Estimation of instantaneous frequency from empirical mode decomposition on respiratory sounds analysis
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Instantaneous frequency (IF) calculated by empirical mode decomposition (EMD) provides a novel approach to analyze respiratory sounds (RS). Traditionally, RS have been analyzed using classical time-frequency distributions, such as short-time Fourier transform (STFT) or wavelet transform (WT). However, EMD has become a powerful tool for nonlinear and non-stationary data analysis. IF estimated by EMD has two major advantages: its high temporal resolution and the fact that a priori knowledge of the signal characteristics is not required. In this study, we have estimated IF by EMD on real RS signals in order to identify continuous adventitious sounds (CAS), such as wheezes, within inspiratory sounds cycles. We show that there are differences in IF distribution among frequency scales of RS signal when CAS are within RS. Therefore, a new method for RS analysis and classification may be developed by combining both EMD and IF.
CitacióLozano, M.; Fiz, J.A.; Jane, R. Estimation of instantaneous frequency from empirical mode decomposition on respiratory sounds analysis. A: IEEE Engineering in Medicine and Biology Society. "35th Annual International Conference of the IEEE EMBS". Osaka: Institute of Electrical and Electronics Engineers (IEEE), 2013, p. 981-984.
Versió de l'editorhttp://ieeexplore.ieee.org/xpl/mostRecentIssue.jsp?punumber=6596169
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