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Microengineered platforms for characterizing the contractile function of in vitro cardiac models
Emerging heart-on-a-chip platforms are promising approaches to establish cardiac cell/tissue models in vitro for research on cardiac physiology,...
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Automated Classification of Cardiac Arrhythmias
Early detection of cardiac arrhythmia is of great importance both for the patients and the cardiologist for proper treatment. The detection is...
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Cardiac flow velocity measurement with magnetic resonance for simulation by finite volumes
This study aims to analyze methods that facilitate the measurement and acquisition of flow velocities in the great thoracic vessels using a...
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Remote Cardiac System Monitoring Using 6G-IoT Communication and Deep Learning
Remote patient monitoring has recently been popularised due to advanced technological innovations. The advent of the Sixth Generation Internet of...
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Cardiac Mechanics I: Fluid Dynamics in the Cardiac Chambers
This chapter starts by introducing the general electromechanical cycle of the beating heart. It sketches out the connection between the electric...
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Estimation of Cardiac Output in Insect Hearts Paced at Different Rates
Insects have been often used as experimental animal models because of their considerable genetic homology with humans, short lifespan and low-cost...
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Cardiac MRI Semantic Segmentation for Ventricles and Myocardium Using Deep Learning
Automated noninvasive medical diagnosis of the heart is necessary for early detection of cardiac disorders and cost-effective management. Automated...
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Right Ventricle Volumetric Measurement Techniques for Cardiac MR Images
Cardiac disease diagnosis is very important domain in biomedical and technological innovations. The right ventricle (RV) volumetric analysis is...
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Improving the Efficiency of Automatic Cardiac Arrhythmias Classification by a Novel Patient-Specific Feature Space Map**
In this paper, a novel method is introduced to diagnose the cardiac arrhythmias. Automatic diagnosis of cardiac arrhythmias is crucial for successful...
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Automated ECG Signals Analysis for Cardiac Abnormality Detection and Classification
The electrocardiogram (ECG) is a critical, non-invasive tool for diagnosing cardiovascular diseases, offering insights into heart function. However,...
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Effects of myocardial sheetlet sliding on left ventricular function
Left ventricle myocardium has a complex micro-architecture, which was revealed to consist of myocyte bundles arranged in a series of laminar...
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Deep Spectral Time-Variant Feature Analytic Model for Cardiac Disease Prediction Using Soft Max Recurrent Neural Network in WSN-IoT
Cardiac disease analysis in big data is an emerging factor for human health protection against heart attacks. Most cardiovascular diseases lead to...
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A coupling strategy for a first 3D-1D model of the cardiovascular system to study the effects of pulse wave propagation on cardiac function
A key factor governing the mechanical performance of the heart is the bidirectional coupling with the vascular system, where alterations in vascular...
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An isogeometric analysis framework for ventricular cardiac mechanics
The finite element method (FEM) is commonly used in computational cardiac simulations. For this method, a mesh is constructed to represent the...
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Assessment of LV Myocardial Function in Aortic Stenosis Using Personalized 3D+ Time Cardiac MRI Modelling
Left ventricular hypertrophy (LVH) in aortic stenosis (AS) is known as an adaptive response affected by pressure overload as a result of the...
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Cardiac Mechanics II: Heart Valves
Cardiac valves represent fundamental elements of cardiac function which directly interact with blood flow. The fluid dynamics of the aortic valve and...
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Understanding Cardiac Blood Flow
Starting with Kilner’s MRI defining normal blood flow and extending detailed imaging in 2000, rapid advances in identifying the origin of blood in...
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Abnormal Cardiac Condition Classification of ECG Using 3DCNN - A Novel Approach
The automated ECG data analysis identifies patients with cardiac problems, thereby ensuring accuracy, saving time and medical resources. This article...
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Deep-Learning Based Automatic Determination of Cardiac Planes in Survey MRI Data
Inference of the radiological planes of the heart in MRI is a crucial step for valid data acquisition to examine the structure and function of the...
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Intelligent control of cardiac rhythms using artificial neural networks
Cardiac rhythms are related to heart electrical activity, being an essential aspect of the cardiovascular physiology. Usually, these rhythms are...
