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van der Linden M, Veldhoen ES, Arasteh E, Long X, Alderliesten T, de Goederen R, Dudink J. Noncontact respiration monitoring techniques in young children: A scoping review. Pediatr Pulmonol 2024; 59:1871-1884. [PMID: 38661255 DOI: 10.1002/ppul.27028] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/13/2023] [Revised: 03/22/2024] [Accepted: 04/14/2024] [Indexed: 04/26/2024]
Abstract
Pediatric sleep-related breathing disorders, or sleep-disordered breathing (SDB), cover a range of conditions, including obstructive sleep apnea, central sleep apnea, sleep-related hypoventilation disorders, and sleep-related hypoxemia disorder. Pediatric SDB is often underdiagnosed, potentially due to difficulties associated with performing the gold standard polysomnography in children. This scoping review aims to: (1) provide an overview of the studies reporting on safe, noncontact monitoring of respiration in young children, (2) describe the accuracy of these techniques, and (3) highlight their respective advantages and limitations. PubMed and EMBASE were searched for studies researching techniques in children <12 years old. Both quantitative data and the quality of the studies were analyzed. The evaluation of study quality was conducted using the QUADAS-2 tool. A total of 19 studies were included. Techniques could be grouped into bed-based methods, microwave radar, video, infrared (IR) cameras, and garment-embedded sensors. Most studies either measured respiratory rate (RR) or detected apneas; n = 2 aimed to do both. At present, bed-based approaches are at the forefront of research in noncontact RR monitoring in children, boasting the most sophisticated algorithms in this field. Yet, despite extensive studies, there remains no consensus on a definitive method that outperforms the rest. The accuracies reported by these studies tend to cluster within a similar range, indicating that no single technique has emerged as markedly superior. Notably, all identified methods demonstrate capability in detecting body movements and RR, with reported safety for use in children across the board. Further research into contactless alternatives should focus on cost-effectiveness, ease-of-use, and widespread availability.
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Affiliation(s)
- Marjolein van der Linden
- Department of Neonatology, Wilhelmina Children's Hospital, University Medical Center Utrecht, Utrecht, The Netherlands
| | - Esther S Veldhoen
- Department of Pediatric Intensive Care, Wilhelmina Children's Hospital, University Medical Center Utrecht, Utrecht University, Utrecht, The Netherlands
- Center of Home Mechanical Ventilation, Wilhelmina Children's Hospital, University Medical Center Utrecht, Utrecht University, Utrecht, The Netherlands
| | - Emad Arasteh
- Department of Neonatology, Wilhelmina Children's Hospital, University Medical Center Utrecht, Utrecht, The Netherlands
- Department of Electrical Engineering (ESAT), STADIUS Center for Dynamical Systems, Signal Processing and Data Analytics, KU Leuven, Leuven, Belgium
| | - Xi Long
- Department of Electrical Engineering, Eindhoven University of Technology, Eindhoven, The Netherlands
| | - Thomas Alderliesten
- Department of Pediatric Intensive Care, Wilhelmina Children's Hospital, University Medical Center Utrecht, Utrecht University, Utrecht, The Netherlands
| | - Robbin de Goederen
- Department of Neonatology, Wilhelmina Children's Hospital, University Medical Center Utrecht, Utrecht, The Netherlands
| | - Jeroen Dudink
- Department of Neonatology, Wilhelmina Children's Hospital, University Medical Center Utrecht, Utrecht, The Netherlands
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Bachir W, Ismael FS, Alaineya NHA. Laser spectroscopic method for remote sensing of respiratory rate. Phys Eng Sci Med 2023; 46:1249-1258. [PMID: 37358781 PMCID: PMC10480269 DOI: 10.1007/s13246-023-01292-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/10/2023] [Accepted: 06/16/2023] [Indexed: 06/27/2023]
Abstract
Noncontact sensing methods for measuring vital signs have recently gained interest, particularly for long-term monitoring. This study introduces a new method for measuring respiratory rate remotely. The proposed method is based on the reflection of a laser beam off a striped card attached to a moving platform simulating chest wall displacements. A wide range of frequencies (n = 35) from 0.06 to 2.2 Hz corresponding to both normal and pathological human respiratory rates were simulated using a moving mechanical platform. Reflected spectra (n = 105) were collected by a spectrometer in a dynamic mode. Fourier analysis was performed to retrieve the breathing frequency. The results show a striking agreement between measurements and reference frequencies. The results also show that low frequencies corresponding to respiratory rates can be detected with high accuracy (uncertainty is well below 5%). A validation test of the measuring method on a human subject demonstrated a great potential for remote respiration rate monitoring of adults and neonates in a clinical environment.
