Results 11 to 20 of about 678,002 (383)

ECG in Children

Japanese Heart Journal, 1963
K. K. Datey
openalex   +5 more sources

Automatic ECG Classification Using Continuous Wavelet Transform and Convolutional Neural Network

Entropy, 2021
Early detection of arrhythmia and effective treatment can prevent deaths caused by cardiovascular disease (CVD). In clinical practice, the diagnosis is made by checking the electrocardiogram (ECG) beat-by-beat, but this is usually time-consuming and ...
Tao Wang, Changhua Lu, Yining Sun, Mei Yang, Chun Liu, Chunsheng Ou   +5 more
semanticscholar   +1 more source

Deep Neural Networks Can Predict New-Onset Atrial Fibrillation From the 12-Lead ECG and Help Identify Those at Risk of Atrial Fibrillation–Related Stroke

Circulation, 2021
Supplemental Digital Content is available in the text. Background: Atrial fibrillation (AF) is associated with substantial morbidity, especially when it goes undetected.
S. Raghunath, John M. Pfeifer, Alvaro E Ulloa-Cerna, Arun Nemani, Tanner Carbonati, Linyuan Jing, D. vanMaanen, Dustin N. Hartzel, J. A. Ruhl, Braxton Lagerman, D. Rocha, Nathan J. Stoudt, G. Schneider, Kipp W. Johnson, Noah Zimmerman, J. Leader, H. Kirchner, C. Griessenauer, A. Hafez, Christopher W. Good, Brandon K. Fornwalt, C. Haggerty   +21 more
semanticscholar   +1 more source

Conservation of germplasm derived from spix’s yellow-toothed cavies (Galea spixii WAGLER, 1831) [PDF]

SPERMOVA, 2017
The ecological and economical importance of the Galea spixii, a hystricognath cavid rodent, has aroused the interest of the researchers at developing studies focused on the conservation of its germplasm.
Silva AR, Silva AM, Praxedes ECG
doaj   +1 more source

ECG-Based Deep Learning and Clinical Risk Factors to Predict Atrial Fibrillation

Circulation, 2021
Supplemental Digital Content is available in the text. Background: Artificial intelligence (AI)–enabled analysis of 12-lead ECGs may facilitate efficient estimation of incident atrial fibrillation (AF) risk.
S. Khurshid, S. Friedman, C. Reeder, P. Di Achille, N. Diamant, Pulkit Singh, Lia X. Harrington, Xin Wang, M. Al-Alusi, Gopal Sarma, A. Foulkes, P. Ellinor, C. Anderson, J. Ho, A. Philippakis, P. Batra, S. Lubitz   +16 more
semanticscholar   +1 more source

Risk factors for development of ventricular tachycardia in patients with ventricular premature contraction with a structurally normal heart

Journal of Arrhythmia, 2020
Background We examined risk factors for development of ventricular tachycardia (VT) in pediatric patients with ventricular premature contractions (VPCs) and a structurally normal heart.
Yuichi Nomura, Syunji Seki, Daisuke Hazeki, Kentaro Ueno, Yuji Tanaka, Kiminori Masuda, Makoto Nishibatake, Masao Yoshinaga   +7 more
doaj   +1 more source

Impact of Membrane Types and Catalyst Layers Composition on Performance of Polymer Electrolyte Membrane Fuel Cells

ChemistryOpen, 2020
Performance of a low temperature polymer electrolyte membrane fuel cell (PEMFC) is highly dependent on the kind of catalysts, catalyst supports, ionomer amount on the catalyst layers (CL), membrane types and operating conditions.
Dr. Paritosh Kumar Mohanta, Masuma Sultana Ripa, Fabian Regnet, Dr. Ludwig Jörissen   +3 more
doaj   +1 more source

ECG-based machine-learning algorithms for heartbeat classification

Scientific Reports, 2021
Electrocardiogram (ECG) signals represent the electrical activity of the human hearts and consist of several waveforms (P, QRS, and T). The duration and shape of each waveform and the distances between different peaks are used to diagnose heart diseases.
Saira Aziz, Sajid Ahmed, Mohamed-Slim Alouini   +2 more
semanticscholar   +1 more source

Polarcardiographic analysis by automated digital minicomputer.

Acta Médica Portuguesa, 1981
Polarcardiographic criteria for myocardial infarction were established using an analogic computer and human readers. The sensitivity for revealing old myocardial infarction was found to be 37% greater than for ECG, with a false positive rate of less ...
G E Dower, D Berghofer, H E Missler, H. Bastos Machado   +3 more
doaj   +1 more source

Principal component analysis of atrial fibrillation: Inclusion of posterior ECG leads does not improve correlation with left atrial activity [PDF]

, 2015
Background Lead V? is routinely analysed due to its large amplitude AF waveform. V? correlates strongly with right atrial activity but only moderately with left atrial activity. Posterior lead V? correlates strongest with left atrial activity.
Bourke, John P., Langley, Philip, Lord, Stephen, Murray, Alan, Murray, Stephen, Raine, Daniel, Shepherd, Ewen   +6 more
core   +1 more source