Noise and Disturbance Reduction for Heart Sounds in Cycle-Frequency Domain Based on Nonlinear Time Scaling.

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Bibliographic Details
Title: Noise and Disturbance Reduction for Heart Sounds in Cycle-Frequency Domain Based on Nonlinear Time Scaling.
Authors: Hong Tang1 tanghong@dlut.edu.cn, Ting Li2 tarali78@hotmail.com, Tianshuang Qiu1 qiutsh@dlut.edu.cn
Source: IEEE Transactions on Biomedical Engineering. Feb2010, Vol. 57 Issue 2, p325-333. 9p. 3 Black and White Photographs, 3 Charts, 12 Graphs.
Subjects: Cyclostationary waves, Heart sounds, Digital signal processing, Diastole (Cardiac cycle), Cardiac contraction
Abstract: Through an investigation of various clinical cases, heart sounds are found to be quasi-cyclostationary. Nonlinear time scaling from cycle-to-cycle is proposed to enhance cyclic stationarity, where nonlinear time scaling is approximated by a piecewise linear function. The techniques of cyclostationary signal processing are employed in this paper to reduce noise and disturbance in the cycle-frequency domain. Heart sounds can be theoretically recovered in the presence of additive, zero mean noise, and disturbance (perhaps non-Gaussian, nonstationary, or colored). The experimental tests in various conditions confirm the theoretical results. [ABSTRACT FROM AUTHOR]
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Database: Engineering Source
Description
Abstract:Through an investigation of various clinical cases, heart sounds are found to be quasi-cyclostationary. Nonlinear time scaling from cycle-to-cycle is proposed to enhance cyclic stationarity, where nonlinear time scaling is approximated by a piecewise linear function. The techniques of cyclostationary signal processing are employed in this paper to reduce noise and disturbance in the cycle-frequency domain. Heart sounds can be theoretically recovered in the presence of additive, zero mean noise, and disturbance (perhaps non-Gaussian, nonstationary, or colored). The experimental tests in various conditions confirm the theoretical results. [ABSTRACT FROM AUTHOR]
ISSN:00189294
DOI:10.1109/TBME.2009.2028693