Self-adaptive adjusting system and method for Eustachian tube

Abstract

The invention relates to the technical field of medical auxiliary instruments, and discloses a self-adaptive adjusting system and method for an Eustachian tube, and the system comprises a monitoring assembly, an adjusting assembly, a power supply assembly and a control assembly; the monitoring assembly comprises an air pressure sensor used for monitoring the middle ear pressure in the auditory meatus in real time, and an auxiliary sensor set used for collecting external environment parameters and activity parameters of a user. The adjusting assembly comprises an air pump, a pressure maintaining bin and an air valve which are arranged on the same air path. The air pump is used for inflating the pressure maintaining bin for pressurization or exhausting the pressure maintaining bin for decompression. The pressure maintaining bin is used for temporarily storing gas and stabilizing gas flow; the air valve is used for switching on-off of an air path; the power assembly is used for supplying power to the monitoring assembly, the adjusting assembly and the control assembly. The control assembly comprises a controller; the controller is also in communication connection with a control terminal; a monitoring algorithm and an adaptive adjustment algorithm are preset in the controller. The ear pressure can be monitored in real time, the open state of the Eustachian tube can be dynamically adjusted, and noninvasiveness, portability and reliability are achieved.

Description

Technical Field

[0001] The present invention relates to the technical field of medical auxiliary devices, and particularly relates to an adaptive regulation system and method for the eustachian tube. Background Art

[0002] As an important duct connecting the middle ear and the posterior part of the nose, the eustachian tube undertakes the key function of balancing the air pressure between the middle ear and the external environment, and is crucial for maintaining the normal position and function of the eardrum and ensuring the health of the middle ear. Once the eustachian tube is affected by factors such as inflammation, allergy or structural abnormality, its self-regulating ability is damaged, which will cause the imbalance of air pressure inside and outside the middle ear, leading to symptoms such as ear fullness, tinnitus, hearing loss, etc., seriously affecting the quality of life of patients.

[0003] At the same time, eustachian tube dysfunction is also an important cause of ear diseases such as secretory otitis media. According to statistics, about 5%-10% of adults globally have experienced ETD (eustachian tube dysfunction) symptoms due to aviation, diving, upper respiratory tract infection or anatomical abnormality, manifested as ear fullness, hearing loss and tinnitus, and in severe cases, tympanic membrane perforation or otitis media may be induced; furthermore, in the pediatric population, their eustachian tubes are short and straight, and are more susceptible to upper respiratory tract infections, leading to eustachian tube dysfunction and otitis media. Therefore, developing a system and method that can effectively regulate the function of the eustachian tube can not only relieve the discomfort symptoms of patients caused by eustachian tube dysfunction, but also prevent the occurrence of related ear diseases, which has important clinical and social significance.

[0004] At present, the treatment methods for eustachian tube dysfunction include traditional intervention methods such as the Valsalva maneuver and drug spraying. However, these methods rely on the subjective operation of patients and have problems such as lagging response and low adjustment accuracy. In addition, there are clinical surgeries such as tympanostomy tube insertion and eustachian tube balloon dilation, which are accompanied by invasive risks and high costs. In recent years, ear pressure regulation technology has gradually evolved from passive intervention to active closed-loop control. In emerging treatment technologies, there have emerged ear pressure regulation type treatment devices integrated with measurement and inflation treatment, such as a monitoring system, method, and electronic device for eustachian tube inflation treatment disclosed in the patent with publication number CN110584609A, and a device for eustachian tube function determination and treatment disclosed in the patent with publication number CN116473550A. These technologies can establish a treatment control closed-loop of pressure measurement - adjustment. However, our research has found that the existing technologies still face the following technical problems: First, it is difficult to achieve accurate ear pressure monitoring. Ear pressure examination is interfered by various factors (such as being easily affected by temperature drift, wearing displacement, and environmental noise), and the amplitude of pressure change in the ear canal is very small, making ear pressure monitoring difficult. Second, there is a lack of personalized adjustment means. The opening pressure of the eustachian tube is affected by multiple factors such as age and body mass index (BMI), and there are significant individual differences. Most of the adjustments of existing devices rely on the personal experience of the operator or on pre-set fixed parameters and cannot adapt to the dynamic changes of the user's physiological characteristics. Third, there is a lack of portable devices. The existing devices have a large structure and volume and are often used as pure clinical medical devices, with the use scenario limited to hospitals and unable to provide accompanying treatment for patients.

