| Closed-loop control if the inspired fraction of oxygen in mechanical ventilation. | |
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MedLine Citation:
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PMID: 12885181 Owner: NLM Status: MEDLINE |
Abstract/OtherAbstract:
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OBJECTIVE: Supplemental oxygen treatment of patients on mechanical ventilation is crucial in maintaining the patients' oxygen levels in the normal range. The purpose of this study was to evaluate the effectiveness of a closed-loop controller for automatic adjustment of the fraction of inspired oxygen, FIO2. More specifically, the aim of the study was to assess the robustness of the controller in correcting hypoxemia as well as its effectiveness in prevention of hyperoxemia and oxygen toxicity. METHODS: The microprocessor-based feedback control system combines a rapid control algorithm with a proportional-integral-derivative (PID) control procedure to automatically adjust FIO2. The system is designed to prevent hypoxemia by applying a stepwise control procedure in response to rapid declines in arterial oxygen saturation while fine-tuning FIO2 and avoiding hyperoxemia by resuming to the PID control procedure when appropriate. The system includes a sophisticated safeguard unit which is designed to communicate any oxygenation problems or measurement artifacts to the medical personnel while keeping FIO2 at a safe and sufficiently high level. The control system has been tested by using computer simulations as well as animal studies. RESULTS: In response to different disturbances, the arterial oxygen saturation returned to the normal safe range within less than 20 seconds, thereby avoiding any untoward effects of hypoxemia. Under steady state conditions, the variations in arterial oxygen saturation were kept within +/- 3% of the mean value. The controller corrected hypoxemia within seconds while preventing hyperoxemia, rejecting artifacts, and minimizing exposure to high concentrations of oxygen. CONCLUSION: The results of the study attest to the reliability of the proposed closed-loop control scheme for automatic adjustment of FIO2. Further evaluation of the controller will require testing the effectiveness of the system on different patient groups. |
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Authors:
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Fleur Tehrani; Mark Rogers; Takkin Lo; Thomas Malinowski; Samuel Afuwape; Michael Lum; Brett Grundl; Michael Terry |
Publication Detail:
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Type: Journal Article |
Journal Detail:
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Title: Journal of clinical monitoring and computing Volume: 17 ISSN: 1387-1307 ISO Abbreviation: J Clin Monit Comput Publication Date: 2002 Aug |
Date Detail:
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Created Date: 2003-07-29 Completed Date: 2003-10-28 Revised Date: 2007-11-15 |
Medline Journal Info:
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Nlm Unique ID: 9806357 Medline TA: J Clin Monit Comput Country: Netherlands |
Other Details:
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Languages: eng Pagination: 367-76 Citation Subset: IM |
Affiliation:
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Department of Electrical Engineering, California State University, Fullerton, California 92834-6870, USA. ftehrani@fullerton.edu |
Export Citation:
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APA/MLA Format Download EndNote Download BibTex |
| MeSH Terms | |
Descriptor/Qualifier:
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Algorithms* Anoxia Automation Computer Simulation Humans Numerical Analysis, Computer-Assisted Oximetry Oxygen / blood* Oxygen Inhalation Therapy* Reference Values Respiration, Artificial* |
| Chemical | |
Reg. No./Substance:
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7782-44-7/Oxygen |
From MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine
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