Equipment working mode switching method and positive pressure ventilation treatment system

Abstract

The invention discloses an equipment working mode switching method and a positive pressure ventilation treatment system. According to the scheme, first respiration index data and first vital sign index data of a target object in a first preset time period are monitored; the first respiration index data and the first vital sign index data are index data when the target object is treated through an initial ventilation mode of the positive pressure ventilation treatment system; performing data analysis on the first respiration index data and the first vital sign index data to obtain an analysis result; 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 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 automatically adjusted, and the problem that an existing positive pressure ventilation treatment system is not timely in response is solved.

Description

Technical Field

[0001] The present application relates to the technical field of medical equipment, and in particular to a method for switching equipment working modes and a positive pressure ventilation therapy system. Background Art

[0002] Sleep Disordered Breathing (SDB) is a group of clinical symptoms that affects the sleep quality of an individual through interrupted or abnormal breathing patterns during sleep. The occurrence of diseases related to sleep disordered breathing is relatively complex, usually caused by the combined effects of multiple factors, and is closely related to a variety of chronic diseases, making it difficult to comprehensively address the multiple factors that cause the disease, making the treatment of sleep disordered breathing more difficult.

[0003] The positive pressure ventilation therapy system is a medical device for SDB. The device provides multiple ventilation modes. When necessary, the ventilation mode of the positive pressure ventilation therapy system can be adjusted to meet the different needs of SDB patients. However, the existing positive pressure ventilation therapy system needs to be manually adjusted, resulting in the problem of untimely response of the positive pressure ventilation therapy system, which not only affects the compliance of SDB patients with the equipment, but also brings additional workload to medical staff.

[0004] Currently, there is an urgent need for an intelligent system that can automatically adjust the ventilation mode to solve the problem of untimely response of the positive pressure ventilation therapy system. Summary of the invention

[0005] Based on the above problems, the present application provides a method for switching the working mode of a device and a positive pressure ventilation therapy system, aiming to realize the mode switching of the positive pressure ventilation therapy system in an automated manner and solve the problem of untimely response of the existing positive pressure ventilation therapy system.

[0006] The embodiments of the present application disclose the following technical solutions:

[0007] In a first aspect of the present application, a method for switching a device working mode is provided, the method comprising:

[0008] Monitoring first respiratory index data and first vital sign index data of the target object within a first preset time period; the first respiratory index data and the first vital sign index data are both index data of the target object when it undergoes initial ventilation mode treatment of the positive pressure ventilation therapy system;

[0009] Performing data analysis on the first breathing index data and the first vital sign index data to obtain analysis results;

[0010] Determining a target ventilation mode that matches a health condition of a target subject from among a plurality of ventilation modes of a positive pressure ventilation therapy system based on the analysis result;

[0011] The ventilation mode of the positive pressure ventilation therapy system is switched from the initial ventilation mode to the target ventilation mode.

[0012] In an optional implementation, multiple ventilation modes include: continuous positive airway pressure mode, automatic continuous positive airway pressure mode, bi-level positive airway pressure mode, automatic bi-level positive airway pressure mode and adaptive servo ventilation mode; the bi-level positive airway pressure mode includes autonomous triggering and time backup mode.

[0013] In an optional implementation, the analysis result includes the sleep breathing condition of the target subject during a first preset period of time, 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 period of time;

[0014] When the initial ventilation mode is the continuous positive airway pressure mode, a target ventilation mode matching the health condition of the target subject is determined from multiple ventilation modes of the positive pressure ventilation therapy system based on the analysis result, including:

[0015] If the average leakage volume is less than the preset leakage volume, then based on the sleep breathing status, it is determined whether the proportion of central sleep events in all sleep breathing events of the target subject is less than the preset proportion;

[0016] If the proportion of central sleep events occurring in the target subject is less than a preset proportion, judging whether the target subject meets a first mode switching condition based on the sleep breathing condition; the first mode switching condition is 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;

[0017] If the target object meets the first mode switching condition, the automatic continuous positive airway pressure mode is used as the target ventilation mode.

[0018] In an optional implementation, the method for switching the device working mode further includes:

[0019] If the target object does not meet the first mode switching condition, judging whether the target object meets the second mode switching condition based on the sleep breathing condition; the second mode switching condition is that the average tidal volume of the target object is less than a preset tidal volume threshold;

[0020] If the target object meets the second mode switching condition, the automatic bi-level positive airway pressure mode is used as the target ventilation mode.

[0021] In an optional implementation, the method for switching the device working mode further includes:

[0022] If the target object does not meet the second mode switching condition, monitor the second breathing index data and the second vital sign index data of the target object within a second preset time period; the second preset time period and the first preset time period are two consecutive time periods, and the second preset time period is later than the first preset time period;

[0023] If it is determined based on the second breathing index data and the second vital sign index data that the target object does not meet the first mode switching condition, and the target object does not meet the second mode switching condition, then obtaining the treatment duration of the target object in the first preset time period and the second preset time period;

[0024] 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, the automatic continuous positive airway pressure mode is used as the target ventilation mode.

[0025] In an optional implementation, when the initial ventilation mode is the automatic continuous positive airway pressure mode, a target ventilation mode matching the health condition of the target subject is determined from multiple ventilation modes of the positive pressure ventilation therapy system based on the analysis result, including:

[0026] If the average air leakage volume corresponding to the target object is less than the preset air leakage volume, then judging whether the proportion of central sleep events occurring in the target object is less than the preset proportion based on the sleep breathing condition of the target object;

[0027] If the proportion of central sleep events in the target subject is greater than the preset proportion, the continuous positive airway pressure mode is directly used as the target ventilation mode;

[0028] If the proportion of central sleep events occurring in the target subject is less than a preset proportion, judging whether the target subject meets a third mode switching condition based on the sleep breathing condition; the third mode switching condition is that the breathing frequency corresponding to the target subject is less than a preset frequency;

[0029] If the target subject meets the third mode switching condition, the autonomous triggering and time-based frequency standby mode is used as the target ventilation mode.

[0030] In an optional implementation, the analysis result also includes the blood pressure fluctuation status of the target object within the first preset time period, and the method for switching the device working mode also includes:

[0031] If the target object does not meet the third mode switching condition, then based on the sleep breathing condition, determine whether the target object meets the fourth mode switching condition; the fourth mode switching condition is that the pressure level of the target object during the automatic continuous positive airway pressure mode treatment is greater than or equal to the second preset pressure value, or the average tidal volume corresponding to the target object is less than the preset tidal volume threshold;

[0032] If the target object meets the fourth mode switching condition, the automatic bi-level positive airway pressure mode is used as the target ventilation mode;

[0033] If the target subject does not meet the fourth mode switching condition, then based on the blood pressure fluctuation condition and the sleep breathing condition, it is determined whether the target subject meets the fifth mode switching condition; the fifth mode switching condition is that the airway pressure change of the target subject is less than a preset value, and the maximum airway pressure is less than a second preset pressure value, or the blood pressure fluctuation amplitude of the target subject is not within the preset blood pressure fluctuation range;

[0034] If the target object meets the fifth mode switching condition, the continuous positive airway pressure mode is used as the target ventilation mode.

[0035] In an optional implementation, when the initial ventilation mode is the automatic bi-level positive airway pressure ventilation mode, a target ventilation mode matching the health condition of the target subject is determined from multiple ventilation modes of the positive pressure ventilation therapy system based on the analysis result, including:

[0036] If the average leakage volume corresponding to the target object is less than the preset leakage volume, and the proportion of central sleep events occurring in the target object is less than the preset proportion, then based on the sleep breathing condition and blood pressure fluctuation condition of the target object, it is judged whether the target object meets the sixth mode switching condition; the sixth mode switching condition is that the average tidal volume corresponding to the target object is less than the preset tidal volume threshold, or the blood pressure fluctuation amplitude of the target object is not within the preset blood pressure fluctuation range;

[0037] If the target object meets the sixth mode switching condition, the autonomous triggering and time frequency standby mode is used as the target ventilation mode.

[0038] In an optional implementation, when the initial ventilation mode is any one of the continuous positive airway pressure mode, the automatic continuous positive airway pressure mode, the automatic bi-level positive airway pressure mode, and the autonomous trigger and time standby mode, a target ventilation mode matching the health status of the target subject is determined from multiple ventilation modes of the positive pressure ventilation therapy system based on the analysis result, including:

[0039] If the average leakage volume corresponding to the target object is less than the preset leakage volume, whether the target object meets the seventh mode switching condition is determined based on the sleep breathing condition of the target object; the seventh mode switching condition is that the proportion of Cheyne-Stokes breathing sleep events in all sleep breathing events of the target object is greater than the preset proportion;

[0040] If the target subject meets the seventh mode switching condition, the adaptive servo-ventilation mode is used as the target ventilation mode.

[0041] In an optional implementation, after the ventilation mode of the positive pressure ventilation therapy system is switched from the initial ventilation mode to the target ventilation mode, the method for switching the device working mode further includes:

[0042] Acquire breathing index data of the target object in a target period; the target period is a sub-period within the first preset period, and the target object is in a normal sleep breathing state in the target period;

[0043] The respiratory parameters of the positive pressure ventilation therapy system are adjusted according to the respiratory index data within the target time period and the parameter adjustment strategy corresponding to the target ventilation mode.

[0044] In an optional implementation, the method for switching the device working mode further includes:

[0045] Inputting the first breathing index data and the first vital sign index data into a ventilation mode prediction model, and the ventilation mode prediction model predicts a target ventilation mode that matches the health condition of the target object based on the first breathing index data and the first vital sign index data;

[0046] The ventilation mode of the positive pressure ventilation therapy system is switched from the initial ventilation mode to the target ventilation mode.

[0047] In an optional implementation, the method for switching the device working mode further includes:

[0048] The first breathing index data and the first vital sign index data are transmitted to the target application through a preset network transmission method; the target application is used to display the first breathing index data and the first vital sign index data on a target interface through a preset data visualization method.

