Automation control algorithms in gas mixture for preterm infant oxygen therapy

Chanyagorn, Pornchai; Kiratiwudhikul, Phattaradanai

doi:10.1109/icce-tw.2015.7216874

Cited by 2 publications

(4 citation statements)

References 7 publications

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“…The system was tested by using three sets of data from three premature infants recorded in the neonatal intensive care unit (NICU) for the Department of Pediatrics, Ramathibodi Hospital, Bangkok, Thailand. The results demonstrated that with this system, the FiO 2 level fluctuates less than seen in other rule-based control results [7,8]. This paper also shows how a fuzzy logic control algorithm implemented in an embedded system responds to a change in FiO 2 level.…”

Section: Introductionmentioning

confidence: 65%

“…The system was designed to maintain current SpO 2 at a preferred level, which is a middle point of the desired SpO 2 range [7,8]. An algorithm increases the FiO 2 percentage if the current SpO 2 is below the preferred SpO 2 longer than the response time set in the patient's profile.…”

Section: Spo 2 Control Using Rule Basesmentioning

confidence: 99%

“…The results concluded that automatic FiO 2 adjustment meant infant patients required less average oxygen content in order to maintain an SpO 2 level within an appropriate range. Because SpO 2 can be monitored nearly in real time, an automatic control system for FiO 2 can be designed and implemented [7,8]. However, control algorithms [6][7][8] are still subject to rulebased control that could cause an abrupt change in the FiO 2 level.…”

Section: Introductionmentioning

confidence: 99%

“…Because SpO 2 can be monitored nearly in real time, an automatic control system for FiO 2 can be designed and implemented [7,8]. However, control algorithms [6][7][8] are still subject to rulebased control that could cause an abrupt change in the FiO 2 level. In many situations, an abrupt change in FiO 2 level could cause an unstable SpO 2 level and reduce the benefit of oxygen therapy.…”

Section: Introductionmentioning

confidence: 99%

See 3 more Smart Citations

Automatic Control of Fraction of Inspired Oxygen in Neonatal Oxygen Therapy using Fuzzy Logic Control

Chanyagorn

Kiratiwudhikul

2016

IEIE Transactions on Smart Processing and Computing

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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 socalled "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 (FiO 2 ). 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 (SpO 2 ) data and prescribe a dose of FiO 2 to maintain SpO 2 within a suitable range. One objective is to maintain SpO 2 within the acceptable range using FiO 2 that is as low as possible. Adjustment of FiO 2 would normally be done by nurses every 15 to 30 minutes, which might not be safe in many situations. An error in FiO 2 adjustment during a manual procedure could be as large as +/-2.5%. This paper presents a system that can determine an FiO 2 value suitable to the current SpO 2 and that automatically adjusts FiO 2 with an error clearance of +/-0.25%.

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Section: Introductionmentioning

confidence: 65%

Section: Spo 2 Control Using Rule Basesmentioning

confidence: 99%