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Academic literature on the topic 'Patient monitoring Victoria Equipment and supplies'
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Journal articles on the topic "Patient monitoring Victoria Equipment and supplies"
Gaievskyi, Stanislav, and Colin Meghoo. "Availability of Essential Medical Equipment for Prehospital Trauma Care on Public Ambulances in Ukraine." Prehospital and Disaster Medicine 34, s1 (May 2019): s104. http://dx.doi.org/10.1017/s1049023x19002164.
Full textPeevy, Keith J., and Michael W. Hall. "Transcutaneous Oxygen Monitoring: Economic impact on Neonatal Care." Pediatrics 75, no. 6 (June 1, 1985): 1065–67. http://dx.doi.org/10.1542/peds.75.6.1065.
Full textJones, Jessica, Katherine Bubric, Susan Biesbroek, and Jason Laberge. "Human Factors Guidelines for the Design of Mobile Medical Environments." Ergonomics in Design: The Quarterly of Human Factors Applications 26, no. 3 (January 16, 2018): 9–16. http://dx.doi.org/10.1177/1064804617744975.
Full textVan Vooren, Steven, James Grayson, Marc Van Ranst, Elisabeth Dequeker, Lies Laenen, Reile Janssen, Laurent Gillet, et al. "Reliable and Scalable SARS-CoV-2 qPCR Testing at a High Sample Throughput: Lessons Learned from the Belgian Initiative." Life 12, no. 2 (January 21, 2022): 159. http://dx.doi.org/10.3390/life12020159.
Full textFurlanetto, Denise de Lima Costa, Wallace Dos Santos, Magda Duarte dos Anjos Scherer, Fabrício Vieira Cavalcante, Aimê Oliveira, Klébya Hellen Dantas de Oliveira, Ricardo Ramos dos Santos, Thaís Alessa Leite, Katia Crestine Poças, and Leonor Maria Pacheco Santos. "Structure and responsiveness: are Primary Health Care Units prepared to face COVID-19?" Saúde em Debate 46, no. 134 (2022): 630–47. http://dx.doi.org/10.1590/0103-1104202213403.
Full textEom, Joong Sik. "What is the Fee for Infection Prevention and Control? Current Status and Prospect." Korean Journal of Medicine 97, no. 4 (August 1, 2022): 199–203. http://dx.doi.org/10.3904/kjm.2022.97.4.199.
Full textNedelea, Paul Lucian, Tudor Ovidiu Popa, Emilian Manolescu, Catalin Bouros, Gabriela Grigorasi, Doru Andritoi, Catalin Pascale, Avramescu Andrei, and Diana Carmen Cimpoesu. "Telemedicine System Applicability Using Drones in Pandemic Emergency Medical Situations." Electronics 11, no. 14 (July 10, 2022): 2160. http://dx.doi.org/10.3390/electronics11142160.
Full textAzizi Farsani, Hamidreza, Faranak Behnaz, Zahra Azizi Farsani, and Shayesteh Khorasanizadeh. "Regional anesthesia during COVID-19 pandemic: A minireview and practical recommendations." Journal of Shahrekord University of Medical Sciences 24, no. 1 (January 26, 2022): 42–46. http://dx.doi.org/10.34172/jsums.2022.08.
Full textKorytkowski, Mary, Kellie Antinori-Lent, Andjela Drincic, Irl B. Hirsch, Marie E. McDonnell, Robert Rushakoff, and Ranganath Muniyappa. "A Pragmatic Approach to Inpatient Diabetes Management during the COVID-19 Pandemic." Journal of Clinical Endocrinology & Metabolism 105, no. 9 (June 4, 2020): 3076–87. http://dx.doi.org/10.1210/clinem/dgaa342.
Full textSickbert-Bennett, Emily, Kate Schultz, Lisa Teal, Lauren DiBiase, and David J. Weber. "529. Halting Multi-Modal Transmission of a Novel Carbapenemase-Producing Enterobacteriaceae Outbreak." Open Forum Infectious Diseases 6, Supplement_2 (October 2019): S254—S255. http://dx.doi.org/10.1093/ofid/ofz360.598.
