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Heart Murmur Detection using Ensemble Empirical Mode Decomposition and Derivations of the Mel-Frequency Cepstral Coefficients on 4-Area Phonocardiographic Signals.

, , and . CinC, page 493-496. www.cinc.org, (2014)

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Nonlinear Dynamics Techniques for the Detection of the Brain Areas Using MER Signals., , , , and . BMEI (2), page 198-202. IEEE Computer Society, (2008)978-0-7695-3118-2.Exploratory Study of the Effects of Cardiac Murmurs on Electrocardiographic-Signal-Based Biometric Systems., , , , , , , and . IDEAL (1), volume 11314 of Lecture Notes in Computer Science, page 410-418. Springer, (2018)Methodology for Epileptic Episode Detection Using Complexity-Based Features., , , and . IWINAC (2), volume 6687 of Lecture Notes in Computer Science, page 454-462. Springer, (2011)Nonlinear Dynamics for Hypernasality Detection., , , , , and . NOLISP, volume 7015 of Lecture Notes in Computer Science, page 207-214. Springer, (2011)Cardiac Murmur Effects on Automatic Segmentation of ECG Signals for Biometric Identification: Preliminary Study., , , , , , , , and . ACIIDS (1), volume 11431 of Lecture Notes in Computer Science, page 269-279. Springer, (2019)Automatic sign language recognition based on accelerometry and surface electromyography signals: A study for Colombian sign language., , , , , , and . Biomed. Signal Process. Control., 71 (Part): 103201 (2022)Heart Murmur Detection using Ensemble Empirical Mode Decomposition and Derivations of the Mel-Frequency Cepstral Coefficients on 4-Area Phonocardiographic Signals., , and . CinC, page 493-496. www.cinc.org, (2014)Automatic Selection of Acoustic and Non-Linear Dynamic Features in Voice Signals for Hypernasality Detection., , , , , , and . INTERSPEECH, page 529-532. ISCA, (2011)Nonlinear statistics for bearing diagnosis., , and . ISSPA, page 413-418. IEEE, (2012)Dimensionality Reduction Oriented Toward the Feature Visualization for Ischemia Detection., , , , and . IEEE Trans. Information Technology in Biomedicine, 13 (4): 590-598 (2009)