Academic literature on the topic 'Electrophysiology'

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Journal articles on the topic "Electrophysiology"

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Pope, GD. "Clinical Electrophysiology: Electrotherapy and Electrophysiologic Testing." Physiotherapy 82, no. 6 (June 1996): 379. http://dx.doi.org/10.1016/s0031-9406(05)66492-9.

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Brockway, Melinda L. "Clinical Electrophysiology Electrotherapy and Electrophysiologic Testing." Pediatric Physical Therapy 9, no. 3 (1997): 154???155. http://dx.doi.org/10.1097/00001577-199700930-00025.

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Prystowsky, Eric N. "Electrophysiology." Current Opinion in Cardiology 4, no. 1 (February 1989): 19–22. http://dx.doi.org/10.1097/00001573-198902000-00005.

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Kuck, Karl-Heinz. "Electrophysiology." Current Opinion in Cardiology 5, no. 1 (February 1990): 87–91. http://dx.doi.org/10.1097/00001573-199002000-00016.

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Wharton, J. Marcus, and Eric N. Prystowsky. "Electrophysiology." Current Opinion in Cardiology 6, no. 1 (February 1991): 40–48. http://dx.doi.org/10.1097/00001573-199102000-00006.

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Lichtman, Adam. "Electrophysiology." Journal of Cardiothoracic and Vascular Anesthesia 16, no. 3 (June 2002): 386. http://dx.doi.org/10.1016/s1053-0770(02)70048-7.

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HOLOPIGIAN, K., and D. HOOD. "Electrophysiology." Ophthalmology Clinics of North America 16, no. 2 (June 2003): 237–51. http://dx.doi.org/10.1016/s0896-1549(03)00006-3.

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HOLDER, GE. "Electrophysiology." Acta Ophthalmologica 87 (September 2009): 0. http://dx.doi.org/10.1111/j.1755-3768.2009.3424.x.

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Griffith, Boyce E., and Charles S. Peskin. "Electrophysiology." Communications on Pure and Applied Mathematics 66, no. 12 (October 9, 2013): 1837–913. http://dx.doi.org/10.1002/cpa.21484.

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Ross, Joseph F. "Applications of Electrophysiology in a Neurotoxicity Battery." Toxicology and Industrial Health 5, no. 2 (April 1989): 221–30. http://dx.doi.org/10.1177/074823378900500207.

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Electrophysiology encompasses a multifaceted group of diagnostic tests which have been validated through clinical use. These evaluate not only CNS and PNS function, but also the function of the cardiovascular system, which affects the nervous system indirectly. As the many positive attributes of these tests become more widely recognized, it seems likely that the use of electrophysiologic tests will expand in the future.
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Dissertations / Theses on the topic "Electrophysiology"

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Lionetti, Fred. "GPU accelerated cardiac electrophysiology." Diss., [La Jolla] : University of California, San Diego, 2010. http://wwwlib.umi.com/cr/ucsd/fullcit?p1474756.

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Thesis (M.S.)--University of California, San Diego, 2010.
Title from first page of PDF file (viewed April 14, 2010). Available via ProQuest Digital Dissertations. Includes bibliographical references (p. 85-89).
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Du, Peng 1985. "Mathematical modelling of gastric electrophysiology." Thesis, University of Auckland, 2011. http://hdl.handle.net/2292/10234.

