Academic literature on the topic 'Hemodynamic monitoring'
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Journal articles on the topic "Hemodynamic monitoring"
SCORDO, KRISTINE. "Hemodynamic monitoring." Nursing 15, no. 7 (July 1985): 40–43. http://dx.doi.org/10.1097/00152193-198507000-00009.
Full textDarovic, Gloria Oblouk. "Hemodynamic Monitoring." Nursing 17, no. 11 (November 1987): 88–89. http://dx.doi.org/10.1097/00152193-198711000-00030.
Full textBronicki, Ronald A. "Hemodynamic Monitoring." Pediatric Critical Care Medicine 17 (August 2016): S207—S214. http://dx.doi.org/10.1097/pcc.0000000000000779.
Full textMendez, Omar E., and I. Alan Fein. "HEMODYNAMIC MONITORING." Critical Care Medicine 14, no. 4 (April 1986): 327. http://dx.doi.org/10.1097/00003246-198604000-00039.
Full textPeruzzi, William T., and Jeffrey S. Vender. "Hemodynamic monitoring." Current Opinion in Anaesthesiology 5, no. 1 (February 1992): 11–14. http://dx.doi.org/10.1097/00001503-199202000-00003.
Full textPeruzzi, William T., and Jeffery S. Vender. "Hemodynamic monitoring." Current Opinion in Anaesthesiology 6, no. 1 (February 1993): 30–34. http://dx.doi.org/10.1097/00001503-199302000-00005.
Full textLeibowitz, Andrew. "Hemodynamic Monitoring." ASA Refresher Courses in Anesthesiology 37, no. 1 (July 2009): 119–28. http://dx.doi.org/10.1097/asa.0b013e3181a68e04.
Full textZborowski, Michael. "Hemodynamic Monitoring." Dimensions of Critical Care Nursing 6, no. 3 (May 1987): 174. http://dx.doi.org/10.1097/00003465-198705000-00010.
Full textc, Darovi. "Hemodynamic Monitoring." Dimensions of Critical Care Nursing 15, no. 1 (January 1996): 39. http://dx.doi.org/10.1097/00003465-199601000-00008.
Full textPeruzzi, William T. "Hemodynamic monitoring." Critical Care Medicine 25, no. 11 (November 1997): 1767–68. http://dx.doi.org/10.1097/00003246-199711000-00002.
Full textDissertations / Theses on the topic "Hemodynamic monitoring"
Zhang, Yi 1973. "Multi-channel blind system identification for central hemodynamic monitoring." Thesis, Massachusetts Institute of Technology, 2002. http://hdl.handle.net/1721.1/29622.
Full textIncludes bibliographical references (leaves 89-91).
Multi-channel Blind System Identification (MBSI) is a technique for estimating both an unknown input and unknown channel dynamics from simultaneous output measurements at different channels through which the input signal propagates. It is a powerful tool particularly for the identification and estimation of dynamical systems in which a sensor, for measuring the input, is difficult to place. All of the existing MBSI algorithms, however, are not applicable to multi-channel systems sharing common dynamics among the channels, since these algorithms, by nature, exploit "differences" among the multiple channel dynamics. This requirement renders the MBSI algorithms useless in systems that have both a lumped-parameter nature and a distributed nature; all channels in a system of this type share poles dictated by the lumped-parameter dynamics. To overcome this difficulty, this thesis investigates a new approach, Intermediate Input Identification (IIID). This thesis proves that the distinct dynamics in each channel can be identified up to a scalar factor even when common dynamics are present. Based on this discovery, the MBSI problem is reformulated and an intermediate input is introduced, which integrates the original system input and the common dynamics shared by all the channels. The two-step IIID approach is developed to solve the problem: first, the distinct dynamics are identified from the outputs; second, the common dynamics are identified from the intermediate input by exploiting the zero-input response of the system. The identifiability conditions are thoroughly investigated. The sufficient and necessary conditions and the relationship between the linear-complexity condition of the original input and that of the intermediate input are derived in this thesis.
