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

Abstract

The present application discloses a method for switching the working mode of an equipment and a positive pressure ventilation therapy system. In this solution, the first respiratory index data and the first vital sign index data of the target object within a first preset time period are monitored; the first respiratory index data and the first vital sign index data are both index data of the target object when it undergoes treatment in the initial ventilation mode of the positive pressure ventilation therapy system; data analysis is performed on the first respiratory index data and the first vital sign index data to obtain analysis results; based on the analysis results, a target ventilation mode that matches the health status of the target object is determined from multiple ventilation modes of the positive pressure ventilation therapy system; and the ventilation mode of the positive pressure ventilation therapy system is switched from the initial ventilation mode to the target ventilation mode. The technical solution of the present application realizes the adjustment of the ventilation mode of the positive pressure ventilation therapy system in an automated manner, solving the problem of untimely response of the existing positive pressure ventilation therapy system.

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 clinical symptom complex that affects sleep quality through interrupted or abnormal breathing patterns during sleep. The onset of sleep-disordered breathing is complex, often caused by multiple factors. It is closely associated with numerous chronic diseases, making it difficult to comprehensively address the multiple contributing factors, making the treatment of sleep-disordered breathing more challenging.

[0003] A positive airway pressure therapy system is a medical device for SDB. It offers multiple ventilation modes, which can be adjusted as needed to meet the varying needs of SDB patients. However, existing positive airway pressure therapy systems require manual adjustment of the ventilation mode, resulting in unresponsive systems. This not only impacts SDB patients' compliance with the device but also places an additional workload on 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 an equipment and a positive pressure ventilation therapy system, the purpose of which is 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 this application disclose the following technical solutions:

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

[0008] Monitoring first respiratory index data and first vital sign index data of a target subject 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 subject when undergoing initial ventilation mode treatment with a positive pressure ventilation therapy system;

[0009] Performing data analysis on the first respiratory index data and the first vital sign index data to obtain an analysis result;

[0010] 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;

[0011] Switch the ventilation mode of the positive pressure airway therapy system 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; bi-level positive airway pressure mode includes autonomous triggering and time backup mode.

[0013] In an optional implementation, the analysis results include the target subject's sleep breathing status during a first preset period of time, and an 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 air leakage volume is less than the preset air leakage volume, then based on the sleep breathing status, determine 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, determining 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 subject does not meet the first mode switching condition, determining whether the target subject 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 subject is less than a preset tidal volume threshold;

[0020] If the target subject 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, monitoring the second respiratory 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 respiratory index data and the second vital sign index data that the target subject does not meet the first mode switching condition, and the target subject does not meet the second mode switching condition, obtaining the treatment duration of the target subject 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 duration, 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, determining a target ventilation mode that matches the health condition of the target subject from multiple ventilation modes of the positive pressure ventilation therapy system based on the analysis result includes:

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

[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, then 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 target subject's corresponding respiratory frequency 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 subject within the first preset time period, and the method for switching the device working mode further includes:

[0031] If the target subject does not meet the third mode switching condition, then based on the sleep breathing condition, determining whether the target subject meets the fourth mode switching condition; the fourth mode switching condition is that the pressure level of the target subject 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 subject is less than a preset tidal volume threshold;

[0032] If the target subject 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 target subject's airway pressure change is less than a preset value, and the maximum airway pressure is less than a second preset pressure value, or the target subject's blood pressure fluctuation amplitude 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 mode, determining a target ventilation mode that matches the health condition of the target subject from multiple ventilation modes of the positive pressure ventilation therapy system based on the analysis result includes:

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

[0037] If the target subject meets the sixth mode switching condition, the autonomous triggering and time-based 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 triggering and time-backup mode, a target ventilation mode matching the health condition of the target subject is determined from the multiple ventilation modes of the positive pressure ventilation therapy system based on the analysis result, including:

[0039] If the average air leakage corresponding to the target subject is less than the preset air leakage, then determining whether the target subject meets a seventh mode switching condition based on the target subject's sleep respiratory status; 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;

[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] Acquiring respiratory index data of the target subject during a target period; the target period is a sub-period within the first preset period, and the target subject is in a normal sleep breathing state during 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 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 respiratory 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 respiratory index data and the first vital sign index data;

[0046] Switch the ventilation mode of the positive pressure airway therapy system 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 respiratory 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 respiratory index data and the first vital sign index data on the 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, configured to monitor first respiratory index data of the target subject during a first preset time period and transmit the first respiratory index data to the intelligent control module; the first respiratory index data being the respiratory index data of the target subject during treatment in an initial ventilation mode of the positive pressure ventilation therapy system;

[0051] a vital sign parameter detection module, configured to monitor first vital sign indicator data of the target subject during a first preset time period and transmit the first vital sign indicator data to the intelligent control module; the first vital sign indicator data being the vital sign indicator data of the target subject during treatment in the initial ventilation mode of the positive pressure ventilation therapy system;

[0052] The intelligent control module is used to receive first respiratory index data and 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.

