Search results for "electrocardiogram"

showing 10 items of 21 documents

First-in-Human Percutaneous Circumferential Annuloplasty for Secondary Tricuspid Regurgitation

2020

Transcatheter therapies to treat tricuspid regurgitation are being developed, but few have attempted the gold standard of surgical repair: ring annuloplasty. We describe the first-ever fully percutaneous implantation of a circumferential, semirigid annuloplasty ring to treat massive secondary tricuspid regurgitation. (Level of Difficulty: Advanced.)

0301 basic medicinemedicine.medical_specialtyPercutaneousRDS ring delivery systemTR tricuspid regurgitationCase ReportRegurgitation (circulation)030105 genetics & heredityelectrocardiogramright ventricletricuspid valve03 medical and health sciences0302 clinical medicineClinical CaseTR - Tricuspid regurgitationmedicineDiseases of the circulatory (Cardiovascular) systemTVA tricuspid valve annuluscardiovascular diseasesSurgical repairTricuspid valvetreatmentbusiness.industryRing annuloplasty3-dimensionalTEE transesophageal echocardiographyGold standard (test)First in humanvalve repairCT computed tomographySurgerymedicine.anatomical_structureTTE transthoracic echocardiographyRC666-701cardiovascular systemTV tricuspid valveCardiology and Cardiovascular MedicinebusinessRCA right coronary artery030217 neurology & neurosurgeryJACC: Case Reports
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Design and Implementation of a Data Acquisition System for R Peak Detection in Electrocardiograms

2018

This paper presents a data acquisition system for the R peak detection in electrocardiograms. R wave is one of the most important sections of the QRS complex, which has an essential role in diagnosis of heart rhythm irregularities. This paper employs Hilbert transform and adaptive threshold technique for the detection of R-peak. The performance of the system was tested using standard ECG waveform records from the MIT-BIH arrhythmia database. In addition, tests were carried out using the sensors Single Lead Heart Rate Monitor for real-time data processing Design and Implementation of a Data Acquisition System for R Peak Detection in Electrocardiograms | Request PDF. Available from: https://w…

Adaptive ThresholdHilbert TransformElectrocardiogram
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Orderly display of limb lead ECGs raises Chinese intern’s diagnostic accuracy when determining frontal plane QRS axis

2019

Background: There is limited information on whether the orderly display of limb lead ECGs (electrocardiograms) can facilitate students to determine frontal plane QRS complex wave electrical axis. Objectives: The study investigated whether the orderly display of limb lead ECGs can raise Chinese undergraduate intern’s diagnostic accuracy when determining frontal plane axis. Design: A total of 147 fifth-year undergraduate interns aged between 21 and 25 years were randomly arranged into 2 groups: one group was given classically displayed ECGs of limb leads while the other group was given orderly displayed ECGs of limb leads. They were then taught to determine frontal plane axis with one of the …

AdultMaleChinamedicine.medical_specialtyShort CommunicationelectrocardiographykardiologiaDiagnostic accuracymedical teachingelectrocardiogrammedical learningEducationYoung AdultQRS complexInternal medicinemedicineHumanscardiovascular diseasesLead (electronics)ta315EKGMedical educationlcsh:LC8-6691lcsh:R5-920medicine.diagnostic_testlcsh:Special aspects of educationbusiness.industryClinical Clerkshipfood and beveragesta3141General Medicineta3121diagnostiikkaMedical teachingkoulutusCoronal planecardiovascular systemCardiologyFemaleQrs axisbusinesslcsh:Medicine (General)medical educationElectrocardiographycirculatory and respiratory physiologyMedical Education Online
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Prospective risk stratification of sudden cardiac death in Marfan's syndrome.

2013

Marfan syndrome (MFS) is a variable, autosomal-dominant disorder of the connective tissue. In MFS serious ventricular arrhythmias and sudden cardiac death (SCD) can occur. The aim of this prospective study was to reveal underlying risk factors and to prospectively investigate the association between MFS and SCD in a long-term follow-up.77 patients with MFS were included. At baseline serum N-terminal pro-brain natriuretic peptide (NT-proBNP), transthoracic echocardiogram, 12-lead resting ECG, signal-averaged ECG (SAECG) and a 24-h Holter ECG with time- and frequency domain analyses were performed. The primary composite endpoint was defined as SCD, ventricular tachycardia (VT), ventricular fi…

