Academic literature on the topic 'Mean electrical Axis'
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Journal articles on the topic "Mean electrical Axis"
Kuhn, Lisa, and Louise Rose. "ECG Interpretation Part 1: Understanding Mean Electrical Axis." Journal of Emergency Nursing 34, no. 6 (December 2008): 530–34. http://dx.doi.org/10.1016/j.jen.2008.01.007.
Full textBROJBĂ, Cristian. "Determination of the Mean Electrical Axis in Dogs and Cats (Mini-Review)." Bulletin of University of Agricultural Sciences and Veterinary Medicine Cluj-Napoca. Veterinary Medicine 75, no. 1 (May 19, 2018): 137. http://dx.doi.org/10.15835/buasvmcn-vm:004717.
Full textAnderson, J., and S. E. DiCarlo. ""Virtual" experiment for understanding the electrocardiogram and the mean electrical axis." Advances in Physiology Education 23, no. 1 (June 2000): S1–17. http://dx.doi.org/10.1152/advances.2000.23.1.s1.
Full textCARNABUCI, Cristina, Rosalba TOGNETTI, Tommaso VEZZOSI, Federica MARCHESOTTI, Valentina PATATA, and Oriol DOMENECH. "Left shift of the ventricular mean electrical axis in healthy Doberman Pinschers." Journal of Veterinary Medical Science 81, no. 4 (2019): 620–25. http://dx.doi.org/10.1292/jvms.18-0699.
Full textda Costa, Cássia Fré, Nelson Samesima, and Carlos Alberto Pastore. "Cardiac Mean Electrical Axis in Thoroughbreds—Standardization by the Dubois Lead Positioning System." PLOS ONE 12, no. 1 (January 17, 2017): e0169619. http://dx.doi.org/10.1371/journal.pone.0169619.
Full textCooper, R., J. J. McGrath, S. Dooley, and M. T. Kopetzky. "Chronic exposure to carbon monoxide at high altitude: Effects on mean electrical axis." Physiology & Behavior 46, no. 1 (July 1989): 75–79. http://dx.doi.org/10.1016/0031-9384(89)90325-9.
Full textBrestenský, J., S. Ševčík, and L. Rosenberg. "Mean Electromotive Force Due to Magnetoconvection in Rotating Horizontal Layer in Dependence on Boundary Conditions." Symposium - International Astronomical Union 157 (1993): 457–61. http://dx.doi.org/10.1017/s0074180900174625.
Full textSousa, Marlos G., Mariana C. H. Rondelli, Sheila S. S. Nogueira, and Roberta Carareto. "Influence of body position on the measurement of electrocardiographic waves in healthy dogs." Pesquisa Veterinária Brasileira 38, no. 2 (February 2018): 340–44. http://dx.doi.org/10.1590/1678-5150-pvb-5071.
Full textFathi, M. B., and S. A. Jafari. "Dynamical mean field theory equations on nearly real frequency axis." Physica B: Condensed Matter 405, no. 6 (March 2010): 1658–61. http://dx.doi.org/10.1016/j.physb.2009.12.063.
Full textSanyal, Sagar, Pradip Kumar Das, Probal Ranjan Ghosh, Kinsuk Das, Kezha V. Vupru, Chandan Rajkhowa, and Mohan Mondal. "Electrocardiogram of Clinically Healthy Mithun (Bos frontalis): Variation among Strains." Veterinary Medicine International 2010 (2010): 1–8. http://dx.doi.org/10.4061/2010/790310.
Full textDissertations / Theses on the topic "Mean electrical Axis"
Abbasi, Mayar. "Semi automation of mean axis of rotation (MAR) analysis." Thesis, McGill University, 2013. http://digitool.Library.McGill.CA:80/R/?func=dbin-jump-full&object_id=119364.
