@inproceedings{4e49b976bc71475898c3b938afa6950a,
title = "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 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.",
author = "Adam Huang and Liu, {Min Yin} and Lee, {Chung Wei} and Liu, {Hon Man}",
note = "Publisher Copyright: {\textcopyright} 2017 IEEE.; 39th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2017 ; Conference date: 11-07-2017 Through 15-07-2017",
year = "2017",
month = sep,
day = "13",
doi = "10.1109/EMBC.2017.8037727",
language = "???core.languages.en_GB???",
series = "Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "3977--3980",
booktitle = "2017 39th Annual International Conference of the IEEE Engineering in Medicine and Biology Society",
}