Carmen B. Mora

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In this work, the aim is to discriminate terminating from non terminating atrial fibrillation (AF) episodes. A database including a learning set with 20 recordings and a test set with 30 recordings was provided. We hypothesized that the most relevant information about the mechanisms that trigger the AF is contained in the atrial fibrillatory wave (FW),(More)
BACKGROUND Type 2 diabetes is associated with a high cardiovascular risk, which is even increased if renal damage is superimposed. Peripheral blood mononuclear cells (PBMCs) and pro-inflammatory cytokines are key factors linking type 2 diabetes and atherosclerosis. We investigated the influence of renal damage on serum, urinary and PBMCs expression behavior(More)
We investigate the sensitivity of AVO attributes to uncertainty in migration velocity in a synthetic dataset. The synthetic data was built using a earth model with typical rock properties from a real North Sea turbidite field. The model includes a thick overburden layer with complex velocity anomalies. We examine the sensitivity of AVO response due to the(More)
This paper explores the relationship between velocity uncertainty and AVO-related seismic attributes in a dataset from the Blake Outer Ridge, offshore from Florida and Georgia. From an initial velocity model, several realizations were generated that are perturbations of the original velocity model. Prestack wave-equation migration was applied to the data(More)
In this contribution is presented a new method for estimating the atrial activity (AA) from one-lead atrial fibrillation (AF) ECGs. This methodology is appropriate for holter signals, where the reduced number of leads is insufficient to exploit the spatial information of the ECG. The proposed approach is based on principal component analysis (PCA) concepts,(More)
Background. Type 2 diabetes is associated with a high cardiovascular risk, which is even increased if renal damage is superimposed. Peripheral blood mononuclear cells (PBMCs) and pro-inflammatory cytokines are key factors linking type 2 diabetes and atherosclerosis. We investigated the influence of renal damage on serum, urinary and PBMCs expression(More)
Determination of spectral parameters from surface electrocardiograms (ECG) during atrial fibrillation (AF) may prove useful for understanding underlying pathomechanisms and selecting optimal treatment. Dominant fibrillatory frequency is the most commonly used parameter today, but bandwidth (BW) and an index of temporal frequency stability (IS) have also(More)
Paroxysmal atrial fibrillation, atrial flutter and atrial tachychardia are all atrial tachyarrhythmias whose behavior, evolution and activation mechanism are under analysis. Time-frequency analysis applied to an estimation of the atrial signal allows the characterization of tachyarrhythmia signal on frequency and time domain. In addition, the selection of a(More)
Marmousi is a 2-D synthetic dataset generated at the Institut Français du Pétrole (IFP). The geometry of this model is based on a profile through the North Quenguela trough in the Cuanza basin (Versteeg, 1993). The geometry and velocity model were created to produce a complex seismic data which requiere advanced processing techniques to obtain a correct(More)