(cont.) This thesis also develops a central hemodynamic monitoring scheme based on IIID. The similarities between the structure of a digital wireless communication system and that of the cardiovascular system are explained. The input, the common dynamics and the distinct dynamics in the cardiovascular multi-channel system are derived based on the determinants of arterial blood pressure. Analysis of the data from a cardiovascular simulator and animal experiments verify the validity of this scheme. The positive results demonstrate that the IIID approach could open up the possibility for noninvasive central hemodynamic monitoring, which could significantly reduce the risks to which patients are exposed.
by Yi Zhang.
Ph.D.
Escrivá, Muñoz Jesús. "Advanced bioimpedance signal processing techniques for hemodynamic monitoring during anesthesia." Doctoral thesis, Universitat Politècnica de Catalunya, 2018. http://hdl.handle.net/10803/669254.
Full textEl gasto cardíaco (GC) define el flujo de sangre que llega desde el corazón a los distintos órganos del cuerpo y es, por tanto, un determinante primario del transporte global de oxígeno. Se ha medido tradicionalmente usando métodos invasivos cuyos riesgos excedían en ocasiones las ventajas de su monitorización. En este contexto, la minimización del riesgo de la monitorización del gasto cardíaco en nuevas tecnologías no invasivas podría traducirse en mayores ventajas para médicos, hospitales y pacientes: facilidad de uso, disponibilidad del equipamiento y menor tiempo de recuperación y mejores resultados en el paciente. La impedancio-cardiografía o cardiografía de impedancia (ICG} es una prometedora tecnología no invasiva para la monitorización del gasto cardíaco. Sin embargo, la información disponible sobre las señales de ICG es más escasa que otras señales fisiológicas como el electrocardiograma (ECG). La presente Tesis Doctoral contribuye al desarrollo de técnicas de tratamiento de señal de ICG para así crear un monitor hemodinámico innovador. En primer lugar, se proporciona una extensa revisión bibliográfica sobre los aspectos básicos del contexto clínico en el que se utiliza la monitorización del gasto cardíaco así como sobre el estado del arte de los monitores de gasto cardíaco que existen en el mercado. Esta Tesis Doctoral ha producido una considerable cantidad de datos clínicos que también se explican en detalle. Dichos datos clínicos también son útiles para complementar las explicaciones teóricas de los índices de paciente de variabilidad cardíaca y el flujo y la presión sanguíneos. Además, se presenta un nuevo método de creación de señales sintéticas biomédicas con características de tiempo-frecuencia conocidas. Uno de los primeros análisis de esta Tesis Doctoral estudia la diferencia temporal entre los picos de los latidos cardíacos del ECG y del ICG: el segmento RC. Este segmento RC es una medida del retardo temporal entre la actividad eléctrica y mecánica del corazón. Se analiza la relación del segmento RC con la presión arterial y el intervalo cardíaco. La concordancia entre la duración de los latidos del ECG y del ICG es uno de los resultados claves para desarrollar nuevos algoritmos de detección de artefactos y el segmento RC también podría ser relevante en la descripción de la hemodinámica de los pacientes. Las distribuciones de tiempo-frecuencia (TFD, por sus siglas en inglés) se utilizan para caracterizar cómo el contenido de las señales de impedancia cardiográfica cambia con el tiempo. Dado que las TFDs deben calcularse usando núcleos (kernels, en inglés) concretos, se presenta un nuevo método para seleccionar el mejor núcleo mediante el uso de señales sintéticas. Las TFDs de ICG optimizadas se calculan para extraer distintas características que son usadas para discriminar entre los diferentes estados de anestesia en pacientes sometidos a procesos quirúrgicos. Las características derivadas de las distribuciones de tiempo-frecuencia también son utilizadas para describir las operaciones quirúrgicas durante toda su extensión temporal. La relación entre dichas características son analizadas y se proponen distintos modelos de predicción para el gasto cardíaco. Estos modelos de predicción demuestran que las características derivadas de las distribuciones tiempo-frecuencia de señales de ICG están relacionadas con el gasto cardíaco de los pacientes. Finalmente, se presenta un estudio de validación del monitor qCO, diseñado con alguna de las técnicas que son consecuencia de esta Tesis Doctoral. Las principales conclusiones de este trabajo han sido protegidas con una patente que ya ha sido registrada. Como conclusión, esta Tesis Doctoral ha producido una considerable cantidad de datos clínicos y una variedad de técnicas de procesado y análisis de señales de cardiografía de impedancia que han sido incluidas en dispositivos biomédicos disponibles en el mercado
Braunschweig, Frieder. "Implantable devices in heart failure : studies on biventricular pacing and continuous hemodynamic monitoring /." Stockholm, 2002. http://diss.kib.ki.se/2002/91-7349-345-7/.
