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Automatic Wheeze Segmentation Using Harmonic-Percussive Source Separation and Empirical Mode Decomposition.

, , , , and . IEEE J. Biomed. Health Informatics, 27 (4): 1926-1934 (April 2023)

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Physiologically motivated detection of Atrial Fibrillation., , , , and . EMBC, page 1278-1281. IEEE, (2017)Musical Texture and Expressivity Features for Music Emotion Recognition., , and . ISMIR, page 383-391. (2018)Emotionally-Relevant Features for Classification and Regression of Music Lyrics., , , and . IEEE Trans. Affect. Comput., 9 (2): 240-254 (2018)Ensemble deep learning model for dimensionless respiratory airflow estimation using respiratory sound., , , , , , , , , and 1 other author(s). Biomed. Signal Process. Control., 87 (Part A): 105451 (January 2024)Skin lesion classification enhancement using border-line features - The melanoma vs nevus problem., , , , , , and . Biomed. Signal Process. Control., (2020)Accurate Segmentation of Dermoscopic Images based on Local Binary Pattern Clustering., , , , , and . MIPRO, page 314-319. IEEE, (2019)Influence of Event Duration on Automatic Wheeze Classification., , , , and . ICPR, page 7462-7469. IEEE, (2020)Algorithm for Real-time Prediction of Neurally Mediated Syncope Integrating Indexes of Autonomic Modulation., , , , , , , and . CinC, page 685-688. www.cinc.org, (2015)An adaptive approach to abnormal heart sound segmentation., , , , and . ICASSP, page 661-664. IEEE, (2011)A Framework for Acoustic Cardiac Signal Analysis., , , , , and . BIOSIGNALS, page 151-160. SciTePress, (2011)