Appropriate energy management strategies (EMSs) have been selected for plug-in hybrid
electric vehicles (PHEVs) based on driving-condition recognition (DCR) according to the …

The rapid advancement of deep neural networks (DNNs) has significantly transformed
various sectors, demonstrating unparalleled proficiency in managing intricate tasks in …

Atrial fibrillation (AF) is a serious heart arrhythmia leading to a significant increase of the risk
for occurrence of ischemic stroke. Clinically, the AF episode is recognized in an …

The following chapter describes the basic concepts of fuzzy systems and approximate
reasoning. The study focuses mainly on fuzzy models based on Zadeh's compositional rule …

The combination of machine vision and soft computing approaches in the clinical decisions,
using training data, can improve medical decisions and treatments. The cardiotocography …

Continuous monitoring of fetal health requires the accurate calculation of the Fetal Heart
Rate (FHR) by efficiently isolating fetal Electrocardiogram (fECG) from non-invasive …

Objective Monitoring fetal cardiac activity during pregnancy is a critical part of assessing the
fetus's health. Non-invasive fetal electrocardiogram (NIFECG) is a safe emerging fetal …

Great expectations are connected with application of indirect fetal electrocardiography
(FECG), especially for home telemonitoring of pregnancy. Evaluation of fetal heart rate …

Objective This study aimed to perform a systematic review to describe the achievements
made by the researchers, summarizing findings that have been found by previous …

This study is aimed at evaluation of the capability to indicate the preterm labour risk by
analysing the features extracted from the signals of electrical uterine activity. Free access …