Ecole normale supérieure de Rennes, Campus de Ker Lann, Avenue Robert Schuman, 35170 Bruz, France. Laboratoire Mouvement, Sport, Santé (EA 7470), Université de Rennes 2, Avenue Robert Schuman, 35170 Bruz, France.
Physiol Meas. 2019 Apr 3;40(3):03TR01. doi: 10.1088/1361-6579/ab0b63.
The precise measurement of respiratory variables, such as tidal volume, minute ventilation, and respiratory rate, is necessary to monitor respiratory status, overcome several diseases, improve patient health conditions and reduce health care costs. This measurement has conventionally been performed by breathing into a mouthpiece connected to a flow rate measuring device. However, a mouthpiece can be uncomfortable for the subject and is difficult to use for long-term monitoring. Other noninvasive systems and devices have been developed that do not require a mouthpiece to quantitatively measure respiratory variables. These techniques are based on measuring size changes of the rib cage (RC) and abdomen (ABD), as lung volume is known to be a function of these variables. Among these systems, we distinguish respiratory inductive plethysmography (RIP), respiratory magnetometer plethysmography (RMP), and optoelectronic plethysmography devices. However, these devices should be previously calibrated for the correct evaluation of respiratory variables. The most popular calibration methods are isovolume manoeuvre calibration (ISOCAL), qualitative diagnostic calibration (QDC), multiple linear regression (MLR) and artificial neural networks (ANNs). The aim of this review is first to present how thoracoabdominal breathing distances can be used to estimate respiratory variables and second to present the different techniques and calibration methods used for this purpose.
准确测量呼吸变量,如潮气量、分钟通气量和呼吸频率,对于监测呼吸状态、克服多种疾病、改善患者健康状况和降低医疗保健成本是必要的。传统上,这一测量是通过向与流量测量装置相连的呼吸面罩中呼气来完成的。然而,呼吸面罩可能会让受测者感到不适,并且难以用于长期监测。已经开发出其他非侵入性的系统和设备,不需要呼吸面罩来定量测量呼吸变量。这些技术基于测量胸廓(RC)和腹部(ABD)的大小变化,因为众所周知,肺容量是这些变量的函数。在这些系统中,我们区分呼吸感应体积描记术(RIP)、呼吸磁力计体积描记术(RMP)和光电体积描记设备。然而,这些设备应该事先进行校准,以正确评估呼吸变量。最流行的校准方法是等容操作校准(ISOCAL)、定性诊断校准(QDC)、多元线性回归(MLR)和人工神经网络(ANNs)。本综述的目的首先是介绍如何使用胸腹部呼吸距离来估计呼吸变量,其次是介绍为此目的而使用的不同技术和校准方法。