Results 11 to 20 of about 304,643 (334)
A mathematical model that integrates cardiac electrophysiology, mechanics, and fluid dynamics: Application to the human left heart [PDF]
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
Visual electrophysiology and “the potential of the potentials”
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
The openCARP Simulation Environment for Cardiac Electrophysiology
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
MXene-infused bioelectronic interfaces for multiscale electrophysiology and stimulation
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
Guidelines for assessment of cardiac electrophysiology and arrhythmias in small animals
Cardiac arrhythmias are a major cause of morbidity and mortality worldwide. Although recent advances in cell-based models, including human-induced pluripotent stem cell-derived cardiomyocytes (iPSC-CM), are contributing to our understanding of ...
C. Ripplinger +16 more
semanticscholar +1 more source
Machine Learning in Arrhythmia and Electrophysiology.
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
Electrophysiology of ionotropic GABA receptors
GABAA receptors are ligand-gated chloride channels and ionotropic receptors of GABA, the main inhibitory neurotransmitter in vertebrates. In this review, we discuss the major and diverse roles GABAA receptors play in the regulation of neuronal ...
Erwan Sallard +2 more
semanticscholar +1 more source
Connecting and considering: Electrophysiology provides insights into comprehension.
The ability to rapidly and systematically access knowledge stored in long-term memory in response to incoming sensory information-that is, to derive meaning from the world-lies at the core of human cognition.
Kara D. Federmeier
semanticscholar +1 more source
Electrically compensated, tattoo-like electrodes for epidermal electrophysiology at scale
We demonstrate sizable, unencapsulated e-tattoos with transformable serpentine design and Cartan curve–inspired transfer. Epidermal electrophysiology is widely carried out for disease diagnosis, performance monitoring, human-machine interaction, etc ...
Youhua Wang +19 more
semanticscholar +1 more source
Study Design Narrative review. Objective The current review aimed to describe the role of existing techniques and emerging methods of imaging and electrophysiology for the management of degenerative cervical myelopathy (DCM), a common and often ...
A. Martin +14 more
semanticscholar +1 more source

