Relevant bibliographies by topics / Artificial Lungs

Contents

  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers
  6. Reports

Academic literature on the topic 'Artificial Lungs'

Author: Grafiati
Published: 4 June 2021
Last updated: 16 February 2022

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Journal articles on the topic "Artificial Lungs"

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Strueber, Martin. "Artificial Lungs." Thoracic Surgery Clinics 25, no. 1 (February 2015): 107–13. http://dx.doi.org/10.1016/j.thorsurg.2014.09.009.

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Naito, Noritsugu, Keith Cook, Yoshiya Toyoda, and Norihisa Shigemura. "Artificial Lungs for Lung Failure." Journal of the American College of Cardiology 72, no. 14 (October 2018): 1640–52. http://dx.doi.org/10.1016/j.jacc.2018.07.049.

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Syed, Ahad, Sarah Kerdi, and Adnan Qamar. "Bioengineering Progress in Lung Assist Devices." Bioengineering 8, no. 7 (June 28, 2021): 89. http://dx.doi.org/10.3390/bioengineering8070089.

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Artificial lung technology is advancing at a startling rate raising hopes that it would better serve the needs of those requiring respiratory support. Whether to assist the healing of an injured lung, support patients to lung transplantation, or to entirely replace native lung function, safe and effective artificial lungs are sought. After 200 years of bioengineering progress, artificial lungs are closer than ever before to meet this demand which has risen exponentially due to the COVID-19 crisis. In this review, the critical advances in the historical development of artificial lungs are detailed. The current state of affairs regarding extracorporeal membrane oxygenation, intravascular lung assists, pump-less extracorporeal lung assists, total artificial lungs, and microfluidic oxygenators are outlined.
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Cook, K. E. "Compliant artificial lungs." Journal of Biomechanics 39 (January 2006): S255—S256. http://dx.doi.org/10.1016/s0021-9290(06)83972-2.

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Zwischenberger, Joseph B., and Scott K. Alpard. "Artificial lungs: a new inspiration." Perfusion 17, no. 4 (July 2002): 253–68. http://dx.doi.org/10.1191/0267659102pf586oa.

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An estimated 16 million Americans are afflicted with some degree of chronic obstructive pulmonary disease (COPD), accounting for 100,000 deaths per year. The only current treatment for chronic irreversible pulmonary failure is lung transplantation. Since the widespread success of single and double lung transplantation in the early 1990s, demand for donor lungs has steadily outgrown the supply. Unlike dialysis, which functions as a bridge to renal transplantation, or a ventricular assist device (VAD), which serves as a bridge to cardiac transplantation, no suitable bridge to lung transplantation exists. The current methods for supporting patients with lung disease, however, are not adequate or efficient enough to act as a bridge to transplantation. Although occasionally successful as a bridge to transplant, ECMO requires multiple transfusions and is complex, labor-intensive, time-limited, costly, non-ambulatory and prone to infection. Intravenacaval devices, such as the intravascular oxygenator (IVOX) and the intravenous membrane oxygenator (IMO), are surface area limited and currently provide inadequate gas exchange to function as a bridge-to-recovery or transplant. A successful artificial lung could realize a substantial clinical impact as a bridge to lung transplantation, a support device immediately post-lung transplant, and as rescue and//or supplement to mechanical ventilation during the treatment of severe respiratory failure.
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Matheis, Georg. "New technologies for respiratory assist." Perfusion 18, no. 4 (July 2003): 245–51. http://dx.doi.org/10.1191/0267659103pf684oa.

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‘The artificial lung especially has lingered behind progress with artificial hearts and ventricular assist devices, not because the need for lungs has not been recognized, but because we have not had a full understanding of the engineering problems and the unique material requirements until recent years.’1 Brack Hattler, MD PhD The development from the first clinical use of haemo-dialysis over five decades ago to widespread chronic treatment took more than two decades. The histories of other artificial organ technologies, such as artificial hearts, follow similar long development paths. For five decades, due to a lack of technology, artificial lungs have been limited to use with a heart-lung machine for cardiopulmonary bypass (CPB) or extracorporeal membrane oxygenation (ECMO). The advent of pumpless biocompatible artificial lungs will open new treatment options for patients with acute or chronic lung failure.
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Zwischenberger, Joseph B. "Future of Artificial Lungs." ASAIO Journal 50, no. 6 (November 2004): xlix—li. http://dx.doi.org/10.1097/01.mat.0000147957.59788.b8.