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

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

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

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

[0057] Optionally, 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-based standby mode.

[0058] Optionally, the analysis result includes the sleep breathing status of the target subject during the first preset period, 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;

[0059] The intelligent control module includes:

[0060] a first determination module configured to determine, when the initial ventilation mode is the continuous positive airway pressure mode, whether a proportion of central sleep events among all sleep respiratory events of the target subject is less than a preset proportion based on the sleep respiratory status if the average air leakage is less than a preset air leakage;

[0061] a second determination module, configured to determine whether the target subject meets a first mode switching condition based on the sleep breathing condition if the proportion of central sleep events occurring in the target subject is less than a preset proportion; the first mode switching condition being that the target subject's average apnea-hypopnea index is greater than a first preset threshold, or the target subject's airway pressure is greater than a first preset pressure value;

[0062] The first determining module is configured 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 determination module, configured to determine, if the target subject does not meet the first mode switching condition, whether the target subject meets a second mode switching condition based on the sleep breathing condition; the second mode switching condition being that the average tidal volume of the target subject is less than a preset tidal volume threshold;

[0065] The second determining module is configured to set 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 configured to monitor second respiratory index data and second vital sign index data of the target object within a second preset time period if the target object does not meet the second mode switching condition; the second preset time period and the first preset time period being two consecutive time periods, and the second preset time period being later than the first preset time period;

[0068] a first acquiring module, configured to acquire a treatment duration of the target subject in a first preset time period and a treatment duration of the target subject in a second preset time period if it is determined, based on the second respiratory index data and the second vital sign index data, that the target subject does not meet the first mode switching condition and does not meet the second mode switching condition;

[0069] The third determining module is configured to set the automatic continuous positive airway pressure mode as the target ventilation mode if the treatment duration of the first preset time period and the treatment duration of the second preset time period are both shorter than the preset treatment durations.

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

[0071] a fourth determination module, configured to determine, based on the target subject's sleep breathing status, whether a proportion of central sleep events occurring in the target subject is less than a preset proportion when the initial ventilation mode is the automatic continuous positive airway pressure mode and the average air leakage corresponding to the target subject is less than a preset air leakage;

[0072] a fourth determination module, configured to directly set 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 determination module, configured to determine whether the target subject meets a third mode switching condition based on the sleep breathing condition if the proportion of central sleep events occurring in the target subject is less than a preset proportion; the third mode switching condition being that the target subject's corresponding respiratory frequency is less than a preset frequency;

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

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

[0076] The intelligent control module also includes:

[0077] a sixth determination module, configured to determine, if the target subject does not meet the third mode switching condition, whether the target subject meets a fourth mode switching condition based on the sleep respiratory status; the fourth mode switching condition being that the pressure level of the target subject during automatic continuous positive airway pressure treatment is greater than or equal to a second preset pressure value, or that the average tidal volume corresponding to the target subject is less than a preset tidal volume threshold;

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

[0079] a seventh determination module, configured to determine, if the subject does not meet the fourth mode switching condition, whether the subject meets a fifth mode switching condition based on the blood pressure fluctuation condition and the sleep breathing condition; the fifth mode switching condition being that the subject's airway pressure change is less than a preset value, the maximum airway pressure is less than a second preset pressure value, or the subject's blood pressure fluctuation amplitude is not within a preset blood pressure fluctuation range;

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

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

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

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

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

[0085] a ninth determination module for determining, based on the target subject's sleep breathing condition, whether the target subject meets a seventh mode switching condition when the initial ventilation mode is any one of the continuous positive airway pressure mode, the automatic continuous positive airway pressure mode, the automatic bilevel positive airway pressure mode, and the self-triggering and time-backup mode, and if the average air leakage corresponding to the target subject is less than a preset air leakage; the seventh mode switching condition being that a proportion of Cheyne-Stokes sleep events among all sleep respiratory events of the target subject is greater than a preset proportion;

[0086] The ninth determining module is configured to use the adaptive servo-ventilation mode as the target ventilation mode if the target subject 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 subject during a target period; the target period is a sub-period within the first preset period, and the target subject is in a normal sleep breathing state during 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, configured to input the first respiratory index data and the first vital sign index data into a ventilation mode prediction model, and the ventilation mode prediction model predicting a target ventilation mode that matches the health condition of the target subject based on the first respiratory index data and the first vital sign index data;

[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 respiratory 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 respiratory index data and the first vital sign index data on the target interface through a preset data visualization method.

[0095] Compared with the existing technology, this application has the following beneficial effects:

[0096] In the technical solution of the present application, first, the first respiratory index data and the first vital sign index data of the target object within the first preset time period are monitored. 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 that characterize 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 achieved that the ventilation mode of the positive pressure ventilation therapy system is 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 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 following briefly introduces the drawings required for use in the embodiments or the description of the prior art. 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 any creative labor.