[0005] In summary, developing a non-invasive, portable adaptive system that can monitor ear pressure in real time and dynamically adjust the opening state of the eustachian tube has become an urgent need to improve the quality of life of patients and reduce the medical burden. Summary of the Invention

[0006] The present invention aims to provide an adaptive regulation system and method for the eustachian tube, which can monitor ear pressure in real time, dynamically adjust the opening state of the eustachian tube, and has non-invasiveness, portability, and reliability.

[0007] To achieve the above object, the present invention provides the following basic solutions.

[0008] Solution 1

[0009] An adaptive regulation system for the eustachian tube, comprising: a monitoring component, a regulation component, a power supply component and a control component; the monitoring component includes a barometric pressure sensor for real-time monitoring of the middle ear pressure in the ear canal, and an auxiliary sensor group for collecting external environment parameters and the user's activity parameters; the regulation component includes an air pump, a pressure holding chamber and an air valve arranged on the same air path; the air pump is used to inflate and pressurize or evacuate and decompress the pressure holding chamber; the pressure holding chamber is used to temporarily store gas and smooth the air flow; the air valve is used to switch the on / off of the air path; the power supply component is used to supply power to the monitoring component, the regulation component and the control component;

[0010] The control component includes a controller; the controller is also communicatively connected to a control terminal; a monitoring algorithm and an adaptive regulation algorithm are preset in the controller; an information collection module is provided in the control terminal; the information collection module is used to collect the user's basic information;

[0011] The monitoring algorithm includes: based on the collected middle ear pressure data, performing preprocessing to exclude interference factors and obtaining target pressure data; if the target pressure data reaches the regulation threshold, triggering the adaptive regulation algorithm to perform ear pressure regulation;

[0012] The adaptive regulation algorithm includes: based on the collected external environment parameters, the user's activity parameters and basic information, determining the user's regulation threshold and regulation target value, and controlling the regulation component to act so that the real-time middle ear pressure value reaches the regulation target value.

[0013] Further, it further includes a head-mounted headphone rack; the monitoring component, the regulation component and the control component are integrated on the head-mounted headphone rack.

[0014] Further, the pressure holding chamber includes a left chamber and a right chamber, the air valve includes a left air valve and a right air valve and is respectively communicated with the left chamber and the right chamber, and forms a left branch air path and a right branch air path; the head-mounted headphone rack includes a left ear chamber and a right ear chamber; in-ear silicone earplugs are provided at both the left ear chamber and the right ear chamber and are respectively communicated with the left branch air path and the right branch air path.

[0015] Further, the external environment parameters include: environmental temperature, ear canal temperature, environmental pressure, environmental humidity, altitude; the user's activity parameters include: head posture, swallowing action, exercise state; the user's basic information includes: age, gender, medical history, BMI index, 3D model of the ear canal, behavioral habit data.

[0016] Further, the preprocessing includes using the Kalman filtering method to eliminate data noise and smoothing the data in combination with the moving window averaging method.

[0017] Further, when determining the adjustment threshold of the user, first set a reference value of the adjustment threshold according to the user's basic information, then set a real-time correction factor based on the user's activity parameters and external environment parameters, correct the reference value according to the real-time correction factor, and obtain the final adjustment threshold.

[0018] Further, when determining the adjustment target value, use a composite LSTM model to predict the trend of the eustachian tube opening pressure of the user and output the adjustment target value.

[0019] Further, a background management module is also provided in the control terminal; the background management module is used for a doctor to set and modify the adjustment threshold, the parameters of the adaptive adjustment algorithm, and the safety margin of the adjustment component.

[0020] Further, a user interaction module is also provided in the control terminal; the user interaction module is used for the user to view the ear pressure value and the ear pressure adjustment status, for the user to input or modify the activity parameters and basic information, and for the user to finely adjust the ear pressure adjustment amplitude.

