The electrocardiogram (ECG) is an effective tool for cardiovascular disease diagnosis and
arrhythmia detection. Most methods proposed in the literature include the following steps: 1) …

Single-lead wearable electrocardiographic (ECG) devices for remote monitoring are
emerging as critical components of the viability of long-term continuous health and wellness …

Arrhythmia is a common class of Cardiovascular disease which is the cause for over 31% of
all death over the world, according to WHOs' report. Automatic detection and classification of …

Atrial fibrillation (AF) is a prevalent clinical arrhythmia disease and is an important cause of
stroke, heart failure, and sudden death. Due to the insidious onset and no obvious clinical …

Background and objectives: Arrhythmia is a heart disease characterized by the change in
the regularity of the heartbeat. Since this disorder can occur sporadically, Holter devices are …

Objective: Accurate QRS complex detection is essential for electrocardiography (ECG)
diagnosis. Many proposed algorithms don't perform satisfactorily on noisy and arrhythmia …

Objective: Noise and low quality of ECG signals acquired from Holter or wearable devices
deteriorate the accuracy and robustness of R-peak detection algorithms. This paper …

Although numerous R-peak detectors have been proposed in the literature, their robustness
and performance levels may significantly deteriorate in low-quality and noisy signals …

Objective: ECG recordings often suffer from a set of artifacts with varying types, severities,
and durations, and this makes an accurate diagnosis by machines or medical doctors …

Automatic detection of R-peaks in an Electrocardiogram signal is crucial in a multitude of
applications including Heart Rate Variability (HRV) analysis and Cardio Vascular Disease …