阅读说明：本技术 一种气道异常识别方法及装置、通气设备、存储介质 (Airway anomaly identification method and device, ventilation equipment and storage medium ) 是由 徐军 刘京雷 于学忠 付阳阳 邹心茹 周小勇 于 2018-08-21 设计创作，主要内容包括：一种气道异常识别方法,采集通气参数,通气参数为气道压力和/或气道流速(S101)；根据通气参数的变化识别是否出现气道异常事件(S102)；当识别出现气道异常事件时,输出气道异常事件提示(S103)。(An airway abnormality identification method comprises the steps of collecting ventilation parameters, wherein the ventilation parameters are airway pressure and/or airway flow rate (S101); identifying whether an airway abnormal event occurs according to the change of the ventilation parameter (S102); when the occurrence of the airway abnormal event is recognized, an airway abnormal event prompt is output (S103).)

An airway abnormality recognition method, characterized in that the method comprises:

collecting ventilation parameters, wherein the ventilation parameters are airway pressure and/or airway flow rate;

identifying whether an airway abnormal event occurs according to the change of the ventilation parameters;

and outputting an airway abnormal event prompt when the airway abnormal event is identified.

The method of claim 1, wherein the airway abnormality event includes one or more of a circuit water accumulation, a sputum accumulation, a circuit resistance increase.

The method of claim 2, wherein the step of identifying whether line watering is present based on the change in the ventilation parameter comprises:

and when the ventilation parameters are continuously in shaking, judging that the pipeline water accumulation exists.

The method of claim 2, wherein the step of identifying whether line watering is present based on the change in the ventilation parameter comprises:

performing a spectral analysis on the ventilation parameters;

and if the high-frequency component of the ventilation parameter is greater than a preset first threshold value, judging that pipeline ponding exists.

The method of claim 2, wherein the step of identifying whether line watering is present based on the change in the ventilation parameter comprises:

curve fitting the ventilation parameters;

calculating an error of the fitted curve with ventilation parameters;

and if the error is larger than a preset second threshold value, judging that the pipeline water accumulation exists.

The method of claim 2, wherein the step of identifying whether sputum accumulation occurs based on the change in the ventilation parameters comprises:

calculating airway resistance from the airway pressure and airway flow rate;

if the airway resistance rises, the sputum accumulation is judged to exist.

The method of claim 2, wherein the airway pressure comprises inspiratory pressure and expiratory pressure, and wherein identifying whether an increase in line resistance has occurred based on the change in the ventilation parameter comprises:

and judging whether the pipeline resistance is increased or not according to the inhalation pressure and the exhalation pressure.

The method of claim 7, wherein determining whether there is an increase in resistance of the conduit from the inspiratory pressure and the expiratory pressure comprises:

calculating the current pipeline pressure drop according to the inhalation pressure and the exhalation pressure;

and if the difference value between the current pipeline pressure drop and the initial pipeline pressure drop is greater than a preset third threshold value, judging that the pipeline resistance is increased.

The method of claim 7, wherein determining whether there is an increase in resistance of the conduit from the inspiratory pressure and the expiratory pressure comprises:

calculating the pressure drop change of the pipeline according to the inhalation pressure and the exhalation pressure;

and if the pressure drop increase value of the pipeline is greater than a preset fourth threshold value, judging that the pipeline resistance is increased.

The method of claim 7, wherein the airway flow rate comprises an inspiratory flow rate and an expiratory flow rate, the inspiratory pressure calculated from the inspiratory flow rate, and the expiratory pressure calculated from the expiratory flow rate.

An airway abnormality recognition apparatus, characterized in that the apparatus comprises:

the system comprises an acquisition module, a data processing module and a data processing module, wherein the acquisition module acquires ventilation parameters, and the ventilation parameters are airway pressure and/or airway flow rate;

the identification module identifies whether an airway abnormal event occurs according to the change of the ventilation parameter;

and the output module is used for outputting the airway abnormal event prompt when the airway abnormal event is identified.

The apparatus of claim 11, wherein the airway abnormality event includes one or more of a circuit water accumulation, a sputum accumulation, a circuit resistance increase.

The apparatus of claim 12, wherein the step of the identification module identifying whether line watering is present based on the change in the ventilation parameter comprises:

and when the ventilation parameters are continuously in shaking, judging that the pipeline water accumulation exists.

The apparatus of claim 12, wherein the step of the identification module identifying whether line watering is present based on the change in the ventilation parameter comprises:

performing a spectral analysis on the ventilation parameters;

and if the high-frequency component of the ventilation parameter is greater than a preset first threshold value, judging that pipeline ponding exists.

The apparatus of claim 12, wherein the step of the identification module identifying whether line watering is present based on the change in the ventilation parameter comprises:

curve fitting the ventilation parameters;

calculating an error of the fitted curve with ventilation parameters;

and if the error is larger than a preset second threshold value, judging that the pipeline water accumulation exists.

The apparatus of claim 12, wherein the step of the identifying module identifying whether sputum accumulation occurs based on the change in the ventilation parameters comprises:

calculating airway resistance from the airway pressure and airway flow rate;

if the airway resistance rises, the sputum accumulation is judged to exist.

The apparatus of claim 12, wherein the airway pressure comprises an inspiratory pressure and an expiratory pressure, and wherein the identifying module identifies whether an increase in line resistance occurs based on the change in the ventilation parameter comprises:

and judging whether the pipeline resistance is increased or not according to the inhalation pressure and the exhalation pressure.

The apparatus of claim 17, wherein the step of determining whether there is an increase in resistance of the conduit from the inspiratory pressure and the expiratory pressure comprises:

calculating the current pipeline pressure drop according to the inhalation pressure and the exhalation pressure;

and if the difference value between the current pipeline pressure drop and the initial pipeline pressure drop is greater than a preset third threshold value, judging that the pipeline resistance is increased.

The apparatus of claim 17, wherein the step of determining whether there is an increase in resistance of the conduit from the inspiratory pressure and the expiratory pressure comprises:

calculating the pressure drop change of the pipeline according to the inhalation pressure and the exhalation pressure;

and if the pressure drop increase value of the pipeline is greater than a preset fourth threshold value, judging that the pipeline resistance is increased.

The apparatus of claim 17, wherein the airway flow rate comprises an inspiratory flow rate and an expiratory flow rate, the inspiratory pressure calculated from the inspiratory flow rate, and the expiratory pressure calculated from the expiratory flow rate.

A ventilation device comprising the airway abnormality recognition apparatus according to any one of claims 11-20, comprising a gas source, an inspiratory limb, an expiratory limb, a display, and a controller;

the gas source provides gas in the mechanical ventilation process;

the air suction branch is connected with the air source and provides an air suction path during the mechanical ventilation;

the expiratory limb providing an expiratory path during the mechanical ventilation;

the airway abnormality recognition device is connected with the inspiration branch, the expiration branch and the controller;

the airway abnormality recognition device is used for recognizing an airway abnormality event in the mechanical ventilation process;

the controller is also connected with the air source and used for controlling the mechanical ventilation process;

the display is connected to the controller and displays a respiratory waveform during the mechanical ventilation.

A computer-readable storage medium storing an airway abnormality recognition program executable by a processor to implement the airway abnormality recognition method according to any one of claims 1 to 10.