[0021] Solution 2

[0022] An adaptive adjustment method for the eustachian tube, which uses an adaptive adjustment system for the eustachian tube as described in Solution 1 to monitor and adjust the eustachian tube state; includes the following steps:

[0023] The user wears a head-mounted headphone rack and puts the in-ear silicone earplug into the ear canal;

[0024] The monitoring component monitors the middle ear pressure in the ear canal in real time and collects external environment parameters and the user's activity parameters;

[0025] The control component executes the monitoring algorithm and the adaptive adjustment algorithm; the monitoring algorithm includes: based on the collected middle ear pressure data, performing preprocessing to exclude interference factors and obtaining target pressure data; if the target pressure data reaches the adjustment threshold, trigger the adaptive adjustment algorithm to perform ear pressure adjustment;

[0026] The adaptive adjustment algorithm includes: based on the collected external environment parameters, the user's activity parameters and basic information, determining the user's adjustment threshold and adjustment target value, and controlling the adjustment component to act so that the real-time middle ear pressure value reaches the adjustment target value.

[0027] The working principle and advantages of the present invention are as follows:

[0028] An adaptive adjustment system and method for the eustachian tube of the present invention can monitor the ear pressure in real time, dynamically adjust the eustachian tube opening state, and have the characteristics of non-invasiveness, portability and reliability. The key points are:

[0029] First, by highly integrating the monitoring component, adjustment component, control component, and power supply component into the head-mounted headphone rack, this solution realizes the miniaturization and wearability of medical devices. Among them, the integrated design based on the head-mounted headphone rack has good portability and comfort. The split structure of the left ear compartment and the right ear compartment respectively corresponds to the left air distribution path and the right air distribution path. An in-ear silicone earplug is correspondingly arranged at each ear compartment to ensure airtightness and can be adapted to the shape of the ear canal. The pressure-holding chamber adopts a double-chamber design (left chamber and right chamber), combined with independent air valve control (left air valve and right air valve), which can independently adjust the pressure of the left and right ear canals and avoid the interference of unilateral adjustment on the ear pressure of the other side. For example, when the eustachian tube function of a user's unilateral ear canal is abnormal due to inflammation, the system can only accurately increase or decrease the pressure on the affected side, while the healthy side remains in a natural state, significantly improving the pertinence of adjustment.

[0030] Second, this solution has high adjustment accuracy and reliability. The monitoring component not only collects ear canal pressure data in real time but also obtains external environment parameters (environmental temperature and humidity, altitude) and user activity parameters (head posture, motion state) through the auxiliary sensor group. Combining with the user's basic information (age, medical history, 3D ear canal model), a complete individualized data model can be constructed. And through preprocessing operations, aiming to eliminate environmental interference, accurate ear pressure monitoring can be achieved. A dynamic correction factor mechanism is set. The reference value is generated based on the user's physiological characteristics and medical history, and the real-time correction factor is dynamically adjusted according to environmental parameters and activity states, which can fully consider the individual differences of users, adapt to the dynamic changes of users' physiological characteristics, and achieve real-time and accurate pressure regulation control. This solution can realize the combination of multi-modal data fusion and intelligent algorithms, can achieve active predictive adjustment, significantly shorten the adjustment response time and reduce the risk of misadjustment.

[0031] Third, this solution has good interactivity. It is specially equipped with a background management module and a user interaction module, which can establish effective interactions with doctors and users, ensuring both medical rigor and improving user compliance. BRIEF DESCRIPTION OF THE DRAWINGS

[0032] Figure 1 It is a schematic diagram of the system structure of the first embodiment of an adaptive regulation system and method for the eustachian tube of the present invention;

[0033] Figure 2 It is a schematic diagram of the system circuit principle of the first embodiment of an adaptive regulation system and method for the eustachian tube of the present invention. DETAILED DESCRIPTION OF THE EMBODIMENTS

[0034] The following is a more detailed description through specific embodiments:

[0035] Embodiment 1 [[ID=2,6]]

[0036] The embodiment is basically as shown in the attachedFigure 1 and Figure 2 As shown in Figure 2 , an adaptive adjustment system for the eustachian tube includes: a monitoring component, an adjustment component, a power supply component, a control component, and a head-mounted headphone holder; the monitoring component, the adjustment component, and the control component are integrated on the head-mounted headphone holder.