[0098] Figure 1 A flowchart of a method for switching a device operating 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 for 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 respiratory index data and the 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 undergoing the initial ventilation mode treatment of the positive pressure ventilation therapy system; then the first respiratory index data and the first vital sign index data are analyzed to obtain an analysis result characterizing the health status of the target object; then based on the analysis result, the target ventilation mode that matches 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 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 avoiding the problem of untimely response of the positive pressure ventilation therapy system.

[0108] Keyword definitions:

[0109] Continuous positive airway pressure mode: CPAP (Continuous Positive Airway Pressure) mode, this mode is suitable for the treatment of obstructive sleep apnea (OSA, full name Obstructive Sleep Apnea), central sleep apnea / Cheyne-Stokes breathing (CSA-CSB, full name Central Sleep Apnea-Cheyne-Stokes Breathing), obstructive sleep apnea hypopnea syndrome (OSAHS, full name Obstructive SleepApneaHypopneaSyndrome), some obesity hypoventilation syndrome (OHS, full name ObesityHypoventilationSyndrome), some central sleep apnea syndrome (CSAS, full name CentralSleepApnea It is suitable for patients with moderate to severe OSA, or those with significant symptoms (such as daytime sleepiness, cognitive impairment, and insomnia), or those with concurrent medical conditions (such as hypertension, coronary artery disease, cerebrovascular disease, and diabetes). It is not suitable for patients with neuromuscular diseases (NMDs) or primary lung diseases. Furthermore, CPAP mode cannot automatically adjust pressure and tidal volume based on patient needs, making it unsuitable for patients with severe CO2 retention.

[0110] Automatic continuous positive airway pressure (APAP) or Auto-CPAP (Automatic Continuous Positive Airway Pressure) is suitable for patients with OSAHS who do not have congestive heart failure (CHF), are intolerant to CPAP, have no significant lung disease, are not experiencing nocturnal oxygen desaturation due to non-obstructive respiratory events, or have moderate to severe OSA without CSAS. It is also suitable for patients with OSAHS whose apnea is unstable due to body position or variations between sleep stages, and for patients with OSA who are significantly affected by body position changes. However, it carries certain risks in treating central sleep apnea (CSA). It is not suitable for treating OSAHS patients with concurrent cardiopulmonary disease or nocturnal hypoxia unrelated to obstructive events.

[0111] Bilevel Positive Airway Pressure (BPAP) mode is indicated for the treatment of OSA and chronic alveolar hypoventilation (CAH), which often presents with CO2 retention, particularly during sleep. BPAP can be tried for patients who have failed CPAP therapy. BPAP operates in two modes: with or without a backup rate (i.e., S / ST mode). Indications: BPAP without a backup rate (BPAP-S mode) is indicated for the treatment of OSAHS patients who are intolerant to CPAP therapy; OSAHS patients with concurrent CSA, neuromuscular disease, chest deformity, COPD with OSA (overlap syndrome), and OHS. BPAP with a backup rate (BPAP-ST mode, i.e., auto-triggered and timed backup rate) is indicated for the treatment of CSA, post-treatment CSAS, neuromuscular disease, chest deformity, severe OHS, and sleep-related hypoventilation.

[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 conditions and those who cannot tolerate CPAP mode treatment.

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

[0114] Apnea-Hypopnea Index (AHI): AHI is an important indicator for assessing the severity of sleep apnea. It represents the average number of apnea and hypopnea events per hour of sleep.

[0115] In order to help those skilled in the art better understand the present invention, the following will clearly and completely describe the technical solutions in the embodiments of the present invention in conjunction with the accompanying drawings. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative work are within the scope of protection of this application.

[0116] Method Example

[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 which is applied to a positive pressure ventilation therapy system, such as Figure 1 As shown, the method includes the following steps:

[0119] Step S101 : monitoring first respiratory 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 undergoes initial ventilation mode treatment of the positive pressure ventilation therapy system. Among them, the first respiratory indicator data includes but is not limited to indicator data such as the target subject's airway pressure, tidal volume, respiratory rate, and oxygen concentration. The first vital sign indicator data includes but is not limited to the target subject's number of sleep arousals (i.e., the number of brief awakenings that the target subject experiences while sleeping at night), blood oxygen saturation, blood pressure (when a non-spoon-shaped or inverted-spoon-shaped blood pressure characteristic trend graph appears, it indicates that the blood pressure regulation mechanism is abnormal and respiratory parameters need to be adjusted in a timely manner; when the high pressure of the target subject'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 take timely action and stop providing ventilation support to the target subject), carbon dioxide level (when the carbon dioxide level rises, it indicates that the target subject is insufficient ventilation or the respiratory center is suppressed, and respiratory support needs to be increased. When the target subject's carbon dioxide level decreases, respiratory support needs to be reduced), respiratory variability (e.g., AHI, tidal volume variability, respiratory rate variability, etc.), sleep cycle and other vital sign indicator data. Among them, the number of sleep arousals of the target subject is related to their sleep state, and is particularly 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 leak in the breathing mask, the target subject may experience sleep arousal events.

