CN119607346B

CN119607346B - A device working mode switching method and positive pressure ventilation treatment system

Info

Publication number: CN119607346B
Application number: CN202411996873.2A
Authority: CN
Inventors: 王菡侨; 请求不公布姓名; 魏少震
Original assignee: Weihai Weigao Health Technology Co ltd
Current assignee: Weihai Weigao Health Technology Co ltd
Priority date: 2024-12-31
Filing date: 2024-12-31
Publication date: 2025-10-03
Anticipated expiration: 2044-12-31
Also published as: CN119607346A

Abstract

The application discloses a switching method of equipment working modes and a positive pressure ventilation treatment system. In the scheme, first respiratory index data and first vital sign index data of a target object in a first preset period are monitored, the first respiratory index data and the first vital sign index data are index data when the target object is treated by an initial ventilation mode of a positive pressure ventilation treatment system, data analysis is conducted on the first respiratory index data and the first vital sign index data to obtain analysis results, a target ventilation mode matched with the health condition of the target object is determined from a plurality of ventilation modes of the positive pressure ventilation treatment system based on the analysis results, and the ventilation mode of the positive pressure ventilation treatment system is switched from the initial ventilation mode to the target ventilation mode. The technical scheme of the application realizes the adjustment of the ventilation mode of the positive pressure ventilation treatment system in an automatic mode, and solves the problem of untimely response of the existing positive pressure ventilation treatment system.

Description

Switching method of equipment working modes and positive pressure ventilation treatment system

Technical Field

The application relates to the technical field of medical equipment, in particular to a switching method of equipment working modes and a positive pressure ventilation treatment system.

Background

Sleep disordered breathing (Sleep Disordered Breathing, abbreviated SDB) is a group of clinical symptoms that affects the quality of an individual's sleep through interruptions or abnormal patterns of breathing in sleep. The occurrence of the diseases related to the sleep breathing disorder is complex, is usually caused by the combined action of a plurality of factors, is closely related to a plurality of chronic diseases, and is difficult to comprehensively solve aiming at a plurality of factors causing the pathogenesis, so that the treatment of the sleep breathing disorder is more troublesome.

A positive airway pressure therapy system is a medical device for SDB that provides multiple modes of ventilation, and can be adjusted as necessary to meet the different needs of the SDB patient. However, the existing positive pressure ventilation treatment system needs to manually adjust the ventilation mode of the positive pressure ventilation treatment system in a manual mode, so that the problem of untimely response of the positive pressure ventilation treatment system is caused, the compliance of SDB patients to equipment is affected, and extra workload is brought to medical staff.

Currently, there is a need for an intelligent system that automatically adjusts the ventilation mode to address the problem of untimely response of positive airway pressure therapy systems.

Disclosure of Invention

Based on the above problems, the application provides a switching method of equipment working modes and a positive pressure ventilation treatment system, and aims to realize mode switching of the positive pressure ventilation treatment system in an automatic mode and solve the problem of untimely response of the existing positive pressure ventilation treatment system.

The embodiment of the application discloses the following technical scheme:

The application provides a switching method of equipment working modes, which comprises the following steps:

monitoring first respiratory index data and first vital sign index data of a target object in a first preset period, wherein the first respiratory index data and the first vital sign index data are index data of the target object when the target object is treated by an initial ventilation mode of a positive airway pressure treatment system;

Carrying out data analysis on the first respiratory index data and the first vital sign index data to obtain an analysis result;

determining a target ventilation pattern matching a health condition of the target subject from a plurality of ventilation patterns of the positive airway pressure therapy system based on the analysis results;

the ventilation mode of the positive airway pressure therapy system is switched from an initial ventilation mode to a target ventilation mode.

In alternative implementations, the plurality of ventilation modes includes a continuous positive airway pressure mode, an automatic continuous positive airway pressure mode, a bi-level positive airway pressure mode, an automatic bi-level positive airway pressure mode, and an adaptive servo ventilation mode, the bi-level positive airway pressure mode including an auto-triggering and a temporal standby mode.

In an alternative implementation manner, the analysis result includes the sleeping respiratory status of the target object in a first preset period, and the average air leakage of the breathing mask of the positive pressure ventilation treatment system worn by the target object in the first preset period;

When the initial ventilation mode is a continuous positive airway pressure mode, determining a target ventilation mode that matches a health condition of a target subject from a plurality of ventilation modes of a positive airway pressure therapy system based on the analysis results, comprising:

if the average air leakage is smaller than the preset air leakage, judging whether the proportion of central sleep events in all sleep respiratory events of the target object is smaller than the preset proportion or not based on the sleep respiratory condition;

Judging whether the target object meets a first mode switching condition based on the sleep breathing condition if the proportion of the central sleep events of the target object is smaller than a preset proportion, wherein the first mode switching condition is that the average apnea-hypopnea index of the target object is larger than a first preset threshold value or the airway pressure of the target object is larger than a first preset pressure value;

and if the target object meets the first mode switching condition, taking the automatic continuous positive airway pressure mode as a target ventilation mode.

In an optional implementation manner, the method for switching the working mode of the device further includes:

If the target object does not meet the first mode switching condition, judging whether the target object meets a second mode switching condition based on the sleeping respiratory status, wherein the second mode switching condition is that the average tidal volume of the target object is smaller than a preset tidal volume threshold;

And if the target object meets the second mode switching condition, taking the automatic double-horizontal positive airway pressure mode as a target ventilation mode.

If the target object does not meet the second mode switching condition, monitoring second breathing index data and second vital sign index data of the target object in a second preset period, wherein the second preset period and the first preset period are two continuous periods, and the second preset period is later than the first preset period;

If the target object does not meet the first mode switching condition and the target object does not meet the second mode switching condition according to the second respiratory index data and the second vital sign index data, acquiring the treatment duration of the target object in the first preset period and the treatment duration of the target object in the second preset period;

and if the treatment duration of the first preset period and the treatment duration of the second preset period are smaller than the preset treatment duration, taking the automatic continuous positive airway pressure mode as a target ventilation mode.

In an alternative implementation, when the initial ventilation mode is an automatic continuous positive airway pressure mode, determining a target ventilation mode that matches a health condition of the target subject from a plurality of ventilation modes of the positive airway pressure therapy system based on the analysis results, comprising:

if the average air leakage corresponding to the target object is smaller than the preset air leakage, judging whether the proportion of the central sleep event of the target object is smaller than the preset proportion or not based on the sleep respiratory condition of the target object;

if the proportion of central sleep events of the target object is larger than the preset proportion, the continuous positive airway pressure mode is directly used as a target ventilation mode;

If the proportion of the central sleep events of the target object is smaller than the preset proportion, judging whether the target object meets a third mode switching condition based on the sleep breathing condition, wherein the third mode switching condition is that the breathing frequency corresponding to the target object is smaller than the preset frequency;

and if the target object meets the third mode switching condition, taking the autonomous triggering and time standby frequency mode as a target ventilation mode.

In an optional implementation manner, the analysis result further includes a blood pressure fluctuation condition of the target object in a first preset period, and the switching method of the equipment working mode further includes:

If the target object does not meet the third mode switching condition, judging whether the target object meets a fourth mode switching condition based on the sleeping respiratory status, wherein the fourth mode switching condition is that the pressure level of the target object is greater than or equal to a second preset pressure value or the average tidal volume corresponding to the target object is smaller than a preset tidal volume threshold when the target object is subjected to automatic continuous positive airway pressure mode treatment;

if the target object meets the fourth mode switching condition, taking the automatic bi-level positive airway pressure mode as a target ventilation mode;

if the target object does not meet the fourth mode switching condition, judging whether the target object meets a fifth mode switching condition based on the blood pressure fluctuation condition and the sleep breathing condition, wherein the fifth mode switching condition is that the airway pressure variation of the target object is smaller than a preset value, the maximum airway pressure is smaller than a second preset pressure value, or the blood pressure fluctuation range of the target object is not in a preset blood pressure fluctuation range;

And if the target object meets the fifth mode switching condition, taking the continuous positive airway pressure mode as a target ventilation mode.

In an alternative implementation, when the initial ventilation mode is an automatic bi-level positive airway pressure mode, determining a target ventilation mode that matches a health condition of the target subject from a plurality of ventilation modes of the positive airway pressure therapy system based on the analysis results, comprising:

If the average air leakage corresponding to the target object is smaller than the preset air leakage and the proportion of the central sleep event of the target object is smaller than the preset proportion, judging whether the target object meets a sixth mode switching condition based on the sleep breathing condition and the blood pressure fluctuation condition of the target object, wherein the sixth mode switching condition is that the average tidal volume corresponding to the target object is smaller than a preset tidal volume threshold or the blood pressure fluctuation range of the target object is not in a preset blood pressure fluctuation range;

and if the target object meets the sixth mode switching condition, taking the autonomous triggering and time standby frequency mode as a target ventilation mode.