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Affiliation(s)
- Wesam Bachir
- Institute of Metrology and Biomedical Engineering, Faculty of Mechatronics, Warsaw University of Technology, Św. A. Boboli 8 St, 02-525, Warsaw, Poland.
- Biomedical Photonics Laboratory, Higher Institute for Laser Research and Applications, Damascus University, Damascus, Syria.
| | - Fatimah Samie Ismael
- Biomedical Photonics Laboratory, Higher Institute for Laser Research and Applications, Damascus University, Damascus, Syria
| | - Nour Hasan Arry Alaineya
- Biomedical Photonics Laboratory, Higher Institute for Laser Research and Applications, Damascus University, Damascus, Syria
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Boivin V, Shahriari M, Faure G, Mellul S, Tiassou ED, Jouvet P, Noumeir R. Multimodality Video Acquisition System for the Assessment of Vital Distress in Children. SENSORS (BASEL, SWITZERLAND) 2023; 23:s23115293. [PMID: 37300019 DOI: 10.3390/s23115293] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/12/2023] [Revised: 05/23/2023] [Accepted: 05/29/2023] [Indexed: 06/12/2023]
Abstract
In children, vital distress events, particularly respiratory, go unrecognized. To develop a standard model for automated assessment of vital distress in children, we aimed to construct a prospective high-quality video database for critically ill children in a pediatric intensive care unit (PICU) setting. The videos were acquired automatically through a secure web application with an application programming interface (API). The purpose of this article is to describe the data acquisition process from each PICU room to the research electronic database. Using an Azure Kinect DK and a Flir Lepton 3.5 LWIR attached to a Jetson Xavier NX board and the network architecture of our PICU, we have implemented an ongoing high-fidelity prospectively collected video database for research, monitoring, and diagnostic purposes. This infrastructure offers the opportunity to develop algorithms (including computational models) to quantify vital distress in order to evaluate vital distress events. More than 290 RGB, thermographic, and point cloud videos of each 30 s have been recorded in the database. Each recording is linked to the patient's numerical phenotype, i.e., the electronic medical health record and high-resolution medical database of our research center. The ultimate goal is to develop and validate algorithms to detect vital distress in real time, both for inpatient care and outpatient management.
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Affiliation(s)
- Vincent Boivin
- CHU Sainte-Justine Research Centre, Montréal, QC H3T 1C5, Canada
- Department of Electrical Engineering, Ecole de Technologie Supérieure (ETS), Montréal, QC H3C 1K3, Canada
| | - Mana Shahriari
- CHU Sainte-Justine Research Centre, Montréal, QC H3T 1C5, Canada
- Department of Pediatrics, Université de Montréal (UdeM), Montréal, QC H3T 1C5, Canada
| | - Gaspar Faure
- CHU Sainte-Justine Research Centre, Montréal, QC H3T 1C5, Canada
| | - Simon Mellul
- CHU Sainte-Justine Research Centre, Montréal, QC H3T 1C5, Canada
| | | | - Philippe Jouvet
- CHU Sainte-Justine Research Centre, Montréal, QC H3T 1C5, Canada
- Department of Pediatrics, Université de Montréal (UdeM), Montréal, QC H3T 1C5, Canada
| | - Rita Noumeir
- CHU Sainte-Justine Research Centre, Montréal, QC H3T 1C5, Canada
- Department of Electrical Engineering, Ecole de Technologie Supérieure (ETS), Montréal, QC H3C 1K3, Canada
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Shcherbakova M, Noumeir R, Levy M, Bridier A, Lestrade V, Jouvet P. Optical thermography infrastructure to assess thermal distribution in critically ill children. IEEE OPEN JOURNAL OF ENGINEERING IN MEDICINE AND BIOLOGY 2022; 3:1-6. [PMID: 35399791 PMCID: PMC8975240 DOI: 10.1109/ojemb.2021.3136403] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/19/2021] [Revised: 11/07/2021] [Accepted: 12/13/2021] [Indexed: 11/07/2022] Open
Abstract
The temperature distribution at the skin surface could be a useful tool to monitor changes in cardiac output. Goal: The aim of this study was to explore infrared thermography as a method to analyze temperature profiles of critically ill children. Methods: Patients admitted to the pediatric intensive care unit (PICU) were included in this study. An infrared sensor was used to take images in clinical conditions. The infrared core and limb temperatures (θc & θl) were extracted, as well as temperatures along a line drawn between these two regions. Results: The median [interquartile range] θc extracted from the images was 33.88°C [32.74-34.19] and the median θl was 30.21°C [28.89-33.13]. There was a good correlation between the θc and the clinical axillary temperature (rho = 0.39, p-value = 0.016). There was also a good correlation between the θc and θl (rho = 0.66, p-value = 1.2 e−05). Conclusion: Thermography was found to be effective to estimate the body temperature. Correlation with specific clinical conditions needs further study.