[0121] In this embodiment, the first preset period is a preset time period. For example, the first preset period may be a period from 8:00 am on the previous day to 8:00 am on 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 respiratory parameters can be determined by pressure titration.

[0123] Step S102 , performing data analysis on the first respiratory index data and the first vital sign index data to obtain analysis results.

[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 respiratory mask of the positive airway pressure therapy system worn by the target subject, the average leakage volume during the first preset time period, the sleep breathing status of the target subject during 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 subject 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 subject 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-based standby 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 airway pressure 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 airway pressure 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 airway pressure 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 airway pressure therapy system can also be switched from the Auto-CPAP mode to the CPAP mode; the ventilation mode of the positive airway pressure 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 monitored blood oxygen saturation of the target subject is 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 condition 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 is provided in an embodiment of the present application. The process includes 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 a 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 a preset proportion.

[0131] In this embodiment, the average leakage is the average leakage of the respiratory mask of the positive pressure ventilation therapy system worn by the target subject during 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 indicates that the leakage of the respiratory mask of the positive pressure ventilation therapy system worn by the target subject is within the normal range; if the average leakage is greater than or equal to the preset leakage, it indicates that the leakage of the respiratory mask of the positive pressure ventilation therapy system worn by the target subject is not within the normal range, affecting the therapeutic 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 a timely manner. The sleep breathing status is the sleep breathing status of the target subject during the first preset time period, wherein the sleep breathing status may include the occurrence of central sleep events in all sleep breathing events of the target subject during the first preset time period.

[0132] Optionally, the preset ratio is a preset threshold value (e.g., 30%) for the proportion of central sleep events. Since the occurrence of central sleep events significantly affects the ventilation mode to which the positive airway pressure therapy system switches, determining whether the proportion of central sleep events among all sleep respiratory events of the target subject is less than the preset ratio can provide an important basis for accurately determining a target ventilation mode that matches the health condition 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] In 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 subject is greater than a first preset threshold, or the airway pressure of the target subject 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 may determine that the frequency of central sleep apnea occurring in the target subject is low. At this time, the positive airway pressure therapy system may determine a 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>13 cmH2O).

[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 is continued 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 subject during the first preset time period is 12 times, or the airway pressure of the target subject during the first preset time period is 14 cmH2O, the positive airway pressure therapy system may determine that the target subject 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 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 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 for determining a target ventilation mode in CPAP mode provided in an embodiment of the present application includes the following steps:

[0142] Step S401 : If the target subject does not meet the first mode switching condition, it is determined whether the target subject 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 subject 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 airway pressure therapy system may determine whether the target subject meets the second mode switching condition based on the target subject's average tidal volume during sleep breathing conditions during a first preset time period. For example, if the target subject's average AHI during the first preset time period is 8 times, and the target subject's airway pressure during the first preset time period is 10 cmH2O, the positive airway pressure therapy system may determine that the target subject does not meet the first mode switching condition: average AHI>10 times, or airway pressure>13 cmH2O. In this case, the positive airway pressure therapy system may determine whether the target subject meets the second mode switching condition (e.g., average tidal volume<300 mL) based on the target subject's sleep breathing conditions to determine a target ventilation mode that matches the target subject's health condition.

[0145] Step S402: If the target subject 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 subject during the first preset time period is 280 mL, and the positive airway pressure therapy system determines that the target subject 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 target subject's average tidal volume in period A: from 8:00am on December 4 to 8:00am on December 5 is 310mL, which does not meet the second mode switching condition: average tidal volume <300mL. At this time, the positive pressure ventilation therapy system can monitor the target subject's second respiratory index data and second vital sign index data in real time in period B: from 8:00am on December 5 to 8:00am on December 6. If the target subject's average air leakage in period B is less than the preset air leakage volume and the proportion of central sleep events is less than the preset proportion, the average AHI <10 times, airway pressure <13 cmH2O, and average tidal volume >300 mL, the positive airway pressure therapy system can determine that the target subject does not meet the first mode switching condition, and the target subject does not meet the second mode switching condition, and obtain the target subject's treatment time in the above-mentioned period A (for example, 3 hours) and the treatment time in period B (for example, 3.5 hours); then, the positive airway pressure therapy system can determine that in the CPAP mode, the target subject's treatment time in two consecutive time periods is less than the preset treatment time of 4 hours, and then use the Auto-CPAP mode 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. The optimal ventilation mode that matches the health status of the target object can be determined in a timely manner, 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. 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 air leakage corresponding to the target subject is less than a preset air leakage, then based on the sleep breathing status of the target subject, it is determined whether the proportion of central sleep events occurring in the target subject is less than a preset proportion.

[0152] In this embodiment, the average air leakage is the average air leakage of the breathing mask of the positive airway pressure therapy system worn by the target subject during the first preset period; and the sleep breathing condition is the sleep breathing condition of the target subject during the first preset 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 condition of the target subject.

[0155] In 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 may 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 target subject's respiratory rate during sleep breathing conditions during a first preset time period. The respiratory rate is the median of all respiratory rates of the target subject during the first preset time period.

