Literature DB >> 9304148

[Fuzzy logic and postoperative pain].

A Carregal1, A Figueira, M Núñez, A Carollo, A Lorenzo, M Rey, G González.   

Abstract

OBJECTIVE: To apply a fuzzy logic expert control system for the treatment of postoperative pain in a clinical setting.
MATERIAL AND METHODS: A system was designed consisting of a perfusion pump guided by a fuzzy logic computer interface to regulate the perfusion of alfentanil in accordance with the patient's pain response. The system was also equipped with a safety device that halted perfusion in case of desaturation, bradypnea or heart rate or blood pressure variations greater than 25%. The system was used in the first 90 minutes after surgery in a patient who underwent bilateral saphenectomy.
RESULTS: All system functions worked properly, maintaining the target analgesic values (visual analog scale < or = 2) 77% of the time.
CONCLUSION: It is possible to use fuzzy logic to obtain adequate treatment of postoperative pain.

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Year:  1997        PMID: 9304148

Source DB:  PubMed          Journal:  Rev Esp Anestesiol Reanim        ISSN: 0034-9356


  3 in total

1.  Prediction of low back pain with two expert systems.

Authors:  Murat Sari; Eyyup Gulbandilar; Ali Cimbiz
Journal:  J Med Syst       Date:  2010-10-27       Impact factor: 4.460

2.  Anaesthesia monitoring using fuzzy logic.

Authors:  Mirza Mansoor Baig; Hamid Gholamhosseini; Abbas Kouzani; Michael J Harrison
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Review 3.  Fuzzy logic and decision-making in anaesthetics.

Authors:  Paul Grant; Ole Naesh
Journal:  J R Soc Med       Date:  2005-01       Impact factor: 18.000

  3 in total

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