Search results for "Fibril"

showing 10 items of 836 documents

Non-invasive localization of atrial ectopic beats by using simulated body surface P-wave integral maps

2017

Non-invasive localization of continuous atrial ectopic beats remains a cornerstone for the treatment of atrial arrhythmias. The lack of accurate tools to guide electrophysiologists leads to an increase in the recurrence rate of ablation procedures. Existing approaches are based on the analysis of the P-waves main characteristics and the forward body surface potential maps (BSPMs) or on the inverse estimation of the electric activity of the heart from those BSPMs. These methods have not provided an efficient and systematic tool to localize ectopic triggers. In this work, we propose the use of machine learning techniques to spatially cluster and classify ectopic atrial foci into clearly diffe…

TachycardiaPhysiologyComputer sciencemedicine.medical_treatment02 engineering and technology030204 cardiovascular system & hematologyBioinformaticsBiochemistryACTIVATIONElectrocardiography0302 clinical medicineHeart RateAtrial FibrillationMedicine and Health SciencesImage Processing Computer-AssistedDEPOLARIZATIONBody surface P-wave integral mapsCardiac AtriaAtrial ectopic beatsMultidisciplinarymedicine.diagnostic_testORIGINApplied MathematicsSimulation and ModelingP waveBody Surface Potential MappingQRHeartHUMANSaarhythmiasAblationANATOMYBioassays and Physiological Analysismachine learningPhysical SciencesAtrial ectopic beatsMedicineAtrial Premature ComplexesFIBRILLATIONmedicine.symptomTACHYCARDIAAlgorithmsResearch ArticleclusteringTachycardia Ectopic AtrialComputer and Information SciencesSVMScienceCORONARY-SINUS0206 medical engineeringCardiologyResearch and Analysis MethodsMembrane PotentialTECNOLOGIA ELECTRONICAMachine Learning Algorithms03 medical and health sciencesArtificial IntelligenceHeart Conduction SystemSupport Vector MachinesBody surfacemedicineComputer SimulationHeart AtriaCoronary sinusFibrillationbusiness.industryElectrophysiological TechniquesBiology and Life SciencesPattern recognitionAtrial arrhythmiasELECTROPHYSIOLOGY020601 biomedical engineeringMODELElectrophysiologyCardiovascular AnatomyCardiac ElectrophysiologyArtificial intelligencebusinessElectrocardiographyBiomarkersMathematics
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Ventricular Fibrillation and Tachycardia detection from surface ECG using time-frequency representation images as input dataset for machine learning

2017

Parameter-less ventricular fibrillation detection with time-frequency representation.Time-frequency representations are treated as images for a classifier.A comparison for four classifiers demonstrates the validity of the proposed method.The proposed technique could be applied to any signal and research field.This is a novel approach to signal analysis. Background and objectiveTo safely select the proper therapy for Ventricullar Fibrillation (VF) is essential to distinct it correctly from Ventricular Tachycardia (VT) and other rhythms. Provided that the required therapy would not be the same, an erroneous detection might lead to serious injuries to the patient or even cause Ventricular Fibr…

TachycardiaSupport Vector MachineComputer scienceSpeech recognition0206 medical engineeringDatasets as TopicHealth Informatics02 engineering and technologyVentricular tachycardiaMachine learningcomputer.software_genreMachine LearningElectrocardiographyTachycardia0202 electrical engineering electronic engineering information engineeringmedicineHumansFibrillationbusiness.industrySignal Processing Computer-AssistedPattern recognitionmedicine.disease020601 biomedical engineeringComputer Science ApplicationsVentricular FibrillationVentricular fibrillation020201 artificial intelligence & image processingNeural Networks ComputerArtificial intelligencemedicine.symptombusinessClassifier (UML)computerSoftwareComputer Methods and Programs in Biomedicine
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Feasibility of Implantable Cardioverter Defibrillator Treatment in Five Patients With Familial Friedreich's Ataxia-A Case Series

2010

Friedreich's ataxia (FRA) is an autosomal recessive disease of the central nervous system that is associated with familial cardiomyopathy. Cardiac involvement is seen in more than 90% of the patients and is the most common cause of death in these patients. We present a case series and discuss the indications for implantable cardioverter defibrillator (ICD) implantation in FRA with review of the literature. Five pediatric patients who suffer from FRA (four female and one male, mean age 17.4 years) underwent ICD implantation between 2007 and 2008 in the University Hospital of Goettingen. The diagnosis of FRA was established by standard clinical criteria and proven in each case by genotyping a…

Tachycardiamedicine.medical_specialtyAtaxiamedicine.medical_treatmentBiomedical EngineeringCardiomyopathyMedicine (miscellaneous)Bioengineering030204 cardiovascular system & hematologySudden cardiac deathBiomaterialsAngina03 medical and health sciences0302 clinical medicineInternal medicinemedicine030212 general & internal medicinemedicine.diagnostic_testbusiness.industryRetrospective cohort studyGeneral MedicineImplantable cardioverter-defibrillatormedicine.disease3. Good healthCardiologymedicine.symptombusinessElectrocardiographyArtificial Organs
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The supraventricular tachycardias: Proposal of a diagnostic algorithm for the narrow complex tachycardias

