CN118161335A

CN118161335A - Snore relieving equipment and parameter adjustment method

Info

Publication number: CN118161335A
Application number: CN202410305256.7A
Authority: CN
Inventors: 楚亚卿; 蒋晟; 邓顺文
Original assignee: Carewell Suzhou Technology Co ltd
Current assignee: Carewell Suzhou Technology Co ltd
Priority date: 2023-07-03
Filing date: 2023-07-03
Publication date: 2024-06-11
Anticipated expiration: 2043-07-03
Also published as: CN116712243A; CN118161335B; CN116712243B

Abstract

The embodiment of the specification provides snore stopping equipment and a parameter adjusting method, wherein the equipment comprises a processor, and a snore stopping component, a supporting component and a fixing component which are in communication connection with the processor; the snore relieving component comprises a sound detection component, a negative pressure generation component and a driving component, wherein the negative pressure generation component acts on a target part of a user, so that a respiratory tract at the target part is opened under the action of negative pressure, and the driving component is used for driving the negative pressure generation component to generate negative pressure; the sound detection component is used for acquiring sound data; the support component is connected with the snore stopping component and is used for attaching the snore stopping component to a target part; the fixing component is connected with the supporting component and used for fixing the supporting component; the processor is configured to: determining a control instruction, wherein the control instruction comprises an operation parameter of the driving assembly; identifying a target sound from the sound data, and determining the sound intensity of the target sound; the operating parameters of the drive assembly are adjusted based on the intensity of sound or the user treatment level.

Description

Snore relieving equipment and parameter adjustment method

Description of the division

The application aims at the application date 2023, 07 and 03, and the application number is as follows: 202310800194.2A Chinese application entitled "an anti-snore device and control method" filed by the applicant of China.

Technical Field

The specification relates to the technical field of medical equipment, in particular to snore stopping equipment and a parameter adjusting method.

Background

Obstructive sleep apnea-hypopnea syndrome (OSA) is a sleep respiratory disorder of unknown etiology, and the clinical manifestations include nocturnal sleep snoring with apnea, which can cause a variety of diseases, even nocturnal sudden death, and the traditional device for treating snoring is Continuous Positive Airway Pressure (CPAP). This mode will produce a constant airflow. The pressurized airflow enters the nose (or mouth) and creates a flow of air that keeps the throat open to prevent laryngeal tissue from occluding the airway. Thus eliminating snoring caused by obstructive sleep apnea. Although the system can greatly reduce the OSA symptoms, the system can increase the burden of users in terms of use and operation, such as the need of wearing the mask for sleeping every night, the need of cleaning and sterilizing the pipeline mask regularly, inconvenient carrying in business trip, and the like, and the system is easy to fall off in the sleeping process to cause treatment interruption.

In order to solve the problem that the equipment is inconvenient to use, the CN103976813B provides an intelligent snore stopping device and a snore stopping method thereof. By judging the collected sound signals, a stimulating operation is adopted to detect the body position change of the human body. However, such a method is too much stimulated to affect the sleeping posture of the sleeper, which has a certain influence on the sleeping quality.

Therefore, it is desirable to provide a snore stopping device and a parameter adjusting method, which can properly expand the breathing channel of a user by using a flexible negative pressure component to act on the neck of the user, so as to achieve the snore stopping effect, avoid excessive stimulation to a target object, and ensure the sleeping quality of the user while stopping the snore.

Disclosure of Invention

One of the embodiments of the present specification provides a snore stopping device, which is characterized in that the snore stopping device comprises a processor, and a snore stopping component, a supporting component and a fixing component which are in communication connection with the processor; the snore relieving component at least comprises a sound detection component, a negative pressure generation component and a driving component, wherein the negative pressure generation component acts on a target part of a user, so that a respiratory tract at the target part is opened under the action of negative pressure, and the driving component is used for driving the negative pressure generation component to generate negative pressure; the sound detection component is used for acquiring sound data; the support component is connected with the snore stopping component and is used for attaching the snore stopping component to the target part; the fixing component is connected with the supporting component and used for fixing the supporting component; the processor is configured to: determining a control instruction, the control instruction comprising an operating parameter of the drive assembly; identifying a target sound from the sound data, and determining the sound intensity of the target sound; adjusting the operating parameter of the drive assembly based on the sound intensity or user treatment level; the adjusting amplitude of the operating parameter of the driving assembly is adjusted and corrected based on the collection frequency of the sound detection assembly, and the collection frequency is determined based on the sound intensity and the residual electric quantity of the power supply.

One embodiment of the specification provides a parameter adjustment method of snore relieving equipment, which is characterized in that the snore relieving equipment comprises a processor, and a snore relieving component, a supporting component and a fixing component which are in communication connection with the processor; wherein, the snore relieving component at least comprises a sound detection component, a negative pressure generation component and a driving component, and the method is executed by a processor and comprises the following steps: determining a control instruction, the control instruction comprising an operating parameter of the drive assembly; identifying a target sound from the sound data, and determining the sound intensity of the target sound; adjusting the operating parameter of the drive assembly based on the sound intensity or user treatment level; the adjusting amplitude of the operating parameter of the driving assembly is adjusted and corrected based on the collection frequency of the sound detection assembly, and the collection frequency is determined based on the sound intensity and the residual electric quantity of the power supply.

Drawings

The present specification will be further elucidated by way of example embodiments, which will be described in detail by means of the accompanying drawings. The embodiments are not limiting, in which like numerals represent like structures, wherein:

FIG. 1 is a schematic illustration of a snore stopping device according to some embodiments of the present disclosure;

FIG. 2 is a schematic diagram of a method of controlling a snore relieving device according to some embodiments of the present disclosure;

FIG. 3 is an exemplary diagram illustrating a method of adjusting operating parameters based on sound intensity according to some embodiments of the present disclosure;

FIG. 4 is a schematic illustration of adjusting operating parameters based on pressure data, as shown in some embodiments of the present disclosure;

FIG. 5 is a schematic diagram of an execution model shown in accordance with some embodiments of the present description.