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Ota, Kei. "Advances in artificial lungs." Journal of Artificial Organs 13, no. 1 (February 23, 2010): 13–16. http://dx.doi.org/10.1007/s10047-010-0492-1.

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Dierickx, Peter W., Filip De Somer, Dirk S. De Wachter, Guido Van Nooten, and Pascal R. Verdonck. "Hydrodynamic Characteristics of Artificial Lungs." ASAIO Journal 46, no. 5 (September 2000): 532–35. http://dx.doi.org/10.1097/00002480-200009000-00004.

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Dierickx, P., D. De Wachter, F. De Somer, G. Van Nooten, and P. Verdonck. "HYDRODYNAMIC CHARACTERISTICS OF ARTIFICIAL LUNGS." ASAIO Journal 45, no. 2 (March 1999): 145. http://dx.doi.org/10.1097/00002480-199903000-00102.

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Dissertations / Theses on the topic "Artificial Lungs"

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Demarest, Caitlin T. "Prolonging the Useful Lifetime of Artificial Lungs." Research Showcase @ CMU, 2017. http://repository.cmu.edu/dissertations/870.

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Over 26 million Americans suffer from pulmonary disease, resulting in more than 150,000 deaths annually. Lung transplantation remains the only definitive treatment for many patients, but has meager survival rates and only approximately 1,700 of the 2,200 patients added to the lung transplant wait list each year are transplanted. Extracorporeal gas exchangers have been used as an alternative to mechanical ventilation in acute respiratory failure and as a bridge to transplantation in chronic respiratory failure. Current gas exchangers are limited by their high resistance and low biocompatibility that lead to patient complications and device clot formation. Therefore, there exists a dire need for improved devices that can act as destination therapy. To accomplish the goal of destination therapy, this dissertation discusses three studies that were performed to pave the way. First, I examined clot formation and failure patterns of two common clinical devices (Maquet’s CardioHelp (CH) and Quadrox (Qx)) to further our understanding of their limitations with respect to long-term support. Overall, it was demonstrated that the Qx devices fail earlier and more frequently than CH devices and result in a significantly greater reduction in platelet count, and that a four-inlet approach is beneficial. Next, I determined the optimal sweep gas nitric oxide (NO) concentration that minimizes platelet binding and activation while ensuring that blood methemoglobin (metHb) concentrations increase less than 5%. Miniature artificial lungs were attached to rabbits in a pumped veno-venous configuration and run for 4 h with NO added to the sweep gases in concentrations of 0, 100, 250, and 500 ppm (n=8 ea.). 100 ppm significantly reduced the amount of platelet consumption (p < 0.05), reduced platelet activation as measured by soluble p-selectin (p < 0.05), and had negligible increases in metHb and will thus be used in future experiments. Last, I tested the Pulmonary Assist Device (PAD) which was designed for long term use as a bridge to transplantation and destination therapy. Benchtop experiments were performed that confirmed that it meets our design and performance goals. From here, we are equipped to commence with 30-day PAD testing in sheep.
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Razieh, Ali R. "The development of a self-tuning control system for PO←2 regulation in a membrane oxygenator." Thesis, University of Strathclyde, 1989. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.293317.

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Jones, Cameron Christopher. "VALIDATION OF COMPUTATIONAL FLUID DYNAMIC SIMULATIONS OF MEMBRANE ARTIFICIAL LUNGS WITH X-RAY IMAGING." UKnowledge, 2012. http://uknowledge.uky.edu/cbme_etds/2.

