Results 31 to 40 of about 208,986 (273)

ECG-ATK-GAN: Robustness against Adversarial Attacks on ECGs using Conditional Generative Adversarial Networks [PDF]

, 2021
Automating arrhythmia detection from ECG requires a robust and trusted system that retains high accuracy under electrical disturbances. Many machine learning approaches have reached human-level performance in classifying arrhythmia from ECGs. However, these architectures are vulnerable to adversarial attacks, which can misclassify ECG signals by ...
arxiv   +1 more source

The Link Between Sex Hormones and Susceptibility to Cardiac Arrhythmias: From Molecular Basis to Clinical Implications

Frontiers in Cardiovascular Medicine, 2021
It is well-known that gender is an independent risk factor for some types of cardiac arrhythmias. For example, males have a greater prevalence of atrial fibrillation and the Brugada Syndrome.
Sarah Costa, Ardan M. Saguner, Alessio Gasperetti, Alessio Gasperetti, Deniz Akdis, Corinna Brunckhorst, Firat Duru, Firat Duru   +7 more
doaj   +1 more source

An Event-Driven Compressive Neuromorphic System for Cardiac Arrhythmia Detection [PDF]

arXiv, 2022
Wearable electrocardiograph (ECG) recording and processing systems have been developed to detect cardiac arrhythmia to help prevent heart attacks. Conventional wearable systems, however, suffer from high energy consumption at both circuit and system levels. To overcome the design challenges, this paper proposes an event-driven compressive ECG recording
arxiv  

Panoramic Endocardial Optical Mapping Demonstrates Serial Rotors Acceleration and Increasing Complexity of Activity During Onset of Cholinergic Atrial Fibrillation

Journal of the American Heart Association: Cardiovascular and Cerebrovascular Disease, 2021
Background Activation during onset of atrial fibrillation is poorly understood. We aimed at developing a panoramic optical mapping system for the atria and test the hypothesis that sequential rotors underlie acceleration of atrial fibrillation during ...
Óscar Salvador‐Montañés, Rafael J. Ramirez, Yoshio Takemoto, Steven R. Ennis, Daniel Garcia‐Iglesias, Sicong Wang, Patrick J. Wolfer, Jiang Jiang, Sergey V. Mironov, Sandeep V. Pandit, José Jalife, Omer Berenfeld   +11 more
doaj   +1 more source

Deep Learning Models for Arrhythmia Classification Using Stacked Time-frequency Scalogram Images from ECG Signals [PDF]

arXiv, 2023
Electrocardiograms (ECGs), a medical monitoring technology recording cardiac activity, are widely used for diagnosing cardiac arrhythmia. The diagnosis is based on the analysis of the deformation of the signal shapes due to irregular heart rates associated with heart diseases. Due to the infeasibility of manual examination of large volumes of ECG data,
arxiv  

The Potential for Extracellular Vesicles in Nanomedicine: A Review of Recent Advancements and Challenges Ahead

Advanced Biology, EarlyView.
Extracellular vesicles (EVs) play a dual role in diagnostics and therapeutics, offering innovative solutions for treating cancer, cardiovascular, neurodegenerative, and orthopedic diseases. This review highlights EVs’ potential to revolutionize personalized medicine through specific applications in disease detection and treatment.
Farbod Ebrahimi, Anjali Kumari, Samaneh Ghadami, Saqer Al Abdullah, Kristen Dellinger   +4 more
wiley   +1 more source

Initial experience and treatment of atrial fibrillation using a novel irrigated multielectrode catheter: Results from a prospective two-center study

Journal of Arrhythmia, 2016
Background: PV electrical isolation has become the cornerstone of catheter ablation for the treatment of atrial fibrillation (AF). Several strategies have been proposed to achieve this goal.
Felipe Rodríguez-Entem, MD, Víctor Expósito, MD, Moisés Rodríguez-Mañero, MD, Susana González-Enríquez, MD, Xesús Alberte Fernández-López, MD, Javier García-Seara, MD, José Luis Martínez-Sande, MD, Juan José Olalla, MD   +7 more
doaj   +1 more source

Machine Learning-based Efficient Ventricular Tachycardia Detection Model of ECG Signal [PDF]

arXiv, 2021
In primary diagnosis and analysis of heart defects, an ECG signal plays a significant role. This paper presents a model for the prediction of ventricular tachycardia arrhythmia using noise filtering, a unique set of ECG features, and a machine learning-based classifier model.
arxiv  

A Novel 3D High‐Throughput Phenotypic Drug Screening Pipeline to Identify Drugs with Repurposing Potential for the Treatment of Ovarian Cancer

Advanced Healthcare Materials, EarlyView.
Ovarian cancer's high recurrence and therapy resistance demand new strategies. A high‐throughput drug screening pipeline using 3D spheroids, which showed poor concordance with 2D models, identified rapamycin as a promising candidate. In combination with cisplatin, rapamycin demonstrated significant in vitro and in vivo efficacy, highlighting the ...
Nazanin Karimnia, Amy L. Wilson, Brittany R. Doran, Jennie Do, Amelia Matthews, Gwo Y. Ho, Magdalena Plebanski, Thomas W. Jobling, Andrew N. Stephens, Maree Bilandzic   +9 more
wiley   +1 more source

Health‐related quality of life following total minimally invasive, hybrid minimally invasive or open oesophagectomy: a population‐based cohort study

BJS (British Journal of Surgery), EarlyView., 2020
All patients operated for oesophageal cancer in Sweden from 2013 to April 2018 were identified, and 246 patients were recruited to this population‐based nationwide Swedish study. The results show that longitudinal health‐related quality of life after minimally invasive oesophagectomy was similar to that of the open surgical approach.
F. Klevebro, J. H. Kauppila, S. Markar, A. Johar, P. Lagergren   +4 more
wiley   +1 more source