Pressure control method and positive pressure ventilation treatment system

Abstract

The invention discloses a pressure control method and a positive pressure ventilation treatment system. According to the scheme, sleep body position data, sleep staging data and micro-awakening index data of a target object during treatment through a positive pressure ventilation treatment system within a preset time period are monitored; determining a target body position pressure component matched with the target sleep body position according to a preset body position pressure component mapping table and the sleep body position data; according to the micro-awakening index data and the sleep staging data, the single-time pressure increasing amount of the positive pressure ventilation treatment system is determined, and the initial ventilation pressure of the positive pressure ventilation treatment system is determined based on the single-time pressure increasing amount and the initial treatment pressure; and determining a target ventilation pressure of the positive pressure ventilation treatment system based on the initial ventilation pressure and the target body position pressure component. According to the positive pressure ventilation treatment system, the problem that a patient is awakened and sleeps in a fragmented mode due to frequent pressure fluctuation of an existing positive pressure ventilation treatment system is solved, and the pressure control precision of the positive pressure ventilation treatment system is remarkably improved.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of medical equipment, in particular to a pressure control method and a positive pressure ventilation treatment system. BACKGROUND

[0002] Sleep is a key physiological process for maintaining normal physiological functions of the human body. Sleep disorders not only reduce the sleep quality of the human body, but also can induce various complications such as cardiovascular diseases and nervous system diseases, which seriously threaten the health of the human body. Among various sleep disorders, obstructive sleep apnea (OSA for short) and insomnia are two common types with extremely high incidence, and the two are not isolated. A large number of clinical studies have confirmed that there is a high comorbidity phenomenon between the two in the same patient group. This kind of comorbidity group is clearly defined by the academic circle as COMISA (Comorbid Insomnia and Sleep Apnea) group.

[0003] The positive pressure ventilation treatment system (such as a ventilator) as the core treatment equipment for sleep breathing disorders generates airflow through a fan, and delivers gas to the airway of the patient according to preset parameters to maintain the patency of the upper airway and improve the ventilation function. The design and pressure control strategy of the existing positive pressure ventilation equipment are mainly aimed at the airway collapse mechanism of pure OSA patients, and the respiratory event is taken as the core basis for triggering pressure regulation, so as to improve the apnea and hypoxia state of the patient.

[0004] However, compared with pure OSA patients, COMISA patients have significantly different pathophysiological characteristics, such as reduced arousal threshold, fragile sleep structure, and unstable central respiratory drive. The existing pressure regulation mode centered on respiratory events often cannot meet the special needs of such patients for sleep stability, and even may exacerbate the problem of arousal and sleep fragmentation due to frequent pressure fluctuations, thereby reducing the sleep quality of the patient, leading to a decline in the treatment experience of the patient, insufficient treatment compliance, and inability to achieve long-term effective treatment, which seriously affects the treatment effect of COMISA disease, and even may delay the progression of the disease. SUMMARY

[0005] Based on the above problems, the present application provides a pressure control method and a positive pressure ventilation treatment system, which aims to solve the problem that the existing positive pressure ventilation treatment system causes arousal and sleep fragmentation of the patient due to frequent pressure fluctuations, so as to improve the pressure control precision of the positive pressure ventilation treatment system.

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

[0007] In a first aspect, the present application provides a pressure control method applied to a positive pressure ventilation treatment system, the method comprising:

[0008] monitoring sleep state index data of the target object in a preset time period; the sleep state index data includes sleep position data, sleep staging data and micro-awakening index data of the target object treated by the positive pressure ventilation treatment system; the sleep position data includes a target sleep position of the target object, the sleep staging data includes a target sleep stage of the target object, and the micro-awakening index data is used to represent a sleep interruption condition of the target object;

[0009] determining a target body position pressure component matched with the target sleep position according to a preset body position pressure component mapping table and the sleep position data; the body position pressure component mapping table includes a plurality of sleep positions of the target object and a body position pressure component corresponding to each sleep position;

[0010] determining a single pressure increase of the positive pressure ventilation treatment system according to the micro-awakening index data and the sleep staging data, and determining an initial ventilation pressure of the positive pressure ventilation treatment system based on the single pressure increase and a starting treatment pressure; the starting treatment pressure is a ventilation pressure when the target object first receives the treatment of the positive pressure ventilation treatment system;

[0011] determining a target ventilation pressure of the positive pressure ventilation treatment system based on the initial ventilation pressure and the target body position pressure component.

[0012] In an optional implementation, the sleep state index data further includes a respiratory limitation index, an obstructive apnea event index, a hypopnea event index and a snoring event index;

[0013] The determining of the single pressure increase of the positive pressure ventilation treatment system according to the micro-awakening index data and the sleep staging data includes:

[0014] taking a maximum value among the respiratory limitation index, the obstructive apnea event index, the hypopnea event index and the snoring event index as a target pressure adjustment coefficient; the target pressure adjustment coefficient is used to adjust the ventilation pressure of the positive pressure ventilation treatment system when the target object has a sleep disordered breathing event;

[0015] determining a pressure sensitivity regulation coefficient of the positive pressure ventilation treatment system based on the micro-awakening index data and a preset micro-awakening index range;

[0016] calculating the single pressure increase according to the target pressure adjustment coefficient, the pressure sensitivity regulation coefficient and the sleep staging data.

[0017] In an optional implementation, the preset micro-awakening index range includes a first micro-awakening index range, a second micro-awakening index range and a third micro-awakening index range, the first micro-awakening index range is used to represent a micro-awakening index less than or equal to a first preset threshold, the second micro-awakening index range is used to represent a micro-awakening index greater than or equal to a second preset threshold, the third micro-awakening index range is used to represent a micro-awakening index greater than the first preset threshold and less than the second preset threshold, and the first preset threshold is less than the second preset threshold.

[0018] The pressure sensitivity regulation coefficient of the positive pressure ventilation treatment system is determined based on the micro-awakening index data and the preset micro-awakening index range, including:

[0019] If the micro-awakening index data is within the first micro-awakening index range, a first pressure sensitivity regulation coefficient is taken as the pressure sensitivity regulation coefficient;

[0020] If the micro-awakening index data is within the second micro-awakening index range, a second pressure sensitivity regulation coefficient is taken as the pressure sensitivity regulation coefficient; the second pressure sensitivity regulation coefficient is greater than the first pressure sensitivity regulation coefficient;

[0021] If the micro-awakening index data is within the third micro-awakening index range, the pressure sensitivity regulation coefficient is calculated based on the first pressure sensitivity regulation coefficient and the micro-awakening index data.

[0022] In an optional implementation, the single pressure increasing amount is calculated according to the target pressure regulation coefficient, the pressure sensitivity regulation coefficient and the sleep staging data, including:

[0023] A target pressure increasing amount upper limit value and a target pressure increasing sensitivity are obtained based on the sleep staging data; the target pressure increasing amount upper limit value is an upper limit of a pressure increasing amount of the positive pressure ventilation treatment system when the target object is in the target sleep stage, and the target pressure increasing sensitivity is a pressure increasing sensitivity of the positive pressure ventilation treatment system when the target object is in the target sleep stage;

[0024] A current treatment pressure and a maximum treatment pressure of the positive pressure ventilation treatment system are obtained, and a pressure regulation factor is calculated based on the maximum treatment pressure and the current treatment pressure;

[0025] The pressure regulation factor, the target pressure regulation coefficient, the pressure sensitivity regulation coefficient and the target pressure increasing sensitivity are multiplied to obtain a comprehensive pressure regulation amount, and a maximum value between the comprehensive pressure regulation amount and a target pressure regulation gain is taken as an effective pressure regulation amount; the target pressure regulation gain is zero.

[0026] The minimum of the effective pressure adjustment amount and the target pressure increase upper limit value is taken as the single pressure increase amount.

[0027] In an optional implementation, the target sleep stage includes any one of the following types: a wake stage, a light sleep stage, a deep sleep stage, and a rapid eye movement stage; the pressure increase upper limit value of the wake stage is less than the pressure increase upper limit value of the light sleep stage, the pressure increase upper limit value of the wake stage is less than the pressure increase upper limit value of the light sleep stage, and the pressure increase upper limit value of the wake stage is less than the pressure increase upper limit value of the light sleep stage.

