Treatment pressure dynamic adjusting method suitable for sleep breathing machine and sleep breathing machine

Abstract

The invention relates to a dynamic treatment pressure adjusting method suitable for a sleep breathing machine and the sleep breathing machine. The method comprises the following steps of: performing long-term titer timing on the sleep breathing machine, namely acquiring sleep treatment breathing statistical information corresponding to at least two sleep treatment stages, and calculating and generating a sleep treatment feature group representing a sleep treatment state based on the acquired sleep treatment breathing statistical information; based on the ventilation pressure adjusting control information, the set minimum treatment pressure and / or the set maximum treatment pressure adopted in the standard sleep treatment stage are / is correspondingly adjusted, and the expected ventilation pressure state of the next sleep treatment stage is generated after adjustment. Through real-time multi-source feature monitoring and closed-loop learning, the treatment pressure range can be gradually optimized in the using process and tends to fluctuate in a proper interval under the condition that traditional pressure titration is not carried out, so that the adaptation period is shortened, manual intervention is reduced, and the treatment effectiveness and comfort are improved.

Description

Technical Field

[0001] This invention relates to a method for dynamically adjusting therapeutic pressure, and more particularly to a method for dynamically adjusting therapeutic pressure suitable for sleep apnea machines and a sleep apnea machine. Background Technology

[0002] A sleep apnea machine is a medical device used to treat sleep-disordered breathing. Its core working principle is based on continuous positive airway pressure (CPAP) technology, which maintains the upper airway open by providing a stable positive airflow, thereby improving sleep apnea and snoring.

[0003] Users with obstructive sleep apnea syndrome (OSA) typically need to undergo one or more pressure titrations at a sleep center before starting treatment with a sleep apnea machine to determine the appropriate treatment pressure range for their individual needs. Traditional pressure titration requires the user to wear a polysomnography device overnight for monitoring, with pressure adjusted in real-time by a professional technician—a time-consuming, complex process that heavily relies on medical resources. However, in actual clinical and home treatment, most users do not undergo standardized pressure titration before starting machine therapy, often directly using the factory settings or the initial pressure recommended by their doctor. This can lead to poor initial treatment outcomes or increased user discomfort.

[0004] In the prior art, one embodiment of sleep therapy pressure support utilizes at least two, or possibly all three, pieces of information involving the following three items: (i) airway patency, i.e. the degree to which the user's airway is open, (ii) the primary cause of the current sleep apnea event, and (iii) the user's response to previous pressure changes, in order to automatically titrate the pressure upon learning of a sleep apnea event.

[0005] In this application, pressure can also be automatically titrated based solely on the primary cause of sleep-disordered breathing events. Specifically, by automatically detecting the user's breathing status, pressure can be gradually increased or decreased based on event-triggered methods (such as obstructive sleep apnea, hypoventilation, etc.) to achieve automatic titration of therapeutic pressure.

[0006] However, when applying for stress support, this application primarily relies on fixed rules and does not involve complex multi-parameter fusion or long-term learning mechanisms. It only modifies the stress for the current treatment session, without incorporating the user's long-term historical data for stress optimization. There is no synergy between real-time and long-term adjustments, and the treatment stress settings remain unchanged.

[0007] In the prior art, another embodiment of sleep therapy can use a ventilator intelligent control method. However, users are affected by various factors at night. The application mentions adjusting the titration parameters based on the previous night's sleep data, which has poor robustness. For example, if a user is overworked during the day or takes medication, resulting in poor sleep data at night, the treatment effect that night will be very poor, and it will also cause a large change in the titration parameters the next day, which cannot meet the requirements of real-time and long-term adaptive parameter optimization.

[0008] In summary, the existing treatment pressure methods of sleep apnea machines cannot effectively meet the actual needs of users. Summary of the Invention

[0009] The purpose of this invention is to overcome the shortcomings of the existing technology and provide a method for dynamic adjustment of treatment pressure and a sleep apnea machine suitable for sleep apnea. Through real-time multi-source feature monitoring and closed-loop learning, the treatment pressure range can be gradually optimized and fluctuate within a suitable range during use without traditional pressure titration, thereby shortening the adaptation period, reducing manual intervention, and improving the effectiveness and comfort of treatment.

[0010] According to the technical solution provided by the present invention, a method for dynamically adjusting the treatment pressure suitable for a sleep apnea machine is provided, the method comprising: At least long-term titration of the sleep apnea machine is performed to generate the desired ventilation pressure state for the next sleep therapy stage after long-term titration, wherein the desired ventilation pressure state includes the desired minimum treatment pressure and / or the desired maximum treatment pressure for the next stage. Long-term titration of sleep apnea machines includes: Obtain sleep therapy breathing statistics for at least two sleep therapy stages, wherein the two sleep therapy stages include at least a baseline sleep therapy stage and a reference sleep therapy stage; Based on the obtained sleep therapy respiratory statistics, a sleep therapy feature group characterizing the sleep therapy state is calculated and generated, wherein the sleep therapy feature group includes several sleep therapy statistical features. Based on the pressure adjustment indication status corresponding to all sleep treatment statistical features within the sleep treatment feature group, ventilation pressure adjustment control information is generated. Based on ventilation pressure adjustment and control information, the minimum and / or maximum treatment pressure settings used in the baseline sleep therapy phase are adjusted accordingly to generate the desired ventilation pressure state for the next sleep therapy phase.

[0011] When generating ventilation pressure adjustment control information, the following are included: Each sleep therapy statistical feature is compared with the corresponding sleep therapy statistical threshold to generate a pressure adjustment indication state corresponding to each sleep therapy statistical feature. The pressure adjustment indication state includes a pressure increase indication, a pressure hold indication, or a pressure decrease indication. The pressure adjustment indication status corresponding to all statistical characteristics of sleep therapy is statistically analyzed, and ventilation pressure adjustment control information is generated based on the statistical results. If the pressure adjustment indicator status is such that the number of sleep therapy statistical features corresponding to the pressure increase indicator is dominant, then the pressure adjustment direction of the generated ventilation adjustment control information is to increase the ventilation pressure. During treatment pressure adjustment, based on the ventilation adjustment control information of increased ventilation pressure, the set minimum treatment pressure and / or set maximum treatment pressure used in the baseline sleep treatment stage are increased to generate the desired ventilation pressure state for the next sleep treatment stage. If the pressure adjustment indication status is that the number of sleep therapy statistical features corresponding to the pressure reduction indication is dominant, then the pressure adjustment direction of the generated ventilation adjustment control information is to reduce the ventilation pressure. When adjusting the treatment pressure, based on the ventilation adjustment control information of the reduced ventilation pressure, the set minimum treatment pressure and / or set maximum treatment pressure used in the baseline sleep treatment stage are reduced to generate the desired ventilation pressure state for the next sleep treatment stage. If the number of sleep therapy statistical features corresponding to the pressure adjustment indication state of increasing pressure is not greater than the number of sleep therapy statistical features corresponding to the pressure adjustment indication state of decreasing pressure, then the pressure adjustment direction for generating ventilation adjustment control information is ventilation pressure maintenance. When adjusting the treatment pressure, the ventilation adjustment control information based on the ventilation pressure maintenance maintains the minimum and / or maximum treatment pressure used in the baseline sleep treatment phase to generate the desired ventilation pressure state for the next sleep treatment phase.

