A smart device for children's breathing training and its usage method

Abstract

The present application relates to the field of medical devices and digital health technology, in particular to a kind of children's respiratory training device intelligent device and its using method, including silica gel nozzle, plastic inlet piece, mode disc, silica gel suction valve, adjusting spring, frequency ball, airway cavity, intensity disc, detection module, air inlet and outlet grid, spring sliding member, silica gel exhale valve and mapping system;The mapping system includes adaptive algorithm module and game mapping module;The adaptive algorithm module is based on the personal information of user to calculate the gear required by user and training mode;The game mapping module is based on the game scene and training feedback mode of user's respiratory training setting.This application adjusts breathing pattern and training intensity through pure mechanical structure, solves the problem of insufficient user compliance through respiratory training combined with game dynamic mapping engine, and solves the problem of individual difference through adaptive algorithm.

Description

Technical Field

[0001] This invention relates to the fields of medical devices and digital health technology, and in particular to a smart device for children's breathing training and its usage method. Background Technology

[0002] A search revealed Chinese patent CN119548724A, which discloses a respiratory training assistive device for critically ill patients, relating to the field of medical auxiliary technology. The device includes a housing and a support plate. An air pump is fixedly mounted on the upper surface of the housing, and an operating table is fixedly mounted on the inner side of the housing. An auxiliary mechanism is provided between the air pump and the operating table. The housing is fixedly mounted on the upper surface of the support plate. A groove is formed on the left side of the housing, and a fixing bracket is fixedly mounted on the inner side of the housing. A breathing mechanism is provided between the housing and the fixing bracket. This respiratory training assistive device for critically ill patients transmits oxygen to two sets of sealed chambers via connecting pipes. Springs one and two repeatedly press the airbag to perform expansion and contraction movements, facilitating the adjustment of the patient's breathing. A limiting plate limits the airbag to prevent it from jumping too quickly. The support plate provides fixed support for the housing, and a pulley system is used to move the housing, saving nursing staff effort. However, in actual use, this solution still has the following shortcomings:

[0003] The aforementioned devices are bulky, making them inconvenient for patients to use at home and carry, limiting their ability to perform breathing exercises at any time. Patients need to stay indoors for extended periods to perform these exercises, which can negatively impact their mood during treatment and hinder their recovery. Furthermore, the devices require manual adjustment of the resistance during breathing exercises, which cannot be readily adjusted according to the patient's needs. This is particularly difficult for some weaker patients to manage. Prolonged exposure to excessively high resistance can lead to breathing difficulties and hypoxia, while prolonged exposure to excessively low resistance may diminish the effectiveness of rehabilitation training, both of which are detrimental to treatment. These drawbacks are even more pronounced in children.

[0004] For example, the equipment requires professional personnel to adjust the modes / levels, making it difficult for families to use. The tedious training causes 70% of children to give up halfway through, and the universal level settings cannot match the differences in children's weight and disease.

[0005] This invention proposes a technical solution: a breathing training device specifically designed for pediatric patients. Summary of the Invention

[0006] To address the aforementioned technical problems, this invention proposes an intelligent device for children's breathing training and its usage method. The technical solution of this invention is implemented as follows:

[0007] The present invention discloses a smart device for a child breathing trainer, comprising a silicone nozzle, a plastic inlet component, a mode disc, a silicone suction valve, an adjusting spring, a frequency ball, an airway cavity, an intensity disc, a detection module, an inlet / outlet air grid, a spring slider, a silicone exhalation valve, and a mapping system.

[0008] The silicone nozzle is connected to the plastic inlet piece, the plastic inlet piece is connected to the first end of the airway cavity, the pattern disk is rotatably installed between the plastic inlet piece and the airway cavity, the second end of the airway cavity is connected to the first end of the detection module, the strength disk is rotatably disposed between the airway cavity and the detection module, and the second end of the detection module is connected to the inlet and outlet air grille;

[0009] The strength plate is provided with a number of first through holes, and the airway cavity is provided with a number of channels corresponding to the first through holes along the axial direction.

[0010] The mode disk is provided with a third through hole;

[0011] The channel is divided into an exhalation channel and an inhalation channel;

[0012] The mapping system includes an adaptive algorithm module and a training feedback module;

[0013] The adaptive algorithm module includes personal user information collection and an adaptive algorithm;

[0014] The game mapping module sets up game scenarios based on the user's breathing training.

[0015] The detection module includes a flow sensor and a wireless communication module.

[0016] Preferably, the third through hole is semi-circular, and there are two exhalation channels and two inhalation channels, which are evenly opened on the end face of the airway cavity. An exhalation slide rail is opened on the side of the airway cavity between the two exhalation channels, and an inhalation slide rail is opened on the side of the airway cavity between the two inhalation channels. The exhalation slide rail has a first opening groove on the side near the silicone nozzle, and the inhalation slide rail has a second opening groove on the side near the silicone nozzle. A silicone exhalation valve is inserted into the first opening groove, and a silicone inhalation valve is inserted into the second opening groove.

