Results 1 to 10 of about 127,578 (255)
Artificial intelligence-enhanced electrocardiography in cardiovascular disease management
The application of artificial intelligence (AI) to the electrocardiogram (ECG), a ubiquitous and standardized test, is an example of the ongoing transformative effect of AI on cardiovascular medicine.
Konstantinos C Siontis+2 more
exaly +2 more sources
PTB-XL, a large publicly available electrocardiography dataset
Electrocardiography (ECG) is a key non-invasive diagnostic tool for cardiovascular diseases which is increasingly supported by algorithms based on machine learning.
Nils Strodthoff+2 more
exaly +2 more sources
Wearable Smart Textiles for Long-Term Electrocardiography Monitoring—A Review
The continuous and long-term measurement and monitoring of physiological signals such as electrocardiography (ECG) are very important for the early detection and treatment of heart disorders at an early stage prior to a serious condition occurring.
Abreha Bayrau Nigusse+2 more
exaly +2 more sources
Deep Learning–Based Algorithm for Detecting Aortic Stenosis Using Electrocardiography
Background Severe, symptomatic aortic stenosis (AS) is associated with poor prognoses. However, early detection of AS is difficult because of the long asymptomatic period experienced by many patients, during which screening tools are ineffective. The aim
Joon-myoung Kwon, Ki Hyun Jeon, Yeha Lee
exaly +2 more sources
Artificial Intelligence–Electrocardiography to Predict Incident Atrial Fibrillation
Background: An artificial intelligence (AI) algorithm applied to electrocardiography during sinus rhythm has recently been shown to detect concurrent episodic atrial fibrillation (AF). We sought to characterize the value of AI–enabled electrocardiography
Jonathan Graff-Radford+2 more
exaly +2 more sources
Portable out‐of‐hospital electrocardiography: A review of current technologies
Availability of portable and home‐based electrocardiography (ECG) is an important medical innovation, which has a potential to transform medical care. We performed this review to understand the current state of out‐of‐hospital portable ECG technologies ...
Agam Bansal Mbbs, Rajnish Joshi
exaly +2 more sources
A Primer of Electrocardiography [PDF]
This monograph is precisely what it is stated to be. It is an excellent elementary textbook which presents the fundamentals of electrocardiography in a concise and lucid manner. This book is designed for the beginning student, although it might be quite valuable for review by general practitioners and internists who see only limited numbers of tracings.
Duncan A. Holaday
openalex +4 more sources
Background: Papillary fibroelastomas are rare benign heart tumors, and is most likely to involve the cardiac valves. We will present an extremely rare localization of a large Valsalva sinus fibroelastoma, with occasional left coronary artery ostial ...
Snezana Tadic+15 more
doaj +1 more source
Current and Future Use of Artificial Intelligence in Electrocardiography
Artificial intelligence (AI) is increasingly used in electrocardiography (ECG) to assist in diagnosis, stratification, and management. AI algorithms can help clinicians in the following areas: (1) interpretation and detection of arrhythmias, ST-segment ...
M. Martínez‐Sellés+1 more
semanticscholar +1 more source