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The functional performance of membrane oxygenators is directly related to the perfusion dynamics of blood flow through the fiber bundle. Non-uniform flow and design characteristics can limit gas exchange efficiency and influence susceptibility of thrombus development in the fiber membrane. Computational fluid dynamics (CFD) is a powerful tool for predicting properties of the flow field based on prescribed geometrical domains and boundary conditions. Validation of numerical results in membrane oxygenators has been predominantly based on experimental pressure measurements with little emphasis placed on confirmation of the velocity fields due to opacity of the fiber membrane and limitations of optical velocimetric methods. A novel approach was developed using biplane X-ray digital subtraction angiography to visualize flow through a commercial membrane artificial lung at 1–4.5 L/min. Permeability based on the coefficients of the Ergun equation, α and β, were experimentally determined to be 180 and 2.4, respectively, and the equivalent spherical diameter was shown to be approximately equal to the outer fiber diameter. For all flow rates tested, biplane image projections revealed non-uniform radial perfusion through the annular fiber bundle, yet without flow bias due to the axisymmetric position of the outlet. At 1 L/min, approximately 78.2% of the outward velocity component was in the radial (horizontal) plane verses 92.0% at 4.5 L/min. The CFD studies were unable to predict the non-radial component of the outward perfusion. Two-dimensional velocity fields were generated from the radiographs using a cross-correlation tracking algorithm and compared with analogous image planes from the CFD simulations. Velocities in the non-porous regions differed by an average of 11% versus the experimental values, but simulated velocities in the fiber bundle were on average 44% lower than experimental. A corrective factor reduced the average error differences in the porous medium to 6%. Finally, biplane image pairs were reconstructed to show 3-D transient perfusion through the device. The methods developed from this research provide tools for more accurate assessments of fluid flow through membrane oxygenators. By identifying non-invasive techniques to allow direct analysis of numerical and experimental velocity fields, researchers can better evaluate device performance of new prototype designs.
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Valenga, Marcelo Henrique. "Sistema eletrônico para captação de sons respiratórios adventícios em animais submetidos à ventilação mecânica." Universidade Tecnológica Federal do Paraná, 2009. http://repositorio.utfpr.edu.br/jspui/handle/1/915.

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Nesta dissertação, apresenta-se o projeto e a implementação de um instrumento portátil para captação dos sons respiratórios adventícios de forma não invasiva, a partir das vias aéreas, em animais submetidos a ventilação mecânica e com lavagem previa com solução salina. Descrevem-se os ensaios para avaliação da resposta em frequência e sensibilidade do microfone de eletreto que foi fixado nos tubos de um ventilador mecânico de uma Unidade de Terapia Intensiva – UTI, o comportamento da propagação dos sons nos tubos do aparelho de ventilação mecânica e as características dos circuitos eletrônicos projetados para realizar a adequação e digitalização dos sinais sonoros captados pelos microfones e transferidos para um software de gravação instalado em um computador pessoal. Os testes do sistema eletrônico de captação dos sons foram realizados em três porcos submetidos a ventilação mecânica e com monitoramento em tempo real da quantidade de ar nos pulmões através de um tomógrafo de impedância elétrica. Como resultado das gravações, foi possível identificar ruídos de crepitação, induzidos nos animais através de manobras ventilatórias. Conclui-se que o circuito desenvolvido e a fixação do microfone nos tubos possibilitam a captação dos ruídos de crepitação em animais submetidos a ventilação mecânica, evidenciando a boa propagação dos sons ao longo das vias aéreas do sistema respiratório. Discute-se também a possibilidade de utilizar esse sistema em conjunto com o sistema de tomografia por impedância elétrica para identificar a duração e a extensão das alterações no recrutamento pulmonar durante a ventilação mecânica.
This essay presents the project of a portable equipment to capture adventitious respiratory sounds, inside the airways, in animals submitted at mechanical ventilation. It is described the tests for assessment of frequency response and sensitivity of the microphone that was fixed in the tubes of a mechanical ventilator, the behavior of sound propagation in tubes of the system and the characteristics of electronic circuits designed to acquire sound signals by microphones and transferred them to a recording software installed on a personal computer. Tests with the electronic system were performed in three pigs submitted to mechanical ventilation and monitoring in real time the amount of air into the lungs through electrical impedance tomography. Through the recorded sound, it was possible to identify crackles induced in animals by ventilator maneuvers. It was possible to conclude that the developed circuit and setting the microphone in the tube allows to capture crackle sounds on animals with mechanical ventilation, showing a good sound propagation along the airways of the respiratory system. It is also discussed the possibility of using this system with the Electric Impedance Tomography - EIT - to identify the duration and extent of changes in alveolar recruitment during pulmonary ventilation.
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Sales, Raquel Pinto. "Acute Respiratory Distress Syndrome (ARDS) is an inflammatory disease characterized by pulmonary edema, stiff lungs and hypoxemia." Universidade Federal do CearÃ, 2014. http://www.teses.ufc.br/tde_busca/arquivo.php?codArquivo=12672.