Detailed Description

In order to more clearly illustrate the technical solutions of the embodiments of the present specification, the drawings that are required to be used in the description of the embodiments will be briefly described below. It is apparent that the drawings in the following description are only some examples or embodiments of the present specification, and it is possible for those of ordinary skill in the art to apply the present specification to other similar situations according to the drawings without inventive effort. Unless otherwise apparent from the context of the language or otherwise specified, like reference numerals in the figures refer to like structures or operations.

It will be appreciated that "system," "apparatus," "unit" and/or "module" as used herein is one method for distinguishing between different components, elements, parts, portions or assemblies at different levels. However, if other words can achieve the same purpose, the words can be replaced by other expressions.

As used in this specification and the claims, the terms "a," "an," "the," and/or "the" are not specific to a singular, but may include a plurality, unless the context clearly dictates otherwise. In general, the terms "comprises" and "comprising" merely indicate that the steps and elements are explicitly identified, and they do not constitute an exclusive list, as other steps or elements may be included in a method or apparatus.

A flowchart is used in this specification to describe the operations performed by the system according to embodiments of the present specification. It should be appreciated that the preceding or following operations are not necessarily performed in order precisely. Rather, the steps may be processed in reverse order or simultaneously. Also, other operations may be added to or removed from these processes.

In the prior art, the conventional snore stopping device generates air flow through a respirator to keep the throat open and prevent the laryngeal tissue from blocking the airway, thereby eliminating snoring symptoms caused by obstructive sleep apnea. However, the breathing machine is large and heavy and is difficult to carry, and the breathing mask needs to be disinfected in time so as to avoid respiratory tract infection. In order to solve the problem of inconvenient use of equipment, CN103976813B provides an intelligent snore stopping device and a snore stopping method thereof. By recognizing surrounding sound or vibration data as preset snore data, a stimulus signal is applied to the human body, so that the user pauses or relieves the snore state. However, the method can affect the sleeping posture of the sleeper due to excessive stimulation, so that the sleeping quality is affected to a certain extent, the user can be even directly awakened, and meanwhile, the method cannot be adaptively adjusted for different sleeping postures of the user.

Aiming at the problems, the specification provides snore stopping equipment and a control method, wherein the flexible negative pressure component is used for acting on the neck of a user, so that the breathing channel of the user is properly expanded, the airflow is prevented from being blocked, the snore stopping effect is achieved, the user is prevented from being excessively stimulated, and the sleeping quality of the user can be ensured. In daily life, the device can be flexibly applied to different scenes of living at home, traveling and the like.

Fig. 1 is a schematic illustration of a snore stopping device according to some embodiments of the present description.

As shown in fig. 1, the snore stopping device 100 can include a snore stopping component 110, a support component 120, a fixing component 130, a processor 140, and a power source 150.

The snore relieving part 110 is a part for performing a snore relieving operation. In some embodiments, the anti-snoring assembly comprises at least a drive assembly and a negative pressure generating assembly 111.

The driving component is a component for driving the generation of negative pressure. The driving component is used for driving the negative pressure generating component to generate negative pressure.

The negative pressure generating component 111 is a component for generating negative pressure. The negative pressure generating assembly acts on a target site of a user such that the airway at the target site is opened under negative pressure to prevent airflow obstruction. By way of example only, the negative pressure generating assembly may be a miniature air pump (e.g., a piezoelectric ceramic pump), and when the snore stopping device begins to operate, the driving assembly drives the miniature air pump of the negative pressure generating assembly to begin to operate, providing a negative pressure environment required for snoring stopping, wherein the miniature air pump may be provided with a silencing structure and/or a silencing component to reduce noise and vibration during operation thereof. In some embodiments, the negative pressure generating assembly is disposed inside the anti-snore feature for portability and use.

In some embodiments, the anti-snore feature 110 further includes a temperature control device. The temperature control device is a device for adjusting the temperature, and in some embodiments, the temperature control device can stretch the neck muscles of the user in a heating or cooling manner to assist in stopping snoring.

In some embodiments, the snore stopping assembly 110 further comprises a sound detection assembly. The sound detection component can be used to obtain sound data.

In some embodiments, the anti-snore feature 110 further includes a pressure detection assembly. The pressure sensing assembly may be used to acquire pressure data.

The support component 120 is connected with the snore stopping component and is used for attaching the snore stopping component to a target part. The support 120 may help the anti-snore feature to conform to the skin of the person and may be personalized based on user data.

The fixing member 130 is coupled to the supporting member for fixing the supporting member. The fixing component 130 can prevent the snore stopping device from loosening or sliding down, and assist in snore stopping treatment.

In some embodiments, the support member 120 and the securing member 130 may be flexible materials that are joined to form a flexible cavity. When the user uses the snore relieving equipment, the edge of the flexible cavity is tightly attached to the neck and the lower jaw of the user to form a sealing environment, after the negative pressure generating assembly starts to work, the sealing environment gradually becomes a negative pressure cavity to act on the body of the user, so that the respiratory tract is opened and expanded under the action of negative pressure, the respiratory tract is prevented from being blocked, and the snore reducing effect is achieved.

In some embodiments, the snore stopping device further comprises a positioning device. The positioning means may be used to determine a usage scenario. The positioning means may be a device having GPS positioning functionality.

The processor 140 may be configured to determine control instructions including operating parameters of the drive assembly and control the operating state of the anti-snoring element based on the control instructions. In some embodiments, the processor 140 is also capable of storing user data and transmitting the user data to the user terminal over a network. For more on processor functionality see figures 2-5 of the present specification and their associated description.

The power supply 150 may provide power to the snore device and the operation of the snore piece 110, the processor 140, etc. The processor 140 can control the operating state of the snore preventing device by controlling the on or off of the power supply.

