Search results for "ingegneria"

showing 10 items of 1227 documents

Modeling in cardiovascular biomechanics

2010

In this review, we briefly summarize some of Professor K.R. Rajagopal's contributions to the field of cardiovascular mechanics and highlight some applications that have employed his theories and have expanded the ability to model the complex behaviors that characterize biological tissues. His contributions, spawning directly from the classical nonlinear theories of mechanics, have had general impact in diverse fields of engineering. Within biomechanics per se, Rajagopal's efforts have provided state-of-the-art modeling tools not only to characterize tissues, such as blood vessels, cerebral aneurysms, or blood, but also to characterize their evolution, i.e. vessel growth and remodeling or bl…

Cardiovascular biomechanicsBlood clottingContinuum mechanicsComputer scienceMechanical EngineeringConstitutive equationGeneral EngineeringBiomechanicsSettore ING-IND/34 - Bioingegneria IndustrialeCardiovascular mechanicsViscoelasticityElasticityMixture theoryTheoretical physicsMixture theoryContinuum mechanicMechanics of MaterialsGeneral Materials ScienceStatistical physicsRheologyConstitutive equation
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PLLA scaffolds produced by thermally induced phase separation (TIPS) allow human chondrocyte growth and extracellular matrix formation dependent on p…

2016

Damage of hyaline cartilage species such as nasoseptal or joint cartilage requires proper reconstruction, which remains challenging due to the low intrinsic repair capacity of this tissue. Implantation of autologous chondrocytes in combination with a biomimetic biomaterial represents a promising strategy to support cartilage repair. The aim of this work was to assess the viability, attachment, morphology, extracellular matrix (ECM) production of human articular and nasoseptal chondrocytes cultured in vitro in porous poly(L-lactic) (PLLA) scaffolds of two selected pore sizes (100 and 200 μm). The PLLA scaffolds with 100 and 200 μm pore sizes were prepared via ternary thermally induced ph…

Cartilage ArticularMaterials sciencePolyesters0206 medical engineeringType II collagenBioengineeringCondensed Matter Physic02 engineering and technologyChondrocyteBiomaterialsExtracellular matrixChondrocytesTissue engineeringmedicineHumansMechanics of MaterialCells CulturedAggrecanType II collagenSettore ING-IND/24 - Principi Di Ingegneria ChimicaTissue EngineeringTissue ScaffoldsHyaline cartilageMechanical EngineeringCartilageSettore ING-IND/34 - Bioingegneria IndustrialeAnatomy021001 nanoscience & nanotechnology020601 biomedical engineeringExtracellular MatrixArticular chondrocyteCartilagemedicine.anatomical_structureMechanics of MaterialsBiophysicsPoly(L)lactic acidMaterials Science (all)0210 nano-technologyPorosityNasoseptal chondrocyteType I collagenMaterials Science and Engineering: C
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Assessing complexity and causality in heart period variability through a model-free data-driven multivariate approach

2017

The aim of this study is to emphasize the importance of model-free data-driven mul- tivariate approaches in describing HP variability and cardiovascular control mechanisms responsible for inducing HP changes via modifications of different cardiovascular vari- ables such as SAP and RESP. The goal was achieved through the application, a previously proposed model-free data-driven multivariate framework devised to assess complexity and causality over a multivariate set composed by several, simultaneously recorded, car- diovascular variability series (Porta et al., 2014). The approach was applied to assess the complexity of the cardiac control, through the evaluation of the amount of irregularit…

Causality (physics)Complexity causalityMultivariate statisticsSettore ING-INF/06 - Bioingegneria Elettronica E InformaticaEconometricsHeart period variabilityModel freeMathematicsData-driven
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Linear and nonlinear parametric model identification to assess granger causality in short-term cardiovascular interactions

2008

We assessed directional relationships between short RR interval and systolic arterial pressure (SAP) variability series according to the concept of Granger causality. Causality was quantified as the predictability improvement (PI) of a time series obtained when samples of the other series were used for prediction, i.e. moving from autoregressive (AR) to AR exogenous (ARX) prediction. AR and ARX predictions were performed both by linear and nonlinear parametric models. The PIs of RR given SAP and of SAP given RR, measuring baroreflex and mechanical couplings, were calculated in 15 healthy subjects in the resting supine and upright tilt positions. Using nonlinear models we found a bilateral i…

Causality (physics)Nonlinear systemSeries (mathematics)Autoregressive modelGranger causalityStatisticsParametric modelSettore ING-INF/06 - Bioingegneria Elettronica E InformaticaComputer Science Applications1707 Computer Vision and Pattern RecognitionPredictabilityTime seriesCardiology and Cardiovascular MedicineMathematics
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Need of causal analysis for assessing phase relationships in closed loop interacting cardiovascular variability series

2003

The phase spectra obtained by the classical closed loop autoregressive model (2AR) and by an open loop autoregressive model (ARXAR) were compared to shed light on the need of introducing causality in the assessment of the delay between RR and arterial pressure oscillations. The reliability of the two approaches was tested in simulation and real data setting. In simulation, the coupling strength of a bivariate closed loop process was adjusted to obtain a range of working conditions from open to closed loop. In open loop condition, 2AR and ARXAR phases were comparable and in agreement with the imposed delay. In closed loop condition, ARXAR model returned the imposed delays, while 2AR showed a…