[0158] Step S504: 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.

[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 optimal 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 subject does not meet the third mode switching condition, it is determined whether the target subject 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 treatment in the automatic continuous positive airway pressure mode is greater than or equal to a second preset pressure value, or the target subject's corresponding average tidal volume is less than a preset tidal volume threshold. For example, P95 ≥ 15 cmH2O, or the average tidal volume is less than 300 mL.

[0163] Step 12: If the target subject 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 status of the target object.

[0165] Step 13: If the target subject does not meet the fourth mode switching condition, determine whether the target subject 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 2 cmH2O), and the maximum airway pressure is less than a second preset pressure value (for example, the maximum airway pressure is less than 15 cmH2O), 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 during 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 subject'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 subject'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 subject'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. 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 occurring 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 subject is less than a preset tidal volume threshold, or the blood pressure fluctuation amplitude of the target subject is not within a preset blood pressure fluctuation range.

[0174] In this embodiment, the average air leakage is the average air leakage of the breathing mask of the positive airway pressure therapy system worn by the target subject during the first preset period; and the sleep breathing condition is the sleep breathing condition of the target subject during the first preset period.

[0175] In order to accurately determine the optimal ventilation mode that matches the health status of the target object, in this embodiment, when the initial ventilation mode is the Auto-BPAP mode, the positive pressure ventilation therapy system can first determine whether there is any abnormality in the positive pressure ventilation therapy system (for example, abnormal pressure setting, abnormal pipeline connection, damaged or aging breathing mask, etc.) by determining that the average leakage volume corresponding to the target object is less than the preset leakage volume. 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 determined 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 subject meets the sixth mode switching condition, the autonomous triggering and time-based 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 subject is less than 300 mL, or the blood pressure fluctuation amplitude of the target subject is not within the preset blood pressure fluctuation range, the BPAP-ST mode can be directly used as the optimal ventilation mode that matches the health status of the target subject.

[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 includes 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 triggering and time-based standby mode, if the average leakage volume corresponding to the target object is less than the preset leakage volume, it is determined whether the target object meets the seventh mode switching condition based on the sleep breathing status of the target object.

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

[0181] In step S701 , the seventh mode switching condition is that the proportion of Cheyne-Stokes sleep events in 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 subject 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 decreases until it stops briefly and then starts again, forming a cyclical 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 airway pressure 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 a target ventilation mode that matches the health condition of the target subject, the positive airway pressure therapy system may automatically switch the ventilation mode from the initial ventilation mode to the target ventilation mode. For example, if 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 this 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 respiratory 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 respiratory parameters of the positive pressure ventilation therapy system based on the respiratory 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 indicate that the respiratory rate, breathing depth, and breathing pattern of the target subject are all within a healthy range when they are in a sleep state. 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, usually with only one fixed EPAP setting, which is used to maintain airway patency throughout the entire respiratory cycle; the parameter adjustment strategy of the BPAP mode is dual pressure adjustment, including IPAP (inspiratory positive air pressure): a higher pressure helps the patient inhale air more easily, and EPAP (expiratory positive air pressure): a lower pressure makes exhalation easier.

[0188] Optionally, when the ventilation mode of the positive airway pressure therapy system is switched from CPAP mode to 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 in a normal sleep breathing state (e.g., the treatment pressure value during pressure titration in 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, the PS value is 2-5, the maximum inspiratory pressure P95+PS≤25, and the PS value is initially set to 3 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; 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. 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 is continued 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 can 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 Auto-BPAP mode to 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].

[0193] Optionally, when the ventilation mode of the positive pressure ventilation 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 pressure ventilation therapy system can adjust the respiratory parameters to: the maximum inspiratory pressure value is 30 cmH2O, the minimum expiratory pressure value is 4 cmH2O based on the respiratory index data (such as the 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 pressure ventilation therapy system, in this embodiment, the positive pressure ventilation 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 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; and then switch the ventilation mode of the positive pressure ventilation therapy system from the initial ventilation mode to the target ventilation mode.

[0195] In this embodiment, the ventilation mode prediction model can be a pre-trained machine learning model. Based on the first respiratory index data and the first vital sign index data, the ventilation mode prediction model can accurately predict the target ventilation mode that matches the health status of the target object, 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 this 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 airway pressure therapy system can transmit the first respiratory index data and the first vital sign index data to the target application through Bluetooth transmission or other methods, so that the first respiratory index data and the first vital sign index data are displayed on the target interface, allowing relevant personnel to 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 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 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 thus significantly improving the object's experience.

