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Diagnosis of atrial fibrillation based on lightweight detail-semantic network., , , , и . Biomed. Signal Process. Control., (августа 2023)Deep learning-based context aggregation network for tumor diagnosis., , и . CISP-BMEI, стр. 1-6. IEEE, (2021)Robust Feature Selection Based on Fuzzy Rough Sets with Representative Sample., , , , , , и . ADMA, том 11888 из Lecture Notes in Computer Science, стр. 151-165. Springer, (2019)Multitask Learning-Based Quality Assessment and Denoising of Electrocardiogram Signals., , , , , , , и . IEEE Trans. Instrum. Meas., (2024)Performance Analysis of Multiscale Entropy for the Assessment of ECG Signal Quality., , , и . J. Electr. Comput. Eng., (2015)Multiscale Convolution and Attention based Denoising Autoencoder for Motion Artifact Removal in ECG Signals., , , , , , и . ICIGP, стр. 442-448. ACM, (2024)Coupling Analysis for Systolic, Diastolic and RR Interval Time Series Using Multivariable Fuzzy Measure Entropy., , , и . CinC, www.cinc.org, (2017)An atrial fibrillation detection algorithm based on lightweight design architecture and feature fusion strategy., , , , , , и . Biomed. Signal Process. Control., (2024)Multivariable Fuzzy Measure Entropy Analysis for Heart Rate Variability and Heart Sound Amplitude Variability., , , и . Entropy, 18 (12): 430 (2016)Diagnosis of atrial fibrillation using self-complementary attentional convolutional neural network., , , , , , и . Comput. Methods Programs Biomed., (августа 2023)