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Acute Respiratory Distress Syndrome (ARDS) is an inflammatory disease characterized by pulmonary edema, stiff lungs and hypoxemia. Patients with ARDS are more susceptible to VILI (ventilator induced lung injury). Under mechanical ventilation, lung stress and strain are the main determinants of VILI and in patients with muscle effort patient-ventilator asynchrony may enhance this phenomenon. Ventilation modes PCV and VCV with auto-flow can minimize patient-ventilator asynchrony, but then can liberate the offer of flow and tidal volume, compromising the protective ventilatory strategy in ARDS. This study aimed to evaluate the influence of muscle effort and patient-ventilator asynchrony on pulmonary stress and strain in a mechanic lung model of acute respiratory distress syndrome. An experimental bench study was performed, using a lung simulator, ASL 5000TM, in which was configured a lung model with restrictive respiratory mechanics with complacency of 25ml/cmH2O and resistance of 10 cmH2O/L/sec. Muscle effort was adjusted in three situations: no muscular effort (Pmus = 0), with inspiratory muscle effort (Pmus = -5 cmH2O) and inspiratory and expiratory effort (Pmus = -5/+5 cmH2O), all with breathe rate (b) of 20 bpm. Five ventilators were connected to the simulator through and endotracheal tube No 8.0 mm and adjusted on VCV, VCV with Auto-flowTM (in the ventilator in which it was available) and PCV modes, all with tidal volume (VT): 420 ml, PEEP: 10 cmH2O and breath rate set in two situations: b = 15 bpm (lower than b of the respiratory muscle effort) and b = 25 bpm (higher than b of the respiratory muscle effort). Variables analyzed were: maximum VT, alveolar pressure at the end of inspiration, effective PEEP, driving pressure, transpulmonary pressure at the end of inspiration and expiration, average transpulmonary pressure, inspiratory peak flow and analysis of mechanic curves. In the studied lung model the b of the ventilator adjusted higher of the b of the patient and not the muscle effort was the main determinant for the development of patient-ventilator asynchrony, causing large variations of the VT and pulmonary pressures, intensifying the lung stress and strain. The ventilatory modes had similar behavior, although VCV Auto-flowTM and PCV have presented slightly higher values of VT and pulmonary pressures. Thus it is concluded that the proper adjustment of the programed breath rate in the assisted/controlled modes can minimize patient-ventilator asynchrony, reducing lung stress and strain.
A SÃndrome da AngÃstia RespiratÃria Aguda (SARA) à uma doenÃa inflamatÃria caracterizada por edema pulmonar, pulmÃes rÃgidos e hipoxemia. Pacientes com SARA estÃo mais suscetÃveis à VILI (ventilator induced lung injury). Sob ventilaÃÃo mecÃnica, o stress e o strain pulmonares sÃo os principais determinantes da VILI e nos pacientes com esforÃo muscular a assincronia paciente-ventilador pode potencializar este fenÃmeno. Os modos ventilatÃrios PCV e VCV com AutoFlow podem minimizar a assincronia paciente-ventilador, mas por outro lado podem liberar a oferta de fluxo e volume corrente, comprometendo a estratÃgia ventilatÃria protetora na SARA. Objetivou-se avaliar as influÃncias do esforÃo muscular e da assincronia paciente-ventilador sobre o âstrainâ e o âstressâ pulmonares em modelo pulmonar mecÃnico de sÃndrome da angÃstia respiratÃria aguda. Foi realizado um estudo experimental de bancada, utilizando um simulador de pulmÃo, ASL 5000 no qual foi configurado um modelo pulmonar com mecÃnica respiratÃria restritiva, com complacÃncia de 25ml/cmH2O e resistÃncia de 10 cmH2O/L/sec. O esforÃo muscular foi ajustado em trÃs situaÃÃes: sem esforÃo muscular (Pmus=0), com esforÃo muscular inspiratÃrio (Pmus= -5cmH2O) e esforÃo inspiratÃrio e expiratÃrio (Pmus= -5/+5 cmH2O), todos com frequÃncia respiratÃria (f) de 20rpm. Ao simulador foram conectados cinco ventiladores atravÃs de um tubo orotraqueal n 8,0 mm e ajustados nos modos VCV, VCV com sistema AutoFlow (no ventilador que tinha o sistema disponÃvel) e PCV, todos com volume corrente (VC): 420 ml, PEEP: 10 cmH2O e frequÃncia respiratÃria programada em duas situaÃÃes: f=15rpm (< que a f de esforÃo muscular respiratÃrio) e f=25rpm (> que a f de esforÃo muscular respiratÃrio). As variÃveis analisadas foram: VC mÃximo, a pressÃo alveolar no final da inspiraÃÃo, PEEP efetiva, driving pressure, pressÃo transpulmonar no final da inspiraÃÃo e expiraÃÃo, pressÃo transpulmonar mÃdia, pico de fluxo inspiratÃrio e anÃlise das curvas de mecÃnica. No modelo pulmonar estudado a f do ventilador pulmonar ajustada acima da f do paciente e nÃo o esforÃo muscular o principal determinante para o desenvolvimento de assincronia paciente ventilador, causando grandes variaÃÃes de VC e pressÃes pulmonares, o que intensificou o stress e strain pulmonares. Os modos ventilatÃrios tiveram comportamento semelhante, embora os modos VCV AutoFlow e PCV tenham apresentado valores discretamente maiores de VC e pressÃes pulmonares. Desta forma conclui-se que o ajuste adequado da frequÃncia programada nos modos assistido/controlado podem pode minimizar a assincronia paciente ventilador reduzindo o stress e strain pulmonares. Palavras-
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Desai, Gargi Sharad. "Deep Learning for Classification of COVID-19 Pneumonia, Bacterial Pneumonia, Viral Pneumonia and Normal Lungs on CT Images." University of Cincinnati / OhioLINK, 2021. http://rave.ohiolink.edu/etdc/view?acc_num=ucin1627662447914953.

