JOURNAL BROWSE
Search
Advanced SearchSearch Tips
Automatic Control of Fraction of Inspired Oxygen in Neonatal Oxygen Therapy using Fuzzy Logic Control
facebook(new window)  Pirnt(new window) E-mail(new window) Excel Download
 Title & Authors
Automatic Control of Fraction of Inspired Oxygen in Neonatal Oxygen Therapy using Fuzzy Logic Control
Chanyagorn, Pornchai; Kiratiwudhikul, Phattaradanai;
  PDF(new window)
 Abstract
Premature babies of less than 37 weeks gestation might require oxygen therapy as an integral part of treatment and respiratory support. Because of their under-developed lungs, these so-called "preemies" might contract respiratory distress syndrome (RDS). To treat RDS, neonatal oxygen therapy is administered, where controlled oxygen gas is measured as a fraction of inspired oxygen (). However, exposure to high oxygen content during long treatment could cause oxygen intoxication, which might cause permanent blindness due to retinopathy of prematurity (ROP), whereas insufficient oxygen exposure could cause severe hypoxia. A doctor would use oxygen saturation () data and prescribe a dose of to maintain within a suitable range. One objective is to maintain within the acceptable range using that is as low as possible. Adjustment of would normally be done by nurses every 15 to 30 minutes, which might not be safe in many situations. An error in adjustment during a manual procedure could be as large as +/- 2.5%. This paper presents a system that can determine an value suitable to the current and that automatically adjusts with an error clearance of +/- 0.25%.
 Keywords
Fuzzy logic control;Fraction of inspired oxygen;Neonatal oxygen therapy;
 Language
English
 Cited by
 References
1.
Walsh, M, Engle, W, Laptook, A, S. Nadya J. Kazzi, Buchter, S, Rasmussen, M, Yao, Q, Oxygen Delivery Through Nasal Cannulae to Pre-term Infants : Can practice Be Improved? Pediatrics, 2005: pp. 857-861.

2.
Cherian S., Morris I., Evans J., Kotecha S., Oxygen therapy in preterm infants, Paediatr Respir Rev. 2014 Jun; 15(2), pp. 135-141.

3.
Rabi, Y., Dawson, J.A., Oxygen Therapy and Oximetry in the delivery room. Seminars in Fetal & Neonatal Medicine, 2013: pp. 330-335.

4.
Saugstad, O.D., Oxygen radical disease in neonatology, Semin Neonatol, 1998: pp. 229-238.

5.
W Tin and S Gupta, "Optimum Oxygen Therapy in Preterm Babies." Archives of Disease in Childhood. Fetal and Neonatal Edition 92.2 (2007): F143-F147. PMC. crossref(new window)

6.
Kathleen Lim, Kevin I. Wheeler, Timothy J. Gale, Hamish D. Jackson, Jonna F. Kihlstrand,Cajsa Sand, Jennifer A. Dawson, Peter A. Dargaville, Oxygen Saturation Targeting in Preterm Infants Receiving Continuous Positive Airway pressure. The Journal of Pediatrics, 2014: pp. 730-736.

7.
Kiratiwudhikul P., Chanyagorn P., "Gas Mixture Control System for Oxygen Therapy in Pre-term Infants," in International Conference on Smart Computing., Hong Kong, 2014: pp.289-294

8.
Chanyagorn P., Kiratiwudhikul P., "Automation Control Algorithm in Gas Mixture for Preterm Infant Oxygen Therapy" in International Conference on Consumer Electronic., Taiwan, 2015: pp. 236-237

9.
E.P. Morozoff, M. Saif, Oxygen Therapy Control of Neonates: Part II - Evaluating Manual, PID and Fuzzy Logic Controller Designs. Control and Intelligent Systems, 2008: pp.238-249.

10.
Taube, J., Bhutani, V., "Automatic control of neonatal fractional inspired oxygen" in Engineering in Medicine and Biology Society.Vol.13: 1991., Proceedings of the Annual International Conference of the IEEE 1991: pp.2176-2177.