Full textDissertations / Theses on the topic "Patient monitoring Victoria Equipment and supplies"
Ajmani, Amit. "Spectral analysis of acoustic respiratory signal with a view to developing an apnoea monitor." Title page, contents and summary only, 1993. http://web4.library.adelaide.edu.au/theses/09ENS/09ensa312.pdf.
Full textBrinkman, Karen L. "Design of a microcomputer-based open heart surgery patient monitor." Thesis, Virginia Polytechnic Institute and State University, 1985. http://hdl.handle.net/10919/76031.
Full textMaster of Science
Fong, Christopher. "Development of Portable Diffuse Optical Spectroscopic Systems For Treatment Monitoring." Thesis, 2017. https://doi.org/10.7916/D8JW8SB0.
Full textHouse, Samuel. "Passive health monitoring with wirelessly powered medical devices." Thesis, 2013. http://hdl.handle.net/1957/37813.
Full textGraduation date: 2013
"Wireless sensor networks for medical care." 2008. http://library.cuhk.edu.hk/record=b5893533.
Full textThesis (M.Phil.)--Chinese University of Hong Kong, 2008.
Includes bibliographical references (leaves 72-77).
Abstracts in English and Chinese.
Chapter Chapter 1 --- Introduction --- p.1
Chapter 1.1 --- Design Challenges --- p.2
Chapter 1.2 --- Wireless Sensor Network Applications --- p.6
Chapter 1.2.1 --- Military Applications --- p.7
Chapter 1.2.2 --- Environmental Applications --- p.9
Chapter 1.2.3 --- Health Applications --- p.11
Chapter 1.3 --- Wireless Biomedical Sensor Networks (WBSN) --- p.12
Chapter 1.4 --- Text Organization --- p.13
Chapter Chapter 2 --- Design a Wearable Platform for Wireless Biomedical Sensor Networks --- p.15
Chapter 2.1 --- Objective --- p.17
Chapter 2.2 --- Requirements for Wireless Medical Sensors --- p.19
Chapter 2.3 --- Hardware design --- p.21
Chapter 2.3.1 --- Materials and Methods --- p.21
Chapter 2.3.2 --- Results --- p.24
Chapter 2.3.3 --- Conclusion --- p.27
Chapter 2.4 --- Software design --- p.28
Chapter 2.4.1 --- TinyOS --- p.28
Chapter 2.4.2 --- Software Organization --- p.28
Chapter Chapter 3 --- Wireless Medical Sensors --- p.32
Chapter 3.1 --- Sensing Physiological Information --- p.32
Chapter 3.1.1 --- Pulse Oximetry --- p.32
Chapter 3.1.2 --- Electrocardiograph --- p.36
Chapter 3.1.3 --- Galvanic Skin Response --- p.41
Chapter 3.2 --- Location Tracking --- p.43
Chapter 3.2.1 --- Outdoor Location Tracking --- p.43
Chapter 3.2.2 --- Indoor Location Tracking --- p.44
Chapter 3.3 --- Motion Tracking --- p.49
Chapter 3.3.1 --- Technology --- p.50
Chapter 3.3.2 --- Motion Analysis Sensor Board --- p.51
Chapter 3.4 --- Discussions --- p.52
Chapter Chapter 4 --- Applications in Medical Care --- p.54
Chapter 4.1 --- Introduction --- p.54
Chapter 4.2 --- Wearable Wireless Body Area Network --- p.56
Chapter 4.2.1 --- Architecture --- p.58
Chapter 4.2.2 --- Deployment Scenarios --- p.62
Chapter 4.3 --- Application in Ambulatory Setting --- p.63
Chapter 4.3.1 --- Method --- p.64
Chapter 4.3.2 --- The Software Architecture --- p.66
Chapter Chapter 5 --- Conclusions and Future Work --- p.69
References --- p.72
Appendix --- p.78
"The estimation of cardiac power output using multiple physiological signals." Thesis, 2010. http://library.cuhk.edu.hk/record=b6075255.
Full text2. A nonlinear pressure-volume relationship which reflected the natural arterial wall properties was introduced into the asymmetric T-tube arterial model, which effectively and quantitatively described the effect of pulsatile BP on arterial parameters, e.g., compliance, PTT etc.
