Nose electrical stimulation device, system and method

Abstract

The invention relates to the technical field of nose stimulation, in particular to a nose electrical stimulation device, system and method wherein the nose electrical stimulation device comprises a patch body; the first electrode group and the second electrode group are electrically connected, the first electrode group and the second electrode group are symmetrically arranged relative to the central axis of the patch body, and a switch piece is arranged on a path between the first electrode group and the second electrode group; the pressure sensors are arranged on the patch body, the number of the pressure sensors is 2n, n is an integer larger than or equal to 1, and the multiple pressure sensors are symmetrically arranged relative to the central axis of the patch body. The patch type flexible pressure sensors are symmetrically arranged, so that the pressure change of the nose wings can be collected without being inserted into the nasal cavity, and foreign body sensation is thoroughly eliminated. A traditional rod body structure is abandoned, the electrode group, the sensor and the processing unit are integrated on the flexible patch, and miniaturization and light weight of equipment are achieved. Through the design of the symmetrical electrode group and multiple switches, the stimulation mode can be flexibly switched.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of electrical stimulation, in particular to a nasal electrical stimulation device, system and method. BACKGROUND

[0002] The existing rhinitis treatment equipment has significant limitations in measurement method, portability and treatment adaptability. The traditional equipment invades the measurement, and the comfort is poor. The traditional rhinitis information collection device adopts a rod structure, and a pressure sensor is arranged in the rod structure. The nasal cavity data is collected by the rod inserted pressure sensor, which easily causes foreign body sensation, nasal mucosa stimulation and other discomfort, resulting in poor user compliance, especially for children and sensitive groups.

[0003] The rod structure leads to complicated equipment, and cannot realize miniaturization and integration, which limits the use at any time in commuting and other scenes. The equipment form is limited and cannot be miniaturized. Due to the existence of the rod collection structure, the equipment cannot be portable, which limits its use scene and cannot realize treatment anytime and anywhere.

[0004] In addition, the existing electrical stimulation mode is single and cannot stimulate the nose. The electrical stimulation adopts a fixed parameter and a bilateral synchronous output mode, which cannot stimulate the nose and easily causes excessive stimulation or insufficient treatment. The above defects make the existing equipment have obvious shortcomings in individualized treatment, user experience and clinical applicability. SUMMARY

[0005] Some simplifications or omissions may be made in this section, as well as in the summary of the specification and the title of the invention, in order to avoid obscuring the purpose of this section, the summary of the specification and the title of the invention, and such simplifications or omissions cannot be used to limit the scope of the present application.

[0006] To solve the problems of the prior art, one object of the present application is to provide a nasal electrical stimulation device, which comprises a patch body, a first electrode group arranged on the patch body, a second electrode group arranged on the patch body, the first electrode group and the second electrode group being electrically connected, the first electrode group and the second electrode group being symmetrically arranged with respect to the central axis of the patch body, and a switch being arranged on the passage between the first electrode group and the second electrode group, and a pressure sensor arranged on the patch body, the pressure sensor being provided with 2n, n being an integer greater than or equal to 1, the plurality of pressure sensors being symmetrically arranged with respect to the central axis of the patch body.

[0007] As a preferred scheme of the nasal electrical stimulation device, the first electrode group comprises a first positive electrode and a first negative electrode connected in an electric manner, and a first switch is arranged on a path between the first positive electrode and the first negative electrode; the second electrode group comprises a second positive electrode and a second negative electrode connected in an electric manner, and a second switch is arranged on a path between the second positive electrode and the second negative electrode.

[0008] As a preferred scheme of the nasal electrical stimulation device, the first positive electrode and the second negative electrode are connected in an electric manner, and a third switch is arranged on a path between the first positive electrode and the second negative electrode; the second positive electrode and the first negative electrode are connected in an electric manner, and a fourth switch is arranged on a path between the second positive electrode and the first negative electrode.

[0009] Another object of the present application is to provide a nasal electrical stimulation system, comprising: an electrode module for electrical stimulation of nasal tissue; a constant current source unit built in the electrode module; a pressure sensor for collecting pressure data of a nasal ala region and generating a pressure measurement value; a bioimpedance measurement unit for collecting bioimpedance data of the nasal tissue and generating an impedance measurement value, the constant current source unit being electrically connected with the bioimpedance measurement unit; a processing unit for constituting a measurement vector with the pressure measurement value and the impedance measurement value, generating a predicted state vector of a current time based on a state transition matrix and a state vector of a previous time, and generating a prediction error covariance; calculating a Kalman gain based on the prediction error covariance, an observation matrix and a measurement noise covariance, correcting the predicted state vector according to the Kalman gain and the measurement vector, and generating a current optimal state vector representing a degree of nasal patency; and the processing unit being electrically connected with the constant current source unit; the electrode module adjusting an output electrical stimulation parameter according to the current optimal state vector.