[0017] Preferably, the left and right sidewalls of the first opening groove are respectively provided with one-way exhalation holes. The shape of the silicone exhalation valve is adapted to the first opening groove and is a hollow structure. The opening of the silicone exhalation valve faces the arcuate side of the airway cavity. An exhalation one-way valve is installed on each of the left and right sides of the silicone exhalation valve. The small opening of the exhalation one-way valve extends into the one-way exhalation hole, and its large opening is installed on the side of the silicone exhalation valve. The left and right sidewalls of the second opening groove are respectively provided with one-way inhalation holes. The shape of the silicone inhalation valve is adapted to the second opening groove and is a hollow structure. The opening of the silicone inhalation valve faces the arcuate side of the airway cavity. An inhalation one-way valve is installed on each of the left and right sides of the silicone inhalation valve. The large opening of the inhalation one-way valve covers the one-way inhalation hole, and its small opening is installed on the sidewall of the silicone inhalation valve.

[0018] Preferably, the exhalation slide rail is provided with a first opening groove, an oscillating breathing block, a frequency ball, an adjusting spring and a pre-tightening switch in sequence along the axial direction. The oscillating breathing block is hollow inside. The left and right sides of the oscillating breathing block are respectively provided with oscillating air inlets leading to the left and right exhalation channels. The oscillating breathing block is provided with an oscillating air outlet in the axial direction below. The frequency ball abuts against the oscillating air outlet.

[0019] Meanwhile, this invention also discloses a smart method for using a children's breathing trainer, employing the aforementioned smart device for children's breathing trainers. Personal information includes the user's weight, age, and disease type. The method includes the following steps:

[0020] Step 1: Personal User Information Collection. Fill in the user's weight, age, and disease type into the personal information collection form. The personal information collection form will be used to collect data in the following steps.

[0021] Q1: How often did your child wake up at night due to wheezing / coughing in the past 4 weeks? Options and scores: A. Never, 0 points; B. 1-2 times, 1 point; C. Once a week, 2 points; D. ≥2 times / week, 3 points.

[0022] Q2: Degree of breathing difficulty during exercise, options and scores: A. None, score 0; B. Mild / Can continue exercising, score 1; C. Moderate / Need to slow down, score 2; D. Severe / Need to stop, score 3.

[0023] Q3: Frequency of use of emergency medications, options and scores: A. No use: 0 points; B. ≤2 times / month: 1 point; C. 1-2 times / week: 2 points; D. ≥3 times / week: 3 points.

[0024] Q4: Resting respiratory rate / measured after sitting still for 5 minutes, options and scores: A. ≤20 breaths / min, score 0; B. 21-25 breaths / min, score 1; C. 26-30 breaths / min, score 2; D. >30 breaths / min, score 3.

[0025] Q5: Age and weight, options and sub-data, age: value / years, weight: value / kg;

[0026] Please fill in all the above data into the personal information collection form;

[0027] Step 2: Input the user's personal information into the mapping system;

[0028] Step 3: The adaptive algorithm module determines the training gear based on the input user information and the adaptive algorithm used;

[0029] Step 4: Adjust the exhalation or inhalation mode using the mode dial, and adjust the exhalation or inhalation intensity using the intensity dial according to the training level.

[0030] Step 5: When the user is training, the detection module detects the user's training information in real time and uploads it to the external communication device and training feedback module via the wireless communication module; the training feedback module displays the user's training status and provides positive and negative feedback through the display device.

[0031] Step 6: The user ends the breathing training or begins the next round of breathing training.

[0032] Preferably, in step 3, the calculation process of the adaptive algorithm is as follows:

[0033] Step 3-1: Calculate the total score of the severity of daily breathing symptoms, S. Question Q1 corresponds to nighttime symptoms, Q2 corresponds to exercise-induced dyspnea, and Q3 corresponds to the use of emergency medications. These questions are specifically used to assess daily breathing stability. The scores of the three questions are directly added together to obtain the total symptom score: S = (Q1 + Q2 + Q3), S range: 0~9 points.

[0034] Clinical significance: The higher the score, the greater the need for respiratory system compensation;

[0035] Step 3-2: Calculate the symptom suppression coefficient α with a weight of 50% (the primacy of symptom control), α = 1 − 9 / S, where S ranges from 0 to 9 points;

[0036] The more severe the symptoms, the higher S becomes, and the lower α becomes → forcibly reducing the gear level; achieving a negative mapping from symptom severity to gear level;

[0037] Step 3-3: Calculate the respiratory efficiency coefficient β with a weight of 30%, β = 1 − R / 3 / 3, where R is the Q4 score of 0~3 points;

[0038] The faster the resting breathing, the higher the R value, and the smaller the β value, which leads to a reduction in gear and a forced decrease in training intensity.

[0039] Steps 3-4: Calculate the physiological potential coefficient γ with a weight of 20%, γ=(V−Vmin) / (Vmax−Vmin)V, where V is the age-appropriate respiratory volume;

[0040] Where respiratory volume V: follows the Shizgal-Rosa model.