3. A mathematical relationship between PAT and BP was firstly proposed as a result of the heart-arterial interaction, which simulated a significantly strong and negative relationship between PAT and SBP and between PAT and MBP but a much weaker negative relationship between PAT and DBP during exercise. The hypothesis was supported by the experiment data. To our knowledge, it is the first study describing the quantitative relation of PAT and BP by both model-based study and experimental data.
4. A novel wearable measurable CO parameter, PTRR, was proposed and it successfully showed a significantly high and positive correlation with CO during exercise both in model simulation and in the experiments.
5. Linear prediction models using PAT to estimate MBP and using PTRR to estimate CO were proposed and evaluated in two exercise experiments conducted on 84 subjects with different ages and cardiovascular diseases. Results showed the proposed method could achieve the accuracy required for medical diagnosis.
6. Taken the findings in 3, 4 and 5 together, this study in the first time provided both the theoretical basis and experimental verifications of developing a wearable and direct measurement technique of CPO in dynamic exercise using multiple physiological signals measured on body surface.
Cardiac power output (CPO) is defmed as the product of mean arterial blood pressure (MBP) and cardiac output (CO), and CPO measured during peak dynamic exercise (i.e. peak CPO) has been shown as a powerful predictor of death for heart failure patients. However, so far there has been no existing device which directly measures CPO, and CPO is acquired from simultaneous measurement of MBP and CO. Further, simultaneous MBP and CO measurement during dynamic exercise is a challenge for current BP and CO methods. Therefore, there is an urgent need to develop new devices which are fully wearable and unobtrusive for monitoring of CPO during dynamic exercise. Since the core problem in most wearable devices is how to estimate the target cardiovascular parameter, e.g. CPO in this study, through physiological signals measured from body surface, this thesis focus on developing a direct measurement technique of CPO in dynamic exercise using multiple physiological signals measured on body surface, specifically, electrocardiogram (ECG) and photoplehtysmogram (PPG).
Finally, based on the theoretical and experimental verifications, linear prediction models were proposed to estimate MBP from PAT and estimate CO from PTRR. The results showed that PAT can estimate MBP with a standard deviation of 7.42 mmHg, indicating PAT model has the potential to achieve the accuracy required by AMMI standard (mean error within +/- 5 mmHg and SD less than 8 mmHg). The results also showed that PTRR can estimate CO with a percent error of 22.57%, showing an accuracy which was considered as clinically acceptable (percent error less than 30%).
Heart failure is the end stage of many cardiovascular diseases, such as hypertension, coronary heart disease, diabetes mellitus, etc. Around 5.8 million people in the United States have heart failure and about 670,000 people are diagnosed with it each year. In 2010, heart failure will cost the United States $30.2 billion, and the cost of healthcare services is a major component of this total. With the resultant burden on health care resources it is imperative that heart failure patients with different risk stages are identified, ideally with objective indicators of cardiac dysfunction, in order that appropriate and effective treatment can be instituted.
In order to verify the theoretical findings, two experiments were carried out. One was incremental supine bicycle exercise conducted on 19 young healthy subjects and the other was incremental to maximum supine bicycle exercise conducted on 65 subjects, including heart failure patients, cardiovascular patients and healthy elderly. PAT showed significantly high and negative correlation with SBP and MBP, but lower correlation with DBP. PTRR showed significantly high and positive correlation with CO.
In this thesis, a model based study is conducted to address the above problem. Firstly, we deduced the mathematical expression of PEP as a function of DBP by introducing the arbitrary heart rate into the exponential mathematical description of a pressure-source model. Secondly, an asymmetric T-tube model was modified by introducing a nonlinear pressure-volume relationship where PTT was expressed as a dependent variant of BP. Thirdly, we proposed the mathematical equation between PAT and BP by coupling the modified ventricular and arterial models. Then, the relationships between PAT with systolic blood pressure (SBP), MBP and DBP were simulated under changing heart contractility, preload, heart rate, peripheral resistance, arterial stiffness and a mimic exercise condition. The simulation results indicated significantly high and negative correlations between PAT and SBP and between PAT and MBP whereas the correlation between DBP and PAT was low.
