MINA: Multilevel Knowledge-Guided Attention for Modeling Electrocardiography Signals [PDF]
arXiv, 2019Electrocardiography (ECG) signals are commonly used to diagnose various cardiac abnormalities. Recently, deep learning models showed initial success on modeling ECG data, however they are mostly black-box, thus lack interpretability needed for clinical usage.
linda Qiao+4 more
arxiv +3 more sources
Cryptanalyzing an image encryption algorithm based on autoblocking and electrocardiography [PDF]
IEEE MultiMedia, 2018, 2017This paper analyzes the security of an image encryption algorithm proposed by Ye and Huang [\textit{IEEE MultiMedia}, vol. 23, pp. 64-71, 2016]. The Ye-Huang algorithm uses electrocardiography (ECG) signals to generate the initial key for a chaotic system and applies an autoblocking method to divide a plain image into blocks of certain sizes suitable ...
Chengqing Li, Dongdong Lin
arxiv +3 more sources
Deep Learning–Based Algorithm for Detecting Aortic Stenosis Using Electrocardiography
Journal of the American Heart Association: Cardiovascular and Cerebrovascular Disease, 2020Background 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+7 more
doaj +2 more sources
Identification of weakly coupled multiphysics problems. Application to the inverse problem of electrocardiography [PDF]
Journal of Computational Physics, vol. 283, p. 271-298, 2015, 2015This work addresses the inverse problem of electrocardiography from a new perspective, by combining electrical and mechanical measurements. Our strategy relies on the defini-tion of a model of the electromechanical contraction which is registered on ECG data but also on measured mechanical displacements of the heart tissue typically extracted from ...
Corrado, Cesare+2 more
arxiv +7 more sources
Comparison of different electrocardiography with vectorcardiography transformations [PDF]
Italian National Conference on Sensors, 2019This paper deals with transformations from electrocardiographic (ECG) to vectorcardiographic (VCG) leads. VCG provides better sensitivity, for example for the detection of myocardial infarction, ischemia, and hypertrophy.
Danys, Lukáš+2 more
core +2 more sources
A Primer of Electrocardiography [PDF]
Archives of Internal Medicine, 1961This 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
Relevance of increased negative T waves in apical hypertrophic cardiomyopathy with progressive myocardial damage: Insights from repeat cardiac magnetic resonance studies [PDF]
Radiology Case ReportsIn patients with apical hypertrophic cardiomyopathy (HCM), progressive electrocardiographic changes are observed during long-term follow-up. However, it is difficult to correspond these changes to the specific myocardial changes.
Hideo Arai, RT+5 more
doaj +2 more sources
Current and Future Use of Artificial Intelligence in Electrocardiography
Journal of Cardiovascular Development and Disease, 2023Artificial 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
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