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This thesis investigates the electrophysiology of the stomach, using a joint experimental and mathematical modelling approach. Normal gastrointestinal (GI) motility is coordinated by multiple cooperating mechanisms, both intrinsic and extrinsic to the GI tract. A fundamental component of the GI motility is an omnipresent electrical activity termed slow waves, which are initiated and propagated by the interstitial cells of Cajal (ICCs) and smooth muscle cells (SMCs). The role of ICC and/or SMC pathophysiology in GI motility disorders is an area of on-going research. This thesis begins with an overview of the functions of the GI tract and slow wave electrophysiology. High-resolution electrode arrays were designed and manufactured using the printed-circuit-board (PCB) technology. The performance of the PCB electrodes were validated against the performance of epoxy-embedded electrodes in porcine subjects, in terms of amplitudes (0.17 vs 0.52 mV), velocity (15.9 vs 13.8 mms-1), and signal-to-noise ratio (9.7 vs 18.7 dB). The PCB electrodes were then used to record gastric slow waves from a number of human subjects. Automatic slow wave activation times identification and velocity calculation techniques were applied to analyse the recorded slow wave data. Analysis of the human data revealed that the gastric slow wave activity originates from a pacemaker region (average amplitude: 0.57 mV ; average velocity: 8.0 mms-1) in the stomach, and continues into the corpus (average amplitude: 0.25 mV ; average velocity: 3.0 mms-1), and then the antrum (average amplitude: 0.52 mV ; average velocity: 5.7 mms-1). The focus of this thesis then shifts to mathematical models of slow wave activity. An existing SMC model was adapted to investigate the effects of gastric electrical stimulation (GES) protocols, in conjunction with experimental recordings in rat antral SMCs. The simulations using the adapted SMC model showed that effective GES protocols could be adapted to include frequency-trains (40 Hz) of short pulse- width (3-6 ms); In a separate study, an existing ICC model was adapted to include a voltage-sensitive inositol 1,4,5-trisphosphate receptor model, which modelled entrainment of slow waves in a network of ICCs; Two coupling mechanisms were also proposed to link the slow waves in the ICC and SMC models. A continuum approach was used to model slow waves in tissue and whole-organ models. The monodomain equation was used to simulate slow wave propagation in a grid of SMCs coupled to a cell automata model, which was used to quantify the entrainment of normal slow wave activity and entrainment of slow waves by a 3.5 cpm GES protocol. The simulation results demonstrated the highest 'zone of entrainment' that could be achieved by the GES protocol was 78% of the modelled tissue area; Next, the bidomain equations were applied to simulate entrainment of slow waves in a wild-type (normal) and a degraded (serotonin receptor knockout) ICC networks obtained from mouse tissue. The ICC network models demonstrated that slow wave propagation was influenced by ICC loss. In addition, compared to the degraded ICC network, the normal ICC network model demonstrated a higher peak current density (1.94 vs 1.45 μAmm-2) as well as [Ca2+]i density (0.67 vs 0.41 mM mm-2), which could help to explain functional impairments that arise when ICC populations are depleted; The human recordings were used to create slow wave activation in a whole organ stomach model. The whole organ model was used as a platform to simulate gastric slow wave propagation, as well as to incorporate physiological characteristics that could not directly measured using the HR technique, such as the variation in the resting membrane potentials of gastric tissues. The final set of modelling studies employed the forward modelling technique to simulate the resultant body surface potential, i.e., electrogastrogram (EGG) of gastric slow waves. A virtual EGG analysis showed that the frequency of EGG matched the underlying slow waves (3 cpm) and the peak potential (-0.63 mV ) in the EGG signal could be correlated to the timing of the full antral activation. This thesis concludes with a discussion on the results and potential future research directions in this field.
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Jeu, Marcel Theodorus Gerardus de. "Electrophysiology of the suprachiasmatic nucleus." [S.l. : Amsterdam : s.n.] ; Universiteit van Amsterdam [Host], 2001. http://dare.uva.nl/document/59002.

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Khosrovani, Sara. "Electrophysiology of the olivocerebellar loop." [S.l.] : Rotterdam : [The Author] ; Erasmus University [Host], 2008. http://hdl.handle.net/1765/12220.

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Malchano, Zachary John. "Image guidance in cardiac electrophysiology." Thesis, Massachusetts Institute of Technology, 2006. http://hdl.handle.net/1721.1/35515.

