Abstract Background and Objective The patterns present in biosignals, such as fetal heart
rate (FHR), are valuable indicators of fetal well-being. In designing biosignal analysis …

Heart rate is a nonstationary signal and its variation may contain indicators of current
disease or warnings about impending cardiac diseases. Hence, heart rate variation analysis …

The stock market is one of the trending topics in the current generation. Without it,
businesses would largely resort to borrowing huge loans, which must be repaid-with …

Data imbalance is a term used in Computer Vision to refer to an unbalanced distribution
between classes throughout a dataset. In classification tasks, where the dispersion of …

A sizeable number of women face difficulties during pregnancy, which eventually can lead
the fetus towards serious health problems. However, early detection of these risks can save …

Cardiotocography (CTG) is a biophysical method for assessing fetal condition that primarily
relies on the recording and automated analysis of fetal heart activity. The quantitative …

Stress is the way that everyone can respond actually, intellectually and sincerely to different
conditions, changes and requests in our lives. Stress problems are a typical issue among …

Abstract Rheumatic Fever or Acute Rheumatic Fever (RF) and Rheumatic Heart Disease
(RHD) are commonly suffered by people of all ages around the world. RF usually begins …

A fetus is an unborn progeny which is in the embryo period until it comes to the world. The
fetus grows and develops during every three month period in the pregnancy process …

An efficient adaptive classifier for fetal electronic monitoring based on a modified structure of
neural networks is presented. It employs polynomial series as a functional expansion …