output
20022026
most citedDeriving the respiratory sinus arrhythmia from the heartbeat time series using Empirical Mode Decomposition

141 citations

16 papers

astro-ph.GA2026

CO Diffusion on Interstellar Amorphous Solid Water: A Computational Study

Francesco Benedetti, Mauro Satta, Tommaso Grassi +2

Surface chemistry on interstellar dust grains is recognized as a central component in astrochemical models, representing a plausible formation route for many of the observed comple…

physics.med-ph2025★ 1 cited

3D Mapping of Static Magnetic Field Magnitude and AxialComponents around a total body 3T MRI clinical scanner

Francesco Girardello, Maria Antonietta D'Avanzo, Massimo Mattozzi +3

Objective. The technology employed in magnetic resonance imaging (MRI) systems has evolved continuously, resulting in MRI scanners with stronger static magnetic fields (SMF) B0, fa…

cs.LG2021★ 1 cited

A causal learning framework for the analysis and interpretation of COVID-19 clinical data

Elisa Ferrari, Luna Gargani, Greta Barbieri +3

We present a workflow for clinical data analysis that relies on Bayesian Structure Learning (BSL), an unsupervised learning approach, robust to noise and biases, that allows to inc…

physics.med-ph2020★ 70 cited

Mechanical Ventilator Milano (MVM): A Novel Mechanical Ventilator Designed for Mass Scale Production in Response to the COVID-19 Pandemic

C. Galbiati, A. Abba, P. Agnes +145

Presented here is the design of the Mechanical Ventilator Milano (MVM), a novel mechanical ventilator designed for rapid mass production in response to the COVID-19 pandemic to add…

eess.IV2019★ 48 cited

3D Reconstruction of Coronary Arteries and Atherosclerotic Plaques based on Computed Tomography Angiography Images

Vassiliki I. Kigka, George Rigas, Antonis Sakellarios +10

The purpose of this study is to present a new semi-automated methodology for three-dimensional (3D) reconstruction of coronary arteries and their plaque morphology using Computed T…

physics.med-ph2018★ 48 cited

Multimodal Functional and Structural Brain Connectivity Analysis in Autism: A Preliminary Integrated Approach with EEG, fMRI and DTI

Bogdan Alexandru Cociu, Saptarshi Das, Lucia Billeci +5

This paper proposes a novel approach of integrating different neuroimaging techniques to characterize an autistic brain. Different techniques like EEG, fMRI and DTI have traditiona…

physics.med-ph2016★ 12 cited

Using Brain Connectivity Measure of EEG Synchrostates for Discriminating Typical and Autism Spectrum Disorder

Wasifa Jamal, Saptarshi Das, Koushik Maharatna +5

In this paper we utilized the concept of stable phase synchronization topography - synchrostates - over the scalp derived from EEG recording for formulating brain connectivity netw…

q-bio.MN2013★ 50 cited

A combination of transcriptional and microRNA regulation improves the stability of the relative concentrations of target genes

Andrea Riba, Carla Bosia, Mariama El Baroudi +2

It is well known that, under suitable conditions, microRNAs are able to fine tune the relative concentration of their targets to any desired value. We show that this function is pa…

q-bio.MN2012★ 4 cited

Gene autoregulation via intronic microRNAs and its functions

Carla Bosia, Matteo Osella, Mariama El Baroudi +2

Background: MicroRNAs, post-transcriptional repressors of gene expression, play a pivotal role in gene regulatory networks. They are involved in core cellular processes and their d…

cond-mat.soft2012★ 15 cited

High frequency poroelastic waves in hydrogels

Piero Chiarelli, Antonio Lanatà, Claudio Domenici +1

In this work a continuum model for high frequency poroelastic longitudinal waves in hydrogels is presented. A viscoelastic force describing the interaction between the polymer netw…

math.GT2010

Branched covers of the sphere and the prime-degree conjecture

Maria Antonietta Pascali, Carlo Petronio

To a branched cover between closed, connected and orientable surfaces one associates a "branch datum", which consists of the two surfaces, the total degree d, and the partitions of…

q-bio.BM2010★ 76 cited

Intuitive representation of surface properties of biomolecules using BioBlender

Raluca Mihaela Andrei, Marco Callieri, Maria Francesca Zini +4

In this and the associated article 'BioBlender: Fast and Efficient All Atom Morphing of Proteins Using Blender Game Engine', by Zini et al., we present BioBlender, a complete instr…

physics.plasm-ph2004

Impact of dissipative effects on the macroscopic evolution of a Vlasov system

Laura Galeotti, Francesco Califano

Numerical diffusion is introduced by any numerical scheme as soon as small scales fluctuations, generated during the dynamical evolution of a collisionless plasma, become comparabl…

physics.plasm-ph2004

Propagation of finite amplitude electrostatic disturbances in an inhomogeneous magnetized plasma

Maurizio Lontano, Laura Galeotti, Francesco Califano

A 1D2V open boundary Vlasov-Ampere code has been implemented with the aim of making a detailed investigation of the propagation of finite amplitude electromagnetic disturbances in…

q-bio.TO2003★ 141 cited

Deriving the respiratory sinus arrhythmia from the heartbeat time series using Empirical Mode Decomposition

R. Balocchi, D. Menicucci, E. Santarcangelo +4

Heart rate variability (HRV) is a well-known phenomenon whose characteristics are of great clinical relevance in pathophysiologic investigations. In particular, respiration is a po…

cond-mat.soft2002

Short- and Long-Term Statistical Properties of Heartbeat Time-Series in Healthy and Pathological Subjects

Paolo Allegrini, Rita Balocchi, Santi Chillemi +3

We analize heartbeat time-series corresponding to several groups of individuals (healthy, heart transplanted, with congestive heart failure (CHF), after myocardial infarction (MI),…