[0028] In an optional implementation, before the target body position pressure component is determined according to the preset body position pressure component mapping table and the sleep body position data, the pressure control method further includes:

[0029] Obtaining body position respiratory feature data of the target object in a target period; the body position respiratory feature data includes an apnea hypopnea index value, a respiratory disturbance index value, a blood oxygen saturation, and a pressure median of the target object in various sleep body positions, the pressure median is the median of all ventilation pressures output by the positive pressure ventilation treatment system in the target period, and the starting time point of the target period is the time point at which the target object first receives treatment of the positive pressure ventilation treatment system;

[0030] If the apnea hypopnea index value and the respiratory disturbance index value are both less than a third preset threshold, and the blood oxygen saturation is greater than or equal to a fourth preset threshold, then based on the pressure median and the starting treatment pressure, the body position pressure component corresponding to the sleep body position is determined.

[0031] Based on all the sleep body positions corresponding to the target object and the body position pressure components corresponding to the sleep body positions, the body position pressure component mapping table is constructed.

[0032] In a second aspect, the application provides a positive pressure ventilation treatment system, which comprises a sleep index monitoring module and an intelligent control module.

[0033] The sleep index monitoring module is configured to monitor sleep state index data of a target object in a preset period; the sleep state index data includes sleep body position data, sleep staging data, and micro-awakening index data of the target object treated by a positive pressure ventilation treatment system; the sleep body position data includes a target sleep body position of the target object, the sleep staging data includes a target sleep stage of the target object, and the micro-awakening index data is used to represent a sleep interruption condition of the target object.

[0034] The intelligent control module is used to receive the sleep state index data, and determine the target postural pressure component matching the target sleep position according to a preset postural pressure component mapping table and the sleep position data; the postural pressure component mapping table includes multiple sleep positions corresponding to the target object, and the postural pressure component corresponding to each sleep position; and determines the single pressurization rate of the positive pressure ventilation system based on the micro-arousal index data and the sleep stage data, and determines the initial ventilation pressure of the positive pressure ventilation system based on the single pressurization rate and the initial treatment pressure; the initial treatment pressure is the ventilation pressure when the target object first receives treatment from the positive pressure ventilation system;

[0035] The intelligent control module is also used to determine the target ventilation pressure of the positive pressure ventilation therapy system based on the initial ventilation pressure and the target body position pressure component.

[0036] In an optional implementation, the sleep state index data may further include: breathing restriction index, obstructive sleep apnea event index, hypopnea event index, and snoring event index;

[0037] The intelligent control module includes:

[0038] The pressure regulation coefficient determination unit is used to take the maximum value among the breathing restriction index, the obstructive sleep apnea event index, the hypoventilation event index, and the snoring event index as the target pressure regulation coefficient; the target pressure regulation coefficient is used to adjust the ventilation pressure of the positive pressure ventilation therapy system when the target subject experiences a sleep apnea event;

[0039] The pressure sensitivity coefficient determination unit is used to determine the pressure sensitivity control coefficient of the positive pressure ventilation therapy system based on the micro-arousal index data and a preset micro-arousal index range.

[0040] The first calculation unit is used to calculate the single pressure increase based on the target pressure regulation coefficient, the pressure sensitivity control coefficient, and the sleep stage data.

[0041] In an optional implementation, the preset micro-awakening index range includes a first micro-awakening index range, a second micro-awakening index range, and a third micro-awakening index range. The first micro-awakening index range is used to characterize that the micro-awakening index is less than or equal to a first preset threshold. The second micro-awakening index range is used to characterize that the micro-awakening index is greater than or equal to a second preset threshold. The third micro-awakening index range is used to characterize that the micro-awakening index is greater than the first preset threshold and less than the second preset threshold, and the first preset threshold is less than the second preset threshold.

[0042] The pressure sensitivity coefficient determination unit is specifically used for:

[0043] If the micro-awakening index data is within the range of the first micro-awakening index, then the first pressure sensitivity regulation coefficient is used as the pressure sensitivity regulation coefficient.

[0044] If the micro-awakening index data is within the range of the second micro-awakening index, then the second pressure sensitivity regulation coefficient is used as the pressure sensitivity regulation coefficient; the second pressure sensitivity regulation coefficient is greater than the first pressure sensitivity regulation coefficient.

[0045] If the micro-arousal index data is within the range of the third micro-arousal index, then the pressure sensitivity regulation coefficient is calculated based on the first pressure sensitivity regulation coefficient and the micro-arousal index data.

[0046] In an optional implementation, the computing unit includes:

[0047] The first acquisition unit is used to acquire the upper limit of the target systolic pressure and the target systolic pressure sensitivity based on the sleep stage data; the upper limit of the target systolic pressure is the upper limit of the systolic pressure of the positive pressure ventilation therapy system when the target object is in the target sleep stage, and the target systolic pressure sensitivity is the systolic pressure sensitivity of the positive pressure ventilation therapy system when the target object is in the target sleep stage.

[0048] The second acquisition unit is used to acquire the current treatment pressure and the maximum treatment pressure of the positive pressure ventilation therapy system, and to calculate the pressure adjustment factor based on the maximum treatment pressure and the current treatment pressure.

[0049] The pressure regulation amount determination unit is used to multiply the pressure regulation factor, the target pressure regulation coefficient, the pressure sensitivity control coefficient, and the target pressure boosting sensitivity to obtain a comprehensive pressure regulation amount, and to take the maximum value between the comprehensive pressure regulation amount and the target pressure regulation gain as the effective pressure regulation amount; the target pressure regulation gain is zero.

[0050] The pressure increase determination unit is used to take the minimum value between the effective pressure adjustment amount and the target pressure increase upper limit value as the single pressure increase amount.

[0051] In an optional implementation, the target sleep stage includes any of the following types: wakefulness stage, light sleep stage, deep sleep stage, and REM sleep stage; the upper limit of the blood pressure rise in the wakefulness stage is less than the upper limit of the blood pressure rise in the light sleep stage, the upper limit of the blood pressure rise in the wakefulness stage is less than the upper limit of the blood pressure rise in the light sleep stage, and the upper limit of the blood pressure rise in the wakefulness stage is less than the upper limit of the blood pressure rise in the light sleep stage.

[0052] In an optional implementation, the system further includes:

[0053] The third acquisition unit is used to acquire the postural respiratory characteristic data of the target object during a target time period before determining the target postural pressure component that matches the target sleep position according to the preset postural pressure component mapping table and the sleep position data. The postural respiratory characteristic data includes the apnea-hypopnea index, respiratory disturbance index, blood oxygen saturation and median pressure of the target object under various sleep positions. The median pressure is the median of all ventilation pressures output by the positive pressure ventilation therapy system during the target time period. The start time of the target time period is the time point when the target object first receives treatment from the positive pressure ventilation therapy system.

[0054] The postural pressure component determination unit is used to determine the postural pressure component corresponding to the sleep position based on the median pressure and the initial treatment pressure if the apnea-hypopnea index value and the respiratory disturbance index value are both less than a third preset threshold and the blood oxygen saturation is greater than or equal to a fourth preset threshold.

[0055] The mapping table construction unit is used to construct the postural pressure component mapping table based on all the sleep positions corresponding to the target object and the postural pressure components corresponding to the sleep positions.

[0056] In an optional implementation, the system further includes:

[0057] The ventilation volume adjustment module is used to adjust the minute ventilation output by the positive pressure ventilation therapy system according to the target sleep stage currently being reached by the target subject.

[0058] The ventilation and humidity control module is used to adjust the humidity of the gas output by the positive pressure ventilation therapy system according to the target sleep stage currently being experienced by the target object.

[0059] The ventilation temperature adjustment module is used to adjust the temperature of the gas output by the positive pressure ventilation therapy system according to the target sleep stage currently being experienced by the target subject.