[0012] The sleep therapy statistical features within the sleep therapy feature group include at least the sleep apnea-hypopnea index, sleep therapy respiratory event statistics, minimum therapeutic pressure statistics, maximum therapeutic pressure statistics, first stage fusion ventilation pressure statistics, and second stage fusion ventilation pressure statistics. Regarding the characteristics of sleep apnea-hypopnea index, we have:

[0013] in, The characteristics of sleep apnea-hypopnea index are... The average number of pauses and hypopnea per hour during a baseline sleep therapy phase. For coefficients, This represents the average number of pauses and hypoventilations that occurred during all reference sleep therapy phases. Regarding the statistical characteristics of breathing events in sleep therapy, we have:

[0014] in, Statistical characteristics of breathing events during sleep therapy. The average number of snoring sounds per hour during the baseline sleep therapy phase. The average number of airflow limitation episodes per hour during the baseline sleep therapy phase. For coefficients, This represents the average number of snoring events occurring during all reference sleep therapy phases. This represents the average number of airflow limitation events occurring across all reference sleep therapy phases. Regarding the statistical characteristics of minimum therapeutic pressure, we have:

[0015] in, This represents the statistical characteristics of minimum therapeutic pressure. The 50th percentile of ventilation pressure during the baseline sleep therapy phase. This is the minimum ventilation pressure during the baseline sleep therapy phase; Regarding the statistical characteristics of maximum therapeutic pressure, we have:

[0016] in, The statistical characteristics of maximum therapeutic pressure This represents the 95th percentile of ventilation pressure during the baseline sleep therapy phase. This represents the maximum ventilation pressure during the baseline sleep therapy phase. For the first statistical characteristic of staged fusion ventilation pressure, we have:

[0017] in, The first statistical characteristic of staged fusion ventilation pressure is... For reference, the average sleep therapy stage value, For coefficients, For the second statistical characteristic of staged fusion ventilation pressure, we have:

[0018] in, The second statistical characteristic of staged fusion ventilation pressure. For reference, the average sleep therapy stage , is a coefficient.

[0019] When the number of pressure adjustment indication states corresponding to the pressure boost indication is not less than 3, the pressure adjustment direction of the generated ventilation adjustment control information is to increase the ventilation pressure. When the number of pressure adjustment indication states corresponding to the pressure reduction indication is not less than 3, the pressure adjustment direction of the generated ventilation adjustment control information is to reduce the ventilation pressure. When the number of pressure adjustment indication states corresponding to the pressure boosting indication and the number of pressure adjustment index states corresponding to the pressure depressurization indication are both 3, or when the number of pressure adjustment indication states corresponding to the pressure holding indication is not less than 3, the pressure regulation direction for generating ventilation adjustment control information is ventilation pressure holding.

[0020] When the ventilation adjustment control information is configured to increase ventilation pressure, then: Obtain the pressure adjustment indication status corresponding to the minimum treatment pressure statistical characteristics and the first statistical characteristics of the stage fusion ventilation pressure. When at least one pressure adjustment indication status is a pressure increase indication, the set minimum treatment pressure used in the baseline sleep treatment stage is increased by a preset first pressure increase step size to generate the expected minimum treatment pressure for the next stage. Otherwise, the set minimum treatment pressure configuration used in the baseline sleep treatment stage is used as the expected minimum treatment pressure for the next stage. Obtain the pressure adjustment indication status corresponding to the statistical characteristics of the maximum therapeutic pressure and the second statistical characteristics of the stage fusion ventilation pressure. When at least one pressure adjustment indication status is a pressure increase indication, increase the set maximum therapeutic pressure used in the baseline sleep therapy stage by a preset second pressure increase step size to generate the expected maximum therapeutic pressure for the next stage; otherwise, use the set maximum therapeutic pressure configuration used in the baseline sleep therapy stage as the expected maximum therapeutic pressure for the next stage.

[0021] When adjusting treatment pressure, if the direction of pressure adjustment in the ventilation control information is to decrease the ventilation pressure, then: Obtain the pressure adjustment indication status corresponding to the minimum treatment pressure statistical characteristics and the first statistical characteristics of the stage fusion ventilation pressure. When at least one pressure adjustment indication status is a pressure reduction indication, the set minimum treatment pressure used in the baseline sleep treatment stage is reduced by a preset first pressure reduction step size to generate the expected minimum treatment pressure for the next stage. Otherwise, the set minimum treatment pressure configuration used in the baseline sleep treatment stage is used as the expected minimum treatment pressure for the next stage. Obtain the pressure adjustment indication status corresponding to the statistical characteristics of the maximum therapeutic pressure and the second statistical characteristics of the stage fusion ventilation pressure. When at least one pressure adjustment indication status is a pressure reduction indication, the set maximum therapeutic pressure used in the baseline sleep treatment stage is reduced by a preset second pressure reduction step size to generate the expected maximum therapeutic pressure for the next stage. Otherwise, the set maximum therapeutic pressure configuration used in the baseline sleep treatment stage is used as the expected maximum therapeutic pressure for the next stage.

[0022] It also includes real-time pressure regulation performed during the baseline sleep therapy phase and / or the next sleep therapy phase, wherein, When implementing real-time pressure control, the following are included: During the current sleep therapy phase, monitor the current treatment breathing data within the target time window, and calculate the corresponding sleep state value based on the monitored current treatment breathing data; Based on the calculated sleep state values, a real-time pressure adjustment reference value is generated. Based on real-time pressure adjustment reference values, the current treatment pressure of the current sleep therapy stage is adjusted to generate temporary treatment pressure that can improve the effectiveness and comfort of sleep therapy.

[0023] When calculating sleep state values, the following are included:

[0024] in, This is a value indicating the sleep state. , , All are coefficients. The average humidity within the target time window. The average inspiratory time within the target time window. Due to the current treatment pressure, Specify the minimum treatment pressure for the current treatment phase. Specify the maximum treatment pressure for the current treatment phase.

[0025] When calculating and generating the real-time pressure adjustment reference value, we have:

[0026] in, To adjust the reference value for pressure in real time, , All are coefficients. The in-window AHI index within the target time window. The number of snoring sounds occurring within the target time window. The number of times airflow restriction occurs within the target time window; Based on the real-time pressure adjustment reference value, temporary pressure adjustment control information is generated; Based on temporary pressure adjustment control information, the current therapeutic pressure is adjusted to generate temporary therapeutic pressure that can improve the effectiveness and comfort of sleep therapy.

[0027] A sleep apnea machine, wherein the sleep apnea machine utilizes the aforementioned dynamic adjustment method for treatment pressure adjustment.

[0028] The advantages of this invention are: dynamic adjustment of treatment pressure can include real-time pressure control and long-term titration. Real-time pressure control can improve the effectiveness and comfort of sleep therapy by adjusting the temporary treatment pressure. Long-term titration can generate the desired ventilation pressure state for the next stage of sleep therapy. When the sleep apnea machine is used for sleep therapy at the desired ventilation pressure state, the adaptation period can be shortened, manual intervention can be reduced, and the effectiveness and comfort of the treatment can be improved. This invention, through real-time multi-source feature monitoring and closed-loop learning, allows the treatment pressure range to be gradually optimized and fluctuate within a suitable range during use without traditional pressure titration. Attached Figure Description

[0029] Figure 1 This is a schematic diagram of one embodiment of the dynamic adjustment of therapeutic pressure according to the present invention.

[0030] Figure 2 This is a schematic diagram of one embodiment of the real-time pressure control of the present invention.

[0031] Figure 3 This is a schematic diagram of another embodiment of the real-time pressure control of the present invention. Detailed Implementation

[0032] The present invention will be further described below with reference to specific accompanying drawings and embodiments.

[0033] In order to gradually optimize the treatment pressure range and make it fluctuate within a suitable range during use without traditional pressure titration, thereby shortening the adaptation period, reducing manual intervention, and improving the effectiveness and comfort of treatment, this invention provides a method for dynamically adjusting the treatment pressure suitable for sleep apnea machines. Specifically, the method for dynamically adjusting the treatment pressure includes: At least long-term titration of the sleep apnea machine is performed to generate the desired ventilation pressure state for the next sleep therapy stage after long-term titration, wherein the desired ventilation pressure state includes the desired minimum treatment pressure and / or the desired maximum treatment pressure for the next stage. Long-term titration of sleep apnea machines includes: Obtain sleep therapy breathing statistics for at least two sleep therapy stages, wherein the two sleep therapy stages include at least a baseline sleep therapy stage and a reference sleep therapy stage; Based on the obtained sleep therapy respiratory statistics, a sleep therapy feature group characterizing the sleep therapy state is calculated and generated, wherein the sleep therapy feature group includes several sleep therapy statistical features. Based on the pressure adjustment indication status corresponding to all sleep treatment statistical features within the sleep treatment feature group, ventilation pressure adjustment control information is generated. Based on ventilation pressure adjustment and control information, the minimum and / or maximum treatment pressure settings used in the baseline sleep therapy phase are adjusted accordingly to generate the desired ventilation pressure state for the next sleep therapy phase.

