KFU. Card publication. Extraction of Reliable Information from Time-Domain Pressure and Flow Signals Measured By Means of Forced Oscillation Techniques

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EXTRACTION OF RELIABLE INFORMATION FROM TIME-DOMAIN PRESSURE AND FLOW SIGNALS MEASURED BY MEANS OF FORCED OSCILLATION TECHNIQUES

Form of presentation

Articles in international journals and collections

Year of publication

2014

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Authors, employees of KFU

Nigmatullin Ravil Rashidovich, author

Osokin Sergey Igorevich, author

Other authors

Baleanu Dumitru , author

Ionescu Clara , author

Bibliographic description in the original language

Extraction of Reliable Information from Time-Domain Pressure and Flow Signals Measured By Means of Forced Oscillation Techniques / Raoul R. Nigmatullin, Serghei I. Osokin, Clara Ionescu, Dumitru Baleanu // REVISTA DE CHIMIE. — 2014. — Vol.65. — No. 3. — P. 299–305.

Annotation

This paper aims to give a proof-of-concept for the possible application of the forced oscillation lung function test to assess the viscoelastic properties of the airways and tissue. In particular, a novel signal processing algorithm is employed on non-stationary, noisy, (relatively) short time series of respiratory pressure and flow signals. This novel technique is employed to filter the useful information from the signals acquired under two measurement conditions: pseudo-functional residual capacity (PFRC) and pseudo-total lung capacity (PTLC). The PFRC is the measurement performed at lowest lung volume with maximum deflation, and the PTLC is measurement performed at the maximum lung volume under maximum inflation. The results suggest that the proposed technique is able to extract information on the viscoelastic properties of the lung tissue at a macroscopic level. The conclusion of this preliminary study is that the proposed combination of signal processing method and lung function test is suited to be employed on a large database in order to deliver reference values and perform further statistical analysis.

Keywords

respiratory mechanics, detrending procedure, filtering, lung function, oscillatory mechanics, statistical signal processing

The name of the journal

REVISTA DE CHIMIE

On-line resource for training course

http://dspace.kpfu.ru/xmlui/bitstream/handle/net/184983/Extraction_of_Reliable_Information_from_Time_Domain_Pressure_and_Flow_Signals.pdf?sequence=1&isAllowed=y

URL

https://revistadechimie.ro/Articles.asp?ID=3978

Please use this ID to quote from or refer to the card

https://repository.kpfu.ru/eng/?p_id=141106&p_lang=2

Resource files

File name	Size (MB)	Format
Extraction_of_Reliable_Information_from_Time_Domain_Pressure_and_Flow_Signals.pdf	0,25	pdf	show / download

Full metadata record

Field DC	Value	Language
dc.contributor.author	Nigmatullin Ravil Rashidovich	ru_RU
dc.contributor.author	Osokin Sergey Igorevich	ru_RU
dc.contributor.author	Baleanu Dumitru	ru_RU
dc.contributor.author	Ionescu Clara	ru_RU
dc.date.accessioned	2014-01-01T00:00:00Z	ru_RU
dc.date.available	2014-01-01T00:00:00Z	ru_RU
dc.date.issued	2014	ru_RU
dc.identifier.citation	Extraction of Reliable Information from Time-Domain Pressure and Flow Signals Measured By Means of Forced Oscillation Techniques / Raoul R. Nigmatullin, Serghei I. Osokin, Clara Ionescu, Dumitru Baleanu // REVISTA DE CHIMIE. — 2014. — Vol.65. — No. 3. — P. 299–305.	ru_RU
dc.identifier.uri	https://repository.kpfu.ru/eng/?p_id=141106&p_lang=2	ru_RU
dc.description.abstract	REVISTA DE CHIMIE	ru_RU
dc.description.abstract	This paper aims to give a proof-of-concept for the possible application of the forced oscillation lung function test to assess the viscoelastic properties of the airways and tissue. In particular, a novel signal processing algorithm is employed on non-stationary, noisy, (relatively) short time series of respiratory pressure and flow signals. This novel technique is employed to filter the useful information from the signals acquired under two measurement conditions: pseudo-functional residual capacity (PFRC) and pseudo-total lung capacity (PTLC). The PFRC is the measurement performed at lowest lung volume with maximum deflation, and the PTLC is measurement performed at the maximum lung volume under maximum inflation. The results suggest that the proposed technique is able to extract information on the viscoelastic properties of the lung tissue at a macroscopic level. The conclusion of this preliminary study is that the proposed combination of signal processing method and lung function test is suited to be employed on a large database in order to deliver reference values and perform further statistical analysis.	ru_RU
dc.language.iso	ru	ru_RU
dc.subject	respiratory mechanics	ru_RU
dc.subject	detrending procedure	ru_RU
dc.subject	filtering	ru_RU
dc.subject	lung function	ru_RU
dc.subject	oscillatory mechanics	ru_RU
dc.subject	statistical signal processing	ru_RU
dc.title	Extraction of Reliable Information from Time-Domain Pressure and Flow Signals Measured By Means of Forced Oscillation Techniques	ru_RU
dc.type	Articles in international journals and collections	ru_RU