In some embodiments, the processor 140 and the power supply 150 may be disposed in the snore relieving component 110 (as shown in fig. 1), or may be disposed in other locations of the snore relieving device, which may be specifically determined according to actual requirements.

Some embodiments of the present disclosure provide a snore stopping device, which is equipped with a support and fixing component in addition to a component for snore stopping treatment, so that the snore stopping component can work stably, and the treatment effect is improved. In addition, through the application of the temperature control device and the positioning device, the use experience of the snore relieving equipment in different application scenes is improved.

It should be noted that the above description of the snore relieving device and its modules is for convenience of description only and is not intended to limit the present disclosure to the scope of the illustrated embodiments. It will be appreciated by those skilled in the art that, given the principles of the system, various modules may be combined arbitrarily or a subsystem may be constructed in connection with other modules without departing from such principles. In some embodiments, the snore relieving component 110, the support component 120, the fixing component 130, the processor 140, and the power supply 150 disclosed in fig. 1 may be different modules in one system, or may be one module to implement the functions of two or more modules. For example, each module may share one memory module, or each module may have a respective memory module. Such variations are within the scope of the present description.

Fig. 2 is a schematic diagram of a method of controlling a snore relieving device according to some embodiments of the present disclosure. As shown in fig. 2, the snore stopping device control method 200 can include the following.

In some embodiments, the processor may determine control instructions including operating parameters of the drive assembly, and control the operating state of the anti-snoring component based on the control instructions.

In some embodiments, the control instructions may be determined based on system presets or manual entry.

The operating state of the snore relieving component may include at least one of an operating state of the drive assembly and an operating state of the temperature control assembly.

Controlling the operating state of the anti-snoring element may include at least one of adjusting the power of the drive assembly, adjusting the temperature of the temperature control assembly.

In some embodiments, the processor may also control a temperature control device to assist in stopping snoring by adjusting the temperature.

In some embodiments, the temperature control device may adjust the temperature through an onboard heating and cooling tube. The temperature control device can also acquire the temperature of the target part through the sensor.

In some embodiments, the temperature control device may acquire muscle related data of the user's target site via an on-board sensor. Such as the extent of stretching of the muscles, etc. The temperature control device can stretch the neck muscles of the user in a temperature adjusting mode to assist in stopping snoring.

In some embodiments of the present disclosure, the snore stopping component includes a temperature control device, and the temperature control device can stretch the neck muscle of the user in a temperature adjustment manner, so as to assist in snore stopping while reducing the stimulation to the user, and improve the user experience and the snore stopping effect.

In some embodiments, the processor may further determine a usage scenario based on the positioning device, determine a user treatment level based on the usage scenario and the user data, and determine an initial operating parameter of the drive device based on the user treatment level.

The usage scenario may refer to a scenario in which the snore stopping device is used. The usage scenario may be home or off-site.

In some embodiments, the processor may determine the usage scenario through a pointing device or user entry. For example, a user may enter a home location into the system. For another example, when the location of the usage scenario is a location point whose distance from the home location is greater than a preset threshold, the usage scenario may be determined to be a foreign location. Different usage scenarios, snoring conditions of the user are different.

User data refers to data related to the body of the user. The user data may include physical data (e.g., height, weight), severity of snoring, type of complications (e.g., hypertension, cardiovascular disease, etc.) of the user, and the like.

In some embodiments, the processor may determine the user data based on acquiring user input.

The user treatment level may refer to a treatment regimen that is applicable to the user. The more severe the snoring situation of the user, the stronger the snoring stopping requirement, and the higher the corresponding treatment level. When the use scene is the foreign land, the user may be on business trip and traveling, and the user is often tired, the snoring condition can be relatively serious, and the treatment level of the user can be higher at the same time.

In some embodiments, the processor may determine the user's treatment level based on the user feature vector retrieving in the treatment level vector database. Where a user feature vector may refer to a vector characterizing the user's own features, it may typically be obtained based on the user's personalized data. For example, the processor may determine the user feature vector based on data related to the user's own body, such as shape data, snore severity, type of complications, usage scenario, and the like.

In some embodiments, the treatment level vector database may include at least one reference user feature vector and its corresponding reference treatment level. The treatment level vector database may be constructed based on historical data, wherein each reference user feature vector may be determined based on historical shape data, historical snoring severity, historical complications, and historical usage scenarios of the historical user, and its corresponding reference treatment level of the historical user may be determined based on the historical treatment data.

In some embodiments, the processor may calculate a similarity between the user feature vector and at least one reference user feature vector, determine the reference user feature vector meeting the preset condition as the target feature vector, and use the reference treatment level corresponding to the target feature vector as the treatment level of the user. The preset condition may be that a distance between the user feature vector and the reference user feature vector is less than a distance threshold, which may be determined empirically.

In some embodiments, the processor may determine the initial operating parameters of the drive device based on a preset relationship table of user treatment levels and initial operating parameters of the drive device. The preset relationship table may be determined based on historical data or human experience.

In some embodiments of the present disclosure, the snore relieving device may determine, through a use scenario of a user, a treatment mode of the user and an operation parameter of the device, thereby increasing an application scenario of the device, adaptively adjusting the device according to different use requirements and treatment requirements, and improving a snore relieving effect of the device.

In some embodiments, the processor may also adjust the operating parameters of the drive assembly based on the sound schedule and/or pressure monitoring data of the target sound, as described in more detail herein with reference to fig. 3-5 and related descriptions.

The snore stopping device related in some embodiments of the present disclosure includes a snore stopping component, a fixing component and a supporting component, so that the device use experience of a user is improved to a greater extent, and the snore stopping effect of the device can be improved. Meanwhile, the temperature control device and the positioning device increase the application scene of the equipment, and can be used for adjusting the adaptability of the equipment according to the individual condition of the user more humanizedly.

FIG. 3 is a schematic diagram of a method of adjusting operating parameters based on sound intensity according to some embodiments of the present description. In some embodiments, the process 300 may be performed by a processor. As shown in fig. 3, the flow 300 may include at least steps 310, 320, and 330.