[0041] Vmin=9.52, Vmax=17.54; Vmin and Vmax are not completely fixed, but are normalized baseline values ​​in the algorithm. In the gear formula, the actual breathing volume is mapped to the [0,1] interval: when V=Vmin→γ=0, the lung function is the weakest, and when V=Vmax→γ=1, the lung function is the strongest.

[0042] The greater the lung function potential, the higher the tidal volume (V), and the greater the gamma (γ) level, the higher the lung function potential. The core principle is that personalized tidal volume parameters are automatically generated for different body weights, which accurately reflect lung function potential.

[0043] Weighted design principle: Symptom coefficient α accounts for 50%: ensuring safety first; respiratory efficiency β accounts for 30%: real-time functional constraints; physiological potential γ accounts for 20%: individualized intensity calibration.

[0044] Symptom-driven layer: The total symptom score S and the derivation coefficient α are calculated through dedicated questions Q1-Q3. Independent parameter layer: Q4 respiratory rate and Q5 (age and weight) are used as independent inputs. Respiratory efficiency downgrading mechanism: Q4 is converted into R value, and β=1-R / 3 is used to realize that the higher the frequency, the lower the level. Weight-tidal volume fitting mechanism: Q5 weight data is used to generate personalized tidal volume V through a piecewise linear formula.

[0045] Steps 3-5: Determine the final gear D, D=round(1+5*(0.5α+0.3β+0.2γ)), D: gears 1~6, round D to the nearest integer.

[0046] Preferably, in step 5, the positive and negative feedback includes training time, training completion rate, and training intensity.

[0047] The advantages of this invention are as follows:

[0048] First, by adjusting the intensity of breathing training through a purely mechanical structure, this invention solves the problems of high cost and complex operation of traditional breathing trainers. In addition, this invention has created a unique structure that allows switching between exhalation and inhalation training at any time via a mode disc. Compared with traditional devices that can only be used for exhalation or inhalation training, this invention is more versatile, more cost-effective, and has greater market promotion value.

[0049] Secondly, by combining breathing training with a game dynamic mapping engine, we can address the issues of insufficient concentration and poor compliance among users (mostly children) during training. The game mapping module provides real-time positive and negative feedback to enhance users' initiative in breathing training.

[0050] Third, the problem of individual differences is solved by using adaptive algorithms, which generate training modes and training intensities that match the user based on the user's personal information. Attached Figure Description

[0051] To more clearly illustrate the technical solutions in the embodiments of the present invention or the prior art, the drawings used in the description of the embodiments or the prior art will be briefly introduced below. Obviously, the drawings described below are only one embodiment of the present invention. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0052] Identical parts are indicated by the same reference numerals. It should be noted that the terms "front," "rear," "left," "right," "up," and "down" used in the following description refer to directions in the accompanying drawings, while the terms "bottom surface," "top surface," "inner," and "outer" refer to directions toward or away from the geometric center of a specific part, respectively.

[0053] Figure 1 This is a schematic diagram of an embodiment of a smart device for children's breathing training.

[0054] Figure 2 for Figure 1 The flowchart of the embodiment shown is shown.

[0055] Figure 3 This is a partial enlarged view of the airway cavity of the present invention.

[0056] Figure 4 For the present invention Figure 3 A cross-sectional view of the end face with the one-way exhalation orifice as the axial positioning point, along... Figure 3 Sectional view of the tangent to the AA arc.

[0057] Figure 5 For the present invention Figure 3 A cross-sectional view along the axial direction of the center position of the exhalation slide rail.

[0058] Figure 6 This is a state diagram showing the state of the oscillation mode activated by the pressure release portion of the adjusting spring according to the present invention.

[0059] Figure 7 This is a diagram showing the initial state of the adjusting spring of the present invention, which compresses the frequency ball to press against the oscillation outlet.

[0060] Figure 8 This is a diagram showing the state of the strength disc of the present invention when it rotates 9 degrees as one gear.

[0061] Figure 9 This is a diagram showing the state of the strength disc of the present invention when it rotates 27 degrees to the third gear.

[0062] In the above figures, the figure numbers indicate the following:

[0063] 1. Silicone nozzle; 2. Plastic inlet component; 3. Mode disc; 4. Silicone suction valve; 5. Adjusting spring; 6. Frequency ball; 7. Airway cavity; 8. Intensity disc; 9. Detection module; 10. Inlet / outlet air grille; 11. Spring slider; 11-1. Pre-tightening switch; 12. Silicone exhalation valve; 13. First through hole; 14. Third through hole; 15. Exhalation channel; 16. Inhalation channel; 17. Exhalation slide rail; 18. Inhalation slide rail; 19. First opening slot; 20. Second opening slot; 21. One-way exhalation port; 22. One-way exhalation valve; 23. One-way inhalation port; 24. One-way inhalation valve; 25. Oscillating breathing block; 26. Oscillating air inlet; 27. Oscillating air outlet. Detailed Implementation

[0064] The technical solutions of the present invention will now be clearly and completely described with reference to the embodiments and accompanying drawings. Obviously, the described embodiments are only a part of the embodiments of the present invention, and not all of them. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention.