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Affiliation(s)
- Monisha Shcherbakova
- Ecole de Technologie Superieure Montreal QC H3C1K3 Canada
- CHU Sainte Justine Mother and Child Hospital of Montreal Montreal QC H3T1C5 Canada
| | - Rita Noumeir
- Ecole de Technologie Superieure Montreal QC H3T1C3 Canada
| | - Michael Levy
- Pediatric Intensive Care Unit of CHU Sainte Justine Mother and Child Hospital of Montreal Montreal QC H3T1C5 Canada
| | - Armelle Bridier
- Pediatric Intensive Care Unit of CHU Sainte Justine Mother and Child Hospital of Montreal Montreal QC H3T1C5 Canada
| | - Victor Lestrade
- Pediatric Intensive Care Unit of CHU Sainte Justine Mother and Child Hospital of Montreal Montreal QC H3T1C5 Canada
| | - Philippe Jouvet
- Pediatric Intensive Care Unit of CHU Sainte Justine Mother and Child Hospital of Montreal Montreal QC H3T1C5 Canada
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Ottaviani V, Veneroni C, Dellaca' RL, Lavizzari A, Mosca F, Zannin E. Contactless Monitoring of Breathing Pattern and Thoracoabdominal Asynchronies in Preterm Infants Using Depth Cameras: A Feasibility Study. IEEE JOURNAL OF TRANSLATIONAL ENGINEERING IN HEALTH AND MEDICINE 2022; 10:4900708. [PMID: 35415022 PMCID: PMC8989160 DOI: 10.1109/jtehm.2022.3159997] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 09/17/2021] [Revised: 01/24/2022] [Accepted: 03/09/2022] [Indexed: 11/24/2022]
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.
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Affiliation(s)
- Valeria Ottaviani
- Department of Electronic, Information and Bioengineering (DEIB), Technologies for Respiration Laboratory—TechRes Lab, Politecnico di Milano University, Milan, Italy
| | - Chiara Veneroni
- Department of Electronic, Information and Bioengineering (DEIB), Technologies for Respiration Laboratory—TechRes Lab, Politecnico di Milano University, Milan, Italy
| | - Raffaele L. Dellaca'
- Department of Electronic, Information and Bioengineering (DEIB), Technologies for Respiration Laboratory—TechRes Lab, Politecnico di Milano University, Milan, Italy
| | - Anna Lavizzari
- NICU, Fondazione IRCCS Ca’ Granda Ospedale Maggiore Policlinico, Milan, Italy
| | - Fabio Mosca
- NICU, Fondazione IRCCS Ca’ Granda Ospedale Maggiore Policlinico, Milan, Italy
| | - Emanuela Zannin
- Department of Electronic, Information and Bioengineering (DEIB), Technologies for Respiration Laboratory—TechRes Lab, Politecnico di Milano University, Milan, Italy
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Le Moigne G, Nazir S, Pateau V, Courtois E, L'Her E. Noninvasive Tidal Volume Measurements, Using a Time-of-Flight Camera, Under High-Flow Nasal Cannula-A Physiological Evaluation, in Healthy Volunteers. Crit Care Med 2021; 50:e61-e70. [PMID: 34259664 DOI: 10.1097/ccm.0000000000005183] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/25/2022]
Abstract
OBJECTIVES The mechanisms of high-flow nasal cannula are still debated but may be mediated by the generation of low positive end-expiratory pressure and a washout of the airway dead space. The aims of this study were to assess the effects of high-flow nasal cannula on tidal volume using a noninvasive method using a time-of-flight camera, under various conditions. DESIGN A physiologic evaluation in healthy volunteers. SETTING An university hospital ICU. SUBJECTS Ten healthy volunteers were included in a physiologic study (CamOpt study, ClinicalTrials.gov identifier: NCT04096183). INTERVENTIONS All volunteers were submitted to 12 different conditions (i.e., gas flow [baseline = 0; 30-60 L/min]; mouth [open/closed]; respiratory rate [baseline; baseline + 10 breaths/min]). Tidal volume measurements were performed every minute, during a 6-minute recording period. In all combinations, reference respiratory rate was measured by using chronometric evaluation, over a 30-second period (RRREF), and by using the time-of-flight camera (RRTOF). MEASUREMENTS AND MAIN RESULTS Tidal volume increased while increasing gas flow whatever the respiratory rate and mouth