[0034] Generally, sleep apnea machines are divided into single-level and bi-level sleep apnea machines. The following section explains the corresponding operating modes of single-level and bi-level sleep apnea machines. Single-level sleep apnea machines have Continuous Positive Airway Pressure (CPAP) mode and Auto CPAP mode. CPAP mode provides the user with a constant airway pressure, while Auto CPAP mode automatically adjusts the pressure level according to the user's real-time breathing status. Bilevel sleep apnea machines have S mode and Auto-S mode, etc. The details of S mode and Auto-S mode are consistent with existing technologies and will not be elaborated here.

[0035] Before using a sleep apnea machine, the treatment pressure is usually set. For example, in Continuous Positive Airway Pressure (CPAP) mode, a treatment pressure for the entire night is set, while in AutoCPAP mode, minimum and maximum treatment pressures are set. Generally, without pressure titration or professional adjustment, the initial pressure settings for a sleep apnea machine are as follows: in CPAP mode, the treatment pressure is usually the minimum adjustable value; in AutoCPAP mode, the minimum treatment pressure is usually the minimum adjustable value, and the maximum treatment pressure is usually the maximum adjustable value.

[0036] As explained above, during the use of a sleep apnea machine, the pressure cannot be modified while operating in Continuous Positive Airway Pressure (CPAP) mode, resulting in poor treatment effectiveness for some users. In AutoCPAP mode, although the pressure increases and then slowly decreases based on the occurrence of events, the incidence of events throughout the night is much higher for users who have undergone pressure titration and professional adjustments, and they are unable to achieve comfortable sleep. Furthermore, the maximum and minimum therapeutic pressure settings remain unchanged.

[0037] It should be noted that the dynamic adjustment method of treatment pressure of the present invention is applicable to both single-level and bilevel sleep apnea machines. The type of sleep apnea machine can be selected as needed. When performing dynamic adjustment of treatment pressure, the sleep apnea machine should be titrated for a long period of time. The purpose of long-term titration is mainly to determine the expected ventilation pressure state for the next sleep treatment stage. The next sleep treatment stage is the stage in which the sleep apnea machine will be used for sleep treatment next time. The expected ventilation pressure state includes the expected minimum treatment pressure and / or the expected maximum treatment pressure for the next stage. For example, for the AutoCPAP mode, the expected minimum treatment pressure and the expected maximum treatment pressure for the next stage are the minimum and maximum treatment pressures that should be set for the next sleep treatment stage. For the CPAP mode, the expected ventilation pressure state can only include the expected minimum treatment pressure for the next stage, that is, the expected minimum treatment pressure for the next stage can be set as the overnight treatment pressure of the CPAP mode. The corresponding situation for bilevel sleep apnea machines can be consistent with the prior art, which will not be elaborated here.

[0038] Figure 1 The diagram illustrates an embodiment of long-term titration. As shown, during long-term titration, sleep therapy respiratory statistics should be obtained for at least two sleep therapy phases. Specifically, sleep therapy respiratory statistics refer to statistical values ​​of relevant information during sleep therapy, such as information related to sleep therapy events. The details of sleep therapy respiratory statistics are explained below. Generally, the two sleep therapy phases include at least a baseline sleep therapy phase and a reference sleep therapy phase. The baseline and reference sleep therapy phases specifically refer to sleep therapy phases performed on the same user using the same sleep apnea machine. Therefore, the sleep therapy respiratory statistics should be the sleep therapy data statistics for the same user.

[0039] The baseline sleep therapy phase should generally be the phase during the most recent use of a sleep apnea machine for respiratory therapy. The reference sleep therapy phase is the phase that occurred before the baseline sleep therapy phase and involved the use of a sleep apnea machine for respiratory therapy. For example, if a new sleep therapy session is required today, and sleep apnea machine therapy was used yesterday and the day before, then yesterday's sleep therapy is the baseline sleep therapy phase, and the sleep therapy the day before yesterday is the reference sleep therapy phase. In one embodiment of the present invention, at least one reference sleep therapy phase is included. For other cases, please refer to the description herein. Furthermore, when the reference sleep therapy phase includes other situations, sleep therapy respiratory statistics for each reference sleep therapy phase should be collected. Specific details can be selected as needed, and will not be elaborated here.

[0040] Depend on Figure 1 As can be seen, based on the acquired sleep therapy respiratory statistics, a sleep therapy feature set representing the sleep therapy state can be calculated and generated. It is understood that representing the sleep therapy state here specifically refers to representing the sleep therapy state before the actual treatment. In practice, the sleep therapy feature set can include multiple sleep therapy statistical features. These multiple features allow for statistical analysis of the sleep therapy state from different perspectives, thus achieving multi-source feature monitoring. The sleep therapy statistical features and their calculation process will be explained in detail below.

[0041] In practice, after calculating the sleep treatment feature group, the pressure adjustment indication state corresponding to each sleep treatment statistical feature can be determined. Subsequently, based on the pressure adjustment indication states corresponding to all sleep treatment statistical features, ventilation pressure adjustment control information can be generated. Specifically, the pressure adjustment indication state refers to the pressure adjustment direction determined based on the corresponding sleep treatment statistical feature. Ventilation pressure adjustment control information specifically refers to adjusting the treatment pressure of the sleep apnea machine. Generally, the direction and magnitude of the treatment pressure adjustment can be determined through ventilation pressure adjustment control information. The specific implementation of treatment pressure adjustment using ventilation pressure adjustment control information will be explained below.

[0042] Understandably, during baseline sleep therapy, a treatment pressure is typically set within the sleep apnea machine. This setting usually includes a minimum treatment pressure and / or a maximum treatment pressure. The specific treatment pressure setting depends on the sleep apnea machine's operating mode; please refer to the relevant explanations above for details. When adjusting the treatment pressure using ventilation pressure adjustment control information, the minimum and maximum treatment pressures are adjusted. After these adjustments, the desired minimum and maximum treatment pressures for the next stage are generated, thus establishing the minimum and maximum treatment pressures for the next sleep therapy stage.

[0043] It should be understood that when a sleep apnea machine is used for sleep therapy at the desired ventilation pressure, the adaptation period can be shortened, human intervention reduced, and the effectiveness and comfort of the treatment improved. As can be seen from the above description of long-term titration, this invention, through real-time multi-source feature monitoring and closed-loop learning, enables the treatment pressure range to be gradually optimized and fluctuate within a suitable range during use without traditional pressure titration.

[0044] In practice, the above-mentioned long-term titration can be continuously performed on the same user. For example, when performing the long-term titration for the first time, the expected ventilation pressure state for the next sleep treatment stage can be obtained. After the next sleep treatment, the previous next sleep treatment stage becomes the baseline sleep treatment stage. At this time, the expected minimum pressure of the previous next stage becomes the set minimum treatment pressure of the current baseline sleep treatment stage, and the expected maximum pressure of the previous next stage becomes the set maximum treatment pressure of the current sleep treatment stage. The iteration of long-term titration can be referred to here for explanation.

