Academic literature on the topic 'Artificial respiration'

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Journal articles on the topic "Artificial respiration"

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Bause, George S. "Fries Apparatus for Artificial Respiration." Anesthesiology 110, no. 4 (2009): 921. http://dx.doi.org/10.1097/01.anes.0000348445.48142.25.

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Fahy, T. A. "Pretended paralysis requiring artificial respiration." BMJ 294, no. 6580 (1987): 1161. http://dx.doi.org/10.1136/bmj.294.6580.1161-b.

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VESALIUS, ANDREAS. "Artificial respiration on a sow." Pediatric Anesthesia 6, no. 4 (1996): 276. http://dx.doi.org/10.1111/j.1460-9592.1996.tb00450.x.

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Baskett, Thomas F. "Silvester's technique of artificial respiration." Resuscitation 74, no. 1 (2007): 8–10. http://dx.doi.org/10.1016/j.resuscitation.2007.01.008.

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Featherstone, P. J., and C. M. Ball. "The Rocking Method of Artificial Respiration." Anaesthesia and Intensive Care 44, no. 4 (2016): 435–37. http://dx.doi.org/10.1177/0310057x1604400419.

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Baskett, Thomas F. "Eve's rocking method of artificial respiration." Resuscitation 65, no. 3 (2005): 245–47. http://dx.doi.org/10.1016/j.resuscitation.2005.02.007.

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Op de Coul, A. A. W., G. A. M. Verheul, A. C. M. Leyten, R. L. L. A. Schellens, and J. L. J. M. Teepen. "Critical illness polyneuromyopathy after artificial respiration." Clinical Neurology and Neurosurgery 93, no. 1 (1991): 27–33. http://dx.doi.org/10.1016/0303-8467(91)90005-a.

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SALAM, ABYANUDDIN, NUR WISMA NUGRAHA, and WILDAN ALFARIDHANI. "Kendali Aliran dan Tekanan Adaptif dengan Metode Artificial Neural Network pada Alat Terapi Oksigen." ELKOMIKA: Jurnal Teknik Energi Elektrik, Teknik Telekomunikasi, & Teknik Elektronika 12, no. 1 (2024): 133. http://dx.doi.org/10.26760/elkomika.v12i1.133.

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ABSTRAKPenelitian ini bertujuan untuk merancang prototype pengendalian aliran dan tekanan adaptif pada alat terapi oksigen. Sensor yang digunakan yaitu sensor MAX30100 untuk membaca saturasi oksigen dan sensor MLX90614 sebagi sensor yang dapat menghitung Respiration Rate atau laju napas. Metode yang digunakan yaitu Artificial Neural Network yang diimplentasikan pada Raspberry Pi. Sistem akan bekerja dengan memprediksi nilai laju aliran dan tekanan oksigen yang diperlukan pasien berdasarkan nilai Respiration Rate (RR). Artificial Neural Network (ANN) dapat diimplmentasikan pada rancangan alat t
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Onuki, Takuya, Sho Ueda, Shinichi Otsu, et al. "Thymectomy during Myasthenic Crisis under Artificial Respiration." Annals of Thoracic and Cardiovascular Surgery 25, no. 4 (2018): 215–18. http://dx.doi.org/10.5761/atcs.cr.17-00176.

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Sykes, A. H. "Edward Schafer (1850–1935) and artificial respiration." Journal of Medical Biography 14, no. 3 (2006): 155–62. http://dx.doi.org/10.1258/j.jmb.2006.05-86.

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Dissertations / Theses on the topic "Artificial respiration"

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Park, Hyesung Ph D. Massachusetts Institute of Technology. "Fabrication of microfluidic devices for artificial respiration." Thesis, Massachusetts Institute of Technology, 2007. http://hdl.handle.net/1721.1/40370.

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Thesis (S.M.)--Massachusetts Institute of Technology, Dept. of Mechanical Engineering, 2007.<br>Includes bibliographical references (p. 101-108).<br>We are developing elastomeric polydimethylsiloxane (PDMS) microfluidic devices incorporated with photoactive thin films to create an implantable artificial respiration platform. Whereas state-of-the-art respiration support machines deliver oxygen gas directly to the blood via external macroscale devices, our technique utilizes a biomimetic photocatalytic process to generate energy from light and thus produce dissolved oxygen from water which is al
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Soodt, Thomas [Verfasser]. "Development of Protective Artificial Respiration Strategies / Thomas Soodt." Aachen : Shaker, 2013. http://d-nb.info/1050343158/34.

