Počet záznamů: 1  

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

  1. 1.
    0545531 - FGÚ 2022 RIV CH eng J - Článek v odborném periodiku
    Skalický, D. - Koucký, V. - Hadraba, Daniel - Vítězník, M. - Dub, M. - Lopot, F.
    Detection of Respiratory Phases in a Breath Sound and Their Subsequent Utilization in a Diagnosis.
    Applied Sciences-Basel. Roč. 11, č. 14 (2021), č. článku 6535. ISSN 2076-3417. E-ISSN 2076-3417
    Grant CEP: GA MŠMT(CZ) LM2018129
    Institucionální podpora: RVO:67985823
    Klíčová slova: respiratory sounds * respiratory sounds * signal processing * filtering * analysis * respiratory phases
    Obor OECD: Medical laboratory technology (including laboratory samples analysis
    Impakt faktor: 2.838, rok: 2021
    Způsob publikování: Open access
    https://www.mdpi.com/2076-3417/11/14/6535

    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.
    Trvalý link: http://hdl.handle.net/11104/0322220

     
     
Počet záznamů: 1  

  Tyto stránky využívají soubory cookies, které usnadňují jejich prohlížení. Další informace o tom jak používáme cookies.