[0045] In one embodiment of the present invention, generating ventilation pressure adjustment control information includes: Each sleep therapy statistical feature is compared with the corresponding sleep therapy statistical threshold to generate a pressure adjustment indication state corresponding to each sleep therapy statistical feature. The pressure adjustment indication state includes a pressure increase indication, a pressure hold indication, or a pressure decrease indication. The pressure adjustment indication status corresponding to all statistical characteristics of sleep therapy is statistically analyzed, and ventilation pressure adjustment control information is generated based on the statistical results. If the pressure adjustment indicator status is such that the number of sleep therapy statistical features corresponding to the pressure increase indicator is dominant, then the pressure adjustment direction of the generated ventilation adjustment control information is to increase the ventilation pressure. During treatment pressure adjustment, based on the ventilation adjustment control information of increased ventilation pressure, the set minimum treatment pressure and / or set maximum treatment pressure used in the baseline sleep treatment stage are increased to generate the desired ventilation pressure state for the next sleep treatment stage. If the pressure adjustment indication status is that the number of sleep therapy statistical features corresponding to the pressure reduction indication is dominant, then the pressure adjustment direction of the generated ventilation adjustment control information is to reduce the ventilation pressure. When adjusting the treatment pressure, based on the ventilation adjustment control information of the reduced ventilation pressure, the set minimum treatment pressure and / or set maximum treatment pressure used in the baseline sleep treatment stage are reduced to generate the desired ventilation pressure state for the next sleep treatment stage. If the number of sleep therapy statistical features corresponding to the pressure adjustment indication state of increasing pressure is not greater than the number of sleep therapy statistical features corresponding to the pressure adjustment indication state of decreasing pressure, then the pressure adjustment direction for generating ventilation adjustment control information is ventilation pressure maintenance. When adjusting the treatment pressure, the ventilation adjustment control information based on the ventilation pressure maintenance maintains the minimum and / or maximum treatment pressure used in the baseline sleep treatment phase to generate the desired ventilation pressure state for the next sleep treatment phase.

[0046] Since multiple sleep therapy statistical features provide insights into sleep therapy status from different perspectives, a corresponding sleep therapy statistical threshold should be configured for each feature. The specific details regarding these thresholds will be explained below in conjunction with the corresponding sleep therapy statistical features. It should be noted that by comparing each sleep therapy statistical feature with its corresponding sleep therapy statistical threshold, the pressure adjustment indication state corresponding to the current sleep therapy statistical feature can be determined. In other words, a corresponding pressure adjustment indication state can be obtained based on each sleep therapy statistical feature. This pressure adjustment indication state can include pressure increase indication, pressure maintenance indication, or pressure decrease indication.

[0047] When multiple sleep therapy statistical features exist, the pressure adjustment indication status corresponding to all sleep therapy statistical features should be statistically analyzed. Subsequently, ventilation pressure adjustment control information is generated based on the statistical results. In specific implementation, the pressure adjustment indication status is statistically analyzed, and the corresponding number of pressure increase indications, maintenance indications, and pressure decrease indications can be counted. By analyzing the magnitude of the statistical count, the corresponding ventilation pressure adjustment control information can be determined. If the number of pressure increase indications is dominant, it can be determined that the pressure adjustment direction corresponding to the ventilation pressure adjustment control information is at least pressure increase. For other cases and cases where the statistical count is dominant, please refer to the corresponding explanations below.

[0048] In one embodiment of the present invention, the sleep therapy statistical features within the sleep therapy feature group include at least the sleep apnea-hypopnea index feature, sleep therapy respiratory event statistical features, minimum therapeutic pressure statistical features, maximum therapeutic pressure statistical features, a first stage fusion ventilation pressure statistical feature, and a second stage fusion ventilation pressure statistical feature, wherein... Regarding the characteristics of sleep apnea-hypopnea index, we have:

[0049] in, The characteristics of sleep apnea-hypopnea index are... The average number of pauses and hypopnea per hour during a baseline sleep therapy phase. For coefficients, This represents the average number of pauses and hypoventilations that occurred during all reference sleep therapy phases. Regarding the statistical characteristics of breathing events in sleep therapy, we have:

[0050] in, Statistical characteristics of breathing events during sleep therapy. The average number of snoring sounds per hour during the baseline sleep therapy phase. The average number of airflow limitation episodes per hour during the baseline sleep therapy phase. For coefficients, This represents the average number of snoring events occurring during all reference sleep therapy phases. This represents the average number of airflow limitation events occurring across all reference sleep therapy phases. Regarding the statistical characteristics of minimum therapeutic pressure, we have:

[0051] in, This represents the statistical characteristics of minimum therapeutic pressure. The 50th percentile of ventilation pressure during the baseline sleep therapy phase. This is the minimum ventilation pressure during the baseline sleep therapy phase; Regarding the statistical characteristics of maximum therapeutic pressure, we have:

[0052] in, The statistical characteristics of maximum therapeutic pressure This represents the 95th percentile of ventilation pressure during the baseline sleep therapy phase. This represents the maximum ventilation pressure during the baseline sleep therapy phase. For the first statistical characteristic of staged fusion ventilation pressure, we have:

[0053] in, The first statistical characteristic of staged fusion ventilation pressure is... For reference, the average sleep therapy stage value, For coefficients, For the second statistical characteristic of staged fusion ventilation pressure, we have:

[0054] in, The second statistical characteristic of staged fusion ventilation pressure. For reference, the average sleep therapy stage , is a coefficient.

[0055] In practice, the sleep therapy feature group may include at least 6 sleep therapy statistical features. The 6 sleep therapy statistical features may be: sleep apnea-hypopnea index feature, sleep therapy respiratory event statistical feature, minimum therapy pressure statistical feature, maximum therapy pressure statistical feature, first stage fusion ventilation pressure statistical feature, and second stage fusion ventilation pressure statistical feature. Of course, sleep therapy statistical features may also include other cases, which will not be elaborated here.

[0056] When calculating the sleep apnea-hypopnea index, the average number of apneas and hypopneas per hour during a baseline sleep therapy phase should be used. This average number of apneas and hypopneas per hour during the baseline sleep therapy phase can be directly generated by the sleep apnea machine, and the specific method of generation can be consistent with existing technologies. The average number of apneas and hypopneas per hour across all reference sleep therapy phases should be calculated. Generally, the reference sleep therapy phase used should be determined, followed by the number of apneas and hypopneas per hour for each reference sleep therapy phase. The arithmetic mean of the numbers across all reference sleep therapy phases is then calculated; the result of this arithmetic mean is the index described above. Of course, other calculation methods can also be used, which will not be illustrated here. Coefficient It is a fixed constant, generally an empirical value, or a coefficient obtained by fitting data of the AHI index for different sleep therapy stages. The value of .

[0057] When calculating the statistical characteristics of breathing events during sleep therapy, the results can be directly obtained from the sleep therapy breathing statistics within the sleep apnea machine. The value and Regarding the value, it should be noted that... , The corresponding calculation method can be found above. The explanation is omitted here. Additionally, the coefficients... The values ​​can be referenced from the coefficients mentioned above. Explanation of the possible values.

[0058] When calculating the statistical characteristics of minimum therapeutic pressure, it can be directly obtained from the sleep therapy breathing statistics within the sleep apnea machine. The minimum ventilation pressure during the baseline sleep therapy phase can be the set minimum pressure value for the baseline sleep therapy phase. However, if the set minimum pressure value is lowered, then... The minimum ventilation pressure should be taken. The ventilation pressure can be directly obtained from the sleep apnea treatment breathing statistics of the sleep apnea machine. It should be noted that when calculating the statistical characteristics of the maximum treatment pressure, please refer to the explanation of calculating the statistical characteristics of the minimum treatment pressure here, which will not be repeated here.

