Results 11 to 20 of about 305,661 (329)

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

open access: yesInternational 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   +5 more
semanticscholar   +1 more source

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

open access: yesComputer 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   +6 more
semanticscholar   +1 more source

The openCARP Simulation Environment for Cardiac Electrophysiology

open access: yesbioRxiv, 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   +11 more
semanticscholar   +1 more source

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

open access: yesNeuroImage, 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

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

open access: yesMedical 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   +15 more
semanticscholar   +1 more source

MXene-infused bioelectronic interfaces for multiscale electrophysiology and stimulation

open access: yesScience Translational Medicine, 2021
Description Ti3C2 MXene–based bioelectronics produced through a highly scalable process enable multiscale electrophysiology and stimulation. Better bioelectronic interfaces Scalable, soft bioelectronic interfaces could improve the ability to monitor and ...
Nicolette Driscoll   +20 more
semanticscholar   +1 more source

Visual electrophysiology and “the potential of the potentials”

open access: yesEye, 2023
视觉电生理学能直接、定量、客观地评估不同水平的视觉通路功能, 因此可获得从影像学或心理物理测试中不一定能获得的互补信息。随着技术进步和对波形神经基础的理解的加深, 现有的测试及其指南的发展有助于更精确地评估视觉同路生理学和病理生理学的改变。本文总结了视觉通路和当前的标准临床测试方法, 不完全地讨论了几个设备, 尤其关注人类视网膜电图记录。其中包括新的设备(便携式、免散瞳、多模式)、新的测试指南(包括旨在分离视杆驱动和视锥驱动反应, 和监测视网膜适应的指南), 以及建模和机器学习的使用等分析方法的发展 ...
Omar A. Mahroo
semanticscholar   +1 more source

Guidance for cardiac electrophysiology during the COVID-19 pandemic from the Heart Rhythm Society COVID-19 Task Force; Electrophysiology Section of the American College of Cardiology; and the Electrocardiography and Arrhythmias Committee of the Council on Clinical Cardiology, American Heart Associat

open access: yesHeart Rhythm, 2020
Coronavirus disease 2019 (COVID-19) is a global pandemic that is wreaking havoc on the health and economy of much of human civilization. Electrophysiologists have been impacted personally and professionally by this global catastrophe.
Dhanunjaya R. Lakkireddy   +23 more
semanticscholar   +1 more source

Electrophysiology. [PDF]

open access: yesScience (New York, N.Y.), 2010
This short chapter is intended for cardiac nurses who require a brief introduction to the specialty of cardiac electrophysiology (EP). Further reading and case observation would be required to attain a firm understanding of the technical principles and ...
Thomas Jacobsen, Stina Klein
semanticscholar   +4 more sources

Machine Learning in Arrhythmia and Electrophysiology.

open access: yesCirculation Research, 2021
Machine learning (ML), a branch of artificial intelligence, where machines learn from big data, is at the crest of a technological wave of change sweeping society.
N. Trayanova, D. Popescu, J. Shade
semanticscholar   +1 more source

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