Non-linear methods predominant in fetal heart rate analysis: a systematic review
The analysis of fetal heart rate variability has served as a scientific and diagnostic tool to
quantify cardiac activity fluctuations, being good indicators of fetal well-being. Many …
quantify cardiac activity fluctuations, being good indicators of fetal well-being. Many …
Using nonlinear features for fetal heart rate classification
HIGHLIGHTS:• We analyzed fetal heart rate of normal and acidemic fetuses.• We used
conventional and nonlinear features for the signal analysis.• Addition of nonlinear features …
conventional and nonlinear features for the signal analysis.• Addition of nonlinear features …
Antepartum fetal heart rate feature extraction and classification using empirical mode decomposition and support vector machine
N Krupa, MA MA, E Zahedi, S Ahmed… - Biomedical engineering …, 2011 - Springer
Background Cardiotocography (CTG) is the most widely used tool for fetal surveillance. The
visual analysis of fetal heart rate (FHR) traces largely depends on the expertise and …
visual analysis of fetal heart rate (FHR) traces largely depends on the expertise and …
Investigating pH based evaluation of fetal heart rate (FHR) recordings
Cardiotocography (CTG) is a standard tool for the assessment of fetal well-being during
pregnancy and delivery. However, its interpretation is associated with high inter-and intra …
pregnancy and delivery. However, its interpretation is associated with high inter-and intra …
Feature selection using swarm-based relative reduct technique for fetal heart rate
H Hannah Inbarani, PK Nizar Banu, AT Azar - Neural Computing and …, 2014 - Springer
Fetal heart rate helps in diagnosing the well-being and also the distress of fetal.
Cardiotocograph (CTG) monitors the fetal heart activity to estimate the fetal tachogram …
Cardiotocograph (CTG) monitors the fetal heart activity to estimate the fetal tachogram …
Evolutionary fuzzy ARTMAP neural networks for classification of semiconductor defects
Wafer defect detection using an intelligent system is an approach of quality improvement in
semiconductor manufacturing that aims to enhance its process stability, increase production …
semiconductor manufacturing that aims to enhance its process stability, increase production …
Survey on cardiotocography feature extraction algorithms for foetal welfare assessment
Since its inception forty years ago as a way to control birth process, the cardiotocograph
(CTG) has emerged over time and became the undisputed leader worldwide of non-invasive …
(CTG) has emerged over time and became the undisputed leader worldwide of non-invasive …
Multiple voice disorders in the same individual: investigating handcrafted features, multi-label classification algorithms, and base-learners
Non-invasive acoustic analyses of voice disorders have been at the forefront of current
biomedical research. Usual strategies, essentially based on machine learning (ML) …
biomedical research. Usual strategies, essentially based on machine learning (ML) …
Linear and non-linear analysis of cardiac health in diabetic subjects
Diabetes is a chronic disease characterized by hyperglycaemia, which leads to specific long-
term complications: retinopathy, neuropathy, nephropathy and cardiomyopathy. Analysis of …
term complications: retinopathy, neuropathy, nephropathy and cardiomyopathy. Analysis of …
QFC: A Parallel Software Tool for Feature Construction, Based on Grammatical Evolution
IG Tsoulos - Algorithms, 2022 - mdpi.com
This paper presents and analyzes a programming tool that implements a method for
classification and function regression problems. This method builds new features from …
classification and function regression problems. This method builds new features from …