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

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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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Acknowledgements

We would like to thank the Kütahya State Hospital officials for providing the medical data for the present study.

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Authors and Affiliations

  1. Department of Electrical and Electronics Engineering, Dumlupınar University, Kütahya, Turkey

    Hamdi Melih Saraoğlu

  2. Kütahya State Hospital, Kütahya, Turkey

    Sibel Şanlı

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  1. Hamdi Melih Saraoğlu
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  2. Sibel Şanlı
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Correspondence to Hamdi Melih Saraoğlu.

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Saraoğlu, H.M., Şanlı, S. A Fuzzy Logic-Based Decision Support System on Anesthetic Depth Control for Helping Anesthetists in Surgeries. J Med Syst 31, 511–519 (2007). https://doi.org/10.1007/s10916-007-9092-x

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  • DOI: https://doi.org/10.1007/s10916-007-9092-x

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