Simultaneous monitoring of electrophysiological and biochemical signals is of great
importance in healthcare and fitness management, while the fabrication of highly integrated …

Classification is one of the most popular topics in healthcare and bioinformatics, especially
in relation to arrhythmia detection. Arrhythmias are irregularities in the rate or rhythm of the …

Early detection is critical to achieving improved treatment outcomes for child patients with
congenital heart diseases (CHDs). Therefore, developing effective CHD detection …

Wearable medical sensors (WMSs) are garnering ever-increasing attention from both the
scientific community and the industry. Driven by technological advances in sensing, wireless …

ECG heartbeat classification plays a vital role in diagnosis of cardiac arrhythmia. Traditional
heartbeat classification methods rely on handcrafted features and often fail to learn …

Developing an efficient heartbeat monitoring system has become a focal point in numerous
healthcare applications. Specifically, in the last few years, heartbeat classification for …

Assessment of heart sounds which are generated by the beating heart and the resultant
blood flow through it provides a valuable tool for cardiovascular disease (CVD) diagnostics …

In many healthcare applications, artifacts mask or corrupt important features of
Electrocardiogram (ECG) signals. In this paper we describe a revised scheme for ECG …

Flexible wearable electrodes have been extensively used for obtaining electrophysiological
signals towards smart health monitoring and disease diagnosis. Here, low-cost, and non …

To detect and identify QRS complexes and R-peak is one of the crucial steps in the field of
electrocardiogram (ECG) signals research, and their detection accuracy directly affects the …