Results 1 to 10 of about 205,545 (311)

All-Optical Electrophysiology Reveals the Role of Lateral Inhibition in Sensory Processing in Cortical Layer 1

Cell, 2020
Cortical layer 1 (L1) interneurons have been proposed as a hub for attentional modulation of underlying cortex, but the transformations that this circuit implements are not known.
Hao Wu, Linlin Fan, Simon Kheifets
exaly   +2 more sources

Electrophysiology in motion: The subspecialty of sports electrophysiology

HeartRhythm Case Reports
Paishiun Nelson Hsieh, MD, PhD, Eugene H. Chung, MD, MPH, MSci, FHRS   +1 more
doaj   +4 more sources

A mathematical model that integrates cardiac electrophysiology, mechanics, and fluid dynamics: Application to the human left heart [PDF]

International Journal for Numerical Methods in Biomedical Engineering, 2022
We propose a mathematical and numerical model for the simulation of the heart function that couples cardiac electrophysiology, active and passive mechanics and hemodynamics, and includes reduced models for cardiac valves and the circulatory system.
M. Bucelli, Alberto Zingaro, P. C. Africa, Ivan Fumagalli, L. Dede’, A. Quarteroni   +5 more
semanticscholar   +1 more source

Electrophysiology Poetry

JACC: Case Reports, 2020
Geoffrey Rubin, MD
doaj   +3 more sources

Modeling cardiac muscle fibers in ventricular and atrial electrophysiology simulations [PDF]

Computer Methods in Applied Mechanics and Engineering, 2021
Since myocardial fibers drive the electric signal propagation throughout the myocardium, accurately modeling their arrangement is essential for simulating heart electrophysiology (EP).
R. Piersanti, P. C. Africa, M. Fedele, C. Vergara, L. Dede’, A. Corno, A. Quarteroni   +6 more
semanticscholar   +1 more source

The openCARP Simulation Environment for Cardiac Electrophysiology

bioRxiv, 2021
Background and Objective Cardiac electrophysiology is a medical specialty with a long and rich tradition of computational modeling. Nevertheless, no community standard for cardiac electrophysiology simulation software has evolved yet.
G. Plank, A. Loewe, A. Neic, Christoph M. Augustin, Yung-Lin Huang, M. Gsell, E. Karabelas, Mark Nothstein, A. Prassl, Jorge Sánchez, G. Seemann, E. Vigmond   +11 more
semanticscholar   +1 more source

Relevance of Chronic Total Occlusion for Outcome of Ventricular Tachycardia Ablation in Ischemic Cardiomyopathy

Journal of Interventional Cardiology, 2022
Background. Catheter ablation of ventricular tachycardia (VT) in patients with ischemic cardiomyopathy (ICM) is an effective tool to prevent VT recurrences.
Julia Anna Lurz, Eileen Schmidt, Karl-Patrik Kresoja, Federica Torri, Sebastian König, Angeliki Darma, Arash Arya, Livio Bertagnolli, Gerhard Hindricks, Borislav Dinov   +9 more
doaj   +1 more source

A Framework for the generation of digital twins of cardiac electrophysiology from clinical 12-leads ECGs

Medical Image Anal., 2021
Cardiac digital twins (Cardiac Digital Twin (CDT)s) of human electrophysiology (Electrophysiology (EP)) are digital replicas of patient hearts derived from clinical data that match like-for-like all available clinical observations.
K. Gillette, M. Gsell, A. Prassl, E. Karabelas, U. Reiter, G. Reiter, T. Grandits, Christian Payer, Darko Štern, M. Urschler, J. Bayer, Christoph M. Augustin, A. Neic, T. Pock, E. Vigmond, G. Plank   +15 more
semanticscholar   +1 more source

Monitoring Spike Potential and Abrupt Impedance Rise with Concomitant Temperature/Contact Force Change for Timely Detection of the Occurrence of “Silent” or “Nonaudible” Steam Pop

Journal of Interventional Cardiology, 2023
Aim. Steam pop (SP) during radiofrequency catheter ablation (RFCA) for pulmonary vein isolation (PVI) may cause cardiac perforation, which may require drainage and emergent thoracotomy or even lead to death. Data investigating the timely detection of the
Chengye Di, Qun Wang, Yanxi Wu, Longyu Li, Wenhua Lin   +4 more
doaj   +1 more source

A tutorial on generalized eigendecomposition for denoising, contrast enhancement, and dimension reduction in multichannel electrophysiology [PDF]

NeuroImage, 2021
The goal of this paper is to present a theoretical and practical introduction to generalized eigendecomposition (GED), which is a robust and flexible framework used for dimension reduction and source separation in multichannel signal processing.
Michael X. Cohen
semanticscholar   +1 more source