[0049] In a second aspect of the present application, a positive pressure ventilation therapy system is provided, the positive pressure ventilation therapy system comprising: a ventilator monitoring module, a vital sign parameter detection module and an intelligent control module;

[0050] A ventilator monitoring module, used to monitor first respiratory index data of the target object 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 object when it is treated in an initial ventilation mode of the positive pressure ventilation therapy system;

[0051] A vital sign parameter detection module, used to monitor first vital sign indicator data of the target object 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 object when it undergoes initial ventilation mode treatment of the positive pressure ventilation therapy system;

[0052] The intelligent control module is used 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 analysis results; the analysis results are used to characterize the health status of the target object; the intelligent control module is also used to determine a target ventilation mode that matches the health status of the target object from multiple ventilation modes of the positive pressure ventilation therapy system based on the analysis results, and switch the ventilation mode of the positive pressure ventilation therapy system from an initial ventilation mode to a target ventilation mode.

[0053] Optionally, the positive pressure ventilation therapy system further includes: a ventilator control module, a ventilator humidification module and a ventilator pressure supply module;

[0054] a ventilator control module for adjusting the respiratory parameters of the positive pressure ventilation therapy system according to the health status of the target subject;

[0055] A ventilator humidification module, used to adjust the humidity of the gas inhaled by the target subject;

[0056] The ventilator supply pressure module is used to adjust the pressure of the output gas of the positive pressure ventilation therapy system.

[0057] Optionally, multiple ventilation modes include: continuous positive airway pressure mode, automatic continuous positive airway pressure mode, bi-level positive airway pressure mode, automatic bi-level positive airway pressure mode and adaptive servo ventilation mode; the bi-level positive airway pressure mode includes autonomous triggering and time backup mode.

[0058] Optionally, the analysis result includes the sleep breathing condition of the target subject during the first preset period of time, and the average air leakage of the breathing mask of the positive pressure ventilation therapy system worn by the target subject during the first preset period of time;

[0059] The intelligent control module includes:

[0060] The first judgment module is used to judge whether the proportion of central sleep events in all sleep breathing events of the target subject is less than a preset proportion based on the sleep breathing status when the initial ventilation mode is the continuous positive airway pressure ventilation mode and the average leakage volume is less than a preset leakage volume;

[0061] A second judgment module is used to judge whether the target object meets a first mode switching condition based on the sleep breathing condition if the proportion of central sleep events occurring in the target object is less than a preset proportion; the first mode switching condition is that the average apnea-hypopnea index of the target object is greater than a first preset threshold value, or the airway pressure of the target object is greater than a first preset pressure value;

[0062] The first determination module is used to set the automatic continuous positive airway pressure mode as the target ventilation mode if the target object meets the first mode switching condition.

[0063] Optionally, the intelligent control module further includes:

[0064] A third judgment module is used to judge whether the target object meets the second mode switching condition based on the sleep breathing condition if the target object does not meet the first mode switching condition; the second mode switching condition is that the average tidal volume of the target object is less than a preset tidal volume threshold;

[0065] The second determination 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.

[0066] Optionally, the intelligent control module further includes:

[0067] A monitoring module, for monitoring second breathing 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 are two consecutive time periods, and the second preset time period is later than the first preset time period;

[0068] A first acquisition module is used to acquire the treatment duration of the target object in the first preset time period and the second preset time period if 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 according to the second breathing index data and the second vital sign index data;

[0069] The third determination module is used 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 less than the preset treatment durations.

[0070] Optionally, the intelligent control module further includes:

[0071] a fourth judgment module, configured to judge whether the proportion of central sleep events occurring in the target subject is less than a preset proportion based on the sleep breathing condition of the target subject 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;

[0072] A fourth determination module is used 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;

[0073] a fifth judgment module, for judging whether the target object satisfies a third mode switching condition based on the sleep breathing condition if the proportion of central sleep events occurring in the target object is less than a preset proportion; the third mode switching condition is that the breathing frequency corresponding to the target object is less than a preset frequency;

[0074] The fifth determination module is configured to use the autonomous triggering and time-based standby mode as the target ventilation mode if the target object meets the third mode switching condition.

[0075] Optionally, the analysis result also includes the blood pressure fluctuation condition of the target subject within the first preset time period;

[0076] The intelligent control module also includes:

[0077] a sixth judgment module, configured to judge whether the target object satisfies a fourth mode switching condition based on the sleep breathing condition if the target object does not satisfy the third mode switching condition; the fourth mode switching condition is that the pressure level of the target object during the automatic continuous positive airway pressure mode treatment is greater than or equal to a second preset pressure value, or the average tidal volume corresponding to the target object is less than a preset tidal volume threshold;

[0078] a sixth determination module, configured to use the automatic bi-level positive airway pressure mode as the target ventilation mode if the target object satisfies the fourth mode switching condition;

[0079] a seventh judgment module, 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; the fifth mode switching condition is that the airway pressure change of the target object is less than a preset value, and the maximum airway pressure is less than a second preset pressure value, or the blood pressure fluctuation amplitude of the target object is not within a preset blood pressure fluctuation range;

[0080] The seventh determination module is used to set the continuous positive airway pressure mode as the target ventilation mode if the target object meets the fifth mode switching condition.

[0081] Optionally, the intelligent control module further includes:

[0082] an eighth judgment module, for judging whether the target object satisfies a sixth mode switching condition based on the sleep breathing condition and blood pressure fluctuation condition of the target object when the initial ventilation mode is the automatic bi-level positive airway pressure ventilation mode, if the average leakage volume corresponding to the target object is less than the preset leakage volume, and the proportion of central sleep events occurring in the target object is less than the preset proportion; the sixth mode switching condition is that the average tidal volume corresponding to the target object is less than the preset tidal volume threshold, or the blood pressure fluctuation amplitude of the target object is not within the preset blood pressure fluctuation range;

[0083] The eighth determination module is configured to use the autonomous triggering and time-based standby mode as the target ventilation mode if the target object satisfies the sixth mode switching condition.

[0084] Optionally, the intelligent control module further includes:

[0085] a ninth judgment module, for judging whether the target object satisfies the seventh mode switching condition based on the sleep breathing condition of the target object when the initial ventilation mode is any one of the continuous positive airway pressure mode, the automatic continuous positive airway pressure mode, the automatic bi-level positive airway pressure mode and the autonomous trigger and time standby mode, if the average leakage volume corresponding to the target object is less than the preset leakage volume; the seventh mode switching condition is that the proportion of Cheyne-Stokes breathing sleep events in all sleep breathing events of the target object is greater than the preset proportion;

[0086] The ninth determination 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.

[0087] Optionally, the positive airway pressure therapy system further comprises:

[0088] The second acquisition module is used to acquire the breathing index data of the target object in a target period; the target period is a sub-period within the first preset period, and the target object is in a normal sleep breathing state in the target period;

[0089] 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.

[0090] Optionally, the positive airway pressure therapy system further comprises:

[0091] A mode prediction module, used for inputting the first breathing index data and the first vital sign index data into a ventilation mode prediction model, and the ventilation mode prediction model predicts a target ventilation mode that matches the health condition of the target object based on the first breathing index data and the first vital sign index data;

[0092] The 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.

[0093] Optionally, the positive airway pressure therapy system further comprises:

[0094] The data transmission module is used to transmit the first breathing index data and the first vital sign index data to the target application through a preset network transmission method; the target application is used to display the first breathing index data and the first vital sign index data on the target interface through a preset data visualization method.

[0095] Compared with the prior art, this application has the following beneficial effects:

[0096] In the technical solution of the present application, firstly, the first respiratory index data and the first vital sign index data of the target object within the first preset time period are monitored, and the first respiratory index data and the first vital sign index data are both index data of the target object when it is treated with the initial ventilation mode of the positive pressure ventilation therapy system; secondly, data analysis is performed on the first respiratory index data and the first vital sign index data to obtain analysis results characterizing the health status of the target object; then, based on the analysis results, the target ventilation mode that matches the health status of the target object is accurately determined from the multiple ventilation modes of the positive pressure ventilation therapy system, and the ventilation mode of the positive pressure ventilation therapy system is automatically switched from the initial ventilation mode to the target ventilation mode. Through the technical solution of the present application, it is realized to adjust the ventilation mode of the positive pressure ventilation therapy system in an automated manner, without the need to adjust the ventilation mode of the positive pressure ventilation therapy system manually, thereby solving the problem of untimely response of the existing positive pressure ventilation therapy system. BRIEF DESCRIPTION OF THE DRAWINGS

[0097] In order to more clearly illustrate the embodiments of the present application or the technical solutions in the prior art, the drawings required for use in the embodiments or the description of the prior art will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present application. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying creative labor.

[0098] Figure 1 A flowchart of a method for switching a device working mode provided in an embodiment of the present application;

[0099] Figure 2 A schematic diagram of a switching mode between multiple ventilation modes provided in an embodiment of the present application;

[0100] Figure 3 A flowchart of a process for determining a target ventilation mode in CPAP mode provided in an embodiment of the present application;

[0101] Figure 4 A flowchart of another process of determining a target ventilation mode in CPAP mode provided in an embodiment of the present application;

[0102] Figure 5 A flowchart of a process for determining a target ventilation mode in Auto-CPAP mode provided in an embodiment of the present application;

[0103] Figure 6 A flowchart of a process for determining a target ventilation mode in Auto-BPAP mode provided in an embodiment of the present application;

[0104] Figure 7A flowchart of a process for determining a target ventilation mode provided in an embodiment of the present application;

[0105] Figure 8 A schematic structural diagram of a positive pressure ventilation therapy system provided in an embodiment of the present application. DETAILED DESCRIPTION

[0106] As described above, the current positive pressure ventilation therapy system requires manual adjustment of the ventilation mode of the positive pressure ventilation therapy system, resulting in the problem of untimely response of the positive pressure ventilation therapy system. This not only affects the compliance of SDB patients with the equipment, but also brings additional workload to medical staff.