[0199] System Example

[0200] The embodiment of the present application 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 in FIG, 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 configured to monitor first respiratory index data of the target subject during a first preset period of time and transmit the first respiratory index data to the intelligent control module; the first respiratory index data is respiratory index data of the target subject during initial ventilation mode treatment with the positive pressure ventilation therapy system;

[0202] a vital sign parameter detection module 12 for monitoring first vital sign indicator data of the target subject during a first preset time period and transmitting the first vital sign indicator data to the intelligent control module; the first vital sign indicator data being the vital sign indicator data of the target subject during treatment in the initial ventilation mode of the positive pressure ventilation therapy 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 an analysis result; the analysis result is 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 result, 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 by the ventilator monitoring module, and 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 by 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 to obtain an analysis result representing the health status of the target object, and then the intelligent control module accurately determines the 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 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 comprises: a ventilator control module, a ventilator humidification module and a ventilator pressure supply module;

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

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

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

[0209] Optionally, the positive airway pressure therapy system also includes a ventilator alarm module configured to generate an audible and visual alarm when the positive airway pressure therapy system malfunctions or when the subject's respiratory parameters exceed a preset range, alerting personnel to promptly address the situation. Alarms may include, but are not limited to, airway pressure exceeding a preset range, oxygen concentration exceeding a preset range, and power failure.

[0210] Optionally, 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-based standby mode.

[0211] Optionally, the analysis result includes the sleep breathing status of the target subject during the first preset period, 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;

[0212] The intelligent control module includes:

[0213] a first determination module configured to determine, when the initial ventilation mode is the continuous positive airway pressure mode, whether a proportion of central sleep events among all sleep respiratory events of the target subject is less than a preset proportion based on the sleep respiratory status if the average air leakage is less than a preset air leakage;

[0214] a second determination module, configured to determine whether the target subject meets a first mode switching condition based on the sleep breathing condition if the proportion of central sleep events occurring in the target subject is less than a preset proportion; the first mode switching condition being that the target subject's average apnea-hypopnea index is greater than a first preset threshold, or the target subject's airway pressure is greater than a first preset pressure value;

[0215] The first determining module is configured 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 determination module, configured to determine, if the target subject does not meet the first mode switching condition, whether the target subject meets a second mode switching condition based on the sleep breathing condition; the second mode switching condition being that the average tidal volume of the target subject is less than a preset tidal volume threshold;

[0218] The second determining module is configured to set 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 configured to monitor second respiratory index data and second vital sign index data of the target object within a second preset time period if the target object does not meet the second mode switching condition; the second preset time period and the first preset time period being two consecutive time periods, and the second preset time period being later than the first preset time period;

[0221] a first acquiring module, configured to acquire a treatment duration of the target subject in a first preset time period and a treatment duration of the target subject in a second preset time period if it is determined, based on the second respiratory index data and the second vital sign index data, that the target subject does not meet the first mode switching condition and does not meet the second mode switching condition;

[0222] The third determining module is configured to set the automatic continuous positive airway pressure mode as the target ventilation mode if the treatment duration of the first preset time period and the treatment duration of the second preset time period are both shorter than the preset treatment durations.

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

[0224] a fourth determination module, configured to determine, based on the target subject's sleep breathing status, whether a proportion of central sleep events occurring in the target subject is less than a preset proportion when the initial ventilation mode is the automatic continuous positive airway pressure mode and the average air leakage corresponding to the target subject is less than a preset air leakage;

[0225] a fourth determination module, configured to directly set 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 determination module, configured to determine whether the target subject meets a third mode switching condition based on the sleep breathing condition if the proportion of central sleep events occurring in the target subject is less than a preset proportion; the third mode switching condition being that the target subject's corresponding respiratory frequency is less than a preset frequency;

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

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

[0229] The intelligent control module also includes:

[0230] a sixth determination module, configured to determine, if the target subject does not meet the third mode switching condition, whether the target subject meets a fourth mode switching condition based on the sleep respiratory status; the fourth mode switching condition being that the pressure level of the target subject during automatic continuous positive airway pressure treatment is greater than or equal to a second preset pressure value, or that the average tidal volume corresponding to the target subject is less than a preset tidal volume threshold;

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

[0232] a seventh determination module, configured to determine, if the subject does not meet the fourth mode switching condition, whether the subject meets a fifth mode switching condition based on the blood pressure fluctuation condition and the sleep breathing condition; the fifth mode switching condition being that the subject's airway pressure change is less than a preset value, the maximum airway pressure is less than a second preset pressure value, or the subject's blood pressure fluctuation amplitude is not within a preset blood pressure fluctuation range;

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

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

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

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

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

[0238] a ninth determination module for determining, based on the target subject's sleep breathing condition, whether the target subject meets a seventh mode switching condition when the initial ventilation mode is any one of the continuous positive airway pressure mode, the automatic continuous positive airway pressure mode, the automatic bilevel positive airway pressure mode, and the self-triggering and time-backup mode, and if the average air leakage corresponding to the target subject is less than a preset air leakage; the seventh mode switching condition being that a proportion of Cheyne-Stokes sleep events among all sleep respiratory events of the target subject is greater than a preset proportion;

[0239] The ninth determining module is configured to use the adaptive servo-ventilation mode as the target ventilation mode if the target subject 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 subject during a target period; the target period is a sub-period within the first preset period, and the target subject is in a normal sleep breathing state during 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, configured to input the first respiratory index data and the first vital sign index data into a ventilation mode prediction model, and the ventilation mode prediction model predicting a target ventilation mode that matches the health condition of the target subject based on the first respiratory index data and the first vital sign index data;

[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 respiratory 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 respiratory 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 the various embodiments in this specification are described in a progressive manner, and the same or similar parts between the various 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 illustrative, wherein 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 can be selected according to actual needs to achieve the purpose of the solution of this embodiment. A person of ordinary skill in the art can understand and implement it without expending creative work.