Full textGavelli, Francesco. "Non-invasive hemodynamic monitoring techniques for detecting Preload responsiveness in critically ill patients." Doctoral thesis, Università del Piemonte Orientale, 2022. http://hdl.handle.net/11579/142918.
Full textKjellström, Barbro. "The usefulness of continuous hemodynamic monitoring to guide therapy in patients with cardiopulmonary disease /." Stockholm, 2007. http://diss.kib.ki.se/2007/978-91-7357-225-5/.
Full textOhlsson, Åke. "Continuous ambulatory hemodynamic monitoring with an implantable system : the feasibility of a new technique /." Stockholm, 1997. http://diss.kib.ki.se/1997/91-628-2602-6/.
Full textRevie, James Alexander Michael. "Model-based cardiovascular monitoring in critical care for improved diagnosis of cardiac dysfunction." Thesis, University of Canterbury. Mechanical Engineering, 2013. http://hdl.handle.net/10092/7876.
Full textSilveira, Bárbara Claudina Rodrigues da. "Hemodinâmica, hemogasometria e efeitos sedativos da infusão contínua de xilazina associada à nalbufina em equinos /." Araçatuba, 2019. http://hdl.handle.net/11449/183399.
Full textResumo: Objetivou-se avaliar os efeitos hemodinâmicos, hemogasométricos e sedativos da associação de xilazina e nalbufina em equinos hígidos. Foram utilizados 7 equinos adultos (385 ± 82kg), de ambos os sexos, com idade média de 7 ± 3 anos. Após a administração de bolus sequenciais de xilazina (0,8 mg/kg) e nalbufina (0,025 mg/kg), pela via intravenosa (IV), iniciou-se a infusão contínua de xilazina (0,7 mg/kg/hora) e nalbufina (0,03 mg/kg/hora). As variáveis FC, PAS, PAD, PAM, DC, PVC, PAPM, IS, IC, IRVS, FR, pH, PaO2, PaCO2, HCO3-, BE, temperatura corporal, sedação, ataxia e motilidade intestinal foram avaliadas antes do início da administração dos fármacos (Basal) e a cada vinte minutos após o início da infusão contínua até 80 minutos (T20, T40 e T60 e T80). Houve redução da FC, IC, FR e aumento do IRVS e da PaCO2 após o início da infusão contínua dos fármacos. Com os resultados obtidos é possível concluir que a associação de xilazina e nalbufina, nas doses empregadas neste estudo, promoveu sedação e manteve a motilidade reduzida, sem causar alterações clinicamente significativas nos parâmetros hemodinâmicos e hemogasométricos.