[0060] Compared with the prior art, this application has the following beneficial effects:

[0061] In this technical solution, the sleep state index data of the target subject is first monitored within a preset time period. The sleep state index data includes the target subject's sleep position data, sleep stage data, and microarousal index data during positive pressure ventilation therapy. The sleep position data includes the target subject's current target sleep position, the sleep stage data includes the target subject's current target sleep stage, and the microarousal index data is used to characterize the target subject's current sleep interruption status. This comprehensively reflects the target subject's sleep depth, the impact of sleep posture, and sleep continuity, breaking through the limitations of traditional positive pressure ventilation equipment that relies solely on respiratory events (such as AHI and RDI) as the basis for adjustment. It can build a multi-dimensional data foundation for subsequent personalized pressure decisions. Especially for COMISA patients with low arousal thresholds and high sensitivity to sleep disturbances, this monitoring strategy centered on sleep quality can effectively avoid sleep interruption caused by blindly increasing pressure, thereby meeting the diagnostic and treatment needs of these special patients.

[0062] Subsequently, by introducing a position-specific pressure compensation mechanism, the target positional pressure component matching the target sleep position is determined based on a preset positional pressure component mapping table and sleep position data. Since this positional pressure component mapping table includes multiple sleep positions corresponding to the target subject, and the positional pressure component corresponding to each sleep position, the impact of different sleep positions on upper airway collapse can be measured, thereby enabling on-demand pressure supply, reducing unnecessary pressure fluctuations, and lowering the risk of position-related arousal. Then, based on micro-arousal index data and sleep stage data, the single pressurization rate of the positive pressure ventilation system is determined, achieving dynamic limitation of the pressurization amplitude of the positive pressure ventilation system according to sleep depth and stability, avoiding micro-arousals induced by pressure adjustment itself; and based on... The initial ventilation pressure of the positive pressure ventilation system is determined by a single bolus dose and the initial treatment pressure. This initial treatment pressure is the ventilation pressure at which the target subject first receives positive pressure ventilation system treatment. This ensures the safety and effectiveness of the initial ventilation pressure by taking into account both historical baselines and current sleep status. Finally, based on the initial ventilation pressure and the target positional pressure component, the final target ventilation pressure of the positive pressure ventilation system is determined. This solves the problem of frequent pressure fluctuations in existing positive pressure ventilation systems that cause awakening and sleep fragmentation in patients (such as COMISA patients). It significantly improves the pressure control accuracy of the positive pressure ventilation system, thereby improving the overall treatment experience and compliance of patients, and helps to achieve long-term effective treatment and improve disease progression. Attached Figure Description

[0063] To more clearly illustrate the technical solutions in the embodiments of this application or the prior art, the drawings used in the description of the embodiments or the prior art will be briefly introduced below. Obviously, the drawings described below are only some embodiments of this application. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0064] Figure 1 A flowchart of a pressure control method provided in an embodiment of this application;

[0065] Figure 2 A flowchart illustrating the calculation process of a single pressurization amount provided in this application embodiment;

[0066] Figure 3 A flowchart illustrating another calculation process for a single pressurization quantity provided in this application embodiment;

[0067] Figure 4 This is a schematic diagram of a positive pressure ventilation therapy system provided in an embodiment of this application. Detailed Implementation

[0068] As described earlier, current positive pressure ventilation (CPAP) devices and pressure regulation strategies primarily target the airway collapse mechanism in patients with isolated OSA, using respiratory events as the core trigger for pressure regulation to improve apnea and hypoxia. However, patients with COMISA exhibit significantly different pathophysiological characteristics compared to those with isolated OSA, such as a lowered arousal threshold, fragile sleep structure, and unstable central respiratory drive. Existing pressure regulation models centered on respiratory events often fail to meet the specific needs of these patients for sleep stability. In fact, frequent pressure fluctuations may exacerbate arousal and sleep fragmentation, reducing sleep quality and leading to a decreased treatment experience, poor treatment adherence, and an inability to achieve long-term effective treatment. This severely impacts the treatment outcome of COMISA and may even delay disease progression.

[0069] The inventors have proposed a method that first monitors the sleep state indicators of the target subject within a preset time period. These indicators include sleep position data, sleep stage data, and microarousal index data during positive pressure ventilation (PPV) treatment. The sleep position data includes the target subject's current target sleep position, the sleep stage data includes the target sleep stage, and the microarousal index data characterizes the target subject's current sleep interruption status. This method comprehensively reflects the target subject's sleep depth, the impact of sleep posture, and sleep continuity, overcoming the limitations of traditional PPV devices that rely solely on respiratory events (such as AHI and RDI) for adjustment. It provides a multi-dimensional data foundation for subsequent personalized pressure decisions. Especially for COMISA patients with low arousal thresholds and high sensitivity to sleep disturbances, this sleep quality-oriented monitoring strategy effectively avoids sleep interruptions caused by blindly increasing pressure, thus meeting the diagnostic and treatment needs of these special patients.

[0070] Subsequently, by introducing a position-specific pressure compensation mechanism, the target positional pressure component matching the target sleep position is determined based on a preset positional pressure component mapping table and sleep position data. Since this positional pressure component mapping table includes multiple sleep positions corresponding to the target subject, and the positional pressure component corresponding to each sleep position, the impact of different sleep positions on upper airway collapse can be measured, thereby enabling on-demand pressure supply, reducing unnecessary pressure fluctuations, and lowering the risk of position-related arousal. Then, based on micro-arousal index data and sleep stage data, the single pressurization rate of the positive pressure ventilation system is determined, achieving dynamic limitation of the pressurization amplitude of the positive pressure ventilation system according to sleep depth and stability, avoiding micro-arousals induced by pressure adjustment itself; and based on... The initial ventilation pressure of the positive pressure ventilation system is determined by a single bolus dose and the initial treatment pressure. This initial treatment pressure is the ventilation pressure at which the target subject first receives positive pressure ventilation system treatment. This ensures the safety and effectiveness of the initial ventilation pressure by taking into account both historical baselines and current sleep status. Finally, based on the initial ventilation pressure and the target positional pressure component, the final target ventilation pressure of the positive pressure ventilation system is determined. This solves the problem of frequent pressure fluctuations in existing positive pressure ventilation systems that cause awakening and sleep fragmentation in patients (such as COMISA patients). It significantly improves the pressure control accuracy of the positive pressure ventilation system, thereby improving the overall treatment experience and compliance of patients, and helps to achieve long-term effective treatment and improve disease progression.

[0071] Keyword restrictions:

[0072] The respiratory effort-related microarousing index (RI) is an important indicator for assessing fragmented sleep and can be used to evaluate the continuity of sleep interruptions. Based on the severity of RI, it is divided into three levels: mild, moderate, and severe. An RI of 5 or below (no more than 5 respiratory effort-related microarousings per hour) is considered normal. Mild: RI between 5 and 9. These events are characterized by a slight increase in respiratory effort and occasional microarousing, usually with little impact on sleep continuity. Moderate: RI between 10 and 19. A significantly increased frequency of awakenings affects sleep continuity. Severe: RI of 20 or more. Patients experience significant nighttime sleep fragmentation and marked daytime fatigue.

[0073] To enable those skilled in the art to better understand the present application, the technical solutions in the embodiments of the present application will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of the present application, and not all embodiments. Based on the embodiments in the present application, all other embodiments obtained by those of ordinary skill in the art without creative effort are within the scope of protection of the present application.

[0074] Method Implementation Examples

[0075] This application provides an embodiment of a pressure control method applied to a positive pressure ventilation therapy system. It should be noted that the steps shown in the flowcharts 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 flowcharts, in some cases the steps shown or described may be performed in a different order than that presented here.

[0076] See Figure 1 The figure is a flowchart of a pressure control method provided in an embodiment of this application, as shown below. Figure 1 As shown, the method includes the following steps:

[0077] Step S101: Monitor the sleep status index data of the target object within a preset time period.

[0078] In step S101, the sleep state index data includes the sleep position data, sleep stage data, and microarousal index data of the target subject during positive pressure ventilation therapy. Among them, the sleep position data includes the target subject's current target sleep position (e.g., supine, lateral, prone, sitting, and oblique lateral positions), the sleep stage data includes the target subject's current target sleep stage (e.g., awake stage, light sleep stage), and the microarousal index (e.g., respiratory effort-related microarousal index RI) data is used to characterize the target subject's current sleep interruption status.