condition (p < 0.001). Similar results were observed whatever the experimental conditions (p < 0.01), except one (baseline respiratory rate + 10 breaths/min and mouth closed). Tidal volume increased while decreasing respiratory rate (p < 0.001) and mouth closing (p < 0.05). Proportion of tidal volume greater than 10, 15, and 20 mL/kg changed while increasing the flow. RRTOF was in agreement with RRREF (intraclass correlation coefficient, 0.96), with a low mean bias (0.55 breaths/min) and acceptable deviation. CONCLUSIONS Time-of-flight enables to detect tidal volume changes under various conditions of high-flow nasal cannula application. Tidal volume increased significantly while increasing gas flow and mouth closing. Such technique might be useful to monitor the risk of patient self-inflicted lung injury or under assistance.
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Affiliation(s)
- Guillaume Le Moigne
- Département de Médecine d'Urgence, CHRU de La Cavale Blanche, Brest, France. LATIM INSERM UMR 1101, FHU TechSan, Université de Bretagne Occidentale, Brest, France. Médecine Intensive et Réanimation, CHRU de La Cavale Blanche, Brest, France. UGD DRCI, CHRU de La Cavale Blanche, Brest, France
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Lee YC, Syakura A, Khalil MA, Wu CH, Ding YF, Wang CW. A real-time camera-based adaptive breathing monitoring system. Med Biol Eng Comput 2021; 59:1285-1298. [PMID: 34101126 PMCID: PMC8185321 DOI: 10.1007/s11517-021-02371-5] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/16/2020] [Accepted: 04/27/2021] [Indexed: 11/29/2022]
Abstract
Breathing is one of the vital signs used to assess the physical health of a subject. Non-contact-based measurements of both breathing rate and changes in breathing rate help monitor health condition of subjects more flexibly. In this paper, we present an improved real-time camera-based adaptive breathing monitoring system, which includes real time (1) adaptive breathing motion detection, (2) adaptive region of interest detection to eliminate environmental noise, (3) breathing and body movement classification, (4) respiration rate estimation, (5) monitor change in respiration rate to examine overall health of an individual, and (6) online adaptation to lighting. The proposed system does not pose any positional and postural constraint. For evaluation, 30 videos of 15 animals are tested with drugs to simulate various medical conditions and breathing patterns, and the results from the proposed system are compared with the outputs of an existing FDA-approved invasive medical system for patient monitoring. The results show that the proposed method performs significantly correlated RR results to the reference medical device with the correlation coefficient equal to 0.92 and p-value less than 0.001, and more importantly the proposed video-based method is demonstrated to produce alarms 10 to 20 s earlier than the benchmark medical device. Graphical abstract The proposed system flowchart to extract the respiratory pattern from video.
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Affiliation(s)
- Yu-Ching Lee
- Graduate institute of Applied Science and Technology, National Taiwan University of Science and Technology, Taipei City, Taiwan
| | - Abdan Syakura
- Graduate institute of Applied Science and Technology, National Taiwan University of Science and Technology, Taipei City, Taiwan
| | - Muhammad Adil Khalil
- Graduate Institute of Biomedical Engineering, National Taiwan University of Science and Technology, Taipei City, Taiwan
| | - Ching-Ho Wu
- Institute of Veterinary Clinical Sciences, National Taiwan University, Taipei City, Taiwan
| | - Yi-Fang Ding
- Department of Otolaryngology, Wan Fang Hospital, Taipei Medical University, Taipei City, Taiwan.
| | - Ching-Wei Wang
- Graduate institute of Applied Science and Technology, National Taiwan University of Science and Technology, Taipei City, Taiwan. .,Graduate Institute of Biomedical Engineering, National Taiwan University of Science and Technology, Taipei City, Taiwan.
