A new respiratory model considering hysteresis for artificial respiration

Abstract Building a precise respiratory model is very helpful for setting appropriate ventilation conditions to fit each patient when artificial respiration is performed on the patient. The authors have proposed two types of second order nonlinear differential equation model of respiratory system. However, these model cannot cover the hysteresis characteristic of pulmonary elastance. In this paper, A new respiratory model with two sets of different parameters for inspiration phase and expiration phase is proposed. In addition, a parameter estimation algorithm dealing with static constraints is addressed. Simulation results are presented to show the effectiveness of the proposed method.

[1]  J. Mead,et al.  Evaluation of airway interruption technique as a method for measuring pulmonary airflow resistance. , 1954, Journal of applied physiology.

[2]  L. Mount The ventilation flow‐resistance and compliance of rat lungs , 1955, The Journal of physiology.

[3]  J. Mead,et al.  Mechanical factors in distribution of pulmonary ventilation. , 1956, Journal of applied physiology.

[4]  G. Favier,et al.  Numerical integration approach to on-line identification of continuous-time systems , 1990 .

[5]  D. Wensley,et al.  Pilot study for the development of a monitoring device for ventilated children , 1991, Pediatric pulmonology.

[6]  R. Peslin,et al.  Evaluation of the multiple linear regression method to monitor respiratory mechanics in ventilated neonates and young children , 1992, Pediatric pulmonology.

[7]  H. Lorino,et al.  A synthesis of the Otis, Mead, and Mount mechanical respiratory models. , 1994, Respiration physiology.

[8]  D. Navajas,et al.  Assessment of respiratory pressure-volume nonlinearity in rabbits during mechanical ventilation. , 1996, Journal of applied physiology.

[9]  S. Kanae,et al.  Modeling of respiration and estimation of pulmonary elastance , 2004, 2004 5th Asian Control Conference (IEEE Cat. No.04EX904).

[10]  Zi-Jiang Yang,et al.  Estimation of Pulmonary Elastance Based on RBF Expression , 2004, ISNN.

[11]  Zi‐Jiang Yang,et al.  PARAMETER ESTIMATION OF NONLINEAR DIFFERENTIAL EQUATION MODELS OF RESPIRATORY SYSTEM BY USING NUMERICAL INTEGRATION TECHNIQUE , 2006 .