Foetal heart rate variability frequency characteristics with respect to uterine contractions

Home > Journals > Biomedical & Life Sciences >JBiSE

Journal of Biomedical Science and Engineering

Paper Submission

Google-based Impact Factor: 0.73 Citations
h5-index & Ranking

"Foetal heart rate variability frequency characteristics with respect to uterine contractions"
written by Mario Cesarelli, Maria Romano, Mariano Ruffo, Paolo Bifulco, Giulio Pasquariello,
published by Journal of Biomedical Science and Engineering, Vol.3 No.10, 2010

has been cited by the following article(s):

Google Scholar
CrossRef

[1]	A strategy for classification ofvaginal vs. cesarean section'delivery: bivariate empirical mode decomposition of cardiotocographic recordings
	2019

[2]	ur Rehman N and Mirza J (2019) A Strategy for Classification of Vaginal vs. Cesarean Section” Delivery: Bivariate Empirical Mode Decomposition of …
	2019

[3]	Efficient approach for digitization of the cardiotocography signals
	2019

[4]	Prognostic model based on image-based time-frequency features and genetic algorithm for fetal hypoxia assessment
	Computers in Biology and Medicine, 2018

[5]	Analysis of fetal heart rate variability from non-invasive electrocardiography recordings
	2018

[6]	Detection rate of fetal distress using contraction-dependent fetal heart rate variability analysis
	Physiological Measurement, 2018

[7]	Simulation of fetal heart rate variability with a mathematical model
	Medical Engineering & Physics, 2017

[8]	Simulation of the cardiotocogram during labor: towards model-based understanding of fetal physiology
	2016

[9]	Frequency and Time Domain Analysis of Foetal Heart Rate Variability with Traditional Indexes: A Critical Survey
	Computational and mathematical methods in medicine, 2016

[10]	Using uterine activity to improve fetal heart rate variability analysis for detection of asphyxia during labor
	Physiological measurement, 2016

[11]	Symbolic Dynamics Analysis: a new methodology for foetal heart rate variability analysis
	2015

[12]	Software for computerised analysis of cardiotocographic traces
	Computer methods and programs in biomedicine, 2015

[13]	Structure, Dynamics and Reactivity in the Organic Solid State: Anthracene Derivatives and Charge Transfer Crystals
	Dissertation, 2015

[14]	Automated evaluation of fetal cardiotocograms using neural network
	Systems, Man, and Cybernetics (SMC), 2012 IEEE International Conference on. IEEE, 2012

[15]	Foetal heart rate recording: analysis and comparison of different methodologies
	NULL 2011

[1]	Efficient approach for digitization of the cardiotocography signals Physica A: Statistical Mechanics and its Applications, 2020 DOI:10.1016/j.physa.2019.122725

[2]	A Strategy for Classification of “Vaginal vs. Cesarean Section” Delivery: Bivariate Empirical Mode Decomposition of Cardiotocographic Recordings Frontiers in Physiology, 2019 DOI:10.3389/fphys.2019.00246

[3]	Detection rate of fetal distress using contraction-dependent fetal heart rate variability analysis Physiological Measurement, 2018 DOI:10.1088/1361-6579/aaa925

[4]	Prognostic model based on image-based time-frequency features and genetic algorithm for fetal hypoxia assessment Computers in Biology and Medicine, 2018 DOI:10.1016/j.compbiomed.2018.06.003

[5]	Simulation of fetal heart rate variability with a mathematical model Medical Engineering & Physics, 2017 DOI:10.1016/j.medengphy.2017.01.016

[6]	Using uterine activity to improve fetal heart rate variability analysis for detection of asphyxia during labor Physiological Measurement, 2016 DOI:10.1088/0967-3334/37/3/387

[7]	Frequency and Time Domain Analysis of Foetal Heart Rate Variability with Traditional Indexes: A Critical Survey Computational and Mathematical Methods in Medicine, 2016 DOI:10.1155/2016/9585431

[8]	Automated evaluation of fetal cardiotocograms using neural network 2012 IEEE International Conference on Systems, Man, and Cybernetics (SMC), 2012 DOI:10.1109/ICSMC.2012.6377735