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

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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]
Copyright of IEEE Transactions on Biomedical Engineering is the property of IEEE and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
Database: Engineering Source
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DbLabel: Engineering Source
An: 48287327
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  Data: Noise and Disturbance Reduction for Heart Sounds in Cycle-Frequency Domain Based on Nonlinear Time Scaling.
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  Data: <searchLink fieldCode="AR" term="%22Hong+Tang%22">Hong Tang</searchLink><relatesTo>1</relatesTo><i> tanghong@dlut.edu.cn</i><br /><searchLink fieldCode="AR" term="%22Ting+Li%22">Ting Li</searchLink><relatesTo>2</relatesTo><i> tarali78@hotmail.com</i><br /><searchLink fieldCode="AR" term="%22Tianshuang+Qiu%22">Tianshuang Qiu</searchLink><relatesTo>1</relatesTo><i> qiutsh@dlut.edu.cn</i>
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  Data: <searchLink fieldCode="JN" term="%22IEEE+Transactions+on+Biomedical+Engineering%22">IEEE Transactions on Biomedical Engineering</searchLink>. Feb2010, Vol. 57 Issue 2, p325-333. 9p. 3 Black and White Photographs, 3 Charts, 12 Graphs.
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  Data: <searchLink fieldCode="DE" term="%22Cyclostationary+waves%22">Cyclostationary waves</searchLink><br /><searchLink fieldCode="DE" term="%22Heart+sounds%22">Heart sounds</searchLink><br /><searchLink fieldCode="DE" term="%22Digital+signal+processing%22">Digital signal processing</searchLink><br /><searchLink fieldCode="DE" term="%22Diastole+%28Cardiac+cycle%29%22">Diastole (Cardiac cycle)</searchLink><br /><searchLink fieldCode="DE" term="%22Cardiac+contraction%22">Cardiac contraction</searchLink>
– Name: Abstract
  Label: Abstract
  Group: Ab
  Data: 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]
– Name: AbstractSuppliedCopyright
  Label:
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  Data: <i>Copyright of IEEE Transactions on Biomedical Engineering is the property of IEEE and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
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RecordInfo BibRecord:
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      – Type: doi
        Value: 10.1109/TBME.2009.2028693
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      – Code: eng
        Text: English
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        PageCount: 9
        StartPage: 325
    Subjects:
      – SubjectFull: Cyclostationary waves
        Type: general
      – SubjectFull: Heart sounds
        Type: general
      – SubjectFull: Digital signal processing
        Type: general
      – SubjectFull: Diastole (Cardiac cycle)
        Type: general
      – SubjectFull: Cardiac contraction
        Type: general
    Titles:
      – TitleFull: Noise and Disturbance Reduction for Heart Sounds in Cycle-Frequency Domain Based on Nonlinear Time Scaling.
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            NameFull: Hong Tang
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            NameFull: Ting Li
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              Text: Feb2010
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              Y: 2010
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