In an alternative implementation, when the initial ventilation mode is any one of a continuous positive airway pressure mode, an automatic bi-level positive airway pressure mode, and an auto-triggering and temporal standby mode, determining a target ventilation mode that matches a health condition of a target subject from a plurality of ventilation modes of the positive airway pressure therapy system based on the analysis result comprises:

If the average air leakage corresponding to the target object is smaller than the preset air leakage, judging whether the target object meets a seventh mode switching condition based on the sleeping respiratory status of the target object, wherein the seventh mode switching condition is that the proportion of the cheyne-stokes respiration sleeping events in all sleeping respiratory events of the target object is larger than the preset proportion;

And if the target object meets the seventh mode switching condition, the adaptive servo ventilation mode is taken as a target ventilation mode.

In an alternative implementation, after switching the ventilation mode of the positive airway pressure therapy system from the initial ventilation mode to the target ventilation mode, the switching method of the device operation mode further includes:

The method comprises the steps of obtaining breathing index data of a target object in a target period, wherein the target period is a sub-period in a first preset period, and the target object is in a normal sleep breathing state in the target period;

And adjusting the breathing parameters of the positive pressure ventilation treatment system according to the breathing index data in the target period and the parameter adjustment strategy corresponding to the target ventilation mode.

Inputting the first respiratory index data and the first vital sign index data into a ventilation mode prediction model, and predicting a target ventilation mode matched with the health condition of the target object based on the first respiratory index data and the first vital sign index data by the ventilation mode prediction model;

The target application program is used for displaying the first respiratory index data and the first vital sign index data on a target interface in a preset data visualization mode.

The application provides a positive pressure ventilation treatment system, which comprises a breathing machine monitoring module, a vital sign parameter detection module and an intelligent control module;

The breathing machine monitoring module is used for monitoring first breathing index data of a target object in a first preset period and sending the first breathing index data to the intelligent control module, wherein the first breathing index data is breathing index data of the target object when the target object is treated in an initial ventilation mode of the positive pressure ventilation treatment system;

The vital sign parameter detection module is used for monitoring first vital sign index data of a target object in a first preset period and sending the first vital sign index data to the intelligent control module, wherein the first vital sign index data is the vital sign index data of the target object when the target object is treated in an initial ventilation mode of the positive ventilation treatment system;

The intelligent control module is used for receiving the first respiratory index data and the first vital sign index data, carrying out data analysis on the first respiratory index data and the first vital sign index data to obtain an analysis result, wherein the analysis result is used for representing the health condition of a target object, and the intelligent control module is also used for determining a target ventilation mode matched with the health condition of the target object from a plurality of ventilation modes of the positive pressure ventilation treatment system based on the analysis result and switching the ventilation mode of the positive pressure ventilation treatment system from an initial ventilation mode to a target ventilation mode.

Optionally, the positive airway pressure treatment system further comprises a breathing machine control module, a breathing machine humidification module and a breathing machine pressure supply module;

the breathing machine control module is used for adjusting the breathing parameters of the positive pressure ventilation treatment system according to the health condition of the target object;

The breathing machine humidification module is used for adjusting the humidity of the gas inhaled by the target object;

and the breathing machine pressure supply module is used for adjusting the pressure of the output gas of the positive pressure ventilation treatment system.

Optionally, the plurality of ventilation modes include a continuous positive airway pressure mode, an automatic continuous positive airway pressure mode, a bi-level positive airway pressure mode, an automatic bi-level positive airway pressure mode, and an adaptive servo ventilation mode, the bi-level positive airway pressure mode including a self-triggering and time-sparing mode.

Optionally, the analysis result includes sleep breathing conditions of the target object in a first preset period, and average air leakage of a breathing mask of the positive airway pressure treatment system worn by the target object in the first preset period;

The intelligent control module includes:

The first judging module is used for judging whether the proportion of central sleep events in all sleep respiratory events of the target object is smaller than a preset proportion or not based on the sleep respiratory condition if the average air leakage is smaller than the preset air leakage when the initial ventilation mode is the continuous positive airway pressure mode;

The second judging module is used for judging whether the target object meets a first mode switching condition based on the sleep breathing condition if the proportion of the central sleep event of the target object is smaller than a preset proportion, wherein the first mode switching condition is that the average apnea hypopnea index of the target object is larger than a first preset threshold value or the airway pressure of the target object is larger than a first preset pressure value;

and the first determining module is used for taking the automatic continuous positive airway pressure mode as a target ventilation mode if the target object meets the first mode switching condition.

Optionally, the intelligent control module further includes:

The third judging module is used for judging whether the target object meets a second mode switching condition or not based on the sleeping respiratory status if the target object does not meet the first mode switching condition, wherein the second mode switching condition is that the average tidal volume of the target object is smaller than a preset tidal volume threshold;

And the second determining module is used for taking the automatic bi-level positive airway pressure mode as a target ventilation mode if the target object meets a second mode switching condition.

Optionally, the intelligent control module further includes:

The monitoring module is used for monitoring second breathing index data and second vital sign index data of the target object in a second preset period if the target object does not meet a second mode switching condition, wherein the second preset period and the first preset period are two continuous periods, and the second preset period is later than the first preset period;

The first acquisition module is used for acquiring the treatment duration of the target object in the first preset period and the treatment duration in the second preset period if the target object is determined to not meet the first mode switching condition according to the second respiratory index data and the second vital sign index data and the target object is determined to not meet the second mode switching condition;

And the third determining module is used for taking the automatic continuous positive airway pressure mode as a target ventilation mode if the treatment duration of the first preset period and the treatment duration of the second preset period are smaller than the preset treatment duration.

Optionally, the intelligent control module further includes:

A fourth judging module, configured to judge, when the initial ventilation mode is an automatic continuous positive airway pressure ventilation mode, whether a proportion of occurrence of a central sleep event in the target object is smaller than a preset proportion based on a sleep respiratory condition of the target object if an average air leakage corresponding to the target object is smaller than a preset air leakage;

a fourth determining module, configured to directly use the continuous positive airway pressure mode as the target ventilation mode if the proportion of central sleep events occurring in the target subject is greater than a preset proportion;

The fifth judging module is used for judging whether the target object meets a third mode switching condition based on the sleep breathing condition if the proportion of the central sleep events of the target object is smaller than a preset proportion, wherein the third mode switching condition is that the breathing frequency corresponding to the target object is smaller than a preset frequency;

And a fifth determining module, configured to take the autonomous triggering and time standby frequency mode as the target ventilation mode if the target object meets the third mode switching condition.

Optionally, the analysis result further includes a blood pressure fluctuation condition of the target object within a first preset period;

the intelligent control module further comprises:

The sixth judging module is used for judging whether the target object meets a fourth mode switching condition based on the sleeping respiratory status if the target object does not meet the third mode switching condition, wherein the fourth mode switching condition is that the pressure level of the target object is greater than or equal to a second preset pressure value or the average tidal volume corresponding to the target object is smaller than a preset tidal volume threshold when the target object is treated by the automatic continuous positive airway pressure mode;

A sixth determining module, configured to take the automatic bi-level positive airway pressure mode as the target ventilation mode if the target object meets the fourth mode switching condition;

The seventh judging module is used for judging whether the target object meets a fifth mode switching condition based on the blood pressure fluctuation condition and the sleep breathing condition if the target object does not meet the fourth mode switching condition, wherein the fifth mode switching condition is that the airway pressure variation of the target object is smaller than a preset value, the maximum airway pressure is smaller than a second preset pressure value or the blood pressure fluctuation range of the target object is not within a preset blood pressure fluctuation range;

and a seventh determining module, configured to take the continuous positive airway pressure mode as the target ventilation mode if the target object meets the fifth mode switching condition.

Optionally, the intelligent control module further includes:

The eighth judging module is used for judging whether the target object meets a sixth mode switching condition or not based on the sleep respiratory condition and the blood pressure fluctuation condition of the target object if the average air leakage corresponding to the target object is smaller than the preset air leakage and the proportion of the central sleep event appearing in the target object is smaller than the preset proportion when the initial ventilation mode is the automatic double-level positive airway pressure ventilation mode;

And the eighth determining module is used for taking the autonomous triggering and time standby frequency mode as a target ventilation mode if the target object meets the sixth mode switching condition.

