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      Estimating Respiratory Rate in Post-Anesthesia Care Unit Patients Using Infrared Thermography: An Observational Study

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          Abstract

          The post-anesthesia care unit (PACU) is the central hub for recovery after surgery, especially when the surgery is performed under general anesthesia. Aside from clinical aspects, respiratory impairment is one of the major causes of morbidity and affected recovery in the PACU and should therefore be monitored. In previous studies, infrared thermography was applied to assess the breathing rate (BR) of healthy volunteers. Here, the transferability of published methods for postoperative patients in the PACU was examined. Video recordings of 28 patients were acquired using a long-wave infrared camera, and analyzed offline. For validation purposes, BRs derived from body surface electrocardiography were measured simultaneously. In general, a close agreement between the two techniques (r = 0.607, p = 0.002 upon arrival, and r = 0.849, p < 0.001 upon discharge from the PACU) was obtained. In conclusion, the algorithm was demonstrated to be feasible and reliable under these challenging conditions.

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          Most cited references29

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          Classification of factors influencing the use of infrared thermography in humans: A review

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            Respiration rate monitoring methods: a review.

            Respiration rate is an important indicator of a person's health, and thus it is monitored when performing clinical evaluations. There are different approaches for respiration monitoring, but generally they can be classed as contact or noncontact. For contact methods, the sensing device (or part of the instrument containing it) is attached to the subject's body. For noncontact approaches the monitoring is performed by an instrument that does not make any contact with the subject. In this article a review of respiration monitoring approaches (both contact and noncontact) is provided. Concerns related to the patient's recording comfort, recording hygiene, and the accuracy of respiration rate monitoring have resulted in the development of a number of noncontact respiration monitoring approaches. A description of thermal imaging based and vision based noncontact respiration monitoring approaches we are currently developing is provided. Copyright © 2011 Wiley-Liss, Inc.
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              Respiratory rate: the neglected vital sign.

              The level of documentation of vital signs in many hospitals is extremely poor, and respiratory rate, in particular, is often not recorded. There is substantial evidence that an abnormal respiratory rate is a predictor of potentially serious clinical events. Nurses and doctors need to be more aware of the importance of an abnormal respiratory rate as a marker of serious illness. Hospital systems that encourage appropriate responses to an elevated respiratory rate and other abnormal vital signs can be rapidly implemented. Such systems help to raise and sustain awareness of the importance of vital signs.
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                Author and article information

                Journal
                Sensors (Basel)
                Sensors (Basel)
                sensors
                Sensors (Basel, Switzerland)
                MDPI
                1424-8220
                18 May 2018
                May 2018
                : 18
                : 5
                : 1618
                Affiliations
                [1 ]Department of Anesthesiology, Medical Faculty, RWTH Aachen University, 52074 Aachen, Germany; rrossaint@ 123456ukaachen.de (R.R.); mczaplik@ 123456ukaachen.de (M.C.)
                [2 ]Philips Chair for Medical Information Technology, Helmholtz Institute for Biomedical Engineering, RWTH Aachen University, 52074 Aachen, Germany; pereira@ 123456hia.rwth-aachen.de (C.B.P.); leonhardt@ 123456hia.rwth-aachen.de (S.L.)
                Author notes
                [* ]Correspondence: nhochhausen@ 123456ukaachen.de ; Tel.: +49-241-8088179
                Author information
                https://orcid.org/0000-0003-3368-1992
                https://orcid.org/0000-0002-6898-6887
                https://orcid.org/0000-0002-7118-7728
                Article
                sensors-18-01618
                10.3390/s18051618
                5982522
                29783683
                51e7a309-1f29-4199-8f4b-d5c903f55f8e
                © 2018 by the authors.

                Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license ( http://creativecommons.org/licenses/by/4.0/).

                History
                : 29 March 2018
                : 14 May 2018
                Categories
                Article

                Biomedical engineering
                infrared thermography,breathing rate detection,long-wave infrared
                Biomedical engineering
                infrared thermography, breathing rate detection, long-wave infrared

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