[0065] Unless otherwise defined, all technical and scientific terms used in this invention have the same meaning as commonly understood by one of ordinary skill in the art to which this invention pertains; the terminology used in the detailed description is for the purpose of describing particular embodiments only and is not intended to limit the invention; the terms “comprising” and “having”, and any variations thereof, in the specification, claims, and foregoing description of the drawings are intended to cover non-exclusive inclusion.

[0066] In the description of specific embodiments of the present invention, technical terms such as "first" and "second" are used only to distinguish different objects and should not be construed as indicating or implying relative importance or implicitly specifying the number, specific order, or primary and secondary relationship of the indicated technical features. In the description of the embodiments of the present invention, "multiple" means two or more, unless otherwise explicitly defined.

[0067] In this invention, the reference to "embodiment" means that a specific feature, structure, or characteristic described in connection with an embodiment may be included in at least one embodiment of the invention. The appearance of this phrase in various places in the specification does not necessarily refer to the same embodiment, nor is it a separate or alternative embodiment mutually exclusive with other embodiments. It will be explicitly and implicitly understood by those skilled in the art that the embodiments described in this invention can be combined with other embodiments.

[0068] In the description of the embodiments of this invention, the term "and / or" is merely a description of the relationship between associated objects, indicating that three relationships can exist. For example, A and / or B can represent: A existing alone, A and B existing simultaneously, or B existing alone. Additionally, in this invention, the character " / " generally indicates that the preceding and following associated objects have an "or" relationship.

[0069] The embodiments of the present invention will be described in more detail below through examples. It should be noted that the embodiments of the present invention are not limited to these examples.

[0070] In one specific embodiment, such as Figure 1 and Figure 2 as well as Figure 3 As shown, the present invention discloses a smart device for children's breathing training, including a silicone nozzle 1, a plastic inlet part 2, a mode disc 3, a silicone suction valve 4, an adjusting spring 5, a frequency ball 6, an airway cavity 7, an intensity disc 8, a detection module 9, an inlet and outlet air grille 10, a spring slider 11, a silicone exhalation valve 12, and a mapping system.

[0071] The silicone nozzle 1 is connected to the plastic inlet component 2. The plastic inlet component 2 is connected to the first end of the airway cavity 7. The mode disk 3 is rotatably installed between the plastic inlet component 2 and the airway cavity 7. The second end of the airway cavity 7 is connected to the first end of the detection module 9. The strength disk 8 is rotatably disposed between the airway cavity 7 and the detection module 9. The second end of the detection module 9 is connected to the inlet and outlet air grille.

[0072] The strength plate 8 is provided with a plurality of first through holes 13, and the airway cavity 7 is provided with a plurality of channels corresponding to the first through holes 13 along the axial direction.

[0073] The mode disk 3 is provided with a third through hole 14;

[0074] The channel is divided into an exhalation channel 15 and an inhalation channel 16;

[0075] The mapping system includes an adaptive algorithm module and a training feedback module;

[0076] The adaptive algorithm module includes personal user information collection and an adaptive algorithm;

[0077] The game mapping module sets up game scenarios based on the user's breathing training.

[0078] The detection module includes a flow sensor and a wireless communication module.

[0079] Preferably, such as Figure 4 , Figure 8 , Figure 9As shown, the third through hole 14 is semi-circular. There are two exhalation channels 15 and two inhalation channels 16, which are evenly opened on the end face of the airway cavity 7. An exhalation slide rail 17 is opened on the side of the airway cavity 7 between the two exhalation channels 15, and an inhalation slide rail 18 is opened on the side of the airway cavity 7 between the two inhalation channels 16. The exhalation slide rail 17 has a first opening groove 19 on the side near the silicone nozzle 1, and the inhalation slide rail 18 has a second opening groove 20 on the side near the silicone nozzle 1. A silicone exhalation valve 12 is inserted into the first opening groove 19, and a silicone inhalation valve 4 is inserted into the second opening groove.

[0080] The above-described preferred structure determines the specific angle of the mode disc, the number of exhalation channels and inhalation channels, and thus sets the mode of switching between exhalation and inhalation with a 180-degree boundary.

[0081] Preferably, such as Figure 3 , Figure 4 and Figure 5 As shown, the left and right sidewalls of the first opening groove 19 are respectively provided with one-way exhalation holes 21. The shape of the silicone exhalation valve 12 is adapted to the first opening groove 19 and is a hollow structure. The opening of the silicone exhalation valve 12 faces the arcuate side of the airway cavity 7. One-way exhalation valves 22 are respectively installed on the left and right sides of the silicone exhalation valve 12. The small opening of the one-way exhalation valve 22 extends into the one-way exhalation hole 21, and its large opening is installed on the side of the silicone exhalation valve 12. The left and right sidewalls of the second opening groove 20 are respectively provided with one-way inhalation holes 23. The shape of the silicone inhalation valve 4 is adapted to the second opening groove 20 and is a hollow structure. The opening of the silicone inhalation valve 4 faces the arcuate side of the airway cavity 7. One-way inhalation valves 24 are respectively provided on the left and right sides of the silicone inhalation valve 4. The large opening of the one-way inhalation valve 24 covers the one-way inhalation hole 23, and its small opening is installed on the sidewall of the silicone inhalation valve 4.