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Automated Non-Contact Respiratory Rate Monitoring of Neonates Based on Synchronous Evaluation of a 3D Time-of-Flight Camera and a Microwave Interferometric Radar Sensor. SENSORS 2021; 21:s21092959. [PMID: 33922563 PMCID: PMC8122919 DOI: 10.3390/s21092959] [Citation(s) in RCA: 9] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 02/25/2021] [Revised: 04/18/2021] [Accepted: 04/19/2021] [Indexed: 11/21/2022]
Abstract
This paper introduces an automatic non-contact monitoring method based on the synchronous evaluation of a 3D time-of-flight (ToF) camera and a microwave interferometric radar sensor for measuring the respiratory rate of neonates. The current monitoring on the Neonatal Intensive Care Unit (NICU) has several issues which can cause pressure marks, skin irritations and eczema. To minimize these risks, a non-contact system made up of a 3D time-of-flight camera and a microwave interferometric radar sensor is presented. The 3D time-of-flight camera delivers 3D point clouds which can be used to calculate the change in distance of the moving chest and from it the respiratory rate. The disadvantage of the ToF camera is that the heartbeat cannot be determined. The microwave interferometric radar sensor determines the change in displacement caused by the respiration and is even capable of measuring the small superimposed movements due to the heartbeat. The radar sensor is very sensitive towards movement artifacts due to, e.g., the baby moving its arms. To allow a robust vital parameter detection the data of both sensors was evaluated synchronously. In this publication, we focus on the first step: determining the respiratory rate. After all processing steps, the respiratory rate determined by the radar sensor was compared to the value received from the 3D time-of-flight camera. The method was validated against our gold standard: a self-developed neonatal simulation system which can simulate different breathing patterns. In this paper, we show that we are the first to determine the respiratory rate by evaluating the data of an interferometric microwave radar sensor and a ToF camera synchronously. Our system delivers very precise breaths per minute (BPM) values within the norm range of 20–60 BPM with a maximum difference of 3 BPM (for the ToF camera itself at 30 BPM in normal mode). Especially in lower respiratory rate regions, i.e., 5 and 10 BPM, the synchronous evaluation is required to compensate the drawbacks of the ToF camera. In the norm range, the ToF camera performs slightly better than the radar sensor.
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Maurya L, Kaur P, Chawla D, Mahapatra P. Non-contact breathing rate monitoring in newborns: A review. Comput Biol Med 2021; 132:104321. [PMID: 33773194 DOI: 10.1016/j.compbiomed.2021.104321] [Citation(s) in RCA: 10] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/11/2021] [Revised: 03/04/2021] [Accepted: 03/04/2021] [Indexed: 02/07/2023]
Abstract
The neonatal period - the first 4 weeks of life - is the most critical time for a child's survival. Breathing rate is a vital indicator of the health condition and requires continuous monitoring in case of sickness or preterm birth. Breathing movements can be counted by contact and non-contact methods. In the case of newborn infants, the non-contact breathing rate monitoring need is high, as a contact-based approach may interfere while providing care and is subject to interference by non-breathing movements. This review article delivers a factual summary, and describes the methods and processing involved in non-contact based breathing rate monitoring. The article also provides the advantages, limitations, and clinical applications of these methods. Additionally, signal processing, feasibility, and future direction of different non-contact neonatal breathing rate monitoring are discussed.
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Affiliation(s)
- Lalit Maurya
- Academy of Scientific and Innovative Research (AcSIR), Ghaziabad, 201002, India; CSIR-Central Scientific Instruments Organisation (CSIR-CSIO), Sector 30-C, Chandigarh, 160030, India.
| | - Pavleen Kaur
- CSIR-Central Scientific Instruments Organisation (CSIR-CSIO), Sector 30-C, Chandigarh, 160030, India; Department of Biomedical Engineering, SRM University Delhi NCR, Sonepat, Haryana, India.
| | - Deepak Chawla
- Department of Neonatology, Government Medical College & Hospital (GMCH), Chandigarh, 160030, India.
| | - Prasant Mahapatra
- Academy of Scientific and Innovative Research (AcSIR), Ghaziabad, 201002, India; CSIR-Central Scientific Instruments Organisation (CSIR-CSIO), Sector 30-C, Chandigarh, 160030, India.