[0079] In this embodiment, the positive pressure ventilation therapy system can monitor the sleep state index data of the target subject within a preset time period. This sleep state index data can comprehensively reflect the sleep depth, sleep posture influence, and sleep continuity of the target subject, breaking through the limitation of traditional positive pressure ventilation equipment that only relies on respiratory events (such as AHI and RDI) as the basis for adjustment. It can build a multi-dimensional data foundation for subsequent personalized pressure decisions. Especially for COMISA patients with low arousal threshold and high sensitivity to sleep disturbances, this monitoring strategy with sleep quality as the core can effectively avoid sleep interruption caused by blindly increasing pressure, thereby meeting the diagnosis and treatment needs of these special patients.

[0080] Optionally, the target sleep stage includes any of the following types: wakefulness, light sleep, deep sleep, and REM sleep; the upper limit of blood pressure rise in the wakefulness stage is less than that in the light sleep stage, the upper limit of blood pressure rise in the wakefulness stage is less than that in the light sleep stage, and the upper limit of blood pressure rise in the wakefulness stage is less than that in the light sleep stage.

[0081] Step S102: Based on the preset body position pressure component mapping table and sleep position data, determine the target body position pressure component that matches the target sleep position.

[0082] In step S102, the body position pressure component mapping table includes multiple sleep positions corresponding to the target object, and the body position pressure component corresponding to each sleep position.

[0083] In this embodiment, the positive pressure ventilation system can introduce a position-specific pressure compensation mechanism to determine the target positional pressure component that matches the target sleep position based on a preset positional pressure component mapping table and sleep position data. Since the positional pressure component mapping table includes multiple sleep positions corresponding to the target subject, and the corresponding positional pressure component (PressureBodyPosition) for each sleep position, the impact of different sleep positions on upper airway collapse can be measured. This allows for on-demand pressure supply, reducing unnecessary pressure fluctuations and lowering the risk of position-related awakenings. For example, the supine position typically requires higher pressure. The initial supine positional component can be set to 2 cmH2O by default. After the patient uses the system, the iterative supine positional component value can be automatically measured based on the individual patient, achieving personalized and precise treatment.

[0084] In one optional implementation, before determining the target postural pressure component matching the target sleep position based on a preset postural pressure component mapping table and sleep position data, the system can construct a postural pressure component mapping table based on the apnea-hypopnea index, respiratory disturbance index, blood oxygen saturation, and median pressure of the target subject in different sleep positions during the target time period. Specifically, this process includes the following steps:

[0085] Step S11: Obtain the postural and respiratory characteristic data of the target object within the target time period.

[0086] In step S11, the postural respiratory characteristic data includes the apnea-hypopnea index, respiratory disturbance index, blood oxygen saturation, and median pressure of the target subject in various sleep positions. The median pressure is the median of all ventilation pressures output by the positive pressure ventilation system during the target time period, and the start time of the target time period is the time when the target subject first receives positive pressure ventilation system treatment.

[0087] For example, a positive pressure ventilation system can obtain the apnea-hypopnea index, respiratory disturbance index, blood oxygen saturation, and median pressure of a patient in various sleep positions for the first 7 days after the patient first receives positive pressure ventilation treatment.

[0088] Step S12: If the apnea-hypopnea index and respiratory disturbance index are both less than the third preset threshold, and the blood oxygen saturation is greater than or equal to the fourth preset threshold, then the postural pressure component corresponding to the sleep position is determined based on the median pressure and the initial treatment pressure.

[0089] For example, when the respiratory disturbance index (AHI) is less than 5 (i.e., the third preset threshold), the respiratory disturbance index (RDI) is less than 5, and the blood oxygen saturation is greater than or equal to 90 (i.e., the fourth preset threshold), the positive pressure ventilation therapy system can determine that the treatment of this position is effective. Then, the positional pressure component y corresponding to the sleep position can be determined by formula (1) based on the median pressure x and the initial treatment pressure P0.

[0090] y=x- P0(1)

[0091] Step S13: Based on all sleep positions corresponding to the target object and the corresponding positional pressure components, construct a positional pressure component mapping table.

[0092] In this embodiment of the application, the positive pressure ventilation therapy system constructs a postural pressure component mapping table based on all sleep positions corresponding to the target object and the postural pressure components corresponding to the sleep positions, as shown in Table 1.

[0093] Table 1

[0094]

[0095] It should be noted that when the body position pressure component changes, the pressure level should be switched gradually. The pressure change triggered by the position change should be smoothly transitioned according to the rate limit and should not react to respiratory events during the rise and fall. In this way, the body position pressure component can accurately and intelligently solve the apnea and awakening caused by airway obstruction.

[0096] It should be noted that steps S11-S13 above are not shown in the figure.

[0097] Step S103: Based on the micro-arousal index data and sleep stage data, determine the single pressurization volume of the positive pressure ventilation therapy system, and based on the single pressurization volume and the initial treatment pressure, determine the initial ventilation pressure of the positive pressure ventilation therapy system.

[0098] In step S103, the initial treatment pressure is the ventilation pressure when the target subject first receives positive pressure ventilation therapy.

[0099] In this embodiment, the positive pressure ventilation therapy system can determine the single pressurization rate based on microarousal index data and sleep stage data, thereby dynamically limiting the pressurization range of the positive pressure ventilation therapy system according to sleep depth and stability, and avoiding microarousal induced by pressure adjustment itself. The positive pressure ventilation therapy system can determine the initial ventilation pressure by calculating the sum of the single pressurization rate and the initial treatment pressure. This initial treatment pressure is the ventilation pressure when the target subject first receives positive pressure ventilation therapy, thus ensuring the safety and effectiveness of the initial ventilation pressure by taking into account both historical benchmarks and the current sleep state.

[0100] It should be noted that the positive pressure ventilation therapy system for COMISA populations can monitor respiratory effort-related microarousal events (RERA) over a period of time. This period can be a complete sleep cycle or the previously identified overnight arousal index. The system dynamically adjusts the sensitivity of APAP to allow the system to be more conservative or more aggressive when used by users with different levels of arousal, thereby minimizing the microarousal index and improving the system's applicability to different user needs.

[0101] Optionally, the sleep state index data may also include: breathing restriction index, obstructive sleep apnea event index, hypopnea event index, and snoring event index.

[0102] See Figure 2 The figure is a flowchart of a single pressurization calculation process provided in an embodiment of this application. The process includes the following steps:

[0103] In step S1031, the maximum value among the respiratory restriction index, the obstructive apnea event index, the hypopnea event index, and the snoring event index is used as the target pressure adjustment coefficient.

[0104] In step S1031, the target pressure adjustment coefficient is used to adjust the ventilation pressure of the positive pressure ventilation treatment system when a sleep apnea event occurs in the target object.

[0105] In the embodiment of the present application, the positive pressure ventilation treatment system can determine the target pressure adjustment coefficient k through formula (2) x .

[0106] (2)

[0107] where FL is the respiratory restriction index; x OSA is the obstructive apnea event index; x H is the hypopnea event index; x snore is the snoring event index.

[0108] Step S1032, based on the micro-arousal index data and the preset micro-arousal index range, determine the pressure sensitivity regulation coefficient of the positive pressure ventilation treatment system.

[0109] In the embodiment of the present application, the preset micro-arousal index range includes the first micro-arousal index range (such as RI ≤ 5), the second micro-arousal index range (such as RI ≥ 30), and the third micro-arousal index range (5 < RI < 30). The first micro-arousal index range is used to represent that the micro-arousal index is less than or equal to the first preset threshold, the second micro-arousal index range is used to represent that the micro-arousal index is greater than or equal to the second preset threshold, and the third micro-arousal index range is used to represent that the micro-arousal index is greater than the first preset threshold and less than the second preset threshold, and the first preset threshold is less than the second preset threshold. The positive pressure ventilation treatment system can determine the pressure sensitivity regulation coefficient of the positive pressure ventilation treatment system by judging the micro-arousal index range to which the micro-arousal index data belongs. Specifically, if the micro-arousal index data RI is within the first micro-arousal index range, the positive pressure ventilation treatment system uses the first pressure sensitivity regulation coefficient as the pressure sensitivity regulation coefficient; if the micro-arousal index data RI is within the second micro-arousal index range, the positive pressure ventilation treatment system uses the second pressure sensitivity regulation coefficient as the pressure sensitivity regulation coefficient; the second pressure sensitivity regulation coefficient is greater than the first pressure sensitivity regulation coefficient; if the micro-arousal index data RI is within the third micro-arousal index range, the positive pressure ventilation treatment system calculates the pressure sensitivity regulation coefficient based on the first pressure sensitivity regulation coefficient and the micro-arousal index data RI.

