Search results for "Atrial"

showing 10 items of 564 documents

RENAL SALT WASTING: UNA SINDROME DA INAPPROPRIATA SECREZIONE DI URODILATINA? UNO STUDIO PILOTA

2022

La Renal Salt Wasting Syndrome (RSW) è una sindrome clinica con caratteristiche di laboratorio che si sovrappongono completamente alla sindrome da secrezione inappropriata di ADH (SIADH). La differenza fondamentale tra le due sindromi risiede nel volume extracellulare (ECV), ridotto nella RSW e normale o leggermente aumentato nella SIADH. Le difficoltà nella diagnosi differenziale di questa sindrome e nella comprensione del preciso meccanismo patogenetico hanno contribuito a mettere in discussione l'esistenza stessa di RSW. Considerando le caratteristiche della RSW, è stato studiato il possibile ruolo dei peptidi natriuretici per spiegare la sua patogenesi come ANP e BNP, con risultati inso…

Settore MED/14 - NefrologiakidneySettore MED/09 - Medicina Internanatriuretic peptidehyponatremianatriuriaiposodiemiasodiemiafluid balancepeptidi natriureticiurodilatinasodiopeptide natriuretico atrialeurodilatinatrial natriuretic peptidesaltbilancio idricosodiumanp
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A method for quantifying atrial fibrillation organization based on wave-morphology similarity

2002

A new method for quantifying the organization of single bipolar electrograms recorded in the human atria during atrial fibrillation (AF) is presented. The algorithm relies on the comparison between pairs of local activation waves (LAWs) to estimate their morphological similarity, and returns a regularity index (/spl rho/) which measures the extent of repetitiveness over time of the detected activations. The database consisted of endocardial data from a multipolar basket catheter during AF and intraatrial recordings during atrial flutter. The index showed maximum regularity (/spl rho/=1) for all atrial flutter episodes and decreased significantly when increasing AF complexity as defined by W…

Signal processingBundle of Hismedicine.medical_specialtyMorphological similarityAtrial fibrillation (AF)Biomedical EngineeringSensitivity and SpecificityPattern Recognition AutomatedElectrocardiographySimilarity (network science)Heart RateInternal medicineAtrial Fibrillationotorhinolaryngologic diseasesmedicineHumansClinical treatmentWaveform morphologyMathematicsmedicine.diagnostic_testMinimum distanceModels CardiovascularReproducibility of ResultsSignal Processing Computer-AssistedAtrial fibrillationEndocardial signalmedicine.diseaseTachyarrhythmia organizationCardiologysense organsRhythm classificationBasket catheterElectrocardiographyAlgorithmsAtrial flutterBiomedical engineeringIEEE Transactions on Biomedical Engineering
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An Automatic System for the Analysis and Classification of Human Atrial Fibrillation Patterns from Intracardiac Electrograms

2008

This paper presents an automatic system for the analysis and classification of atrial fibrillation (AF) patterns from bipolar intracardiac signals. The system is made up of: 1) a feature- extraction module that defines and extracts a set of measures potentially useful for characterizing AF types on the basis of their degree of organization; 2) a feature-selection module (based on the Jeffries-Matusita distance and a branch and bound search algorithm) identifying the best subset of features for discriminating different AF types; and 3) a support vector machine technique-based classification module that automatically discriminates the AF types according to the Wells' criteria. The automatic s…

Signal processingComputer scienceFeature extractionBiomedical EngineeringFeature extraction and selectionFeature selectionSensitivity and SpecificityIntracardiac injectionPattern Recognition AutomatedArtificial IntelligenceSearch algorithmAtrial FibrillationmedicineHumansDiagnosis Computer-AssistedIntracardiac ElectrogramArrhythmia organizationSignal processingmedicine.diagnostic_testbusiness.industrySupport vector machines (SVMs)Reproducibility of ResultsPattern recognitionAtrial fibrillationHuman atrial fibrillationmedicine.diseaseSupport vector machineSettore ING-INF/06 - Bioingegneria Elettronica E InformaticaAutomatic classificationArtificial intelligenceIntracardiac electrogrambusinessElectrocardiographyAlgorithmsIEEE Transactions on Biomedical Engineering
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Complexity analysis of experimental cardiac arrhythmia

