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Computer Methods and Programs in Biomedicine|November 4, 2019
Integrating machine learning techniques and physiology based heart rate features for antepartum fetal monitoringMaria G Signorini, Nicolò Pini, Alberto Malovini, et al.
Data in Brief|February 20, 2020
Dataset on linear and non-linear indices for discriminating healthy and IUGR fetusesMaria G Signorini, Nicolò Pini, Alberto Malovini, et al.
Computer Methods and Programs in Biomedicine|August 2, 2023
Fetal states identification in cardiotocographic tracings through discrete emissions multivariate hidden Markov modelsEdoardo Spairani, Giulio Steyde, Salvatore Tagliaferri, et al.
Frontiers in Digital Health|June 30, 2026
A multidimensional ensemble pipeline for early detection of IUGR condition through CTGEdoardo Spairani, Giulio Steyde, Francesco Podda, et al.
Computers in Biology and Medicine|April 4, 2025
Prediction of IUGR condition at birth by means of CTG recordings and a ResNet modelEdoardo Spairani, Giulio Steyde, Federica Spuri Forotti, et al.
Frontiers in Artificial Intelligence|April 23, 2021
A Machine Learning Approach to Monitor the Emergence of Late Intrauterine Growth RestrictionNicolò Pini, Maristella Lucchini, Giuseppina Esposito, et al.
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|November 25, 2010
Prototype of a wearable system for remote fetal monitoring during pregnancyAndrea Fanelli, Manuela Ferrario, Luca Piccini, et al.
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|December 8, 2009
Multiparameter analysis of heart rate variability signal for the investigation of high risk fetusesManuela Ferrario, Giovanni Magenes, Marta Campanile, et al.
The Journal of Obstetrics and Gynaecology Research|May 18, 2019
Fetal heart rate monitoring and neonatal outcome in a population of early- and late-onset intrauterine growth restrictionFrancesca G Esposito, Salvatore Tagliaferri, Antonia Giudicepietro, et al.
Biomedical Signal Processing and Control|July 3, 2026
A robust deep learning framework for automated fetal behavioral state classification: leveraging multi-center datasets to improve antepartum heart rate monitoringGiulio Steyde, Isabelle Mueller, Margaret C Shair, et al.
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