[0110] For example, if the first micro-arousal index range is RI ≤ 5, the second micro-arousal index range is RI ≥ 30, and the third micro-arousal index range is 5 < RI < 30, the positive pressure ventilation treatment system can calculate the pressure sensitivity regulation coefficient k through formula (3). RI .

[0111] (3)

[0112] Step S1033: Calculate the single pressure increase amount based on the target pressure adjustment coefficient, the pressure sensitivity regulation coefficient, and the sleep stage data.

[0113] In the embodiment of the present application, the system can calculate the single pressure increase amount ΔP through formula (4) based on the target pressure adjustment coefficient k x , the pressure sensitivity regulation coefficient k RI and the sleep stage data.

[0114] (4)

[0115] where P max is the maximum treatment pressure; P is the current treatment pressure; k sleepStage is the pressure increase sensitivity; ΔP sleepStage,max is the upper limit value of the pressure increase amount (such as the upper limit of the pressure increase amount for a single breathing event in the current sleep stage).

[0116] Specifically, referring to Figure 3 , this figure is a flowchart of another calculation process of the single pressure increase amount provided by the embodiment of the present application, and this process includes the following steps:

[0117] Step S10331: Obtain the target upper limit value of the pressure increase amount and the target pressure increase sensitivity based on the sleep stage data.

[0118] [[ID=...]]In step S10331, the target upper limit value of the pressure increase amount is the upper limit of the pressure increase amount of the positive pressure ventilation treatment system when the target object is in the target sleep stage, and the target pressure increase sensitivity is the pressure increase sensitivity of the positive pressure ventilation treatment system when the target object is in the target sleep stage.

[0119] Step S10332: Obtain the current treatment pressure and the maximum treatment pressure of the positive pressure ventilation treatment system, and calculate the pressure adjustment factor based on the maximum treatment pressure and the current treatment pressure.[[ID=...]]In the embodiment of the present application, the system can obtain the pressure adjustment factor by calculating (P max -P) / 20. For example, when the maximum treatment pressure P max is 12.0 , the current treatment pressure P is 8.0 , the positive pressure ventilation treatment system calculates that the pressure adjustment factor is 0.2.

[0121] Step S10333: Multiply the pressure regulation factor, target pressure regulation coefficient, pressure sensitivity control coefficient and target pressure boosting sensitivity to obtain the comprehensive pressure regulation amount, and take the maximum value between the comprehensive pressure regulation amount and the target pressure regulation gain as the effective pressure regulation amount.

[0122] In step S10333, the target pressure regulation gain is zero.

[0123] In this embodiment of the application, the formula for calculating the comprehensive pressure regulation amount is as shown in formula (5).

[0124] Overall pressure regulation = (P) max -P) / 20)×k sleepStage ×k x ×k RI (5)

[0125] Among them, P max P represents the maximum treatment pressure; P represents the current treatment pressure; k represents the maximum treatment pressure. sleepStage For boost sensitivity; k x k is the target pressure regulation coefficient. RI This is the pressure sensitivity control coefficient. The formula for calculating the effective pressure regulation amount is shown in formula (6).

[0126] Effective pressure regulation = max(((P)) max -P) / 20)×k sleepStage ×k x ×k RI ,0) (6)

[0127] Step S10334: The minimum value between the effective pressure adjustment amount and the upper limit of the target pressure increase amount is taken as the single pressure increase amount.

[0128] In this embodiment, the positive pressure ventilation therapy system can adjust the effective pressure and the upper limit of the target pressure increase ΔP. sleepStage,max Using the minimum value in the formula as the single pressor dose, the required pressor dose is constrained by a safe upper limit. This ensures smooth and safe treatment while intelligently approaching the minimum effective pressure, thereby improving efficacy and comfort.

[0129] Step S104: Determine the target ventilation pressure of the positive pressure ventilation therapy system based on the initial ventilation pressure and the target position pressure component.

[0130] In the embodiments of this application, the positive pressure ventilation therapy system can determine the final target ventilation pressure by calculating the sum of the initial ventilation pressure and the target position pressure component. This solves the problem of frequent pressure fluctuations in existing positive pressure ventilation therapy systems, which cause patients (such as COMISA patients) to wake up and experience fragmented sleep. It significantly improves the pressure control accuracy of the positive pressure ventilation therapy system, thereby improving the overall treatment experience and compliance of patients, and helping to achieve long-term effective treatment and improve disease progression.

[0131] In one alternative implementation, the specific parameters for adjusting ventilation pressure, minute ventilation, humidity, and temperature of the positive pressure ventilation system for different sleep stages in COMISA patients with low arousal thresholds and high sensitivity to sleep disturbances can be as follows:

[0132] (1) Awake phase. During this period, the patient's upper airway muscle tone is normal, and the risk of sleep collapse is low. Therefore, the CPAP pressure is maintained at a low level to enhance comfort. The ventilation pressure is maintained at 4... -6 Within this range, the pressure rise during a single respiratory event is 0, the pressure rise sensitivity is 0, and the sustained depressurization rate is 0. Ventilation during this period is driven by spontaneous behavior, and the minute ventilation can be maintained between 6 L / min and 10 L / min. To avoid dryness of the mouth and nose, a moderate relative humidity (approximately 75–80% RH) can be set. A lower tubing temperature (approximately 22–24°C) during this period facilitates breathing and reduces irritation.

[0133] (2) Light sleep stage. During this period, metabolic breathing control is dominant, and the decrease in tidal volume leads to a decrease in minute ventilation. At this time, the upper airway muscle tone is lower than that in the awake state, and the CPAP pressure should be appropriately increased to maintain airway patency, with the ventilation pressure maintained at 4. -0.5×P max Within this range, the pressure increase per respiratory event is 1. The boost sensitivity is 0.75, and the sustained buck rate is 0.5. / min. During this period, ventilation is relatively regular, and the minute ventilation can be maintained between 6L / min and 8L / min. Maintain high humidity (approximately 80–85%RH) to improve comfort. Set the tubing temperature to a moderate value (approximately 24–26°C) to increase air humidity and reduce nasal irritation.

[0134] (3) Deep sleep stage. During this period, the patient's breathing rhythm is the slowest, and the upper airway muscle tone further decreases. A higher CPAP pressure should be maintained to compensate for the risk of collapse. The ventilation pressure should be maintained at 4. -0.8×P max Within this range, the pressure increase per respiratory event is 2. The boost sensitivity is 1, and the continuous buck rate is 0.5. / min. During this period, minute ventilation is stable but low, with minute ventilation maintained between 5 L / min and 7 L / min. Due to reduced oral and nasal secretions and patients' tendency to experience dry mouth, the humidity target should be set high (approximately 85% RH). The tubing temperature should be maintained at approximately 26°C to ensure the delivered air is sufficiently humidified and to prevent condensation.

[0135] (4) Rapid eye movement (REM) phase. During this phase, the patient's upper airway muscle tone is weakest and the risk of collapse is greatest. Therefore, the highest CPAP pressure is required to maintain airway patency, and the ventilation pressure is maintained at 4. -P max Within this range, the pressure increase per respiratory event is 2.5. The boost sensitivity is 1.25, and the continuous buck rate is 1. / min. During this period, the respiratory pattern is extremely unstable and tidal volume and minute ventilation further decrease, with minute ventilation maintained between 4–6 L / min. Because patients often breathe through their mouths and secretion is minimal during the REM phase, humidity remains around 85% RH. The tubing temperature can be appropriately increased (approximately 26–28°C) to increase air humidity and reduce condensation.

