Smooth bandpass empirical mode decomposition with rolling ball sifting for extracting carotid bruits and heart sounds | IEEE Conference Publication | IEEE Xplore

Smooth bandpass empirical mode decomposition with rolling ball sifting for extracting carotid bruits and heart sounds


Abstract:

Carotid bruits are systolic sounds associated with turbulent blood flow through atherosclerotic stenosis in the neck. They are audible intermittent high-frequency sounds ...Show More

Abstract:

Carotid bruits are systolic sounds associated with turbulent blood flow through atherosclerotic stenosis in the neck. They are audible intermittent high-frequency sounds mixed with low-frequency heart sounds that wax and wane periodically. It is a nontrivial problem to extract both bruits and heart sounds with high fidelity for further computer-aided analysis. In this paper we propose a smooth bandpass empirical mode decomposition (EMD) method to tackle the problem in the time domain. First, bandpass EMD is achieved by using a rolling ball algorithm to sift the local extrema of chosen time-scales. Second, the local zero is smoothed by interpolation with a monotone piecewise cubic spline. Preliminary results indicate that the new method is able to extract both carotid bruits and heart sounds as visually smooth oscillating components.
Date of Conference: 11-15 July 2017
Date Added to IEEE Xplore: 14 September 2017
ISBN Information:

ISSN Information:

PubMed ID: 29060768
Conference Location: Jeju, Korea (South)

References

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