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Thesis (M. Eng.)--Harvard-MIT Division of Health Sciences and Technology, 2006.
MIT Institute Archives copy: Pages 101-130 bound in reverse order.
Includes bibliographical references (p. 123-130).
Cardiac arrhythmias are characterized by a disruption or abnormal conduction of electrical signals within the heart. Treatment of arrhythmias has dramatically evolved over the past half-century, and today, minimally-invasive catheter-based therapy is the preferred method of eliminating arrhythmias. Using an electroanatomical (EA) mapping system, which precisely tracks the position of catheters inside the patient's body, it is possible to construct three-dimensional maps of the ventricular and atrial chambers of the heart. Each point of these maps is annotated based on bioelectrical signals recorded from the electrodes located at the tip of the catheter. These maps are then used to guide catheter ablation within the heart. However, the electroanatomical mapping procedure results in relatively sparse sampling of the heart and a significant amount of time and skill are require to generate these maps. In this thesis, we present our software system for the integration of pre-operative, patient-specific magnetic resonance (MR) or computed tomography (CT) imaging data with real-time electroanatomical mapping (EAM) information.
(cont.) Following registration between the EAM and imaging data, the system allows for real-time catheter navigation within patient-specific anatomy. We then evaluate candidate registration strategies to rapidly and accurately align the pre-operative imaging data with the intra-operative mapping data using simulated electroanatomical mapping data using the great cardiac vessels including the aorta, superior vena cava, and coronary sinus. Based on these in vitro results, we focus on a registration strategy which is constrained by the ascending and descending aorta. In vivo prospective evaluation of the resulting image integration was then performed (n>200) in both experimental and clinical electrophysiology procedure. To compensate for residual error following registration or patient movement during a procedure, we present and evaluate warping strategies for deforming the pre-operative imaging data into agreement with the intra-operative mapping information.
by Zachary John Malchano.
M.Eng.
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Leudar, Augustine Jan Seth Maranatha Bannatyne. "Integrating plant electrophysiology and sonic art." Thesis, Queen's University Belfast, 2017. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.727419.

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This thesis accompanies a portfolio of site specific sound art installations that were delivered in the UK, Europe and South America between 2012 and 2016. The principle focus of the research is to combine plant electrophysiology and sonic art with a particular emphasis on spatial audio. By using networks of electrodes, audio spatialisation and various artistic techniques, electrical activity in the biosphere was made tangible through sound in real-time. Installations based on this research were presented at public events, immersing listeners in the complexity of these processes. Bespoke software was created to meet creative and technical objectives. Sound installations were created that were designed to stand as works of art in their own right regardless of whether or not the audience knew there was a scientific component to the piece; at the same time new approaches to monitoring electrical activity in plants were developed. A description of how these two elements are combined and how scientific needs influence artistic work and vice versa is given. The principle object of this research is not to gather qualitative or quantitative data, but to convert signals into sound in real-time and create art installations that engender a space where independent elements of both disciplines can merge as well as develop independently from each other. Technical and artistic gaps in the field are identified through the literature review and addressed in the installations. The software created forms a bridge between the creative and the technical side of the research and is described by means of videos. This commentary is accompanied by a USB stick that has relevant software and audio documentation. It also includes an offline website which contains important information such as videos, and is referred to throughout the text and forms an essential component of the thesis.
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Roy, Thomas. "Time-Stepping Methods in Cardiac Electrophysiology." Thesis, Université d'Ottawa / University of Ottawa, 2015. http://hdl.handle.net/10393/32626.