[0136] The pressure control method provided in this application introduces sleep stage perception, wakefulness-related index monitoring, body position and pressure linkage, and central ventilation instability protection mechanism. This significantly reduces the interference of pressure changes on sleep while ensuring airway patency and the effectiveness of respiratory therapy, reduces respiratory effort-related awakening (RERA) and pressure-induced awakening, improves the safety and stability of REM sleep treatment, and thus improves the overall sleep quality and treatment compliance of COMISA patients.

[0137] System Implementation Examples

[0138] This application provides a positive pressure ventilation therapy system, wherein... Figure 4 This is a schematic diagram of a positive pressure ventilation therapy system provided in an embodiment of this application, as shown below. Figure 4 As shown, the device includes a sleep index monitoring module 11 and an intelligent control module 12. Figure 4 You can see the connections between several modules.

[0139] Among them, the sleep index monitoring module 11 is used to monitor the sleep state index data of the target object within a preset time period; the sleep state index data includes the sleep position data, sleep stage data and micro-arousal index data of the target object when treated by the positive pressure ventilation therapy system; the sleep position data includes the target object's current target sleep position, the sleep stage data includes the target object's current target sleep stage, and the micro-arousal index data is used to characterize the target object's current sleep interruption status;

[0140] The intelligent control module 12 is used to receive sleep state index data and determine the target positional pressure component that matches the target sleep position based on a preset positional pressure component mapping table and sleep position data. The positional pressure component mapping table includes multiple sleep positions corresponding to the target object and the positional pressure component corresponding to each sleep position. Based on micro-arousal index data and sleep stage data, the module determines the single pressurization rate of the positive pressure ventilation therapy system and determines the initial ventilation pressure of the positive pressure ventilation therapy system based on the single pressurization rate and the initial treatment pressure. The initial treatment pressure is the ventilation pressure when the target object first receives positive pressure ventilation therapy system treatment.

[0141] The intelligent control module 12 is also used to determine the target ventilation pressure of the positive pressure ventilation therapy system based on the initial ventilation pressure and the target position pressure component.

[0142] In the optional implementation, the preset micro-awakening index range includes a first micro-awakening index range, a second micro-awakening index range, and a third micro-awakening index range. The first micro-awakening index range is used to characterize that the micro-awakening index is less than or equal to a first preset threshold. The second micro-awakening index range is used to characterize that the micro-awakening index is greater than or equal to a second preset threshold. The third micro-awakening index range is used to characterize that the micro-awakening index is greater than the first preset threshold and less than the second preset threshold. The first preset threshold is less than the second preset threshold.

[0143] The pressure sensitivity coefficient determination unit is specifically used for:

[0144] If the micro-awakening index data is within the range of the first micro-awakening index, then the first pressure sensitivity regulation coefficient will be used as the pressure sensitivity regulation coefficient.

[0145] If the micro-awakening index data is within the range of the second micro-awakening index, then the second pressure sensitivity regulation coefficient is used as the pressure sensitivity regulation coefficient; the second pressure sensitivity regulation coefficient is greater than the first pressure sensitivity regulation coefficient.

[0146] If the micro-arousal index data falls within the range of the third micro-arousal index, then the pressure sensitivity regulation coefficient is calculated based on the first pressure sensitivity regulation coefficient and the micro-arousal index data.

[0147] In an optional implementation, the computation unit includes:

[0148] The first acquisition unit is used to acquire the upper limit of the target systolic pressure and the target systolic pressure sensitivity based on sleep stage data; the upper limit of the target systolic pressure is the upper limit of the systolic pressure of the positive pressure ventilation therapy system when the target subject is in the target sleep stage, and the target systolic pressure sensitivity is the systolic pressure sensitivity of the positive pressure ventilation therapy system when the target subject is in the target sleep stage.

[0149] The second acquisition unit is used to acquire the current treatment pressure and the maximum treatment pressure of the positive pressure ventilation therapy system, and to calculate the pressure adjustment factor based on the maximum treatment pressure and the current treatment pressure.

[0150] The pressure regulation amount determination unit is used to multiply the pressure regulation factor, the target pressure regulation coefficient, the pressure sensitivity control coefficient, and the target pressure boosting sensitivity to obtain the comprehensive pressure regulation amount, and takes the maximum value between the comprehensive pressure regulation amount and the target pressure regulation gain as the effective pressure regulation amount; the target pressure regulation gain is zero.

[0151] The pressure boost determination unit is used to take the minimum value between the effective pressure adjustment amount and the upper limit of the target pressure boost amount as the single pressure boost amount.

[0152] In the optional implementation, the target sleep stage includes any of the following types: wakefulness stage, light sleep stage, deep sleep stage, and REM sleep stage; the upper limit of blood pressure rise in the wakefulness stage is less than the upper limit of blood pressure rise in the light sleep stage, the upper limit of blood pressure rise in the wakefulness stage is less than the upper limit of blood pressure rise in the light sleep stage, and the upper limit of blood pressure rise in the wakefulness stage is less than the upper limit of blood pressure rise in the light sleep stage.

[0153] In optional implementations, the positive pressure ventilation therapy system also includes:

[0154] The third acquisition unit is used to acquire the postural respiratory characteristic data of the target subject during the target time period before determining the target postural pressure component that matches the target sleep position based on the preset postural pressure component mapping table and sleep position data. The postural respiratory characteristic data includes the apnea-hypopnea index, respiratory disturbance index, blood oxygen saturation and median pressure of the target subject under various sleep positions. The median pressure is the median of all ventilation pressures output by the positive pressure ventilation therapy system during the target time period. The start time of the target time period is the time point when the target subject first receives positive pressure ventilation therapy system treatment.

[0155] The postural pressure component determination unit is used to determine the postural pressure component corresponding to the sleep position based on the median pressure and the initial treatment pressure if the apnea-hypopnea index and the respiratory disturbance index are both less than the third preset threshold and the blood oxygen saturation is greater than or equal to the fourth preset threshold.

[0156] The mapping table construction unit is used to construct a postural pressure component mapping table based on all sleep positions corresponding to the target object and the postural pressure components corresponding to those sleep positions.

[0157] In optional implementations, the positive pressure ventilation therapy system also includes:

[0158] The ventilation volume adjustment module is used to adjust the minute ventilation output by the positive pressure ventilation therapy system according to the target sleep stage currently in the target subject;

[0159] The ventilation and humidity control module is used to adjust the humidity of the gas output by the positive pressure ventilation therapy system according to the target sleep stage currently being experienced by the target individual.

[0160] The ventilation temperature control module is used to adjust the temperature of the gas output by the positive pressure ventilation therapy system according to the target sleep stage currently being experienced by the target subject.

[0161] Optionally, the positive pressure ventilation therapy system may also include: an air source and pressure control module, a humidification module, a tubing and interface module, a control and detection module, and a power supply and safety module.

[0162] The air source and pressure control module mainly includes an air source device (such as an air pump) and a pressure control unit. The air source control module is used to draw in air from the surrounding environment and compress it to generate a continuous positive pressure airflow. The pressure control unit is used to adjust the airflow pressure according to the preset ventilation mode (such as CPAP continuous positive airway ventilation, BPAP dual horizontal positive airway ventilation, Auto-CPAP automatic pressure regulating continuous positive airway ventilation, Auto-BPAP automatic pressure regulating dual horizontal positive airway ventilation, and ASV adaptive servo ventilation, etc.) through pressure sensors and fan speed.

[0163] The humidification module includes a humidification tank and a heating plate, which is used to heat the humidification tank through the heating plate, thereby humidifying and heating the humidified gas flowing through the humidification tank.

[0164] The breathing tubing and interface module includes a heated breathing tubing and a patient interface. The heated breathing tubing contains a heating wire and a temperature sensor. The heating wire heats the humidified positive pressure gas. The patient (i.e., the target) interface can be a nasal mask, an oronasal mask, a nasal pillow, etc. One end of the patient interface is connected to the heated breathing tubing, and the other end contacts the patient's face, thereby providing the patient with heated and humidified positive pressure gas.