2014

International audience; To study the cardiac arrhythmia, an in vitro experimental model and Multielectrodes Array (MEA) are used. This platform serves as an intermediary of the electrical activities of cardiac cells and the signal processing / dynamics analysis. Through it the extracellular potential of cardiac cells is acquired, allowing a real-time monitoring / analyzing. Since MEA has 60 electrodes / channels dispatched in a rectangular region, it allows real-time monitoring and signal acquisition on multiple sites. The in vitro experimental model (cardiomyocytes cultures from new-born rats' heart) is directly prepared on the MEA. This carefully prepared culture has similar parameters as…

Signal processing[ INFO.INFO-TS ] Computer Science [cs]/Signal and Image Processing[INFO.INFO-TS] Computer Science [cs]/Signal and Image ProcessingComputer scienceCardiac arrhythmiaAtrial fibrillation[ SPI.SIGNAL ] Engineering Sciences [physics]/Signal and Image processing030204 cardiovascular system & hematologymedicine.disease01 natural sciencesApproximate entropySignal acquisitionSample entropy03 medical and health sciencesExtracellular potential0302 clinical medicine[INFO.INFO-TS]Computer Science [cs]/Signal and Image Processing0103 physical sciencesmedicinecardiovascular systemEntropy (information theory)010306 general physics[SPI.SIGNAL]Engineering Sciences [physics]/Signal and Image processing[SPI.SIGNAL] Engineering Sciences [physics]/Signal and Image processingBiomedical engineering
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Quantification of synchronization during atrial fibrillation by Shannon entropy: Validation in patients and computer model of atrial arrhythmias

2005

Atrial fibrillation (AF), a cardiac arrhythmia classically described as completely desynchronized, is now known to show a certain amount of synchronized electrical activity. In the present work a new method for quantifying the level of synchronization of the electrical activity recorded in pairs of atrial sites during atrial fibrillation is presented. A synchronization index (Sy) was defined by quantifying the degree of complexity of the distribution of the time delays between sites by Shannon entropy estimation. The capability of Sy to discriminate different AF types in patients was assessed on a database of 60 pairs of endocardial recordings from a multipolar basket catheter. The analysis…

Signal processingmedicine.medical_specialtyTime delaysPhysiologyEntropyBiomedical EngineeringBiophysicsSensitivity and SpecificitySynchronizationHeart Conduction SystemArrhythmia (mechanisms)Internal medicinePhysiology (medical)medicineHumansIn patientDiagnosis Computer-AssistedMathematicsBody Surface Potential MappingModels CardiovascularCardiac arrhythmiaReproducibility of ResultsAtrial fibrillationAtrial arrhythmiasComputer simulationmedicine.diseaseAtrial fibrillationElectrophysiologyElectrophysiologymedicine.anatomical_structureBiophysicCardiologyRight atriumAlgorithms
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Speckle tracking analysis: a new tool for left atrial function analysis in systemic hypertension: an overview

2014

Speckle tracking echocardiography (STE) is an imaging technique applied to the analysis of left atrial function. STE provides a non-Doppler, angle-independent and objective quantification of left atrial myocardial deformation. Data regarding feasibility, accuracy and clinical applications of left atrial strain are rapidly gathering. This review describes the fundamental concepts of left atrial STE, illustrates its pathophysiological background and discusses its emerging role in systemic arterial hypertension.

Speckle tracking analysis; left atrial function; hypertensionhypertensionEchocardiographySpeckle tracking analysiHumansAtrial Function LeftHeart Atrialeft atrial functionCardiology and Cardiovascular MedicineSettore MED/11 - Malattie Dell'Apparato Cardiovascolare
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Registration and fusion of segmented left atrium CT images with CARTO electrical maps for the ablative treatment of atrial fibrillation

2005

This study aims to extract the interior surface of the left atrium (LA) and pulmonary veins (PVs) from threedimensional tomographic data and to integrate it with LA CARTO electrical maps. The separation of LA and PVs from other overlapping structures of the heart was performed processing 3D CT data by marker-controlled watershed segmentation and surface extraction. CARTO maps were then registered on the L A internal surface by a stochastic optimization algorithm based on simulated annealing. The residual registration error resulted inferior to 3 mm. The integration between electrophysiological and high resolved anatomic information of LA results feasible and may constitute a significant sup…