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Modelling in cardiac electrophysiology results in a complex system of partial differential equations (PDE) describing the propagation of the electrical wave in the heart muscle coupled with a highly nonlinear system of ordinary differential equations (ODE) describing the ionic activity in the cardiac cells. This system forms the widely accepted bidomain model or its slightly simpler version, the monodomain model. To a large extent, the stiffness of the whole model depends on the choice of the ionic model, which varies in terms of complexity and realism. These simulations require accurate and, depending on the ionic model used, possibly very stable numerical methods. At this time, solving these models numerically requires CPU time of around one day per heartbeat. Therefore, it is necessary to use the most efficient method for these simulations. This research focuses on the comparison and analysis of several time-stepping methods: explicit or semi-implicit, operator splitting, deferred correction and Rush-Larsen methods. The goal is to find the optimal method for the ionic model used. For our analysis, we used the monodomain model but our results apply to the bidomain model as well. We compare the methods for three ionic models of varying complexity and stiffness: the Mitchell-Schaeffer models with only 2 variables, the more realistic Beeler-Reuter model with 8 variables, and the stiff and very complex ten Tuscher-Noble-Noble-Panfilov (TNNP) models with 17 variables. For each method, we derived absolute stability criteria of the spatially discretized monodomain model and verified that the theoretical critical time steps obtained closely match the ones in numerical experiments. Convergence tests were also conducted to verify that the numerical methods achieve an optimal order of convergence on the model variables and derived quantities (such as speed of the wave, depolarization time), and this in spite of the local non-differentiability of some of the ionic models. We looked at the efficiency of the different methods by comparing computational times for similar accuracy. Conclusions are drawn on the methods to be used to solve the monodomain model based on the model stiffness and complexity, measured respectively by the most negative eigenvalue of the model's Jacobian and the number of variables, and based on strict stability and accuracy criteria.
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Wang, Linwei. "Noninvasive imaging of 3D cardiac electrophysiology /." View abstract or full-text, 2007. http://library.ust.hk/cgi/db/thesis.pl?ECED%202007%20WANGL.

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Blaetz, Taylor S. "The Electrophysiology of Written Informal Language." TopSCHOLAR®, 2015. http://digitalcommons.wku.edu/theses/1513.

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Language is an essential component of human behavior. It is ubiquitous, but more importantly, it is malleable and it is constantly changing. Part of the dynamic nature of informal communication is the introduction and adoption of new linguistic elements. Online communication provides a window into this informal public discourse; therefore, it may be useful for testing hypotheses about the processes underlying the acquisition and use of new words. The comprehension of informal language may lead to an understanding of how these new informal words are integrated into our mental lexicon. The current study was an electroencephalographic (EEG) investigation of the brain processes that underlie informal language. We recorded event-related potentials while participants engaged in a lexical decision task. For this experiment, participants made judgments about Twitter targets primed with semantically related or unrelated words. Classic psycholinguistic studies have shown very specific event-related potentials (ERPs) for semantic processing. Most notably, the N400 event-related potential component is an index of lexical expectancy and semantic relatedness. In contrast to the literature, we did not find classic N400 priming effects. However, our results revealed marked differences between informal and traditional targets. Our results suggest that informal language is more difficult to process than traditional language.
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Morris, Andrew Paul. "The electrophysiology of mammalian salivary glands." Thesis, University of Liverpool, 1988. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.279746.

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Books on the topic "Electrophysiology"

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Lynn, Snyder-Mackler, ed. Clinical electrophysiology: Electrotherapy and electrophysiologic testing. 2nd ed. Baltimore: Williams & Wilkins, 1995.

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Robinson, Andrew J., Ph. D., ed. Clinical electrophysiology: Electrotherapy and electrophysiologic testing. Baltimore: Williams & Wilkins, 1989.

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Rettinger, Jürgen, Silvia Schwarz, and Wolfgang Schwarz. Electrophysiology. Cham: Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-030-86482-8.

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Rettinger, Jürgen, Silvia Schwarz, and Wolfgang Schwarz. Electrophysiology. Cham: Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-30012-2.

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service), SpringerLink (Online, ed. Plant Electrophysiology: Methods and Cell Electrophysiology. Berlin, Heidelberg: Springer Berlin Heidelberg, 2012.

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Parikh, Milind G. Cardiac Electrophysiology. Cham: Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-030-75326-9.

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Volkov, Alexander G., ed. Plant Electrophysiology. Berlin, Heidelberg: Springer Berlin Heidelberg, 2006. http://dx.doi.org/10.1007/978-3-540-37843-3.

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Kaplan, Peter W., and Thien Nguyen. Clinical Electrophysiology. Oxford, UK: Wiley-Blackwell, 2010. http://dx.doi.org/10.1002/9781444322972.