2013

AbstractThe narrow complex tachycardias (NCTs) are defined by the presence in a 12-lead electrocardiogram (ECG) of a QRS complex duration less than 120ms and a heart rate greater than 100 beats per minute; those are typically of supraventricular origin, although rarely narrow complex ventricular tachycardias have been reported in the literature.As some studies document, to diagnose correctly the NCTs is an arduous exercise because sometimes those have similar presentation on the ECG. In this paper, we have reviewed the physiopathological, clinical, and ECG findings of all known supraventricular tachycardias and, in order to reduce the possible diagnostic errors on the ECG, we have proposed …

Tachycardiamedicine.medical_specialtyBeats per minuteAtrioventricular nodeAtrial flutterDiagnosis DifferentialElectrocardiographyHeart RateInternal medicineTachycardia SupraventricularHumansMedicinecardiovascular diseasesDiagnostic Errorsmedicine.diagnostic_testbusiness.industryAtrial fibrillationmedicine.diseaseAtrioventricular nodeAtrial fibrillationmedicine.anatomical_structureSupraventricular tachycardiaCardiologycardiovascular systemSupraventricular tachycardiaDifferential diagnosismedicine.symptombusinessCardiology and Cardiovascular MedicineElectrocardiographyAlgorithmAlgorithmsAtrial flutterJournal of Cardiology
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Supervised Analysis for Phenotype Identification: The Case of Heart Failure Ejection Fraction Class

2021

Artificial Intelligence is creating a paradigm shift in health care, with phenotyping patients through clustering techniques being one of the areas of interest. Objective: To develop a predictive model to classify heart failure (HF) patients according to their left ventricular ejection fraction (LVEF), by using available data from Electronic Health Records (EHR). Subjects and methods: 2854 subjects over 25 years old with a diagnosis of HF and LVEF, measured by echocardiography, were selected to develop an algorithm to predict patients with reduced EF using supervised analysis. The performance of the developed algorithm was tested in heart failure patients from Primary Care. To select the mo…

Technologymedicine.medical_specialtyphenotypeQH301-705.5heart failureBioengineering030204 cardiovascular system & hematologyArticleprimary care03 medical and health sciences0302 clinical medicineText miningLasso (statistics)Internal medicinemedicine030212 general & internal medicineMyocardial infarctionBiology (General)Cluster analysisEjection fractionbusiness.industryUnstable anginaTallergologyleft ventricular ejection fractionAtrial fibrillationartificial intelligencemedicine.disease3. Good healthRandom forestHeart failureCardiologysupervised analysisbusiness
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Identification of atrial fibrillation drivers by means of concentric ring electrodes

2022

The prevalence of atrial fibrillation (AF) has tripled in the last 50 years due to population aging. High-frequency (DFdriver) activated atrial regions lead the activation of the rest of the atria, disrupting the propagation wavefront. Fourier based spectral analysis of body surface potential maps have been proposed for DFdriver identification, although these approaches present serious drawbacks due to their limited spectral resolution for short AF epochs and the blurring effect of the volume conductor. Laplacian signals (BC-ECG) from bipolar concentric ring electrodes (CRE) have been shown to outperform the spatial resolution achieved with conventional unipolar recordings. Our aimed was to…

TecnologiaAtrial FibrillationBody Surface Potential MappingHumansHealth InformaticsHeart AtriaElectrodesSistema cardiovascularComputer Science ApplicationsComputers in Biology and Medicine
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An IoT and Fog Computing-Based Monitoring System for Cardiovascular Patients with Automatic ECG Classification Using Deep Neural Networks

2020

Telemedicine and all types of monitoring systems have proven to be a useful and low-cost tool with a high level of applicability in cardiology. The objective of this work is to present an IoT-based monitoring system for cardiovascular patients. The system sends the ECG signal to a Fog layer service by using the LoRa communication protocol. Also, it includes an AI algorithm based on deep learning for the detection of Atrial Fibrillation and other heart rhythms. The automatic detection of arrhythmias can be complementary to the diagnosis made by the physician, achieving a better clinical vision that improves therapeutic decision making. The performance of the proposed system is evaluated on a…

TelemedicineIoTComputer scienceInternet of Things02 engineering and technology030204 cardiovascular system & hematologyMachine learningcomputer.software_genrelcsh:Chemical technologyBiochemistryLoRaArticleAnalytical Chemistry03 medical and health sciencesElectrocardiography0302 clinical medicineFog computingAtrial FibrillationFog-AI0202 electrical engineering electronic engineering information engineeringmedicineHumanslcsh:TP1-1185Electrical and Electronic EngineeringInstrumentationMonitoring Physiologicbusiness.industryECGDeep learningAtrial fibrillationMonitoring systemCloud Computingmedicine.diseaseAtomic and Molecular Physics and Opticscardiovascular diseasesEdge-AIDeep neural networks020201 artificial intelligence & image processingArtificial intelligenceNeural Networks ComputerCommunications protocolbusinessInternet of ThingscomputerAlgorithmsSensors
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Early stages of test formation in larva of Ascidia malaca (Tunicata, Ascidiacea): ultrastructural and cytochemical investigations.

