Physiological Validation of an Airborne Ultrasound Based Surface Motion Camera for a Contactless Characterization of Breathing Pattern in Humans

• Published in: Frontiers in physiology Vol. 10; p. 680
• Main Authors: Niérat, Marie-Cécile, Laveneziana, Pierantonio, Dubé, Bruno-Pierre, Shirkovskiy, Pavel, Ing, Ros-Kiri, Similowski, Thomas
• Format: Journal Article
• Language: English
• Published: Switzerland Frontiers 2019; Frontiers Media S.A
• Subjects: airborne ultrasound; Bioengineering; breathing pattern; breathing variability; contactless breathing measurement; Human health and pathology; Imaging; Life Sciences; observer effect; Physiology; Tissues and Organs; vibrometry; contactless breathing measurement; breathing pattern; observer effect; vibrometry; airborne ultrasound; breathing variability
• ISSN: 1664-042X; 1664-042X
• DOI: 10.3389/fphys.2019.00680

Characterizing the breathing pattern in naturally breathing humans brings important information on respiratory mechanics, respiratory muscle, and breathing control. However, measuring breathing modifies breathing (observer effect) through the effects of instrumentation and awareness: measuring human breathing under true ecological conditions is currently impossible. This study tested the hypothesis that non-contact vibrometry using airborne ultrasound (SONAR) could measure breathing movements in a contactless and invisible manner. Thus, first, we evaluated the validity of SONAR measurements by testing their interchangeability with pneumotachograph (PNT) measurements obtained at the same time. We also aimed at evaluating the observer effect by comparing breathing variability obtained by SONAR versus SONAR-PNT measurements. Twenty-three healthy subjects (12 men and 11 women; mean age 33 years - range: 20-54) were studied during resting breathing while sitting on a chair. Breathing activity was described in terms of ventilatory flow measured using a PNT and, either simultaneously or sequentially, with a SONAR device measuring the velocity of the surface motion of the chest wall. SONAR was focused either anteriorly on the xiphoid process or posteriorly on the lower part of the costal margin. Discrete ventilatory temporal and volume variables and their coefficients of variability were calculated from the flow signal (PNT) and the velocity signal (SONAR) and tested for interchangeability (Passing-Bablok regression). Tidal volume (VT) and displacement were linearly related. Breathing frequency (BF), total cycle time (TT), inspiratory time (TI), and expiratory time (TE) met interchangeability criteria. Their coefficients of variation were not statistically significantly different with PNT and SONAR-only. This was true for both the anterior and the posterior SONAR measurements. Non-contact vibrometry using airborne ultrasound is a valid tool for measuring resting breathing pattern.