In step 310, sound data is acquired, a target sound is identified from the sound data, and the sound intensity of the target sound is determined.

The sound data refers to the sound data of the environment in which the snore relieving component is located. The sound data may include sound data of a user, other sound data other than a person, and the like. The voice data of the user may include speaking voice data of a speaker, snore data, etc.

In some embodiments, the processor may obtain sound data based on the sound detection component. The processor may be based on retrieving sound data from other storage devices in which the sound data is stored.

The target sound refers to data related to snoring of the user. For example, the target sound may include snore data.

In some embodiments, the processor may extract the target sound in the sound data based on using an audio classification algorithm, determine whether the user is snoring based on voiceprint recognition of the target sound with snore data pre-entered by the user, the audio classification algorithm may include a decision tree method, a hidden markov model method, and the like.

In some embodiments, the processor may process the target sound based on the snore intensity determination model to determine the sound intensity of the target sound.

In some embodiments, the snore intensity determination model may be a machine learning model such as a neural network model.

In some embodiments, the input of the snore intensity determination model may comprise a target sound and the output of the snore intensity determination model may comprise a sound intensity of the target sound. The sound intensity of the target sound may include the magnitude of snoring decibels, the type of snoring, etc., and the type of snoring may include uneven snoring, uniform snoring, etc. Wherein the sound intensity of the non-uniform snoring is greater than the sound intensity of the uniform snoring.

In some embodiments, the snore intensity determination model may be trained from a plurality of first training samples with first labels. In some embodiments, the first training sample may include a sample target sound, and the first training sample may be acquired through historical data. In some embodiments, the first label may be a sound intensity of an actual target sound corresponding to the first training sample, and the first label may be determined by the processor or by human labeling. For example, the target sound may be analyzed manually based on the size of the snore, the type of snore (uniform snoring, non-uniform snoring), etc., to obtain a sound intensity label of the target sound.

In some embodiments, the processor may determine the acquisition frequency of the sound detection assembly based on the sound intensity of the target sound, the remaining power of the power supply.

The residual electric quantity of the power supply refers to the residual capacity of an energy storage device such as a storage battery of the snore relieving equipment after a certain time of use.

The collection frequency refers to the frequency of sound data collected by the sound detection assembly. For example, the acquisition frequency may be the number of times the sound detection assembly acquires sound data over a period of time. The sound detection component can detect sound data in a periodically continuous collection. Wherein, periodic continuous acquisition refers to continuous acquisition performed once every interval of time. For another example, the sound detection component can detect sound data using an interval acquisition approach.

In some embodiments, the processor may determine the acquisition frequency of the sound detection assembly in a variety of ways. For example, the processor may obtain an initial acquisition frequency of the sound detection assembly, adjust the initial acquisition frequency based on a magnitude of change in sound intensity, a remaining power of the power supply, and determine a current acquisition frequency. The initial acquisition frequency may be a default set parameter. For another example, the initial acquisition frequency may also be provided by the manufacturer of the anti-snore feature.

In some embodiments, the processor may preset the correspondence between the variation amplitude of the different sound intensities, the remaining power of the power supply and the frequency adjustment value of the initial acquisition frequency. The control system may determine a frequency adjustment value based on the magnitude of the change in the sound intensity, the remaining power of the power supply, and adjust the initial acquisition frequency based on the frequency adjustment value.

In some embodiments, the adjustment to the initial acquisition frequency may be positively correlated to the remaining power of the power supply. For example, when the remaining power of the power supply is below the first power threshold, the processor may adjust the acquisition frequency of the sound detection device to a lower level. The first power threshold may be based on experience or system presets.

In some embodiments, the adjustment of the initial acquisition frequency may be positively correlated with the magnitude of the change in the sound intensity of the target sound. For example, when the magnitude of the change in the sound intensity of the target sound is below a sound threshold, the processor may adjust the acquisition frequency of the sound detection device to a lower level. The sound threshold may be based on experience or system presets.

In some embodiments, when the change amplitude of the target sound is larger and the remaining power of the power supply is lower, the processor may directly adjust the initial acquisition frequency based on the remaining power of the power supply. For example, the determination may be made by looking up a low battery sampling frequency look-up table based on the remaining power of the power supply, which may be determined based on historical experience.

According to some embodiments of the present disclosure, the collection frequency of the sound detection device is determined based on the snore data and the power supply electric quantity allowance, so that the power utilization rate of the portable snore relieving device can be improved, the electric quantity can be saved, and the service time of the snore relieving device can be prolonged.

In some embodiments, the acquisition frequency may be used to modify the amplitude of the adjustment drive assembly operating parameters.

In some embodiments, the processor may reduce the power adjustment value of the drive assembly operating power when reducing the acquisition frequency of the sound detection assembly. The power adjustment value is a value for adjusting the operation power of the driving assembly.

In some embodiments, the processor may preset a correspondence between a reduced value of the acquisition frequency and a correction value of the operating power, determine the correction value of the operating power by means of a table look-up, and reduce the amplitude of the operating parameter of the adjustment drive assembly based on the correction value of the operating power.

The correction value is a value for correcting an adjustment value of the operating power of the drive unit. The reduced value of the acquisition frequency refers to a value at which the current acquisition frequency is reduced relative to the previous acquisition frequency.

In some embodiments of the present disclosure, the collection frequency affects the accuracy of the adjustment of the operation parameter of the driving component, so that the reduction of the collection frequency may be avoided by performing the secondary fine adjustment on the amplitude of the operation parameter of the adjustment driving component by the reduction of the collection frequency, which may result in the degradation of the accuracy of the sound data.

Step 320 adjusts the operating parameters of the drive assembly based on the sound intensity.

