Electrocardiogram (ECG) signals are often used to diagnose cardiac status. However, most
of the existing ECG diagnostic methods only use the time-domain information, resulting in …

Cardiovascular diseases, like arrhythmia, as the leading causes of death in the world, can
be automatically diagnosed using an electrocardiogram (ECG). The ECG-based diagnostic …

In wearable sensing, accurate estimation of physiological parameters is paramount,
although these signals can be corrupted by noise. The fusion of data from multiple sensor …

Cardiovascular disease (CVD) is a most dangerous disease in the world. Early accurate and
automated identification helps the medical professional make a correct diagnosis and …

Atrial fibrillation is a common cardiac arrhythmia event, potentially leading to strokes and
thrombosis, diagnosable by means of an electrocardiographic (ECG) exam where the …

One of the most common causes of death worldwide is heart disease, including arrhythmia.
Today, sciences such as artificial intelligence and medical statistics are looking for methods …

Objectives Cardiac arrhythmia is one of the most severe cardiovascular diseases that can be
fatal. Therefore, its early detection is critical. However, detecting types of arrhythmia by …

Modern technologies are widely used today to diagnose epilepsy, neurological disorders,
and brain tumors. Meanwhile, it is not cost-effective in terms of time and money to use a …

Cardiac arrhythmias are associated with an elevated risk of myocardial infarction, stroke,
and other abnormalities. Accurate and timely identification of the type of arrhythmia enables …

Studies indicate cardiac arrhythmia is one of the leading causes of death in the world. The
risk of a stroke may be reduced when an irregular and fast heart rate is diagnosed. Since it is …