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Volkov, Alexander G., ed. Plant Electrophysiology. Berlin, Heidelberg: Springer Berlin Heidelberg, 2012. http://dx.doi.org/10.1007/978-3-642-29110-4.

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Volkov, Alexander G., ed. Plant Electrophysiology. Berlin, Heidelberg: Springer Berlin Heidelberg, 2012. http://dx.doi.org/10.1007/978-3-642-29119-7.

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Book chapters on the topic "Electrophysiology"

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Nix, Wilfred A. "Electrophysiology." In Muscles, Nerves, and Pain, 37–40. Berlin, Heidelberg: Springer Berlin Heidelberg, 2017. http://dx.doi.org/10.1007/978-3-662-53719-0_3.

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Thies, Roger. "Electrophysiology." In Oklahoma Notes, 1–28. New York, NY: Springer New York, 1995. http://dx.doi.org/10.1007/978-1-4612-4198-0_1.

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Nix, Wilfred A. "Electrophysiology." In Muscles, Nerves, and Pain, 37–40. Berlin, Heidelberg: Springer Berlin Heidelberg, 2012. http://dx.doi.org/10.1007/978-3-642-25443-7_4.

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Xu, Zhi-Qing David. "Electrophysiology." In Methods in Molecular Biology, 181–89. Totowa, NJ: Humana Press, 2011. http://dx.doi.org/10.1007/978-1-61779-310-3_11.

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Bailey, Michael S., and Anne B. Curtis. "Electrophysiology." In Coronary Disease in Women, 285–95. Totowa, NJ: Humana Press, 2004. http://dx.doi.org/10.1007/978-1-59259-645-4_19.

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Person, Robert J., Roger Thies, and Robert W. Blair. "Electrophysiology." In Oklahoma Notes, 1–23. New York, NY: Springer US, 1987. http://dx.doi.org/10.1007/978-1-4684-0292-6_1.

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Person, Robert J., Roger Thies, and Robert W. Blair. "Electrophysiology." In Oklahoma Notes, 1–25. New York, NY: Springer US, 1989. http://dx.doi.org/10.1007/978-1-4684-0342-8_1.

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Thies, Roger. "Electrophysiology." In Oklahoma Notes, 1–27. New York, NY: Springer US, 1992. http://dx.doi.org/10.1007/978-1-4684-0522-4_1.

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Machemer, Hans. "Electrophysiology." In Paramecium, 185–215. Berlin, Heidelberg: Springer Berlin Heidelberg, 1998. http://dx.doi.org/10.1007/978-3-642-73086-3_13.

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Dominguez, Vanessa, and Adam J. Woods. "Electrophysiology." In Encyclopedia of Gerontology and Population Aging, 1–5. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-319-69892-2_670-1.

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Conference papers on the topic "Electrophysiology"

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"MongoDB for Electrophysiology Experiments." In International Conference on Health Informatics. SCITEPRESS - Science and and Technology Publications, 2014. http://dx.doi.org/10.5220/0004903604220427.

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Jurak, Pavel, Josef Halamek, Pavel Leinveber, Filip Plesinger, Ivo Viscor, Vlastimil Vondra, Magdalena Matejkova, and Jolana Lipoldova. "High-Frequency Cardiac Electrophysiology." In 2019 12th International Conference on Measurement. IEEE, 2019. http://dx.doi.org/10.23919/measurement47340.2019.8780076.

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Varadharajan, Srinivasa, Vasudevan Lakshminarayanan, Kathleen Fitzgerald, and Michael Crognale. "Wavelet Applications in Electrophysiology." In Vision Science and its Applications. Washington, D.C.: OSA, 2000. http://dx.doi.org/10.1364/vsia.2000.fd4.

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Qiao, Qing-li. "Electrophysiology course with quantitative method." In Education (ITIME). IEEE, 2009. http://dx.doi.org/10.1109/itime.2009.5236332.

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Katekarn, Sujitra, Noppadon Sisuk, Teonchit Nuamchit, Kanjana Jittiporn, and Janjira Payakpate. "Studying Cardiac Electrophysiology via EPSSIM." In 2023 20th International Joint Conference on Computer Science and Software Engineering (JCSSE). IEEE, 2023. http://dx.doi.org/10.1109/jcsse58229.2023.10202074.

