Estimating Respiratory Impedance at Breathing Frequencies Using Regularized Least Squares on Forced Oscillation Technique Measurements

Maes, Hannes; Zivanovic, Miroslav; Schoukens, Joannes; Vandersteen, Gerd

doi:10.1109/tim.2016.2644818

Cited by 14 publications

(15 citation statements)

References 39 publications

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“…at frequencies encompassing typical breathing rates) can be measured in adults and infants, although this generally requires apnoea and relaxation of the chest wall muscles [3,5]. However, newer devices and signal processing techniques may allow measurement of low-frequency Z rs during spontaneous breathing [23]. In infants, apnoea can be induced using the Hering-Breuer reflex, by delivering positive airway pressure via face mask.…”

Section: Clinical Settings In Which Oscillometry Is Appliedmentioning

confidence: 99%

Technical standards for respiratory oscillometry

King

Bates

Berger³

et al. 2019

Eur Respir J

385

496

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Oscillometry (also known as the forced oscillation technique) measures the mechanical properties of the respiratory system (upper and intrathoracic airways, lung tissue and chest wall) during quiet tidal breathing, by the application of an oscillating pressure signal (input or forcing signal), most commonly at the mouth. With increased clinical and research use, it is critical that all technical details of the hardware design, signal processing and analyses, and testing protocols are transparent and clearly reported to allow standardisation, comparison and replication of clinical and research studies. Because of this need, an update of the 2003 European Respiratory Society (ERS) technical standards document was produced by an ERS task force of experts who are active in clinical oscillometry research.The aim of the task force was to provide technical recommendations regarding oscillometry measurement including hardware, software, testing protocols and quality control.The main changes in this update, compared with the 2003 ERS task force document are 1) new quality control procedures which reflect use of “within-breath” analysis, and methods of handling artefacts; 2) recommendation to disclose signal processing, quality control, artefact handling and breathing protocols (e.g. number and duration of acquisitions) in reports and publications to allow comparability and replication between devices and laboratories; 3) a summary review of new data to support threshold values for bronchodilator and bronchial challenge tests; and 4) updated list of predicted impedance values in adults and children.

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Section: Clinical Settings In Which Oscillometry Is Appliedmentioning

confidence: 99%

Technical standards for respiratory oscillometry

King

Bates

Berger³

et al. 2019

Eur Respir J

385

496

View full text Add to dashboard Cite

show abstract

“…In previous studies, intelligent algorithms were rarely applied in the optimisation of data, which obtained by traditional extraction methods. However, in many other fields such as biology, environment and electrical engineering, these intelligent algorithms have been used widely [17][18][19][20][21][22][23][24][25]. To improve the defect of the traditional extraction methods, scattering parameters (SPs) in cooperation with genetic algorithm (SP-GA) method has been proposed to obtain the equivalent RCL parameters of the impedance in the previous work [26].…”

Section: Introductionmentioning

confidence: 99%

Study on conducted EMI noise source modelling applied in electromagnetic compatibility analysis based on GA in cooperation with LM

Zhou

Zhao

Jin

et al. 2020

IET Power Electronics

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In this study, a new method employing scattering parameters (SPs) method, genetic algorithm (GA) and Levenberg-Marquardt algorithm (LM) is proposed for modelling conducted electromagnetic interference (EMI) noise source impedance. On the basis of the impedance information extracted by traditional SP method, GA is adopted to optimise the impedance information by taking advantage of the fast convergence speed. The obtained values of the RCL parameter are used as a set of initial values. Then, by using the advantage of the high precision of the LM, the initial values obtained by the GA are iteratively calculated. Better results can be obtained by using this combination method. This method improves the processing accuracy while ensuring the processing speed and contributes to the design of conduction EMI filter.

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“…The traditional methods have extracted the noise source impedance to a certain extent, but there are still many defects that need further improvement. In the current research, intelligent algorithms have not been used to optimise the data extracted by the traditional methods, and these intelligent algorithms have been applied in many research such as biology, medical, chemistry, environment, and electrical engineering [9][10][11][12][13][14][15][16][17].…”

Section: Introductionmentioning

confidence: 99%

Investigation on conducted EMI noise source impedance extraction for electro magnetic compatibility based on SP‐GA algorithm

Zhou

Zhao

Yan

et al. 2019

IET Power Electronics

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A new approach employing scattering parameters (SPs) and genetic algorithm (GA) (SP-GA) is proposed for modelling conducted electromagnetic interference (EMI) noise source impedance. Based on the principle of SPs, the source impedance is measured through transmission and reflection parameters from a vector network analyser when the circuit is shorted and loaded with noise source impedance, respectively. Moreover, amplitude-frequency performance and phasefrequency performance are optimised by using GA, and therefore the equivalent resistance, capacitance, and inductance are attained following the usual formula of the phase and amplitude of source impedance. This work made contribution for the design of the conducted EMI filter.

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Estimating Respiratory Impedance at Breathing Frequencies Using Regularized Least Squares on Forced Oscillation Technique Measurements

Cited by 14 publications

References 39 publications

Technical standards for respiratory oscillometry

Technical standards for respiratory oscillometry

Study on conducted EMI noise source modelling applied in electromagnetic compatibility analysis based on GA in cooperation with LM

Investigation on conducted EMI noise source impedance extraction for electro magnetic compatibility based on SP‐GA algorithm

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