[0059] When calculating the first statistical characteristic of ventilatory pressure during the calculation phase, if a reference sleep therapy phase exists, then... This can be directly obtained from the sleep therapy respiratory statistics corresponding to the reference sleep therapy stage. When there is at least one reference sleep therapy stage, the 50th percentile of the corresponding ventilation pressure is taken as the arithmetic mean to obtain the corresponding... .coefficient The value of can be referenced from the above coefficients. The calculation of the second statistical characteristic of staged fusion ventilation pressure can be found in the explanation of the first statistical characteristic of staged fusion ventilation pressure above, and will not be repeated here.

[0060] As explained above, the characteristics of the sleep apnea-hypopnea index (AHI) are related to the AHI index. Specifically, the AHI index is an effective parameter reflecting nighttime sleep quality. The purpose of using a sleep apnea machine is to maintain the user's AHI index within a normal range throughout the night. Understandably, if the AHI index is not maintained within the normal range, it indicates that the current treatment pressure setting cannot meet the user's needs. The statistical characteristics of sleep-related respiratory events are related to the SNI and FL indices. Understandably, if snoring and airflow limitation events occur during sleep apnea machine use, it indicates that the current treatment pressure setting cannot meet the user's needs.

[0061] The statistical characteristics of minimum therapeutic pressure are related to the minimum therapeutic pressure. Understandably, if during a sleep therapy phase, most of the therapeutic pressure (P50) is significantly higher than the set minimum therapeutic pressure, it indicates that the current minimum therapeutic pressure is too low. The statistical characteristics of maximum therapeutic pressure are related to the maximum therapeutic pressure. Understandably, if during a sleep therapy phase, the therapeutic pressure (P95) is close to the maximum therapeutic pressure, it indicates that the current maximum therapeutic pressure is too low and needs to be increased.

[0062] The first and second statistical characteristics of stage fusion ventilation pressure are related to the reference sleep therapy stage. The sleep therapy status of the reference sleep therapy stage is used as a reference value to evaluate whether there are any abnormalities in the current result. The average value method can also reduce the impact of abnormal values ​​on a certain day.

[0063] Based on the calculation and corresponding explanation of the above-mentioned sleep therapy statistical features, it can be seen that the sleep therapy statistical features in the sleep therapy feature group of the present invention can effectively characterize the corresponding treatment pressure during the user's previous sleep therapy. Therefore, through the sleep therapy statistical features in the sleep therapy feature group, ventilation pressure adjustment and control information can be effectively generated.

[0064] From the above description, the sleep therapy respiratory statistics of the present invention can be obtained. In specific implementation, the above-mentioned sleep therapy statistical characteristics are as follows: The statistical threshold for sleep therapy corresponding to the sleep apnea-hypopnea index feature can be 1. When the result value of the sleep apnea-hypopnea index feature is less than 1, the corresponding pressure adjustment indication state is a depressor indication. When the result value of the sleep apnea-hypopnea index feature is between 1 and 3, the corresponding pressure adjustment indication state is a maintain indication. When the result value of the sleep apnea-hypopnea index feature is greater than 3, the corresponding pressure adjustment indication state is a booster indication.

[0065] The statistical threshold for sleep therapy respiratory events can be 20. When the result value of the sleep therapy respiratory event statistical feature is lower than 20, the corresponding pressure adjustment indication state is a depressor indication. When the result value of the sleep therapy respiratory event statistical feature is between 20 and 40, the corresponding pressure adjustment indication state is a maintain indication. When the result value of the sleep therapy respiratory event statistical feature is greater than 40, the corresponding pressure adjustment indication state is a boost indication.

[0066] The sleep therapy statistical threshold corresponding to the minimum therapeutic pressure statistical feature can be 1.5. When the result value of the minimum therapeutic pressure statistical feature is between 1 and 1.5, the corresponding pressure adjustment indication state is a pressure reduction indication. When the result value of the minimum therapeutic pressure statistical feature is between 1.5 and 2, the corresponding pressure adjustment indication state is a maintenance indication. When the result value of the minimum therapeutic pressure statistical feature is greater than 2, the corresponding pressure adjustment indication state is a pressure increase indication.

[0067] The sleep therapy statistical threshold corresponding to the maximum therapeutic pressure statistical feature can be 0.5. When the result value of the maximum therapeutic pressure statistical feature is below 0.5, the corresponding pressure adjustment indication state is a pressure reduction indication. When the result value of the maximum therapeutic pressure statistical feature is between 0.5 and 0.85, the corresponding pressure adjustment indication state is a maintenance indication. When the result value of the maximum therapeutic pressure statistical feature is greater than 0.85, the corresponding pressure adjustment indication state is a pressure increase indication.

[0068] The sleep therapy statistical threshold corresponding to the first statistical feature of staged fusion ventilation pressure can be 2. When the result value of the first statistical feature of staged fusion ventilation pressure is below 2, the corresponding pressure adjustment indication state is depressurization indication. When the result value of the first statistical feature of staged fusion ventilation pressure is between 2 and 4, the corresponding pressure adjustment indication state is maintenance indication. When the result value of the first statistical feature of staged fusion ventilation pressure is greater than 4, the corresponding pressure adjustment indication state is pressurization indication.

[0069] The sleep therapy statistical threshold corresponding to the second statistical feature of staged fusion ventilation pressure can be 2. When the result value of the second statistical feature of staged fusion ventilation pressure is below 2, the corresponding pressure adjustment indication state is a depressurization indication. When the result value of the second statistical feature of staged fusion ventilation pressure is between 2 and 4, the corresponding pressure adjustment indication state is a maintenance indication. When the result value of the second statistical feature of staged fusion ventilation pressure is greater than 4, the corresponding pressure adjustment indication state is a pressurization indication.

[0070] It should be understood that when the statistical characteristics of sleep therapy are other than those described above, the corresponding statistical threshold for sleep therapy can be obtained by referring to the above description, and the corresponding pressure adjustment indication state can be determined. Specific situations will not be listed here.

[0071] When the number of statistical features for sleep therapy is 6, and the number is dominant, in one embodiment of the present invention, when the number of pressure adjustment indication states corresponding to the pressure increase indication is not less than 3, the pressure adjustment direction of the ventilation adjustment control information is to increase the ventilation pressure. When the number of pressure adjustment indication states corresponding to the pressure reduction indication is not less than 3, the pressure adjustment direction of the generated ventilation adjustment control information is to reduce the ventilation pressure. When the number of pressure adjustment indication states corresponding to the pressure boosting indication and the number of pressure adjustment index states corresponding to the pressure depressurization indication are both 3, or when the number of pressure adjustment indication states corresponding to the pressure holding indication is not less than 3, the pressure regulation direction for generating ventilation adjustment control information is ventilation pressure holding.

[0072] In specific implementation, when the number of pressure adjustment indication states corresponding to the pressure increase indication is dominant, this includes: when the number of pressure adjustment indication states corresponding to the pressure increase indication is not less than 3; alternatively, it can also be: the number of pressure adjustment indication states corresponding to the pressure increase indication is 3, but the number of pressure adjustment indication states corresponding to the pressure decrease indication is less than 3. Other dominant situations can be referred to here for explanation. When the number of sleep therapy statistical features is other, this explanation can be referred to here to determine the dominant situation.

[0073] In one embodiment of the present invention, when the pressure regulation direction of the ventilation adjustment control information is an increase in ventilation pressure, then: Obtain the pressure adjustment indication status corresponding to the minimum treatment pressure statistical characteristics and the first statistical characteristics of the stage fusion ventilation pressure. When at least one pressure adjustment indication status is a pressure increase indication, the set minimum treatment pressure used in the baseline sleep treatment stage is increased by a preset first pressure increase step size to generate the expected minimum treatment pressure for the next stage. Otherwise, the set minimum treatment pressure configuration used in the baseline sleep treatment stage is used as the expected minimum treatment pressure for the next stage. Obtain the pressure adjustment indication status corresponding to the statistical characteristics of the maximum therapeutic pressure and the second statistical characteristics of the stage fusion ventilation pressure. When at least one pressure adjustment indication status is a pressure increase indication, increase the set maximum therapeutic pressure used in the baseline sleep therapy stage by a preset second pressure increase step size to generate the expected maximum therapeutic pressure for the next stage; otherwise, use the set maximum therapeutic pressure configuration used in the baseline sleep therapy stage as the expected maximum therapeutic pressure for the next stage.

