Atrial fibrillation (AF) is the most common sustained cardiac arrhythmia encountered in
clinical practice. Recently, a tensor decomposition approach has been put forward for …

Responsible for 25% of strokes and 1/3 of hospitalizations due to cardiac related
disturbances, atrial fibrillation (AF) is the most common sustained cardiac arrhythmia in …

In data mining, block term tensor decomposition (BTD) is a relatively under-explored but
very powerful multilayer factor analysis method that is ideally suited for modeling for batch …

The electrocardiogram (ECG) is a biomedical signal that is widely used to monitor the heart
and diagnose cardiac problems. Depending on the clinical need, the ECG is recorded with …

Atrial fibrillation (AF) is the most common sustained cardiac arrhythmia in clinical practice,
and is becoming a major public health concern. To better understand the mechanisms of this …

Atrial fibrillation (AF) is the most prevalent sustained cardiac arrhythmia but is still
considered a challenging research subject since its electrophysiological mechanisms are …

Studies of oscillations in the frequency band between 80 Hz and 250 Hz for EEG (
Electroencephalogram) and MEG (Magnetoencephalogram) have achieved fruitful results of …

Considered as the last great frontier of cardiac electrophysiology, atrial fibrillation (AF) is the
most common sustained cardiac arrhythmia in clinical practice. The mechanisms behind this …

Algorithmic trading and portfolio optimization have revolutionized financial markets,
leveraging advanced computational models to execute trades and manage portfolios with …

Responsible for 25% of strokes, atrial fibrillation (AF) is the most common sustained cardiac
arrhythmia in clinical practice. A precise analysis of the atrial activity (AA) signal in …