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Daniš, Václav. "Podpora ventilace u laboratorních zvířat." Master's thesis, Vysoké učení technické v Brně. Fakulta elektrotechniky a komunikačních technologií, 2016. http://www.nusl.cz/ntk/nusl-240967.

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mechanical ventilation an inseparable part of almost all surgery, where is anesthesia used. The introductory chapters of this thesis are focus on a teoretical familiarization with the complex issue with artificial lung ventilation. In additional to the history of artificial lung ventilation, chapters included familiarization with anatomy and physiology of lungs, associated with this defined volume of lungs and itself pulmonary ventilation. In the practical part I deal with design of ventilator for used it on laboratory animals.
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Poslad, S. J. "Clinical evaluation of artificial lung performance." Thesis, University of Newcastle Upon Tyne, 1987. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.378853.

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Anthony, Denis. "The use of artificial neural networks in classifying lung scintigrams." Thesis, University of Warwick, 1991. http://wrap.warwick.ac.uk/59178/.

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An introduction to nuclear medical imaging and artificial neural networks (ANNs) is first given. Lung scintigrams are classified using ANNs in this study. Initial experiments using raw data are first reported. These networks did not produce suitable outputs, and a data compression method was next employed to present an orthogonal data input set containing the largest amount of information possible. This gave some encouraging results, but was neither sensitive nor accurate enough for clinical use. A set of experiments was performed to give local information on small windows of scintigram images. By this method areas of abnormality could be sent into a subsequent classification network to diagnose the cause of the defect. This automatic method of detecting potential defects did not work, though the networks explored were found to act as smoothing filters and edge detectors. Network design was investigated using genetic algorithms (GAs). The networks evolved had low connectivity but reduced error and faster convergence than fully connected networks. Subsequent simulations showed that randomly partially connected networks performed as well as GA designed ones. Dynamic parameter tuning was explored in an attempt to produce faster convergence, but the previous good results of other workers could not be replicated. Classification of scintigrams using manually delineated regions of interest was explored as inputs to ANNs, both in raw state and as principal components (PCs). Neither representation was shown to be effective on test data.
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Aydin, Murat. "Aerosolisation and in-vitro deposition of an artificial lung surfactant." Thesis, University of Bath, 1999. https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.341146.

