Wearable devices, or wearables, designed to be attached to the human body, can gather
personalized real-time data and continuously monitor an individual's health status and …

In recent years, Deep Learning (DL) has gained significant attention and has been
extensively studied across various fields, including healthcare. In the context of healthcare …

Cyclin-dependent kinase 2 (CDK2) is a promising target for cancer treatment, developing
new effective CDK2 inhibitors is of great significance in anticancer therapy. The involvement …

Diagnosing the fetal cardiac abnormalities by fetal electrocardiogram (FECG) is a difficult
task, but it is essential to identify the fetus health condition. FECG monitoring is essential to …

Text preprocessing is a common task in machine learning applications that involves hand-
labeling sets. Although automatic and semi-automatic annotation of text data is a growing …

This paper study provides a novel contribution to the field of signal processing and DL for
ECG signal analysis by introducing a new feature representation method for ECG signals …

Cardiac arrhythmias, characterized by deviations from the normal rhythmic contractions of
the heart, pose a formidable diagnostic challenge. Early and accurate detection remains an …

Cardiotocography (CTG) measurements are critical for assessing fetal wellbeing during
monitoring, and accurate assessment requires well-traceable CTG signals. The current FHR …

Fetal arrhythmia is a leading cause of sudden infant mortality, highlighting the significance of
detecting it in order to ensure the fetus. Identifying and analyzing fetal heartbeat rhythms …

Probabilistic predictions for regression problems are more popular than point predictions
and interval predictions, since they contain more information for test labels. Conformal …