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Efficient approach for digitization of the cardiotocography signals
(Elsevıer, 2020)
Cardiotocography (CTG) is generally provided on printed traces, and digitization of CTG signal is important for forthcoming assessments. In this paper, a new algorithm relies on the box-counting method is offered for the ...
Fetal Hypoxia Detection Based on Deep Convolutional Neural Network with Transfer Learning Approach
(Sprınger Internatıonal Publıshıng Ag, 2019)
Electronic fetal monitoring (EFM) device which is used to record Fetal Heart Rate (FHR) and Uterine Contraction (UC) signals simultaneously is one of the significant tools in terms of the present obstetric clinical ...
Prognostic model based on image-based time-frequency features and genetic algorithm for fetal hypoxia assessment
(Pergamon-Elsevıer Scıence Ltd, 2018)
Cardiotocography (CTG) is applied routinely for fetal monitoring during the perinatal period to decrease the rates of neonatal mortality and morbidity as well as unnecessary interventions. The analysis of CTG traces has ...
Open-access software for analysis of fetal heart rate signals
(Elsevıer Scı Ltd, 2018)
Cardiotocography (CTG) comprises fetal heart rate (FHR) and uterine contraction (UC) signals that are simultaneously recorded. In clinical practice, a visual examination is subjectively performed by observers depending on ...
Identification of Haploid Maize Seeds using Gray Level Co-occurrence Matrix and Machine Learning Techniques
(Ieee, 2018)
Doubled haploid (DH) technique is used effectively in maize breeding. This technique is superior to conventional maize breeding in terms of both time and homozygosity. One of the important processes in DH technique is the ...
Analysis of Fetal Heart Rate Signal based on Neighborhood-based Variance Compression Method
(Ieee, 2018)
Cardiotocography (CTG) is a fetal monitoring technique and it constitutes two distinct simultaneously recorded biophysical signals which are fetal heart rate (FHR) and uterine contractions (UC). In clinical practice, CTG ...
Performance Evaluation of Empirical Mode Decomposition and Discrete Wavelet Transform for Computerized Hypoxia Detection and Prediction
(Ieee, 2018)
This study proposes a new model relying on Empirical Mode Decomposition (EMD) and Discrete Wavelet Transform (DWT) in order to detect fetal hypoxia by using Cardiotocography (CTG) signals. We processed one well known open ...
Classification and Comparison of Cardiotocography Signals with Artificial Neural Network and Extreme Learning Machine
(Ieee, 2016)
Cardiotocography (CTG) is a monitoring technique that is used routinely during pregnancy and labor to assess fetal well-being. CTG consists of two signals which are fetal heart rate (FHR) and uterine contraction (UC). ...