Introduction With the widespread availability of portable electrocardiogram (ECG) devices,
there will be a surge in ECG diagnoses. Traditional computer-aided diagnosis of arrhythmia …

Cardiac arrhythmia is a condition when the heart rate is irregular either the beat is too slow
or too fast. It occurs due to improper electrical impulses that coordinates the heart beats …

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 …

Background Cardiac arrhythmia is a cardiovascular disorder characterized by disturbances
in the heartbeat caused by electrical conduction anomalies in cardiac muscle. Clinically …

Cardiac arrhythmias are abnormal heartbeats that might be irregular, excessively rapid, or
too slow. Cardiac arrhythmia occurs when electrical impulses in the heart malfunction. The …

Cardiac arrhythmia is an illness in which a heartbeat is erratic, either too slow or too rapid. It
happens as a result of faulty electrical impulses that coordinate the heartbeats. Sudden …

Electrocardiography (ECG) is widely used for arrhythmia detection nowadays. The machine
learning methods with signal processing algorithms have been used for automated …

This article presents a new deep learning approach for cardiac arrhythmia (17 classes)
detection based on long-duration electrocardiography (ECG) signal analysis …

Electrocardiogram (ECG) is the most frequent and routine diagnostic tool used for
monitoring heart electrical signals and evaluating its functionality. The human heart can …

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 …