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Books on the topic "Artificial Lungs"

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1942-, Lloyd Margaret A., and Friedman Paul A, eds. Cardiac pacing and defibrillation: A clinical approach. Armonk, NY: Futura Pub. Co., 2000.

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A, Friedman Paul, ed. Cardiac pacing and defibrillation: A clinical approach. 2nd ed. Chichester: John Wiley & Sons, 2008.

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Anthony, Denis. The use of artificial neural networks in classifying Lung scintigrams. [s.l.]: typescript, 1991.

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R, Hogness John, VanAntwerp Malin, and National Heart, Lung, and Blood Institute., eds. The artificial heart: Prototypes, policies, and patients. Washington, D.C: National Academy Press, 1991.

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National Heart, Lung, and Blood Institute. Division of Lung Diseases and National Heart, Lung, and Blood Institute. Office of Prevention, Education, and Control, eds. Bronchopulmonary dysplasia. [Bethesda, Md.]: Division of Lung Diseases and Office of Prevention, Education, and Control, National Institutes of Health, National Heart, Lung, and Blood Institute, 1998.

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J, Marini John, and Slutsky Arthur S. 1948-, eds. Physiological basis of ventilatory support. New York: Marcel Dekker, 1998.

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Lei, Yuan. Lung Ventilation: Natural and Mechanical. Oxford University Press, 2017. http://dx.doi.org/10.1093/med/9780198784975.003.0003.

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‘Lung Ventilation: Natural and Mechanical’ describes the processes of respiration and lung ventilation, focusing on those issues related directly to mechanical ventilation. The chapter starts by discussing the anatomy and physiology of respiration, and the involvement of the lungs and the entire respiratory system. It continues by introducing the three operating principles of mechanical ventilation. It then narrows its focus to intermittent positive pressure ventilation (IPPV), the operating principle of most modern critical care ventilators, explaining the pneumatic process of IPPV. The chapter ends by comparing natural and mechanical/artificial lung ventilation.
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Vaslef, Steven N., and Robert W. Anderson. The Artificial Lung. Landes Bioscience, 2002.

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Ventilator-Induced Lung Injury (Lung Biology in Health and Disease). Informa Healthcare, 2006.

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Didier, Dreyfuss, Saumon Georges, and Hubmayr Rolf, eds. Ventilator-induced lung injury. New York: Taylor & Francis, 2006.

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Book chapters on the topic "Artificial Lungs"

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Watkins, Claire A., and Bartley P. Griffith. "Artificial Lungs." In Textbook of Organ Transplantation, 568–75. Oxford, UK: John Wiley & Sons, Ltd, 2014. http://dx.doi.org/10.1002/9781118873434.ch50.

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Wiese, Frank. "Membranes for Artificial Lungs." In Membranes for the Life Sciences, 49–68. Weinheim, Germany: Wiley-VCH Verlag GmbH & Co. KGaA, 2010. http://dx.doi.org/10.1002/9783527631360.ch2.

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Annesini, Maria Cristina, Luigi Marrelli, Vincenzo Piemonte, and Luca Turchetti. "Blood Oxygenators and Artificial Lungs." In Artificial Organ Engineering, 117–61. London: Springer London, 2016. http://dx.doi.org/10.1007/978-1-4471-6443-2_6.

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Baker, David J. "The Structure of the Airways and Lungs." In Artificial Ventilation, 25–39. Cham: Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-32501-9_2.

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Baker, David J. "The Structure of the Airways and Lungs." In Artificial Ventilation, 27–42. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-55408-8_2.

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Baker, David J. "How the Lungs Work: Mechanics and Gas Exchange with the." In Artificial Ventilation, 43–60. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-55408-8_3.

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Baker, David J. "How the Lungs Work: Mechanics and Gas Exchange with the Blood." In Artificial Ventilation, 41–58. Cham: Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-32501-9_3.

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Grzywalski, Tomasz, Riccardo Belluzzo, Mateusz Piecuch, Marcin Szajek, Anna Bręborowicz, Anna Pastusiak, Honorata Hafke-Dys, and Jędrzej Kociński. "Fully Interactive Lungs Auscultation with AI Enabled Digital Stethoscope." In Artificial Intelligence in Medicine, 31–35. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-21642-9_5.

