Search results for " ventricular arrhythmias"

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Ventricular tachycardia in non-compaction of left ventricle: Is this a frequent complication?

2007

Background: Isolated left ventricular non-compaction is the result of incomplete myocardial morphogenesis, leading to persistence of the embryonic myocardium. The condition is recognized by an excessively prominent trabecular meshwork and deep intertrabecular recesses of the left ventricle. Whether these intertrabecular recesses are a favorable substrate for ventricular arrhythmias is unclear. Some reports have found that the fatal ventricular arrhythmias may occur in approximately half of the patients. In this report we investigated about this association. Methods and Results: In total we evaluated a continuous series of 238 patients affected by non-compaction. Periodic Holter monitoring w…

AdultHeart Defects CongenitalMalemedicine.medical_specialtyVentricular tachycardiaElectrocardiographyVentricular arrhythmiasIsolated left ventricular non-compaction; Malignant; Ventricular arrhythmias; Ventricular tachycardiaRisk FactorsInternal medicinemedicineHumansRegistriesisolated left ventricular non-compaction ventricular arrhythmias ventricular tachycardia malignantcardiovascular diseasesRisk factorRetrospective StudiesMALIGNANCYIsolated left ventricular non-compactionMalignantbusiness.industryVentricular tachycardiaGeneral MedicineMiddle Agedmedicine.diseasemedicine.anatomical_structureItalyVentricleAnesthesiaChild PreschoolVentricular fibrillationCardiologyTachycardia Ventricularcardiovascular systemFemaleTrabecular meshworkCardiology and Cardiovascular MedicinebusinessComplicationHolter monitoringVENTRICULAR ARRHYTHMIAS.
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Training machine learning models with synthetic data improves the prediction of ventricular origin in outflow tract ventricular arrhythmias

2022

In order to determine the site of origin (SOO) in outflow tract ventricular arrhythmias (OTVAs) before an ablation procedure, several algorithms based on manual identification of electrocardiogram (ECG) features, have been developed. However, the reported accuracy decreases when tested with different datasets. Machine learning algorithms can automatize the process and improve generalization, but their performance is hampered by the lack of large enough OTVA databases. We propose the use of detailed electrophysiological simulations of OTVAs to train a machine learning classification model to predict the ventricular origin of the SOO of ectopic beats. We generated a synthetic database of 12-l…

electrophysiological simulationsmachine learningPhysiologyPhysiology (medical)digital twinoutflow tract ventricular arrhythmiasvirtual populationCiència Experimentssynthetic databases
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