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Heart energy signature spectrogram for cardiovascular diagnosis

Overview of attention for article published in BioMedical Engineering OnLine, May 2007
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About this Attention Score

  • Good Attention Score compared to outputs of the same age (65th percentile)

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1 X user
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1 Q&A thread

Citations

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27 Dimensions

Readers on

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49 Mendeley
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1 CiteULike
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Title
Heart energy signature spectrogram for cardiovascular diagnosis
Published in
BioMedical Engineering OnLine, May 2007
DOI 10.1186/1475-925x-6-16
Pubmed ID
Authors

Vladimir Kudriavtsev, Vladimir Polyshchuk, Douglas L Roy

Abstract

A new method and application is proposed to characterize intensity and pitch of human heart sounds and murmurs. Using recorded heart sounds from the library of one of the authors, a visual map of heart sound energy was established. Both normal and abnormal heart sound recordings were studied. Representation is based on Wigner-Ville joint time-frequency transformations. The proposed methodology separates acoustic contributions of cardiac events simultaneously in pitch, time and energy. The resolution accuracy is superior to any other existing spectrogram method. The characteristic energy signature of the innocent heart murmur in a child with the S3 sound is presented. It allows clear detection of S1, S2 and S3 sounds, S2 split, systolic murmur, and intensity of these components. The original signal, heart sound power change with time, time-averaged frequency, energy density spectra and instantaneous variations of power and frequency/pitch with time, are presented. These data allow full quantitative characterization of heart sounds and murmurs. High accuracy in both time and pitch resolution is demonstrated. Resulting visual images have self-referencing quality, whereby individual features and their changes become immediately obvious.

X Demographics

X Demographics

The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 49 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Mexico 2 4%
Germany 1 2%
India 1 2%
Spain 1 2%
United States 1 2%
Serbia 1 2%
Unknown 42 86%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 10 20%
Lecturer 6 12%
Researcher 6 12%
Student > Master 6 12%
Student > Bachelor 5 10%
Other 10 20%
Unknown 6 12%
Readers by discipline Count As %
Engineering 20 41%
Medicine and Dentistry 8 16%
Computer Science 5 10%
Physics and Astronomy 2 4%
Psychology 2 4%
Other 2 4%
Unknown 10 20%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 4. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 16 June 2014.
All research outputs
#7,960,512
of 25,374,917 outputs
Outputs from BioMedical Engineering OnLine
#203
of 867 outputs
Outputs of similar age
#29,089
of 86,700 outputs
Outputs of similar age from BioMedical Engineering OnLine
#1
of 3 outputs
Altmetric has tracked 25,374,917 research outputs across all sources so far. This one has received more attention than most of these and is in the 67th percentile.
So far Altmetric has tracked 867 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.3. This one has gotten more attention than average, scoring higher than 74% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 86,700 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 65% of its contemporaries.
We're also able to compare this research output to 3 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them