Optionally, the intelligent control module further includes:

A ninth judging module, configured to judge, when the initial ventilation mode is any one of a continuous positive airway pressure mode, an automatic double-level positive airway pressure mode, and an autonomous triggering and time standby mode, whether the target object meets a seventh mode switching condition based on a sleep respiratory condition of the target object if an average air leakage corresponding to the target object is smaller than a preset air leakage;

And a ninth determination module, configured to take the adaptive servo ventilation mode as the target ventilation mode if the target object meets the seventh mode switching condition.

Optionally, the positive airway pressure treatment system further comprises:

The system comprises a first acquisition module, a second acquisition module and a control module, wherein the first acquisition module is used for acquiring breathing index data of a target object in a target period;

And the parameter adjusting module is used for adjusting the breathing parameter of the positive pressure ventilation treatment system according to the breathing index data in the target period and the parameter adjusting strategy corresponding to the target ventilation mode.

Optionally, the positive airway pressure treatment system further comprises:

The ventilation mode prediction module is used for inputting the first breathing index data and the first vital sign index data into the ventilation mode prediction model, and predicting a target ventilation mode matched with the health condition of the target object based on the first breathing index data and the first vital sign index data by the ventilation mode prediction model;

A mode switching module for switching the ventilation mode of the positive airway pressure therapy system from an initial ventilation mode to a target ventilation mode.

Optionally, the positive airway pressure treatment system further comprises:

The data transmission module is used for transmitting the first breathing index data and the first vital sign index data to the target application program in a preset network transmission mode, and the target application program is used for displaying the first breathing index data and the first vital sign index data on a target interface in a preset data visualization mode.

Compared with the prior art, the application has the following beneficial effects:

According to the technical scheme, first respiratory index data and first vital sign index data of a target object in a first preset period are monitored, the first respiratory index data and the first vital sign index data are index data when the target object is treated by an initial ventilation mode of a positive ventilation treatment system, second data analysis is conducted on the first respiratory index data and the first vital sign index data, an analysis result representing the health condition of the target object can be obtained, then a target ventilation mode matched with the health condition of the target object is accurately determined from a plurality of ventilation modes of the positive ventilation treatment system based on the analysis result, and the ventilation mode of the positive ventilation treatment system is automatically switched from the initial ventilation mode to the target ventilation mode. According to the technical scheme, the ventilation mode of the positive pressure ventilation treatment system is adjusted in an automatic mode, the ventilation mode of the positive pressure ventilation treatment system is not required to be adjusted manually, and the problem that the existing positive pressure ventilation treatment system is not timely in response is solved.

Drawings

In order to more clearly illustrate the embodiments of the application or the technical solutions of the prior art, the drawings which are used in the description of the embodiments or the prior art will be briefly described, it being obvious that the drawings in the description below are only some embodiments of the application, and that other drawings can be obtained according to these drawings without inventive faculty for a person skilled in the art.

Fig. 1 is a flowchart of a method for switching operation modes of a device according to an embodiment of the present application;

FIG. 2 is a schematic diagram of a switching mode between a plurality of ventilation modes according to an embodiment of the present application;

FIG. 3 is a flow chart of a process for determining a target ventilation mode in CPAP mode provided in accordance with an embodiment of the present application;

FIG. 4 is a flow chart of another process for determining a target ventilation mode in CPAP mode provided by an embodiment of the present application;

FIG. 5 is a flow chart of a process for determining a target ventilation mode in Auto-CPAP mode provided in an embodiment of the present application;

FIG. 6 is a flowchart of a process for determining a target ventilation mode in Auto-BPAP mode according to an embodiment of the application;

FIG. 7 is a flow chart of a process for determining a target ventilation mode according to an embodiment of the present application;

Fig. 8 is a schematic structural diagram of a positive airway pressure treatment system according to an embodiment of the present application.

Detailed Description

As described above, the current positive airway pressure treatment system needs to manually adjust the ventilation mode of the positive airway pressure treatment system, which results in an untimely response of the positive airway pressure treatment system, which not only affects the compliance of SDB patients to the device, but also brings additional workload to medical staff.

The inventor provides a switching method of equipment working modes, first respiratory index data and first vital sign index data of a target object in a first preset period are monitored, the first respiratory index data and the first vital sign index data are index data when the target object is treated by an initial ventilation mode of a positive pressure ventilation treatment system, then the first respiratory index data and the first vital sign index data are subjected to data analysis, an analysis result representing the health condition of the target object can be obtained, then a target ventilation mode matched with the health condition of the target object is accurately determined from a plurality of ventilation modes of the positive pressure ventilation treatment system based on the analysis result, and the ventilation mode of the positive pressure ventilation treatment system is automatically switched from the initial ventilation mode to the target ventilation mode, so that the ventilation mode of the positive pressure ventilation treatment system is adjusted in an automatic mode, the ventilation mode of the positive pressure ventilation treatment system is not required to be adjusted in an artificial mode, and the problem that the positive pressure ventilation treatment system is not timely in response is avoided.

Keyword definition:

Continuous Positive Airway Pressure (CPAP) mode, abbreviated CPAP (Continuous Positive Airway Pressure) mode, which is useful in treating Obstructive sleep apnea (i.e., OSA, collectively referred to as OSC. RTM. SLEEP APNEA), central sleep apnea/tidal breathing (i.e., CSA-CSB, collectively referred to as CENTRAL SLEEP APNEA-Cheyne-Stokes Breathing), obstructive sleep apnea hypopnea Syndrome (abbreviated as OSAHS, collectively referred to as OSC. RTM. SLEEP APNEA Hypopnea Syndrome), partial obesity hypopnea Syndrome (abbreviated as OHS, collectively referred to as Obesity Hypoventilation Syndrome), partial central sleep apnea Syndrome (CSAS, collectively referred to as CENTRAL SLEEP APNEA Syndrome), and chronic Obstructive pulmonary disease (chronic Obstructive pulmonary disease) -Obstructive sleep apnea overlap Syndrome and treatment related central sleep apnea, as well as in moderately severe OSA patients or OSA patients with overt symptoms (daytime sleepiness, cognitive impairment, insomnia, etc.), or with certain conditions (e.g., hypertension, coronary heart disease, cerebrovascular disease, diabetes, etc.). Is not suitable for NMD (all called Neuromuscular Disease, neuromuscular disease) and primary pulmonary disease patients. Furthermore, CPAP mode does not allow for automatic adjustment of pressure levels and tidal volume levels as required by the patient, and is not suitable for patients with heavy CO2 retention.

An automatic Continuous Positive Airway Pressure (CPAP) mode, abbreviated as APAP (Auto-Positive Airway Pressure) mode or Auto-CPAP (Automatic Continuous Positive Airway Pressure) mode, which is suitable for patients with congestive heart failure (i.e., congestive heart failure, CHF), OSAHS who are intolerant of CPAP mode, without significant lung disease, without nocturnal oxygen saturation reduction due to non-obstructive respiratory events, and moderately severe OSA patients without CSAS, for patients with OSAHS that have unstable apneas, and patients with posture changes affecting greater OSA, but at risk for central sleep apnea (i.e., CENTRAL SLEEP APNEA, abbreviated as CSA) treatment. Treatment of patients with OSAHS with cardiopulmonary disease or nocturnal hypoxia independent of obstructive events is not applicable.

A bi-level positive airway pressure mode, referred to as BPAP (Bilevel Positive Airway Pressure), which is useful in the treatment of OSA patients, and is indicative of chronic alveolar hypopnea (chronic alveolar hypoventilation, CAH) patients with C02 retention, especially sleep heavy. BPAP mode therapy may be tried for patients who failed to use CPAP mode therapy. The BPAP mode operation mode is classified as either having or not having a standby frequency (i.e., S/ST mode). Indication: no back-up frequency (BPAP-S mode) is indicated for treating OSAHS patients not tolerating CPAP mode treatment, OSAHS complicated with CSA, neuromuscular disease, thoracic deformity, chronic obstructive pulmonary complicated with OSA (overlap syndrome) and OHS. Has a back-up frequency (BPAP-ST mode, i.e., autonomous triggering and time back-up frequency mode) suitable for treating CSA, post-treatment CSAS, neuromuscular diseases, thoracic deformities, severe OHS, and sleep-related hypoventilation diseases.

An automatic bi-level positive airway pressure mode, auto-BPAP (Automatic Bilevel Positive Airway Pressure) for short, which is useful for initial treatment of moderately severe OSA without significant cardiopulmonary complications, as well as for treatment of moderately severe OSA patients associated with body weight fluctuations, posture or R-phase and intolerant CPAP mode treatment.

An Adaptive Servo Ventilation mode, ASV (Adaptive Servo-Ventilation) mode for short, is suitable for patients with CHF with CSA-CSB, CSAS and opioid-induced CSA with left ventricular ejection fraction > 45%. The main advantage of ASV is stable ventilation.

