Intelligent ventilator system with fluid accumulation detection in medical system and control method

Abstract

The invention discloses an intelligent ventilator system with fluid accumulation detection. A ventilator includes a controller, a fan, a pipeline and a sensor. The fan outputs a rotating speed at a set working voltage, the rotating speed is converted into wind pressure by blades to a pipeline, and the sensor detects the real-time flow, the real-time pressure and the real-time concentration of carbon dioxide of an airway and feeds back to the controller; and the controller controls the ventilator according to the real-time flow and the real-time pressure of the airway, and judges whether accumulated fluid exists in the airway or not according to the real-time flow and the real-time pressure of the airway.

Description

technical field [0001] The invention belongs to the field of ventilators, in particular to an intelligent ventilator system with fluid detection and a ventilator control method thereof. Background technique [0002] The ventilator is a mechanical ventilation device that can be used to replace, control or change the human body's spontaneous breathing, thereby increasing lung ventilation, improving respiratory function, and relieving respiratory muscle fatigue. It has been widely used in clinical respiratory failure, respiratory support therapy, For anesthesia breathing management and emergency resuscitation during major surgery, the machine works through the pressure difference between the alveoli and the airway, and adjusts this pressure difference to achieve mechanical ventilation during the user's breathing. Nowadays, with the rapid development of computer technology and the improvement of intelligent control theory, the performance of the ventilator is also more perfect, ...

AI Technical Summary

Problems solved by technology

[0003] (1) The control method of the ventilator is susceptible to external interference during work, resulting in a deviation between the output pressure and the set pressure. For nonlinear time-varying systems, conventional feedback control has obvious shortcomings in robustness and stability. ;

[0004] (2) Lack of estimation of respiratory parameters to evaluate and predict the patient's respiratory condition, so that medical staff can know the possible danger of the patient in advance;

[0005] (3) The fan control of traditional ventilators is not easy to adjust online in real time, the adaptive ability is weak, the corresponding speed is slow, and it is impossible to make timely adjustments to complex situations;

[0006] (4) The traditional ventilator lacks the judgment of the expiratory phase and the inspiratory phase, and cannot make corresponding adjustments for different breathing phases, and make an initial judgment in time;

[0007] (5) Lack of accurate measurement of the gas concentration in the ventilator;

[0008] (6) Lack of accurate estimation of whether there is fluid in the ventilator

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