[0107] After research, the inventor proposed a method for switching the working mode of the device, by monitoring the first breathing index data and the first vital sign index data of the target object within a first preset time period, the first breathing index data and the first vital sign index data are both index data of the target object when it is treated with the initial ventilation mode of the positive pressure ventilation therapy system; then, data analysis is performed on the first breathing index data and the first vital sign index data to obtain an analysis result characterizing the health status of the target object; then, based on the analysis result, a target ventilation mode matching the health status of the target object is accurately determined from multiple ventilation modes of the positive pressure ventilation therapy system, and the ventilation mode of the positive pressure ventilation therapy system is automatically switched from the initial ventilation mode to the target ventilation mode, thereby achieving automatic adjustment of the ventilation mode of the positive pressure ventilation therapy system, without the need to manually adjust the ventilation mode of the positive pressure ventilation therapy system, and avoiding the problem of untimely response of the positive pressure ventilation therapy system.

[0108] Keyword definitions:

[0109] Continuous Positive Airway Pressure (CPAP) mode: This mode is suitable for the treatment of obstructive sleep apnea (OSA), central sleep apnea / Cheyne-Stokes breathing (CSA-CSB), obstructive sleep apnea hypopnea syndrome (OSAHS), obesity hypopnea syndrome (OHS), central sleep apnea syndrome (CSAS), and some central sleep apnea syndromes. It is suitable for patients with moderate to severe OSA or OSA with obvious symptoms (daytime sleepiness, cognitive impairment and insomnia, etc.), or OSA patients with complications (e.g., hypertension, coronary heart disease, cerebrovascular disease and diabetes, etc.). It is not suitable for patients with NMD (full name: Neuromuscular Disease) and primary lung disease. In addition, the CPAP mode cannot automatically adjust the pressure level and tidal volume according to the needs of the patient, and is not suitable for patients with severe CO2 retention.

[0110] Automatic continuous positive airway pressure mode: referred to as APAP (Auto-Positive Airway Pressure) mode or Auto-CPAP (Automatic Continuous Positive Airway Pressure) mode. This mode is suitable for OSAHS patients without congestive heart failure (CHF), those who cannot tolerate CPAP mode, those without obvious lung disease, those without nocturnal oxygen desaturation caused by non-obstructive respiratory events, and those with moderate to severe OSA without CSAS. It is suitable for OSAHS patients whose apnea state is unstable due to body position, variations in different sleep stages, and OSA patients who are greatly affected by body position changes. However, it has certain risks in the treatment of central sleep apnea (CSA). It is not suitable for the treatment of OSAHS patients with cardiopulmonary diseases or nocturnal hypoxia unrelated to obstructive events.

[0111] Bilevel positive airway pressure mode: referred to as BPAP (Bilevel Positive Airway Pressure) mode, this mode is suitable for the treatment of OSA patients and patients with chronic alveolar hypoventilation (CAH) as indications. Such patients are often accompanied by CO2 retention, especially during sleep. BPAP mode can be tried for patients who have failed to be treated with CPAP mode. The working mode of BPAP mode is divided into with or without backup frequency (i.e. S / ST mode). Indications: No backup frequency (BPAP-S mode): Suitable for the treatment of OSAHS patients who are intolerant to CPAP mode treatment; OSAHS combined with CSA, neuromuscular disease, chest deformity, COPD combined with OSA (overlap syndrome) and OHS. With backup frequency (BPAP-ST mode, i.e., self-triggering and time backup frequency mode): Suitable for the treatment of CSA, CSAS after treatment, neuromuscular disease, chest deformity, severe OHS and sleep-related hypoventilation diseases.

[0112] Automatic bilevel positive airway pressure mode: referred to as Auto-BPAP (Automatic Bilevel Positive Airway Pressure) mode, this mode can be used for the initial treatment of moderate to severe OSA without obvious cardiopulmonary complications, as well as for the treatment of moderate to severe OSA patients with weight fluctuations, body position or R stage-related symptoms and those who cannot tolerate CPAP mode treatment.

[0113] Adaptive servo-ventilation mode: ASV (Adaptive Servo-Ventilation) mode, this mode is suitable for patients with CHF with left ventricular ejection fraction>45% and CSA-CSB, CSAS and opioid-induced CSA. The main advantage of ASV is stable ventilation.

[0114] Apnea-Hypopnea Index: AHI for short. AHI is an important indicator for assessing the severity of sleep apnea, which indicates the average number of apnea and hypopnea events per hour of sleep.

[0115] In order to enable those skilled in the art to better understand the solution of the present application, the technical solution in the embodiments of the present application will be clearly and completely described below in conjunction with the drawings in the embodiments of the present application. Obviously, the described embodiments are only part of the embodiments of the present application, not all of the embodiments. Based on the embodiments in the present application, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of this application.

[0116] Method Embodiment

[0117] An embodiment of the present application provides an embodiment of a method for switching the working mode of a device. It should be noted that the steps shown in the flowchart of the accompanying drawings can be executed in a computer system such as a set of computer executable instructions, and although a logical order is shown in the flowchart, in some cases, the steps shown or described can be executed in an order different from that shown here.

[0118] See also Figure 1 , which is a flow chart of a method for switching a device working mode provided in an embodiment of the present application, and the method is applied to a positive pressure ventilation therapy system, such as Figure 1 As shown, the method comprises the following steps:

[0119] Step S101 , monitoring first breathing index data and first vital sign index data of a target object within a first preset time period.

[0120] In step S101, the first respiratory index data and the first vital sign index data are both index data of the target object when it is treated in the initial ventilation mode of the positive pressure ventilation treatment system. Among them, the first respiratory index data includes but is not limited to the target object's airway pressure, tidal volume, respiratory rate, oxygen concentration and other index data, and the first vital sign index data includes but is not limited to the target object's sleep micro-awakening times (i.e., the number of short awakenings when the target object is in a sleeping state at night), blood oxygen saturation, blood pressure (when a non-spoon-shaped or reverse-spoon-shaped blood pressure characteristic trend graph appears, it indicates that the blood pressure regulation mechanism is abnormal and the respiratory parameters need to be adjusted in time; when the high pressure of the target object's blood pressure is lower than 90 and the low pressure is lower than 60, the ventilator alarm module of the positive pressure ventilation therapy system will issue an audible and visual alarm to remind relevant personnel to deal with it in time and stop providing ventilation support for the target object), carbon dioxide level (when the carbon dioxide level increases, it indicates that the target object is insufficiently ventilated or the respiratory center is suppressed, and respiratory support needs to be increased. When the target object's carbon dioxide level decreases, respiratory support needs to be reduced), respiratory variability (for example, AHI, tidal volume variation, respiratory rate variation, etc.), sleep cycle and other vital sign index data. Among them, the number of sleep micro-awakenings of the target object is related to its sleep state, especially closely related to AHI. For example, when the target subject's pressure is too high, sleep is fragmented, the treatment pressure is inappropriate, and there is a large amount of air leakage from the breathing mask, the target subject may experience sleep arousal events.

[0121] In this embodiment, the first preset time period is a pre-set time period. For example, the first preset time period may be a time period from 8:00 am of the previous day to 8:00 am of the next day.

[0122] In this embodiment, when the target subject is first treated with the positive pressure ventilation therapy system, the initial ventilation mode and breathing parameters can be determined by pressure titration.

[0123] Step S102: analyzing the first breathing index data and the first vital sign index data to obtain an analysis result.

[0124] In an embodiment of the present application, the positive airway pressure therapy system can perform data analysis on the first respiratory index data and the first vital sign index data, and the obtained analysis results may include the breathing mask of the positive airway pressure therapy system worn by the target object, the average leakage volume within the first preset time period, the sleep breathing status of the target object within the first preset time period: sleep breathing event status (such as central sleep events, Cheyne-Stokes respiratory sleep events, etc.), average apnea-hypopnea index, airway pressure, average tidal volume, respiratory rate, the pressure level of the target object during treatment in the automatic continuous positive airway pressure mode, as well as blood pressure fluctuation conditions (such as the amplitude of blood pressure fluctuations) and blood oxygen saturation.

[0125] Step S103, determining a target ventilation mode that matches the health condition of the target object from among the multiple ventilation modes of the positive pressure ventilation therapy system based on the analysis result.

[0126] In an embodiment of the present application, multiple ventilation modes include: continuous positive airway pressure mode (i.e., CPAP mode), automatic continuous positive airway pressure mode (i.e., Auto-CPAP mode), bi-level positive airway pressure mode (i.e., BPAP mode), automatic bi-level positive airway pressure mode (i.e., Auto-BPAP mode) and adaptive servo-ventilation mode (i.e., ASV mode); among which, the bi-level positive airway pressure mode includes autonomous triggering and time standby frequency mode (i.e., BPAP-ST mode).

[0127] Optionally, the switching mode between the multiple ventilation modes of the positive pressure ventilation therapy system can be as follows: Figure 2As shown, the ventilation mode of the positive pressure ventilation therapy system can be switched from any one of the CPAP mode, Auto-CPAP mode, BPAP-ST mode, and Auto-BPAP mode to the ASV mode, and the switching mode is a unidirectional mode, that is, the ventilation mode of the positive pressure ventilation therapy system cannot be switched from the ASV mode to any one of the CPAP mode, Auto-CPAP mode, BPAP-ST mode, and Auto-BPAP mode; the ventilation mode of the positive pressure ventilation therapy system can also be switched from the CPAP mode to the Auto-CPAP mode, and the switching mode is a bidirectional mode, that is, the ventilation mode of the positive pressure ventilation therapy system can also be switched from the Auto-CPAP mode to the CPAP mode; the ventilation mode of the positive pressure ventilation therapy system can also be switched from the Auto-CPAP mode to the Auto-BPAP mode, from the Auto-CPAP mode to the BPAP-ST mode, and from the Auto-BPAP mode to the BPAP-ST mode; wherein, the priority of switching from the Auto-CPAP mode to the Auto-BPAP mode is higher than the priority of switching from the Auto-CPAP mode to the BPAP-ST mode.

