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Detection of patients considering observation frequency of continuous and discontinuous adventitious sounds in lung sounds.

, , and . EMBC, page 3457-3460. IEEE, (2016)

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Classification between normal and abnormal lung sounds using unsupervised subject-adaptation., , and . APSIPA, page 213-216. IEEE, (2015)Classification of healthy subjects and patients with pulmonary emphysema using continuous respiratory sounds., , , and . EMBC, page 70-73. IEEE, (2014)Acoustic HMMs to Detect Abnormal Respiration with Limited Training Data.. IEICE Trans. Inf. Syst., 106 (3): 374-380 (March 2023)Emotion classification of infant cries with consideration for local and global features., , , , and . APSIPA, page 1-4. IEEE, (2012)Emotion clustering using the results of subjective opinion tests for emotion recognition in infants' cries., , , , , and . INTERSPEECH, page 2229-2232. ISCA, (2007)Emotion detection in infants² cries based on a maximum likelihood approach., , , , , and . INTERSPEECH, ISCA, (2006)Detection of patients considering observation frequency of continuous and discontinuous adventitious sounds in lung sounds., , and . EMBC, page 3457-3460. IEEE, (2016)Discrimination between healthy subjects and patients with pulmonary emphysema by detection of abnormal respiration., , and . ICASSP, page 693-696. IEEE, (2011)Abnormal-respiration detection by considering correlation of observation of adventitious sounds., , and . EUSIPCO, page 634-638. IEEE, (2015)Emotion-Cluster Classification of Infant Cries Using Sparse Representation., , , , and . APSIPA, page 1875-1878. IEEE, (2018)