[0074] In practice, both the first and second preset pressure increment steps can be 0.5 cmH2O (cm water column). It is understood that once the minimum and maximum treatment pressures are determined, pressure adjustments can be made to obtain the expected minimum and maximum treatment pressures for the next stage.

[0075] In one embodiment of the present invention, when adjusting the treatment pressure, if the pressure adjustment direction of the ventilation adjustment control information is a decrease in ventilation pressure, then: Obtain the pressure adjustment indication status corresponding to the minimum treatment pressure statistical characteristics and the first statistical characteristics of the stage fusion ventilation pressure. When at least one pressure adjustment indication status is a pressure reduction indication, the set minimum treatment pressure used in the baseline sleep treatment stage is reduced by a preset first pressure reduction step size to generate the expected minimum treatment pressure for the next stage. Otherwise, the set minimum treatment pressure configuration used in the baseline sleep treatment stage is used as the expected minimum treatment pressure for the next stage. Obtain the pressure adjustment indication status corresponding to the statistical characteristics of the maximum therapeutic pressure and the second statistical characteristics of the stage fusion ventilation pressure. When at least one pressure adjustment indication status is a pressure reduction indication, the set maximum therapeutic pressure used in the baseline sleep treatment stage is reduced by a preset second pressure reduction step size to generate the expected maximum therapeutic pressure for the next stage. Otherwise, the set maximum therapeutic pressure configuration used in the baseline sleep treatment stage is used as the expected maximum therapeutic pressure for the next stage.

[0076] In practice, the preset first pressure reduction step and the preset second pressure reduction step can also be 0.5 cmH2O (cm water column). The method of adjusting the pressure reduction can be referred to the corresponding instructions above, which will not be repeated here.

[0077] In one embodiment of the invention, real-time pressure regulation is further performed during the baseline sleep therapy phase and / or the next sleep therapy phase, wherein, When implementing real-time pressure control, the following are included: During the current sleep therapy phase, monitor the current treatment breathing data within the target time window, and calculate the corresponding sleep state value based on the monitored current treatment breathing data; Based on the calculated sleep state values, a real-time pressure adjustment reference value is generated. Based on real-time pressure adjustment reference values, the current treatment pressure of the current sleep therapy stage is adjusted to generate temporary treatment pressure that can improve the effectiveness and comfort of sleep therapy.

[0078] The above provides an example of setting the desired ventilation pressure state for the next sleep therapy stage. It is understood that different breathing phenomena may occur during the corresponding sleep therapy stages in the baseline and next sleep therapy stages, affecting the effectiveness and comfort of the sleep therapy. To improve the effectiveness and comfort of the corresponding sleep therapy stages in the baseline and next sleep therapy stages, real-time pressure regulation can be performed during these stages.

[0079] When performing real-time pressure control, a target time window should be configured. The target time window is a time interval, such as one hour, meaning the time interval between the start and end of the window is one hour. It should be noted that the sleep therapy session should first pass through one target time window before real-time pressure control is performed. For example, if the target time window is one hour, pressure control can only be implemented one hour after the start of sleep therapy. The target time window can be selected as needed. As sleep therapy progresses, a sliding window method is used to select the corresponding target time window. The time interval between adjacent target time windows is the sliding window step size, which can be 10 minutes. For example, from the start of sleep therapy to one hour of sleep therapy, the first target time window can be obtained. Subsequently, from 10 minutes to the 70th minute of sleep therapy, the second target time window can be obtained. Other target time windows can be referenced here and will not be illustrated further.

[0080] It is understandable that the current sleep therapy stage is the stage of implementing real-time pressure regulation; that is, the current sleep therapy stage can be the baseline sleep therapy stage or the next sleep therapy stage. Once the target time window is determined, the current treatment respiratory data within the target time window can be monitored. The details of the current treatment respiratory data can be found in the following explanations. Based on the monitored current treatment respiratory data, the sleep state value can be calculated.

[0081] In one embodiment of the present invention, calculating the sleep state value includes:

[0082] in, This is a value indicating the sleep state. , , All are coefficients. The average humidity within the target time window. The average inspiratory time within the target time window. Due to the current treatment pressure, Specify the minimum treatment pressure for the current treatment phase. Specify the maximum treatment pressure for the current treatment phase.

[0083] As explained in the above formula for calculating sleep state values, the current therapeutic respiratory data can include the average tidal volume and average inspiratory time within the target time window. Once the target time window is determined, the average tidal volume and average inspiratory time within the target time window can be obtained within the sleep apnea machine. The specific method for obtaining the average tidal volume and average inspiratory time can be consistent with existing technologies. In addition, the current therapeutic pressure can also be directly obtained from the sleep apnea machine.

[0084] If the current treatment stage is the baseline sleep therapy stage, the specified minimum treatment pressure for the current treatment stage is the minimum specified pressure described above. If the current treatment stage is the next sleep therapy stage, the specified minimum treatment pressure for the current treatment stage is the expected minimum treatment pressure for the next stage as described above. For the specified maximum pressure for the current treatment stage, please refer to the corresponding explanation of the specified minimum treatment pressure for the current treatment stage here, which will not be repeated here. Furthermore, if the sleep apnea machine is operating in constant treatment pressure mode, the specified maximum treatment pressure for the current treatment stage should be the constant treatment pressure plus 3 treatment pressure units, and the specified minimum treatment pressure for the current treatment stage can be the constant treatment pressure minus 3 treatment pressure units.

[0085] In practical implementation, the coefficient ,coefficient ,coefficient Generally, it can be an empirical value or determined through data fitting and other methods. The specific determination method is consistent with existing technology and will not be elaborated here.

[0086] As explained above, after calculating the sleep state value, a real-time pressure adjustment reference value can be calculated. In one embodiment of the present invention, when calculating and generating the real-time pressure adjustment reference value, the following is true:

[0087] in, To adjust the reference value for pressure in real time, , All are coefficients. The in-window AHI index within the target time window. The number of snoring sounds occurring within the target time window. The number of times airflow limitation occurs within the target time window; Based on the real-time pressure adjustment reference value, temporary pressure adjustment control information is generated; Based on temporary pressure adjustment control information, the current therapeutic pressure is adjusted to generate temporary therapeutic pressure that can improve the effectiveness and comfort of sleep therapy.

[0088] In practical implementation, the coefficient With coefficient All values ​​can be set to 0.5. Of course, other empirical values ​​can also be used, which will not be elaborated here. Based on the current treatment respiratory data within the target time window, the AHI index, the number of snoring events, and the number of airflow limitation events within the target time window can be determined. The specific determination method can be consistent with existing technologies, which will not be elaborated here.

[0089] The calculated real-time pressure adjustment reference value is compared with the pressure adjustment threshold to generate temporary pressure adjustment control information. This temporary pressure adjustment control information can refer to the ventilation pressure adjustment control information mentioned above. Subsequently, the current treatment pressure can be adjusted to generate a temporary treatment pressure. Generally, the temporary treatment pressure may include a temporary minimum treatment pressure and / or a temporary maximum treatment pressure. The following is an example illustrating the generation of temporary treatment pressure: Sleep state values ​​are generally between 0 and 1. The higher the sleep state value, the more pressure needs to be increased. A sleep state value between 0 and 0.7 is considered normal, while a sleep state value between 0.7 and 1 indicates poor sleep state during sleep therapy.