The Apnea Hypopnea Index (AHI) is called Apnea-Hypopnea Index. The AHI is an important indicator of assessing the severity of sleep disordered breathing and represents the average number of apneic and hypopneas events occurring during an hour of sleep.

In order to make the present application better understood by those skilled in the art, the following description will clearly and completely describe the technical solutions in the embodiments of the present application with reference to the accompanying drawings, and it is apparent that the described embodiments are only some embodiments of the present application, not all embodiments. All other embodiments, which can be made by those skilled in the art based on the embodiments of the application without making any inventive effort, are intended to be within the scope of the application.

Method embodiment

The embodiments of the present application provide an embodiment of a method for switching modes of operation of a device, it being noted that the steps illustrated in the flowcharts of the figures may be performed in a computer system, such as a set of computer executable instructions, and that although a logical order is illustrated in the flowcharts, in some cases the steps illustrated or described may be performed in an order other than that illustrated herein.

Referring to fig. 1, the flowchart of a method for switching operation modes of a device according to an embodiment of the present application is applied to a positive airway pressure treatment system, as shown in fig. 1, and the method includes the following steps:

Step S101, monitoring first respiratory index data and first vital sign index data of a target object within a first preset period.

In step S101, the first respiratory index data and the first vital sign index data are both index data of the target subject when the target subject is subjected to the initial ventilation mode treatment of the positive airway pressure treatment system. The first vital sign data includes, but is not limited to, airway pressure, tidal volume, respiratory rate, oxygen concentration, etc. of the target subject, and the first vital sign data includes, but is not limited to, sleep arousal times of the target subject (i.e. times of short arousal when the target subject is in a sleep state at night), blood oxygen saturation, blood pressure (when a non-spoon or anti-spoon blood pressure characteristic trend chart appears, which indicates that a blood pressure regulating mechanism appears, respiratory parameters need to be regulated in time, when the target subject blood pressure is higher than 90 and lower than 60, a ventilator alarm module of the positive pressure ventilation treatment system can send an audible and visual alarm to remind relevant personnel to timely process and stop providing ventilation support for the target subject), carbon dioxide level (when the carbon dioxide level rises, which indicates that the target subject is under ventilation or respiratory center is suppressed, respiratory support needs to be increased, respiratory support needs to be reduced when the target subject carbon dioxide level is lower), respiratory parameters (e.g. AHI, tidal volume variation, respiratory rate variation, etc.), sleep cycle, etc. Wherein, the sleep arousal times of the target object are related to the sleep state of the target object, and are more closely related to the AHI. For example, sleep arousal events may occur in a subject when the subject is under excessive pressure, sleep fragmentation, inadequate therapeutic pressure, and a significant amount of air leakage from the respiratory mask.

In this embodiment, the first preset period is a preset period, for example, the first preset period may be a period from 8:00am on the previous day to 8:00am on the next day.

In this embodiment, the initial ventilation mode and breathing parameters may be determined by pressure titration when the subject is initially treated with the positive airway pressure therapy system.

Step S102, data analysis is carried out on the first respiratory index data and the first vital sign index data, and an analysis result is obtained.

In the embodiment of the application, the positive airway pressure treatment system may perform data analysis on the first respiratory index data and the first vital sign index data, and the analysis result obtained may include a respiratory mask of the positive airway pressure treatment system worn by the target object, an average air leakage amount in a first preset period, a sleep respiratory condition of the target object in the first preset period, such as a sleep respiratory event condition (for example, a central sleep event, a cheynes-stokes respiratory sleep event, etc.), an average apnea hypopnea index, an airway pressure, an average tidal volume, a respiratory frequency, a pressure level of the target object when the target object is treated in the automatic continuous positive airway pressure ventilation mode, and a blood pressure fluctuation condition (for example, a condition of a blood pressure fluctuation amplitude), and a blood oxygen saturation.

Step S103, determining a target ventilation mode matching the health condition of the target subject from a plurality of ventilation modes of the positive airway pressure treatment system based on the analysis result.

In an embodiment of the application, the plurality of ventilation modes include a continuous positive airway pressure mode (i.e., CPAP mode), an automatic continuous positive airway pressure mode (i.e., auto-CPAP mode), a bi-level positive airway pressure mode (i.e., BPAP mode), an automatic bi-level positive airway pressure mode (i.e., auto-BPAP mode), and an adaptive servo ventilation mode (i.e., ASV mode), wherein the bi-level positive airway pressure mode includes an Auto-triggering and a temporal standby mode (i.e., BPAP-ST mode).

Alternatively, the switching mode between the multiple ventilation modes of the positive airway pressure treatment system may be as shown in fig. 2, wherein the ventilation mode of the positive airway pressure treatment system may be switched from any one of CPAP mode, auto-CPAP mode, BPAP-ST mode, and Auto-BPAP mode to ASV mode, and the switching mode is a unidirectional mode, that is, the ventilation mode of the positive airway pressure treatment system may not be switched from any one of ASV mode to CPAP mode, auto-CPAP mode, BPAP-ST mode, and Auto-BPAP mode, and the ventilation mode of the positive airway pressure treatment system may be switched from CPAP mode to Auto-CPAP mode, and the switching mode may be a bidirectional mode, that is, the ventilation mode of the positive airway pressure treatment system may be switched from Auto-CPAP mode to Auto-BPAP mode, from Auto-CPAP mode to Auto-BPAP-ST mode, and from Auto-BPAP mode to BPST-mode, wherein the Auto-CPAP mode is switched to Auto-CPAP mode to BPAP mode is higher priority than the Auto-CPAP mode.

In this embodiment, when the initial ventilation mode is any one of the CPAP mode, auto-CPAP mode, BPAP-ST mode, and Auto-BPAP mode, if the blood oxygen saturation level of the target object is detected to be less than 90%, the positive pressure ventilation therapy system may start the oxygen therapy mode to control the control valve of the oxygen line between the positive pressure ventilation therapy system and the oxygen generator to be opened so as to realize oxygen supplementation.

In order to achieve the adjustment of the ventilation mode of the positive airway pressure treatment system in an automatic manner, and solve the problem of untimely response of the positive airway pressure treatment system, in this embodiment, the positive airway pressure treatment system may accurately determine a target ventilation mode matching the health condition of the target subject from a plurality of ventilation modes based on the analysis result and the preset mode switching condition. Specifically, referring to fig. 3, fig. 3 is a flowchart of a process for determining a target ventilation mode in a CPAP mode according to an embodiment of the present application, the process includes the following steps:

Step S301, when the initial ventilation mode is the continuous positive airway pressure mode, if the average air leakage is smaller than the preset air leakage, determining whether the proportion of occurrence of central sleep events is smaller than the preset proportion in all sleep respiratory events of the target object based on the sleep respiratory condition.

In this embodiment, the average air leakage is the average air leakage of the breathing mask of the positive airway pressure treatment system worn by the target object in a first preset period, and the preset air leakage is a preset air leakage threshold (for example, 30L per minute). If the average air leakage is smaller than the preset air leakage, the air leakage of the breathing mask of the positive pressure ventilation treatment system worn by the target object is in a normal range, and if the average air leakage is larger than or equal to the preset air leakage, the air leakage of the breathing mask of the positive pressure ventilation treatment system worn by the target object is not in the normal range, so that the treatment effect of the positive pressure ventilation treatment system is affected, and at the moment, an alarm system of the positive pressure ventilation treatment system can give out audible and visual alarm to prompt related personnel to timely treat. The sleep respiratory condition is a sleep respiratory condition of the target subject within a first preset period, wherein the sleep respiratory condition may include a condition in which a central sleep event occurs in all sleep respiratory events of the target subject within the first preset period.

Optionally, the preset proportion is a preset threshold (e.g., 30%) of the proportion of occurrence of central sleep events. Because the central sleep event appears, the influence degree on the ventilation mode to which the positive pressure ventilation treatment system is switched is larger, and therefore, by judging whether the proportion of the central sleep event appears in all sleep respiratory events of the target object is smaller than the preset proportion, an important basis can be provided for accurately determining the target ventilation mode matched with the health condition of the target object.

By determining that the average air leakage corresponding to the target object is smaller than the preset air leakage, it can be determined whether the positive pressure ventilation treatment system has an abnormality (for example, abnormality in pressure setting, abnormality in pipe connection, damage or aging of the respiratory mask, etc.), and the target ventilation mode determined when the positive pressure ventilation treatment system is in an abnormal state is avoided as the optimal ventilation mode, so that the optimal ventilation mode matched with the health condition of the target object can be accurately determined.

Step S302, if the proportion of the central sleep event of the target object is smaller than the preset proportion, judging whether the target object meets the first mode switching condition based on the sleep breathing condition.