[0010] As a preferred scheme of the nasal electrical stimulation system, the state vector comprises a nasal patency index and a change rate of the nasal patency index.

[0011] As a preferred scheme of the nasal electrical stimulation system, the processing unit further applies the observation matrix to the predicted state vector and generates a predicted measurement vector; calculates a residual error between the measurement vector and the predicted measurement vector; multiplies the Kalman gain with the residual error, and adds the result to the predicted state vector to obtain the current optimal state vector. The processing unit is further configured to update the prediction error covariance for a prediction step of a next time; and determine the electrical stimulation parameter through a preset stimulation strategy mapping table based on the nasal patency index in the current optimal state vector.

[0012] Another object of the present application is to provide a nasal electrical stimulation method, comprising collecting pressure data of the alar region and bioimpedance data of the nasal tissue, and forming a measurement vector; performing a prediction step of a Kalman filtering algorithm, applying a state transition matrix to a state vector at a previous time to generate a predicted state vector at a current time; performing an update step of the Kalman filtering algorithm, calculating a Kalman gain, correcting the predicted state vector according to the measurement vector to generate a current optimal state vector representing the patency of the user's nasal cavity; and adjusting the electrical stimulation parameters based on the current optimal state vector.

[0013] As a preferred scheme of the nasal electrical stimulation method of the present application, the Kalman gain is calculated based on a prediction error covariance, an observation matrix and a measurement noise covariance; a residual between the measurement vector and a predicted state vector transformed by the observation matrix is calculated; and the predicted state vector is corrected according to the Kalman gain and the residual.

[0014] As a preferred scheme of the nasal electrical stimulation method of the present application, the error covariance is updated, the above steps are repeated, and closed-loop control at the next time is performed.

[0015] As a preferred scheme of the nasal electrical stimulation method of the present application, the nasal patency index in the current optimal state vector is compared with a preset threshold, and the corresponding electrical stimulation parameters are selected according to the comparison result.

[0016] The present application has the following beneficial effects: the patch-type flexible pressure sensor is symmetrically arranged, the pressure change of the alar region can be collected without being inserted into the nasal cavity, the foreign body sensation is completely eliminated, the wearing comfort and user compliance are improved. The traditional rod structure is abandoned, the electrode group, the sensor and the processing unit are integrated on the flexible patch, the miniaturization and light weight of the device are realized, and the device is suitable for daily wearing and use in multiple scenes. Through the symmetric electrode group and the multi-switch design, the unilateral non-cross-nose, bilateral independent and cross-nose stimulation modes can be flexibly switched. BRIEF DESCRIPTION OF DRAWINGS

[0017] In order to more clearly illustrate the technical solutions of the embodiments of the present application, the drawings needed in the embodiment description will be briefly introduced as follows. Obviously, the drawings in the following description are only some embodiments of the present application, and other drawings can be obtained by those skilled in the art without creative labor.

[0018] Figure 1 The structure diagram of the nasal electrical stimulation method of the present application.

[0019] Figure 2 The structure diagram of the nasal electrical stimulation method of the present application.

[0020] Figure 3Parts fitting diagram of the nasal electric stimulation method of the present application.

[0021] Figure 4 Parts sectional view of the nasal electric stimulation method of the present application. DETAILED DESCRIPTION

[0022] In order to make the objects, features and advantages of the present application more apparent, the specific embodiments of the present application will be described in detail below with reference to the accompanying drawings.

[0023] In the following description, numerous specific details are set forth in order to provide a thorough understanding of the present application. However, it will be apparent to one skilled in the art that the present application can be practiced without the specific details given herein, that the present application can be practiced with other than the described embodiments, and that the present application can be practiced with different or additional components. Therefore, the specific details set forth in the following description should not be taken as limiting the present application.

[0024] Secondly, the term "one embodiment" or "an embodiment" as used herein means that a particular implementation can include a particular feature, structure, or characteristic, but every embodiment can not necessarily include the particular feature, structure, or characteristic. Furthermore, the following described features, structures, or characteristics can be combined in one or more embodiments.