2003

Abstract The swimming larvae of ascidians are entirely covered by a hyalin coat called tunic, or test. This covering consists of two cuticular layers, C 1 and C 2 , which surround an inner compartment composed of an amorphous hyalin matrix with numerous fibrils dispersed inside. Data from the literature agree on the key role played by the cells of the larval ectodermic layer in the synthesis and secretion of larval test components. In the present article are reported ultrastructural and cytochemical investigations made during test formation in the swimming larva of Ascidia malaca . Besides confirming the role played by ectodermic cells during the early stages of test formation, the investig…

TestGeneral Physics and AstronomyMatrix (biology)FibrilStructural BiologyCompartment (development)AnimalsGeneral Materials ScienceUrochordataAscidiaceaGlycoproteinsAscidian larvaLarvabiologyHistocytochemistryfungiCell BiologyAnatomybiology.organism_classificationAscidiaMicroscopy ElectronUltrastructureLarvaCytochemistryUltrastructureBiophysicsCytochemistryProteoglycansMicron (Oxford, England : 1993)
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DECORIN EFFECTS ON PROTEOMIC PROFILING OF BREAST CANCER CELLS: AN UPDATED STUDY

2015

The malignant carcinomas are characterized by several capabilities acquired by the neoplastic cells, among which the ability to invade the extracellular matrix (ECM) and to establish a crosstalk with several ECM components. Under this respect, the extracellular microenvironment is an entity extraordinarily rich of information with opposite signals. Our group has long undertaken the study of the effects of ECM molecules on the behavior of cancer cells in vitro. Among the studied molecules, the decorin was found to exert a non-permissive effect on the growth and motility of the transfected tumor cells. The decorin, belongs to the family of small leucine-rich proteoglycans (SLRP) and is involv…

The malignant carcinomas are characterized by several capabilities acquired by the neoplastic cells among which the ability to invade the extracellular matrix (ECM) and to establish a crosstalk with several ECM components. Under this respect the extracellular microenvironment is an entity extraordinarily rich of information with opposite signals. Our group has long undertaken the study of the effects of ECM molecules on the behavior of cancer cells in vitro. Among the studied molecules the decorin was found to exert a non-permissive effect on the growth and motility of the transfected tumor cells. The decorin belongs to the family of small leucine-rich proteoglycans (SLRP) and is involved physiologically in the fibrillogenesis of collagen. In the last few year a new anti-oncogenic role has been proposed for decorin1. This study aimed to implement the knowledge on the effects of ectopic decorin on breast cancer cells using as a reference point the results already achieved by our research group2 on the experimental model format. By breast cancer cell line 8701-BC and its transfected clone DEC-C2. The extension of the proteomic analysis combined with the mass spectrometry allowed to triplicate the number of identified proteins in our model. Among the newly identified proteins were members of the classes of metabolic enzymes S100 family and cell motility proteins which revealed a net decrease in the decorin transfected cells. Of considerable importance is the observation that these classes of proteins are the most involved in metastatic progression. These results confirm and reinforce the anti-oncogenic role hypothesized for decorin. The work was co-funded by the Italian 5x1000 to COBS.DECORIN
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Synthesis of Nanofibrillated Cellulose by Combined Ammonium Persulphate Treatment with Ultrasound and Mechanical Processing

2018

Ammonium persulfate has been known as an agent for obtaining nanocellulose in recent years, however most research has focused on producing cellulose nanocrystals. A lack of research about combined ammonium persulfate oxidation and common mechanical treatment in order to obtain cellulose nanofibrils has been identified. The objective of this research was to obtain and investigate carboxylated cellulose nanofibrils produced by ammonium persulfate oxidation combined with ultrasonic and mechanical treatment. Light microscopy, atomic force microscopy (AFM), powder X-Ray diffraction (PXRD), Fourier-transform infrared spectroscopy (FTIR), thermogravimetric analysis (TGA) and Zeta potential measure…

Thermogravimetric analysisMaterials scienceoxidationGeneral Chemical EngineeringSonication02 engineering and technology010402 general chemistry01 natural sciencesArticleNanocelluloselcsh:ChemistryCrystallinitychemistry.chemical_compoundZeta potentialGeneral Materials ScienceCellulosenanocellulose021001 nanoscience & nanotechnologyhigh shear mixer0104 chemical scienceslcsh:QD1-999Kraft processchemistryChemical engineeringAmmonium persulfateammonium persulfatenanofibrils0210 nano-technologyNanomaterials
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