Stochastic optimization algorithmmedicine.medical_specialtybusiness.industryLeft atriumImage registrationAtrial fibrillationImage segmentationmedicine.diseasemedicine.anatomical_structureAblative caseSettore ING-INF/06 - Bioingegneria Elettronica E Informaticacardiovascular systemmedicineRadiologyOverlapping structuresbusinessCardiology and Cardiovascular MedicineSoftwareBiomedical engineering
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Mechanism of Sinoatrial Node Dysfunction in a RyR 2 R420Q Mouse Model Ofcatecholaminergic Polymorphic Ventricular Tachycardia

2017

Catecholaminergic polymorphic ventricular tachycardia (CPVT) is a genetic disease characterized by stress-induced syncope and/or sudden death in young individuals with structurally normal heart. More than 150 mutations located in the cardiac Ca2+ release channel (type-2 ryanodine receptor, RyR2) gene are related to CPVT. Besides ventricular tachycardia (VT) under stress, sinoatrial node (SAN) dysfunction is frequently observed in CPVT patients. However, the cellular mechanisms remain underexplored. We created a KI mice model bearing a mutation in the N-terminal portion of the RyR2 found in a CPVT family, RyR2(R420Q). ECGs were recorded in KI and WT littermates in resting condition and after…

Supraventricular arrhythmiamedicine.medical_specialtyRyanodine receptorChemistrySinoatrial nodeBiophysicsDiastoleCatecholaminergic polymorphic ventricular tachycardiamedicine.diseaseVentricular tachycardiaRyanodine receptor 2Sudden deathmedicine.anatomical_structureEndocrinologyInternal medicinecardiovascular systemmedicineBiophysical Journal
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Morphometry and comparative histology of sinus and atrioventricular nodes in humans and pigs and their relevance in the prevention of nodal arrhythmi…

2019

The cardiac conduction system is a network structure that allows the initiation and fast propagation of electrical impulses that trigger the electrical depolarization of the myocardial tissue. The purpose of this work is to study the histological and morphometric characteristics of the different components of the sinus and atrioventricular nodes in humans and pigs and their relationship with supraventricular arrhythmias. In this study, we describe the morphometry of the sinus and atrioventricular nodes of 10 adult humans and 10 pig hearts. A computerized morphometric study has been carried out, where we determined the number of cells that compose the nodes as well as different parameters re…

Swine040301 veterinary sciencesBiology0403 veterinary science03 medical and health sciencesHeart Conduction SystemmedicineAnimalsHumansdiameter [Area]Intermediate filamentsHeart AtriaHistology Comparativecardiovascular diseasesSinus (anatomy)Sinoatrial Node030304 developmental biology0303 health sciencesSupraventricular arrhythmiaGeneral VeterinaryT cellArrhythmias CardiacHistologyDepolarization04 agricultural and veterinary sciencesAnatomyAtrioventricular nodemedicine.anatomical_structureConduction systemAtrioventricular NodeP cellcardiovascular systemDesminElectrical conduction system of the heartNODALResearch in Veterinary Science
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Using Machine Learning to Characterize Atrial Fibrotic Substrate From Intracardiac Signals With a Hybrid in silico and in vivo Dataset

2021

[EN] In patients with atrial fibrillation, intracardiac electrogram signal amplitude is known to decrease with increased structural tissue remodeling, referred to as fibrosis. In addition to the isolation of the pulmonary veins, fibrotic sites are considered a suitable target for catheter ablation. However, it remains an open challenge to find fibrotic areas and to differentiate their density and transmurality. This study aims to identify the volume fraction and transmurality of fibrosis in the atrial substrate. Simulated cardiac electrograms, combined with a generalized model of clinical noise, reproduce clinically measured signals. Our hybrid dataset approach combines in silico and clinic…

TECNOLOGIA ELECTRONICABidomainMachine learningDensityCardiac modelingddc:620Atrial fibrillationFibrosisEngineering & allied operationsTransmurality
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