[0025] Embodiment 1

[0026] Reference Figure 1 The present embodiment is the first embodiment of the present application, which provides a nasal stimulation device. The device comprises a patch body 101, a first electrode group 102, a second electrode group 103, and a plurality of pressure sensors 105.

[0027] Specifically, the patch body 101 is the base of the entire device, and its shape and material are designed to be comfortable and stable to attach to the user's nose, for example, using medical-grade flexible silicone or non-woven fabric. The first electrode group 102 and the second electrode group 103 are electrically connected and arranged on the patch body 101. In order to adapt to the symmetrical structure of the nose, the first electrode group 102 and the second electrode group 103 are symmetrically arranged relative to the central axis of the patch body 101, corresponding to the left and right areas of the user's nose, respectively. In the electrical path between the first electrode group 102 and the second electrode group 103, a switch piece 104 is provided, which is used to control the on-off between the two first electrode groups 102 and the second electrode group 103.

[0028] The pressure sensor 105 is also arranged on the patch body 101, which functions to monitor and collect the slight pressure changes of the skin in the alar region of the user caused by the respiratory airflow. In order to comprehensively and accurately capture these signals, the number of pressure sensors 105 is 2n, where n is an integer ≥ 1. These multiple pressure sensors 105 are also symmetrically distributed relative to the central axis of the patch body 101, for example, n are arranged at the corresponding positions of the left ala nasi, and n are arranged at the corresponding positions of the right ala nasi, so as to symmetrically monitor the ventilation conditions of the bilateral nasal cavities.

[0029] Embodiment 2

[0030] With reference to Figures 1-3 This embodiment is a second embodiment of the present application, and is based on Embodiment 1.

[0031] Specifically, the first electrode group 102 internally contains a first positive electrode 102a and a first negative electrode 102b, which are connected by an electrical path, and a first switch 102c is arranged on the path. Similarly, the second electrode group 103 internally contains a second positive electrode 103a and a second negative electrode 103b, which are also connected by an electrical path, and a second switch 103c is arranged on the path.

[0032] By controlling the on-off of the first switch 102c and the second switch 103c, the first electrode group 102 and the second electrode group 103 can be independently controlled to form an independent stimulation circuit. For example, when the first switch 102c is closed, the current can flow between the first positive electrode 102a and the first negative electrode 102b, and precise non-cross-nose stimulation can be performed on the acupoints (such as the Yinxing acupoint and the Shangyinxing acupoint) of the unilateral ala. This independent control mode enhances the flexibility of the stimulation mode, can focus on the treatment of unilateral nasal congestion, and improves the treatment specificity.

[0033] Preferably, the switch member 104 is embodied as a third switch 104a and a fourth switch 104b. Among them, the first positive electrode 102a in the first electrode group 102 is electrically connected with the second negative electrode 103b in the second electrode group 103, and the third switch 104a is arranged on the path. At the same time, the second positive electrode 103a in the second electrode group 103 is electrically connected with the first negative electrode 102b in the first electrode group 102, and the fourth switch 104b is arranged on the path.

[0034] The design of the cross-connection enables the device to achieve cross-nose stimulation. When the third switch 104a and the fourth switch 104b are closed (while the first switch 102c and the second switch 103c are open), the current can flow from the positive electrode of one ala nasi to the negative electrode of the other ala nasi, forming a stimulation loop across the bridge of the nose. This cross-nose stimulation mode can act on the bilateral perinasal acupoints at the same time, producing a more extensive and deep stimulation effect, which can improve bilateral nasal congestion or overall nasal microcirculation. By combining the control of the first switch 102c, the second switch 103c, the third switch 104a, and the fourth switch 104b, the nasal stimulation device can flexibly switch or combine various stimulation modes such as left single loop, right single loop, and cross-nose cross loop, to adapt to different treatment needs.

[0035] Embodiment 3

[0036] With reference to Figures 1-4 The present embodiment provides a nasal electrical stimulation system, which includes an electrode module 200, a pressure sensor 105, a bioimpedance measurement unit 300, and a processing unit 400. The core of the present embodiment is how the processing unit 400 processes the sensor data using the Kalman filtering algorithm to achieve intelligent control. The Kalman filtering algorithm is prior art, and the present embodiment explains how to process the sensor data using the Kalman filtering algorithm.