[0165] The control and monitoring module includes a control panel, a sensor system, and a display screen. The control panel, which can be buttons, knobs, or a touchscreen, is used to set pressure parameters, humidification levels, heating temperatures, and ventilation modes. The sensor system includes a pressure sensor, a flow sensor, a blood oxygen monitoring unit, and a continuous blood pressure monitoring unit. The pressure sensor detects the output pressure to ensure consistency with the preset pressure. The flow sensor monitors changes in the patient's respiratory airflow and is used to switch between different ventilation modes or pressures based on the patient's breathing status. The display screen shows current operating parameters (such as pressure, temperature, humidity, usage time, sleep status, blood oxygen saturation, and blood pressure), fault indications (tubing dislodgement, water shortage), and treatment data (AHI index, air leakage).

[0166] The sensor system also includes: an electroencephalogram (EEG) monitoring unit (such as a contact EEG sensor), an electrocardiogram (ECG) monitoring unit (such as a patch ECG sensor), an electromyogram (EMG) monitoring unit (such as an EMG sensor), an electrooculogram (EOG) monitoring unit (such as an ocular electrode patch), and a snoring detection unit. The snoring detection unit is used to capture snoring sounds via a microphone built into the ventilator mask or indirectly determine snoring sounds via a flow sensor. When snoring occurs, the airflow passing through the narrow airway generates irregular turbulence, and the airflow signal exhibits high-frequency vibrations, differing from normal, stable airflow.

[0167] The sensor system also includes: posture monitoring sensors and motion monitoring sensors. Among them, the posture sensors can be tilt sensors calibrated with the assistance of gyroscopes or triaxial accelerometers, which identify fixed postures by changes in angle and trigger targeted adjustments of the ventilator; the motion sensors are mainly triaxial accelerometers and gyroscopes, which determine the user's dynamic state by capturing the amplitude and frequency of movement and assist the ventilator in optimizing its response.

[0168] The power and safety module includes power supplies (such as batteries, power adapters that convert AC to DC) and safety protection devices (such as overvoltage / overcurrent protection, overheat protection, gas leak alarm, low water level alarm, etc.).

[0169] The data storage and transmission module includes a built-in memory, a data transmission module, and a data processing module. The built-in memory can store data such as the user's breathing duration, pressure changes, air leakage, and breathing events. The data transmission module includes a user data transmission module and a sensor data transmission module. The user data transmission module can synchronize data to a mobile app, computer software, or display screen via Bluetooth, WIFI, SD card, or 4G. The sensor data transmission module is used to transmit various collected sensor data to the data processing module. After processing by the data processing module, the data is then transmitted to the user via the user data transmission module.

[0170] The air supply control module draws in and compresses air. The compressed air flows sequentially through a humidifier, a heated breathing tubing, and a patient interface, providing the patient with warmed and humidified positive pressure gas. During this process, a sensor system detects the patient's physiological parameters, which are processed by the data processing module to monitor corresponding respiratory events. The pressure control unit then adjusts the fan speed to a ventilation mode suitable for the patient. The sensor system also monitors the heating temperature of the heated breathing tubing and the humidification level of the humidifier, providing the patient with comfortable temperature and humidity, thus improving patient comfort.

[0171] 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 mutually. Each embodiment focuses on describing the differences from other embodiments. In particular, for the system embodiments, since they are basically similar to the method embodiments, the description is relatively simple, and the relevant parts can be referred to the description of the method embodiments. The system embodiments described above are merely illustrative, and the units described as separate components may or may not be physically separate. The components indicated as units may or may not be physical units, that is, they may be located in one place or distributed across multiple network units. Some or all of the modules can be selected to achieve the purpose of the solution in this embodiment according to actual needs. Those skilled in the art can understand and implement this without creative effort.

[0172] The above is merely one specific embodiment of this application, but the scope of protection of this application is not limited thereto. Any variations or substitutions that can be easily conceived by those skilled in the art within the scope of the technology disclosed in this application should be included within the scope of protection of this application. Therefore, the scope of protection of this application should be determined by the scope of the claims.

Claims

1. A pressure control method, characterized in that, The method, applied to a positive pressure ventilation therapy system, includes: The system monitors sleep state index data of the target subject within a preset time period. The sleep state index data includes sleep position data, sleep stage data, and micro-arousal index data of the target subject during positive pressure ventilation therapy. The sleep position data includes the target subject's current target sleep position, the sleep stage data includes the target sleep stage the target subject is currently in, and the micro-arousal index data is used to characterize the target subject's current sleep interruption status. Based on a preset body position pressure component mapping table and the sleep position data, a target body position pressure component that matches the target sleep position is determined; the body position pressure component mapping table includes multiple sleep positions corresponding to the target object, and the body position pressure component corresponding to each sleep position. Based on the micro-arousal index data and the sleep stage data, the single-increase pressure of the positive pressure ventilation therapy system is determined, and based on the single-increase pressure and the initial treatment pressure, the initial ventilation pressure of the positive pressure ventilation therapy system is determined; the initial treatment pressure is the ventilation pressure when the target subject first receives treatment from the positive pressure ventilation therapy system. The target ventilation pressure of the positive pressure ventilation therapy system is determined based on the initial ventilation pressure and the target body position pressure component.

2. The method according to claim 1, characterized in that, The sleep state index data also includes: breathing restriction index, obstructive sleep apnea event index, hypoventilation event index, and snoring event index; The determination of the single-intensity pressor dose of the positive pressure ventilation therapy system based on the micro-arousal index data and the sleep stage data includes: The maximum value among the breathing restriction index, the obstructive sleep apnea event index, the hypopnea event index, and the snoring event index is used as the target pressure adjustment coefficient; the target pressure adjustment coefficient is used to adjust the ventilation pressure of the positive pressure ventilation therapy system when the target subject experiences a sleep apnea event. Based on the microarousal index data and the preset microarousal index range, the pressure sensitivity control coefficient of the positive pressure ventilation therapy system is determined; The single pressure boost is calculated based on the target pressure regulation coefficient, the pressure sensitivity control coefficient, and the sleep stage data.

3. The method according to claim 2, characterized in that, The preset micro-awakening index range includes a first micro-awakening index range, a second micro-awakening index range, and a third micro-awakening index range. The first micro-awakening index range is used to characterize a micro-awakening index that is less than or equal to a first preset threshold. The second micro-awakening index range is used to characterize a micro-awakening index that is greater than or equal to a second preset threshold. The third micro-awakening index range is used to characterize a micro-awakening index that is greater than the first preset threshold and less than the second preset threshold, wherein the first preset threshold is less than the second preset threshold. The determination of the pressure sensitivity control coefficient of the positive pressure ventilation therapy system based on the micro-arousal index data and a preset micro-arousal index range includes: If the micro-awakening index data is within the range of the first micro-awakening index, then the first pressure sensitivity regulation coefficient is used as the pressure sensitivity regulation coefficient. If the micro-awakening index data is within the range of the second micro-awakening index, then the second pressure sensitivity regulation coefficient is used as the pressure sensitivity regulation coefficient; the second pressure sensitivity regulation coefficient is greater than the first pressure sensitivity regulation coefficient. If the micro-arousal index data is within the range of the third micro-arousal index, then the pressure sensitivity regulation coefficient is calculated based on the first pressure sensitivity regulation coefficient and the micro-arousal index data.

4. The method according to claim 2, characterized in that, The calculation of the single-session pressure boost based on the target pressure regulation coefficient, the pressure sensitivity regulation coefficient, and the sleep stage data includes: The target pressure increase upper limit and target pressure increase sensitivity are obtained based on the sleep stage data; the target pressure increase upper limit is the upper limit of the pressure increase of the positive pressure ventilation therapy system when the target object is in the target sleep stage, and the target pressure increase sensitivity is the pressure increase sensitivity of the positive pressure ventilation therapy system when the target object is in the target sleep stage. The current treatment pressure and maximum treatment pressure of the positive pressure ventilation therapy system are obtained, and a pressure adjustment factor is calculated based on the maximum treatment pressure and the current treatment pressure. The pressure regulation factor, the target pressure regulation coefficient, the pressure sensitivity control coefficient, and the target pressure boosting sensitivity are multiplied together to obtain the comprehensive pressure regulation amount. The maximum value between the comprehensive pressure regulation amount and the target pressure regulation gain is taken as the effective pressure regulation amount; the target pressure regulation gain is zero. The minimum value between the effective pressure adjustment amount and the upper limit of the target pressure increase amount is taken as the single pressure increase amount.

