Abstractin adult typical atrioventricular nodal reentrant tachycardia (AVNRT) consider most common paroxysmalsupraventricular tachycardia. Dual pathway idea still accepted and used widely and commonly. According tothe guide line, ablations of slow pathway still the first treatment with good success rate.Identify the electrophysiological difference of atrioventricular nodal pathways pre and post ablation.Electrophysiological study was done to 54 patients with only typical type AVNRTs; they were 40 (74%)females and 14 (26%) males. Divided into two groups G1 with 38 patients (70.4%) having one pathway andG2 with 16 patients (29.6%) with multiple pathway. After induction we study the clinical andelectrophysiological feature of tachycardia and showed faster tachycardia in G1 than G2 (330 ±56 versus 430±67). And the time per minute to achieve ablation or end point more in G2 than G1 (82±12.4 G2 versus71±11.6 G1) with more energy applied in G2 versus G1 (12.4± 4.8 versus 6.3± 3.2). Complete ablation of theslow pathway was achieve in 37(69%) of total patients and only modulation occur in 17 (31%) with variationbetween two groups. And block not recorded in this study.In patient with typical AVNRTs there is percentage of multiple AV pathways 29.6%, and during EPprocedure those need good interpretation, analysis of tachycardia after induction, pre and post ablation, andalso they need more time and energy for elimination of slow pathway as well as the used of mapping system tolocalized the His area before ablation is of value to prevent AV nodal injury (PDF) Dual and Multiple AV Nodal Pathways, What is The Deference in Typical Atrioventricular Nodal Reentrant Tachycardia. Available from: https://www.researchgate.net/publication/361710553_Dual_and_Multiple_AV_Nodal_Pathways_What_is_The_Deference_in_Typical_Atrioventricular_Nodal_Reentrant_Tachycardia [accessed Sep 01 2022].
The current study performs an explicit nonlinear finite element simulation to predict temperature distribution and consequent stresses during the friction stir welding (FSW) of AA 7075-T651 alloy. The ABAQUS® finite element software was used to model and analyze the process steps that involve plunging, dwelling, and traverse stages. Techniques such as Arbitrary Lagrangian–Eulerian (ALE) formulation, adaptive meshing, and computational feature of mass scaling were utilized to simulate sequence events during the friction stir welding process. The contact between the welding tool and workpiece was modelled through applying Coulomb’s friction model with a nonlinear friction coefficient value. Also, the model considered the effect of nonlin
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