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Wan, Yuen-ki, and 尹婉琦. "Development and evaluation of a sedation protocol of weaning off the mechanical ventilation." Thesis, The University of Hong Kong (Pokfulam, Hong Kong), 2011. http://hub.hku.hk/bib/B46583063.

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Ho, Pui-yee, and 何佩兒. "Continuous lateral rotation therapy in preventing pulmonary complications in mechanically ventilated patients: an evidence-based guideline." Thesis, The University of Hong Kong (Pokfulam, Hong Kong), 2012. http://hub.hku.hk/bib/B48335356.

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Immobility is one of the factors associated with the accumulation of respiratory secretion in mechanically ventilated patients. Placing patients in a semi-recumbent position between 30° and 45° and frequent manual turning in every two hours are the standard ventilator nursing care practice adopted worldwide. However, the prevalence of pulmonary complications remains high. The use of continuous lateral rotation therapy (CLRT) to improve drainage of secretion within the lung and the lower airways was proposed and has been investigated in numerous studies. The purposes of this dissertation are
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Hui, Chi-hoi, and 許志海. "Nurse-led non-invasive mechanical ventilation guideline for acute pulmonary oedema patients in acute medical wards." Thesis, The University of Hong Kong (Pokfulam, Hong Kong), 2011. http://hub.hku.hk/bib/B4658190X.

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鄧兆庭 and Siu-ting Alvin Tang. "Implementation and evaluation of evidence-based practice guidelines for open endotracheal suctioning in mechanically-ventilated adult patients." Thesis, The University of Hong Kong (Pokfulam, Hong Kong), 2013. http://hdl.handle.net/10722/193027.

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Endotracheal suctioning is a procedure performed on a daily basis in hospitals, and is mostly take place in intensive care units (ICUs). (Annapoorna, 2005; Day et al, 2009). It helps removing sputum or secretion out from patients’ trachea. For patients who are under mechanical ventilation, this procedure is vital to maintain their airway patency when they are intubated with endotracheal tube or tracheostomized (Finucane & Santora, 2003). However, the procedure has its own risk and complications such as hypoxaemia, atelectasis, cardiovascular instability and more (Thomson, 2000). There are in g
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Van, Der Touw Thomas. "Cardiorespiratory effects of manual tidal expiratory chest wall compression during mechanical ventilation and pulmonary hyperinflation." Thesis, The University of Sydney, 1998. https://hdl.handle.net/2123/27602.

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This thesis examines and compares the cardiorespiratory effects of manual expiratory rib cage compression (MERC), which is used as an emergency expiratory assistance technique during positive pressure ventilation for acute severe asthma, and a potential alternative form of expiratory assistance (manual expiratory abdominal compression, MEAC).
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Demingo, Xavier Preston. "Professional nurses' knowledge regarding weaning the critically ill patient from the mechanical ventilation." Thesis, Nelson Mandela Metropolitan University, 2011. http://hdl.handle.net/10948/1323.

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Mechanical ventilation (MV) is one of the most frequently used treatment modalities in the intensive care unit (ICU) (Burns, 2005:14). Up to 90% of critically ill patients in ICUs globally are connected to a mechanical ventilator. Although mechanical ventilation is a lifesaving intervention, it is expensive and is associated with diverse complications (Mclean, Jensen, Schroeder, Gibney & Skjodt, 2006: 299). Ventilator-associated pneumonia (VAP) accounts for 25% of all infections in ICU, with global crude mortality figures estimated at 20-70% (Craven, 2006:251). Minimising the time that a patie
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張美儀 and Mei-yee Cheung. "An evidence-based guideline on early mobilization of mechanically ventilated patients." Thesis, The University of Hong Kong (Pokfulam, Hong Kong), 2013. http://hdl.handle.net/10722/193050.

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Background Severe impairment of physiologic functioning brings the focus of intensive care unit (ICU) on the reversal of acute organ failure which will threaten one’s survival if it is left untreated (Morris, 2007). Providing respiratory support to majority of ICU patients, mechanical ventilation (MV) is a life saving intervention. MV patients constitute one-third of ICU patients worldwide and 46% of them are put on ventilator support more than 24 hours having the mean duration ranged from 15.4 to 33.2 days (Adler & Malone, 2012). The aim of ICU care places most of the attention on resusci
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Cheung, Wai-ki, and 張慧琪. "The use of humidification system to reduce the work of breathing in mechanical ventilated patients." Thesis, The University of Hong Kong (Pokfulam, Hong Kong), 2013. http://hdl.handle.net/10722/193078.

