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Nicolò Pini
Researcher at Columbia University
Publications - 46
Citations - 214
Nicolò Pini is an academic researcher from Columbia University. The author has contributed to research in topics: Medicine & Computer science. The author has an hindex of 5, co-authored 24 publications receiving 84 citations. Previous affiliations of Nicolò Pini include Polytechnic University of Milan & Instituto Politécnico Nacional.
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Integrating machine learning techniques and physiology based heart rate features for antepartum fetal monitoring
TL;DR: validation of an accurate artificially intelligence framework for the diagnosis of IUGR condition in the antepartum period is provided and the employed physiology based heart rate features constitute an interpretable link between the machine learning results and the quantitative estimators of fetal wellbeing.
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Entropy Information of Cardiorespiratory Dynamics in Neonates during Sleep.
TL;DR: Heart rate, respiratory variability and their interrelationship in newborn infants are analyzed to characterize cardiorespiratory interactions in different sleep states (active vs. quiet) and HRV is higher in active sleep, while high frequency (HF) power characterizes more quiet sleep.
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Association Between Prenatal Exposure to Alcohol and Tobacco and Neonatal Brain Activity: Results From the Safe Passage Study.
Lauren C. Shuffrey,Michael M. Myers,Joseph R. Isler,Maristella Lucchini,Ayesha Sania,Nicolò Pini,J. David Nugent,Carmen Condon,Timothy N. Ochoa,Lucy Brink,Carlie du Plessis,Hein J. Odendaal,Morgan E. Nelson,Christa Friedrich,Jyoti Angal,Amy J. Elliott,Coen Groenewald,Larry Burd,William P. Fifer +18 more
TL;DR: This cohort study uses electroencephalography to examine the association of prenatal exposure to alcohol and tobacco smoking with brain activity in newborns.
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Characterization of cardiorespiratory phase synchronization and directionality in late premature and full term infants.
Maristella Lucchini,Nicolò Pini,Nicolò Pini,William P. Fifer,Nina Burtchen,Nina Burtchen,Maria G. Signorini +6 more
TL;DR: Results from this investigation show a different directionality profile as a function of GA and sleep state, which could provide a tool for the development of early markers of cardiorespiratory dysregulation in infants.
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Aperiodic electrophysiological activity in preterm infants is linked to subsequent autism risk.
Lauren C. Shuffrey,Nicolò Pini,M. Potter,Priscilla Springer,Maristella Lucchini,Yael K. Rayport,Ayesha Sania,Morgan R. Firestein,Lucy Brink,Joseph R. Isler,Hein Odendaal,William P. Fifer +11 more
TL;DR: Two electroencephalography parameters during infancy, absolute EEG power and aperiodic activity of the power spectral density (PSD) slope, in association with subsequent autism risk and cognitive ability in a diverse cohort of children born preterm in South Africa are examined.