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A dataset for systematic testing of crackle separation techniques

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
IEEE
Pal, Ravi
a4973d64-eac7-47db-ad19-e79e6c64abd0
Barney, Anna
bc0ee7f7-517a-4154-ab7d-57270de3e815
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. pp. 4690-4693 . (doi:10.1109/EMBC.2019.8857928).

Record type: Conference or Workshop Item (Paper)

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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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
ORCID for Anna Barney: ORCID iD orcid.org/0000-0002-6034-1478

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Date deposited: 22 Oct 2019 16:30
Last modified: 15 May 2020 00:30

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