Prematurity is the leading cause of infant morbidity and mortality around the world. Surface
uterine electromyogram (sEMG) is a non-invasive uterine electromyogram. One of most …

Detection of emotional states plays a prominent role in affective computing, decision-
making, and healthcare. Physiological signals are an ideal target for continuous and …

Abstract The Uterine Electromyogram often referred as the Electrohysterogram (EHG) is a
signal that has the potential to be used for pregnancy monitoring and preterm risk …

With the rapid spread of the coronavirus epidemic all over the world, educational and other
institutions are heading towards digitization. In the era of digitization, identifying educational …

Preterm birth prediction is important in prenatal care; however, it remains a significant
challenge due to the complex physiological mechanisms involved. This study aimed to …

Preterm birth (gestational age< 37 weeks) is a public health concern that causes fetal and
maternal mortality and morbidity. When this condition is detected early, suitable treatment …

Purpose Analysing the progression of muscle fatigue is paramount as it can be helpful in
monitoring the myoelectric manifestations of fatigue conditions and predicting any …

The objective of this study is to analyze the uterine electromyography (uEMG) signals to
study the progression of pregnancy under term condition (gestational age> 36 weeks) using …

A recently published study [1] proposed a machine learning classifier to detect preterm birth
at an early stage of the pregnancy by making use of an envelope created from Fourier …

Accurate prediction of preterm birth can significantly reduce birth complications for both
mother and baby. This situation increases the need for an effective technique in early …