Search results for "Body surface"

showing 10 items of 64 documents

Inflammation is an amplifier of lung congestion by high lv filling pressure in hemodialysis patients: a longitudinal study

2019

Introduction Since infammation alters vascular permeability, including vascular permeability in the lung, we hypothesized that it can be an amplifer of lung congestion in a category of patients at high risk for pulmonary oedema like end stage kidney disease (ESKD) patients. Objective and methods We investigated the efect modifcation by systemic infammation (serum CRP) on the relationship between a surrogate of the flling pressure of the LV [left atrial volume indexed to the body surface area (LAVI)] and lung water in a series of 220 ESKD patients. Lung water was quantifed by the number of ultrasound B lines (US-B) on lung US. Six-hundred and three recordings were performed during a 2-year f…

Nephrologymedicine.medical_specialtymedicine.medical_treatment030232 urology & nephrologyInflammationVascular permeabilityInfammation030204 cardiovascular system & hematologySystemic inflammation03 medical and health sciences0302 clinical medicineRenal DialysisPulmonary edemaInternal medicinemedicineHumansLongitudinal StudiesLung congestionESRDLungInflammationBody surface areaLungbusiness.industryCardiovascular riskPulmonary edemamedicine.diseasemedicine.anatomical_structureNephrologyHemodialysisCardiologyHemodialysismedicine.symptombusinessJournal of Nephrology
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BMI-BFMNU: A structural index linked to fat mass

2021

Abstract Introduction: Body mass index (BMI) provides little information on body composition. For example, two people with the same BMI might have different body compositions. In this sense, the development of a new BMI able to provide body composition information is of clinical and scientific interest. The aim of the study was to suggest a new modified BMI formula. Material and Methods: A total of 108 subject, females 56 and males 52, 0-73 years old, in various physiopathological conditions were evaluated. Data were collected and processed by a program that through anthropometric measurements calculates classic BMI, volume, surface, V/S (that we can defined like a body-thickness “pse…

RC620-627Fat contentStructural index030209 endocrinology & metabolism030204 cardiovascular system & hematologyBody volumeBody Mass IndexFat mass03 medical and health sciences0302 clinical medicineStatisticsBody surfaceTX341-641Body Weights and MeasuresObesityNutritional diseases. Deficiency diseasesMathematicsNutrition and DieteticsAnthropometryNutrition. Foods and food supplyAnthropometryAdipose TissueNormal weightObesitatBody mass indexAntropometriaFood ScienceRevista Española de Nutrición Humana y Dietética
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Surface brachytherapy: Joint report of the AAPM and the GEC-ESTRO Task Group No. 253.

2020

The surface brachytherapy Task Group report number 253 discusses the common treatment modalities and applicators typically used to treat lesions on the body surface. Details of commissioning and calibration of the applicators and systems are discussed and examples are given for a risk-based analysis approach to the quality assurance measures that are necessary to consider when establishing a surface brachytherapy program.

Research ReportTask groupmedicine.medical_specialtySurface brachytherapyCalibration (statistics)Computer scienceBrachytherapyRadiotherapy DosageGeneral Medicine030218 nuclear medicine & medical imaging03 medical and health sciences0302 clinical medicineTreatment modality030220 oncology & carcinogenesisBody surfaceCalibrationmedicineMedical physicsJoint (geology)Medical physicsREFERENCES
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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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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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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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Differential Effects of Biologics on Psoriasis-Related Vascular Inflammation and Risk of Thrombosis

2020

Programa Estatal de I+D+i Orientada a los Retos de la Sociedad from Ministerio de Ciencia, Innovación y Universidades and European Regional Development Fund (Spain) [RTI2018-094436-B-I00]; Ministerio de Sanidad y Consumo CIBERehd (Spain) [CB06/04/0071]; Generalitat Valenciana (Spain) [PROMETEO/2018/141]; Proyectos Grupos Emergentes [GV/2019/043]; and Universidad Europea (Spain) (2018/UEM32 and 2019/UEM29]. 8.551 JCR (2020) Q1, 4/69 Dermatology 1.951 SJR (2020) Q1, 54/438 Biochemistry No data IDR 2020 UEV