[0128] 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 of the target object is monitored to be less than 90%, the positive pressure ventilation therapy system can start the oxygen therapy mode and control the opening of the control valve of the oxygen pipeline between the positive pressure ventilation therapy system and the oxygen concentrator to achieve oxygen supplementation.

[0129] In order to adjust the ventilation mode of the positive pressure ventilation therapy system in an automated manner and solve the problem of untimely response of the positive pressure ventilation therapy system, in this embodiment, the positive pressure ventilation therapy system can accurately determine the target ventilation mode that matches the health status of the target subject from multiple ventilation modes based on the analysis results and the preset mode switching conditions. Figure 3 , Figure 3 A flowchart of a process for determining a target ventilation mode in CPAP mode provided in an embodiment of the present application, the process comprising the following steps:

[0130] Step S301, when the initial ventilation mode is the continuous positive airway pressure mode, if the average leakage volume is less than the preset leakage volume, then based on the sleep breathing status, it is determined whether the proportion of central sleep events in all sleep breathing events of the target object is less than the preset proportion.

[0131] In this embodiment, the average leakage is the average leakage of the breathing mask of the positive pressure ventilation therapy system worn by the target object within the first preset time period; the preset leakage is a preset leakage threshold (e.g., 30L per minute). If the average leakage is less than the preset leakage, it means that the leakage of the breathing mask of the positive pressure ventilation therapy system worn by the target object is within the normal range; if the average leakage is greater than or equal to the preset leakage, it means that the leakage of the breathing mask of the positive pressure ventilation therapy system worn by the target object is not within the normal range, affecting the treatment effect of the positive pressure ventilation therapy system. At this time, the alarm system of the positive pressure ventilation therapy system will emit an audible and visual alarm to prompt relevant personnel to deal with it in time. The sleep breathing status is the sleep breathing status of the target object within the first preset time period, wherein the sleep breathing status may include the condition of central sleep events in all sleep breathing events of the target object within the first preset time period.

[0132] Optionally, the preset ratio is a preset threshold value (e.g., 30%) of the ratio of central sleep events. Since the occurrence of central sleep events has a greater impact on the ventilation mode to which the positive airway pressure therapy system switches, by determining whether the ratio of central sleep events in all sleep breathing events of the target subject is less than the preset ratio, it can provide an important basis for accurately determining the target ventilation mode that matches the health status of the target subject.

[0133] It should be noted that by determining that the average leakage volume corresponding to the target object is less than the preset leakage volume, it is possible to determine whether there is an abnormality in the positive pressure ventilation therapy system (for example, abnormal pressure setting, abnormal pipeline connection, damage or aging of the breathing mask, etc.), thereby avoiding using the target ventilation mode determined when the positive pressure ventilation therapy system is in an abnormal state as the optimal ventilation mode, thereby accurately determining the optimal ventilation mode that matches the health status of the target object.

[0134] Step S302: if the proportion of central sleep events occurring in the target subject is less than a preset proportion, it is determined whether the target subject meets a first mode switching condition based on the sleep breathing status.

[0135] In step S302, the first mode switching condition is that the average apnea-hypopnea index of the target object is greater than a first preset threshold, or the airway pressure of the target object is greater than a first preset pressure value.

[0136] In this embodiment, if the proportion of central sleep events occurring in the target subject is less than a preset proportion (for example, less than 30%), the positive airway pressure therapy system can determine that the frequency of central sleep apnea occurring in the target subject is low. At this time, the positive airway pressure therapy system can determine the target ventilation mode that matches the health status of the target subject by judging whether the target subject meets the first mode switching condition (for example, average AHI>10 times, or airway pressure>13cmH2O).

[0137] Optionally, if the proportion of central sleep events occurring in the target subject is greater than a preset proportion, the continuous positive airway pressure (CPAP) mode continues to be used as the target ventilation mode that matches the health condition of the target subject.

[0138] Step S303: If the target object meets the first mode switching condition, the automatic continuous positive airway pressure mode is used as the target ventilation mode.

[0139] For example, if the average AHI of the target object in the first preset time period is 12 times, or the airway pressure of the target object in the first preset time period is 14 cmH2O, the positive pressure ventilation therapy system may determine that the target object meets the first mode switching condition: average AHI>10 times, or airway pressure>13 cmH2O, and use the Auto-CPAP mode as the target ventilation mode.

[0140] It should be noted that when the initial ventilation mode is the CPAP mode, the target ventilation mode that matches the health status of the target object is determined by the average leakage volume corresponding to the target object, the proportion of central sleep events, the average AHI and the airway pressure. When the initial ventilation mode is the CPAP mode, the optimal ventilation mode corresponding to the target object can be accurately determined, thereby providing an accurate data basis for adjusting the ventilation mode of the positive pressure ventilation therapy system in an automated manner.

[0141] Alternatively, see Figure 4 , Figure 4 A flowchart of another process of determining a target ventilation mode in CPAP mode provided in an embodiment of the present application, the process comprising the following steps:

[0142] 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 status.

[0143] 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 300 mL.

[0144] In this embodiment, the positive pressure ventilation therapy system can determine whether the target object meets the second mode switching condition based on the average tidal volume of the target object in the sleep breathing state in the first preset time period. For example, the average AHI of the target object in the first preset time period is 8 times, and the airway pressure of the target object in the first preset time period is 10cmH2O. The positive pressure ventilation therapy system can determine that the target object does not meet the first mode switching condition: average AHI>10 times, or airway pressure>13cmH2O. At this time, the positive pressure ventilation therapy system can determine whether the target object meets the second mode switching condition (for example, average tidal volume <300mL) through the sleep breathing state to determine the target ventilation mode that matches the health status of the target object.

[0145] Step S402: If the target object meets the second mode switching condition, the automatic bi-level positive airway pressure mode is used as the target ventilation mode.

[0146] For example, the average tidal volume of the target object in the first preset time period is 280 mL, and the positive airway pressure therapy system determines that the target object does not meet the second mode switching condition: the average tidal volume is less than 300 mL. At this time, the positive airway pressure therapy system can use the Auto-BPAP mode as the target ventilation mode.

[0147] Optionally, if the target object does not meet the second mode switching condition, the positive pressure ventilation therapy system may monitor the second respiratory index data and the second vital sign index data of the target object within a second preset time period; wherein, the second preset time period and the first preset time period are two consecutive time periods, and the second preset time period is later than the first preset time period; if the positive pressure ventilation therapy system determines that the target object does not meet the first mode switching condition based on 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 time of the target object in the first preset time period and the treatment time in the second preset time period can be obtained; if the treatment time in the first preset time period and the treatment time in the second preset time period are both less than the preset treatment time, the positive pressure ventilation therapy system may use the automatic continuous positive airway pressure mode as the target ventilation mode.

[0148] For example, the average tidal volume of the target subject in time period A: from 8:00am on December 4 to 8:00am on December 5 is 310mL, and the second mode switching condition is not met: the average tidal volume is less than 300mL. At this time, the positive pressure ventilation therapy system can monitor the second respiratory index data and the second vital sign index data of the target subject in time period B: from 8:00am on December 5 to 8:00am on December 6 in real time; if the average leakage volume of the target subject in time period B is less than the preset leakage volume, and the proportion of central sleep events is less than the preset proportion, the average AHI <10 times, airway pressure <13cmH2O, and average tidal volume >300mL, the positive pressure ventilation therapy system can determine that the target object does not meet the first mode switching condition, and the target object does not meet the second mode switching condition, and obtain the treatment time of the target object in the above-mentioned period A (for example, 3h) and the treatment time of period B (for example, 3.5h); then, the positive pressure ventilation therapy system can determine that in the CPAP mode, the treatment time of the target object in two consecutive time periods is less than the preset treatment time of 4h, and the Auto-CPAP mode is used as the target ventilation mode.

[0149] It should be noted that 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 that matches the health status of the target object is determined by the treatment duration in two consecutive time periods, and the optimal ventilation mode that matches the health status of the target object can be determined in time, thereby avoiding the problem of untimely response of the positive pressure ventilation therapy system.

[0150] Alternatively, see Figure 5 , Figure 5 A flowchart of a process for determining a target ventilation mode in Auto-CPAP mode is provided in an embodiment of the present application, and the process includes the following steps:

[0151] Step S501, when the initial ventilation mode is the automatic continuous positive airway pressure mode, if the average leakage volume corresponding to the target object is less than the preset leakage volume, then based on the sleep breathing status of the target object, it is determined whether the proportion of central sleep events occurring in the target object is less than the preset proportion.

[0152] In this embodiment, the average leakage volume is the average leakage volume of the breathing mask of the positive pressure ventilation therapy system worn by the target object in the first preset time period; the sleep breathing condition is the sleep breathing condition of the target object in the first preset time period.

[0153] Step S502: If the proportion of central sleep events occurring in the target subject is greater than a preset proportion, the continuous positive airway pressure mode is directly used as the target ventilation mode.

[0154] In this embodiment, if the proportion of central sleep events occurring in the target subject is greater than a preset proportion (for example, greater than 30%), the positive airway pressure therapy system may determine that the target subject has a high frequency of central sleep apnea. At this time, the positive airway pressure therapy system may directly use the CPAP mode as the optimal ventilation mode (i.e., the target ventilation mode) that matches the health status of the target subject.

[0155] Step S503: if the proportion of central sleep events occurring in the target subject is less than a preset proportion, it is determined whether the target subject meets a third mode switching condition based on the sleep breathing status.

[0156] In step S503, the third mode switching condition is that the breathing frequency corresponding to the target object is less than a preset frequency. For example, the preset frequency can be set to 8 times.