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

Claims

1. A positive pressure ventilation therapy system, characterized in that: The positive pressure ventilation treatment system includes: a ventilator monitoring module, a vital sign parameter detection module and an intelligent control module; The ventilator monitoring module is used to monitor first respiratory index data of the target subject within a first preset time period and send the first respiratory index data to the intelligent control module; the first respiratory index data is the respiratory index data of the target subject when undergoing initial ventilation mode treatment of the positive pressure ventilation therapy system; The vital sign parameter detection module is configured to monitor first vital sign indicator data of the target subject within a first preset time period and send the first vital sign indicator data to the intelligent control module; the first vital sign indicator data is the vital sign indicator data of the target subject when undergoing initial ventilation mode treatment of the positive pressure ventilation therapy system; The intelligent control module is configured to receive the first respiratory index data and the first vital sign index data, and perform data analysis on the first respiratory index data and the first vital sign index data to obtain an analysis result; the analysis result is used to characterize the health condition of the target subject; the intelligent control module is further configured to determine, based on the analysis result, a target ventilation mode that matches the health condition of the target subject from a plurality of ventilation modes of the positive pressure ventilation therapy system, and switch the ventilation mode of the positive pressure ventilation therapy system from the initial ventilation mode to the target ventilation mode; The multiple ventilation modes include a continuous positive airway pressure mode and an automatic continuous positive airway pressure mode, the analysis results include the sleep breathing status of the target subject during the first preset time period, and the average air leakage of a breathing mask of a positive pressure ventilation therapy system worn by the target subject during the first preset time period; the intelligent control module includes: a first determining module configured to determine, when the initial ventilation mode is the continuous positive airway pressure mode, if the average leakage volume is less than a preset leakage volume, whether a proportion of central sleep events occurring in all sleep respiratory events of the target subject is less than a preset proportion based on the sleep respiratory status; a second determination module, configured to determine, if the proportion of central sleep events occurring in the target subject is less than a preset proportion, whether the target subject satisfies a first mode switching condition based on the sleep breathing condition; the first mode switching condition being that the average apnea-hypopnea index of the target subject is greater than a first preset threshold, or the airway pressure of the target subject is greater than a first preset pressure value; The first determining module is configured to use the automatic continuous positive airway pressure mode as the target ventilation mode if the target object meets the first mode switching condition.

2. The positive airway pressure therapy system according to claim 1, characterized in that: The positive pressure ventilation therapy system further comprises: a ventilator control module, a ventilator humidification module and a ventilator pressure supply module; The ventilator control module is configured to adjust the respiratory parameters of the positive airway pressure therapy system according to the health condition of the target subject; The ventilator humidification module is used to adjust the humidity of the gas inhaled by the target subject; The ventilator pressure supply module is used to adjust the pressure of the gas output by the positive pressure ventilation therapy system.

3. The positive airway pressure therapy system according to claim 1, wherein: The multiple ventilation modes further include: bi-level positive airway pressure ventilation mode, automatic bi-level positive airway pressure ventilation mode and adaptive servo ventilation mode; the bi-level positive airway pressure ventilation mode includes autonomous triggering and time-based standby mode.

4. The positive airway pressure therapy system according to claim 3, characterized in that: The intelligent control module also includes: a third judgment module, configured to judge, if the target subject does not meet the first mode switching condition, whether the target subject meets a second mode switching condition based on the sleep breathing condition; the second mode switching condition being that the average tidal volume of the target subject is less than a preset tidal volume threshold; The second determining module is configured to use the automatic bi-level positive airway pressure mode as the target ventilation mode if the target object meets the second mode switching condition.

5. The positive airway pressure therapy system according to claim 4, characterized in that: The intelligent control module also includes: a monitoring module, configured to monitor second respiratory index data and second vital sign index data of the target object within a second preset time period if the target object does not meet the second mode switching condition; the second preset time period and the first preset time period being two consecutive time periods, and the second preset time period being later than the first preset time period; a first acquisition module, configured to acquire a treatment duration for the target subject in the first preset time period and a treatment duration for the target subject in the second preset time period, if it is determined, based on the second respiratory indicator data and the second vital sign indicator data, that the target subject does not satisfy the first mode switching condition and the target subject does not satisfy the second mode switching condition; The third determining module is configured to use the automatic continuous positive airway pressure mode as the target ventilation mode if the treatment duration of the first preset time period and the treatment duration of the second preset time period are both shorter than the preset treatment durations.