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Rehouma H, Noumeir R, Essouri S, Jouvet P. Advancements in Methods and Camera-Based Sensors for the Quantification of Respiration. SENSORS (BASEL, SWITZERLAND) 2020; 20:E7252. [PMID: 33348827 PMCID: PMC7766256 DOI: 10.3390/s20247252] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 11/07/2020] [Revised: 12/09/2020] [Accepted: 12/15/2020] [Indexed: 01/22/2023]
Abstract
Assessment of respiratory function allows early detection of potential disorders in the respiratory system and provides useful information for medical management. There is a wide range of applications for breathing assessment, from measurement systems in a clinical environment to applications involving athletes. Many studies on pulmonary function testing systems and breath monitoring have been conducted over the past few decades, and their results have the potential to broadly impact clinical practice. However, most of these works require physical contact with the patient to produce accurate and reliable measures of the respiratory function. There is still a significant shortcoming of non-contact measuring systems in their ability to fit into the clinical environment. The purpose of this paper is to provide a review of the current advances and systems in respiratory function assessment, particularly camera-based systems. A classification of the applicable research works is presented according to their techniques and recorded/quantified respiration parameters. In addition, the current solutions are discussed with regards to their direct applicability in different settings, such as clinical or home settings, highlighting their specific strengths and limitations in the different environments.
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Affiliation(s)
- Haythem Rehouma
- École de Technologie Supérieure, Montreal, QC H3T 1C5, Canada;
| | - Rita Noumeir
- École de Technologie Supérieure, Montreal, QC H3T 1C5, Canada;
| | - Sandrine Essouri
- CHU Sainte-Justine, Montreal, QC H3T 1C5, Canada; (S.E.); (P.J.)
| | - Philippe Jouvet
- CHU Sainte-Justine, Montreal, QC H3T 1C5, Canada; (S.E.); (P.J.)
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Nazir S, Pateau V, Bert J, Clement JF, Fayad H, l'Her E, Visvikis D. Surface imaging for real-time patient respiratory function assessment in intensive care. Med Phys 2020; 48:142-155. [PMID: 33118190 DOI: 10.1002/mp.14557] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/27/2020] [Revised: 10/08/2020] [Accepted: 10/20/2020] [Indexed: 11/11/2022] Open
Abstract
PURPOSE Monitoring of physiological parameters is a major concern in Intensive Care Units (ICU) given their role in the assessment of vital organ function. Within this context, one issue is the lack of efficient noncontact techniques for respiratory monitoring. In this paper, we present a novel noncontact solution for real-time respiratory monitoring and function assessment of ICU patients. METHODS The proposed system uses a Time-of-Flight depth sensor to analyze the patient's chest wall morphological changes in order to estimate multiple respiratory function parameters. The automatic detection of the patient's torso is also proposed using a deep neural network model trained on the COCO dataset. The evaluation of the proposed system was performed on a mannequin and on 16 mechanically ventilated patients (a total of 216 recordings) admitted in the ICU of the Brest University Hospital. RESULTS The estimation of respiratory parameters (respiratory rate and tidal volume) showed high correlation with the reference method (r = 0.99; P < 0.001 and r = 0.99; P < 0.001) in the mannequin recordings and (r = 0.95, P < 0.001 and r = 0.90, P < 0.001) for patients. CONCLUSION This study describes and evaluates a novel noncontact monitoring system suitable for continuous monitoring of key respiratory parameters for disease assessment of critically ill patients.
