Department of Structural and Geotechnical Engineering, School of Engineering, and Institute for Biological and Medical Engineering, Schools of Engineering, Medicine and Biological Sciences, Pontificia Universidad Católica de Chile, Vicuña Mackenna 4860, Santiago, Chile.
Department of Electrical Engineering, School of Engineering, Pontificia Universidad Católica de Chile, Vicuña Mackenna, 4860, Santiago, Chile.
J Clin Monit Comput. 2020 Apr;34(2):223-231. doi: 10.1007/s10877-019-00329-5. Epub 2019 Jun 3.
Respiratory rate (RR) is a key vital sign that has been traditionally employed in the clinical assessment of patients and in the prevention of respiratory compromise. Despite its relevance, current practice for monitoring RR in non-intubated patients strongly relies on visual counting, which delivers an intermittent and error-prone assessment of the respiratory status. Here, we present a novel non-invasive respiratory monitor that continuously measures the RR in human subjects. The respiratory activity of the user is inferred by sensing the thermal transfer between the breathing airflow and a temperature sensor placed between the nose and the mouth. The performance of the respiratory monitor is assessed through respiratory experiments performed on healthy subjects. Under spontaneous breathing, the mean RR difference between our respiratory monitor and visual counting was 0.4 breaths per minute (BPM), with a 95% confidence interval equal to [- 0.5, 1.3] BPM. The robustness of the respiratory sensor to the position is assessed by studying the signal-to-noise ratio in different locations on the upper lip, displaying a markedly better performance than traditional thermal sensors used for respiratory airflow measurements.
呼吸频率(RR)是一个关键的生命体征,传统上用于对患者进行临床评估和预防呼吸功能受损。尽管它具有相关性,但目前对非插管患者 RR 的监测主要依赖于视觉计数,这种方法对呼吸状态的评估是间歇性的,且容易出错。在这里,我们提出了一种新的无创式呼吸监测仪,可以连续测量人体的 RR。用户的呼吸活动通过感应呼吸气流和放置在鼻子和嘴巴之间的温度传感器之间的热传递来推断。通过对健康受试者进行的呼吸实验来评估呼吸监测仪的性能。在自主呼吸下,我们的呼吸监测仪与视觉计数的平均 RR 差异为每分钟 0.4 次(BPM),95%置信区间为[-0.5,1.3]BPM。通过研究上唇不同位置的信噪比来评估呼吸传感器对位置的鲁棒性,与用于呼吸气流测量的传统热传感器相比,它表现出明显更好的性能。