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Critically ill patients in an intensive care unit (ICU) often require mechanical ventilation (MV). Humidification systems are essential devices for MV which replace the natural heat and moisture exchange process of inspired gases. A heat and moisture exchanger (HME) is commonly used for the humidification of MV patients in ICU. In contrast, a heated humidifier (HH) that is a more complicated device is used only for prolonged MV patients because of its higher cost and nurse workload. However, HME may increase the breathing workload of patients, thereby inflicting damage to their respiratory fun
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Books on the topic "Artificial respiration"

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Kreit, John W. Mechanical ventilation. Oxford University Press, 2013.

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£, V. L. Kassil. Iskusstvennai Ła i vspomogatel £nai Ła ventili Łat Łsii Ła legkikh: Rukovodstvo dli Ła vrachei. "Medit Łsina", 2004.

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Sykes, Keith. Respiratory support in intensive care. 2nd ed. BMJ Books, 1999.

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Hasan, Ashfaq. Understanding mechanical ventilation: A practical handbook. 2nd ed. Springer, 2010.

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M, Kacmarek Robert, ed. Essentials of mechanical ventilation. McGraw-Hill, Health Professions Division, 1996.

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W, Chang David. Clinical application of mechanical ventilation. Delmar Publishers, 1997.

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M, Kacmarek Robert, ed. Essentials of mechanical ventilation. 2nd ed. McGraw-Hill, Health Professions Division, 2002.

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Klaas, Michael, Edmund Koch, and Wolfgang Schröder, eds. Fundamental Medical and Engineering Investigations on Protective Artificial Respiration. Springer Berlin Heidelberg, 2011. http://dx.doi.org/10.1007/978-3-642-20326-8.

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J, Tobin Martin, ed. Principles and practice of mechanical ventilation. McGraw-Hill, Inc., 1994.

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1961-, Mackenzi Iain, ed. Core topics in mechanical ventilation. Cambridge University Press, 2008.

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Book chapters on the topic "Artificial respiration"

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Igarashi, Soh, Tomonobu Ozaki, and Koichi Furukawa. "Respiration Reflecting Musical Expression: Analysis of Respiration during Musical Performance by Inductive Logic Programming." In Music and Artificial Intelligence. Springer Berlin Heidelberg, 2002. http://dx.doi.org/10.1007/3-540-45722-4_10.

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Ando, N., Y. Shinozawa, M. Ohgami, and O. Abe. "Necessity for Postoperative Artificial Respiration in Esophageal Surgery." In Diseases of the Esophagus. Springer Berlin Heidelberg, 1988. http://dx.doi.org/10.1007/978-3-642-86432-2_49.

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Gärtner, K., S. Fuchs, and H. Jauch. "Hybrid Inference Components for Monitoring of Artificial Respiration." In Data Fusion Applications. Springer Berlin Heidelberg, 1993. http://dx.doi.org/10.1007/978-3-642-84990-9_2.

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Archana, H. R., H. H. Surendra, A. P. Jyothi, S. Lalitha, and K. N. Madhusudhan. "A Review on Wireless BAN to Measure the Respiration Rate Using SoC Architecture." In Applied Artificial Intelligence. CRC Press, 2023. http://dx.doi.org/10.1201/9781003324430-17.

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Stiglbrunner, K., M. Wurm, M. Weingant, J. Mader, A. Drauschke, and P. Kroesl. "Novel artificial lung model for respiration measurement and demonstration." In IFMBE Proceedings. Springer Berlin Heidelberg, 2009. http://dx.doi.org/10.1007/978-3-540-89208-3_489.

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Steuer, M., P. Caleb, P. K. Sharpe, G. B. Drummond, and A. M. S. Black. "Graphical Analysis of Respiration in Postoperative Patients Using Self Organising Maps." In Artificial Neural Networks in Medicine and Biology. Springer London, 2000. http://dx.doi.org/10.1007/978-1-4471-0513-8_21.

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Anca, Constantinescu-Dobra, Marian Raluca, Nicu Anca Iulia, and Marțiș Claudia Steluța. "Is Innovation Crucial for the Artificial Respiration System Market? A Strategic Portfolio Assessment." In IFMBE Proceedings. Springer Nature Switzerland, 2024. http://dx.doi.org/10.1007/978-3-031-62502-2_23.