Full textL'axe de rotation moyen (MAR) L'analyse est une méthode d'analyse utilisée pour diagnostiquer les problèmes de la colonne vertébrale cervicale. Les chercheurs ont montré que de nombreux symptômes du patient peuvent être corrélés à MAR placement anormal [1], ce qui rend MAR analyse un outil important dans le diagnostic médical. Cependant, la méthode actuelle de calcul de la MAR pour un seul patient est manuelle, et très vaste du travail, rendant ainsi impossible d'utiliser l'analyse MAR dans un cadre clinique général.Ce travail présente un outil de vision par ordinateur qui effectue l'analyse MAR d'une manière semi-automatique, ce qui réduit considérablement l'effort requis par la procédure manuelle. Bien que les résultats montrent que des recherches supplémentaires sont nécessaires pour améliorer les résultats de la précision de l'outil semi-automatique MAR, les résultats globaux montrent une économie de 90% de l'effort, tout en obtenant une haute précision.L'effort principal nécessaire à l'outil semi-automatique MAR consiste à tracer manuellement les vertèbres sur les radiographies. Afin de réduire cet effort, nous explorons les approches de segmentation automatique des vertèbres dans la deuxième partie de ce travail. Alors que la segmentation entièrement automatique n'est pas atteinte, un outil de segmentation semi-automatique est présenté, ce qui réduit l'effort de tracer une vertèbre en moyenne de 65%. L'outil fait une segmentation de la totalité de l'image en régions Super- pixels, puis fusionne de manière proactive des régions similaires de l'objet désiré jusqu'à ce qu'il soit segmenté. La précision de cette méthode dépend de la précision de la segmentation initiale en super-pixel, et actuellement ce n'est pas assez précis pour être utilisés pour l'analyse MAR. Cependant, l'outil de segmentation semi-automatique représente quand même une grande amélioration par rapport aux autres approches de segmentation sur les images médicales à faible contraste, bruyant.
Stefan, Maisterow Taisa. "Variación del eje eléctrico medio en función al posicionamiento del paciente durante el registro electrocardiográfico." Bachelor's thesis, Universidad Ricardo Palma, 2016. http://cybertesis.urp.edu.pe/handle/urp/822.
Full textBook chapters on the topic "Mean electrical Axis"
"Appendix 3: Mean Electrical Axis." In Guide to Canine and Feline Electrocardiography, 381–86. Chichester, UK: John Wiley & Sons, Ltd, 2018. http://dx.doi.org/10.1002/9781119254355.app3.
Full textGarcia-Rodriguez, Luis-Fernando, Juan Diego Rosero Ariza, Jorge Luis Chacón Velazco, and Julian Ernesto Jaramillo Ibarra. "Vertical Axis Wind Turbine Design and Installation at Chicamocha Canyon." In Entropy and Exergy in Renewable Energy [Working Title]. IntechOpen, 2021. http://dx.doi.org/10.5772/intechopen.99374.
Full textMondal, Sibabrata, and Dipankar Bose. "Evaluation of Surface Roughness in Wire Electrical Discharge Turning Process." In Machine Learning Applications in Non-Conventional Machining Processes, 114–36. IGI Global, 2021. http://dx.doi.org/10.4018/978-1-7998-3624-7.ch008.
Full textNewnham, Robert E. "Stress and strain." In Properties of Materials. Oxford University Press, 2004. http://dx.doi.org/10.1093/oso/9780198520757.003.0012.
Full text"coils is also presented in Section 2. The simulation produced by the Helmholtz coils, which damages the results about the optimum parameter for Helmholtz uniform magnetic field. Therefore, theoretical coils are presented in Section 3. Finally, conclusion parameters of Helmholtz coils cannot be used and further work are outlined in Section 4. directly in edge detection. By extracting temperature information using COMSOL via the AC/DC module, we can confirm which optimum parameters 2 METHODOLOGY AND EXPERIMENT SETUP of Helmholtz coils can produce most effective Helmholtz coils are a special arrangement of air-excitation for edge detection. cored coils, and they are all used as a means of This simulation is conducted using COMSOL generating magnetic fields that are uniform over a multiphysics FEM simulation software via the volume (Cakir ). According to Biot-Savart AC/DC module. Fig. 1 shows the constitution of law, magnetic flux density at any point on the axis of Helmholtz coils testing, where r is the minor radius Helmholtz coils can be calculated from Equation (1) of Helmholtz coils, r is the major radius of (Bronaugh ): Helmholtz coils, h is the sample height, d is the N Ir N Ir distance between Helmholtz coils edge and sample H H H (1) edge, and z is the distance between Helmholtz coils. 2 r a 2 r a The physical characteristics of the model to be simulated and studied are given in Table 1. The According to the definition of Helmholtz coils, geometry of the sample is 40502 mm ; the r r r , N N 1 and 2a 2a r . major and minor radii of Helmholtz coils are equal Using Taylor series expansion and calculating the to 10 mm and 2 mm, respectively, and the turns differential of H (0) (when z 0 ), after some equal 1. The excitation module is a small period (0.3 s) of high-frequency current (256 kHz). manipulation, Equation (1) becomes Table 1. Electrical and thermal parameters for steel 144 z used in the simulation H ( z ) H (0) 1 125 r (2) ." In Structural Health Monitoring and Integrity Management, 200–202. CRC Press, 2015. http://dx.doi.org/10.1201/b18510-65.
