Literature DB >> 35415022

Contactless Monitoring of Breathing Pattern and Thoracoabdominal Asynchronies in Preterm Infants Using Depth Cameras: A Feasibility Study.

Valeria Ottaviani1, Chiara Veneroni1, Raffaele L Dellaca'1, Anna Lavizzari2, Fabio Mosca2,3, Emanuela Zannin1,4.   

Abstract

OBJECTIVE: Monitoring infants' breathing activity is crucial in research and clinical applications but remains a challenge. This study aims to develop a contactless method to monitor breathing patterns and thoracoabdominal asynchronies in infants inside the incubator, using depth cameras.
METHODS: We proposed an algorithm to extract the 3D displacements of the ribcage and abdomen from the analysis of depth images. We evaluated the accuracy of the system in-vitro vs. a reference motion capture analyzer. We also conducted a feasibility study on 12 patients receiving non-invasive respiratory support to estimate the mean and the variability of the chest wall displacements in preterm infants and evaluate the suitability of the proposed system in the clinical setting.
RESULTS: In-vitro, the mean (95% CI) error in the measurement of amplitude, frequency and phase shift between compartmental displacements was -0.14 (-0.57, 0.28) mm, 0.02 (-0.99, 1.03) bpm, and -0.40 (-1.76, 0.95)°, respectively. In-vivo, the mean (95% CI) amplitude of the ribcage and abdomen displacements were 0.99 (0.34, 2.67) mm and 1.20 (0.40, 2.15) mm, respectively.
CONCLUSIONS: The developed system proved accurate in-vitro and was suitable for the clinical environment. CLINICAL IMPACT: The proposed method has value for evaluating infants' breathing patterns in research applications and, after further development, may represent a simple monitoring tool for infants' respiratory activity inside the incubator.

Entities:  

Keywords:  Breathing pattern; RGB-D sensors; depth camera; newborn infants; respiratory movements; thoracoabdominal displacements

Mesh:

Year:  2022        PMID: 35415022      PMCID: PMC8989160          DOI: 10.1109/JTEHM.2022.3159997

Source DB:  PubMed          Journal:  IEEE J Transl Eng Health Med        ISSN: 2168-2372


  27 in total

1.  Non-contact heart and respiratory rate monitoring of preterm infants based on a computer vision system: a method comparison study.

Authors:  Kim Gibson; Ali Al-Naji; Julie Fleet; Mary Steen; Adrian Esterman; Javaan Chahl; Jasmine Huynh; Scott Morris
Journal:  Pediatr Res       Date:  2019-07-27       Impact factor: 3.756

2.  Tidal volume measurements in infants: Opto-electronic plethysmography versus pneumotachograph.

Authors:  Cyda Maria Albuquerque Reinaux; Andrea Aliverti; Lívia Gabriely Melo da Silva; Rafael Justino da Silva; Juliane Neves Gonçalves; Jessica Brito Noronha; José Eulálio Cabral Filho; Armèle Dornelas de Andrade; Murilo Carlos de Amorim Britto
Journal:  Pediatr Pulmonol       Date:  2016-03-17

Review 3.  Advancements in Methods and Camera-Based Sensors for the Quantification of Respiration.

Authors:  Haythem Rehouma; Rita Noumeir; Sandrine Essouri; Philippe Jouvet
Journal:  Sensors (Basel)       Date:  2020-12-17       Impact factor: 3.576

4.  Changes in respiratory pattern resulting from the use of a facemask to record respiration in newborn infants.

Authors:  P J Fleming; M R Levine; A Goncalves
Journal:  Pediatr Res       Date:  1982-12       Impact factor: 3.756

5.  Measurement of total and compartmental lung volume changes in newborns by optoelectronic plethysmography.

Authors:  Raffaele L Dellaca'; Maria L Ventura; Emanuela Zannin; Miria Natile; Antonio Pedotti; Paolo Tagliabue
Journal:  Pediatr Res       Date:  2010-01       Impact factor: 3.756

6.  Effects of a face mask and pneumotachograph on breathing in sleeping infants.

Authors:  T Dolfin; P Duffty; D Wilkes; S England; H Bryan
Journal:  Am Rev Respir Dis       Date:  1983-12

7.  Accuracy of oscillatory pressure measured by mechanical ventilators during high frequency oscillatory ventilation in newborns.

Authors:  Chiara Veneroni; Marta Tossici; Emanuela Zannin; Ilaria Milesi; Raffaele L Dellaca'
Journal:  Pediatr Pulmonol       Date:  2018-05-10

8.  Chest wall and lung volume estimation by optical reflectance motion analysis.

Authors:  S J Cala; C M Kenyon; G Ferrigno; P Carnevali; A Aliverti; A Pedotti; P T Macklem; D F Rochester
Journal:  J Appl Physiol (1985)       Date:  1996-12

9.  Comparative analysis of respiratory motion tracking using Microsoft Kinect v2 sensor.

Authors:  Evan Silverstein; Michael Snyder
Journal:  J Appl Clin Med Phys       Date:  2018-03-25       Impact factor: 2.102

10.  Non-contact physiological monitoring of preterm infants in the Neonatal Intensive Care Unit.

Authors:  Mauricio Villarroel; Sitthichok Chaichulee; João Jorge; Sara Davis; Gabrielle Green; Carlos Arteta; Andrew Zisserman; Kenny McCormick; Peter Watkinson; Lionel Tarassenko
Journal:  NPJ Digit Med       Date:  2019-12-12
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