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

Kód výsledku v 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>

Nalezeny alternativní kódy

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

Výsledek na webu

<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>

Jazyk výsledku

angličtina

Název v původním jazyce

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

Popis výsledku v původním jazyce

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.

Název v anglickém jazyce

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

Popis výsledku anglicky

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.

Druh

J_imp - Článek v periodiku v databázi Web of Science

CEP obor

—

OECD FORD obor

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])

Projekt

<a href="/cs/project/LM2018129" target="_blank" >LM2018129: Národní infrastruktura pro biologické a medicínské zobrazování Czech-BioImaging</a><br>

Návaznosti

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

Rok uplatnění

2021

Kód důvěrnosti údajů

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

Název periodika

Applied Sciences-Basel

ISSN

2076-3417

e-ISSN

2076-3417

Svazek periodika

11

Číslo periodika v rámci svazku

14

Stát vydavatele periodika

CH - Švýcarská konfederace

Počet stran výsledku

12

Strana od-do

6535

Kód UT WoS článku

000678129900001

EID výsledku v databázi Scopus

2-s2.0-85111137210