Title :
Mathematical analysis and computer simulation of the respiratory system in the newborn infant
Author_Institution :
Dept. of Electr. Eng., California State Univ., Fullerton, CA, USA
fDate :
5/1/1993 12:00:00 AM
Abstract :
A mathematical model of neonatal respiratory control which can be used to simulate the system under different physiological conditions is proposed. The model consists of a continuous plant and a discrete controller. Included in the plant are lungs, body tissue, brain tissue, a cerebrospinal fluid compartment, and central and peripheral receptors. The effect of shunt in the lungs is included in the model, and the lung volume and the dead space are time varying. The controller utilizes outputs from peripheral and central receptors to adjust the depth and rate of breathing, and the effects of prematurity of peripheral receptors are included in the system. Hering-Breuer-type reflexes are embodied in the controller to accomplish respiratory synchronization. The model is examined and its simulation results under test conditions in hypoxia and hypercapnia are presented.
Keywords :
biocontrol; digital simulation; physiological models; Hering-Breuer-type reflexes; body tissue; brain tissue; breathing depth; breathing rate; central receptors; cerebrospinal fluid compartment; computer simulation; continuous plant; dead space; discrete controller; hypercapnia; hypoxia; lungs; mathematical model; neonatal respiratory control; newborn infant; peripheral receptors; respiratory system; shunt; Brain modeling; Centralized control; Computational modeling; Computer simulation; Control systems; Lungs; Mathematical analysis; Mathematical model; Pediatrics; Respiratory system; Anoxia; Blood Gas Analysis; Computer Simulation; Evaluation Studies as Topic; Humans; Hypercapnia; Infant, Newborn; Infant, Premature; Lung Volume Measurements; Mathematics; Pulmonary Gas Exchange; Respiration; Respiratory Physiology; Time Factors; Work of Breathing;
Journal_Title :
Biomedical Engineering, IEEE Transactions on