[0090] When calculating the real-time pressure adjustment reference value using the above method, if the real-time pressure adjustment reference value is 0-2, the current treatment pressure will be reduced by 1 cmH2O; if the real-time pressure adjustment reference value is 2-4, the current treatment pressure will be reduced by 0.5 cmH2O; and if the real-time pressure adjustment reference value is 4-8, the current treatment pressure will be maintained. When the real-time pressure adjustment reference value is 8-17, the current treatment pressure will be increased by 0.5 cm water column. When the real-time pressure adjustment reference value is 17-27, the current treatment pressure will be increased by 1 cm water column. When the real-time pressure adjustment reference value is 27-37, the current treatment pressure will be increased by 1.5 cm water column. When the real-time pressure adjustment reference value is above 37, the current treatment pressure will be increased by 2 cm water column.

[0091] It should be noted that if the sleep apnea machine is a single-level sleep apnea machine and is operating in continuous positive airway pressure (CPAP) mode, then the current treatment pressure mentioned above is the corresponding working treatment pressure. When the sleep apnea machine has both minimum and maximum treatment pressure modes, then the above adjustment mainly adjusts the minimum treatment pressure to obtain the corresponding temporary minimum treatment pressure. When adjusting the maximum therapeutic pressure, after a prolonged period of normal breathing (e.g., 10 minutes), the maximum therapeutic pressure can be decreased by 0.5 cmH2O, followed by another 0.5 cmH2O after a period of time, with a maximum decrease of 3 cmH2O. It will not drop below the minimum therapeutic pressure. However, if an event occurs, the pressure will increase by 0.5 cmH2O, forming a corresponding temporary maximum therapeutic pressure. It should be noted that the "normal state" here generally refers to a state where no respiratory events occur during sleep apnea, and both tidal volume and inspiratory events are normal. In other words, the meaning of "normal state" is consistent with the common understanding of normal conditions in this technical field, and will not be elaborated further here.

[0092] The aforementioned current treatment pressure corresponds to each target time window. For example, after a target time window, the treatment pressure can be adjusted for subsequent sessions. As the target time windows continuously shift, the treatment pressure within the current sleep therapy phase can be dynamically adjusted in real time. Furthermore, real-time pressure adjustment only exists during the current sleep therapy phase and will not carry over to the next treatment session.

[0093] Figure 2 The figure illustrates an embodiment of real-time pressure adjustment in Continuous Positive Airway Pressure (CPAP) mode. In the figure, the x-axis represents time, and the y-axis represents the real-time treatment pressure during sleep apnea machine operation. The initial treatment pressure of the sleep apnea machine is 4 cmH2O. After the sleep apnea machine has been running for a period of time, various respiratory events occur, including airflow limitation events (FL), obstructive sleep apnea events (OSA), and snoring events (SN). Based on the real-time pressure adjustment reference value calculated above, it is determined that the current treatment pressure cannot maintain treatment effectiveness and comfort. At position ①, the initial treatment pressure (solid line) is increased to become the temporary treatment pressure (dashed line) to improve treatment effectiveness. Even after increasing the pressure, treatment effectiveness is still insufficient. At position ②, the temporary treatment pressure is further increased. This temporary treatment pressure is sufficient for treatment effectiveness. After maintaining this treatment pressure value for a period of time, at position ③, calculations are performed to determine whether the temporary treatment pressure can be reduced based on the current sleep status, thus finding the most suitable temporary treatment pressure.

[0094] Figure 3 This is an example of real-time pressure control in AutoCPAP mode. In the figure, the x-axis represents time, the y-axis represents pressure, the solid line represents the real-time treatment pressure, the lower dashed line represents the temporary minimum treatment pressure, and the upper dashed line represents the temporary maximum treatment pressure. The default minimum treatment pressure of the ventilator is 4 cmH2O, and the maximum treatment pressure is 20 cmH2O. That is, the minimum treatment pressure is set to 4 cmH2O, and the maximum treatment pressure is set to 20 cmH2O.

[0095] At the start of treatment, the treatment pressure was 4 cm of water column. Initially, due to the relatively low minimum treatment pressure, there were more events, causing the treatment pressure to rise rapidly. Once the treatment pressure met the desired therapeutic effect, the number of events decreased, and the treatment pressure gradually decreased. Based on the above calculations, a real-time pressure adjustment reference value was obtained. At position ①, the minimum treatment pressure increased to become the temporary minimum treatment pressure, and the treatment pressure could not be reduced below the temporary minimum treatment pressure. At position ②, based on the real-time pressure adjustment reference value calculated using the above method, it can be seen that the maximum therapeutic pressure should be reduced to the temporary maximum therapeutic pressure. Since no events have occurred for a long time and the sleep state is good, the temporary maximum therapeutic pressure and temporary minimum therapeutic pressure are reduced at positions ③ and ④, respectively. At position ⑤, an event occurs, the temporary minimum therapeutic pressure remains unchanged, while the temporary maximum therapeutic pressure increases. Since there are currently not many related events and the sleep state is relatively stable, only the therapeutic pressure is changed, and the temporary minimum therapeutic pressure value is not modified. The current values ​​of temporary minimum and temporary maximum therapeutic pressure are sufficient to meet the treatment effect.

[0096] In summary, a sleep apnea machine is obtained, wherein the sleep apnea machine uses the above-described dynamic adjustment method for treatment pressure adjustment.

[0097] For details regarding sleep apnea machines and the methods for dynamically adjusting treatment pressure, please refer to the above description; they will not be repeated here.

Claims

1. A method for dynamically adjusting therapeutic pressure suitable for sleep apnea machines, characterized in that, The method for dynamically adjusting treatment pressure includes: At least long-term titration of the sleep apnea machine is performed to generate the desired ventilation pressure state for the next sleep therapy stage after long-term titration, wherein the desired ventilation pressure state includes the desired minimum treatment pressure and / or the desired maximum treatment pressure for the next stage. Long-term titration of sleep apnea machines includes: Obtain sleep therapy breathing statistics for at least two sleep therapy stages, wherein the two sleep therapy stages include at least a baseline sleep therapy stage and a reference sleep therapy stage; Based on the obtained sleep therapy respiratory statistics, a sleep therapy feature group characterizing the sleep therapy state is calculated and generated, wherein the sleep therapy feature group includes several sleep therapy statistical features. Based on the pressure adjustment indication status corresponding to all sleep treatment statistical features within the sleep treatment feature group, ventilation pressure adjustment control information is generated. Based on ventilation pressure adjustment and control information, the minimum and / or maximum treatment pressures used in the baseline sleep therapy phase are adjusted accordingly to generate the desired ventilation pressure state for the next sleep therapy phase.

2. The method for dynamically adjusting therapeutic pressure suitable for sleep apnea machines according to claim 1, characterized in that, When generating ventilation pressure adjustment control information, the following are included: Each sleep therapy statistical feature is compared with the corresponding sleep therapy statistical threshold to generate a pressure adjustment indication state corresponding to each sleep therapy statistical feature. The pressure adjustment indication state includes a pressure increase indication, a pressure hold indication, or a pressure decrease indication. The pressure adjustment indication status corresponding to all statistical characteristics of sleep therapy is statistically analyzed, and ventilation pressure adjustment control information is generated based on the statistical results. If the pressure adjustment indicator status is such that the number of sleep therapy statistical features corresponding to the pressure increase indicator is dominant, then the pressure adjustment direction of the generated ventilation adjustment control information is to increase the ventilation pressure. During treatment pressure adjustment, based on the ventilation adjustment control information of increased ventilation pressure, the set minimum treatment pressure and / or set maximum treatment pressure used in the baseline sleep treatment stage are increased to generate the desired ventilation pressure state for the next sleep treatment stage. If the pressure adjustment indication status is that the number of sleep therapy statistical features corresponding to the pressure reduction indication is dominant, then the pressure adjustment direction of the generated ventilation adjustment control information is to reduce the ventilation pressure. When adjusting the treatment pressure, based on the ventilation adjustment control information of the reduced ventilation pressure, the set minimum treatment pressure and / or set maximum treatment pressure used in the baseline sleep treatment stage are reduced to generate the desired ventilation pressure state for the next sleep treatment stage. If the number of sleep therapy statistical features corresponding to the pressure adjustment indication state of increasing pressure is not greater than the number of sleep therapy statistical features corresponding to the pressure adjustment indication state of decreasing pressure, then the pressure adjustment direction for generating ventilation adjustment control information is ventilation pressure maintenance. When adjusting the treatment pressure, the ventilation adjustment control information based on the ventilation pressure maintenance maintains the minimum and / or maximum treatment pressure used in the baseline sleep treatment phase to generate the desired ventilation pressure state for the next sleep treatment phase.