In step S302, the first mode switching condition is that the average apneic hypopneas index of the target subject is greater than a first preset threshold, or that the airway pressure of the target subject is greater than a first preset pressure value.

In this embodiment, if the proportion of central sleep events occurring in the target subject is less than a predetermined proportion (e.g., less than 30%), the positive airway pressure treatment system may determine that the frequency of occurrence of central sleep apnea in the target subject is low, and at this time, the positive airway pressure treatment system may determine the target ventilation mode matching the health condition of the target subject by determining whether the target subject satisfies the first mode switching condition (e.g., average AHI >10 times, or airway pressure >13cmH ₂ O).

Optionally, continuing to treat the Continuous Positive Airway Pressure (CPAP) mode as a target ventilation mode that matches the health of the target subject if the target subject has a proportion of central sleep events greater than a preset proportion.

In step S303, if the target object satisfies the first mode switching condition, the automatic continuous positive airway pressure mode is set as the target ventilation mode.

For example, the average AHI of the target subject over the first preset period of time is 12 times, or the airway pressure of the target subject over the first preset period of time is 14cmH ₂ O, the positive airway pressure treatment system may determine that the target subject satisfies the first mode switching condition, average AHI >10 times, or airway pressure >13cmH ₂ O, and take the Auto-CPAP mode as the target ventilation mode.

When the initial ventilation mode is the CPAP mode, the target ventilation mode matched with the health condition of the target subject is determined by the average ventilation amount, the proportion of occurrence of central sleep events, the average AHI and the airway pressure corresponding to the target subject, so that the optimal ventilation mode corresponding to the target subject when the initial ventilation mode is the CPAP mode can be accurately determined, and an accurate data base can be provided for realizing adjustment of the ventilation mode of the positive pressure ventilation treatment system in an automatic manner.

Optionally, referring to fig. 4, fig. 4 is a flowchart of another process for determining a target ventilation mode in a CPAP mode according to an embodiment of the present application, the process including the steps of:

in step S401, if the target object does not meet the first mode switching condition, it is determined whether the target object meets the second mode switching condition based on the sleep breathing condition.

In step S401, the second mode switching condition is that the average tidal volume of the target object is less than a preset tidal volume threshold, for example, the average tidal volume is less than 300mL.

In this embodiment, the positive airway pressure treatment system may determine whether the target subject meets the second mode switch condition based on the average tidal volume of the target subject during the sleep breathing condition over the first preset period of time. For example, the average AHI of the target subject over the first preset time period is 8 times and the airway pressure of the target subject over the first preset time period is 10cmH ₂ O, the positive airway pressure treatment system may determine that the target subject does not meet the first mode switching condition, average AHI >10 times, or airway pressure >13cmH ₂ O, at which time the positive airway pressure treatment system may determine whether the target subject meets the second mode switching condition (e.g., average tidal volume <300 mL) from the sleep breathing condition to determine a target ventilation mode that matches the health condition of the target subject.

In step S402, if the target object satisfies the second mode switching condition, the automatic bi-level positive airway pressure mode is set as the target ventilation mode.

For example, the average tidal volume of the target subject over the first preset period of time is 280mL, and the positive airway pressure therapy system determines that the target subject does not meet the second mode switch condition, average tidal volume <300mL, at which point the positive airway pressure therapy system may treat Auto-BPAP mode as the target ventilation mode.

Optionally, if the target object does not meet the second mode switching condition, the positive airway pressure treatment system may monitor second respiratory index data and second vital sign index data of the target object in a second preset period, where the second preset period and the first preset period are two continuous periods, the second preset period is later than the first preset period, and if the positive airway pressure treatment system determines that the target object does not meet the first mode switching condition according to the second respiratory index data and the second vital sign index data, and the target object does not meet the second mode switching condition, the treatment duration of the target object in the first preset period and the treatment duration of the target object in the second preset period may be obtained, and if the treatment duration of the first preset period and the treatment duration of the target object in the second preset period are both less than the preset treatment duration, the positive airway pressure treatment system may use the automatic continuous positive airway pressure mode as the target airway pressure mode.

For example, the average tidal volume of the target subject in the period A from 12 months 4 days 8:00am to 12 months 5 days 8:00am is 310mL, the average tidal volume is less than 300mL, at which time the positive airway pressure treatment system may monitor in real time the second respiratory index data and the second vital sign index data of the target subject in the period B from 12 months 5 days 8:00am to 12 months 6 days 8:00am, if the average tidal volume of the target subject in the period B is less than the preset tidal volume, the proportion of occurrence of central sleep events is less than the preset proportion, the average AHI is less than 10 times, the airway pressure is less than 13cmH ₂ O, and the average tidal volume is greater than 300mL, the positive airway pressure treatment system may determine that the target subject does not meet the first mode switching condition, and the target subject does not meet the second mode switching condition, and obtain the treatment duration (e.g., 3 h) of the period B, then the positive airway pressure treatment system may determine that in the mode, the target subject is continuously treated for two periods of time, the preset duration of time is less than 4 CPAP-1 h, and the target airway pressure treatment duration is taken as the target airway duration.

When it is determined that the target object does not meet the first mode switching condition and the target object does not meet the second mode switching condition, the target ventilation mode matched with the health condition of the target object is determined by the treatment duration in two continuous time periods, so that the optimal ventilation mode matched with the health condition of the target object can be determined in time, and the problem of untimely response of the positive pressure ventilation treatment system can be avoided.

Optionally, referring to fig. 5, fig. 5 is a flowchart of a process for determining a target ventilation mode in Auto-CPAP mode according to an embodiment of the present application, the process including the steps of:

In step S501, when the initial ventilation mode is the automatic continuous positive airway pressure mode, if the average air leakage corresponding to the target object is smaller than the preset air leakage, based on the sleep respiratory status of the target object, it is determined whether the proportion of central sleep events occurring in the target object is smaller than the preset proportion.

In this embodiment, the average ventilation is the average ventilation of a breathing mask of the positive airway pressure treatment system worn by the target subject in a first preset period, and the sleep breathing condition is the sleep breathing condition of the target subject in the first preset period.

In step S502, if the proportion of central sleep events occurring in the target subject is greater than the preset proportion, the cpap mode is directly used as the target ventilation mode.

In this embodiment, if the proportion of central sleep events occurring in the target subject is greater than the preset proportion (e.g., greater than 30%), the positive airway pressure treatment system may determine that the frequency of occurrence of central sleep apnea in the target subject is high, and then the positive airway pressure treatment system may directly use the CPAP mode as the optimal ventilation mode (i.e., the target ventilation mode) that matches the health condition of the target subject.

In step S503, if the proportion of occurrence of central sleep events of the target object is smaller than the preset proportion, it is determined whether the target object satisfies the third mode switching condition based on the sleep breathing condition.

In step S503, the third mode switching condition is that the breathing frequency corresponding to the target object is smaller than the preset frequency, for example, the preset frequency may be set to 8 times.

In this embodiment, when the proportion of occurrence of central sleep events in the target subject is smaller than the preset proportion, the positive airway pressure treatment system may determine whether the target subject satisfies the third mode switching condition based on the respiratory rate of the target subject in the sleep respiratory condition within the first preset period. Wherein the respiratory rate is the median of all respiratory rates of the target subject within the first preset period.

In step S504, if the target object satisfies the third mode switching condition, the autonomous triggering and time standby mode is set as the target ventilation mode.

In this embodiment, the positive airway pressure therapy system may treat the BPAP-ST pattern as the best ventilation pattern matching the health of the target subject when the target subject meets a third pattern switching condition (e.g., respiratory rate > 8).

Optionally, if the target subject does not meet the third mode switching condition, the positive airway pressure treatment system may determine a target ventilation mode that matches the health of the target subject by:

and step 11, if the target object does not meet the third mode switching condition, judging whether the target object meets the fourth mode switching condition based on the sleep breathing condition.

In step 11, the fourth mode switching condition is that the pressure level (i.e., P95) of the target subject when undergoing the automatic cpap mode therapy is greater than or equal to the second preset pressure value, or the average tidal volume corresponding to the target subject is less than the preset tidal volume threshold. For example, P95. Gtoreq.15 cmH ₂ O, or average tidal volume <300mL.

And step 12, if the target object meets the fourth mode switching condition, the automatic bi-level positive airway pressure mode is taken as a target ventilation mode.

In this embodiment, the positive airway pressure therapy system may directly treat the Auto-BPAP mode as the optimal ventilation mode that matches the health of the target subject when the target subject is undergoing treatment in the automatic continuous positive airway pressure mode for a first preset period of time at a pressure level >15cmH ₂ O, or an average tidal volume <300Ml.