AdultMalecongenital hereditary and neonatal diseases and abnormalitiesmedicine.medical_specialtyCardiomyopathyVentricular tachycardiaRisk AssessmentSudden cardiac deathMarfan SyndromeYoung AdultInternal medicineClinical endpointMedicineHumanscardiovascular diseasesProspective StudiesUltrasonographybusiness.industryHazard ratioMiddle Agedmedicine.diseaseSignal-averaged electrocardiogramDeath Sudden CardiacVentricular fibrillationCardiologyFemaleTransthoracic echocardiogramCardiology and Cardiovascular MedicinebusinessFollow-Up StudiesInternational journal of cardiology
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Gabor frames for classification of paroxysmal and persistent atrial fibrillation episodes

2016

[EN] In this study, we propose a new classification method for early differentiation of paroxysmal and persistent atrial fibrillation episodes, i.e. those which spontaneously or with external intervention will return to sinus rhythm within 7 days of onset from the ones where the arrhythmia is sustained for more than 7 days. Today, clinicians provide patients classification once the course of the arrhythmia has been disclosed. This classification problem is dealt with in this study. We study a sparse representation of surface electrocardiogram signals by means of Gabor frames and afterwards we apply a linear discriminant analysis. Thus, we provide an early discrimination, obtaining promising…

AdultMalemedicine.medical_specialtyEXPRESION GRAFICA EN LA INGENIERIAmedicine.medical_treatment0206 medical engineeringBiomedical EngineeringBiophysicsCatheter ablation02 engineering and technology030204 cardiovascular system & hematologyPharmacological treatmentElectrocardiography03 medical and health sciences0302 clinical medicineInternal medicineHumansMedicineSinus rhythmAgedAged 80 and overbusiness.industrySignal Processing Computer-AssistedAtrial fibrillationMiddle Agedmedicine.diseaseLinear discriminant analysisAtrial fibrillation020601 biomedical engineeringElectrocardiogramPersistent atrial fibrillationCohortCatheter AblationCardiologyClassification methodsFemaleGabor framesbusinessMedical Engineering & Physics
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[Diagnostic performance of surface electrocardiogram in early detection of chagasic cardiomyopathy].

2013

Contrast-enhanced cardiac magnetic resonance imaging (CMR) allows early detection of myocardial involvement by Trypanosoma cruzi infection. The aim of our study was to assess the diagnostic performance of the surface electrocardiogram (ECG) in the early detection of Chagas' cardiomyopathy (CCM) compared with CMR.We included 43 asymptomatic patients (30 women, 42 ± 9.8 years), diagnosed of Chagas disease. The sample was divided into 2 groups according to the presence (n=17) or absence (n=26) of electrocardiographic abnormalities. All patients underwent CMR and late gadolinium enhancement (LGE) was used as a marker of early myocardial involvement.Six (14%) patients had a LGE significantly hig…

Chagas diseaseAdultChagas CardiomyopathyMalemedicine.medical_specialtyCardiomyopathyEarly detectionAsymptomaticSensitivity and SpecificityElectrocardiographyCardiac magnetic resonance imagingInternal medicinemedicineHumanscardiovascular diseasesAsymptomatic InfectionsRetrospective Studiesmedicine.diagnostic_testbusiness.industryMagnetic resonance imagingMiddle Agedmedicine.diseaseMagnetic Resonance ImagingSurface electrocardiogramEarly Diagnosiscardiovascular systemCardiologyFemalemedicine.symptombusinessElectrocardiographyMedicina clinica
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Advanced computation in cardiovascular physiology: New challenges and opportunities

2021

Recent developments in computational physiology have successfully exploited advanced signal processing and artificial intelligence tools for predicting or uncovering characteristic features of physiological and pathological states in humans. While these advanced tools have demonstrated excellent diagnostic capabilities, the high complexity of these computational 'black boxes’ may severely limit scientific inference, especially in terms of biological insight about both physiology and pathological aberrations. This theme issue highlights current challenges and opportunities of advanced computational tools for processing dynamical data reflecting autonomic nervous system dynamics, with a speci…