Abstract: The aim of this study was to evaluate the hemodynamic, hemogasometric and sedative effects of xylazine and nalbuphine in healthy horses. Seven adult horses (385 ± 82 kg), with a mean age of 7 ± 3 years, were used. Administration of sequential doses of xylazine (0.8 mg kg-1) and nalbuphine (0.025 mg kg-1), both intravenous (IV), continuous rate infusion of xylazine (0.7 mg kg-1 hour-1) and nalbuphine (0.03 mg kg-1 hour-1). The variables HR, RR SAP, DAP, MAP, CO, CVP, MPAP, SI, CI, SVRI RR pH, PaO2, PaCO2, HCO3-, BE, body temperature, sedation, ataxia and motility were taken immediately before the administration of the drugs (Basal) and then at 20-minute intervals during 80 minutes (T20, T40, T60 and T80). Reduction of HR, CI, respiratory rate (RR) and increase of ISVR and PaCO2 were observed after the administration of xylazine and nalburphine combination. The results allow us to conclude that the xylazine and nalbuphine association, at the doses used in this study, promoted sedation and maintenance of motility reduction without causing clinically significant changes in hemodynamic and hemogasometric parameters.
Mestre
Dalla, Sangita. "The accuracy of non-invasive blood pressure monitoring when compared to intra-arterial blood pressure monitoring in patients with severe pre-eclampsia during an acute hypertensive crisis." Thesis, Stellenbosch : University of Stellenbosch, 2010. http://hdl.handle.net/10019.1/5325.
Full textENGLISH ABSTRACT: OBJECTIVE: The aim of this study was to compare the accuracy of non-invasive blood pressure measurements, using automated and manual devices, against invasive intra-arterial blood pressure measurements in patients with pre-eclampsia, during a hypertensive blood pressure peak. STUDY DESIGN: In this prospective study, women admitted to the Obstetrics Critical Care Unit, with confirmed pre-eclampsia and acute severe hypertension, who had an intra-arterial line in situ, were asked to participate. During an intra-arterial blood pressure peak, both an automated oscillometric and a blinded manual aneroid sphygmomanometric blood pressure was recorded. These two methods of blood pressure measurements were compared to intra-arterial blood pressure measurements. The accuracy of a mean arterial pressure (MAP) ≥ 125mmHg in detecting a systolic blood pressure (SBP) ≥ 160mmHg, using all three methods, was also determined. RESULTS: There was poor correlation between intra-arterial SBP and automated and manual SBP (r = 0.34, p < 0.01; r = 0.41, p < 0.01 respectively). The mean differences between automated and manual SBP compared to the intra-arterial SBP was 24 ± 17mmHg (p < 0.01) and 20 ± 15 mmHg (p < 0.01) respectively. There was better correlation between intra-arterial diastolic blood pressure (DBP) and automated and manual DBP (r = 0.61, p < 0.01; r = 0.59, p < 0.01 respectively). The mean differences of the automated and manual DBP was not statistically significant when compared to the intra-arterial DBP. There was poor correlation between the intra-arterial MAP and the automated MAP (r = 0.44, p < 0.01) and good correlation with the manual MAP (r = 0.56, p < 0.01). The mean differences of the automated and manual MAP were statistically significant (5 ± 13mmHg, p < 0.01; 8 ± 11mmHg, p < 0.01 respectively). The sensitivity of automated and manual methods in detecting a SBP ≥ 160mmHg was 23.4% and 37.5% respectively. A MAP ≥ 125mmHg in detecting a SBP ≥ 160mmHg, when using intra-arterial, automated and manual methods of blood pressure measurements showed low sensitivity (35.9%, 21.9% and 17.2% respectively). CONCLUSION: This study demonstrated that both the automated and manual methods of blood pressure measurements were not an accurate measure of the true systolic intra-arterial blood pressure, when managing pre-eclamptic patients with acute severe hypertension. In such situations, intra-arterial blood pressure monitoring should be used when possible. When this is not possible, manual aneroid sphygmomanometry is recommended. Underestimating blood pressure, particularly SBP, may lead to severe maternal morbidity and mortality.