3. The method for dynamically adjusting therapeutic pressure suitable for sleep apnea machines according to claim 2, characterized in that, The sleep therapy statistical features within the sleep therapy feature group include at least the sleep apnea-hypopnea index, sleep therapy respiratory event statistics, minimum therapeutic pressure statistics, maximum therapeutic pressure statistics, first stage fusion ventilation pressure statistics, and second stage fusion ventilation pressure statistics. Regarding the characteristics of sleep apnea-hypopnea index, we have: in, The characteristics of sleep apnea-hypopnea index are... The average number of pauses and hypopnea per hour during a baseline sleep therapy phase. For coefficients, This represents the average number of pauses and hypoventilations that occurred during all reference sleep therapy phases. Regarding the statistical characteristics of breathing events in sleep therapy, we have: in, Statistical characteristics of breathing events during sleep therapy The average number of snoring sounds per hour during the baseline sleep therapy phase. The average number of airflow limitation episodes per hour during the baseline sleep therapy phase. For coefficients, This represents the average number of snoring events occurring during all reference sleep therapy phases. This represents the average number of airflow limitation events occurring across all reference sleep therapy phases. Regarding the statistical characteristics of minimum therapeutic pressure, we have: in, This represents the statistical characteristics of minimum therapeutic pressure. The 50th percentile of ventilation pressure during the baseline sleep therapy phase. This is the minimum ventilation pressure during the baseline sleep therapy phase; Regarding the statistical characteristics of maximum therapeutic pressure, we have: in, The statistical characteristics of maximum therapeutic pressure This represents the 95th percentile of ventilation pressure during the baseline sleep therapy phase. This represents the maximum ventilation pressure during the baseline sleep therapy phase. For the first statistical characteristic of staged fusion ventilation pressure, we have: in, The first statistical characteristic of staged fusion ventilation pressure is... For reference, the average sleep therapy stage value, For coefficients, For the second statistical characteristic of staged fusion ventilation pressure, we have: in, The second statistical characteristic of staged fusion ventilation pressure. For reference, the average sleep therapy stage , is a coefficient.

4. The method for dynamically adjusting therapeutic pressure suitable for sleep apnea machines according to claim 3, characterized in that, When the number of pressure adjustment indication states corresponding to the pressure boost indication is not less than 3, the pressure adjustment direction of the generated ventilation adjustment control information is to increase the ventilation pressure. When the number of pressure adjustment indication states corresponding to the pressure reduction indication is not less than 3, the pressure adjustment direction of the generated ventilation adjustment control information is to reduce the ventilation pressure. When the number of pressure adjustment indication states corresponding to the pressure boosting indication and the number of pressure adjustment index states corresponding to the pressure depressurization indication are both 3, or when the number of pressure adjustment indication states corresponding to the pressure holding indication is not less than 3, the pressure regulation direction for generating ventilation adjustment control information is ventilation pressure holding.

5. The method for dynamically adjusting therapeutic pressure suitable for sleep apnea machines according to claim 3, characterized in that, When the ventilation adjustment control information is configured to increase ventilation pressure, then: Obtain the pressure adjustment indication status corresponding to the minimum treatment pressure statistical characteristics and the first statistical characteristics of the stage fusion ventilation pressure. When at least one pressure adjustment indication status is a pressure increase indication, the set minimum treatment pressure used in the baseline sleep treatment stage is increased by a preset first pressure increase step size to generate the expected minimum treatment pressure for the next stage. Otherwise, the set minimum treatment pressure configuration used in the baseline sleep treatment stage is used as the expected minimum treatment pressure for the next stage. Obtain the pressure adjustment indication status corresponding to the statistical characteristics of the maximum therapeutic pressure and the second statistical characteristics of the stage fusion ventilation pressure. When at least one pressure adjustment indication status is a pressure increase indication, increase the set maximum therapeutic pressure used in the baseline sleep therapy stage by a preset second pressure increase step size to generate the expected maximum therapeutic pressure for the next stage; otherwise, use the set maximum therapeutic pressure configuration used in the baseline sleep therapy stage as the expected maximum therapeutic pressure for the next stage.

6. The method for dynamically adjusting therapeutic pressure suitable for sleep apnea machines according to claim 3, characterized in that, When adjusting treatment pressure, if the direction of pressure adjustment in the ventilation control information is to decrease the ventilation pressure, then: Obtain the pressure adjustment indication status corresponding to the minimum treatment pressure statistical characteristics and the first statistical characteristics of the stage fusion ventilation pressure. When at least one pressure adjustment indication status is a pressure reduction indication, the set minimum treatment pressure used in the baseline sleep treatment stage is reduced by a preset first pressure reduction step size to generate the expected minimum treatment pressure for the next stage. Otherwise, the set minimum treatment pressure configuration used in the baseline sleep treatment stage is used as the expected minimum treatment pressure for the next stage. Obtain the pressure adjustment indication status corresponding to the statistical characteristics of the maximum therapeutic pressure and the second statistical characteristics of the stage fusion ventilation pressure. When at least one pressure adjustment indication status is a pressure reduction indication, the set maximum therapeutic pressure used in the baseline sleep treatment stage is reduced by a preset second pressure reduction step size to generate the expected maximum therapeutic pressure for the next stage. Otherwise, the set maximum therapeutic pressure configuration used in the baseline sleep treatment stage is used as the expected maximum therapeutic pressure for the next stage.

7. The method for dynamically adjusting therapeutic pressure suitable for sleep apnea machines according to any one of claims 1 to 6, characterized in that, It also includes real-time pressure regulation performed during the baseline sleep therapy phase and / or the next sleep therapy phase, wherein, When implementing real-time pressure control, the following are included: During the current sleep therapy phase, monitor the current treatment breathing data within the target time window, and calculate the corresponding sleep state value based on the monitored current treatment breathing data; Based on the calculated sleep state values, a real-time pressure adjustment reference value is generated. Based on real-time pressure adjustment reference values, the current treatment pressure of the current sleep therapy stage is adjusted to generate temporary treatment pressure that can improve the effectiveness and comfort of sleep therapy.

8. The method for dynamically adjusting therapeutic pressure suitable for sleep apnea machines according to claim 7, characterized in that, When calculating sleep state values, the following are included: in, This is a value indicating the sleep state. , , All are coefficients. The average humidity within the target time window. The average inspiratory time within the target time window. Due to the current treatment pressure, Specify the minimum treatment pressure for the current treatment phase. Specify the maximum treatment pressure for the current treatment phase.

9. The method for dynamically adjusting therapeutic pressure suitable for sleep apnea machines according to claim 8, characterized in that, When calculating and generating the real-time pressure adjustment reference value, we have: in, To adjust the reference value for pressure in real time, , All are coefficients. The in-window AHI index within the target time window. The number of snoring sounds occurring within the target time window. The number of times airflow restriction occurs within the target time window; Based on the real-time pressure adjustment reference value, temporary pressure adjustment control information is generated; Based on temporary pressure adjustment control information, the current therapeutic pressure is adjusted to generate temporary therapeutic pressure that can improve the effectiveness and comfort of sleep therapy.

10. A sleep apnea machine, characterized in that, The sleep apnea machine uses the dynamic adjustment method for treatment pressure according to any one of claims 1 to 9 to adjust the treatment pressure.

Images