[0037] The monitoring component includes a barometric pressure sensor for real-time monitoring of the middle ear pressure in the ear canal, and an auxiliary sensor group for collecting external environment parameters and user activity parameters. The external environment parameters include: ambient temperature, ear canal temperature, ambient pressure, ambient humidity, altitude; the user activity parameters include: head posture, swallowing action, motion state.

[0038] Specifically, in this embodiment, the barometric pressure sensor is a micro single-head barometric pressure sensor with a measuring range of -1 kPa to +1 kPa and an output voltage of 0 to 3.3 V to monitor ear pressure changes.

[0039] The auxiliary sensor group includes a temperature and humidity sensor for collecting ambient temperature and ambient humidity, a micro temperature sensor for collecting ear canal temperature, an ambient barometric pressure sensor for collecting ambient pressure; the altitude is obtained by converting the ambient pressure, a multi-axis IMU sensor for confirming head posture and motion state, and a bone vibration sensor for confirming swallowing action.

[0040] The adjustment component includes an air pump, a pressure holding chamber, and an air valve provided on the same air path. The air pump is used to inflate and pressurize or evacuate and depressurize the pressure holding chamber; the pressure holding chamber is used to temporarily store gas and smooth the air flow; the air valve is used to switch the on / off of the air path.

[0041] Specifically, an air path pressure sensor is also provided between the pressure holding chamber and the air valve. In this embodiment, the air pump is a peristaltic pump; the air path pressure sensor is also a micro single-head barometric pressure sensor with a measuring range of -1 kPa to +1 kPa and an output voltage of 0 to 3.3 V to confirm the actual output pressure of the air path, which helps to reduce the risk of mis-adjusting the pressure.

[0042] The pressure holding chamber includes a left chamber and a right chamber. The air valve includes a left air valve and a right air valve and is respectively connected to the left chamber and the right chamber, forming a left air branch and a right air branch; the head-mounted headphone holder includes a left ear chamber and a right ear chamber; in-ear silicone earplugs are provided at both the left ear chamber and the right ear chamber and are respectively connected to the left air branch and the right air branch.

[0043] The power supply component is used to supply power to the monitoring component, the adjustment component, and the control component. In this embodiment, the power supply component is a mobile power bank with a 5V output or other mobile power source. Optionally, the power supply component can also be a rechargeable energy storage battery integrated on the head-mounted headphone holder. With this setting, the structural weight of the system increases, but the portability is better.

[0044] The control component includes a controller; the controller is also communicatively connected to a control terminal. In this embodiment, the controller is a microcontroller, and a communication connection is established with the control terminal through a self-created WiFi hotspot. The control terminal is a personal terminal such as a mobile phone or a computer, and a background management module and a user interaction module are also provided in the control terminal; in this embodiment, the background management module and the user interaction module are carried in the control terminal in the form of software.

[0045] The controller is preset with a monitoring algorithm and an adaptive adjustment algorithm; an information collection module is provided in the control terminal; the information collection module is used to collect the basic information of the user; the basic information of the user includes: age, gender, medical history, BMI index, 3D ear canal model, and behavior habit data. The 3D ear canal model can be obtained by ToF scanning; the behavior habit data includes the frequency of air travel, the duration of headphone use, etc.

[0046] The monitoring algorithm includes: based on the collected middle ear pressure data, preprocessing to exclude interference factors and obtaining target pressure data; if the target pressure data reaches the adjustment threshold, triggering the adaptive adjustment algorithm to perform ear pressure adjustment.

[0047] The preprocessing includes using the Kalman filtering method to eliminate data noise and smoothing the data in combination with the moving window average method.