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Affiliation(s)
- Souha Nazir
- INSERM, UMR1101, LaTIM, University of Brest, Brest, 29200, France
| | | | - Julien Bert
- INSERM, UMR1101, LaTIM, University of Brest, Brest, 29200, France
| | | | - Hadi Fayad
- INSERM, UMR1101, LaTIM, University of Brest, Brest, 29200, France.,Hamad Medical Corporation OHS, PET/CT center Doha, Doha, Qatar
| | - Erwan l'Her
- INSERM, UMR1101, LaTIM, University of Brest, Brest, 29200, France.,CHRU, Brest, 29200, France
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Gleichauf J, Niebler C, Koelpin A. Automatic non-contact monitoring of the respiratory rate of neonates using a structured light camera. ANNUAL INTERNATIONAL CONFERENCE OF THE IEEE ENGINEERING IN MEDICINE AND BIOLOGY SOCIETY. IEEE ENGINEERING IN MEDICINE AND BIOLOGY SOCIETY. ANNUAL INTERNATIONAL CONFERENCE 2020; 2020:4118-4121. [PMID: 33018904 DOI: 10.1109/embc44109.2020.9175948] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/09/2022]
Abstract
This paper introduces an automatic non-contact monitoring method for measuring the respiratory rate of neonates using a structured light camera. The current monitoring bears several issues causing pressure marks, skin irritations and eczema. A structured light camera provides distance data. Our non-contact approach detects the thorax area automatically using a plane segmentation and calculates the respiratory rate from the movement of the thorax. Our method was tested and validated using the baby simulator SimBaby by Laerdal. We used different breathing rates corresponding to preterm neonates, mature neonates and babies aged up to nine months as well as two different breathing modes with differing breathing strokes. Furthermore, measurements were taken of two positions: the baby lying on its back and on its stomach.
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Kawaguchi A, Bernier G, Adler A, Emeriaud G, Jouvet PA. Incremental effect of non-invasive oscillating device on chest physiotherapy in critically ill children: a cross-over randomised trial. BMJ Open 2020; 10:e038648. [PMID: 33020101 PMCID: PMC7537431 DOI: 10.1136/bmjopen-2020-038648] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/10/2022] Open
Abstract
INTRODUCTION Chest physiotherapy (CPT) and intrathoracic percussion ventilation have been recognised as to encourage dislodging the secretions; nonetheless, the tolerance to the procedure and its efficiency have not been proven to be sufficient. METHOD AND ANALYSES This study aims to examine the tolerance, feasibility and physiological effects in airway clearance by using a novel extrathoracic non-invasive oscillating transducer device (NIOD) in critically ill children. A two-stage cross-over randomised controlled study in a paediatric intensive care unit in a Canadian Academic Children's Hospital will be applied. Children under 24 months old, for whom CPT is prescribed for airway clearance, will be included. The study consists of two stages; (1) Stage 1 'Frequency Level': we will apply two different frequencies of the NIOD (40 Hz vs 60 Hz) for 12 min each, on each patient 3 hours apart, and (2) Stage 2 'NIOD versus CPT': we will implement NIOD and CPT alternatingly for 3 hours apart. The order of the procedures will be randomly allocated for each case. We will compare the average Δchanges of tidal lung volume measured by a 3D imaging system and regional lung functions using electrical impedance tomography, between the two different frequencies and between the NIOD periods and the CPT periods. We will also examine tolerance by seeing COMFORT Scales and related complications during the procedures. We estimate necessary sample size as 6 for each arm (Total 12 cases) for stage 1 and 48 cases for Stage 2, with power of 0.8 and alpha of 0.05. ETHICS AND DISSEMINATION This study has been approved by the Health Research Ethics Board of University of Montreal, Canada (REB number: 2020-2471). We will disseminate our findings through peer-reviewed publications and conference presentations in paediatric or/and critical care fields. TRIAL REGISTRATION NUMBER ClinicalTrials.gov Registry (NCT03821389).
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Affiliation(s)
- Atsushi Kawaguchi
- Pediatrics, University of Montreal, Montreal, Quebec, Canada
- Pediatrics, University of Ottawa, Children's Hospital Eastern Ontario, Ottawa, Ontario, Canada
| | - Gabrielle Bernier
- Faculty of Medicine, University of Montreal, Montreal, Quebec, Canada
| | - Andy Adler
- Systems and Computer Engineering, Carleton University, Ottawa, Ontario, Canada
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Iozza L, Lázaro J, Cerina L, Silvestri D, Mainardi L, Laguna P, Gil E. Monitoring breathing rate by fusing the physiological impact of respiration on video-photoplethysmogram with head movements. Physiol Meas 2019; 40:094002. [DOI: 10.1088/1361-6579/ab4102] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/27/2022]
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