[0037] Specifically, the electrode module 200 is used to apply electrical stimulation to the nasal tissue, and its specific structure can refer to the first electrode group 102 and the second electrode group 103 described in embodiments 1 and 2. The pressure sensor 105 is used to collect pressure data in the alar region and generate a pressure measurement value. The bioimpedance measurement unit 300 is used to collect bioimpedance data of the nasal tissue and generate an impedance measurement value. In a preferred scheme, the bioimpedance measurement unit 300 multiplexes the first electrode group 102 and the second electrode group 103 in the electrode module 200, applies a detection current, measures the voltage between the electrodes, and calculates the bioimpedance of the facial tissue between the two electrodes of the first electrode group 102 according to Ohm's law (Z=V / I). It is worth noting that when rhinitis (nasal congestion) occurs, the nasal mucosa will be congested, edematous, and the tissue fluid will increase, resulting in a change in the conductivity of the tissue in this area, thereby causing a change in the bioimpedance value. Therefore, bioimpedance is a key indicator that can directly reflect the physiological state of the nasal mucosa.

[0038] Preferably, the present application can be built-in constant current source unit 201 (such as using LM317 chip) in the electrode module 200, constant current source unit 201 is the prior art, not described. Among them, the core role of constant current source unit 201 is to maintain the constant output current through negative feedback regulation when the nasal skin impedance fluctuates, avoiding the treatment effect instability or skin discomfort caused by the fluctuation of stimulation intensity. For example: adjustable constant current function is realized through processing unit 400 and a digital-analog conversion module, processing unit 400 outputs digital instructions according to nasal patency index, and the digital-analog conversion module converts the digital instructions into corresponding voltage signals to control the reference voltage of the constant current source, thereby realizing continuous adjustment (step 0.1 mA) in the range of 0.1~2mA, adapting to the treatment needs of different inflammation degrees.

[0039] When the biological impedance measurement unit 300 detects the change of the nasal tissue impedance (such as from 30Ω to 45Ω), the processing unit 400 adjusts the output voltage (U=I×R) in real time through the feedback signal of the constant current source, ensuring that the current value remains at the set constant value (such as 1mA), and the fluctuation is controlled within ±0.05mA.

[0040] In cooperation with the stimulation mode, when unilateral non-cross-nose stimulation, the constant current value is fixed as the current optimal value (such as left nasal congestion is serious, left electrode group outputs 1.8mA constant current); when cross-nose stimulation, the current is dynamically allocated according to the difference between the bilateral patency (such as left index 20%, right index 50%, left path constant current 1.6mA, right path constant current 1.0mA).

[0041] Preferably, the processing unit 400 is responsible for the control of the whole nasal electrical stimulation system. First, the received pressure measurement value and impedance measurement value form a measurement vector. Then, the processing unit 400 executes Kalman filtering algorithm to estimate the real patency of the nasal cavity through a two-step process. The first step is prediction, and the processing unit 400 generates a predicted state vector at the current time based on a preset state transition matrix and the state vector at the previous time, and generates a prediction error covariance at the same time. The second step is updating, and the processing unit 400 calculates the Kalman gain based on the prediction error covariance generated in the prediction step, a preset observation matrix and a preset measurement noise covariance. Finally, the predicted state vector is corrected by using the Kalman gain and the current measurement vector, thereby generating a current optimal state vector which can most accurately represent the patency of the nasal cavity. The electrode module 200 adjusts the output electrical stimulation parameters in real time according to the current optimal state vector output by the processing unit 400.

[0042] To describe the nasal condition more comprehensively, the state vector in this embodiment is defined to contain two pieces of information: the nasal patency index and the rate of change of the index. The nasal patency index is a quantitative indicator (e.g. 0-100%) representing the severity of nasal congestion. The rate of change of the nasal patency index describes whether the nasal congestion is worsening, improving or stable.