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Goncharova, O. Yu, G. V. Matyshak, M. M. Udovenko, A. A. Bobrik, and O. V. Semenyuk. "Seasonal and Annual Variations in Soil Respiration of the Artificial Landscapes (Moscow Botanical Garden)." In Springer Geography. Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-89602-1_15.

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Özbek, Mustafa, Ulrike Domack, and Wolfgang K. R. Barnikol. "A Model for Evaluation of Artificial Oxygen Carriers Regarding Circulation, Respiration and Metabolism in Anesthetized Spontaneously Breathing Guinea Pigs." In Advances in Experimental Medicine and Biology. Springer US, 1999. http://dx.doi.org/10.1007/978-1-4615-4717-4_3.

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"artificial respiration." In Dictionary Geotechnical Engineering/Wörterbuch GeoTechnik. Springer Berlin Heidelberg, 2014. http://dx.doi.org/10.1007/978-3-642-41714-6_12844.

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Conference papers on the topic "Artificial respiration"

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S, Sakthiya Ram, Madhumitha J, Arun Jayakar, Deepa P, Kalimuthu M, and Kumar C. "Design and Comparison of Hybrid Optimization controllers for Artificial Respiration System." In 2025 Fourth International Conference on Smart Technologies, Communication and Robotics (STCR). IEEE, 2025. https://doi.org/10.1109/stcr62650.2025.11019587.

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Kontou, Panagiota, Chang Huan, Souheil Ben Smida, and Dimitris E. Anagnostou. "Artificial Neural Network for Radar-based Respiration Detection." In 2023 XXXVth General Assembly and Scientific Symposium of the International Union of Radio Science (URSI GASS). IEEE, 2023. http://dx.doi.org/10.23919/ursigass57860.2023.10265426.

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Shahid, Mukaram. "Prototyping of Artificial Respiration Machine Using AMBU Bag Compression." In 2019 International Conference on Electronics, Information, and Communication (ICEIC). IEEE, 2019. http://dx.doi.org/10.23919/elinfocom.2019.8706360.

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Sharan, Roneel V. "ECG-Derived Respiration for Sleep-Wake Stage Classification." In 2021 IEEE International Conference on Artificial Intelligence in Engineering and Technology (IICAIET). IEEE, 2021. http://dx.doi.org/10.1109/iicaiet51634.2021.9573596.

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Bonarini, A., M. Matteucci, and S. Tognetti. "Chest expansion reconstruction from respiration sound by using artificial neural networks." In 4th IET International Conference on Advances in Medical, Signal and Information Processing (MEDSIP 2008). IEE, 2008. http://dx.doi.org/10.1049/cp:20080438.

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Shunshoku Kanae, Zi-Jiang Yang, and Kiyoshi Wada. "Decision of air-pressure limit value in the case of artificial respiration." In 2008 International Conference on Information and Automation (ICIA). IEEE, 2008. http://dx.doi.org/10.1109/icinfa.2008.4608159.

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Li, Haoqian, Shuangke Liu, and Jing Qiu. "Respiration Signal Detection Using Continuous-wave Radar and Optimized Algorithm." In ICAIIS 2021: 2021 2nd International Conference on Artificial Intelligence and Information Systems. ACM, 2021. http://dx.doi.org/10.1145/3469213.3470693.

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Kim, Seong-Hoon, and Gi-Tae Han. "1D CNN Based Human Respiration Pattern Recognition using Ultra Wideband Radar." In 2019 International Conference on Artificial Intelligence in Information and Communication (ICAIIC). IEEE, 2019. http://dx.doi.org/10.1109/icaiic.2019.8669000.

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Tsai, Yu-Chiao, Shih-Hsuan Lai, Ching-Ju Ho, et al. "High Accuracy Respiration and Heart Rate Detection Based on Artificial Neural Network Regression." In 2020 42nd Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC) in conjunction with the 43rd Annual Conference of the Canadian Medical and Biological Engineering Society. IEEE, 2020. http://dx.doi.org/10.1109/embc44109.2020.9175161.

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Harvenda, Valendry, Yanuar Hamzah, Arfianti, Tetty Marta Linda, and Lazuardi Umar. "Influence of artificial light color on cellular respiration of green algae photosynthesis activity." In THE 8TH NATIONAL PHYSICS SEMINAR 2019. AIP Publishing, 2019. http://dx.doi.org/10.1063/1.5132655.

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