Analysis of biomedical signals is a very challenging task involving implementation of various
advanced signal processing methods. This area is rapidly developing. This paper is a Part III …

Preterm birth (PTB) is one of the most common and serious complications in pregnancy.
About 15 million preterm neonates are born every year, with ratios of 10–15% of total births …

Abstract Information extracted from electrohysterography recordings could potentially prove
to be an interesting additional source of information to estimate the risk on preterm birth …

An accurate detection of preterm labor and the risk of preterm delivery before 37 weeks of
gestational age is crucial to increase the chance of survival rate for both mother and the …

Parkinson's disease (PD) is a type of progressive neurodegenerative disorder that has
affected a large part of the population till now. Several symptoms of PD include tremor …

Preterm birth is the leading cause of neonatal morbidity and mortality. Early identification of
high-risk deliveries, combined with appropriate medication appears as the way to treat the …

Predicting preterm birth is uncertain, and numerous scientists are searching for non-invasive
methods to improve its predictability. Current researches are based on the analysis of …

Preterm birth is the leading cause of neonatal death. It is challenging to predict preterm birth.
We elucidated the state of artificial intelligence research on the prediction of preterm birth …

The recently introduced multivariate multiscale entropy (MMSE) has been successfully used
to quantify structural complexity in terms of nonlinear within-and cross-channel correlations …

Surface electromyography (sEMG) armband-based gesture recognition is an active research
topic that aims to identify hand gestures with a single row of sEMG electrodes. As a typical …