[0082] The purpose of the aforementioned preferred structure is to introduce an action where inhalation and exhalation can only be performed through this device, i.e., using only the mouth for inhalation and exhalation, not the nose. This is why the exhalation one-way valve and inhalation one-way valve are designed. To explain the gas flow after this setup: the user first exhales through the exhalation channel (oscillation mode is off), then inhales through the large opening of the silicone exhalation valve – exhalation one-way valve – exhalation one-way orifice – exhalation channel, completing the inhalation. In other words, both inhalation and exhalation are achieved through the mouth, thus completing the action training. Similarly, when the user inhales in inhalation mode, they inhale through the inhalation channel. Exhaling then occurs through the inhalation channel – inhalation one-way orifice – inhalation one-way valve – silicone inhalation valve. Here, the exhalation and inhalation one-way valves have opposite structural directions and both use a duckbill-type one-way valve structure. Figure 4The direction of the arrow indicates the direction of gas flow.

[0083] Preferably, such as Figure 5 , Figure 6 and Figure 7 As shown, the exhalation slide rail 17 is provided with a first opening groove 19, an oscillating breathing block 25, a frequency ball 6, an adjusting spring 5, and a pre-tightening switch 11-1 in sequence along the axial direction. The oscillating breathing block 25 is hollow inside. The left and right sides of the oscillating breathing block 25 are respectively provided with oscillating air inlets 26 leading to the left and right exhalation channels. The oscillating breathing block 25 is provided with an oscillating air outlet 27 in the axial direction below. The frequency ball 6 abuts against the oscillating air outlet 27.

[0084] The preferred structure described above is provided on the exhalation slide rail, such as... Figure 7 This is the off state of OPEP mode. At this time, the spring is pressed to the minimum, forcing the frequency ball to press tightly against the oscillating air outlet. To turn on OPEP mode, simply adjust the spring to release some pressure. Then, the user's exhalation can pass through the oscillating air inlet and oscillating air outlet of the oscillating breathing block in sequence, thus turning on OPEP mode.

[0085] In this embodiment, personal information includes the user's weight, age, and disease type. In this embodiment, the intensity disc 8 has several graduations on its outer circumference. In this embodiment, the detection module 9 includes a flow sensor and a wireless communication module.

[0086] In this embodiment, the stiffness gradient of the adjusting spring 5 is 5N / mm-25N / mm.

[0087] The specific operation process of this embodiment is as follows:

[0088] A method for using a smart pediatric breathing trainer is disclosed. The method utilizes the aforementioned smart pediatric breathing trainer device, and the personal information includes the user's weight, age, and disease type. The method includes the following steps:

[0089] Step 1: Collection of personal user information. Please fill in the personal information collection form below with the user's weight, age, and type of illness.

[0090]

[0091] Step 2: Input the user's personal information into the mapping system;

[0092] Step 3: The adaptive algorithm module calculates the user's required gear and training mode based on the user's personal information;

[0093] Step 4: Adjust the exhalation or inhalation mode using the mode dial, and adjust the exhalation or inhalation intensity using the intensity dial.

[0094] Step 5: When the user is training, the detection module detects the user's training information in real time and uploads it to the external communication device and the game mapping module through the wireless communication module; the game mapping module displays the user's training status and provides positive and negative feedback through the display device.

[0095] Step 6: The user ends the breathing training or begins the next round of breathing training.

[0096] Preferably, in step 3, the calculation process of the adaptive algorithm is as follows:

[0097] Step 3-1: Calculate the total score of the severity of daily breathing symptoms, S. Question Q1 corresponds to nighttime symptoms, Q2 corresponds to exercise-induced dyspnea, and Q3 corresponds to the use of emergency medications. These questions are specifically used to assess daily breathing stability. The scores of the three questions are directly added together to obtain the total symptom score: S = (Q1 + Q2 + Q3), S range: 0~9 points.

[0098] Clinical significance: The higher the score, the greater the need for respiratory system compensation;

[0099] Step 3-2: Calculate the symptom suppression coefficient α with a weight of 50% (the primacy of symptom control), α = 1 − 9 / S, where S ranges from 0 to 9 points;

[0100] The more severe the symptoms, the higher S becomes, and the lower α becomes → forcibly reducing the gear level; achieving a negative mapping from symptom severity to gear level;

[0101] Step 3-3: Calculate the respiratory efficiency coefficient β with a weight of 30%, β = 1 − R / 3 / 3, where R is the Q4 score of 0~3 points;

[0102] The faster the resting breathing, the higher the R value, and the smaller the β value, which leads to a reduction in gear and a forced decrease in training intensity.