[0157] In this embodiment, when the proportion of central sleep events occurring in the target subject is less than a preset proportion, the positive airway pressure therapy system may determine whether the target subject meets the third mode switching condition based on the respiratory frequency of the target subject in the sleep breathing state in the first preset period of time. The respiratory frequency is the median of all respiratory frequencies of the target subject in the first preset period of time.

[0158] Step S504: if the target subject meets the third mode switching condition, the autonomous triggering and time frequency standby mode is used as the target ventilation mode.

[0159] In this embodiment, when the target subject meets the third mode switching condition (eg, respiratory rate>8), the positive airway pressure therapy system may use the BPAP-ST mode as the best ventilation mode that matches the health condition of the target subject.

[0160] Optionally, if the target subject does not meet the third mode switching condition, the positive pressure ventilation therapy system may determine a target ventilation mode that matches the health condition of the target subject through the following steps:

[0161] Step 11: If the target object does not meet the third mode switching condition, determine whether the target object meets the fourth mode switching condition based on the sleep breathing status.

[0162] In step 11, the fourth mode switching condition is that the pressure level (i.e., P95) of the target subject during the treatment in the automatic continuous positive airway pressure mode 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 value. For example, P95 ≥ 15 cmH2O, or the average tidal volume < 300 mL.

[0163] Step 12: If the target object meets the fourth mode switching condition, the automatic bi-level positive airway pressure mode is used as the target ventilation mode.

[0164] In this embodiment, when the pressure level of the target object during treatment with automatic continuous positive airway pressure mode is greater than 15 cmH2O, or the average tidal volume is less than 300 mL within the first preset time period, the positive airway pressure therapy system can directly use the Auto-BPAP mode as the optimal ventilation mode that matches the health condition of the target object.

[0165] Step 13: If the target object does not meet the fourth mode switching condition, determine whether the target object meets the fifth mode switching condition based on the blood pressure fluctuation condition and the sleep breathing condition.

[0166] In step 13, the fifth mode switching condition is that the airway pressure change of the target object is less than a preset value (for example, the airway pressure change is less than 2cmH2O), and the maximum airway pressure is less than a second preset pressure value (for example, the maximum airway pressure is less than 15cmH2O), or the blood pressure fluctuation amplitude of the target object is not within the preset blood pressure fluctuation range.

[0167] In this embodiment, the positive airway pressure therapy system may determine a target ventilation mode that matches the health condition of the target subject based on the airway pressure and blood pressure fluctuation conditions in the sleep breathing condition of the target subject within a first preset time period.

[0168] Step 14: If the target object meets the fifth mode switching condition, the continuous positive airway pressure mode is used as the target ventilation mode.

[0169] In this embodiment, if the target object's airway pressure change within the first preset time period is less than 2 cmH2O, and the airway pressure change is less than 2 cmH2O, or the target object's blood pressure fluctuation amplitude is not within the preset blood pressure fluctuation range, the positive pressure ventilation therapy system may use the CPAP mode as the optimal ventilation mode that matches the target object's health condition.

[0170] It should be noted that the above steps 11 to 14 are not shown in the figure.

[0171] Alternatively, see Figure 6 , Figure 6 A flowchart of a process for determining a target ventilation mode in Auto-BPAP mode is provided in an embodiment of the present application, and the process includes the following steps:

[0172] Step S601, when the initial ventilation mode is the automatic bi-level positive airway pressure ventilation mode, if the average leakage volume corresponding to the target object is less than the preset leakage volume, and the proportion of central sleep events in the target object is less than the preset proportion, then based on the target object's sleep breathing condition and blood pressure fluctuation condition, it is determined whether the target object meets the sixth mode switching condition.

[0173] In step S601, the sixth mode switching condition is that the average tidal volume corresponding to the target object is less than a preset tidal volume threshold, or the blood pressure fluctuation amplitude of the target object is not within a preset blood pressure fluctuation range.

[0174] In this embodiment, the average leakage volume is the average leakage volume of the breathing mask of the positive pressure ventilation therapy system worn by the target object in the first preset time period; the sleep breathing condition is the sleep breathing condition of the target object in the first preset time period.

[0175] In order to accurately determine the optimal ventilation mode that matches the health status of the target object, in the present embodiment, when the initial ventilation mode is the Auto-BPAP mode, the positive pressure ventilation therapy system may first determine whether there is any abnormality in the positive pressure ventilation therapy system (for example, abnormal pressure setting, abnormal pipeline connection, damage or aging of the breathing mask, etc.) by determining that the average leakage volume corresponding to the target object is less than the preset leakage volume, and when there is no abnormality in the positive pressure ventilation therapy system and the proportion of central sleep events in the target object is less than 30%, the optimal ventilation mode that matches the health status of the target object is judged based on the average tidal volume and blood pressure fluctuation amplitude of the target object within the first preset time period.

[0176] Step S602: If the target object meets the sixth mode switching condition, the autonomous triggering and time frequency standby mode is used as the target ventilation mode.

[0177] In this embodiment, when the positive pressure ventilation therapy system determines that the average tidal volume of the target object is less than 300 mL, or the blood pressure fluctuation amplitude of the target object is not within the preset blood pressure fluctuation range, the BPAP-ST mode can be directly used as the optimal ventilation mode matching the health status of the target object.

[0178] Alternatively, see Figure 7 , Figure 7 A flowchart of a process for determining a target ventilation mode provided in an embodiment of the present application, the process comprising the following steps:

[0179] Step S701, when the initial ventilation mode is any one of the continuous positive airway pressure mode, automatic continuous positive airway pressure mode, automatic bi-level positive airway pressure mode and autonomous trigger and time backup mode, if the average leakage volume corresponding to the target object is less than the preset leakage volume, then based on the sleep breathing status of the target object, it is determined whether the target object meets the seventh mode switching condition.

[0180] In this embodiment, the average leakage volume is the average leakage volume of the breathing mask of the positive pressure ventilation therapy system worn by the target object within the first preset time period; the sleep breathing condition is the sleep breathing condition of the target object within the first preset time period, wherein the sleep breathing condition may include the condition of Cheyne-Stokes respiratory sleep events occurring in all sleep breathing events of the target object within the first preset time period.

[0181] In step S701 , the seventh mode switching condition is that the proportion of Cheyne-Stokes sleep events among all sleep respiratory events of the target subject is greater than a preset proportion, for example, the proportion of Cheyne-Stokes sleep events is greater than 30%.

[0182] Step S702: If the target object meets the seventh mode switching condition, the adaptive servo-ventilation mode is used as the target ventilation mode.

[0183] In this embodiment, since the characteristic of Cheyne-Stokes sleep apnea events is that breathing gradually increases to a peak and then gradually weakens until it stops briefly and then starts again, forming a periodic change, when the initial ventilation mode is any one of the CPAP mode, Auto-CPAP mode, Auto-BPAP mode and BPAP-ST mode, the positive pressure ventilation therapy system can directly use the ASV mode as the optimal ventilation mode that matches the health status of the target subject.

[0184] Step S104, switching the ventilation mode of the positive pressure ventilation therapy system from the initial ventilation mode to the target ventilation mode.

[0185] In this embodiment, after determining the 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, when the initial ventilation mode is the CPAP mode and the target ventilation mode is the Auto-BPAP mode, the positive airway pressure therapy system may automatically switch the ventilation mode from the CPAP mode to the Auto-BPAP mode.

[0186] In order to enhance the treatment effect and thus improve the user experience, in the present embodiment, after the ventilation mode of the positive pressure ventilation therapy system is switched from the initial ventilation mode to the target ventilation mode, the positive pressure ventilation therapy system can obtain the breathing index data of the target object within the target time period; wherein, the target time period is a sub-time period within the first preset time period, and the target object is in a normal sleep breathing state within the target time period; then the positive pressure ventilation therapy system can adjust the breathing parameters of the positive pressure ventilation therapy system according to the breathing index data within the target time period and the parameter adjustment strategy corresponding to the target ventilation mode.

[0187] In this embodiment, the normal sleep breathing state is used to characterize that the breathing frequency, breathing depth, and breathing pattern of the target object when in a sleeping state are all within a healthy range. The parameter adjustment strategy is used to ensure the effectiveness of positive pressure ventilation therapy and the comfort of the user. Different ventilation modes correspond to different parameter adjustment strategies. For example, the parameter adjustment strategy of the CPAP mode is fixed pressure adjustment, and usually there is only one fixed EPAP setting to maintain airway patency throughout the breathing cycle; the parameter adjustment strategy of the BPAP mode is dual pressure adjustment, including IPAP (inspiratory positive pressure): higher pressure helps patients inhale air more easily, and EPAP (expiratory positive pressure): lower pressure makes exhalation easier.

[0188] Optionally, when the ventilation mode of the positive airway pressure therapy system is switched from the CPAP mode to the Auto-CPAP mode, the positive airway pressure therapy system may adjust the respiratory parameters of the positive airway pressure therapy system based on the respiratory index data of the target subject when the target subject is in a normal sleep breathing state (e.g., the treatment pressure value during the pressure titration of the CPAP mode) and the parameter adjustment strategy corresponding to the CPAP mode. After the target subject has been treated in the CPAP mode of the positive airway pressure therapy system for a preset period of time (e.g., one day), the positive airway pressure therapy system may automatically adjust the respiratory parameters according to the health status of the target subject, for example, the minimum treatment pressure may be set to P95-2, and the maximum treatment pressure may be set to P95+4.