And step 13, if the target object does not meet the fourth mode switching condition, judging whether the target object meets the fifth mode switching condition based on the blood pressure fluctuation condition and the sleep breathing condition.

In step 13, the fifth mode switching condition is that the airway pressure variation of the target object is smaller than a preset value (for example, the airway pressure variation <2cmH ₂ O), and the maximum airway pressure is smaller than a second preset pressure value (for example, the maximum airway pressure <15cmH ₂ O), or the blood pressure fluctuation range of the target object is not within the preset blood pressure fluctuation range.

In this embodiment, the positive airway pressure treatment system may determine a target ventilation pattern that matches the health condition of the target subject based on airway pressure and blood pressure fluctuations in the sleep breathing condition of the target subject over a first preset period of time.

And step 14, if the target object meets the fifth mode switching condition, the continuous positive airway pressure mode is taken as a target ventilation mode.

In this embodiment, if the airway pressure variation of the target subject is less than 2cmH ₂ O and the airway pressure variation is less than 2cmH ₂ O within the first preset period, or the blood pressure fluctuation range of the target subject is not within the preset blood pressure fluctuation range, the positive airway pressure treatment system may use the CPAP mode as the optimal ventilation mode matched with the health condition of the target subject.

The above steps 11 to 14 are not shown in the drawings.

Optionally, referring to fig. 6, fig. 6 is a flowchart of a process for determining a target ventilation mode in Auto-BPAP mode according to an embodiment of the present application, the process includes the following steps:

In step S601, when the initial ventilation mode is the automatic bi-level positive airway pressure mode, if the average air leakage corresponding to the target object is smaller than the preset air leakage and the proportion of the central sleep events occurring in the target object is smaller than the preset proportion, it is determined whether the target object meets the sixth mode switching condition based on the sleep respiratory condition and the blood pressure fluctuation condition of the target object.

In step S601, the sixth mode switching condition is that the average tidal volume corresponding to the target object is smaller than the preset tidal volume threshold, or the blood pressure fluctuation range of the target object is not within the preset blood pressure fluctuation range.

In order to accurately determine the optimal ventilation mode matching the health condition of the target subject, in this embodiment, when the initial ventilation mode is the Auto-BPAP mode, the positive airway pressure treatment system may determine whether the positive airway pressure treatment system has an abnormal condition (for example, an abnormal pressure setting, abnormal conduit connection, damaged respiratory mask, or aged condition, etc.) by determining that the average ventilation amount corresponding to the target subject is less than the preset ventilation amount, and when the positive airway pressure treatment system has no abnormal condition, and the proportion of central sleep events occurring in the target subject is less than 30%, determine the optimal ventilation mode matching the health condition of the target subject by determining the average tidal volume and the fluctuation range of blood pressure of the target subject in the first preset period.

In step S602, if the target object satisfies the sixth mode switching condition, the autonomous triggering and time standby mode is set as the target ventilation mode.

In this embodiment, the positive airway pressure treatment system may directly use the BPAP-ST mode as the optimal ventilation mode that matches the health condition of the target subject when it is determined that the average tidal volume of the target subject is <300mL, or that the blood pressure fluctuation range of the target subject is not within the preset blood pressure fluctuation range.

Optionally, referring to fig. 7, fig. 7 is a flowchart of a process for determining a target ventilation mode according to an embodiment of the present application, where the process includes the following steps:

In step S701, when the initial ventilation mode is any one of the continuous positive airway pressure mode, the automatic double-level positive airway pressure mode, and the autonomous triggering and time standby frequency mode, if the average air leakage corresponding to the target object is smaller than the preset air leakage, based on the sleep respiratory condition of the target object, whether the target object meets the seventh mode switching condition is determined.

In this embodiment, the average ventilation is the average ventilation of a breathing mask of the positive airway pressure treatment system worn by the target subject in a first preset period, and the sleep breathing condition is the sleep breathing condition of the target subject in the first preset period, wherein the sleep breathing condition may include a condition that the target subject has a cheyne-stokes respiration sleep event in all sleep breathing events in the first preset period.

In step S701, the seventh mode switching condition is that, of all sleep respiratory events of the target subject, the proportion of occurrence of cheynes-stokes respiratory sleep events is greater than a preset proportion, for example, the proportion of occurrence of chees-stokes respiratory sleep events is greater than 30%.

In step S702, if the target object satisfies the seventh mode switching condition, the adaptive servo ventilation mode is set as the target ventilation mode.

In this embodiment, since the cheyne-stokes respiratory sleep event is characterized by a gradual increase to peak followed by a gradual decrease until a brief cessation of breathing, and then a subsequent restart, a periodic variation is created, the positive airway pressure therapy system may directly treat the ASV mode as the optimal ventilation mode that matches the health of the target subject when the initial ventilation mode is any one of CPAP mode, auto-BPAP mode, and BPAP-ST mode.

Step S104, switching the ventilation mode of the positive airway pressure treatment system from the initial ventilation mode to the target ventilation mode.

In this embodiment, after determining a target ventilation mode that matches the health condition of the target subject, the positive airway pressure therapy system may automatically switch the ventilation mode from the initial ventilation mode to the target ventilation mode. For example, where the initial ventilation mode is CPAP mode and the target ventilation mode is Auto-BPAP mode, the positive airway pressure therapy system may automatically switch the ventilation mode from CPAP mode to Auto-BPAP mode.

In order to enhance the treatment effect and thereby enhance the experience of the user, in this embodiment, after the ventilation mode of the positive pressure ventilation treatment system is switched from the initial ventilation mode to the target ventilation mode, the positive pressure ventilation treatment system may acquire respiratory index data of the target object in a target period, where the target period is a sub-period in a first preset period, and the target object is in a normal sleep respiratory state in the target period, and then the positive pressure ventilation treatment system may adjust respiratory parameters of the positive pressure ventilation treatment system according to the respiratory index data in the target period and a parameter adjustment policy corresponding to the target ventilation mode.

In this embodiment, the normal sleep breathing state is used to indicate that the breathing frequency, the breathing depth, the breathing pattern, and the like of the target subject in the sleep state are all within a healthy range. The parameter adjustment strategy is used to ensure the effectiveness of positive airway pressure therapy and user comfort, with different ventilation modes corresponding to different parameter adjustment strategies, e.g., CPAP mode parameter adjustment strategy is a fixed pressure adjustment, typically only one fixed EPAP setting, for maintaining airway patency throughout the respiratory cycle, BPAP mode parameter adjustment strategy is a dual pressure adjustment, including IPAP (positive inspiratory pressure): higher pressure helping the patient inhale air more easily, and EPAP (positive expiratory pressure): lower pressure facilitating exhalation.

Alternatively, when the ventilation mode of the positive airway pressure treatment system is switched from CPAP mode to Auto-CPAP mode, the positive airway pressure treatment system may adjust the breathing parameters of the positive airway pressure treatment system based on breathing index data (e.g., the treatment pressure value at the time of the pressure drop of the CPAP mode) when the target subject is in a normal sleep breathing state, and a parameter adjustment strategy corresponding to the CPAP mode. After a target subject has been subjected to CPAP mode treatment by the positive airway pressure treatment system for a preset period of time (e.g., one day), the positive airway pressure treatment system may automatically adjust the breathing parameter based on the health of the target subject, e.g., the minimum treatment pressure may be set to P95-2 and the maximum treatment pressure may be set to P95+4.

Optionally, when the ventilation mode of the positive airway pressure treatment system is switched from the CPAP mode to the Auto-BPAP mode, the positive airway pressure treatment system can adjust the respiratory parameter to be the minimum respiratory pressure P95-4, the maximum respiratory pressure P95+PS, PS being the pressure support, the PS value taking 2-5, the maximum respiratory pressure P95+PS being less than or equal to 25, the PS value initially being set to 3, when the tidal volume of the target object is between [300,500], the respiratory parameter does not need to be adjusted, when the tidal volume of the target object is greater than 500, the PS is gradually reduced, when the tidal volume is still less than 300, the PS value is gradually increased, when the tidal volume is still less than 300, and when the tidal volume is still less than 300 after the PS value is adjusted, the PS value is continuously increased until the tidal volume is between [300,500 ].

Optionally, when the ventilation mode of the positive airway pressure therapy system is switched from Auto-CPAP mode to CPAP mode, the positive airway pressure therapy system may adjust the respiratory parameter to be either P95 or P90 based on the respiratory index data (e.g., the therapeutic pressure value) and the corresponding parameter adjustment strategy for the CPAP mode.