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Zwischenberger, Brittany A., Lindsey A. Clemson, James E. Lynch, and Joseph B. Zwischenberger. "ECMO to Artificial Lungs: Advances in Long-Term Pulmonary Support." In On Bypass, 251–77. Totowa, NJ: Humana Press, 2008. http://dx.doi.org/10.1007/978-1-59745-305-9_12.

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Birkenmaier, Clemens, and Lars Krenkel. "Convolutional Neural Networks for Approximation of Blood Flow in Artificial Lungs." In Notes on Numerical Fluid Mechanics and Multidisciplinary Design, 451–60. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-79561-0_43.

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Conference papers on the topic "Artificial Lungs"

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Pellet, Mathieu, Pierre Melchior, Youssef Abdelmoumen, and Alain Oustaloup. "Fractional Thermal Model of the Lungs Using Havriliak-Negami Function." In ASME 2011 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. ASMEDC, 2011. http://dx.doi.org/10.1115/detc2011-48095.

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This paper is about fractional system identification of a thermal model of the lungs. Usually, during open-heart surgery, an extracorporeal circulation (ECC) is carried out on the patient. In order to plug the artificial heart/lung machine on the blood stream, the lungs are disconnected from the circulatory system. This may results in postoperative respiratory complications. A method to protect the lungs has been developed by surgeon and anesthetist. It is called: bronchial hypothermia. The aim is to cool the organ in order to slow down its deterioration. Unfortunately the thermal properties of the lungs are not well-known yet. Mathematical models are useful and needed in order to improve the knowledge of these organs. As proved by several previous works, fractional models are especially appropriate to model thermal systems (model compacity, accuracy) and the dynamic of fractal systems. Thus, fractional models of the lungs have been determined using time domain system identification with the Havriliak-Negami function. A comparison with integer order models was also carried out. The aim of this paper is to present the results of this study.
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Grzywalski, Tomasz, Riccardo Belluzzo, Szymon Drgas, Agnieszka Cwalińska, and Honorata Hafke-Dys. "Interactive Lungs Auscultation with Reinforcement Learning Agent." In 11th International Conference on Agents and Artificial Intelligence. SCITEPRESS - Science and Technology Publications, 2019. http://dx.doi.org/10.5220/0007573608240832.

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Walter, Marian, Stephan Eisenbrand, Rüdger Kopp, and Steffen Leonhardt. "Hardware-in-the-loop test bench for artificial lungs." In XIV RUSSIAN-GERMANY CONFERENCE ON BIOMEDICAL ENGINEERING (RGC-2019). AIP Publishing, 2019. http://dx.doi.org/10.1063/1.5122003.

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Singru, Pravin, Bhargav Mistry, Rachna Shetty, and Satish Deopujari. "Design of MEMS Based Piezo-Resistive Sensor for Measuring Pressure in Endo-Tracheal Tube." In ASME 2015 International Mechanical Engineering Congress and Exposition. American Society of Mechanical Engineers, 2015. http://dx.doi.org/10.1115/imece2015-50838.

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Mechanical ventilation is the process of providing artificial breathing support to a patient. More than half of critically ill patients require mechanical ventilation[1]. Though mechanical ventilation increases time for recuperation, it is known to have given rise to complications arising from over-distention of lungs leading to ventilator associated lung injury (VALI) and ventilator induced lung injury (VILI). This paper aims to develop a sensor to identify breathing efforts initiated by the patient and give back responses to the ventilator to regulate ventilation modes and tidal volumes delivered by the ventilator. This will significantly aid in reducing asynchrony between the patient efforts and the ventilator input, thus preventing lung injury. Towards this end, we have simulated and studied the effect of different kinds of dynamic loading and diaphragm membrane thickness of the sensor on its sensitivity on a basic design.
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Fontalvo, Lizeth Sofia, Juan David Jinete Noriega, and Marcelo Herrera Martinez. "Human biologic systems (lungs) modelled with electroacoustic tools in a mathemathical simulation software." In 2014 XIX Symposium on Image, Signal Processing and Artificial Vision (STSIVA). IEEE, 2014. http://dx.doi.org/10.1109/stsiva.2014.7010163.