[0189] Optionally, when the ventilation mode of the positive pressure ventilation therapy system is switched from CPAP mode to Auto-BPAP mode, the positive pressure ventilation therapy system can adjust the respiratory parameters to: minimum expiratory pressure P95-4, maximum inspiratory pressure P95+PS, PS is pressure support, PS value is 2-5, maximum inspiratory pressure P95+PS≤25, and PS value is initially set to 3 based on respiratory index data (such as treatment pressure value and tidal volume) and parameter adjustment strategy corresponding to the Auto-BPAP mode; when the tidal volume of the target object is between [300,500], there is no need to adjust the respiratory parameters; if the tidal volume of the target object is greater than 500, the PS is gradually reduced, and if the tidal volume is still less than 300 at this time, the PS value is gradually increased; if the tidal volume is still less than 300 after the PS value is adjusted, the PS value continues to increase until the tidal volume is between [300,500].

[0190] 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 parameters to: the treatment pressure is P95 or P90 based on the respiratory index data (such as the treatment pressure value) and the parameter adjustment strategy corresponding to the CPAP mode.

[0191] Optionally, when the ventilation mode of the positive pressure ventilation therapy system is switched from Auto-CPAP mode to Auto-BPAP mode or BPAP-ST mode, the positive pressure ventilation therapy system can adjust the respiratory parameters to: minimum expiratory pressure P95-4, maximum inspiratory pressure P95+PS based on respiratory index data (such as treatment pressure value and tidal volume) and the parameter adjustment strategy corresponding to the Auto-BPAP mode, where PS is pressure support, PS is between [2,5], maximum inspiratory pressure P95+PS≤25, and the PS value is initially set to 3; if the tidal volume is between [300,500], there is no need to adjust the respiratory parameters; if the tidal volume is greater than 500, reduce PS; if the tidal volume is less than 300, gradually increase the PS value until the tidal volume is between [300,500].

[0192] Optionally, when the ventilation mode of the positive pressure ventilation therapy system is switched from the Auto-BPAP mode to the BPAP-ST mode, the positive pressure ventilation therapy system can adjust the respiratory parameters to: minimum expiratory pressure P95-4, maximum inspiratory pressure P95+PS based on the respiratory index data (such as treatment pressure value and tidal volume) and the parameter adjustment strategy corresponding to the Auto-BPAP mode, where PS is pressure support, PS is between [2,5], maximum inspiratory pressure P95+PS≤25, and the PS value is initially set to 3; if the tidal volume is between [300,500], there is no need to adjust the respiratory parameters; if the tidal volume is greater than 500, reduce PS; if the tidal volume is less than 300, gradually increase the PS value until the tidal volume is between [300,500].

[0193] Optionally, when the ventilation mode of the positive airway pressure therapy system is switched from any one of the CPAP mode, Auto-CPAP mode, BPAP-ST mode, and Auto-BPAP mode to the ASV mode, the positive airway pressure therapy system can adjust the respiratory parameters to: the maximum inspiratory pressure value is 30 cmH2O, and the minimum expiratory pressure value is 4 cmH2O based on the respiratory index data (such as treatment pressure value and tidal volume) and the parameter adjustment strategy corresponding to the Auto-BPAP mode, and automatically adjust the inspiratory pressure and expiratory pressure to keep them consistent with the tidal volume value of normal breathing.

[0194] In order to further improve the response rate of the positive airway pressure therapy system, in the present embodiment, the positive airway pressure therapy system may input the first respiratory index data and the first vital sign index data into the ventilation mode prediction model, and the ventilation mode prediction model predicts a target ventilation mode that matches the health status of the target object based on the first respiratory index data and the first vital sign index data; and then switch the ventilation mode of the positive airway pressure therapy system from the initial ventilation mode to the target ventilation mode.

[0195] In this embodiment, the ventilation mode prediction model may be a pre-trained machine learning model. The ventilation mode prediction model can accurately predict the target ventilation mode that matches the health status of the target object based on the first respiratory index data and the first vital sign index data, so that the positive pressure ventilation therapy system can promptly switch the ventilation mode from the initial ventilation mode to the target ventilation mode, thereby improving the response rate of the positive pressure ventilation therapy system.

[0196] In order to avoid the problem of heavy workload for personnel and high error rate of recorded indicator data caused by manual recording of indicator data, in the present embodiment, the positive pressure ventilation therapy system can transmit the first respiratory indicator data and the first vital sign indicator data to the target application through a preset network transmission method; wherein the target application is used to display the first respiratory indicator data and the first vital sign indicator data on the target interface through a preset data visualization method.

[0197] In this embodiment, the preset network transmission method includes but is not limited to Bluetooth transmission, Wi-Fi transmission, mobile communication (4G / 5G) transmission, etc. The positive pressure ventilation therapy system can transmit the first respiratory index data and the first vital sign index data to the target application through Bluetooth transmission and other methods, so as to display the first respiratory index data and the first vital sign index data on the target interface, so that relevant personnel can view the relevant index data of the target object in real time.

[0198] Through the method for switching the working mode of the device provided in the embodiment of the present application, it is possible to accurately determine the target ventilation mode that matches the health status of the target object from the multiple ventilation modes of the positive pressure ventilation therapy system, and automatically switch the ventilation mode of the positive pressure ventilation therapy system from the initial ventilation mode to the target ventilation mode, thereby achieving the ventilation mode of the positive pressure ventilation therapy system to be adjusted in an automated manner without the need to manually adjust the ventilation mode of the positive pressure ventilation therapy system, thereby solving the problem of untimely response in the existing positive pressure ventilation therapy system. Through the method for switching the working mode of the device provided in the embodiment of the present application, it is possible to timely adjust the ventilation mode and respiratory parameters according to the needs of different objects, thereby reducing the adverse reactions of the positive pressure ventilation therapy system during the treatment process, enhancing the safety and effectiveness of the positive pressure ventilation therapy system treatment, and significantly improving the object's experience.

[0199] System Example

[0200] The present application embodiment provides a positive pressure ventilation therapy system, wherein: Figure 8 A schematic diagram of a positive pressure ventilation therapy system provided in an embodiment of the present application is shown in FIG. Figure 8 As shown, the system includes: a ventilator monitoring module 11, a vital sign parameter detection module 12 and an intelligent control module 13. Figure 8You can see the connection relationship between several modules.

[0201] The ventilator monitoring module 11 is used to monitor the first respiratory index data of the target object 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 object when it is treated in the initial ventilation mode of the positive pressure ventilation therapy system;

[0202] The vital sign parameter detection module 12 is used to monitor the first vital sign indicator data of the target object 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 object when it is treated in the initial ventilation mode of the positive pressure ventilation treatment system;

[0203] The intelligent control module 13 is used 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 analysis results; the analysis results are used to characterize the health status of the target object; the intelligent control module is also used to determine a target ventilation mode that matches the health status of the target object from multiple ventilation modes of the positive pressure ventilation therapy system based on the analysis results, and switch the ventilation mode of the positive pressure ventilation therapy system from the initial ventilation mode to the target ventilation mode.

[0204] In the technical solution of the present application, the first respiratory index data of the target object when undergoing the initial ventilation mode treatment of the positive pressure ventilation therapy system is monitored in real time through the ventilator monitoring module, the first vital sign index data of the target object when undergoing the initial ventilation mode treatment of the positive pressure ventilation therapy system is monitored in real time through the vital sign parameter detection module, and the first respiratory index data and the first vital sign index data are analyzed by the intelligent control module, so as to obtain the analysis result characterizing the health status of the target object, and then the intelligent control module accurately determines the target ventilation mode matching the health status of the target object from the multiple ventilation modes of the positive pressure ventilation therapy system based on the analysis result, and automatically switches the ventilation mode of the positive pressure ventilation therapy system from the initial ventilation mode to the target ventilation mode, thereby realizing the adjustment of the ventilation mode of the positive pressure ventilation therapy system in an automated manner, without the need to manually adjust the ventilation mode of the positive pressure ventilation therapy system, and solving the problem of untimely response of the existing positive pressure ventilation therapy system.

[0205] Optionally, the positive pressure ventilation therapy system further includes: a ventilator control module, a ventilator humidification module and a ventilator pressure supply module;

[0206] a ventilator control module for adjusting the respiratory parameters of the positive pressure ventilation therapy system according to the health status of the target subject;

[0207] A ventilator humidification module, used to adjust the humidity of the gas inhaled by the target subject;

[0208] The ventilator supply pressure module is used to adjust the pressure of the output gas of the positive pressure ventilation therapy system.

[0209] Optionally, the positive pressure ventilation therapy system further includes: a ventilator alarm module, which is used to issue an audible and visual alarm when the positive pressure ventilation therapy system fails or the breathing parameters of the target object exceed a preset range, so as to remind relevant personnel to handle it in time. The alarm content includes but is not limited to airway pressure exceeding a preset range, oxygen concentration exceeding a preset range, and power failure.

[0210] Optionally, multiple ventilation modes include: continuous positive airway pressure mode, automatic continuous positive airway pressure mode, bi-level positive airway pressure mode, automatic bi-level positive airway pressure mode and adaptive servo ventilation mode; the bi-level positive airway pressure mode includes autonomous triggering and time backup mode.

[0211] Optionally, the analysis result includes the sleep breathing condition of the target subject during the first preset period of time, and the average air leakage of the breathing mask of the positive pressure ventilation therapy system worn by the target subject during the first preset period of time;

[0212] The intelligent control module includes:

[0213] The first judgment module is used to judge whether the proportion of central sleep events in all sleep breathing events of the target subject is less than a preset proportion based on the sleep breathing status when the initial ventilation mode is the continuous positive airway pressure ventilation mode and the average leakage volume is less than a preset leakage volume;

[0214] A second judgment module is used to judge whether the target object meets a first mode switching condition based on the sleep breathing condition if the proportion of central sleep events occurring in the target object is less than a preset proportion; the first mode switching condition is that the average apnea-hypopnea index of the target object is greater than a first preset threshold value, or the airway pressure of the target object is greater than a first preset pressure value;

[0215] The first determination module is used to set the automatic continuous positive airway pressure mode as the target ventilation mode if the target object meets the first mode switching condition.

