Intelligent ventilator system with gas concentration measuring function applied to intelligent medical treatment and control method

Abstract

The invention discloses an intelligent ventilator system with a gas concentration measuring function. A ventilator comprises a controller, a fan, a pipeline and a sensor, wherein the fan outputs a rotating speed under a set working voltage, the rotating speed is converted into wind pressure through blades to be transmitted to the pipeline, and the sensor detects real-time flow of an airway, real-time pressure of the airway and the real-time concentration of carbon dioxide and feeds back the real-time flow, the real-time pressure and the real-time concentration to the controller; and the controller controls the ventilator according to the real-time flow and the real-time pressure of the airway, control includes respiratory phase recognition control, fan control and self-tuning processing ofa stable operation state, and the concentration of the carbon dioxide in the airway is measured by using double channels.

Description

Technical field [0001] The invention belongs to the field of ventilator, and particularly relates to an intelligent ventilator system with gas concentration measurement and a control method thereof. Background technique [0002] The ventilator is a mechanical ventilation device that can be used to replace, control or change the body's spontaneous breathing, thereby increasing lung ventilation, improving respiratory function, and alleviating respiratory muscle fatigue. It has been widely used in clinical respiratory failure, respiratory support treatment, For conditions such as anesthesia breathing management and emergency resuscitation during major operations, 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 venti...

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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