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Published in: Journal of Medical Systems 6/2007

01-12-2007 | Original Paper

A Fuzzy Logic-Based Decision Support System on Anesthetic Depth Control for Helping Anesthetists in Surgeries

Authors: Hamdi Melih Saraoğlu, Sibel Şanlı

Published in: Journal of Medical Systems | Issue 6/2007

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Abstract

In this study, a fuzzy logic-based anesthetic depth decision support system (ADDSS) was realized for anesthetic depth control to help anesthetists in surgeries. Depth of anesthesia for a patient can change according to anesthetic agent and characteristic properties of a patient such as age, weight, etc. During the surgery, depth of anesthesia of a patient is determined by the experience of anesthetist controlling of systolic arterial pressure (SAP) and heart pulse rate (HPR) parameters. Anesthetists could have tired and lost attention by inhaling of anesthetic gas leaks in long lasted operations. For that reason, improper anesthetic depth could be applied to the patients. So anesthesia could not be safety and comfortable. To remove this unwanted situation, an ADDSS was proposed for anesthetists. By the help of this system, precise anesthetic depth could have provided. Thus, the anesthetist will spend less time to provide anesthetic and the patient will have a safer and less expensive operation. This study was performed under sevoflurane anesthetic.
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Metadata
Title
A Fuzzy Logic-Based Decision Support System on Anesthetic Depth Control for Helping Anesthetists in Surgeries
Authors
Hamdi Melih Saraoğlu
Sibel Şanlı
Publication date
01-12-2007
Publisher
Springer US
Published in
Journal of Medical Systems / Issue 6/2007
Print ISSN: 0148-5598
Electronic ISSN: 1573-689X
DOI
https://doi.org/10.1007/s10916-007-9092-x

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