With the rapidly increasing number of patients with chronic disease, numerous recent
studies have put great efforts into achieving long-term health monitoring and patient …

Electrocardiogram (ECG) is a technique of understanding the functioning of heart. Each
segment of the ECG signal is significant for the detection of different heart problems …

As universal expressions to describe complex systems, graphs are increasingly preferred as
a representation method in artificial intelligence. Visibility graphs enable converting time …

The financial markets are understood as complex dynamical systems whose dynamics is
analysed mostly using nonstationary and brief data sets from stock markets. For such data …

Cardiovascular diseases (CVD) or heart disorders are the leading cause of morbidity and
mortality among men, women and people of most racial and ethnic groups in the world …

One of the prominent reasons behind the deterioration of cardiovascular conditions is
hypertension. Due to lack of specific symptoms, sometimes existing hypertension goes …

The global burden of atrial fibrillation (AFIB) is constantly increasing, and its early detection
is still a challenge for public health and motivates researchers to improve methods for …

Different from the traditional methods of assessing the cardiac activities through heart rhythm
statistics or P-QRS-T complexes separately, this study demonstrates their interactive effects …

This study proposed an efficient ECG preprocessing technique, and the preprocessed ECG
data was subsequently used to classify atrial fibrillation (AFib) using end-to-end deep neural …

The appearance of atrial fibrillation (AFIB) is increasing daily, mainly in the elderly.
Therefore, an automatic detection system is required to avoid the severe impact of AFIB. A …