NDLI: Detecting turbulent flow in Korotkoff sounds using nonlinear methods

Content Provider	IEEE Xplore Digital Library
Author	Zia, M.K. Griffel, B.
Copyright Year	2010
Description	Author affiliation: Rutgers University, Biomedical Engineering Department 599 Taylor Road Piscataway, NJ 08854 (Zia, M.K.; Griffel, B.)
Abstract	Sounds generated by turbulent blood flow through partially occluded brachial artery were used to model sounds expected from coronary occlusions. Two methods of nonlinear analysis, third-order autocovariance and time reversal, were evaluated for their ability to detect blood flow turbulence. The values obtained from turbulent acoustic data were compared against surrogate data having similar power spectra but reduced complexity. Results showed that the values obtained by third-order autocovariance were significantly different from the surrogate data in all three subjects, but only when the artery was partially occluded and turbulent blood flow was present. The time reversal method also showed significant differences from the surrogate data in two of the three subjects. To evaluate the robustness of these approaches, noise equivalent to the standard deviation of the data was added. The third-order autocovariance method continued to show significant differences compared to surrogate data with little degradation in performance. These results indicate that third-order autocovariance provides a sensitive measure of the nonlinearities associated with turbulent blood flow though partially occluded arteries and may be of considerable diagnostic value.
Starting Page	1
Ending Page	2
File Size	163434
Page Count	2
File Format	PDF
ISBN	9781424468799
e-ISBN	9781424469246
DOI	10.1109/NEBC.2010.5458128
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2010-03-26
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Arteries Blood flow Brachytherapy Noise robustness Acoustic noise Signal to noise ratio Data acquisition Coronary arteriosclerosis Biomedical engineering Acoustic signal detection
Content Type	Text
Resource Type	Article

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4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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