车同时记录了四个参数,分别记录了他们在静止和在不同位置的四分钟。然后,使用Erg 800S自行车测功计进行心肺运动测试,以测试Airgo™在体力劳动中的准确性。结果表明,所有姿势的休息和不同运动强度下呼吸速率的相对误差中位数百分比均为0%,四分位间距为每分钟3.5次(站立姿势)至22.4次(低强度运动)呼吸。在运动中 归一化幅度和通风相对误差中位数突出显示了与要估计的体积成比例的误差。为了增加运动强度,Airgo™的估计往往低估了金标准仪器的价值。总之,Airgo™设备在估计呼吸频率(尤其是在静息状态),对潮气量和静息时的分钟通气量进行可接受的估计以及对增加风量的低估方面提供了良好的准确性和精确性。
更新日期:2020-07-15
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