AFRIKAANSE OPSOMMING: DOELWIT: Die doel van hierdie studie is om die akuraatheid van nie invasiewe bloeddruk metings, wanneer geneem met outomatiese en manuele aparate, te vergelyk met intra-arteriele bloed druk metings in pasiente met pre-eklampsie, gedurende ‘n hipertensiewe bloeddruk piek. STUDIE ONTWERP: In hierdie prospektiewe beskrywende dwarssnit studie, was pasiente wat toegelaat was tot die Obstetriese Kritieke Sorg Eenheid met pre-eklampsie, akute erge hipertensie en ‘n intra-arteriele lyn in situ gevra om deel te neem. Gedurende ‘n intra-arteriele erge hipertensiewe piek is beide die outomatiese ossilometriese en die geblinde aneroide sfigmometer lesing neergeskryf. Hierdie twee metodes van non invasiewe bloed druk lesings is vergelyk met intra-arteriele bloed druk lesings. Die akuraatheid van ‘n gemiddelde arteriele bloeddruk ≥ 125mmHg om ‘n sistoliese bloeddruk ≥ 160mmHg op te tel met gebruik van al die drie metodes is ook uitgewerk. RESULTATE: Daar was swak korrelasie tussen intra-arteriele sistoliese bloed druk (SBD) metings en outomatiese en manuele SBD (r = 0.34, p < 0.01; r = 0.41, p < 0.01 onderskeidelik). Die gemiddelde verskille tussen outomatiese en manuele SBD wanneer vergelyk met intra-arteriele SBD was 24 ± 17mmHg (p < 0.01) en 20 ± 15 mmHg (p < 0.01) onderskeidelik. Beter korrelasie was gevind tussen intra-arteriele diastoliese bloed druk (DBD) en outomatiese en manuele DBD (r = 0.61, p < 0.01; r = 0.59, p < 0.01 onderskeidelik). Die gemiddelde verskille tussen outomatiese en manuele DBD wanneer dit vergelyk was met intra-arteriele DBD was nie statisties betekenisvol nie. Daar was swak korrelasie tussen intra arteriele gemiddelde arteriele bloeddruk en outomatiese gemiddelde arteriele bloeddruk (r = 0.44, p < 0.01) en beter korrelasie met manuele gemiddelde arteriele bloeddruk (r = 0.56, p < 0.01). Die gemiddelde verskille van outomatiese en manuele gemiddelde arteriele bloeddruk was betekenisvol (5 ± 13mmHg, p < 0.01; 8 ± 11mmHg, p < 0.01 onderskeidelik). Die sensitiwiteit van outomatiese en manuele metodes om ‘n intra-arteriele SBD ≥ 160mmHg op te tel was 23.4% en 37.5% onderskeidelik. Die vermoë van ‘n gemiddelde arteriele bloeddruk ≥ 125mmHg om ‘n SBD ≥ 160mmHg op te tel, gemeet deur intra-arterieel, outomatiese en manuele metodes het lae sensitiwiteit getoon (35.9%, 21.9% en 17.2% onderskeidelik). GEVOLGTREKKING: Hierdie studie het gedemonstreer dat outomatiese en manuele metodes van bloeddruk meting nie akurate metodes is om ware intra-arteriele sistoliese bloeddruk te meet in pasiente met erge pre-eklampsie tydens ‘n erge hipertensiewe episode nie. In hierdie omstandighede moet intra-arteriele bloeddruk gemeet word indien beskikbaar. Indien dit nie beskikbaar is nie moet die manuele aneroiede sfigmomanometer gebruik word. Onderskatting van bloeddruk, veral sistoliese bloeddruk, kan lei tot erge moederlike morbiditeit en mortaliteit.
Reid, Kevin Brian. "The effect of heavy handrail support on blood pressure response in normotensive adults during treadmill walking /." Full-text of dissertation on the Internet (433 KB), 2009. http://www.lib.jmu.edu/general/etd/2009/Masters/Reid_Kevin/reidkb_masters_11-12-2009.pdf.
