Evaluation of three automatic oxygen therapy control algorithms on ventilated low birth weight neonates.
Neonates with under developed lungs often require oxygen therapy. During the course of oxygen therapy, elevated levels of blood oxygenation, hyperoxemia, must be avoided or the risk of chronic lung disease or retinal damage is increased. Low levels of blood oxygen, hypoxemia, may lead to permanent brain tissue damage and, in some cases, mortality. A closed loop controller that automatically administers oxygen therapy using 3 algorithms - state machine, adaptive model, and proportional integral derivative (PID) - is applied to 7 ventilated low birth weight neonates and compared to manual oxygen therapy. All 3 automatic control algorithms demonstrated their ability to improve manual oxygen therapy by increasing periods of normoxemia and reducing the need for manual FiO(2) adjustments. Of the three control algorithms, the adaptive model showed the best performance with 0.25 manual adjustments per hour and 73% time spent within target +/- 3% SpO(2).
Morozoff
Edmund P
EP
BC's Children's Hospital. He is now with Medtronic, 8200 Coral Sea Street NE, Mounds View, MN 55112, USA. paul.p.morozoff@medtronic
Smyth
John A
JA
D000465:Algorithms; D003198:Computer Simulation; D004867:Equipment Design; D005260:Female; D006801:Humans; D000860:Hypoxia / Q000628:therapy*; D007230:Infant, Low Birth Weight; D007231:Infant, Newborn; D008297:Male; D010092:Oximetry; D010100:Oxygen / Q000097:blood* / Q000627:therapeutic use*; D010102:Oxygen Inhalation Therapy; D012123:Pulmonary Ventilation; D012121:Respiration, Artificial / Q000379:methods*; D012129:Respiratory Function Tests
D010100:Oxygen