In the last few years, there has been a growing expectation created about the analysis of
large amounts of data often available in organizations, which has been both scrutinized by …

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 …

Considering the significant burden to patients and healthcare systems globally related to
atrial fibrillation (AF) complications, the early AF diagnosis is of crucial importance. In the …

The diagnostic study of electrocardiography (ECG) signals plays a vital role in the diagnosis
of cardiac problems. But the powerline interference in ECG causes an artifact in the …

Holter systems record the electrocardiogram (ECG), which is used to identify beat families
according to their origin and severity. Many systems have been proposed using signal …

Noise and artifacts affect strongly the quality of the electrocardiogram (ECG) in long-term
ECG monitoring (LTM), making some of its parts impractical for diagnosis. The clinical …

This paper presents a review of the techniques found in the literature that aim to achieve a
robust heartbeat detection from fusing multi-modal physiological signals (eg …

As the fast development of wearable devices and Internet of things technologies, real-time
monitoring of ECG signals is quite critical for cardiovascular diseases. However, dynamic …

Objective: In Long-Term Monitoring (LTM), noise significantly impacts the quality of the
electrocardiogram (ECG), posing challenges for accurate diagnosis and time-consuming …

Accurate segmentation of electrocardiogram (ECG) waves is crucial for cardiovascular
diseases (CVDs). In this study, a bidirectional hidden semi-Markov model (BI-HSMM) based …