A dataset for systematic testing of crackle separation techniques
A dataset for systematic testing of crackle separation techniques
Pulmonary crackles are indicative of lung pathology and may be used for diagnosis and monitoring of disease. Many algorithms have been proposed to separate the crackle sounds from the breath noise, but a lack of standardized processes for evaluating their performance makes comparisons difficult. In this paper we propose a standard data set to be used for systematic comparative testing.
4690-4693
Pal, Ravi
a4973d64-eac7-47db-ad19-e79e6c64abd0
Barney, Anna
bc0ee7f7-517a-4154-ab7d-57270de3e815
7 October 2019
Pal, Ravi
a4973d64-eac7-47db-ad19-e79e6c64abd0
Barney, Anna
bc0ee7f7-517a-4154-ab7d-57270de3e815
Pal, Ravi and Barney, Anna
(2019)
A dataset for systematic testing of crackle separation techniques.
In 2019 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC).
IEEE.
.
(doi:10.1109/EMBC.2019.8857928).
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Abstract
Pulmonary crackles are indicative of lung pathology and may be used for diagnosis and monitoring of disease. Many algorithms have been proposed to separate the crackle sounds from the breath noise, but a lack of standardized processes for evaluating their performance makes comparisons difficult. In this paper we propose a standard data set to be used for systematic comparative testing.
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A dataset for systematic testing of crackle separation techniques
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Published date: 7 October 2019
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Local EPrints ID: 435095
URI: http://eprints.soton.ac.uk/id/eprint/435095
PURE UUID: 69171371-242e-48be-8319-fdae519636f2
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Date deposited: 22 Oct 2019 16:30
Last modified: 17 Mar 2024 02:47
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