Optionally, when the ventilation mode of the positive airway pressure treatment system is switched from the Auto-CPAP mode to the Auto-BPAP mode or the BPAP-ST mode, the positive airway pressure treatment system can adjust the respiratory parameters to be the minimum respiratory pressure P95-4, the maximum respiratory pressure P95+PS, PS being pressure support, the PS being between [2,5], the maximum respiratory pressure P95+PS being less than or equal to 25, the PS value being initially set to 3, if the tidal volume is between [300,500], the respiratory parameters being unnecessary to adjust, if the tidal volume is >500, the PS being decreased, if the tidal volume is <300, the PS value being gradually increased until the tidal volume is between [300,500 ].

Optionally, when the ventilation mode of the positive airway pressure treatment system is switched from the Auto-BPAP mode to the BPAP-ST mode, the positive airway pressure treatment system may adjust the respiratory parameter to be a minimum respiratory pressure P95-4, a maximum respiratory pressure p95+ps, PS being a pressure support, PS being between [2,5], a maximum respiratory pressure p95+ps being less than or equal to 25, PS being initially set to 3, if the tidal volume is between [300,500], there is no need to adjust the respiratory parameter, if the tidal volume is >500, PS is reduced, if the tidal volume is <300, the PS value is gradually increased until the tidal volume is between [300,500 ].

Optionally, when the ventilation mode of the positive airway pressure therapy system is switched from any one of CPAP mode, auto-CPAP mode, BPAP-ST mode, auto-BPAP mode to ASV mode, the positive airway pressure therapy system may adjust the respiratory parameters to a maximum inspiratory pressure of 30cmH ₂ O and a minimum expiratory pressure of 4cmH ₂ O based on respiratory index data (e.g., therapeutic pressure and tidal volume) and a corresponding parameter adjustment strategy for the Auto-BPAP mode, automatically adjusting the inspiratory pressure and expiratory pressure to be consistent with the tidal volume of normal breathing.

To further increase the response rate of the positive airway pressure therapy system, in this embodiment, the positive airway pressure therapy system may input the first respiratory index data and the first vital sign index data into a ventilation mode prediction model, predict a target ventilation mode matching the health condition of the target subject based on the first respiratory index data and the first vital sign index data by the ventilation mode prediction model, and then switch the ventilation mode of the positive airway pressure therapy system from the initial ventilation mode to the target ventilation mode.

In this embodiment, the ventilation mode prediction model may be a pre-trained machine learning model, and the ventilation mode prediction model is based on the first respiratory index data and the first vital sign index data, so that the target ventilation mode matched with the health condition of the target object can be accurately predicted, and the positive pressure ventilation therapy system can switch the ventilation mode from the initial ventilation mode to the target ventilation mode in time, thereby improving the response rate of the positive pressure ventilation therapy system.

In order to avoid the problems of heavy workload of personnel and high error rate of recorded index data caused by manual recording of index data, in the embodiment, the positive pressure ventilation treatment system can transmit the first respiratory index data and the first vital sign index data to a target application program through a preset network transmission mode, wherein the target application program is used for displaying the first respiratory index data and the first vital sign index data on a target interface through a preset data visualization mode.

In this embodiment, the preset network transmission mode includes, but is not limited to, bluetooth transmission, wi-Fi transmission, mobile communication (4G/5G) transmission, and the like. The positive pressure ventilation treatment system can transmit the first respiratory index data and the first vital sign index data to the target application program in a Bluetooth transmission mode and the like so as to display the first respiratory index data and the first vital sign index data on a target interface, so that related personnel can view related index data of a target object in real time.

By the switching method of the equipment working modes, the target ventilation mode matched with the health condition of the target object can be accurately determined from a plurality of ventilation modes of the positive pressure ventilation treatment system, and the ventilation mode of the positive pressure ventilation treatment system is automatically switched from the initial ventilation mode to the target ventilation mode, so that the ventilation mode of the positive pressure ventilation treatment system is automatically adjusted, the ventilation mode of the positive pressure ventilation treatment system is not required to be manually adjusted, and the problem of untimely response of the conventional positive pressure ventilation treatment system is solved. By the switching method of the equipment working modes, the ventilation mode and the breathing parameters can be timely adjusted according to the requirements of different objects, so that adverse reactions of a positive pressure ventilation treatment system in the treatment process are reduced, the treatment safety and effectiveness of the positive pressure ventilation treatment system are enhanced, and the experience of the objects is remarkably improved.

System embodiment

An embodiment of the present application provides a positive airway pressure treatment system, wherein fig. 8 is a schematic diagram of the positive airway pressure treatment system provided by the embodiment of the present application, and as shown in fig. 8, the system includes a ventilator monitoring module 11, a vital sign parameter detection module 12, and an intelligent control module 13. The connection between several modules can be seen from fig. 8.

The ventilator monitoring module 11 is configured to monitor first respiratory index data of a target object within a first preset period, and send the first respiratory index data to the intelligent control module, where the first respiratory index data is respiratory index data of the target object when the target object is treated in an initial ventilation mode of the positive pressure ventilation treatment system;

The vital sign parameter detection module 12 is configured to monitor first vital sign index data of the target object within a first preset period, and send the first vital sign index data to the intelligent control module, where the first vital sign index data is vital sign index data of the target object when the target object is treated in an initial ventilation mode of the positive ventilation therapy system;

The intelligent control module 13 is configured to receive the first respiratory index data and the first vital sign index data, perform data analysis on the first respiratory index data and the first vital sign index data to obtain an analysis result, characterize a health condition of the target subject, determine a target ventilation mode matching the health condition of the target subject from a plurality of ventilation modes of the positive pressure ventilation therapy system based on the analysis result, and switch the ventilation mode of the positive pressure ventilation therapy system from the initial ventilation mode to the target ventilation mode.

According to the technical scheme, the first breathing index data of the target object is monitored in real time through the breathing machine monitoring module when the target object is treated by the initial ventilation mode of the positive pressure ventilation treatment system, the first vital sign index data of the target object is monitored in real time through the vital sign parameter detection module when the target object is treated by the initial ventilation mode of the positive pressure ventilation treatment system, the first breathing index data and the first vital sign index data are subjected to data analysis through the intelligent control module, an analysis result representing the health condition of the target object can be obtained, then the target ventilation mode matched with the health condition of the target object is accurately determined from a plurality of ventilation modes of the positive pressure ventilation treatment system through the intelligent control module based on the analysis result, and the ventilation mode of the positive pressure ventilation treatment system is automatically switched from the initial ventilation mode to the target ventilation mode, so that the ventilation mode of the positive pressure ventilation treatment system is adjusted in an automatic mode, the ventilation mode of the positive pressure ventilation treatment system is not required to be adjusted in an artificial mode, and the problem that the response of the conventional positive pressure ventilation treatment system is not timely is solved.

Optionally, the positive pressure ventilation treatment system further comprises a breathing machine alarm module, which is used for sending out an audible and visual alarm to remind relevant personnel to process in time when the positive pressure ventilation treatment system fails or the breathing parameter of a target object exceeds a preset range. The alarm content includes, but is not limited to, airway pressure exceeding a preset range, oxygen concentration exceeding a preset range, power failure, and the like.

The intelligent control module includes:

Optionally, the intelligent control module further includes:

the intelligent control module further comprises:

Optionally, the intelligent control module further includes:

Optionally, the positive airway pressure treatment system further comprises:

It should be noted that, in the present specification, each embodiment is described in a progressive manner, and identical and similar parts of each embodiment are all referred to each other, and each embodiment is mainly described in a different point from other embodiments. In particular, for system embodiments, since they are substantially similar to method embodiments, the description is relatively simple, with reference to the description of method embodiments in part. The system embodiments described above are merely illustrative, wherein elements illustrated as separate elements may or may not be physically separate, and elements illustrated as elements may or may not be physical elements, may be located in one place, or may be distributed over a plurality of network elements. Some or all of the modules may be selected according to actual needs to achieve the purpose of the solution of this embodiment. Those of ordinary skill in the art will understand and implement the present invention without undue burden.

The foregoing is only one specific embodiment of the present application, but the scope of the present application is not limited thereto, and any changes or substitutions easily contemplated by those skilled in the art within the technical scope of the present application should be included in the scope of the present application. Therefore, the protection scope of the present application should be subject to the protection scope of the claims.

