F
Francisco Castells
Researcher at Polytechnic University of Valencia
Publications - 104
Citations - 2003
Francisco Castells is an academic researcher from Polytechnic University of Valencia. The author has contributed to research in topics: Atrial fibrillation & Sinus rhythm. The author has an hindex of 17, co-authored 94 publications receiving 1712 citations. Previous affiliations of Francisco Castells include University of Valencia.
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Journal ArticleDOI
An open access database for the evaluation of heart sound algorithms.
Chengyu Liu,David Springer,Qiao Li,Benjamin Moody,Ricardo Abad Juan,Ricardo Abad Juan,Francisco J. Chorro,Francisco Castells,José Millet Roig,Ikaro Silva,Alistair E. W. Johnson,Zeeshan Syed,Samuel Emil Schmidt,Chrysa D. Papadaniil,Leontios J. Hadjileontiadis,H. Naseri,Ali Moukadem,Alain Dieterlen,Christian Brandt,Hong Tang,Maryam Samieinasab,Mohammad Reza Samieinasab,Reza Sameni,Roger G. Mark,Gari D. Clifford,Gari D. Clifford +25 more
TL;DR: A public heart sound database, assembled for an international competition, the PhysioNet/Computing in Cardiology (CinC) Challenge 2016, which comprises nine different heart sound databases sourced from multiple research groups around the world is described.
Journal ArticleDOI
Principal component analysis in ECG signal processing
TL;DR: Several ECG applications are reviewed where PCA techniques have been successfully employed, including data compression, ST-T segment analysis for the detection of myocardial ischemia and abnormalities in ventricular repolarization, extraction of atrial fibrillatory waves for detailed characterization of atrium fibrillation, and analysis of body surface potential maps.
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.
Journal ArticleDOI
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.
Journal ArticleDOI
Estimation of atrial fibrillatory wave from single-lead atrial fibrillation electrocardiograms using principal component analysis concepts.
TL;DR: The proposed method was suitable for signals registered from Holter systems, where the reduced number of leads is insufficient to exploit the spatial information of the ECG, and robustness to variations in the QRST morphology, which thus minimised QRST residua.