Vasculitis0301 basic medicinemedicine.medical_specialtyEnfermedad cardiovascularImiquimodCell CommunicationDermatologyBiochemistryMiceTrombosis03 medical and health sciences0302 clinical medicinePsoriasis Area and Severity IndexPsoriasisProductos biológicosLeukocytesmedicineAnimalsHumansPsoriasisMolecular BiologyBody surface areaBiological ProductsImiquimodTumor Necrosis Factor-alphabusiness.industryEndothelial CellsThrombosisCell BiologyDermatology Life Quality Indexmedicine.diseaseDermatologyThrombosis030104 developmental biology030220 oncology & carcinogenesisMethotrexatebusinessEnfermedad de la pielMacemedicine.drugJournal of Investigative Dermatology
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Electrocardiographic Imaging Using a Spatio-Temporal Basis of Body Surface Potentials—Application to Atrial Ectopic Activity

2018

Electrocardiographic imaging (ECGI) strongly relies on a priori assumptions and additional information to overcome ill-posedness. The major challenge of obtaining good reconstructions consists in finding ways to add information that effectively restricts the solution space without violating properties of the sought solution. In this work, we attempt to address this problem by constructing a spatio-temporal basis of body surface potentials (BSP) from simulations of many focal excitations. Measured BSPs are projected onto this basis and reconstructions are expressed as linear combinations of corresponding transmembrane voltage (TMV) basis vectors. The novel method was applied to simulations o…

lcsh:QP1-981ECGbody surface potentialsinverse problematrial ectopic beatsbasis vectorsspatio-temporal regularizationlcsh:PhysiologyFrontiers in Physiology
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Analysis of in-silico body surface P-wave integral maps show important differences depending on the connections between coronary sinus and left atrium

2016

The electrical connections between the atrial coronary sinus (CS) and the left atrial (LA) myocardium have an effect on the overall atrial activation pattern and the P-wave morphology. In this study, we use our validated multi-scale 3D human atrial-torso model to elucidate which electro-anatomical configuration of connections between CS and LA more accurately reproduces a set of body surface P-wave integral maps (BSPiM) acquired in the clinic. We performed atrial biophysical simulations by pacing in distal and proximal LA sites. The corresponding in-silico BSPiM were then computed and compared with published clinical patterns obtained from patients. Important differences in BSPiM were obser…

medicine.medical_specialty0206 medical engineeringP waveLeft atrium02 engineering and technologyAnatomyAtrial activation020601 biomedical engineering030218 nuclear medicine & medical imaging03 medical and health sciencesOstium0302 clinical medicinemedicine.anatomical_structureLeft atrialInternal medicineBody surfacecardiovascular systemmedicineCardiologycardiovascular diseasesCoronary sinusMathematics
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A Multi-Variate Predictability Framework to Assess Invasive Cardiac Activity and Interactions during Atrial Fibrillation

2017

Objective: This study introduces a predictability framework based on the concept of Granger causality (GC), in order to analyze the activity and interactions between different intracardiac sites during atrial fibrillation (AF). Methods: GC-based interactions were studied using a three-electrode analysis scheme with multi-variate autoregressive models of the involved preprocessed intracardiac signals. The method was evaluated in different scenarios covering simulations of complex atrial activity as well as endocardial signals acquired from patients. Results: The results illustrate the ability of the method to determine atrial rhythm complexity and to track and map propagation during AF. Conc…

medicine.medical_specialtyComputer science0206 medical engineeringAtrial fibrillation (AF)Biomedical EngineeringCardiac activity02 engineering and technology030204 cardiovascular system & hematologyIntracardiac injectionmulti-variate autoregressive (MVAR) modeling03 medical and health sciences0302 clinical medicineHeart Conduction SystemInternal medicineAtrial Fibrillationmultielectrode cathetermedicineHumansComputer SimulationPredictabilityModels Statisticalbusiness.industryBody Surface Potential MappingModels CardiovascularPattern recognitionAtrial fibrillationmedicine.disease020601 biomedical engineeringRandom variateAutoregressive modelData Interpretation Statisticalbipolar electrograms (EGMs)Multivariate AnalysisSettore ING-INF/06 - Bioingegneria Elettronica E InformaticaCardiologyGranger causality (GC)Artificial intelligencebusiness
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