In some embodiments, the processor may adjust the operating parameters of the drive assembly in a variety of ways based on the sound intensity of the target sound. Wherein the operating parameter of the drive assembly may comprise operating power. For example, the processor may establish a comparison table of the corresponding relationship between the sound intensities of different target sounds and the standard operating power of the driving component, determine the standard operating power of the driving component by using a table look-up method, and adjust the operating power of the driving component based on the standard operating power and the current operating power. Wherein, the comparison table can be preset and set according to experience. The standard operation power refers to a preset output power corresponding to the sound intensity of the target sound. The current operating power refers to the output power at which the drive assembly is operating at the current time.

In some embodiments, the processor may take the standard operating power as the current operating power when it is determined that the standard operating power is greater than the current operating power.

In some embodiments, the processor may determine a difference between the standard operating power and the current operating power when the standard operating power is less than the current operating power, and reduce the current operating power when the difference is greater than a preset threshold. The preset threshold value can be a default value of the system or a manually set value; if the difference is smaller than the preset threshold, the current running power is maintained.

In some embodiments, the processor may reduce the current operating power in a number of ways. The current operating power is reduced in a similar manner as described below with respect to fig. 2.

Step 330 adjusts the operating parameters of the drive assembly based on the user treatment level.

In some embodiments, the processor may adjust the operating parameters of the drive assembly in a variety of ways based on the user treatment level. For example, the corresponding relation between different user treatment grades and treatment coefficients is preset, and the treatment coefficients are determined based on a table look-up mode. The treatment coefficient refers to an adjustment coefficient matched with the treatment level of the user, and is used for determining the adjusted running power.

In some embodiments, the treatment coefficient may be a constant of 1 when the treatment level of the user is less than the treatment threshold; when the user's treatment level is greater than the treatment threshold, the treatment coefficient may be a value greater than 1. The treatment threshold may be a system default or a manually preset value.

In some embodiments, the processor may increase the current operating power based on the treatment factor and determine the increased operating power as the adjusted operating power when the treatment level of the user is greater than a preset threshold. For example, power up value= (standard operating power-current operating power) ×treatment coefficient. For example, the adjusted operating power may be determined based on a product of the standard operating power and the treatment coefficient.

In some embodiments, the processor may calculate a power reduction value based on the treatment coefficient when the treatment level of the user is less than a preset threshold, and adjust the operating power based on the power reduction value. The power reduction value may be determined based on the current operating power, the standard operating power, a preset threshold. For example, power reduction value= (current operating power-standard operating power-preset threshold value)/treatment coefficient.

The aforementioned preset threshold may be set in a variety of ways. For example, based on user actual demand settings, based on historical experience settings, etc.

According to the embodiments of the specification, different adjustment degrees are determined through the treatment grade of the user, so that the operation parameters of the adjusted driving assembly are more in line with the actual conditions of the user, and the experience of the user is further improved.

In some embodiments, the processor may determine the preferred operating power of the drive assembly by executing the model based on the user data and the sound data for the at least one point in time in response to the sound detection assembly detecting the sound data. For more on determining the preferred operating power of the drive assembly by executing the model, see the relevant description of fig. 5.

Some embodiments of the present disclosure adjust the operating parameters of the driving assembly through sound intensity, and may be adjusted according to the sleeping state (e.g., shallow sleep, deep sleep, etc.) of the snorer, so as to achieve the purpose of stopping snoring without affecting the sleeping quality of the snorer.

FIG. 4 is an exemplary schematic diagram illustrating an adjustment of operating parameters based on pressure data according to some embodiments of the present disclosure. In some embodiments, the process 400 may be performed by a processor. As shown in fig. 4, the flow 400 may include at least steps 410 and 420.

In step 410, pressure data is acquired based on the pressure detection device.

Pressure data refers to data relating to the pressure conditions experienced by the anti-snoring device. The pressure data relates to the pressure point, the gesture of the user. The pressure point refers to the pressure position of the snore relieving equipment due to being pressed. The pressure data may include pressure data monitored by pressure sensors at various locations.

For example, when a user sleeps on his/her back, the pressure data of the snore relieving device is small; when a user sleeps on one side, the side surface of the snore relieving equipment is pressed, and the pressure data of the side surface pressed point is larger; when a user lies prone to sleep, the front side of the snore relieving equipment is pressed, and the pressure data of the front side pressed point is larger.

In some embodiments, the processor may obtain pressure data based on the pressure detection device. The processor may be based on retrieving sound data from other storage devices in which pressure data is stored.

Step 420 adjusts an operating parameter of the drive assembly based on the pressure data.

In some embodiments, the processor may adjust the operating parameters of the drive assembly based on the pressure data in a variety of ways. For example, the processor may adjust the operating power of the drive assembly upon determining that the pressure change data is greater than the first pressure threshold. The first pressure threshold may be a value based on empirical or experimental settings.

The pressure change data refers to pressure data that changes over time. For example, the pressure change data may include pressure change data of at least one pressure receiving point, or a mean value of the pressure change data of each pressure receiving point, or the like.

In some embodiments, the processor may construct the feature vector based on the current compression point, current pressure change data, pre-adjustment operating power, etc.; and based on the characteristic vector searching in the pressure characteristic vector database, determining the reference vector with the vector distance meeting the distance threshold as the association vector. And determining the adjustment value of the historical driving component stored in association with the association vector as the adjustment value of the current driving component. The pressure characteristic vector database is used for storing reference vectors constructed based on historical pressure points, historical pressure data, operation power before historical adjustment and adjustment values of historical driving components corresponding to each reference vector. The distance threshold may be a system default or a manually set value.

In some embodiments, the processor may adjust the operating power of the drive assembly based on the adjustment value.

In some embodiments, the processor may determine a stress point distribution of the snore relieving feature based on the pressure data; determining gesture data of a user based on the distribution condition of the stress points; based on the attitude data, operating parameters of the drive assembly are adjusted.

The distribution of stress points refers to the distribution of the stress positions of the snore relieving component. For example, pressure distribution conditions may include distribution of stress points on the front, distribution of stress points on the sides, no stress points, etc.

