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Detection of Respiratory Phases in a Breath Sound and Their Subsequent Utilization in a Diagnosis
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SYSNO ASEP 0545531 Document Type J - Journal Article R&D Document Type Journal Article Subsidiary J Článek ve WOS Title Detection of Respiratory Phases in a Breath Sound and Their Subsequent Utilization in a Diagnosis Author(s) Skalický, D. (CZ)
Koucký, V. (CZ)
Hadraba, Daniel (FGU-C) RID, ORCID, SAI
Vítězník, M. (CZ)
Dub, M. (CZ)
Lopot, F. (CZ)Article number 6535 Source Title Applied Sciences-Basel. - : MDPI - ISSN 2076-3417
Roč. 11, č. 14 (2021)Number of pages 12 s. Language eng - English Country CH - Switzerland Keywords respiratory sounds ; respiratory sounds ; signal processing ; filtering ; analysis ; respiratory phases Subject RIV FS - Medical Facilities ; Equipment OECD category Medical laboratory technology (including laboratory samples analysis R&D Projects LM2018129 GA MŠMT - Ministry of Education, Youth and Sports (MEYS) Method of publishing Open access Institutional support FGU-C - RVO:67985823 UT WOS 000678129900001 EID SCOPUS 85111137210 DOI https://doi.org/10.3390/app11146535 Annotation Detection of lung sounds and their propagation is a powerful tool for analysing the behaviour of the respiratory system. A common approach to detect the respiratory sounds is lung auscultation, however, this method has significant limitations including low sensitivity of human ear or ambient background noise. This article targets the major limitations of lung auscultation and presents a new approach to analyse the respiratory sounds and visualise them together with the respiratory phases. The respiratory sounds from 41 patients were recorded and filtered to eliminate the ambient noise and noise artefacts. The filtered signal is processed to identify the respiratory phases. The article also contains an approach for removing the noise that is very difficult to filter but the removal is crucial for identifying the respiratory phases. Finally, the respiratory phases are overlaid with the frequency spectrum which simplifies the orientation in the recording and additionally offers the information on the inter-individual ratio of the inhalation and exhalation phases. Such interpretation provides a powerful tool for further analysis of lung sounds, simplifythe diagnosis of various types of respiratory tract dysfunctions, and returns data which are comparable among the patients. Workplace Institute of Physiology Contact Lucie Trajhanová, lucie.trajhanova@fgu.cas.cz, Tel.: 241 062 400 Year of Publishing 2022 Electronic address https://www.mdpi.com/2076-3417/11/14/6535
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