Causality (physics)Range (mathematics)Series (mathematics)Autoregressive modelControl theorySettore ING-INF/06 - Bioingegneria Elettronica E InformaticaPhase (waves)Open-loop controllerComputer Science Applications1707 Computer Vision and Pattern RecognitionBivariate analysisCardiology and Cardiovascular MedicineCross-spectrumMathematics
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Letter by Masè et al Regarding Article, "Granger Causality-Based Analysis for Classification of Fibrillation Mechanisms and Localization of Rotationa…

2020

CausalityFibrillationGranger causalitybusiness.industryPhysiology (medical)Settore ING-INF/06 - Bioingegneria Elettronica E InformaticaarrhthmiasmedicineEconometricsmedicine.symptomCardiology and Cardiovascular MedicinebusinessArticleCirculation. Arrhythmia and electrophysiology
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A new Framework for the Spectral Information Decomposition of Multivariate Gaussian Processes

2021

: Different information-theoretic measures are available in the literature for the study of pairwise and higher-order interactions in multivariate dynamical systems. While these measures operate in the time domain, several physiological and non-physiological systems exhibit a rich oscillatory content that is typically analyzed in the frequency domain through spectral and cross-spectral approaches. For Gaussian systems, the relation between information and spectral measures has been established considering coupling and causality measures, but not for higher-order interactions. To fill this gap, in this work we introduce an information-theoretic framework in the frequency domain to quantify t…

CausalityTime-frequency analysisTime series analysisRedundancyGaussian processesTime measurementPhysiologyElectroencephalographySettore ING-INF/06 - Bioingegneria Elettronica E InformaticaNormal DistributionHumansSettore FIS/07 - Fisica Applicata(Beni Culturali Ambientali Biol.e Medicin)
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GTVcut for neuro-radiosurgery treatment planning: an MRI brain cancer seeded image segmentation method based on a cellular automata model

2018

Despite of the development of advanced segmentation techniques, achieving accurate and reproducible gross tumor volume (GTV) segmentation results is still an important challenge in neuro-radiosurgery. Nowadays, magnetic resonance imaging (MRI) is the most prominent modality in radiation therapy for soft-tissue anatomical districts. Gamma Knife stereotactic neuro-radiosurgery is a minimally invasive technology for dealing with inaccessible or insufficiently treated tumors with traditional surgery or radiotherapy. During a treatment planning phase, the GTV is generally contoured by experienced neurosurgeons and radiation oncologists using fully manual segmentation procedures on MR images. Unf…

Cellular automataBrain cancersING-INF/06 - BIOINGEGNERIA ELETTRONICA E INFORMATICABrain cancers; Cellular automata; Computer-assisted segmentation; Gamma Knife neuro-radiosurgery; MR imagingComputer sciencemedicine.medical_treatment02 engineering and technologyBrain cancerRadiosurgeryING-INF/05 - SISTEMI DI ELABORAZIONE DELLE INFORMAZIONI030218 nuclear medicine & medical imaging03 medical and health sciences0302 clinical medicine0202 electrical engineering electronic engineering information engineeringmedicineSegmentationRadiation treatment planningModality (human–computer interaction)medicine.diagnostic_testbusiness.industryComputer Science ApplicationComputer-assisted segmentationINF/01 - INFORMATICAMagnetic resonance imagingPattern recognitionGamma Knife neuro-radiosurgeryComputer Science Applications1707 Computer Vision and Pattern RecognitionImage segmentationCellular automatonComputer Science ApplicationsRadiation therapy020201 artificial intelligence & image processingComputer Vision and Pattern RecognitionArtificial intelligencebusinessMR imaging
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Computation of Mean Cerebral Blood Flow Velocity for the Assessment of Cerebral Autoregulation: Comparison of Different Strategies

2019

Cerebral autoregulation (CA) is a complex mechanism stabilizing cerebral blood flow (CBF) against arterial pressure (AP) changes. CBF is commonly surrogated with the CBF velocity (CBFV) recorded via transcranial Doppler device from the middle cerebral artery. Most of the studies evaluating CA compute mean CBFV (MCBFV) on a beat-to-beat basis along with mean AP (MAP), but there is not a standard approach to derive MCBFV. In this study, we compare three different strategies to calculate MCBFV: i) between two consecutive diastolic points detected on the CBFV signal (MCBFVCBFV); ii) between two consecutive diastolic points detected on the AP signal (MCBFVAP); iii) between two consecutive R-wave…

Cerebral autoregulationSettore ING-INF/06 - Bioingegneria Elettronica E Informatica
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Long Term Efficiency Analysis of Infiltration Trenches Subjected to Clogging

2018

Abstract: In recent years, limitations linked to traditional urban drainage schemes have been pointed out and new approaches were developed introducing more natural methods for retaining and/or disposing of stormwater. Such practices include infiltration and storage tanks in order to reduce the peak flow and retain part of the polluting components. The impact of such practices on stormwater quantity and quality is not easily assessable because of the complexity of physical and chemical processes involved. In such cases, integrated urban drainage models may play a relevant role providing tools for long term analysis. In this study, the effect of the clogging phenomenon has been assessed by m…

Chemical processCloggingInfiltration (hydrology)Settore ICAR/03 - Ingegneria Sanitaria-AmbientaleBest Management Practices water quality drainage system infiltration integrated urban drainage managementStorage tankStormwaterEnvironmental scienceKeywords: Best management practices Water quality Drainage system Infiltration Integrated urban drainage managementDrainageCivil engineeringPercolation trench
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