[0103] Steps 3-4: Calculate the physiological potential coefficient γ with a weight of 20%, γ=(V−Vmin) / (Vmax−Vmin)V, where V is the age-appropriate respiratory volume;

[0104] Where respiratory volume V: follows the Shizgal-Rosa model.

[0105] Vmin=9.52, Vmax=17.54;

[0106] Vmin and Vmax are not completely fixed; they are normalized baseline values ​​in the algorithm, mapping the actual breathing volume to the [0,1] interval in the gear formula: when V=Vmin→γ=0, lung function is the weakest; when V=Vmax→γ=1, lung function is the strongest.

[0107] The greater the lung function potential, the higher the tidal volume (V), and the greater the gamma (γ) level, the higher the lung function potential. The core principle is that personalized tidal volume parameters are automatically generated for different body weights, which accurately reflect lung function potential.

[0108] Weighted design principle: Symptom coefficient α accounts for 50%: ensuring safety first; respiratory efficiency β accounts for 30%: real-time functional constraints; physiological potential γ accounts for 20%: individualized intensity calibration.

[0109] Symptom-driven layer: The total symptom score S and the derivation coefficient α are calculated through dedicated questions Q1-Q3. Independent parameter layer: Q4 respiratory rate and Q5 (age and weight) are used as independent inputs. Respiratory efficiency downgrading mechanism: Q4 is converted into R value, and β=1-R / 3 is used to realize that the higher the frequency, the lower the level. Weight-tidal volume fitting mechanism: Q5 weight data is used to generate personalized tidal volume V through a piecewise linear formula.

[0110] Steps 3-5: Determine the final gear D, D=round(1+5*(0.5α+0.3β+0.2γ)), D: gears 1~6, round D to the nearest integer.

[0111] Preferably, in step 5, the positive and negative feedback includes training time, training completion rate, and training intensity. Taking inhalation training as an example:

[0112] Rotate the mode dial 3 180 degrees clockwise to the inhalation training mode, and select the training intensity by rotating the intensity dial 8 according to the suggestions given by the adaptive algorithm. In this embodiment, the training intensity can be divided into 6 levels, with the intensity increasing evenly. The entire training process only requires breathing through the mouth; inhalation is subject to resistance, while exhalation is natural and does not increase resistance through the silicone inhalation valve 4 (one-way).

[0113] Take exhalation training as an example:

[0114] Rotate the mode dial 3 counterclockwise 180 degrees to the exhalation training mode, ensuring the spring slider 11 is positioned closest to the silicone nozzle 1, and press the pre-tightening switch to lock its position. Then, based on the recommendations from the adaptive algorithm, rotate the intensity dial 8 to select the training intensity. The training intensity is divided into 6 levels, with the intensity increasing evenly. Throughout the training process, only mouth breathing is required; exhalation encounters resistance, while inhalation is unidirectional through the silicone exhalation valve 12 without increasing resistance.

[0115] oPEP (Oscillating Positive Expiratory Pressure) training:

[0116] Rotate the mode dial 3 counterclockwise 180 degrees to the exhalation training mode, and ensure that the spring slider 11 is positioned anywhere within the track, outside the limit point closest to the silicone nozzle 1. Then, based on the suggestions from the adaptive algorithm, rotate the intensity dial 8 to select the training intensity, fix the position, and release the pre-tightening switch. After that, adjust the spring slider 11 steplessly to adjust the pressure of the spring 5 on the frequency ball 6, changing the jumping frequency. The entire training process only requires breathing through the mouth; exhalation encounters resistance, while inhalation is unidirectional through the silicone exhalation valve 12 without increasing resistance.

[0117] S4, during user training, the detection module 9 detects user training information in real time and uploads it to external communication devices and the game mapping module via wireless communication. The game mapping module displays the user's training status and provides positive and negative feedback through a display device.

[0118] In this embodiment, a detection module 9 is set between the intensity disc 8 and the inlet / outlet air grille 10. This module uses a flow sensor to detect real-time data during inhalation training, exhalation training, and PEP training. It also transmits signals to a mobile app via a wireless communication module (e.g., Bluetooth), corresponding to dynamic mapping in games.

[0119] In this embodiment, the game mapping process is as follows: Figures 3-5 As shown.

[0120] This embodiment also adds a synchronization mechanism and an achievement mechanism to the game mapping module.

[0121] Synchronization mechanism: Bluetooth data (100ms / packet) is matched to the game's 60fps frame rate through cubic spline interpolation.

[0122] Achievement Mechanism: The "Breathing Little Warrior" badge is unlocked after a user completes the training for five consecutive days.

[0123] S5, the user ends the breathing training or begins the next round of breathing training.

[0124] In this embodiment, the calculation process of the adaptive algorithm is as follows:

[0125] Step 3-1: Calculate the total score of the severity of daily breathing symptoms, S. Question Q1 corresponds to nighttime symptoms, Q2 corresponds to exercise-induced dyspnea, and Q3 corresponds to the use of emergency medications. These questions are specifically used to assess daily breathing stability. The scores of the three questions are directly added together to obtain the total symptom score: S = (Q1 + Q2 + Q3), S range: 0~9 points.