Claims

1. A positive pressure ventilation therapy system, characterized in that the positive pressure ventilation therapy system comprises: a ventilator monitoring module, a vital sign parameter detection module and an intelligent control module;

The ventilator monitoring module is used to monitor first respiratory index data of the target subject within a first preset time period and send the first respiratory index data to the intelligent control module; the first respiratory index data is the respiratory index data of the target subject when undergoing initial ventilation mode treatment of the positive pressure ventilation therapy system;

The vital sign parameter detection module is configured to monitor first vital sign indicator data of the target subject within a first preset time period and send the first vital sign indicator data to the intelligent control module; the first vital sign indicator data is the vital sign indicator data of the target subject when undergoing initial ventilation mode treatment of the positive pressure ventilation therapy system;

The intelligent control module is configured to receive the first respiratory index data and the first vital sign index data, and perform data analysis on the first respiratory index data and the first vital sign index data to obtain an analysis result; the analysis result is used to characterize the health condition of the target subject; the intelligent control module is further configured to determine, based on the analysis result, a target ventilation mode that matches the health condition of the target subject from a plurality of ventilation modes of the positive pressure ventilation therapy system, and switch the ventilation mode of the positive pressure ventilation therapy system from the initial ventilation mode to the target ventilation mode;

The multiple ventilation modes include a continuous positive airway pressure mode and an automatic continuous positive airway pressure mode, the analysis results include the sleep breathing status of the target subject during the first preset time period, and the average air leakage of a breathing mask of a positive pressure ventilation therapy system worn by the target subject during the first preset time period; the intelligent control module includes:

a first determining module configured to determine, when the initial ventilation mode is the continuous positive airway pressure mode, if the average leakage volume is less than a preset leakage volume, whether a proportion of central sleep events occurring in all sleep respiratory events of the target subject is less than a preset proportion based on the sleep respiratory status;

a second determination module, configured to determine, if the proportion of central sleep events occurring in the target subject is less than a preset proportion, whether the target subject satisfies a first mode switching condition based on the sleep breathing condition; the first mode switching condition being that the average apnea-hypopnea index of the target subject is greater than a first preset threshold, or the airway pressure of the target subject is greater than a first preset pressure value;

The first determining module is configured to use the automatic continuous positive airway pressure mode as the target ventilation mode if the target object meets the first mode switching condition.

2. The positive airway pressure therapy system according to claim 1, further comprising: a ventilator control module, a ventilator humidification module, and a ventilator pressure supply module;

The ventilator control module is configured to adjust the respiratory parameters of the positive airway pressure therapy system according to the health condition of the target subject;

The ventilator humidification module is used to adjust the humidity of the gas inhaled by the target subject;

The ventilator pressure supply module is used to adjust the pressure of the gas output by the positive pressure ventilation therapy system.

3. The positive airway pressure therapy system according to claim 1 is characterized in that the multiple ventilation modes also include: bi-level positive airway pressure ventilation mode, automatic bi-level positive airway pressure ventilation mode and adaptive servo ventilation mode; the bi-level positive airway pressure ventilation mode includes autonomous triggering and time standby frequency mode.

4. The positive airway pressure therapy system according to claim 3, wherein the intelligent control module further comprises:

a third judgment module, configured to judge, if the target subject does not meet the first mode switching condition, whether the target subject meets a second mode switching condition based on the sleep breathing condition; the second mode switching condition being that the average tidal volume of the target subject is less than a preset tidal volume threshold;

The second determining module is configured to use the automatic bi-level positive airway pressure mode as the target ventilation mode if the target object meets the second mode switching condition.

5. The positive airway pressure therapy system according to claim 4, wherein the intelligent control module further comprises:

a monitoring module, configured to monitor second respiratory index data and second vital sign index data of the target object within a second preset time period if the target object does not meet the second mode switching condition; the second preset time period and the first preset time period being two consecutive time periods, and the second preset time period being later than the first preset time period;

a first acquisition module, configured to acquire a treatment duration for the target subject in the first preset time period and a treatment duration for the target subject in the second preset time period, if it is determined, based on the second respiratory indicator data and the second vital sign indicator data, that the target subject does not satisfy the first mode switching condition and the target subject does not satisfy the second mode switching condition;

The third determining module is configured to use the automatic continuous positive airway pressure mode as the target ventilation mode if the treatment duration of the first preset time period and the treatment duration of the second preset time period are both shorter than the preset treatment durations.

6. The positive airway pressure therapy system according to claim 3, wherein the intelligent control module further comprises:

a fourth determination module, configured to determine, based on the sleep breathing condition of the target subject, whether a proportion of central sleep events occurring in the target subject is less than a preset proportion when the initial ventilation mode is the automatic continuous positive airway pressure mode and the average air leakage corresponding to the target subject is less than a preset air leakage;

a fourth determining module, configured to directly use the continuous positive airway pressure mode as the target ventilation mode if the proportion of central sleep events occurring in the target subject is greater than the preset proportion;

a fifth determination module, configured to determine, based on the sleep respiratory status, whether the target subject satisfies a third mode switching condition if the proportion of the central sleep events occurring in the target subject is less than the preset proportion; the third mode switching condition being that the respiratory rate corresponding to the target subject is less than a preset frequency;

A fifth determining module is configured to use the autonomous triggering and time-based standby mode as the target ventilation mode if the target subject satisfies the third mode switching condition.

7. The positive airway pressure therapy system according to claim 6, wherein the analysis result further includes the blood pressure fluctuation of the target subject during the first preset time period;

The intelligent control module also includes:

a sixth determination module, configured to determine, if the target subject does not meet the third mode switching condition, whether the target subject meets a fourth mode switching condition based on the sleep respiratory status; the fourth mode switching condition being that the pressure level of the target subject during treatment in the automatic continuous positive airway pressure mode is greater than or equal to a second preset pressure value, or that the average tidal volume corresponding to the target subject is less than a preset tidal volume threshold;

a sixth determining module, configured to use the automatic bi-level positive airway pressure mode as the target ventilation mode if the target subject satisfies the fourth mode switching condition;

a seventh determination module, configured to determine, if the subject does not meet the fourth mode switching condition, whether the subject meets a fifth mode switching condition based on the blood pressure fluctuation condition and the sleep breathing condition; the fifth mode switching condition being that the change in the subject's airway pressure is less than a preset value, the maximum airway pressure is less than the second preset pressure value, or the blood pressure fluctuation amplitude of the subject is not within a preset blood pressure fluctuation range;

A seventh determining module is configured to use the continuous positive airway pressure mode as the target ventilation mode if the target object satisfies the fifth mode switching condition.

8. The positive airway pressure therapy system according to claim 3, wherein the intelligent control module further comprises:

an eighth judgment module, configured to, when the initial ventilation mode is the automatic bi-level positive airway pressure mode, determine whether the target subject meets a sixth mode switching condition based on the target subject's sleep breathing condition and blood pressure fluctuation condition if the average leakage volume corresponding to the target subject is less than a preset leakage volume and the proportion of central sleep events occurring in the target subject is less than a preset proportion; the sixth mode switching condition being that the average tidal volume corresponding to the target subject is less than a preset tidal volume threshold, or the blood pressure fluctuation amplitude of the target subject is not within a preset blood pressure fluctuation range;

An eighth determining module is configured to use the autonomous triggering and time-based standby mode as the target ventilation mode if the target subject satisfies the sixth mode switching condition.

9. The positive airway pressure therapy system according to claim 3, wherein the intelligent control module further comprises:

a ninth determination module, configured to determine, based on the target subject's sleep breathing condition, whether the target subject satisfies a seventh mode switching condition when the initial ventilation mode is any one of the continuous positive airway pressure mode, the automatic continuous positive airway pressure mode, the automatic bilevel positive airway pressure mode, and the autonomous trigger and time-based standby mode, if the average air leakage corresponding to the target subject is less than a preset air leakage; the seventh mode switching condition being that a proportion of Cheyne-Stokes sleep events among all sleep respiratory events of the target subject is greater than a preset proportion;

A ninth determining module is configured to use the adaptive servo-ventilation mode as the target ventilation mode if the target object satisfies the seventh mode switching condition.

10. The positive airway pressure therapy system according to claim 1, further comprising:

A second acquisition module is configured to acquire respiratory index data of the target subject within a target period; the target period is a sub-period within the first preset period, and the target subject is in a normal sleep breathing state within the target period;

The parameter adjustment module is used to adjust the respiratory parameters of the positive pressure ventilation therapy system according to the respiratory index data within the target time period and the parameter adjustment strategy corresponding to the target ventilation mode.

11. The positive airway pressure therapy system according to claim 1, further comprising:

a mode prediction module, configured to input the first respiratory index data and the first vital sign index data into a ventilation mode prediction model, whereby the ventilation mode prediction model predicts a target ventilation mode that matches the health condition of the target subject based on the first respiratory index data and the first vital sign index data;

A mode switching module is used to switch the ventilation mode of the positive pressure ventilation therapy system from the initial ventilation mode to the target ventilation mode.

12. The positive airway pressure therapy system according to claim 1, further comprising:

A data transmission module is used to transmit the first respiratory index data and the first vital sign index data to a target application through a preset network transmission method; the target application is used to display the first respiratory index data and the first vital sign index data on a target interface through a preset data visualization method.