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Comparison of Supervised Learning Algorithms for Quality Assessment of Wearable Electrocardiograms With Paroxysmal Atrial Fibrillation.

, , , , , and . IEEE Access, (2023)

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Atrial activity extraction from atrial fibrillation episodes based on maximum likelihood source separation., , , and . Signal Process., 85 (3): 523-535 (2005)A Novel Signal Restoration Method of Noisy Photoplethysmograms for Uninterrupted Health Monitoring., , , , , and . Sensors, 24 (1): 141 (2024)Optimal parameters study for sample entropy-based atrial fibrillation organization analysis., , , and . Comput. Methods Programs Biomed., 99 (1): 124-132 (2010)Early Prediction of Students at Risk of Failing a Face-to-Face Course in Power Electronic Systems., , , and . IEEE Trans. Learn. Technol., 14 (5): 590-603 (2021)Application of Wavelet Entropy to Predict Atrial Fibrillation Progression from the Surface ECG., and . Comput. Math. Methods Medicine, (2012)Relevance of Pre-Training in the Development of a Light Convolutional Neural Network for ECG Quality Assessment., , , and . CinC, page 1-4. IEEE, (2023)Comparison of Machine Learning and Deep Learning Methods Based on Recurrence Analysis for Obstructive Sleep Apnea Detection., , , , and . CinC, page 1-4. IEEE, (2023)Study on the Trustability of Phase Mapping Methods to Represent Atrial Potentials in Atrial Fibrillation., , , and . CinC, page 49-52. www.cinc.org, (2015)Improved Discrimination Between Healthy and Hypertensive Individuals Combining Photoplethysmography and Electrocardiography., , , , , and . CinC, page 1-4. IEEE, (2021)Study on the Stability of CFAEs to Characterize the Atrial Substrate in Atrial Fibrillation., , , , , and . CinC, page 1-4. IEEE, (2020)