[0126] Clinical significance: The higher the score, the greater the need for respiratory system compensation;

[0127] Step 3-2: Calculate the symptom suppression coefficient α with a weight of 50% (the primacy of symptom control), α = 1 − 9 / S, where S ranges from 0 to 9 points;

[0128] The more severe the symptoms, the higher S becomes, and the lower α becomes → forcibly reducing the gear level; achieving a negative mapping from symptom severity to gear level;

[0129] Step 3-3: Calculate the respiratory efficiency coefficient β with a weight of 30%, β = 1 − R / 3 / 3, where R is the Q4 score of 0~3 points;

[0130] The faster the resting breathing, the higher the R value, and the smaller the β value, which leads to a reduction in gear and a forced decrease in training intensity.

[0131] Steps 3-4: Calculate the physiological potential coefficient γ with a weight of 20%, γ = (V − Vmin) / (Vmax − Vmin), where V is the age-appropriate respiratory volume, and the respiratory volume V follows the Shizgal-Rosa model.

[0132] Vmin and Vmax are not completely fixed; they are normalized baseline values ​​in the algorithm, which map the actual breathing volume to the [0,1] interval in the gear formula: when V=Vmin → γ=0, lung function is the weakest; when V=Vmax → γ=1, lung function is the strongest.

[0133] The greater the lung function potential, the higher the tidal volume (V), and the greater the gamma (γ) level, the higher the lung function potential. The core principle is that personalized tidal volume parameters are automatically generated for different body weights, which accurately reflect lung function potential.

[0134] Weighted design principle: Symptom coefficient α accounts for 50%: ensuring safety first; respiratory efficiency β accounts for 30%: real-time functional constraints; physiological potential γ accounts for 20%: individualized intensity calibration.

[0135] Symptom-driven layer: The total symptom score S and the derivation coefficient α are calculated through dedicated questions Q1-Q3. Independent parameter layer: Q4 respiratory rate and Q5 (age and weight) are used as independent inputs. Respiratory efficiency downgrading mechanism: Q4 is converted into R value, and β=1-R / 3 is used to realize that the higher the frequency, the lower the level. Weight-tidal volume fitting mechanism: Q5 weight data is used to generate personalized tidal volume V through a piecewise linear formula.

[0136] Steps 3-5: Determine the final gear D, D=round(1+5*(0.5α+0.3β+0.2γ)), D: gears 1~6, round D to the nearest integer.

[0137] Algorithm Validation Case

[0138]

[0139] This embodiment uses training data and the algorithm described above to reflect the training effect, and combines this with the doctor's judgment to provide guidance for the next training session.

[0140] Compared with traditional equipment, the training effect of this embodiment is as follows:

[0141]

[0142] This embodiment uses the Jinan Weiyang Breathing Trainer WY-A model as a comparison.

[0143] This embodiment achieves the technical effect of three training modes and nine resistance levels through a purely mechanical structure (and the cost is less than 70 yuan). In addition, the PEP training frequency can be infinitely adjusted, and the exhalation and inhalation training can be carried out through the mouth only, without the need for the nasal cavity.

[0144] This embodiment adds a traffic monitoring module to monitor the accuracy of cost control in real time, thereby improving training effectiveness.

[0145] It should be noted that the above description is only a preferred embodiment of the present invention and is not intended to limit the present invention. Any modifications, equivalent substitutions, improvements, etc., made within the spirit and principles of the present invention should be included within the protection scope of the present invention.

Claims

1. A child respiratory training device smart device, characterized in that, It includes silica gel nozzle (1), plastic inlet piece (2), mode disc (3), silica gel suction valve (4), adjusting spring (5), frequency ball (6), airway cavity (7), intensity disc (8), detection module (9), in and out air grid (10), spring sliding piece (11), silica gel exhale valve (12) and mapping system; The silica gel nozzle (1) is connected with the plastic inlet piece (2), the plastic inlet piece (2) is connected with the first end of the airway cavity (7) of the inlet piece, the mode disc (3) is rotatably installed between the plastic inlet piece (2) and the airway cavity (7), the second end of the airway cavity (7) is connected with the first end of the detection module (9), the intensity disc (8) is rotatably arranged between the airway cavity (7) and the detection module (9), and the second end of the detection module (9) is connected with the in and out air grid (10). A plurality of first through holes (13) are arranged on the intensity disc (8), and a plurality of channels corresponding to the first through holes (13) are formed in the airway cavity (7) in the axial direction. A third through hole (14) is arranged on the mode disc (3). The third through hole (14) is a semicircular opening, the channels are divided into exhale channels (15) and inhale channels (16), the exhale channels (15) and the inhale channels (16) are both two, and are evenly arranged on the end surface of the airway cavity (7). The mode disc (3) is used as a boundary to switch the exhale mode or the inhale mode by 180 degrees. An exhale sliding rail (17) is formed in the side surface of the airway cavity (7) in the axial direction between the two exhale channels (15), an inhale sliding rail (18) is formed in the side surface of the airway cavity (7) in the axial direction between the two inhale channels (16), a first opening groove (19) is arranged on one side of the exhale sliding rail (17) close to the silica gel nozzle (1), a second opening groove (20) is arranged on one side of the inhale sliding rail (18) close to the silica gel nozzle (1), the silica gel exhale valve (12) is inserted into the first opening groove (19), and the silica gel suction valve (4) is inserted into the second opening groove. The mapping system comprises an adaptive algorithm module and a training feedback module. The adaptive algorithm module comprises personal user information collection and an adaptive algorithm. The detection module comprises a flow sensor and a wireless communication module.