Next, we developed a novel CO index, namely pulse time reflection ratio (PTRR), expressed in terms of MBP and mean aortic reflection coefficient (Gamma(0)), from the modified asymmetric T-tube model. PTRR was further expressed in terms of PAT and inflection point area (IPA), a surrogate of Gamma(0) from the shape feature of PPG. The simulation results suggested significantly and positive relationship between PTRR and CO and between IPA and Gamma(0) during dynamic exercise.
Recently, a wearable measurable parameter, pulse arrival time or PAT, has been developed for BP measurement. PAT is the time delay from the R peak of ECG to the systolic foot of PPG. PAT consists of two timing components, the pre-ejection period (PEP) of the heart and pulse transit time (PTT). PTT is related to BP by an arterial elastic model and thus can be used to estimate beat-to-beat BP. However, PTT is difficult to be measured through a wearable device, and thus PAT is usually used as a surrogate of PTT for BP estimation, under the assumption of a constant PEP. However, PEP is not a constant but changing with physiological conditions, which may alter the PAT-BP relationship. Thus, it is important to clarify the PAT-BP relationship and address the feasibility of MBP estimation using PAT during dynamic exercise.
To summarize, the original contributions of this thesis are:
Wang, Ling.
Adviser: Y.T. Zhang.
Source: Dissertation Abstracts International, Volume: 73-03, Section: B, page: .
Thesis (Ph.D.)--Chinese University of Hong Kong, 2010.
Includes bibliographical references.
Electronic reproduction. Hong Kong : Chinese University of Hong Kong, [2012] System requirements: Adobe Acrobat Reader. Available via World Wide Web.
Electronic reproduction. [Ann Arbor, MI] : ProQuest Information and Learning, [201-] System requirements: Adobe Acrobat Reader. Available via World Wide Web.
Abstract also in Chinese.
Books on the topic "Patient monitoring Victoria Equipment and supplies"
Advanced technological solutions for e-Health and dementia patient monitoring. Hershey, PA: Medical Information Science Reference, 2015.
Find full textVeldkamp, Rolf Frederik. Continuous digital 12-lead ST-segment monitoring in Acute Myocardial Infarction =: Continue digitale 12-afleidingen ST-segment bewaking tijdens het acute myocard infarct : proefschrift. Delft: The Author, 1995.
Find full textInc, Medical Data International. Opportunities in U.S. markets for neonatal/perinatal monitoring and treatment products. Santa Ana, Calif. (5 Hutton Centre Dr., Suite 1100, Santa Ana, California 92707): Medical Data International, 1999.
Find full textInsight, LLC Medtech. U.S. markets for blood gas/electrolyte monitoring, pulmonary function assessment, and sleep apnea management products. Newport Beach, CA: Medtech Insight, 2005.
Find full textMakikawa, Masaaki, and Toshiyo Tamura. Kōreisha no nichijō katsudō monitaringu kiki no kaihatsu ni kansuru kenkyū (H11-chōju-039): Heisei 13-nendo sōgō kenkyū hōkokusho : kōsei kagaku kenkyū kenkyūhi hojokin, chōju kagaku sōgō kenkyū jigyō. [Japan: s.n.], 2002.
Find full textMäkivirta, Aki. Towards reliable and intelligent alarms by using median filters. Espoo, Finland: Valtion teknillinen tutkimuskeskus, 1989.
Find full textE, Scheving Lawrence, Halberg Franz 1918-, and Ehret Charles F, eds. Chronobiotechnology and chronobiological engineering. Dordrecht: Nijhoff, 1987.
Find full textR, Ramasubramanian, ed. Interfacing the IBM-PC to medical equipment: The art of serial communication. Cambridge: Cambridge University Press, 1995.
Find full textHeffner, Steven. The U.S. market for over-the-counter diagnostics: Product sales and consumer survey. Edited by Kalorama Information LLC. New York, N.Y: Kalorama Information, 2004.
Find full textInc, Biomedical Business International, ed. Patient monitoring disposables and equipment. 3rd ed. Tustin, CA, U.S.A. (17722 Irvine Blvd., Tustin 92680): Biomedical Business International, 1987.
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