[0048] Specifically, when using the Kalman filtering method to eliminate data noise, it includes the following steps:

[0049] Step 1, set the state transition model, P k =P k-1 +ω k ; P k is the predicted current middle ear pressure data, P k-1 is the middle ear pressure data at the previous moment; ω k is the process noise, which follows a Gaussian distribution ω k ~N(0,Q); in this embodiment, the Q value is set according to the ear pressure change rate. By experimentally observing the natural fluctuation range of the ear pressure, for example, it is set based on the change value of the ear pressure per minute in a stationary state.

[0050] Set the observation equation, Z k =P k +v k ; v k is the measurement noise, which follows a Gaussian distribution v k ~N(0,R), in this embodiment, the covariance R is determined by pre-calibrating the barometric pressure sensor. Z k is the middle ear pressure data actually measured by the barometric pressure sensor.

[0051] Step 2, based on the set state transition model and observation equation, compare the actual sensor measurement Z k with the predicted value to calculate the Kalman gain K k , and fuse the two to obtain the optimal estimated value as the output value

[0052]

[0053] is the prediction error covariance.

[0054] In the initial state, it is equal to the first measurement value; Σ0 = R.

[0055] On the basis of the Kalman filter output, when smoothing the data in combination with the moving window averaging method, the following steps are included:

[0056] Set the time window length to 50 ms. Calculated at a sampling frequency of 100 Hz, the window contains 5 data points; when each new data point enters the window, the oldest point is removed, and the arithmetic mean of the data in the window is calculated;

[0057] where P i corresponds to

[0058] Take P avg as the target pressure data.

[0059] The adaptive adjustment algorithm includes: based on the collected external environment parameters, user activity parameters and basic information, determine the user's adjustment threshold and adjustment target value, and control the adjustment component to act so that the real-time middle ear pressure value reaches the adjustment target value.

[0060] When determining the user's adjustment threshold, first set the reference value of the adjustment threshold according to the user's basic information, then set the real-time correction factor based on the user's activity parameters and external environment parameters, correct the reference value according to the real-time correction factor, and obtain the final adjustment threshold.

[0061] Specifically, in this embodiment, the reference value of the adjustment threshold can be set by a doctor. When setting the real-time correction factor, the following steps are included:

[0062] Analyze the user's activity parameters and external environment parameters, and set the sub-correction factor F based on the activity parameters corresponding to the head posture, swallowing action, and motion state 活动, set the sub-correction factor F based on environmental parameters corresponding to ambient temperature, ear canal temperature, ambient pressure, ambient humidity, and altitude 环境 . And perform trimming factor fusion to obtain the real-time correction factor F 修正 = 1 + λ1·F 活动 + λ2·F 环境 .

[0063] When determining the adjustment target value, a composite LSTM model is used to predict the trend of the eustachian tube opening pressure of the user and output the adjustment target value. The composite LSTM model is pre-trained using a specified database, and the specified database contains clinically statistical manometry and intervention cases. The controller controls the opening degree of the adjustment air valve and the action of the air pump corresponding to the adjustment target value.

[0064] The composite LSTM model includes an input layer, a feature fusion layer, a composite network layer, and an output layer.

[0065] Specifically, the input layer is a multi-modal input branch; it includes: a time series branch - an LSTM layer (64 units) processes activity parameters with time series characteristics such as ear pressure and ambient air pressure, and external environmental parameters. A static feature branch - a first fully connected layer (32 units) processes user basic information. The feature fusion layer is used to splice the time series features and static features and input them into a second fully connected layer (64 units), and the activation function is set to ReLU. The composite network layer includes 2 LSTM layers and an attention module, which can fully mine features and achieve accurate trend prediction.

[0066] The background management module is used for doctors to set and modify adjustment thresholds, parameters of monitoring algorithms and adaptive adjustment algorithms (such as Kalman filter parameters Q, R; sliding window length; model parameters of the composite LSTM model, etc.) and safety boundaries of adjustment components (such as upper and lower limits of ear pressure adjustment to avoid ear damage caused by system miscontrol).