[0216] Optionally, the intelligent control module further includes:

[0217] A third judgment module is used to judge whether the target object meets the second mode switching condition based on the sleep breathing condition if the target object does not meet the first mode switching condition; the second mode switching condition is that the average tidal volume of the target object is less than a preset tidal volume threshold;

[0218] The second determination 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.

[0219] Optionally, the intelligent control module further includes:

[0220] A monitoring module, for monitoring second breathing 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 are two consecutive time periods, and the second preset time period is later than the first preset time period;

[0221] A first acquisition module is used to acquire the treatment duration of the target object in the first preset time period and the second preset time period if 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 according to the second breathing index data and the second vital sign index data;

[0222] The third determination module is used 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 less than the preset treatment durations.

[0223] Optionally, the intelligent control module further includes:

[0224] a fourth judgment module, configured to judge whether the proportion of central sleep events occurring in the target subject is less than a preset proportion based on the sleep breathing condition of the target subject 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;

[0225] A fourth determination module is used 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;

[0226] a fifth judgment module, for judging whether the target object satisfies a third mode switching condition based on the sleep breathing condition if the proportion of central sleep events occurring in the target object is less than a preset proportion; the third mode switching condition is that the breathing frequency corresponding to the target object is less than a preset frequency;

[0227] The fifth determination module is configured to use the autonomous triggering and time-based standby mode as the target ventilation mode if the target object meets the third mode switching condition.

[0228] Optionally, the analysis result also includes the blood pressure fluctuation condition of the target subject within the first preset time period;

[0229] The intelligent control module also includes:

[0230] a sixth judgment module, configured to judge whether the target object satisfies a fourth mode switching condition based on the sleep breathing condition if the target object does not satisfy the third mode switching condition; the fourth mode switching condition is that the pressure level of the target object during the automatic continuous positive airway pressure mode treatment is greater than or equal to a second preset pressure value, or the average tidal volume corresponding to the target object is less than a preset tidal volume threshold;

[0231] a sixth determination module, configured to use the automatic bi-level positive airway pressure mode as the target ventilation mode if the target object satisfies the fourth mode switching condition;

[0232] a seventh judgment module, 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; the fifth mode switching condition is that the airway pressure change of the target object is less than a preset value, and the maximum airway pressure is less than a second preset pressure value, or the blood pressure fluctuation amplitude of the target object is not within a preset blood pressure fluctuation range;

[0233] The seventh determination module is used to set the continuous positive airway pressure mode as the target ventilation mode if the target object meets the fifth mode switching condition.

[0234] Optionally, the intelligent control module further includes:

[0235] an eighth judgment module, for judging whether the target object satisfies a sixth mode switching condition based on the sleep breathing condition and blood pressure fluctuation condition of the target object when the initial ventilation mode is the automatic bi-level positive airway pressure ventilation mode, if the average leakage volume corresponding to the target object is less than the preset leakage volume, and the proportion of central sleep events occurring in the target object is less than the preset proportion; the sixth mode switching condition is that the average tidal volume corresponding to the target object is less than the preset tidal volume threshold, or the blood pressure fluctuation amplitude of the target object is not within the preset blood pressure fluctuation range;

[0236] The eighth determination module is configured to use the autonomous triggering and time-based standby mode as the target ventilation mode if the target object satisfies the sixth mode switching condition.

[0237] Optionally, the intelligent control module further includes:

[0238] a ninth judgment module, for judging whether the target object satisfies the seventh mode switching condition based on the sleep breathing condition of the target object when the initial ventilation mode is any one of the continuous positive airway pressure mode, the automatic continuous positive airway pressure mode, the automatic bi-level positive airway pressure mode and the autonomous trigger and time standby mode, if the average leakage volume corresponding to the target object is less than the preset leakage volume; the seventh mode switching condition is that the proportion of Cheyne-Stokes breathing sleep events in all sleep breathing events of the target object is greater than the preset proportion;

[0239] The ninth determination 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.

[0240] Optionally, the positive airway pressure therapy system further comprises:

[0241] The second acquisition module is used to acquire the breathing index data of the target object in a target period; the target period is a sub-period within the first preset period, and the target object is in a normal sleep breathing state in the target period;

[0242] 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.

[0243] Optionally, the positive airway pressure therapy system further comprises:

[0244] A mode prediction module, used for inputting the first breathing index data and the first vital sign index data into a ventilation mode prediction model, and the ventilation mode prediction model predicts a target ventilation mode that matches the health condition of the target object based on the first breathing index data and the first vital sign index data;

[0245] The 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.

[0246] Optionally, the positive airway pressure therapy system further comprises:

[0247] The data transmission module is used to transmit the first breathing index data and the first vital sign index data to the target application through a preset network transmission method; the target application is used to display the first breathing index data and the first vital sign index data on the target interface through a preset data visualization method.

[0248] It should be noted that each embodiment in this specification is described in a progressive manner, and the same or similar parts between the embodiments can be referred to each other, and each embodiment focuses on the differences from other embodiments. In particular, for the system embodiment, since it is basically similar to the method embodiment, the description is relatively simple, and the relevant parts can be referred to the partial description of the method embodiment. The system embodiment described above is merely schematic, in which the units described as separate components may or may not be physically separated, and the components indicated as units may or may not be physical units, that is, they may be located in one place, or they may be distributed on multiple network units. Some or all of the modules may be selected according to actual needs to achieve the purpose of the scheme of this embodiment. Ordinary technicians in this field can understand and implement it without paying creative labor.

[0249] The above is only a specific implementation of the present application, but the protection scope of the present application is not limited thereto. Any changes or substitutions that can be easily thought of by a person skilled in the art within the technical scope disclosed in the present application should be included in the protection scope of the present application. Therefore, the protection scope of the present application should be based on the protection scope of the claims.

Claims

1. A method for switching a device working mode, characterized in that: Applied to a positive pressure ventilation therapy system, the method comprises: Monitoring first breathing index data and first vital sign index data of a target object within a first preset time period; the first breathing index data and the first vital sign index data are both index data of the target object when it undergoes initial ventilation mode treatment of the positive pressure ventilation therapy system; Performing data analysis on the first breathing index data and the first vital sign index data to obtain analysis results; Determining 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 based on the analysis result; The ventilation mode of the positive airway pressure therapy system is switched from the initial ventilation mode to the target ventilation mode.

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

3. The method according to claim 2, characterized in that The analysis result includes the sleep breathing status of the target subject during the first preset period of time, and the average air leakage of the breathing mask of the positive pressure ventilation therapy system worn by the target subject during the first preset period of time; When the initial ventilation mode is the continuous positive airway pressure mode, determining 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 based on the analysis result includes: If the average leakage volume is less than the preset leakage volume, judging whether the proportion of central sleep events in all sleep breathing events of the target subject is less than a preset proportion based on the sleep breathing status; If the proportion of the central sleep events occurring in the target subject is less than the preset proportion, judging whether the target subject meets a first mode switching condition based on the sleep breathing condition; the first mode switching condition is 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; If the target object meets the first mode switching condition, the automatic continuous positive airway pressure mode is used as the target ventilation mode.

4. The method according to claim 3, characterized in that The method further comprises: If the target object does not meet the first mode switching condition, judging whether the target object meets the second mode switching condition based on the sleep breathing condition; the second mode switching condition is that the average tidal volume of the target object is less than a preset tidal volume threshold; If the target object meets the second mode switching condition, the automatic bi-level positive airway pressure mode is used as the target ventilation mode.

5. The method according to claim 4, characterized in that The method further comprises: If the target object does not meet the second mode switching condition, monitoring the second breathing index data and the second vital sign index data of the target object within a second preset time period; the second preset time period and the first preset time period are two consecutive time periods, and the second preset time period is later than the first preset time period; If 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 according to the second breathing index data and the second vital sign index data, then obtaining the treatment duration of the target object in the first preset time period and the treatment duration in the second preset time period; 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, the automatic continuous positive airway pressure mode is used as the target ventilation mode.

6. The method according to claim 2, characterized in that When the initial ventilation mode is the automatic continuous positive airway pressure mode, determining 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 based on the analysis result, including: If the average air leakage volume corresponding to the target object is less than the preset air leakage volume, judging whether the proportion of central sleep events occurring in the target object is less than the preset proportion based on the sleep breathing condition of the target object; If the proportion of the central sleep events occurring in the target subject is greater than the preset proportion, the continuous positive airway pressure mode is directly used as the target ventilation mode; If the proportion of the central sleep events occurring in the target subject is less than the preset proportion, judging whether the target subject meets a third mode switching condition based on the sleep breathing condition; the third mode switching condition is that the breathing frequency corresponding to the target subject is less than the preset frequency; If the target object meets the third mode switching condition, the autonomous triggering and time standby frequency mode is used as the target ventilation mode.

7. The method according to claim 6, characterized in that The analysis result also includes the blood pressure fluctuation of the target object within the first preset time period, and the method further includes: If the target object does not meet the third mode switching condition, then based on the sleep breathing condition, it is determined whether the target object meets the fourth mode switching condition; the fourth mode switching condition is that the pressure level of the target object during the automatic continuous positive airway pressure mode treatment is greater than or equal to a second preset pressure value, or the average tidal volume corresponding to the target object is less than a preset tidal volume threshold; If the target object satisfies the fourth mode switching condition, the automatic bi-level positive airway pressure mode is used as the target ventilation mode; If the target object does not meet the fourth mode switching condition, then based on the blood pressure fluctuation condition and the sleep breathing condition, it is determined whether the target object meets the fifth mode switching condition; the fifth mode switching condition is that the airway pressure change of the target object is less than a preset value, and the maximum airway pressure is less than the second preset pressure value, or the blood pressure fluctuation amplitude of the target object is not within the preset blood pressure fluctuation range; If the target object meets the fifth mode switching condition, the continuous positive airway pressure mode is used as the target ventilation mode.

