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Now showing items 11-20 of 25
Classification of ECG Signal by using Machine Learning Methods
(Ieee, 2018)
In this study, an application of Artificial Neural Networks (ANN), Support Vector Machines (SVM), and k-Nearest Neighbor (k-NN) machine learning methods is performed to measure the classification performance of the models ...
Chronic Tympanic Membrane Diagnosis based on Deep Convolutional Neural Network
(Ieee, 2019)
Chronic Otitis Media (COM) causes deformation of the middle ear ossicles with perforation as a result of long-lasting inflammation of the middle ear and it is one of the basic reasons for hearing loss. The middle ear images ...
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 ...
A Novel Software for Comprehensive Analysis of Cardiotocography Signals CTG-OAS
(Ieee, 2017)
The research interest in fetal heart rate (FHR) monitoring dates back to the 1960s, and the breakthrough on fetal surveillance has been seen during the 1990s with computerized systems. Notwithstanding the general use of ...
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 ...
Cardiotocography Analysis based on Segmentation-based Fractal Texture Decomposition and Extreme Learning Machine
(Ieee, 2017)
Fetal heart rate (FHR) has notable patterns for the assessment of fetal physiology and typical stress conditions. FHR signals are obtained using cardiotocography (CTG) devices also providing uterine activities simultaneously ...
Using Wavelet Transform for Cardiotocography Signals Classification
(Ieee, 2017)
As a fetal surveillance technique, cardiotocography (CTG) involves fetal heart rate (FHR), uterine contraction activities, and fetal movements. CTG is practiced as a primary diagnostic test throughout the world to identify ...
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 ...