↓ Skip to main content

Validation of the pulse decomposition analysis algorithm using central arterial blood pressure

Overview of attention for article published in BioMedical Engineering OnLine, July 2014
Altmetric Badge

About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • Among the highest-scoring outputs from this source (#43 of 867)
  • High Attention Score compared to outputs of the same age (90th percentile)
  • High Attention Score compared to outputs of the same age and source (86th percentile)

Mentioned by

blogs
1 blog
twitter
1 X user
patent
2 patents
facebook
1 Facebook page

Citations

dimensions_citation
37 Dimensions

Readers on

mendeley
116 Mendeley
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output. Click here to find out more.
Title
Validation of the pulse decomposition analysis algorithm using central arterial blood pressure
Published in
BioMedical Engineering OnLine, July 2014
DOI 10.1186/1475-925x-13-96
Pubmed ID
Authors

Martin C Baruch, Kambiz Kalantari, David W Gerdt, Charles M Adkins

Abstract

There is a significant need for continuous noninvasive blood pressure (cNIBP) monitoring, especially for anesthetized surgery and ICU recovery. cNIBP systems could lower costs and expand the use of continuous blood pressure monitoring, lowering risk and improving outcomes.The test system examined here is the CareTaker® and a pulse contour analysis algorithm, Pulse Decomposition Analysis (PDA). PDA's premise is that the peripheral arterial pressure pulse is a superposition of five individual component pressure pulses that are due to the left ventricular ejection and reflections and re-reflections from only two reflection sites within the central arteries.The hypothesis examined here is that the model's principal parameters P2P1 and T13 can be correlated with, respectively, systolic and pulse pressures.

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 116 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Russia 1 <1%
Germany 1 <1%
Unknown 114 98%

Demographic breakdown

Readers by professional status Count As %
Researcher 29 25%
Student > Ph. D. Student 18 16%
Other 9 8%
Student > Master 8 7%
Student > Bachelor 6 5%
Other 18 16%
Unknown 28 24%
Readers by discipline Count As %
Engineering 32 28%
Medicine and Dentistry 16 14%
Agricultural and Biological Sciences 8 7%
Computer Science 4 3%
Biochemistry, Genetics and Molecular Biology 3 3%
Other 20 17%
Unknown 33 28%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 16. 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 08 April 2021.
All research outputs
#2,267,119
of 25,374,917 outputs
Outputs from BioMedical Engineering OnLine
#43
of 867 outputs
Outputs of similar age
#22,090
of 240,373 outputs
Outputs of similar age from BioMedical Engineering OnLine
#3
of 23 outputs
Altmetric has tracked 25,374,917 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 91st percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
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 done particularly well, scoring higher than 95% 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 240,373 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 90% of its contemporaries.
We're also able to compare this research output to 23 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 86% of its contemporaries.