[0067] The user interaction module is used for users to view ear pressure values and ear pressure adjustment status, for users to input or modify activity parameters and basic information, and for users to finely adjust the ear pressure adjustment amplitude. In this embodiment, the ear pressure adjustment amplitude is set to five-speed adjustment (from slow to fast) and five-level ear pressure value adjustment (gradually reducing the pressure increase), and users can manually select gears according to their own tolerance.

[0068] This embodiment also provides an adaptive adjustment method for the eustachian tube, which uses an adaptive adjustment system for the eustachian tube as described above to monitor and adjust the eustachian tube state; it includes the following steps:

[0069] The user wears a head-mounted headphone rack and puts the in-ear silicone earplugs into the ear canal;

[0070] The monitoring component monitors the middle ear pressure in the ear canal in real time and collects external environmental parameters and the user's activity parameters;

[0071] The control component executes a monitoring algorithm and an adaptive adjustment algorithm; the monitoring algorithm includes: based on the collected middle ear pressure data, performing preprocessing to exclude interference factors and obtaining target pressure data; if the target pressure data reaches the adjustment threshold, triggering the adaptive adjustment algorithm to perform ear pressure adjustment;

[0072] The adaptive adjustment algorithm includes: based on the collected external environmental parameters, the user's activity parameters and basic information, determining the user's adjustment threshold and adjustment target value, and controlling the adjustment component to act so that the real-time middle ear pressure value reaches the adjustment target value.

[0073] An adaptive adjustment system and method for the eustachian tube provided in this embodiment can monitor ear pressure in real time, dynamically adjust the opening state of the eustachian tube, and have the characteristics of non-invasiveness, portability and reliability.

[0074] Embodiment Two

[0075] An adaptive adjustment system for the eustachian tube has the following improvements on the basis of Embodiment One.

[0076] When determining the user's adjustment threshold, a reference value of the adjustment threshold is set according to the user's basic information; specifically, the reference value of the adjustment threshold is generated by a machine learning model. In this embodiment, a random forest model is used to fuse multi-dimensional data and generate a reference value:

[0077] P 基准 = f(age, gender, BMI, medical history, ear canal volume, behavior label)+∈; ∈ is a constant value.

[0078] Among them, P 基准 is the reference value of the adjustment threshold; age, gender, BMI, medical history, ear canal volume, behavior label respectively correspond to the age, gender, medical history, BMI index, 3D model of the ear canal, behavior habit data in the user's basic information data.

[0079] When training the random forest model, 1000 cases of user ear pressure adjustment data are clinically collected, the best threshold is marked, and a training set is formed.

[0080] An adaptive adjustment system and method for the eustachian tube provided in this embodiment can also intelligently generate the reference value of the adjustment threshold compared with Embodiment One, and has stronger self-adaptability.

[0081] The above are only embodiments of the present invention. Specific structures and characteristics and other common knowledge in the art are not described in detail herein. Those of ordinary skill in the art know all the common general technical knowledge in the technical field to which the invention pertains before the filing date or the priority date, can learn all the prior art in this field, and have the ability to apply conventional experimental means before this date. Those of ordinary skill in the art can, under the inspiration given in this application, combine their own abilities to complete and implement this solution. Some typical well-known structures or well-known methods should not become obstacles for those of ordinary skill in the art to implement this application. It should be noted that for those skilled in the art, without departing from the structure of the present invention, several deformations and improvements can still be made, and these should also be regarded as the protection scope of the present invention, and these will not affect the implementation effect of the present invention and the practicality of the patent.

