Results 191 to 200 of about 1,517,565 (213)

2019 HRS/EHRA/APHRS/LAHRS expert consensus statement on catheter ablation of ventricular arrhythmias [PDF]

, 2019
Cuculich, Phillip, et al,
core   +1 more source

Ischemic heart disease and cardiac arrhythmia are associated with increased cardiac aging

Salih A, Rauseo E, Galazzo I, Pujadas ER, Campello V, Lekadir K, Aung N, Slabaugh G, Dabbagh G, Chahal A, Menegaz G, Petersen S.   +11 more
europepmc   +1 more source

Investigate the relationship between obstructive sleep apnea and cardiac arrhythmia after CABG surgery. [PDF]

BMC Cardiovasc Disord
Mohammadi S, Paryad E, Khanghah AG, Leili EK, Noveiri MJS.   +4 more
europepmc   +1 more source

Trajectories of Body Mass Index and Waist Circumference in Relation to the Risk of Cardiac Arrhythmia: A Prospective Cohort Study. [PDF]

Nutrients
Zhang L, Chen S, Cao X, Yu J, Yang Z, Abdelrahman Z, Yang G, Wang L, Zhang X, Zhu Y, Wu S, Liu Z.   +11 more
europepmc   +1 more source

Cardiac Arrhythmia Risk after Anti-Cancer Drug Exposure and Related Disease Molecular Imaging Outlook: A Systematic Review, Meta-Analysis, and Network Meta-Analysis. [PDF]

Biology (Basel)
Li H, Yang W, Peng Y, Huang M, Liao F, Lu A, Yu Z, Zhao X.   +7 more
europepmc   +1 more source

An autosomal dominant cardiac arrhythmia syndrome, ST Depression Syndrome, is caused by thede novocreation of a cardiomyocyte enhancer

de Villiers CP, Downes DJ, Goel A, Pagnamenta AT, Ormondroyd E, Sparrow AJ, Nornes S, Giacopuzzi E, Rath P, Davies B, Schwessinger R, Gosden ME, Beagrie RA, Parkes D, Hastings R, Lise S, Salatino S, Roberts H, Lopopolo M, Weldon C, Trebes A, The WGS500 consortium, Buck D, Taylor JC, Redwood C, Rowland E, Tharmaratnam D, Stuart G, Lambiase PD, De Val S, Hughes JR, Watkins H.   +31 more
europepmc   +1 more source

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A 13.34 μW Event-Driven Patient-Specific ANN Cardiac Arrhythmia Classifier for Wearable ECG Sensors

IEEE Transactions on Biomedical Circuits and Systems, 2019
Artificial neural network (ANN) and its variants are favored algorithm in designing cardiac arrhythmia classifier (CAC) for its high accuracy. However, the implementation of ultralow power ANN-CAC is challenging due to the intensive computations ...
Yang Zhao, Zhongxia Shang, Y. Lian
semanticscholar   +1 more source

Combining deep neural networks and engineered features for cardiac arrhythmia detection from ECG recordings

Physiological Measurement, 2019
Objective: We aim to combine deep neural networks and engineered features (hand-crafted features based on medical domain knowledge) for cardiac arrhythmia detection from short single-lead ECG recordings.
linda Qiao, Yuxi Zhou, Meng Wu, Junyuan Shang, Qingyun Wang, Hongyan Li, Junqing Xie   +6 more
semanticscholar   +1 more source

Classification of Cardiac Arrhythmia of 12 Lead ECG Using Combination of SMOTEENN, XGBoost and Machine Learning Algorithms

International Symposium on Embedded Computing and System Design, 2019
Cardiac Arrhythmia is one of those common diseases leading to severe health problems for patients and even sudden death in some cases. Early detection of arrhythmias has a great role in saving lives which can be achieved by analyzing and classifying ECG ...
B R Manju, Anju R Nair
semanticscholar   +1 more source