In some embodiments, the processor may obtain the force point distribution by a variety of means. For example, the processor may analyze the pressure data, select the largest pressure data in the pressure data, determine the location of the corresponding sensor as the stress point, and determine the current stress point distribution based on the stress point.

In some embodiments, the processor may analyze the pressure data and determine that the snore relieving component is in a stress point distribution of the stress free point when the pressure data at each location is determined to be less than the second pressure threshold.

The posture data of the user refers to data related to the posture in which the user sleeps. For example, the user's gesture data may include lying flat, lying sideways, lying prone, etc.

In some embodiments, the processor may obtain the user gesture data in a variety of ways based on the force distribution. For example, when the stress points are distributed on the front surface, determining that the posture data of the user is lying flat; when the stress points are distributed on a certain side, determining that the gesture data of the user is lying sideways; and when the stress point is not present, determining that the gesture data of the user is lying down.

In some embodiments, the processor may adjust the operating parameters of the drive assembly in a variety of ways based on the user's gesture data. For example, the processor may determine whether the user's gesture data is in a sideways or prone position, and in response, adjust the operating parameters of the drive assembly. The processor may adjust the operating parameters of the drive assembly based on a preset adjustment value or a preset formula. The preset adjustment value may be a value set based on experience or man.

According to some embodiments of the specification, by obtaining gesture data of a user and adjusting operation parameters of the driving assembly, different operation power of the driving assembly can be corresponding to different sleeping gestures, any uncomfortable feeling brought by the driving assembly can be reduced, and sleeping quality of the user is prevented from being influenced.

According to some embodiments of the specification, the operating power of the driving part is adjusted through pressure data, so that the user can perform stimulation with different degrees under different sleeping postures, the snore stopping effect is improved, and meanwhile, the sleeping comfort of the user can be improved to a certain extent.

FIG. 5 is a schematic diagram of an execution model shown in accordance with some embodiments of the present description. As shown in fig. 5, a method 500 of determining a preferred operating power by executing a model may include the following.

In some embodiments, the processor may determine the preferred operating power of the drive assembly by executing the model based on the user data and the sound data for the at least one point in time in response to the sound detection assembly detecting the sound data.

The preferred operating power refers to a preferred value for adjusting the operating parameters of the drive assembly.

In some embodiments, the execution model may be a machine learning model. For example, convolutional neural networks (Convolutional Neural Networks, CNN), deep neural networks (Deep Neural Networks, DNN), etc. can implement models of the same or corresponding functions.

In some embodiments, the input of the execution model may include user data, sound data for at least one point in time, and pressure monitoring data and usage scenarios, and the output may include a preferred operating power of the drive assembly.

In some embodiments, the input of the execution model may further include gesture data of the user, the gesture data being determined based on the pressure data. For more content on the user's gesture data, see the relevant description of fig. 4.

According to the embodiments of the specification, the snoring degree accompanied by different sleeping postures is considered to be different, so that the operating power of the driving assembly is also different, and the optimal operating power can be more in accordance with the actual sleeping posture situation by inputting the posture data of the user in the execution model, so that the wearing comfort of the user is improved.

In some embodiments, the input of the execution model may further include sleep data obtained by identifying a sleep state of the user.

Sleep data refers to the sleep state of a user. For example, sleep data may include falling asleep, shallow sleep, deep sleep, continuing deep sleep, etc.

In some embodiments, the processor may determine the sleep data in a variety of ways. For example, the processor may determine the sleep state of the user by detecting the electrodes.

According to some embodiments of the present disclosure, sleep data is input into an execution model, so that preferred operation power is more consistent with actual sleep conditions of a user (for example, operation power corresponding to deep sleep is lower, operation power corresponding to shallow sleep is higher, etc.), thereby achieving snore stopping effect, avoiding excessive stimulation to a target object, and ensuring sleep quality.

In some embodiments, the execution model may be trained from multiple sets of labeled training samples. In some embodiments, each set of training samples may include sample user data, sample sound data for at least one historical point in time, sample pressure monitoring data, sample usage scenarios, and the like, through which the training samples may be obtained. In some embodiments, the tag is the minimum operating power of the actual drive component to which the set of training samples corresponds, and the second tag may be determined by a processor or human labeling. For example, a user under a certain group of sample user data and sound data at a sample time point can be subjected to a snore stopping experiment with a plurality of operation powers by a person, and the minimum operation power when the target snore stopping effect is achieved is selected and used as a label of a training sample. The target snore relieving effect may be that the sound intensity of the target sound is less than a snore threshold. The snore threshold may be set empirically or manually.

In some embodiments, the processor may obtain the preferred operating power based on a difference between the operating power of the current drive assembly and the minimum operating power of the drive assembly.

In some embodiments, when the input of the execution model includes gesture data of the user, each set of training samples may also include gesture data of the sample user.

In some embodiments, when the input of the execution model includes sleep data, each set of training samples may also include sample sleep data.

In some embodiments, the processor may perform secondary fine tuning on the operation parameters of the driving assembly based on the sound data and the pressure data in a preset time period acquired in real time after the adjustment.

The adjustment may include an adjustment based on sound intensity, based on pressure data, based on an output of the execution model, and so forth.

For more on adjusting the operating parameters of the drive assembly based on sound intensity, see the relevant description of fig. 3.

For more on adjusting the operating parameters of the drive assembly based on the pressure data, see the associated description of FIG. 4.

For more on adjusting the operating parameters of the drive assembly based on the output of the execution model, see the relevant description above for fig. 5.

It should be noted that the above three adjustment methods may be performed separately, or may be a combination of at least two adjustment methods. For example, a joint adjustment scheme based on sound intensity adjustment and pressure data adjustment, or a joint adjustment scheme based on execution model adjustment and pressure data adjustment, a joint adjustment scheme jointly carried out by three adjustment modes, or the like.