Claims

1. An adaptive regulation system for the eustachian tube, characterized in that, Including: A monitoring component, an adjustment component, a power supply component, and a control component; the monitoring component includes a barometric pressure sensor for real-time monitoring of the middle ear pressure in the ear canal, and an auxiliary sensor group for collecting external environment parameters and user activity parameters; the adjustment component includes an air pump, a pressure holding chamber, and an air valve arranged on the same air path; the air pump is used to inflate and pressurize or evacuate and depressurize the pressure holding chamber; the pressure holding chamber is used to temporarily store gas and smooth the air flow; the air valve is used to switch the on / off of the air path; the power supply component is used to supply power to the monitoring component, the adjustment component, and the control component; The control component includes a controller; the controller is also communicatively connected to a control terminal; a monitoring algorithm and an adaptive adjustment algorithm are preset in the controller; an information collection module is provided in the control terminal; The information collection module is used to collect the basic information of the user; The monitoring algorithm includes: based on the collected middle ear pressure data, performing preprocessing to exclude interference factors and obtaining target pressure data; if the target pressure data reaches the adjustment threshold, triggering the adaptive adjustment algorithm to perform ear pressure adjustment; The adaptive adjustment algorithm includes: based on the collected external environment parameters, user activity parameters, and basic information, determining the user's adjustment threshold and adjustment target value, and controlling the adjustment component to act so that the real-time middle ear pressure value reaches the adjustment target value.

2. The adaptive adjustment system for the Eustachian tube according to claim 1, characterized in that: It further includes a head-mounted headphone rack; the monitoring component, the adjustment component, and the control component are integrated on the head-mounted headphone rack.

3. An adaptive regulation system for the eustachian tube according to claim 2, characterized in that, The pressure holding chamber includes a left chamber and a right chamber, the air valve includes a left air valve and a right air valve and is respectively communicated with the left chamber and the right chamber, and forms a left air distribution path and a right air distribution path; the head-mounted headphone rack includes a left ear chamber and a right ear chamber; in-ear silicone earplugs are provided at both the left ear chamber and the right ear chamber and are respectively communicated with the left air distribution path and the right air distribution path.

4. An adaptive regulation system for the eustachian tube according to claim 1, characterized in that, The external environment parameters include: environmental temperature, ear canal temperature, environmental pressure, environmental humidity, altitude; the user's activity parameters include: head posture, swallowing action, exercise state; the user's basic information includes: age, gender, medical history, BMI index, ear canal 3D model, behavior habit data.

5. The adaptive regulation system for the eustachian tube according to claim 1, characterized in that, The preprocessing includes using the Kalman filtering method to eliminate data noise and smoothing the data by combining the moving window average method.

6. An adaptive regulation system for the eustachian tube according to claim 4, characterized in that, When determining the user's adjustment threshold, first set a reference value of the adjustment threshold according to the user's basic information, then set a real-time correction factor based on the user's activity parameters and external environment parameters, correct the reference value according to the real-time correction factor, and obtain the final adjustment threshold.

7. An adaptive adjustment system for the eustachian tube according to claim 4, characterized in that, When determining the adjustment target value, a composite LSTM model is used to predict the trend of the eustachian tube opening pressure of the user and output the adjustment target value.

8. An adaptive regulation system for the eustachian tube according to claim 1, characterized in that, A background management module is further provided in the control terminal; the background management module is used for a doctor to set and modify the adjustment threshold, the parameters of the adaptive adjustment algorithm, and the safety boundary of the adjustment component.

9. An adaptive regulation system for the eustachian tube according to claim 1, characterized in that, A user interaction module is further provided in the control terminal; the user interaction module is used for the user to view the ear pressure value and the ear pressure adjustment state, for the user to input or modify the activity parameters and basic information, and for the user to fine-tune the ear pressure adjustment amplitude.

10. An adaptive adjustment method for the eustachian tube, characterized in that, Use an adaptive regulation system for the eustachian tube as described in claims 1-9 to monitor and regulate the state of the eustachian tube; the method includes the following steps: The user wears a head-mounted headphone rack and inserts the in-ear silicone earplug into the ear canal; The monitoring component monitors the middle ear pressure in the ear canal in real time and collects the external environment parameters and the user's activity parameters; The control component executes the monitoring algorithm and the adaptive regulation algorithm; the monitoring algorithm includes: based on the collected middle ear pressure data, performing preprocessing to exclude interference factors and obtaining the target pressure data; if the target pressure data reaches the regulation threshold, triggering the adaptive regulation algorithm to perform ear pressure regulation; The adaptive regulation algorithm includes: based on the collected external environment parameters, the user's activity parameters and the basic information, determining the user's regulation threshold and regulation target value, and controlling the regulation component to act so that the real-time middle ear pressure value reaches the regulation target value.

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