The MV breathe control variables can be interchanged during one breath and the operator changes the parameters manually for the conventional MV. MV has got different control variables for the breath, that is, volume/flow-controlled mode and pressure-controlled mode. Mechanical ventilation (MV) is the use of breath-designed devices that support patients with respiratory disorders, such as acute respiratory distress syndrome (ARDS) in breathing, until their natural body immune system and treatment administered by a clinician or physician clear the infection and the lung function is restored to its normal lung operation. The developed fuzzy system can therefore be applied as a physician–ventilator interface to guide the clinician/physician during the ventilation, so as, to reduce the human errors and ensure lung protection. From the experimental results, the algorithm mimics the recommended ARDS PEEP values with respect to the values of fraction of inspired oxygen (FiO 2) the algorithm as well increases the respiratory rate and tidal volume for potential of Hydrogen (pH) less than 7.2 maintains the respiratory rate and tidal volume for pH between 7.2 and 7.4 decreases the respiratory rate and maintains the tidal volume for pH greater than 7.4. The ARDS positive end-expiratory pressure (PEEP) values were used in building the fuzzy rules of the fuzzy algorithm. In this study, fuzzy logic method is used to develop a computer-aided decision-making to improve on the accuracy of the reasoning done during the ventilator setting adjustment, by adding the fuzzy reasoning concept into the ARDS Berlin definition. Corona virus disease 2019 has increased the need for mechanical ventilation, which are operated manually, in changing the settings on the mechanical ventilators. The studies done on lung protective strategies in medical ventilators have shown that tidal volume of 6-ml/ kg predicted body weight protects the lungs of a patient during the invasive ventilation for acute respiratory distress syndrome (ARDS) patients in intensive care unit.
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