In practical situations, the processor may also select any one of the three adjustment modes or a joint adjustment scheme based on the remaining power of the power supply. For example, when the remaining power of the power supply is below the second power threshold, the processor selects any one of three adjustment modes to adjust the operating parameters of the drive assembly. The second power threshold may be a value that is empirically based or system preset.

In some embodiments, the processor may select the joint adjustment scheme when the remaining power of the power supply is above a third power threshold. The third power threshold may be a value that is empirically based or system preset.

In some embodiments, the processor may calculate a difference in the operating powers determined in the two adjustment modes, and when the difference is less than a difference threshold, set the operating power of the drive assembly to be the average of the operating powers determined in the two adjustment modes. For example, a difference between the operating power determined based on the sound intensity adjustment and the operating power determined based on the output adjustment of the execution model is calculated, and when the difference is smaller than a difference threshold, the operating power of the driving assembly is set to a mean value of the operating power determined based on the sound intensity adjustment and the operating power determined based on the output adjustment of the execution model.

In some embodiments, when the difference is greater than the difference threshold, the processor may randomly select an adjustment to adjust an operating parameter of the drive assembly until the difference is less than the difference threshold.

The average value may be a weighted average value, and the difference threshold and the weight may be values preset by the system.

In some embodiments, the processor may perform secondary fine tuning on the operating parameters of the driving assembly in various manners based on the sound data and the pressure data within a preset time period acquired in real time after the adjustment. For example, the processor may obtain sound intensity and user gesture data after each adjustment; if the adjusted sound intensity is larger than the preset intensity threshold, the user still snores with the original sound intensity, and the running power is increased with the current adjustment value; if the adjusted sound intensity is smaller than the preset intensity threshold, the user does not snore, and the running power is kept unchanged; if the adjusted sound intensity is reduced, but the sound intensity is still not smaller than the preset intensity threshold, reducing the current adjustment value, and improving the running power based on the reduced adjustment value; if the gesture data of the user after adjustment changes, the sleep of the user is affected, the adjustment value of the current power is reduced, the current power is adjusted in a smaller amplitude, and if the adjustment value of the current power is reduced to 0, the adjustment is stopped.

It should be noted that the preset intensity threshold and the magnitude of the decrease adjustment value may be preset based on experience or a system.

In some embodiments, the processor may readjust the operating power of the drive assembly based on the sound intensity, the pressure data, and/or the execution model in response to the number of secondary fine-tuning reaching a preset number of times, which may be based on a system preset determination, and the sound intensity being greater than a preset intensity threshold. For more details on the adjustment of the operating power of the drive assembly based on sound intensity, pressure data and/or execution model, see the relevant description in fig. 3-5 of the present specification.

In some embodiments of the present disclosure, by performing secondary fine adjustment on the operation power adjusted by the three adjustment manners, battery resources may be saved (for example, the amplitude of the adjustment value is reduced), so as to improve the utilization rate of the battery of the portable device; the operation power of the driving assembly is timely adjusted based on the response (sound intensity change, gesture change and the like) of the user, so that the snore relieving effect is ensured, the influence of greater stimulation on the sleep quality of the user is avoided, and the user experience is improved.

In some embodiments, adjustment data corresponding to the operating power of the driving component that meets the preset condition may be used to strengthen the training execution model.

The adjustment data refers to a parameter set for achieving the target snore stopping effect. For example, the set of adjustment data may comprise user data, sound data of at least one point in time, pressure monitoring data and usage scenarios, gesture data of the user and sleep data of the user, and a preferred operating power of the corresponding driving means. .

The preset condition is a judging condition for evaluating the snore relieving effect of the operation power of the driving assembly. For example, the preset conditions may include: after adjustment according to the preferred operating power, the sound intensity of the target sound is less than the snore threshold, etc.

In some embodiments, the processor may obtain sound intensity and user pose data after each adjustment (including adjustment, secondary trim, etc.); when the sound intensity is smaller than the snore threshold and the gesture data of the user is not changed, the adjustment data is used as a group of strengthening training samples. Wherein the preferred operating power of the drive in the adjustment data can be used as a model-trained tag.

In some embodiments, the processor may perform the reinforcement training on the execution model in a variety of ways based on the plurality of sets of reinforcement samples. For example, the processor may obtain a number of enhanced samples in the manner described above, and retrain the execution model based on the number of enhanced samples to optimize parameters of the execution model. For another example, the processor may add multiple reinforcement samples to the training samples, and retrain the execution model based on the reinforcement samples, the training samples.

The reinforcement training refers to training of a model by a high-quality reinforcement training sample.

In some embodiments, the processor may tune train and consolidate the parameters of the trained execution model as the reinforcement training may be performed by the execution model. For example, when the model is executed for retraining, the learning rate is improved. The learning rate may reflect how fast the parameter reaches an optimal value.

In some embodiments of the present disclosure, by strengthening the training samples, the execution model may obtain higher quality training data, so as to strengthen the association between input and output, and improve accuracy of the execution model.

Some embodiments of the present disclosure may achieve better results than directly determining adjustment values based on historical data by executing a model, improving the accuracy of adjustment, and further efficiency in stopping snoring.

While the basic concepts have been described above, it will be apparent to those skilled in the art that the foregoing detailed disclosure is by way of example only and is not intended to be limiting. Although not explicitly described herein, various modifications, improvements, and adaptations to the present disclosure may occur to one skilled in the art. Such modifications, improvements, and modifications are intended to be suggested within this specification, and therefore, such modifications, improvements, and modifications are intended to be included within the spirit and scope of the exemplary embodiments of the present invention.

Meanwhile, the specification uses specific words to describe the embodiments of the specification. Reference to "one embodiment," "an embodiment," and/or "some embodiments" means that a particular feature, structure, or characteristic is associated with at least one embodiment of the present description. Thus, it should be emphasized and should be appreciated that two or more references to "an embodiment" or "one embodiment" or "an alternative embodiment" in various positions in this specification are not necessarily referring to the same embodiment. Furthermore, certain features, structures, or characteristics of one or more embodiments of the present description may be combined as suitable.

