Abstract
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.
Highlights
Respiratory rate measurement has been shown to be able to predict adverse clinical events, such as admission to the Intensive Care Unit (ICU)
Respiratory rate is a vital sign used to monitor the progression of several illnesses, to predict adverse clinical events and to discriminate between patients at risk and stable patients
Given that AirgoTM’s respiratory rate estimates had a good correspondence with the analyses performed with an instrument that can be considered the gold standard, it can be concluded that the AirgoTM device could be useful to monitor respiratory rate in a non-invasive and non-intrusive way during everyday activities and sleep
Summary
Respiratory rate measurement has been shown to be able to predict adverse clinical events, such as admission to the Intensive Care Unit (ICU). Under specific circumstances, it is more effective than pulse or blood measurements at discriminating between stable patients and patients at risk [1,2]. The work by Yañez et al [3] is based on a direct measurement of the flow to assess the respiratory frequency in COPD patients In this study, it was observed than the mean respiratory rate was raised 15 days prior to hospitalization A recent study on the novel COVID-19 pointed out that respiratory rate is one of the most predictive signals of worsening of patients’ conditions [6]
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