8. The method according to claim 2, characterized in that When the initial ventilation mode is the automatic bi-level positive airway pressure mode, determining 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 based on the analysis result, including: If the average leakage volume corresponding to the target object is less than the preset leakage volume, and the proportion of central sleep events occurring in the target object is less than the preset proportion, then based on the sleep breathing condition and blood pressure fluctuation condition of the target object, it is judged whether the target object meets the sixth mode switching condition; the sixth mode switching condition is that the average tidal volume corresponding to the target object is less than the preset tidal volume threshold, or the blood pressure fluctuation amplitude of the target object is not within the preset blood pressure fluctuation range; If the target object meets the sixth mode switching condition, the autonomous triggering and time frequency standby mode is used as the target ventilation mode.

9. The method according to claim 2, characterized in that When the initial ventilation mode is any one of the continuous positive airway pressure mode, the automatic continuous positive airway pressure mode, the automatic bi-level positive airway pressure mode, and the autonomous triggering and time standby mode, determining 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, including: If the average leakage volume corresponding to the target object is less than the preset leakage volume, judging whether the target object meets the seventh mode switching condition based on the sleep breathing condition of the target object; the seventh mode switching condition is that the proportion of Cheyne-Stokes breathing sleep events in all sleep breathing events of the target object is greater than a preset proportion; If the target object satisfies the seventh mode switching condition, the adaptive servo-ventilation mode is used as the target ventilation mode.

10. The method according to claim 1, characterized in that After switching the ventilation mode of the positive pressure ventilation therapy system from the initial ventilation mode to the target ventilation mode, the method further includes: Acquiring breathing index data of the target object in a target period; the target period is a sub-period within the first preset period, and the target object is in a normal sleep breathing state in the target period; The respiratory parameters of the positive pressure ventilation therapy system are adjusted according to the respiratory index data within the target time period and the parameter adjustment strategy corresponding to the target ventilation mode.

11. The method according to claim 1, characterized in that The method further comprises: Inputting the first breathing index data and the first vital sign index data into a ventilation mode prediction model, wherein the ventilation mode prediction model predicts a target ventilation mode that matches the health condition of the target subject based on the first breathing index data and the first vital sign index data; The ventilation mode of the positive airway pressure therapy system is switched from the initial ventilation mode to the target ventilation mode.

12. The method according to claim 1, characterized in that The method further comprises: The first breathing index data and the first vital sign index data are transmitted to a target application via a preset network transmission method; the target application is used to display the first breathing index data and the first vital sign index data on a target interface via a preset data visualization method.

13. A positive pressure ventilation therapy system, characterized in that: The positive pressure ventilation treatment 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 object 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 object when it undergoes initial ventilation mode treatment of the positive pressure ventilation therapy system; The vital sign parameter detection module is used to monitor the first vital sign indicator data of the target object 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 object when it undergoes the initial ventilation mode treatment of the positive pressure ventilation therapy system; The intelligent control module is used to receive the first breathing index data and the first vital sign index data, and perform data analysis on the first breathing index data and the first vital sign index data to obtain analysis results; the analysis results are used to characterize the health status of the target object; the intelligent control module is also used to determine a target ventilation mode that matches the health status of the target object from multiple ventilation modes of the positive pressure ventilation therapy system based on the analysis results, and switch the ventilation mode of the positive pressure ventilation therapy system from the initial ventilation mode to the target ventilation mode.

14. The positive airway pressure therapy system according to claim 13, characterized in that: The positive pressure ventilation therapy system also includes: a ventilator control module, a ventilator humidification module and a ventilator pressure supply module; The ventilator control module is used to adjust the respiratory parameters of the positive pressure ventilation 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 object; The ventilator pressure supply module is used to adjust the pressure of the gas output by the positive pressure ventilation therapy system.

15. The positive airway pressure therapy system according to claim 13, characterized in that: The multiple ventilation modes include: continuous positive airway pressure mode, automatic continuous positive airway pressure mode, bi-level positive airway pressure mode, automatic bi-level positive airway pressure mode and adaptive servo ventilation mode; the bi-level positive airway pressure mode includes autonomous triggering and time standby frequency mode.

16. The positive airway pressure therapy system according to claim 15, characterized in that: The analysis result includes the sleep breathing status of the target subject during the first preset period of time, and the average air leakage of the breathing mask of the positive pressure ventilation therapy system worn by the target subject during the first preset period of time; The intelligent control module comprises: A first judgment module is used to judge whether the proportion of central sleep events in all sleep breathing events of the target subject is less than a preset proportion based on the sleep breathing status when the initial ventilation mode is the continuous positive airway pressure mode and if the average leakage is less than a preset leakage; A second judgment module is used to judge whether the target object meets a first mode switching condition based on the sleep breathing condition if the proportion of the central sleep events occurring in the target object is less than the preset proportion; the first mode switching condition is that the average apnea-hypopnea index of the target object is greater than a first preset threshold, or the airway pressure of the target object is greater than a first preset pressure value; The first determination 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.

17. The positive airway pressure therapy system according to claim 16, characterized in that: The intelligent control module also includes: a third judgment module, configured to judge whether the target object satisfies a second mode switching condition based on the sleep breathing condition if the target object does not satisfy the first mode switching condition; the second mode switching condition is that the average tidal volume of the target object 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 satisfies the second mode switching condition.

18. The positive airway pressure therapy system according to claim 17, characterized in that: The intelligent control module also includes: A monitoring module, configured to monitor second breathing 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 are two consecutive time periods, and the second preset time period is later than the first preset time period; A first acquisition module, configured to acquire a treatment duration of the target object in the first preset time period and a treatment duration in the second preset time period if 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 according to the second breathing index data and the second vital sign index data; The third determination module is used 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 less than the preset treatment durations.

19. The positive airway pressure therapy system according to claim 15, characterized in that: The intelligent control module also includes: a fourth judgment module, configured to judge whether the proportion of central sleep events occurring in the target subject is less than a preset proportion based on the sleep breathing condition of the target subject when the initial ventilation mode is the automatic continuous positive airway pressure mode and if the average leakage volume corresponding to the target subject is less than a preset leakage volume; a fourth determination module, configured to directly use the continuous positive airway pressure mode as the target ventilation mode if the proportion of the central sleep events occurring in the target subject is greater than the preset proportion; a fifth judgment module, configured to judge whether the target object satisfies a third mode switching condition based on the sleep breathing condition if the proportion of the central sleep events occurring in the target object is less than the preset proportion; the third mode switching condition is that the breathing frequency corresponding to the target object is less than the preset frequency; The fifth determining module is configured to use the autonomous triggering and time frequency standby mode as the target ventilation mode if the target object satisfies the third mode switching condition.

20. The positive airway pressure therapy system according to claim 19, characterized in that: The analysis result also includes the blood pressure fluctuation of the target subject within the first preset time period; The intelligent control module also includes: a sixth judgment module, configured to judge whether the target object satisfies a fourth mode switching condition based on the sleep breathing condition if the target object does not satisfy the third mode switching condition; the fourth mode switching condition is that the pressure level of the target object during the automatic continuous positive airway pressure mode treatment is greater than or equal to a second preset pressure value, or the average tidal volume corresponding to the target object is less than a preset tidal volume threshold; a sixth determination module, configured to use the automatic bi-level positive airway pressure mode as the target ventilation mode if the target object satisfies the fourth mode switching condition; a seventh judgment module, configured to judge whether the target object satisfies a fifth mode switching condition based on the blood pressure fluctuation condition and the sleep breathing condition if the target object does not satisfy the fourth mode switching condition; the fifth mode switching condition is that the airway pressure change of the target object is less than a preset value, and the maximum airway pressure is less than the second preset pressure value, or the blood pressure fluctuation amplitude of the target object is not within a preset blood pressure fluctuation range; The seventh determination 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.

21. The positive airway pressure therapy system according to claim 15, characterized in that: The intelligent control module also includes: an eighth judgment module, for judging whether the target object satisfies a sixth mode switching condition based on the sleep breathing condition and blood pressure fluctuation condition of the target object when the initial ventilation mode is the automatic bi-level positive airway pressure ventilation mode, if the average leakage volume corresponding to the target object is less than a preset leakage volume, and the proportion of central sleep events occurring in the target object is less than a preset proportion; the sixth mode switching condition is that the average tidal volume corresponding to the target object is less than a preset tidal volume threshold, or the blood pressure fluctuation amplitude of the target object is not within a preset blood pressure fluctuation range; An eighth determination module is configured to use the autonomous triggering and time frequency standby mode as the target ventilation mode if the target object satisfies the sixth mode switching condition.

22. The positive airway pressure therapy system according to claim 15, characterized in that: The intelligent control module also includes: a ninth judgment module, for judging whether the target object satisfies a seventh mode switching condition based on the sleep breathing condition of the target object when the initial ventilation mode is any one of the continuous positive airway pressure mode, the automatic continuous positive airway pressure mode, the automatic bi-level positive airway pressure mode and the autonomous trigger and time standby mode, if the average leakage volume corresponding to the target object is less than a preset leakage volume; the seventh mode switching condition is that the proportion of Cheyne-Stokes breathing sleep events in all sleep breathing events of the target object is greater than a preset proportion; A ninth determination 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.

23. The positive airway pressure therapy system according to claim 13, characterized in that: The positive airway pressure therapy system further comprises: A second acquisition module is used to acquire the breathing index data of the target object in a target period; the target period is a sub-period within the first preset period, and the target object is in a normal sleep breathing state in 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.

24. The positive airway pressure therapy system according to claim 13, characterized in that: The positive airway pressure therapy system further comprises: a mode prediction module, configured to input the first breathing index data and the first vital sign index data into a ventilation mode prediction model, wherein the ventilation mode prediction model predicts a target ventilation mode that matches the health condition of the target subject based on the first breathing 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.

25. The positive airway pressure therapy system according to claim 13, characterized in that: The positive airway pressure therapy system further comprises: A data transmission module is used to transmit the first breathing 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 breathing index data and the first vital sign index data on a target interface through a preset data visualization method.

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