Results 51 to 60 of about 1,456,788 (269)

Arrhythmias May Hide a Genetic Cardiomyopathy in Left Ventricular Hypertrabeculation in Children: A Single-Center Experience

open access: yesChildren
Background. Left ventricular hypertrabeculation (LVHT) is a myocardial disorder with different clinical manifestations, from total absence of symptoms to heart failure, arrhythmias, sudden cardiac death (SCD), and thromboembolic events. It is challenging
Irma Battipaglia   +7 more
doaj   +1 more source

Interpreting Deep Neural Networks for Single-Lead ECG Arrhythmia Classification [PDF]

open access: yesarXiv, 2020
Cardiac arrhythmia is a prevalent and significant cause of morbidity and mortality among cardiac ailments. Early diagnosis is crucial in providing intervention for patients suffering from cardiac arrhythmia. Traditionally, diagnosis is performed by examination of the Electrocardiogram (ECG) by a cardiologist. This method of diagnosis is hampered by the
arxiv  

Materials Advances in Devices for Heart Disease Interventions

open access: yesAdvanced Materials, EarlyView.
This review examines the crucial role of materials in heart disease interventions, focusing on strategies for monitoring, managing, and repairing heart conditions. It discusses the material requirements for medical devices, highlighting recent innovations and their impact on cardiovascular health.
Gagan K. Jalandhra   +11 more
wiley   +1 more source

Calmodulinopathy: Functional Effects of CALM Mutations and Their Relationship With Clinical Phenotypes

open access: yesFrontiers in Cardiovascular Medicine, 2018
In spite of the widespread role of calmodulin (CaM) in cellular signaling, CaM mutations lead specifically to cardiac manifestations, characterized by remarkable electrical instability and a high incidence of sudden death at young age.
Beatrice Badone   +8 more
doaj   +1 more source

Convolutional neural network for classification of eight types of arrhythmia using 2D time–frequency feature map from standard 12-lead electrocardiogram

open access: yesScientific Reports, 2021
Electrocardiograms (ECGs) are widely used for diagnosing cardiac arrhythmia based on the deformation of signal shapes due to changes in various heart diseases.
Da Un Jeong, Ki Moo Lim
doaj   +1 more source

Cardiac Adipose Tissue Segmentation via Image-Level Annotations [PDF]

open access: yesarXiv, 2022
Automatically identifying the structural substrates underlying cardiac abnormalities can potentially provide real-time guidance for interventional procedures. With the knowledge of cardiac tissue substrates, the treatment of complex arrhythmias such as atrial fibrillation and ventricular tachycardia can be further optimized by detecting arrhythmia ...
arxiv  

Using skewness and the first-digit phenomenon to identify dynamical transitions in cardiac models [PDF]

open access: yesFrontiers in Physiology 6, 390 (2016), 2015
Disruptions in the normal rhythmic functioning of the heart, termed as arrhythmia, often result from qualitative changes in the excitation dynamics of the organ. The transitions between different types of arrhythmia are accompanied by alterations in the spatiotemporal pattern of electrical activity that can be measured by observing the time-intervals ...
arxiv   +1 more source

Intrinsically Soft Implantable Electronics for Long‐term Biosensing Applications

open access: yesAdvanced Sensor Research, EarlyView.
Intrinsically soft implantable biosensors address the mechanical mismatch of conventional rigid implants, improving biocompatibility and stability. This review explores soft encapsulation matrices, stretchable conductors, implantation strategies, and chronic fixation techniques.
Su Hyeon Lee   +5 more
wiley   +1 more source

Proarrhythmia associated with antiarrhythmic drugs: a comprehensive disproportionality analysis of the FDA adverse event reporting system

open access: yesFrontiers in Pharmacology, 2023
Objective: This study aimed to identify the different associations between antiarrhythmic drugs (AADs) and arrhythmias, and to determine whether pharmacokinetic drug interactions involving AADs increase the risk of AAD-related arrhythmias compared to ...
Feifei Wang   +3 more
doaj   +1 more source

Mathematical and Preclinical Investigation of Respiratory Sinus Arrhythmia Effects on Cardiac Output [PDF]

open access: yesarXiv, 2020
Respiratory sinus arrhythmia (RSA) is heart rate variability in synchrony with respiration although its functional significance not clear. The loss of sinus arrhythmia may indicate underlying heart failure or disease; therefore, there would be a great advantage of knowing how it works and affects the cardio-respiratory system, especially by providing a
arxiv  

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