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Maria G Signorini

Showing results (1-10 of 49) with videos related to

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Medical & Biological Engineering & Computing|June 16, 2009
Complexity analysis of the fetal heart rate variability: early identification of severe intrauterine growth-restricted fetusesManuela Ferrario, Maria G Signorini, Giovanni Magenes
Conference Proceedings : ... Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual Conference|October 20, 2007
New indexes from the fetal heart rate analysis for the identification of severe intra uterine growth restricted fetusesManuela Ferrario, Maria G Signorini, Giovanni Magenes
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|November 16, 2007
Estimation of long-term correlations from fetal heart rate variability signal for the identification of pathological fetusesManuela Ferrario, Maria G Signorini, Giovanni Magenes
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
Exploiting the multiplicative nature of fluoroscopic image stochastic noise to enhance calcium imaging recording qualityFederico Esposti, Maddalena Ripamonti, Maria G Signorini
Computational and Mathematical Methods in Medicine|March 19, 2014
Monitoring fetal heart rate during pregnancy: contributions from advanced signal processing and wearable technologyMaria G Signorini, Andrea Fanelli, Giovanni Magenes
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
Study of neuronal networks development from in-vitro recordings: A Granger causality based approachJacopo Lamanna, Federico Esposti, Maria G Signorini
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|January 18, 2020
An Efficient Algorithm for the Extraction of Fetal ECG from Standard and Non-Standard Multi Abdominal Maternal LeadsNicolo Pini, Giovanni Magenes, Andrea Fanelli, et al.
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|September 10, 2022
A Novel Large Structured Cardiotocographic DatabaseEdoardo Spairani, Beniamino Daniele, Giovanni Magenes, et al.
Computational Intelligence and Neuroscience|August 28, 2012
Detection of fractal behavior in temporal series of synaptic quantal release events: a feasibility studyJacopo Lamanna, Antonio Malgaroli, Sergio Cerutti, et al.
IEEE Transactions on Bio-Medical Engineering|January 13, 2006
Comparison of entropy-based regularity estimators: application to the fetal heart rate signal for the identification of fetal distressManuela Ferrario, Maria G Signorini, Giovanni Magenes, et al.
Pageof 5

Showing results (1-10 of 49) with videos related to

Sort By:
Pageof 5
Medical & Biological Engineering & Computing|June 16, 2009
Complexity analysis of the fetal heart rate variability: early identification of severe intrauterine growth-restricted fetusesManuela Ferrario, Maria G Signorini, Giovanni Magenes
Conference Proceedings : ... Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual Conference|October 20, 2007
New indexes from the fetal heart rate analysis for the identification of severe intra uterine growth restricted fetusesManuela Ferrario, Maria G Signorini, Giovanni Magenes
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|November 16, 2007
Estimation of long-term correlations from fetal heart rate variability signal for the identification of pathological fetusesManuela Ferrario, Maria G Signorini, Giovanni Magenes
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
Exploiting the multiplicative nature of fluoroscopic image stochastic noise to enhance calcium imaging recording qualityFederico Esposti, Maddalena Ripamonti, Maria G Signorini
Computational and Mathematical Methods in Medicine|March 19, 2014
Monitoring fetal heart rate during pregnancy: contributions from advanced signal processing and wearable technologyMaria G Signorini, Andrea Fanelli, Giovanni Magenes
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
Study of neuronal networks development from in-vitro recordings: A Granger causality based approachJacopo Lamanna, Federico Esposti, Maria G Signorini
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|January 18, 2020
An Efficient Algorithm for the Extraction of Fetal ECG from Standard and Non-Standard Multi Abdominal Maternal LeadsNicolo Pini, Giovanni Magenes, Andrea Fanelli, et al.
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|September 10, 2022
A Novel Large Structured Cardiotocographic DatabaseEdoardo Spairani, Beniamino Daniele, Giovanni Magenes, et al.
Computational Intelligence and Neuroscience|August 28, 2012
Detection of fractal behavior in temporal series of synaptic quantal release events: a feasibility studyJacopo Lamanna, Antonio Malgaroli, Sergio Cerutti, et al.
IEEE Transactions on Bio-Medical Engineering|January 13, 2006
Comparison of entropy-based regularity estimators: application to the fetal heart rate signal for the identification of fetal distressManuela Ferrario, Maria G Signorini, Giovanni Magenes, et al.
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