Expanded VAD Guided Subdivision of Cardiopulmonary Sounds
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Cardiopulmonary auscultation is a diagnostic procedure that has a challenging task since the components of heart rate and lung sounds overlap. There were many approaches to quantify the characteristics of these signals, and one of the newest is the voice activity detection (VAD) and the Gaussian Mixture Models (GMM). Considering the lung and heart sounds as acoustic events, this paper proposes a novel assessment methodology of these diagnostic indicators. Here, VAD-GMM was applied to detect and extract the main events in lung sound and heart sounds. VAD-GMM results were compared with other VAD methodology based on statistical approach, and it was found that VAD-GMM give more definite results. Since Mel Frequency Cepstral coefficients (MFCC)... Ver más
1909-9762
1909-9991
13
2019-08-04
Revista Ingeniería Biomédica - 2019
info:eu-repo/semantics/openAccess
http://purl.org/coar/access_right/c_abf2
