Fan-based device for non-invasive measurement of respiratory impedance: Identification, calibration and analysis

Abstract The paper addresses the development and performance-analysis of a lung function device for non-invasive forced oscillatory technique (FOT). The applied identification methodology allows estimating the level of noise and the level of non-linearities generated by the device and correct their influence on the patient's excitation signal. The repeatability of the system is assessed under different experiments using respiratory extensions and a calibration structure. The device allows assessing the mechanical properties of the respiratory impedance in the frequency band 0.05–5 Hz. From clinical point of view, this low-frequency band has particular interest when lung's viscoelastic properties need to be assessed, especially when airway remodeling and structural changes occur.

[1]  A. D. Young,et al.  An Introduction to Fluid Mechanics , 1968 .

[2]  Gerd Vandersteen,et al.  Respiratory mechanics in children with cystic fibrosis , 2014, Biomed. Signal Process. Control..

[3]  J. Schoukens,et al.  Optimized Excitation Signals for MIMO Frequency Response Function Measurements , 2005, IMTC 2005.

[4]  A Pedotti,et al.  Detection of expiratory flow limitation in COPD using the forced oscillation technique , 2004, European Respiratory Journal.

[5]  Robin De Keyser,et al.  Measuring Nonlinear Effects in Respiratory Mechanics: A Proof of Concept for Prototype Device and Method , 2014, IEEE Transactions on Instrumentation and Measurement.

[6]  Yves Rolain,et al.  Frequency response function measurements in the presence of nonlinear distortions , 2001, Autom..

[7]  David W. Kaczka,et al.  Optimal ventilation waveforms for estimating low-frequency respiratory impedance. , 1993, Journal of applied physiology.

[8]  E. Oostveen,et al.  The forced oscillation technique in clinical practice: methodology, recommendations and future developments , 2003, European Respiratory Journal.

[9]  Brian E. Maki,et al.  Interpretation of the Coherence Function When Using Pseudorandom Inputs to Identify Nonlinear Systems , 1986, IEEE Transactions on Biomedical Engineering.

[10]  Robin De Keyser,et al.  A Novel Parametric Model for the Human Respiratory System , 2003, Modelling and Simulation.

[11]  Robin De Keyser,et al.  Mechanical Properties of the Respiratory System Derived From Morphologic Insight , 2009, IEEE Transactions on Biomedical Engineering.

[12]  B. Knight,et al.  Nonlinear analysis with an arbitrary stimulus ensemble , 1979 .

[13]  Robin De Keyser,et al.  Assessment of respiratory mechanical properties with constant-phase models in healthy and COPD lungs , 2010, Comput. Methods Programs Biomed..

[14]  Zoltán Hantos,et al.  Airway and tissue mechanics in anesthetized paralyzed children , 2003, Pediatric pulmonology.

[15]  Robin De Keyser,et al.  Low frequency constant-phase behavior in the respiratory impedance , 2011, Biomed. Signal Process. Control..

[16]  Gerd Vandersteen,et al.  A Fan-Based, Low-Frequent, Forced Oscillation Technique Apparatus , 2014, IEEE Transactions on Instrumentation and Measurement.

[17]  David W. Kaczka,et al.  Assessment of time-domain analyses for estimation of low-frequency respiratory mechanical properties and impedance spectra , 1995, Annals of Biomedical Engineering.

[18]  G L Hall,et al.  Correlation of forced oscillation technique in preschool children with cystic fibrosis with pulmonary inflammation , 2005, Thorax.

[19]  N. Weiler,et al.  Respiratory mechanics measured by forced oscillations during mechanical ventilation through a tracheal tube , 2011, Physiological measurement.

[20]  Robin De Keyser,et al.  Fractional order model parameters for the respiratory input impedance in healthy and in asthmatic children , 2011, Comput. Methods Programs Biomed..

[21]  Witold Kosiński,et al.  Viscoelasticity and fractal structure in a model of human lungs , 2010 .

[22]  Rosa M. Badia,et al.  Assessment of airflow obstruction during CPAP by means of forced oscillation in patients with sleep apnea. , 1998, American journal of respiratory and critical care medicine.

[23]  Z Hantos,et al.  Generation of optimum pseudorandom signals for respiratory impedance measurements. , 1990, International journal of bio-medical computing.

[24]  Rik Pintelon,et al.  System Identification: A Frequency Domain Approach , 2012 .

[25]  J. Mead,et al.  Contribution of compliance of airways to frequency-dependent behavior of lungs. , 1969, Journal of applied physiology.

[26]  M. Morris,et al.  Vocal cord dysfunction in patients with exertional dyspnea. , 1999, Chest.

[27]  David W. Kaczka,et al.  Reliability of Estimating Stochastic Lung Tissue Heterogeneity from Pulmonary Impedance Spectra: A Forward-Inverse Modeling Study , 2007, Annals of Biomedical Engineering.

[28]  Vasilis Z. Marmarelis,et al.  Coherence and apparent transfer function measurements for nonlinear physiological systems , 2006, Annals of Biomedical Engineering.

[29]  E. Bedrosian,et al.  The output properties of Volterra systems (nonlinear systems with memory) driven by harmonic and Gaussian inputs , 1971 .

[30]  E. Weibel Mandelbrot’s Fractals and the Geometry of Life: A Tribute to Benoît Mandelbrot on his 80 th Birthday , 2005 .

[31]  Rik Pintelon,et al.  Linear modeling in the presence of nonlinear distortions , 2002, IEEE Trans. Instrum. Meas..

[32]  J. Bates,et al.  Two-compartment modelling of respiratory system mechanics at low frequencies: gas redistribution or tissue rheology? , 1991, The European respiratory journal.

[33]  P. Reinhold,et al.  Forced oscillation technique and impulse oscillometry , 2005 .

[34]  Daniel Navajas Navarro,et al.  Forced oscillation assessment of respiratory mechanics in ventilated patients , 2001 .

[35]  David W. Kaczka,et al.  Oscillation mechanics of the respiratory system: applications to lung disease. , 2011, Critical reviews in biomedical engineering.

[36]  Clara-Mihaela Ionescu,et al.  The Human Respiratory System: An Analysis of the Interplay between Anatomy, Structure, Breathing and Fractal Dynamics , 2013 .

[37]  Robin De Keyser,et al.  Modelling respiratory impedance in patients with kyphoscoliosis , 2014, Biomed. Signal Process. Control..

[38]  P. Paré,et al.  The nature of small-airway obstruction in chronic obstructive pulmonary disease. , 2004, The New England journal of medicine.

[39]  J. Guttmann,et al.  Detection of Sleep Apnea with the Forced Oscillation Technique Compared to Three Standard Polysomnographic Signals , 2000, Respiration.

[40]  J. Fredberg,et al.  Input impedance and peripheral inhomogeneity of dog lungs. , 1992, Journal of applied physiology.