Computer scienceGeneral MathematicsComputationGeneral Physics and AstronomyelectrocardiogramMachine learningcomputer.software_genreComputer-AssistedHeart RateArtificial IntelligenceHumansInterpretabilitySignal processingbusiness.industryDeep learningGeneral Engineeringheart rate variabilitydeep learningSignal Processing Computer-Assistedcardiology; deep learning; electrocardiogram; heart rate variability; interpretability; respiration; Heart Rate; Humans; Nonlinear Dynamics; Signal Processing Computer-Assisted; Algorithms; Artificial IntelligenceCardiovascular physiologyComputational physiologyNonlinear DynamicscardiologySignal ProcessingArtificial intelligencebusinessinterpretabilitycomputerrespirationAlgorithms
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Lead Reconstruction Using Artificial Neural Networks for Ambulatory ECG Acquisition

2021

One of the most powerful techniques to diagnose cardiovascular diseases is to analyze the electrocardiogram (ECG). To increase diagnostic sensitivity, the ECG might need to be acquired using an ambulatory system, as symptoms may occur during a patient’s daily life. In this paper, we propose using an ambulatory ECG (aECG) recording device with a low number of leads and then estimating the views that would have been obtained with a standard ECG location, reconstructing the complete Standard 12-Lead System, the most widely used system for diagnosis by cardiologists. Four approaches have been explored, including Linear Regression with ECG segmentation and Artificial Neural Networks (ANN). The b…

Computer sciencestandard 12-lead systemTP1-1185electrocardiogramBiochemistryArticlelead reconstructionAnalytical ChemistryElectrocardiographyLinear regressionHumansSegmentationSensitivity (control systems)cardiovascular diseasesElectrical and Electronic EngineeringLead (electronics)InstrumentationArtificial neural networkbusiness.industryChemical technologyReconstruction algorithmPattern recognitionSignal Processing Computer-AssistedAtomic and Molecular Physics and Opticscardiovascular diseasesambulatory monitoringAmbulatory ECGElectrocardiography AmbulatoryArtificial intelligenceNeural Networks ComputerEcg signalbusinessartificial neural networkAlgorithmsSensors (Basel, Switzerland)
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Detection of Ventricular Fibrillation Using the Image from Time-Frequency Representation and Combined Classifiers without Feature Extraction

2018

Due the fact that the required therapy to treat Ventricular Fibrillation (V F) is aggressive (electric shock), the lack of a proper detection and recovering therapy could cause serious injuries to the patient or trigger a ventricular fibrillation, or even death. This work describes the development of an automatic diagnostic system for the detection of the occurrence of V F in real time by means of the time-frequency representation (T F R) image of the ECG. The main novelties are the use of the T F R image as input for a classification process, as well as the use of combined classifiers. The feature extraction stage is eliminated and, together with the use of specialized binary classifiers, …

ElectrodiagnòsticECG electrocardiogram signalsComputer science0206 medical engineeringFeature extraction02 engineering and technologycombined classification algorithmslcsh:TechnologyImage (mathematics)lcsh:ChemistryTime–frequency representationimage analysisvoting majority method classifiersnon-stationary signalstime-frequency representation0202 electrical engineering electronic engineering information engineeringmedicineGeneral Materials ScienceInstrumentationlcsh:QH301-705.5Fluid Flow and Transfer Processesbusiness.industrybiomedical systemslcsh:TProcess Chemistry and TechnologyGeneral EngineeringPattern recognitionmedicine.disease020601 biomedical engineeringlcsh:QC1-999Computer Science ApplicationsTheoryofComputation_MATHEMATICALLOGICANDFORMALLANGUAGESlcsh:Biology (General)lcsh:QD1-999lcsh:TA1-2040Ventricular fibrillationEnginyeria biomèdica020201 artificial intelligence & image processingArtificial intelligencebusinesslcsh:Engineering (General). Civil engineering (General)hierarchical classifiersImatges Processament Tècniques digitalslcsh:PhysicsApplied Sciences
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A microcontroller-based portable electrocardiograph recorder.

2004

We describe a low cost portable Holler design that can be implemented with off-the-shelf components. The recorder is battery powered and includes a graphical display and keyboard. The recorder is capable of acquiring up to 48 hours of continuous electrocardiogram data at a sample rate of up to 250 Hz.

EngineeringComputer Storage DevicesAmplifiers Electronicbusiness.industryBiomedical EngineeringBattery (vacuum tube)Information Storage and RetrievalContinuous electrocardiogramGraphical displayEquipment DesignEquipment Failure AnalysisMicrocontrollerUser-Computer InterfaceMicrocomputersEmbedded systemElectrocardiography AmbulatoryHumansDiagnosis Computer-AssistedbusinessComputer hardwareAnalog-Digital ConversionIEEE transactions on bio-medical engineering
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