Detection of Respiratory Phases in a Breath Sound and Their Subsequent Utilization in a Diagnosis

Result code in IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F67985823%3A_____%2F21%3A00545531" target="_blank" >RIV/67985823:_____/21:00545531 - isvavai.cz</a>

Alternative codes found

RIV/00216208:11510/21:10420294 RIV/00064203:_____/21:10420294 RIV/68407700:21220/21:00350801 RIV/68407700:21460/21:00350801

Result on the web

<a href="https://www.mdpi.com/2076-3417/11/14/6535" target="_blank" >https://www.mdpi.com/2076-3417/11/14/6535</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.3390/app11146535" target="_blank" >10.3390/app11146535</a>

Result language

angličtina

Original language name

Detection of Respiratory Phases in a Breath Sound and Their Subsequent Utilization in a Diagnosis

Original language description

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.

Czech name

—

Czech description

—

Type

J_imp - Article in a specialist periodical, which is included in the Web of Science database

CEP classification

—

OECD FORD branch

20602 - Medical laboratory technology (including laboratory samples analysis; diagnostic technologies) (Biomaterials to be 2.9 [physical characteristics of living material as related to medical implants, devices, sensors])

Project

<a href="/en/project/LM2018129" target="_blank" >LM2018129: National Infrastructure for Biological and Medical Imaging Czech-BioImaging</a><br>

Continuities

P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Publication year

2021

Confidentiality

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Name of the periodical

Applied Sciences-Basel

ISSN

2076-3417

e-ISSN

2076-3417

Volume of the periodical

11

Issue of the periodical within the volume

14

Country of publishing house

CH - SWITZERLAND

Number of pages

12

Pages from-to

6535

UT code for WoS article

000678129900001

EID of the result in the Scopus database

2-s2.0-85111137210