Full textBooks on the topic "Hemodynamic monitoring"
Pinsky, Michael R., Jean-Louis Teboul, and Jean-Louis Vincent, eds. Hemodynamic Monitoring. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-319-69269-2.
Full textA, Taylor Laura, ed. Hemodynamic waveform analysis. Philadelphia: W.B. Saunders, 1992.
Find full textPinsky, Michael R., and Didier Payen, eds. Functional Hemodynamic Monitoring. Berlin, Heidelberg: Springer Berlin Heidelberg, 2005. http://dx.doi.org/10.1007/b138257.
Full textR, Pinsky Michael, and Payen D, eds. Functional hemodynamic monitoring. Berlin: Springer, 2005.
Find full textDarovic, Gloria Oblouk. Handbook of hemodynamic monitoring. Philadelphia: Saunders, 1999.
Find full textAhrens, Thomas S. Hemodynamic waveform recognition. Philadelphia, PA: W.B. Sanunders, 1993.
Find full textDaily, Elaine Kiess. Techniques in bedside hemodynamic monitoring. 3rd ed. St. Louis: C.V. Mosby Co., 1985.
Find full textBustin, Debra. Hemodynamic monitoring for critical care. Norwalk, Conn: Appleton-Century-Crofts, 1986.
Find full textBook chapters on the topic "Hemodynamic monitoring"
Takala, Jukka. "Introduction to “Hemodynamic Monitoring”." In Hemodynamic Monitoring, 3–5. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-319-69269-2_1.
Full textSinger, Mervyn. "Mitochondrial Function." In Hemodynamic Monitoring, 97–106. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-319-69269-2_10.
Full textMcAndrew, Katherine, Maurizio Cecconi, and Andrew Rhodes. "Perioperative Haemodynamics." In Hemodynamic Monitoring, 107–15. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-319-69269-2_11.
Full textCoutrot, Maxime, Alain Combes, and Nicolas Bréchot. "Hemodynamics and Extracorporeal Circulation." In Hemodynamic Monitoring, 117–27. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-319-69269-2_12.
Full textBakker, Jan. "Clinical Assessment of Hemodynamic Instability." In Hemodynamic Monitoring, 131–45. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-319-69269-2_13.
Full textDe Backer, Daniel. "Assessment of the Microcirculation." In Hemodynamic Monitoring, 147–55. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-319-69269-2_14.
Full textMolnar, Zsolt, and Marton Nemeth. "SvO2/ScvO2." In Hemodynamic Monitoring, 157–71. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-319-69269-2_15.
Full textOspina-Tascón, Gustavo A. "The PCO2 Gaps." In Hemodynamic Monitoring, 173–90. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-319-69269-2_16.
Full textCastro, Ricardo, David Carpio, and Glenn Hernández. "Lactate." In Hemodynamic Monitoring, 191–201. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-319-69269-2_17.
Full textGeri, Guillaume, and Antoine Vieillard-Baron. "Cardiac Ultrasound Examination in Shock." In Hemodynamic Monitoring, 205–14. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-319-69269-2_18.
Full textConference papers on the topic "Hemodynamic monitoring"
Shishkina, Anna, Natalia Tarbeeva, Oksana Alimpieva, Anastasia Berdnikova, Alena Tarbeeva, and Tatiana Miasnikova. "Hemodynamics Monitoring in Sport - Using Hemodynamic Monitor for Sport Training Planning." In International Congress on Sport Sciences Research and Technology Support. SCITEPRESS - Science and and Technology Publications, 2014. http://dx.doi.org/10.5220/0005094301030110.
Full textLeonhardt, S., R. Pikkemaat, O. Stenqvist, and S. Lundin. "Electrical Impedance Tomography for hemodynamic monitoring." In 2012 34th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC). IEEE, 2012. http://dx.doi.org/10.1109/embc.2012.6345886.
