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Iterative envelope mean fractal dimension filter for the separation of crackles from normal breath sounds

Iterative envelope mean fractal dimension filter for the separation of crackles from normal breath sounds
Iterative envelope mean fractal dimension filter for the separation of crackles from normal breath sounds
This paper presents a new method of separating pulmonary crackles from normal breath sounds: the iterative envelope mean fractal dimension (IEM-FD) filter. Crackles are an important physiological parameter for evaluating lung condition of an individual and their automatic separation from normal breath sounds can provide an objective way of diagnosing or monitoring different cardiopulmonary diseases. The filter combines the new iterative envelope mean (IEM) method with the established fractal dimension (FD) technique. The IEM method estimates the non-stationary and stationary parts of the lung sound signal and then the FD technique is applied to the estimated non-stationary output of the IEM method for further refining the separation process. The IEM-FD filter is tested using a publicly available dataset and, compared with an established crackle separation technique. The IEM-FD achieves high accuracy for crackle detection in the presence of noise with SNR >= -1 dB for fine crackles and SNR > +1 dB for coarse crackles, and has low computational cost, with minimal under- or over-estimation and good preservation of crackle morphology. The method is shown to have an overall performance suitable for automated analysis to determine accurately the number and characteristics of pulmonary crackles in a recorded lung sound.
Crackles, Iterative envelope mean fractal dimension (IEM-FD) filter, Normal breath sounds
1746-8094
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 (2021) Iterative envelope mean fractal dimension filter for the separation of crackles from normal breath sounds. Biomedical Signal Processing and Control, 66, [102454]. (doi:10.1016/j.bspc.2021.102454).

Record type: Article

Abstract

This paper presents a new method of separating pulmonary crackles from normal breath sounds: the iterative envelope mean fractal dimension (IEM-FD) filter. Crackles are an important physiological parameter for evaluating lung condition of an individual and their automatic separation from normal breath sounds can provide an objective way of diagnosing or monitoring different cardiopulmonary diseases. The filter combines the new iterative envelope mean (IEM) method with the established fractal dimension (FD) technique. The IEM method estimates the non-stationary and stationary parts of the lung sound signal and then the FD technique is applied to the estimated non-stationary output of the IEM method for further refining the separation process. The IEM-FD filter is tested using a publicly available dataset and, compared with an established crackle separation technique. The IEM-FD achieves high accuracy for crackle detection in the presence of noise with SNR >= -1 dB for fine crackles and SNR > +1 dB for coarse crackles, and has low computational cost, with minimal under- or over-estimation and good preservation of crackle morphology. The method is shown to have an overall performance suitable for automated analysis to determine accurately the number and characteristics of pulmonary crackles in a recorded lung sound.

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IEM-FD_filter_paper - Accepted Manuscript
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Iterative envelope mean fractal dimension filter for the separation of crackles from normal breath sounds _ Elsevier Enhanced Reader - Version of Record
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More information

Accepted/In Press date: 23 January 2021
e-pub ahead of print date: 14 February 2021
Published date: April 2021
Additional Information: Acknowledgments This work was supported by the NIHR Southampton Biomedical Research Centre, the Engineering and Physical Sciences Research Council (EPSRC), and the AAIR Charity.
Keywords: Crackles, Iterative envelope mean fractal dimension (IEM-FD) filter, Normal breath sounds

Identifiers

Local EPrints ID: 447205
URI: http://eprints.soton.ac.uk/id/eprint/447205
ISSN: 1746-8094
PURE UUID: d9a233a5-0ef8-434f-a661-671d7fc5fefa
ORCID for Anna Barney: ORCID iD orcid.org/0000-0002-6034-1478

Catalogue record

Date deposited: 04 Mar 2021 17:46
Last modified: 11 Aug 2021 01:35

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