Search results for "rill"

showing 10 items of 1272 documents

Device for Processing Micro-bores by Electrical Discharge Machining

2021

In recent years, there has been a growing trend to miniaturization parts. As a result, the processing technology must be partially evolved to produce a small surface, and then a microscopic surface. There are many of these technologies, and each has its advantages and disadvantages in the industry. Among these technologies, electric shock processing is used as an alternative with the required precision. Processing of very small wells by the method of electric emission is similar to that used in the processing of normal-sized machines and will be noted on paper. In this research, the authors developed a device for drilling holes 0.01–1 mm in diameter that can be installed in traditional non-…

Surface micromachiningElectrical discharge machiningMaterials scienceElectric shockMicro holesmedicineMiniaturizationMechanical engineeringDrillingmedicine.disease
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Adsorption of dissolved organic matter on clay minerals as assessed by infra-red, CPMAS 13C NMR spectroscopy and low field T1 NMR relaxometry

2011

Abstract Dissolved organic matter (DOM) is a very important environmental constituent due to its role in controlling factors for soil formation, mineral weathering and pollutant transport in the environment. Prediction of DOM physical–chemical properties is achieved by studying its chemical structure and spatial conformation. In the present study, dissolved organic matter extracted from compost obtained from the organic fraction of urban wastes (DOM-P) has been analysed by FT-IR, CPMAS 13C NMR spectroscopy and 1H T1 NMR relaxometry with fast field cycling (FFC) setup. While the first two spectroscopic techniques revealed the chemical changes of dissolved organic matter after adsorption eith…

T1 NMR relaxometryRelaxometryMineralCompostDOM; CPMAS 13C NMR; T1 NMR relaxometrySettore AGR/13 - Chimica Agrariaengineering.materialFT-IRchemistry.chemical_compoundMontmorilloniteAdsorptionchemistryGeochemistry and PetrologyEnvironmental chemistryDissolved organic carbonCPMAS 13C NMRengineeringOrganic chemistryKaoliniteDissolved organic matterRelaxometryClay mineralsDOMOrganic Geochemistry
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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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Cerebrovascular risk factors and clinical classification of strokes

2005

Cerebrovascular risk represents a progressive and evolving concept owing to the particular distribution of risk factors in patients with ischemic stroke and in light of the newest stroke subtype classifications that account for pathophysiological, instrumental, and clinical criteria. Age represents the strongest nonmodifiable risk factor associated with ischemic stroke, while hypertension constitutes the most important modifiable cerebrovascular risk factor, confirmed by a host of epidemiological data and by more recent intervention trials of primary (HOT, Syst-Eur, LIFE) and secondary (PROGRESS) prevention of stroke in hypertensive patients. To be sure, a curious relationship exists betwee…

TOAST Classificationmedicine.medical_specialtyIschemiaHyperuricemiaDiabetes ComplicationsFramingham Heart StudyRisk FactorsDiabetes mellitusInternal medicineAtrial FibrillationEpidemiologymedicineAlbuminuriaHumansCarotid StenosisObesitycardiovascular diseasesRisk factorStrokeInflammationbusiness.industrySmokingstroke TOAST classificationAtrial fibrillationmedicine.diseaseStrokeProteinuriaCholesterolHypertensionCardiologyPhysical therapyHypertrophy Left VentricularCardiology and Cardiovascular Medicinebusiness
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2015

Background and purpose Silent atrial fibrillation (AF) and tachycardia (AT) are considered precursors of ischaemic stroke. Therefore, detection of paroxysmal atrial rhythm disorders is highly relevant, but is clinically challenging. We aimed to evaluate the diagnostic value of natriuretic peptide levels in the detection of paroxysmal AT/AF in a pilot study. Methods Natriuretic peptide levels were analysed in two independent patient cohorts (162 patients with arterial hypertension or other cardiovascular risk factors and 82 patients with retinal vessel disease). N-terminal-pro-brain natriuretic peptide (NT-proBNP) and BNP were measured before the start of a 7-day Holter monitoring period car…

TachycardiaPediatricsmedicine.medical_specialtybusiness.industrymedicine.drug_classParoxysmal atrial fibrillationArea under the curveAtrial fibrillation030204 cardiovascular system & hematologymedicine.disease3. Good health03 medical and health sciences0302 clinical medicineInternal medicinemedicineCardiologyNatriuretic peptideIn patientSinus rhythmcardiovascular diseasesmedicine.symptomCardiology and Cardiovascular MedicinebusinessStroke030217 neurology & neurosurgeryOpen Heart
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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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