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Takaomi Matuki, Tsuyoshi Kudo, Tadashi Kondo, and Junji Ueno. "Three dimensional medical images of the lungs and brain recognized by artificial neural networks." In SICE Annual Conference 2007. IEEE, 2007. http://dx.doi.org/10.1109/sice.2007.4421152.

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Anifah, Lilik, Haryanto, Rina Harimurti, Zaimah Permatasari, Puput Wanarti Rusimamto, and Adam Ridiantho Muhamad. "Cancer lungs detection on CT scan image using artificial neural network backpropagation based gray level coocurrence matrices feature." In 2017 International Conference on Advanced Computer Science and Information Systems (ICACSIS). IEEE, 2017. http://dx.doi.org/10.1109/icacsis.2017.8355054.

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Fireman, E. M., A. Alrhman, D. Rosengarten, and M. R. Kramer. "Quantitation of Silica in Lungs of Transplanted Patients Due to Artificial Stone-Induced Silicosis; Correlation to Occupational, Clinical and Functional Parameters." In American Thoracic Society 2019 International Conference, May 17-22, 2019 - Dallas, TX. American Thoracic Society, 2019. http://dx.doi.org/10.1164/ajrccm-conference.2019.199.1_meetingabstracts.a1849.

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Kandlikar, Satish G., and Mark E. Steinke. "Examples of Microchannel Mass Transfer Processes in Biological Systems." In ASME 2003 1st International Conference on Microchannels and Minichannels. ASMEDC, 2003. http://dx.doi.org/10.1115/icmm2003-1125.

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Heat and mass transfer processes become highly efficient as the channel hydraulic diameter is reduced in size. Biological systems, such as human body, rely on the extremely efficient transport processes occurring at microscale in the functioning of its vital organs. In this paper, the transfer processes in lungs and kidneys will be reviewed. Although the flow in the microchannels present in these organs is laminar, it yields very high mass transfer coefficients due to the coupling of small channel diameters. Furthermore, the molecular transport mechanisms occurring across the membranes at nanoscales through diffusion controlled processes also become extremely important. Understanding these transport processes will enable us to develop more efficient artificial organs and processes that closely mimic the performance of the natural systems. These ideas can be extended to other microscale system designs in different technologies, such as IC cooling and MEMS micro fuel cells.
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Abdullah, Muhammed Üsame, Ahmet Alkan, and Hanadi Abdullah Omaish. "Detection of Covid 19 from the Lungs X-ray Images by Using the Deep Learning Techniques." In International Students Science Congress. Izmir International Guest Student Association, 2021. http://dx.doi.org/10.52460/issc.2021.028.

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The corona epidemic spreads frighteningly and rapidly in all countries of the world, forcing humanity to an abnormal life. Failure to fully control the epidemic and to find adequate and effective vaccines endangers human life. Fighting against the epidemic becomes important, as all these measures could not be taken in the near future. For this reason, it is important to detect whether the person caught the virus expressed in thousands of people is covid or not and to take the necessary measures. For this purpose, an artificial intelligence-based study has been proposed that will speed up the diagnosis of the pandemic by saving labor and expense. In the study, X-Ray images were processed with the most up-to-date deep image processing techniques, and an objective decision support system was created, independent of the doctor's expertise. The proposed system can classify x-ray images as Normal, Covid -19 and Viral Pneumonia using pre-trained deep learning networks (AlexNet, GoogleNet, ResNet8 and ResNet50). The overall accuracies of the networks (AlexNet, GoogleNet, ResNet8 and ResNet50) were 95.7%, 94.5%, 95.4%, 97.4% respectively. It is easy to diagnose in the advanced stages of the disease. As with most diseases, early diagnosis is important in covid-19. With the proposed system based on deep learning, an especially useful tool has been created in combating the pandemic by determining the disease at an early stage. The proposed system can also be used in areas with shortage of health personnel such as rural and remote areas.
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Reports on the topic "Artificial Lungs"

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Nair, Shyam Kunjuraman. PULMO V 2.0: MINIATURIZED ARTIFICIAL, CONFIGURABLE HUMAN LUNG SYSTEM OF SYSTEMS FOR ACCELERATED TOXICOLOGICAL STUDIES. Office of Scientific and Technical Information (OSTI), August 2019. http://dx.doi.org/10.2172/1557179.

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