Furthermore, the order in which the elements and sequences are processed, the use of numerical letters, or other designations in the description are not intended to limit the order in which the processes and methods of the description are performed unless explicitly recited in the claims. While certain presently useful inventive embodiments have been discussed in the foregoing disclosure, by way of various examples, it is to be understood that such details are merely illustrative and that the appended claims are not limited to the disclosed embodiments, but, on the contrary, are intended to cover all modifications and equivalent arrangements included within the spirit and scope of the embodiments of the present disclosure. For example, while the system components described above may be implemented by hardware devices, they may also be implemented solely by software solutions, such as installing the described system on an existing server or mobile device.

Likewise, it should be noted that in order to simplify the presentation disclosed in this specification and thereby aid in understanding one or more inventive embodiments, various features are sometimes grouped together in a single embodiment, figure, or description thereof. This method of disclosure does not imply that the subject matter of the present description requires more features than are set forth in the claims. Indeed, less than all of the features of a single embodiment disclosed above.

In some embodiments, numbers describing the components, number of attributes are used, it being understood that such numbers being used in the description of embodiments are modified in some examples by the modifier "about," approximately, "or" substantially. Unless otherwise indicated, "about," "approximately," or "substantially" indicate that the number allows for a 20% variation. Accordingly, in some embodiments, numerical parameters set forth in the specification and claims are approximations that may vary depending upon the desired properties sought to be obtained by the individual embodiments. In some embodiments, the numerical parameters should take into account the specified significant digits and employ a method for preserving the general number of digits. Although the numerical ranges and parameters set forth herein are approximations that may be employed in some embodiments to confirm the breadth of the range, in particular embodiments, the setting of such numerical values is as precise as possible.

Each patent, patent application publication, and other material, such as articles, books, specifications, publications, documents, etc., referred to in this specification is incorporated herein by reference in its entirety. Except for application history documents that are inconsistent or conflicting with the content of this specification, documents that are currently or later attached to this specification in which the broadest scope of the claims to this specification is limited are also. It is noted that, if the description, definition, and/or use of a term in an attached material in this specification does not conform to or conflict with what is described in this specification, the description, definition, and/or use of the term in this specification controls.

Finally, it should be understood that the embodiments described in this specification are merely illustrative of the principles of the embodiments of this specification. Other variations are possible within the scope of this description. Thus, by way of example, and not limitation, alternative configurations of embodiments of the present specification may be considered as consistent with the teachings of the present specification. Accordingly, the embodiments of the present specification are not limited to only the embodiments explicitly described and depicted in the present specification.

Claims

1. The snore stopping device is characterized by comprising a processor, and a snore stopping component, a supporting component and a fixing component which are in communication connection with the processor; wherein,

The snore relieving component at least comprises a sound detection component, a negative pressure generation component and a driving component, wherein the negative pressure generation component acts on a target part of a user, so that a respiratory tract at the target part is opened under the action of negative pressure, and the driving component is used for driving the negative pressure generation component to generate negative pressure; the sound detection component is used for acquiring sound data;

the support component is connected with the snore stopping component and is used for attaching the snore stopping component to the target part;

the fixing component is connected with the supporting component and used for fixing the supporting component;

the processor is configured to:

Determining a control instruction, the control instruction comprising an operating parameter of the drive assembly;

identifying a target sound from the sound data, and determining the sound intensity of the target sound;

adjusting the operating parameter of the drive assembly based on the sound intensity or user treatment level; the adjusting amplitude of the operating parameter of the driving assembly is adjusted and corrected based on the collection frequency of the sound detection assembly, and the collection frequency is determined based on the sound intensity and the residual electric quantity of the power supply.

2. The snore stopping apparatus of claim 1, wherein the snore stopping assembly further comprises a temperature control device, the processor further configured to: and controlling the temperature control device, and assisting in stopping snore by adjusting the temperature.

3. The snore stopping device of claim 1, further comprising a pressure detection assembly for acquiring pressure data and a positioning device for determining a usage scenario of the snore stopping device, the processor further configured to:

In response to the sound detection component detecting the target sound, determining a preferred operating power of the drive component by an execution model based on user data, the sound data of at least one point in time, the pressure data, gesture data, sleep data, and the usage scenario, the sleep data obtained by identifying a sleep state of the user, the execution model being a machine learning model.

4. The snore stopping device of claim 3, wherein the processor is further configured to:

After the operation parameters of the driving assembly are adjusted, performing secondary fine adjustment on the operation parameters of the driving assembly based on the sound data and the pressure data in a preset time period, which are acquired in real time after adjustment;

And in response to the number of times of the secondary trimming reaching a preset number of times, and the sound intensity after the secondary trimming being greater than a preset intensity threshold, readjusting the operating parameters of the driving assembly based on the sound intensity and the pressure data.

5. The snore stopping device of claim 3, wherein the processor is further configured to:

adjusting data corresponding to the running power of the driving assembly meeting preset conditions are used for training the execution model in an intensified manner;

The preset condition refers to a judging condition for evaluating the snore stopping effect of the running power of the driving assembly, and the adjustment data refers to a parameter set for achieving the target snore stopping effect.

6. The parameter adjustment method of the snore relieving equipment is characterized in that the snore relieving equipment comprises a processor, and a snore relieving component, a supporting component and a fixing component which are in communication connection with the processor; wherein, the snore relieving component at least comprises a sound detection component, a negative pressure generation component and a driving component, and the method is executed by a processor and comprises the following steps:

7. The method of claim 6, wherein the anti-snoring element further comprises a temperature control device, the method further comprising: and controlling the temperature control device, and assisting in stopping snore by adjusting the temperature.

8. The method of claim 6, wherein the snore relieving device further comprises a pressure detection assembly for acquiring pressure data and a positioning device for determining a use scenario of the snore relieving device, the method further comprising:

9. The method of claim 8, wherein the method further comprises:

10. The method of claim 8, wherein the method further comprises: