Matlab-Based Study on Online Monitoring of Respiratory Resistance and Compliance under Noninvasive Positive Airway Pressure Ventilation
10.16156/j.1004-7220.2022.02.24
- VernacularTitle:基于Matlab无创正压通气下呼吸道气阻与顺应性的在线测算方法研究
- Author:
Yueyang YUAN
1
;
Xingshuo HU
2
;
Xing LUO
3
;
Li ZHOU
1
;
Xiaolin MA
1
;
Wei LIU
3
;
Zheng DAI
3
Author Information
1. School of Electromechanical Engineering, Hunan City University
2. Department of Respiratory and Critical Care Medicine, Chinese PLA General Hospital
3. Hunan Micomme Medical Technology Development Co., Ltd.
- Publication Type:Journal Article
- Keywords:
noninvasive positive ventilation;
respiratory model;
respiratory resistance;
compliance
- From:
Journal of Medical Biomechanics
2022;37(2):E342-E347
- CountryChina
- Language:Chinese
-
Abstract:
Objective Under noninvasive positive pressure ventilation, in view of inconvenient operations in human airway, and avoiding the interference of spontaneous breathing and the necessary leakage flow, the method for dynamic online monitoring of the respiratory resistance (R) and compliance (C) was studied.Methods At the end of expiration, when the exhaled flow was 0, relative to the expiration positive airway pressure (EPAP), a step-dropped pressure was produced with the amplitude Δp and hold time Δt. Under this dropped pressure, a short-time discharged flow was generated from the lung, and the discharged flow was applied to calculate the R and C. In addition, a respiratory model was developed in MATLAB to simulate the breaths of normal adult, acute respiratory distress syndrome (ARDS) patient and chronic obstructive pulmonary disease (COPD) patient. A serial of simulation experiments were carried out for obtaining data and verification.Results The calculated R and C from simulation for normal adult, ARDS patient, COPD patient, deviated from the actual value by 1.60% and -1.60%, 1.21% and -1.19%, -12.53% and 14.32%, respectively.Conclusions The proposed algorithm is practicable and feasible for calculating the R and C. The simulation results are beneficial for studying and realizing the intelligent ventilation and proportional assist ventilation in respirator.