Full textConference papers on the topic "Mean electrical Axis"
Le, Kjell, Trygve Eftestøl, Kjersti Engan, Øyunn Kleiven, and Stein Ørn. "Invariant Mean Electrical Axis in Electrocardiogram." In 2018 Computing in Cardiology Conference. Computing in Cardiology, 2018. http://dx.doi.org/10.22489/cinc.2018.151.
Full textOnol, A. O., U. Sancar, A. Onat, and S. Yesilyurt. "Model Predictive Control for Energy Maximization of Small Vertical Axis Wind Turbines." In ASME 2015 Dynamic Systems and Control Conference. American Society of Mechanical Engineers, 2015. http://dx.doi.org/10.1115/dscc2015-9891.
Full textKo, Sung Hee, Horim Lee, and Kwan Hyoung Kang. "Hydrodynamic Flows in Electrowetting." In ASME 2008 First International Conference on Micro/Nanoscale Heat Transfer. ASMEDC, 2008. http://dx.doi.org/10.1115/mnht2008-52059.
Full textBidault, Florence, Chin-Pun Teng, and Jorge Angeles. "Structural Optimization of a Spherical Parallel Manipulator Using a Two-Level Approach." In ASME 2001 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. American Society of Mechanical Engineers, 2001. http://dx.doi.org/10.1115/detc2001/dac-21030.
Full textO’Hern, T. J., S. M. Trujillo, J. B. Oelfke, P. R. Tortora, and S. L. Ceccio. "Solids-Loading Measurements in a Gas-Solid Riser." In ASME 2004 Heat Transfer/Fluids Engineering Summer Conference. ASMEDC, 2004. http://dx.doi.org/10.1115/ht-fed2004-56602.
Full textFortunato, Bernardo, Sergio Mario Camporeale, Marco Torresi, Davide De Fazio, and Mauro Giordani. "Experimental Results of a Vertical Axis Wind Turbine." In ASME 2010 10th Biennial Conference on Engineering Systems Design and Analysis. ASMEDC, 2010. http://dx.doi.org/10.1115/esda2010-25251.
Full textJericha, H., E. Göttlich, T. Selic, and W. Sanz. "Novel Vertical-Axis Wind Turbine With Articulated Blading." In ASME Turbo Expo 2012: Turbine Technical Conference and Exposition. American Society of Mechanical Engineers, 2012. http://dx.doi.org/10.1115/gt2012-68969.
Full textTasch, U., P. Moubarak, W. Tang, L. Zhu, R. M. Lovering, J. Roche, and R. J. Bloch. "An Instrument That Simultaneously Measures Spatiotemporal Gait Parameters and Ground Reaction Forces of Locomoting Rats." In ASME 2008 9th Biennial Conference on Engineering Systems Design and Analysis. ASMEDC, 2008. http://dx.doi.org/10.1115/esda2008-59085.
Full textVratny, Patrick C., Sascha Kaiser, Arne Seitz, and Stefan Donnerhack. "Performance Investigation of Cycle-Integrated Parallel Hybrid Turboshafts." In ASME Turbo Expo 2016: Turbomachinery Technical Conference and Exposition. American Society of Mechanical Engineers, 2016. http://dx.doi.org/10.1115/gt2016-57539.
Full textSracic, Michael W., Jordan D. Petrie, Henry A. Moroder, Ryan T. Koniecko, Andrew R. Abramczyk, and Kamlesh Suthar. "Acoustic Pressure Fields Generated With a High Frequency Acoustic Levitator." In ASME 2017 International Mechanical Engineering Congress and Exposition. American Society of Mechanical Engineers, 2017. http://dx.doi.org/10.1115/imece2017-71849.
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