García Cena Cecilia E, Silva Luís, Diaz Palencia Fabian H, Moríñigo María Islán, Santos Cristina P, Pazmiño Roque Saltarén, Benito-León Julian, Gómez-Andrés David
ETSIDI-Centre for Automation and Robotics from Universidad Politecnica de Madrid. Spain. C. Ronda de Valencia 3, 28012. Madrid. Spain.
Industrial Electronics Department, University of Minho, Guimarães, Portugal.
Enfoque UTE. 2023 Jul-Sep;14(3):36-48. doi: 10.29019/enfoqueute.972.
Nowadays, the measurement of respiratory dynamics is underrated at clinical setting and in the daily life of a subject and it still represents a challenge from a technical and medical point of view. In this article we propose a concept to measure some of its parameters, such as the respiratory rate (RR), using four inertial sensors. Two different experiments were performed to validate the concept. We analyzed the most suitable placement of each sensor to assess those features and we studied the reliability of the system to measure abnormal parameters of respiration (tachypnea, bradypnea and breath holding). Finally, we measured post-COVID-19 patients, some of them with breath alterations after more than a year of the diagnosis. Experimental results showed that the proposed system could be potentially used to measure the respiratory dynamics at clinical setting. Moreover, while RR can be easily calculated by any sensor, other parameters need to be measured with a sensor in a particular position.
如今，呼吸动力学的测量在临床环境和受试者的日常生活中未得到充分重视，并且从技术和医学角度来看，它仍然是一项挑战。在本文中，我们提出了一种使用四个惯性传感器来测量其一些参数（如呼吸频率（RR））的概念。进行了两个不同的实验来验证该概念。我们分析了每个传感器的最合适放置位置以评估这些特征，并研究了该系统测量呼吸异常参数（呼吸急促、呼吸过缓和屏气）的可靠性。最后，我们对新冠疫情康复后的患者进行了测量，其中一些患者在确诊一年多后仍有呼吸改变。实验结果表明，所提出的系统有可能用于在临床环境中测量呼吸动力学。此外，虽然任何传感器都可以轻松计算RR，但其他参数需要在特定位置使用传感器进行测量。