6. The positive airway pressure therapy system according to claim 3, characterized in that: The intelligent control module also includes: a fourth determination module, configured to determine, based on the sleep breathing condition of the target subject, whether a proportion of central sleep events occurring in the target subject is less than a preset proportion when the initial ventilation mode is the automatic continuous positive airway pressure mode and the average air leakage corresponding to the target subject is less than a preset air leakage; a fourth determining module, configured to directly use the continuous positive airway pressure mode as the target ventilation mode if the proportion of central sleep events occurring in the target subject is greater than the preset proportion; a fifth determination module, configured to determine, based on the sleep respiratory status, whether the target subject satisfies a third mode switching condition if the proportion of the central sleep events occurring in the target subject is less than the preset proportion; the third mode switching condition being that the respiratory rate corresponding to the target subject is less than a preset frequency; A fifth determining module is configured to use the autonomous triggering and time-based standby mode as the target ventilation mode if the target subject satisfies the third mode switching condition.

7. The positive airway pressure therapy system according to claim 6, characterized in that: The analysis result also includes the blood pressure fluctuation of the target subject during the first preset time period; The intelligent control module also includes: a sixth determination module, configured to determine, if the target subject does not meet the third mode switching condition, whether the target subject meets a fourth mode switching condition based on the sleep respiratory status; the fourth mode switching condition being that the pressure level of the target subject during treatment in the automatic continuous positive airway pressure mode is greater than or equal to a second preset pressure value, or that the average tidal volume corresponding to the target subject is less than a preset tidal volume threshold; a sixth determining module, configured to use the automatic bi-level positive airway pressure mode as the target ventilation mode if the target subject satisfies the fourth mode switching condition; a seventh determination module, configured to determine, if the subject does not meet the fourth mode switching condition, whether the subject meets a fifth mode switching condition based on the blood pressure fluctuation condition and the sleep breathing condition; the fifth mode switching condition being that the change in the subject's airway pressure is less than a preset value, the maximum airway pressure is less than the second preset pressure value, or the blood pressure fluctuation amplitude of the subject is not within a preset blood pressure fluctuation range; A seventh determining module is configured to use the continuous positive airway pressure mode as the target ventilation mode if the target object satisfies the fifth mode switching condition.

8. The positive airway pressure therapy system according to claim 3, characterized in that: The intelligent control module also includes: an eighth judgment module, configured to, when the initial ventilation mode is the automatic bi-level positive airway pressure mode, determine whether the target subject meets a sixth mode switching condition based on the target subject's sleep breathing condition and blood pressure fluctuation condition if the average leakage volume corresponding to the target subject is less than a preset leakage volume and the proportion of central sleep events occurring in the target subject is less than a preset proportion; the sixth mode switching condition being that the average tidal volume corresponding to the target subject is less than a preset tidal volume threshold, or the blood pressure fluctuation amplitude of the target subject is not within a preset blood pressure fluctuation range; An eighth determining module is configured to use the autonomous triggering and time-based standby mode as the target ventilation mode if the target subject satisfies the sixth mode switching condition.

9. The positive airway pressure therapy system according to claim 3, characterized in that: The intelligent control module also includes: a ninth determination module, configured to determine, based on the target subject's sleep breathing condition, whether the target subject satisfies a seventh mode switching condition when the initial ventilation mode is any one of the continuous positive airway pressure mode, the automatic continuous positive airway pressure mode, the automatic bilevel positive airway pressure mode, and the autonomous trigger and time-based standby mode, if the average air leakage corresponding to the target subject is less than a preset air leakage; the seventh mode switching condition being that a proportion of Cheyne-Stokes sleep events among all sleep respiratory events of the target subject is greater than a preset proportion; A ninth determining module is configured to use the adaptive servo-ventilation mode as the target ventilation mode if the target object satisfies the seventh mode switching condition.

10. The positive airway pressure therapy system according to claim 1, characterized in that: The positive airway pressure therapy system further comprises: A second acquisition module is configured to acquire respiratory index data of the target subject within a target period; the target period is a sub-period within the first preset period, and the target subject is in a normal sleep breathing state within the target period; The parameter adjustment module is used to adjust the respiratory parameters of the positive pressure ventilation therapy system according to the respiratory index data within the target time period and the parameter adjustment strategy corresponding to the target ventilation mode.

11. The positive airway pressure therapy system according to claim 1, characterized in that: The positive airway pressure therapy system further comprises: a mode prediction module, configured to input the first respiratory index data and the first vital sign index data into a ventilation mode prediction model, whereby the ventilation mode prediction model predicts a target ventilation mode that matches the health condition of the target subject based on the first respiratory index data and the first vital sign index data; A mode switching module is used to switch the ventilation mode of the positive pressure ventilation therapy system from the initial ventilation mode to the target ventilation mode.

12. The positive airway pressure therapy system according to claim 1, characterized in that: The positive airway pressure therapy system further comprises: A data transmission module is used to transmit the first respiratory index data and the first vital sign index data to a target application through a preset network transmission method; the target application is used to display the first respiratory index data and the first vital sign index data on a target interface through a preset data visualization method.

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