[0043] To implement the update step of the Kalman filter, the specific operation process of the processing unit 400 is as follows: first, the processing unit 400 applies the observation matrix to the predicted state vector obtained previously to generate a predicted measurement vector. Then, the difference between the real measurement vector and the predicted measurement vector is calculated, which is called the residual. Next, the processing unit 400 multiplies the calculated Kalman gain with the residual and adds the result to the initial predicted state vector, and through this correction, the current optimal state vector is obtained. After completing an update, the processing unit 400 also updates the prediction error covariance to prepare for the prediction step in the next moment. After obtaining the current optimal state vector, the processing unit 400 extracts the nasal patency index therein and refers to a pre-set stimulation strategy mapping table to finally determine the electrical stimulation parameters to be output. For example, the mapping table can stipulate that when the patency index is below 30%, high-intensity stimulation is adopted; when the index is between 30% and 70%, medium-intensity stimulation is adopted; and when the index is above 70%, the intensity is reduced or the stimulation is paused.

[0044] Embodiment 4

[0045] With reference to Figures 1-4 This embodiment is the fourth embodiment of the application. This embodiment provides a nasal electrical stimulation method corresponding to the system in Embodiment 3. The core of the method is to apply the Kalman filter algorithm, and the specific steps are as follows: First, the pressure data of the alar region is collected by the pressure sensor 105, and the bioimpedance data of the nasal tissue is collected by the bioimpedance measurement unit 300, and the two data are constructed into a measurement vector. Then, the prediction step of the Kalman filter algorithm is performed, specifically, a pre-set state transition matrix is applied to the state vector at the previous moment to generate a predicted state vector at the current moment. Subsequently, the update step of the Kalman filter algorithm is performed, the core of this step is to calculate the Kalman gain and correct the predicted state vector according to the real measurement vector, and finally generate a current optimal state vector capable of representing the patency of the user's nasal cavity. Finally, based on this optimal state vector, the method dynamically adjusts the electrical stimulation parameters output to the electrodes.

[0046] In the update step, the process of calculating the Kalman gain is based on three key preset parameters: the prediction error covariance, the observation matrix, and the measurement noise covariance. After the Kalman gain is calculated, the residual between the true measurement vector and the predicted state vector transformed by the observation matrix is further calculated. Finally, according to the calculated Kalman gain and this residual, the final correction of the predicted state vector is made to obtain the optimal solution.

[0047] The method is a continuous closed-loop control process. After the end of a calculation period (one prediction and update), the method updates the value of the error covariance, and then carries the latest state vector and error covariance into the next calculation period, repeating the above steps of acquisition, prediction, update, and adjustment. This uninterrupted cycle enables the system to track the dynamic changes of the nasal state in real time and perform immediate feedback adjustment, achieving truly intelligent closed-loop control.

[0048] In the specific link of adjusting the electrical stimulation parameters, the nasal patency index extracted from the current optimal state vector is compared with one or more preset threshold values. For example, two threshold values T1 and T2 (such as 30% and 70%) are set. If the index is lower than T1, it is determined as severe nasal congestion, and the method selects high-intensity electrical stimulation parameters; if the index is between T1 and T2, it is determined as moderate nasal congestion, and the method selects medium-intensity parameters; if the index is higher than T2, it is determined as patency, and the method selects low-intensity or zero-intensity (pause) parameters. In this way, continuous state evaluation is converted into discrete or segmented control instructions to drive the electrode module to work.

[0049] In order to facilitate the understanding of the technical solutions of the present application, the working process is briefly described as follows: The user attaches the patch body containing the symmetrical first electrode group 102, the second electrode group 103, and the pressure sensor 105 to the nose. After the nasal electrical stimulation system is started, the pressure sensor 105 and the bioimpedance measurement unit 300 (the first electrode group 102 and the second electrode group 103 are reused) start to synchronously collect pressure and impedance data. The processing unit 400 receives these sensing data and performs fusion processing using the Kalman filtering algorithm. Through the continuous prediction-update cycle, the algorithm accurately estimates the real-time nasal patency index of the user. Finally, according to this index, by consulting the built-in stimulation strategy table, the stimulation intensity, frequency, and mode (such as non-cross-nose or cross-nose mode) output by the electrode are automatically and real-time adjusted, so as to realize personalized and efficient closed-loop treatment of rhinitis symptoms under the premise of ensuring comfort and safety.

[0050] It should be noted that the above examples are only used to illustrate the technical solutions of the present application but not limit the present application. Although the present application is described in detail with reference to the preferred embodiments, those skilled in the art should understand that the technical solutions of the present application can be modified or equivalently replaced, without departing from the spirit and scope of the technical solutions of the present application, which should be covered in the scope of the claims of the present application.

