Analysis of Pulmonary and Hemodynamic Parameters for the Weaning Process by Using Fuzzy Logic Based Technology

Kilic, Ugur; Güllüoğlu, M.T.; Güler, Hasan

doi:10.1007/978-3-319-46254-7_10

Cited by 1 publication

(1 citation statement)

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“…Additionally, a previous study [4] investigated the use of fuzzy logic-based patient monitoring and alarming systems by anaesthesiologists during highly invasive surgical procedures. In this sequel, [6], [7] also investigated fuzzy logic-based controller design for the weaning process for ventilated patients. A proper heating, ventilation and air conditioning (HVAC) system is a critical part of pharmaceutical cleanroom design [8].…”

Section: Introductionmentioning

confidence: 99%

Fuzzy logic-based improved ventilation system for the pharmaceutical industry

Rahman

Rabbi²,

Altwijri³

et al. 2018

IJET

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Indoor air quality in pharmaceutical industry plays a vital role in the production and storing of medicine. Stable indoor environment including favorable temperature, humidity, air flow and number of microorganisms requires consistent monitoring. This paper aimed to develop a fuzzy logic-based intelligent ventilation system to control the indoor air quality in pharmaceutical sites. Specifically, in the proposed fuzzy inference system, the ventilation system can control the air flow and quality in accordance with the indoor temperature, humidity, air flow and microorganisms in the air. The MATLAB® fuzzy logic toolbox was used to simulate the performance of the fuzzy inference system. The results show that the efficiency of the system can be improved by manipulating the input-output parameters according to the user’s demands. Compared with conventional heating, ventilation and air-conditioning (HVAC) systems, the proposed ventilation system has the additional feature of the existence of microorganisms, which is a crucial criterion of indoor air quality in pharmaceutical laboratories.

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Section: Introductionmentioning

confidence: 99%