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A bioacoustic method for timing of the different phases of the breathing cycle and monitoring of breathing frequency

Overview of attention for article published in Medical Engineering & Physics, July 2000
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6 patents

Citations

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35 Dimensions

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36 Mendeley
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Title
A bioacoustic method for timing of the different phases of the breathing cycle and monitoring of breathing frequency
Published in
Medical Engineering & Physics, July 2000
DOI 10.1016/s1350-4533(00)00050-3
Pubmed ID
Authors

Peter Hult, Bengt Wranne, Per Ask

Abstract

It is well known that the flow of air through the trachea during respiration causes vibrations in the tissue near the trachea, which propagate to the surface of the body and can be picked up by a microphone placed on the throat over the trachea. Since the vibrations are a direct result of the airflow, accurate timing of inspiration and expiration is possible. This paper presents a signal analysis solution for automated monitoring of breathing and calculation of the breathing frequency. The signal analysis approach uses tracheal sound variables in the time and frequency domains, as well as the characteristics of the disturbances that can be used to discriminate tracheal sound from noise. One problem associated with the bioacoustic method is its sensitivity for acoustic disturbances, because the microphone tends to pick up all vibrations, independent of their origin. A signal processing method was developed that makes the bioacoustic method clinically useful in a broad variety of situations, for example in intensive care and during certain heart examinations, where information about both the precise timing and the phases of breathing is crucial.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 36 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Switzerland 1 3%
Canada 1 3%
Iceland 1 3%
Slovenia 1 3%
United States 1 3%
Unknown 31 86%

Demographic breakdown

Readers by professional status Count As %
Researcher 8 22%
Student > Ph. D. Student 8 22%
Student > Bachelor 2 6%
Professor > Associate Professor 2 6%
Student > Master 2 6%
Other 6 17%
Unknown 8 22%
Readers by discipline Count As %
Engineering 12 33%
Medicine and Dentistry 4 11%
Computer Science 3 8%
Psychology 2 6%
Social Sciences 1 3%
Other 3 8%
Unknown 11 31%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 3. 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 12 September 2023.
All research outputs
#8,534,528
of 25,371,288 outputs
Outputs from Medical Engineering & Physics
#321
of 1,278 outputs
Outputs of similar age
#13,222
of 39,276 outputs
Outputs of similar age from Medical Engineering & Physics
#2
of 5 outputs
Altmetric has tracked 25,371,288 research outputs across all sources so far. This one is in the 43rd percentile – i.e., 43% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,278 research outputs from this source. They receive a mean Attention Score of 3.5. This one is in the 34th percentile – i.e., 34% of its peers scored the same or lower than it.
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 39,276 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 9th percentile – i.e., 9% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 5 others from the same source and published within six weeks on either side of this one. This one has scored higher than 3 of them.