Claims

1. A nasal stimulation device, characterized by: The patch body (101) comprises: a first electrode group (102) disposed on the patch body (101); a second electrode group (103) disposed on the patch body (101), the first electrode group (102) and the second electrode group (103) are electrically connected and symmetrically disposed relative to the central axis of the patch body (101), and a switch piece (104) is disposed on the passage between the first electrode group (102) and the second electrode group (103); a pressure sensor (105) disposed on the patch body (101), the pressure sensor (105) is provided with 2n, n is an integer greater than or equal to 1, a plurality of pressure sensors (105) are symmetrically disposed relative to the central axis of the patch body (101). The first electrode group (102) comprises a first positive electrode (102a) and a first negative electrode (102b) electrically connected, and a first switch (102c) is disposed on the passage between the first positive electrode (102a) and the first negative electrode (102b); 2. The nasal stimulation device of claim 1, wherein: The second electrode group (103) comprises a second positive electrode (103a) and a second negative electrode (103b) electrically connected, and a second switch (103c) is disposed on the passage between the second positive electrode (103a) and the second negative electrode (103b). The first positive electrode (102a) and the second negative electrode (103b) are electrically connected, and a third switch (104a) is disposed on the passage between the first positive electrode (102a) and the second negative electrode (103b); the second positive electrode (103a) and the first negative electrode (102b) are electrically connected, and a fourth switch (104b) is disposed on the passage between the second positive electrode (103a) and the first negative electrode (102b).

3. The nasal stimulation device of claim 1, wherein: The patch body (101) comprises:

4. A nasal electrical stimulation system, characterized by: an electrode module (200) for electrically stimulating the nasal tissue, the electrode module (200) comprising a constant current source unit (201); a pressure sensor (105) for collecting pressure data of the alar region and generating a pressure measurement value; a bioimpedance measurement unit (300) for collecting bioimpedance data of the nasal tissue and generating an impedance measurement value, the constant current source unit (201) being electrically connected to the bioimpedance measurement unit (300); a processing unit (400) for constructing a measurement vector from the pressure measurement value and the impedance measurement value, generating a predicted state vector at the current time based on a preset state transition matrix to a state vector at the previous time, and generating a prediction error covariance; further calculating a Kalman gain based on the prediction error covariance, an observation matrix and a measurement noise covariance, correcting the predicted state vector according to the Kalman gain and the measurement vector, and generating a current optimal state vector representing the degree of nasal patency; and the processing unit (400) is electrically connected to the constant current source unit (201); The electrode module (200) adjusts the output of the electric stimulation parameters according to the current optimal state vector. The state vector comprises a nasal patency index and a change rate of the nasal patency index.

5. The nasal electrostimulation system of claim 4, wherein: ​ 6. The nasal electrostimulation system of claim 4, wherein: The processing unit (400) also applies an observation matrix to the predicted state vector and generates a predicted measurement vector; calculates a residual between the measurement vector and the predicted measurement vector; multiplies a Kalman gain with the residual and adds the result to the predicted state vector to obtain a current optimal state vector; The processing unit (400) is further configured to update the prediction error covariance for a prediction step in the next time instant; The processing unit (400) determines the electrical stimulation parameters by a preset stimulation strategy mapping table based on the nasal patency index in the current optimal state vector.

7. A method for nasal electrical stimulation, characterized in that: Pressure data of a nasal ala region and bioimpedance data of nasal tissues are collected and constitute a measurement vector; A prediction step of a Kalman filtering algorithm is performed to apply a state transition matrix to a state vector in a previous time instant to generate a predicted state vector in a current time instant; An update step of the Kalman filtering algorithm is performed to calculate a Kalman gain, correct the predicted state vector according to the measurement vector, and generate a current optimal state vector representing a nasal patency degree of a user; Based on the current optimal state vector, electrical stimulation parameters are adjusted.

8. The nasal electrical stimulation method of claim 7, wherein: Further comprising, The Kalman gain is calculated based on the prediction error covariance, the observation matrix and a measurement noise covariance; A residual between the measurement vector and the predicted state vector transformed by the observation matrix is calculated; The predicted state vector is corrected according to the Kalman gain and the residual.

9. The nasal electrical stimulation method of claim 7, wherein: The error covariance is updated, the above steps are repeated, and closed-loop control in the next time instant is performed.

10. The nasal electrical stimulation method of claim 7, wherein: Further comprising, The nasal patency index in the current optimal state vector is compared with a preset threshold value, and corresponding electrical stimulation parameters are selected according to a comparison result.

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