Using mathematical analysis for bronchial obstruction detection
Identifikátory výsledku
Kód výsledku v IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216208%3A11130%2F19%3A10399332" target="_blank" >RIV/00216208:11130/19:10399332 - isvavai.cz</a>
Nalezeny alternativní kódy
RIV/00216208:11510/19:10399332
Výsledek na webu
<a href="http://experimentalni-mechanika.cz/cs/konference/konference/2019.html?download=2817:using-mathematical-analysis-for-bronchial-obstruction-detection" target="_blank" >http://experimentalni-mechanika.cz/cs/konference/konference/2019.html?download=2817:using-mathematical-analysis-for-bronchial-obstruction-detection</a>
DOI - Digital Object Identifier
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Alternativní jazyky
Jazyk výsledku
angličtina
Název v původním jazyce
Using mathematical analysis for bronchial obstruction detection
Popis výsledku v původním jazyce
Around 300 million people all over the world suffer from asthma [1]. This disease affects all ages and patients have primarily difficult breathing with wheezing in respiratory sounds, cough and feeling of constricted chest. Therefore their physical activity is strongly limited [2]. For better treatment and relieving the disease symptoms the early diagnosis of the disease is needed. For asthma (and other pulmonary diseases) diagnosing, we have some reliable methods: spirometry, measuring of peaks of expiratory velocity or measuring of bronchial reactivity. Unfortunately, these methods have their limits: They are not reliable for badly collaboration patients like infants to 3 years old, because these patients can't provide operations required for the diagnosis method (e.g. maximal inhalation and expiration). In this case, the standard diagnosing methods can't be used and therefore it is necessary to develop other diagnosis method without need for difficult cooperation of these patients. One of the most probably working usable principles is observing changes in the breath sound of ill person and detection of wheezing and other sounds which are the typical manifestations of the disease [3]. These typical phenomena can be detected by auscultation or by observing changes in frequency spectra of breath sound recording, which is created by harmonic analysis. This method could be more sensitive and without need patient's collaboration.
Název v anglickém jazyce
Using mathematical analysis for bronchial obstruction detection
Popis výsledku anglicky
Around 300 million people all over the world suffer from asthma [1]. This disease affects all ages and patients have primarily difficult breathing with wheezing in respiratory sounds, cough and feeling of constricted chest. Therefore their physical activity is strongly limited [2]. For better treatment and relieving the disease symptoms the early diagnosis of the disease is needed. For asthma (and other pulmonary diseases) diagnosing, we have some reliable methods: spirometry, measuring of peaks of expiratory velocity or measuring of bronchial reactivity. Unfortunately, these methods have their limits: They are not reliable for badly collaboration patients like infants to 3 years old, because these patients can't provide operations required for the diagnosis method (e.g. maximal inhalation and expiration). In this case, the standard diagnosing methods can't be used and therefore it is necessary to develop other diagnosis method without need for difficult cooperation of these patients. One of the most probably working usable principles is observing changes in the breath sound of ill person and detection of wheezing and other sounds which are the typical manifestations of the disease [3]. These typical phenomena can be detected by auscultation or by observing changes in frequency spectra of breath sound recording, which is created by harmonic analysis. This method could be more sensitive and without need patient's collaboration.
Klasifikace
Druh
D - Stať ve sborníku
CEP obor
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OECD FORD obor
30203 - Respiratory systems
Návaznosti výsledku
Projekt
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Návaznosti
S - Specificky vyzkum na vysokych skolach
Ostatní
Rok uplatnění
2019
Kód důvěrnosti údajů
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Údaje specifické pro druh výsledku
Název statě ve sborníku
Experimental Stress Analysis 2019
ISBN
978-80-214-5766-9
ISSN
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e-ISSN
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Počet stran výsledku
6
Strana od-do
469-474
Název nakladatele
Czech Society for Mechanics
Místo vydání
Brno
Místo konání akce
Luhačovice
Datum konání akce
3. 6. 2019
Typ akce podle státní příslušnosti
CST - Celostátní akce
Kód UT WoS článku
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