5. The method according to claim 4, characterized in that, The target sleep stage includes any of the following types: wakefulness, light sleep, deep sleep, and REM sleep; the upper limit of blood pressure rise in the wakefulness stage is less than the upper limit of blood pressure rise in the light sleep stage, the upper limit of blood pressure rise in the wakefulness stage is less than the upper limit of blood pressure rise in the light sleep stage, and the upper limit of blood pressure rise in the wakefulness stage is less than the upper limit of blood pressure rise in the light sleep stage.

6. The method according to claim 1, characterized in that, Before determining the target postural pressure component matching the target sleep position based on the preset postural pressure component mapping table and the sleep position data, the method further includes: The postural respiratory characteristic data of the target object during the target time period are obtained; the postural respiratory characteristic data includes the apnea-hypopnea index, respiratory disturbance index, blood oxygen saturation and median pressure of the target object in various sleep positions, wherein the median pressure is the median of all ventilation pressures output by the positive pressure ventilation therapy system during the target time period, and the start time of the target time period is the time point when the target object first receives treatment from the positive pressure ventilation therapy system; If both the apnea-hypopnea index and the respiratory disturbance index are less than the third preset threshold, and the blood oxygen saturation is greater than or equal to the fourth preset threshold, then the postural pressure component corresponding to the sleep position is determined based on the median pressure and the initial treatment pressure. Based on all the sleep positions corresponding to the target object, and the postural pressure components corresponding to the sleep positions, a postural pressure component mapping table is constructed.

7. A positive pressure ventilation therapy system, characterized in that, The system includes: a sleep index monitoring module and an intelligent control module; The sleep index monitoring module is used to monitor the sleep state index data of the target object within a preset time period. The sleep state index data includes the sleep position data, sleep stage data, and micro-arousal index data of the target object when it is treated by the positive pressure ventilation system. The sleep position data includes the target object's current target sleep position, the sleep stage data includes the target sleep stage that the target object is currently in, and the micro-arousal index data is used to characterize the target object's current sleep interruption status. The intelligent control module is used to receive the sleep state index data, and determine the target postural pressure component matching the target sleep position according to a preset postural pressure component mapping table and the sleep position data; the postural pressure component mapping table includes multiple sleep positions corresponding to the target object, and the postural pressure component corresponding to each sleep position; and determines the single pressurization rate of the positive pressure ventilation system based on the micro-arousal index data and the sleep stage data, and determines the initial ventilation pressure of the positive pressure ventilation system based on the single pressurization rate and the initial treatment pressure; the initial treatment pressure is the ventilation pressure when the target object first receives treatment from the positive pressure ventilation system; The intelligent control module is also used to determine the target ventilation pressure of the positive pressure ventilation therapy system based on the initial ventilation pressure and the target body position pressure component.

8. The system according to claim 7, characterized in that, The sleep state index data also includes: breathing restriction index, obstructive sleep apnea event index, hypoventilation event index, and snoring event index; The intelligent control module includes: The pressure regulation coefficient determination unit is used to take the maximum value among the breathing restriction index, the obstructive sleep apnea event index, the hypoventilation event index, and the snoring event index as the target pressure regulation coefficient; the target pressure regulation coefficient is used to adjust the ventilation pressure of the positive pressure ventilation therapy system when the target subject experiences a sleep apnea event; The pressure sensitivity coefficient determination unit is used to determine the pressure sensitivity control coefficient of the positive pressure ventilation therapy system based on the micro-arousal index data and a preset micro-arousal index range. The first calculation unit is used to calculate the single pressure increase based on the target pressure regulation coefficient, the pressure sensitivity control coefficient, and the sleep stage data.

9. The system according to claim 8, characterized in that, The preset micro-awakening index range includes a first micro-awakening index range, a second micro-awakening index range, and a third micro-awakening index range. The first micro-awakening index range is used to characterize a micro-awakening index that is less than or equal to a first preset threshold. The second micro-awakening index range is used to characterize a micro-awakening index that is greater than or equal to a second preset threshold. The third micro-awakening index range is used to characterize a micro-awakening index that is greater than the first preset threshold and less than the second preset threshold, wherein the first preset threshold is less than the second preset threshold. The pressure sensitivity coefficient determination unit is specifically used for: If the micro-awakening index data is within the range of the first micro-awakening index, then the first pressure sensitivity regulation coefficient is used as the pressure sensitivity regulation coefficient. If the micro-awakening index data is within the range of the second micro-awakening index, then the second pressure sensitivity regulation coefficient is used as the pressure sensitivity regulation coefficient; the second pressure sensitivity regulation coefficient is greater than the first pressure sensitivity regulation coefficient. If the micro-arousal index data is within the range of the third micro-arousal index, then the pressure sensitivity regulation coefficient is calculated based on the first pressure sensitivity regulation coefficient and the micro-arousal index data.

10. The system according to claim 8, characterized in that, The computing unit includes: The first acquisition unit is used to acquire the upper limit of the target systolic pressure and the target systolic pressure sensitivity based on the sleep stage data; the upper limit of the target systolic pressure is the upper limit of the systolic pressure of the positive pressure ventilation therapy system when the target object is in the target sleep stage, and the target systolic pressure sensitivity is the systolic pressure sensitivity of the positive pressure ventilation therapy system when the target object is in the target sleep stage. The second acquisition unit is used to acquire the current treatment pressure and the maximum treatment pressure of the positive pressure ventilation therapy system, and to calculate the pressure adjustment factor based on the maximum treatment pressure and the current treatment pressure. The pressure regulation amount determination unit is used to multiply the pressure regulation factor, the target pressure regulation coefficient, the pressure sensitivity control coefficient, and the target pressure boosting sensitivity to obtain a comprehensive pressure regulation amount, and to take the maximum value between the comprehensive pressure regulation amount and the target pressure regulation gain as the effective pressure regulation amount; the target pressure regulation gain is zero. The pressure increase determination unit is used to take the minimum value between the effective pressure adjustment amount and the target pressure increase upper limit value as the single pressure increase amount.

11. The system according to claim 10, characterized in that, The target sleep stage includes any of the following types: wakefulness, light sleep, deep sleep, and REM sleep; the upper limit of blood pressure rise in the wakefulness stage is less than the upper limit of blood pressure rise in the light sleep stage, the upper limit of blood pressure rise in the wakefulness stage is less than the upper limit of blood pressure rise in the light sleep stage, and the upper limit of blood pressure rise in the wakefulness stage is less than the upper limit of blood pressure rise in the light sleep stage.

12. The system according to claim 7, characterized in that, The system also includes: The third acquisition unit is used to acquire the postural respiratory characteristic data of the target object during a target time period before determining the target postural pressure component that matches the target sleep position according to the preset postural pressure component mapping table and the sleep position data. The postural respiratory characteristic data includes the apnea-hypopnea index, respiratory disturbance index, blood oxygen saturation and median pressure of the target object under various sleep positions. The median pressure is the median of all ventilation pressures output by the positive pressure ventilation therapy system during the target time period. The start time of the target time period is the time point when the target object first receives treatment from the positive pressure ventilation therapy system. The postural pressure component determination unit is used to determine the postural pressure component corresponding to the sleep position based on the median pressure and the initial treatment pressure if the apnea-hypopnea index value and the respiratory disturbance index value are both less than a third preset threshold and the blood oxygen saturation is greater than or equal to a fourth preset threshold. The mapping table construction unit is used to construct the postural pressure component mapping table based on all the sleep positions corresponding to the target object and the postural pressure components corresponding to the sleep positions.

13. The system according to claim 7, characterized in that, The system also includes: The ventilation volume adjustment module is used to adjust the minute ventilation output by the positive pressure ventilation therapy system according to the target sleep stage currently being reached by the target subject. The ventilation and humidity control module is used to adjust the humidity of the gas output by the positive pressure ventilation therapy system according to the target sleep stage currently being experienced by the target object. The ventilation temperature adjustment module is used to adjust the temperature of the gas output by the positive pressure ventilation therapy system according to the target sleep stage currently being experienced by the target subject.

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