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Intradialytic hypotension (IDH) is a major complication during hemodialysis treatment, and therefore it is highly desirable to identify, at an early stage during treatment, whether the patient is prone to IDH. Heart rate variability (HRV), blood pressure variability (BPV) and baroreflex sensitivity (BRS) were analyzed during the first 30 min of treatment to assess information on the autonomic nervous...
The study of QT/RR relationship is important for the clinical evaluation of possible risk of ventricular tachyarrhythmia. Our aim was to assess the effects of 5-days of head-down (−6 degrees) bed-rest (HDBR) on ventricular repolarization. High fidelity 12-leads Holter ECG was acquired before (PRE), the last day of HDBR (HDT5), and five days after its conclusion (POST). X, Y, Z leads were derived (inverse...
In this work, we present a semiautomatic algorithm for ECG heartbeat classification, based on a previously developed automatic classifier and a clustering algorithm. Both classifier and clustering algorithms include features from the RR interval series and morphology descriptors calculated from the wavelet transform. Integrating the decisions of both algorithms, the presented algorithm can work automatically...
There are evidences suggesting that spaceflight may be associated with increased susceptibility to ventricular dysrhythmias. To explore this hypothesis, five days −6° head-down bed rest (HDBR) was performed with the aim at testing the changes in QT/RR dynamics. Electrocardiogram signals (ECG) was acquired in 22 males during tilt-tests performed before and after HDBR. The dynamics of QT interval adaptation...
In this work we studied the classification performance of feature models selected with a floating algorithm, focusing in the generalization capability. The features were extracted from the RR interval series, from all ECG leads and different scales of the wavelet transform. The generalization was studied using Physionet databases. In all databases the AAMI recommendations for class labeling and results...
In this work we studied the improvement achieved by including information from the 12 ECG leads, in a previously developed classification model. This model includes features from the RR interval series and morphology descriptors calculated from the wavelet transform. The experiments were carried out in the INCART database, available in Physionet, and the generalization was corroborated in a private...
In this work we studied the classification performance of models based on intervals, angles and amplitudes. These features were extracted from both ECG leads and different scales of the wavelet decomposition. The MIT-BIH Arrhythmia database was used, following AAMI recommendations for class labeling and results presentation. The training and testing set and any cross-validation division of the database...
The objective of this work is to develop a model for ECG classification based on multilead features. The MIT-BIH Arrhythmia database was used following AAMI recommendations and class labeling. We used for classification classical features as well as features extracted from different scales of the wavelet decomposition of both leads integrated in an RMS manner. Step-wise and a randomized method were...
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