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Wheezing Sound Separation Based on Informed Inter-Segment Non-Negative Matrix Partial Co-Factorization.

, , , , and . Sensors, 20 (9): 2679 (2020)

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Combining a recursive approach via non-negative matrix factorization and Gini index sparsity to improve reliable detection of wheezing sounds., , , , and . Expert Syst. Appl., (2020)An ambient denoising method based on multi-channel non-negative matrix factorization for wheezing detection., , , , and . J. Supercomput., 79 (2): 1571-1591 (2023)Wheezing Sound Separation Based on Informed Inter-Segment Non-Negative Matrix Partial Co-Factorization., , , , and . Sensors, 20 (9): 2679 (2020)Unsupervised detection and classification of heartbeats using the dissimilarity matrix in PCG signals., , , , , and . Comput. Methods Programs Biomed., (2022)Detection of valvular heart diseases combining orthogonal non-negative matrix factorization and convolutional neural networks in PCG signals., , , , , , and . J. Biomed. Informatics, (September 2023)Wheezing Sound Separation Based on Constrained Non-Negative Matrix Factorization., , , , and . ICBBT, page 18-24. ACM, (2018)Monophonic and Polyphonic Wheezing Classification Based on Constrained Low-Rank Non-Negative Matrix Factorization., , , , , and . Sensors, 21 (5): 1661 (2021)