J
Jose J. Rieta
Researcher at Polytechnic University of Valencia
Publications - 229
Citations - 3379
Jose J. Rieta is an academic researcher from Polytechnic University of Valencia. The author has contributed to research in topics: Atrial fibrillation & Sample entropy. The author has an hindex of 28, co-authored 213 publications receiving 3053 citations. Previous affiliations of Jose J. Rieta include University of Castilla–La Mancha & Synergy University.
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Journal ArticleDOI
Atrial activity extraction for atrial fibrillation analysis using blind source separation
TL;DR: The proposed BSS-based approach is able to obtain a unified AA signal by exploiting the atrial information present in every ECG lead, which results in an increased robustness with respect to electrode selection and placement.
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Analysis of surface electrocardiograms in atrial fibrillation: techniques, research, and clinical applications
Andreas Bollmann,Daniela Husser,Luca Mainardi,Federico Lombardi,Philip Langley,Alan Murray,Jose J. Rieta,José Millet,S. Bertil Olsson,Martin Stridh,Leif Sörnmo +10 more
TL;DR: Technical aspects of novel electrocardiogram (ECG) analysis techniques are described and research and clinical applications of these methods for characterization of both the fibrillatory process and the ventricular response during AF are presented.
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Spatiotemporal blind source separation approach to atrial activity estimation in atrial tachyarrhythmias
TL;DR: The spatiotemporal BSS algorithm is validated on simulated and real ECGs from a significant number of atrial fibrillation (AF) and atrial flutter (AFL) episodes, and proves consistently superior to a spatial-only ICA method.
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A review on sample entropy applications for the non-invasive analysis of atrial fibrillation electrocardiograms
Raúl Alcaraz,Jose J. Rieta +1 more
TL;DR: Clinical challenges in which SampEn has been successfully applied to estimate AF organization from the atrial activity pattern are presented and its application in the context of non-invasive analysis of AF is reviewed.
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Application of the phasor transform for automatic delineation of single-lead ECG fiducial points.
TL;DR: This work introduces a new single-lead ECG delineator based on phasor transform, which outperforms the results provided by other well-known delineation algorithms and, moreover, presents a notably lower computational cost.