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Robust Framework for Medical Time Series Classification and Application to Real Scenarios in Modern Bioengineering.

, , and . EMBC, page 1-4. IEEE, (2023)

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Atrial Fibrillation Detection Using Feedforward Neural Networks and Automatically Extracted Signal Features., , , , , and . CinC, www.cinc.org, (2017)How Many Leads Are Necessary for a Reliable Reconstruction of Surface Potentials During Atrial Fibrillation?, , , , , and . IEEE Trans. Inf. Technol. Biomed., 13 (3): 330-340 (2009)Granger Causality and Jensen-Shannon Divergence to Determine Dominant Atrial Area in Atrial Fibrillation., , , , and . Entropy, 20 (1): 57 (2018)Convolutive Acoustic Mixtures Approximation to an Instantaneous Model Using a Stereo Boundary Microphone Configuration., , and . ICA, volume 3195 of Lecture Notes in Computer Science, page 816-823. Springer, (2004)Singular Spectrum Analysis of Atrial Activations to Predict Atrial Fibrillation Recurrence After Ablation Procedure., , , and . CinC, page 1-4. www.cinc.org, (2018)Novel Method for Orientation-Independent Analysis in Equi-Spaced Multi-Electrode Arrays., , , and . CinC, page 1-4. IEEE, (2022)Hurst Exponent for the Analysis of Atrial Fibrillation Recurrence after Ablation Procedures., , , , and . CinC, page 1115-1118. www.cinc.org, (2013)Synchronization of Conventional Electrocardiogram Recordings for Accurate Vectorcardiography Reconstruction., , , , and . CinC, page 1-4. IEEE, (2023)Evaluation of Propofol Effects in Atrial Fibrillation Using Principal and Independent Component Analysis., , , , and . ICA, volume 4666 of Lecture Notes in Computer Science, page 569-576. Springer, (2007)Morphology quantification of atrial fibrillation under propofol using principal components analysis., , , , and . EMBC, page 6967-6970. IEEE, (2011)