Results 31 to 40 of about 409,490 (311)
Optimal Multi-Stage Arrhythmia Classification Approach
Arrhythmia constitutes a problem with the rate or rhythm of the heartbeat, and an early diagnosis is essential for the timely inception of successful treatment. We have jointly optimized the entire multi-stage arrhythmia classification scheme based on 12-
Jianwei Zheng +14 more
semanticscholar +1 more source
Arrhythmia Classification Techniques Using Deep Neural Network
Electrocardiogram (ECG) is the most common and low-cost diagnostic tool used in healthcare institutes for screening heart electrical signals. The abnormal heart signals are commonly known as arrhythmia.
A. Khan, M. Hussain, M. K. Malik
semanticscholar +1 more source
Deep Multi-Scale Fusion Neural Network for Multi-Class Arrhythmia Detection
Automated electrocardiogram (ECG) analysis for arrhythmia detection plays a critical role in early prevention and diagnosis of cardiovascular diseases. Extracting powerful features from raw ECG signals for fine-grained diseases classification is still a ...
Ruxin Wang, Jianping Fan, Ye Li
semanticscholar +1 more source
Background/Purpose: Anticoagulant therapy is suggested within 45 days after Watchman device implantation for stroke prevention in patients with atrial fibrillation (AF).
Guohua Fu +9 more
doaj +1 more source
Key Clinical Message R‐wave double counting is a rare cause of ventricular oversensing that can lead to inappropriate shocks. Optimizing device programming is essential for the avoidance of subsequent inappropriate therapies.
Athanasios Saplaouras +9 more
doaj +1 more source
Background Left atrial structural remodeling contributes to the arrhythmogenic substrate of atrial fibrillation (AF), but the role of the right atrium (RA) remains unknown.
Clara Gunturiz‐Beltrán +16 more
doaj +1 more source
Left atrial-esophageal (LA-Eso) fistula is now a well-recognized and fatal complication of percutaneous catheter ablation performed using radiofrequency energy for atrial fibrillation (AF).
Masahiro Esato +6 more
doaj +1 more source
Novel deep genetic ensemble of classifiers for arrhythmia detection using ECG signals
The heart disease is one of the most serious health problems in today’s world. Over 50 million persons have cardiovascular diseases around the world. Our proposed work based on 744 segments of ECG signal is obtained from the MIT-BIH Arrhythmia database ...
Pawel Plawiak, U. R. Acharya
semanticscholar +1 more source
The current outbreak of severe acute respiratory syndrome coronavirus-2 (SARS-CoV-2) also known as coronavirus disease 2019 (COVID-19) has quickly progressed to a global pandemic.
Savalan Babapoor-Farrokhran +4 more
semanticscholar +1 more source
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 +11 more
doaj +1 more source

