Browsing by Author "Ionescu, Clara"

Now showing 1 - 3 of 3

Citation Count: Nigmatulun, Raoul R.;...et.al. (2014). "Extraction of reliable information from hme-domain pressure and flow signals measured by means of forced oscillation techniques", Revista de Chimie, Vol.65, No.3, pp.299-305.
Extraction of reliable information from hme-domain pressure and flow signals measured by means of forced oscillation techniques
(2014) Nigmatulun, Raoul R.; Osokin, Serghei I.; Ionescu, Clara; Baleanu, Dumitru; 56389
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.
Citation Count: Nigmatullin, Raoul R...et al. (2014). "Extraction of Reliable Information from Time-Domain Pressure and Flow Signals Measured By Means of Forced Oscillation Techniques", Revista De Chimie, 65, No. 3, pp. 299-305.
Extraction of Reliable Information from Time-Domain Pressure and Flow Signals Measured By Means of Forced Oscillation Techniques
(Chiminform Data, 2014) Nigmatullin, Raoul R.; Osokin, Sergey I.; Ionescu, Clara; Baleanu, Dumitru; 56389
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.
Citation Count: Nigmatullin, R. R...et al. (2012). "NON-INVASIVE METHODS APPLIED FOR COMPLEX SIGNALS", Romanian Reports In Physics, Vol. 64, No. 4, pp. 1032-1045.
Non-Invasive Methods Applied for Complex Signals
(Editura Academiei Romane, 2012) Nigmatullin, Raoul R.; Ionescu, Clara; Osokin, Sergey I.; Baleanu, Dumitru; Toboev, V.A.; 56389
This paper presents the application of a novel algorithm on virtually generated data from patients during anesthesia. Realistic artefacts are simulated in order to validate the usefulness of the proposed methods in separating the signal components: biological trend and artefacts. The results show that the proposed new algorithm can be successfully employed on biological signals to dynamically extract information and distil useful parameters for clinical evaluation.