Full textDentinger, A. M., and R. T. Hoctor. "Non-invasive hemodynamic state monitoring using ultrasound." In 2010 32nd Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC 2010). IEEE, 2010. http://dx.doi.org/10.1109/iembs.2010.5626322.
Full textHettrick, D. A., and D. Schwartzman. "Human feasibility study of hemodynamic monitoring via continuous intrathoracic impedance monitoring." In 2009 Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE, 2009. http://dx.doi.org/10.1109/iembs.2009.5332461.
Full textMarkulyova, Marina V., Mikhail S. Gerashchenko, Dmitry V. Papshev, Sergei I. Gerashchenko, and Leonid Y. Krivonogov. "Hemodynamic Parameters Non-Invasive Hydro-Cuff Monitoring System." In 2019 20th International Conference of Young Specialists on Micro/Nanotechnologies and Electron Devices (EDM). IEEE, 2019. http://dx.doi.org/10.1109/edm.2019.8823164.
Full textGriofa, Marc O., Rebecca Blue, Robert Friedman, Kenneth Cohen, Philip Hamski, Andrew Pal, Robert Rinehart, and Tom Merrick. "Radio Frequency Impedance Interrogation monitoring of hemodynamic parameters." In 2011 Biomedical Sciences and Engineering Conference (BSEC). IEEE, 2011. http://dx.doi.org/10.1109/bsec.2011.5872326.
Full textØyri, Karl, Stig Støa, and Erik Fosse. "A biomedical wireless sensor network for hemodynamic monitoring." In the Fifth International Conference. New York, New York, USA: ACM Press, 2010. http://dx.doi.org/10.1145/2221924.2221958.
Full textDogan, O., N. Schierbaum, J. Weidenmuller, M. Baum, T. Schroder, D. Wunsch, M. Gortz, and K. Seidl. "Miniaturized Multi Sensor Implant for Monitoring of Hemodynamic Parameters*." In 2019 41st Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC). IEEE, 2019. http://dx.doi.org/10.1109/embc.2019.8856571.
Full textMoothanchery, Mohesh, Amalina Binte Ebrahim Attia, Li Xiuting, Yew Yik Weng, Steven Thng Tien Guan, U. S. Dinish, and Malini Olivo. "Monitoring Skin Microvascular Hemodynamic Changes Using Multispectral Optoacoustic Mesoscopy." In Bio-Optics: Design and Application. Washington, D.C.: OSA, 2021. http://dx.doi.org/10.1364/boda.2021.dw4a.6.
Full textHe, Yong, Christi M. Terry, Scott A. Berceli, Alfred K. Cheung, and Yan-Ting E. Shiu. "A Longitudinal Study of Hemodynamics in a Functional Human Hemodialysis Fistula Using 3T Magnetic Resonance Imaging-Based Computational Fluid Dynamics Analysis." In ASME 2010 Summer Bioengineering Conference. American Society of Mechanical Engineers, 2010. http://dx.doi.org/10.1115/sbc2010-19569.
Full textReports on the topic "Hemodynamic monitoring"
Joyner, Michael J., and Betty Diamond. Preclinical Evaluation of a Decision Support Medical Monitoring System for Early Detection of Potential Hemodynamic Decompensation During Blood Loss in Humans. Fort Belvoir, VA: Defense Technical Information Center, September 2012. http://dx.doi.org/10.21236/ada577046.
Full textWideman, Jr., Robert F., Nicholas B. Anthony, Avigdor Cahaner, Alan Shlosberg, Michel Bellaiche, and William B. Roush. Integrated Approach to Evaluating Inherited Predictors of Resistance to Pulmonary Hypertension Syndrome (Ascites) in Fast Growing Broiler Chickens. United States Department of Agriculture, December 2000. http://dx.doi.org/10.32747/2000.7575287.bard.
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