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Pormann, J. B., C. S. Henriquez, J. A. Board, D. J. Rose, D. M. Harrild, and A. P. Henriquez. "Computer Simulations of Cardiac Electrophysiology." In ACM/IEEE SC 2000 Conference. IEEE, 2000. http://dx.doi.org/10.1109/sc.2000.10032.

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Peters, T. M. "Electrophysiology-guided deep brain neurosurgery." In 2005 IEEE Engineering in Medicine and Biology 27th Annual Conference. IEEE, 2005. http://dx.doi.org/10.1109/iembs.2005.1616181.

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Halfar, Radek. "Finding chaos in cardiac electrophysiology." In 11TH INTERNATIONAL CONFERENCE ON MATHEMATICAL MODELING IN PHYSICAL SCIENCES. AIP Publishing, 2023. http://dx.doi.org/10.1063/5.0164155.

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Linwei Wang, Heye Zhang, K. C. L. Wong, Huafeng Liu, and Pengcheng Shi. "Noninvasive volumetric imaging of cardiac electrophysiology." In 2009 IEEE Conference on Computer Vision and Pattern Recognition (CVPR). IEEE, 2009. http://dx.doi.org/10.1109/cvprw.2009.5206717.

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Ježek, Petr, Roman Moucek, Jakub Krauz, Jaroslav Hošek, Yann Le Franc, Thomas Wachtler, and Jan Grewe. "Framework for Collection of Electrophysiology Data." In International Conference on Health Informatics. SCITEPRESS - Science and and Technology Publications, 2015. http://dx.doi.org/10.5220/0005275605580565.

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Reports on the topic "Electrophysiology"

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Cao, Siyang, Yihao Wei, Tiantian Qi, Peng Liu, Yingqi Chen, Fei Yu, Hui Zeng, and Jian Weng. Stem cell therapy for peripheral nerve injury: An up-to-date meta-analysis of 55 preclinical researches. INPLASY - International Platform of Registered Systematic Review and Meta-analysis Protocols, October 2022. http://dx.doi.org/10.37766/inplasy2022.10.0083.

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Review question / Objective: It has been the gold standard for decades to reconstruct a large peripheral nerve injury with a nerve autograft, and this remains true today as well. In addition to nerve autografts, biological conduits and vessels can also be applied. A fair amount of studies have examined the benefits of adding stem cells to the lumen of a nerve conduit. The aim of this meta-analysis was to summarize animal experiments related to the utilization of stem cells as a luminal additive when rebuilding a peripheral nerve injury using nerve grafts. Eligibility criteria: The inclusion criteria were as following: 1.Reconstruction of peripheral nerve injury; 2.Complete nerve transection with gap defect created; 3.Animal in-vivo models; 4.Experimental comparisons between nerve conduits containing and not containing one type of stem cell; 5.Functional testing and electrophysiology evaluations are performed. The exclusion criteria were as following: 1.Repair of central nervous system; 2.Nerve repair is accomplished by end-to-end anastomosis; 3.Animal models of entrapment injuries, frostbite, traction injuries and electric injuries; 4.Nerve conduits made from autologous epineurium; 5.Clinical trials, reviews, letters, conference papers, meta-analyses or commentaries; 6.Same studies have been published in different journals under the same or a different title.
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Rodriguez, Juan F., Poojan Prajapati, Rajvi Gajendra Chaudhary, Hema Srikanth Vemulapalli, Padmapriya Muthu, Aria Raman, and Komandoor Srivathsan. Electrophysiologic Characteristics, Outcomes and Potential Predictors of Acute Success After Ventricular Tachycardia Ablation in Patients with Cardiac Sarcoidosis: Systematic Literature Review and Meta-Analysis. INPLASY - International Platform of Registered Systematic Review and Meta-analysis Protocols, August 2024. http://dx.doi.org/10.37766/inplasy2024.8.0064.

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