2. The child respiratory exerciser smart device of claim 1, wherein, The third through hole (14) is a semicircular opening, the exhale channels (15) and the inhale channels (16) are both two, and are evenly arranged on the end surface of the airway cavity (7), an exhale sliding rail (17) is formed in the side surface of the airway cavity (7) in the axial direction between the two exhale channels (15), an inhale sliding rail (18) is formed in the side surface of the airway cavity (7) in the axial direction between the two inhale channels (16), a first opening groove (19) is arranged on one side of the exhale sliding rail (17) close to the silica gel nozzle (1), a second opening groove (20) is arranged on one side of the inhale sliding rail (18) close to the silica gel nozzle (1), the silica gel exhale valve (12) is inserted into the first opening groove (19), and the silica gel suction valve (4) is inserted into the second opening groove.

3. The child respiratory exerciser smart device of claim 2, wherein, The left and right side walls of the first opening slot (19) are respectively provided with an exhale one-way hole (21), the shape of the silica gel exhale valve (12) is matched with the first opening slot (19) and is a hollow structure, the opening of the silica gel exhale valve (12) faces the arc side of the airway cavity (7), the left and right side faces of the silica gel exhale valve (12) are respectively provided with an exhale one-way valve (22), the small opening of the exhale one-way valve (22) extends into the exhale one-way hole (21), and the large opening is arranged on the side face of the silica gel exhale valve (12), the left and right side walls of the second opening slot (20) are respectively provided with an inhale one-way hole (23), the shape of the silica gel inhale valve (4) is matched with the second opening slot (20) and is a hollow structure, the opening of the silica gel inhale valve (4) faces the arc side of the airway cavity (7), the left and right side faces of the silica gel inhale valve (4) are respectively provided with an inhale one-way valve (24), the large opening of the inhale one-way valve (24) covers the inhale one-way hole (23), and the small opening is arranged on the side wall of the silica gel inhale valve (4).

4. The child respiratory trainer smart device of claim 2 or 3, wherein, The exhale sliding rail (17) is sequentially provided with the first opening slot (19), the oscillation breathing block (25), the frequency ball (6), the adjusting spring (5) and the pre-tightening switch (11-1) in the axial direction, the oscillation breathing block (25) is hollow, the left and right side faces of the oscillation breathing block (25) are respectively provided with oscillation air inlet holes (26) leading to left and right exhale channels, and the oscillation breathing block (25) is provided with an oscillation air outlet hole (27) below in the axial direction, and the frequency ball (6) abuts against the oscillation air outlet hole (27).

5. A method for intelligent use of a child respiratory training device, using the intelligent device of any one of claims 1-4, characterized in that, The personal user information collection includes collecting the weight, age and disease type of the user, and the method includes the following steps: Step 1: personal user information collection, filling the weight, age and disease type of the user into the personal information collection table, and collecting data according to the following steps of the personal information collection table; Q1: the frequency of the child waking up at night due to wheezing / coughing in the past 4 weeks, options and scores, A. never, 0 points, B. 1-2 times, 1 point, C. 1 time per week, 2 points, D. ≥2 times / week, 3 points; Q2: the degree of difficulty in breathing during exercise, options and scores, A. none, 0 points, B. mild / continue to exercise, 1 point, C. moderate / slow down, 2 points, D. severe / stop, 3 points; Q3: the frequency of using emergency drugs, options and scores, A. not used, 0 points, B. ≤2 times / month, 1 point, C. 1-2 times / week, 2 points, D. ≥3 times / week, 3 points; Q4: resting respiratory rate / 5 minutes after sitting still, options and scores, A. ≤20 times / min, 0 points, B. 21-25 times / min, 1 point, C. 26-30 times / min, 2 points, D. >30 times / min, 3 points; Q5: age and weight, options and data, age: numerical value / year, weight: numerical value / kg; Fill all the data above into the personal information collection table; Step 2: input the personal information of the personal information collection table into the mapping system; Step 3, the adaptive algorithm module derives the training gear according to the input user personal information and uses the adaptive algorithm; Step 4, adjust the exhale mode or inhale mode through the mode disc, and adjust the exhale intensity or inhale intensity of the intensity disc according to the training gear; Step 5, when the user trains, the detection module detects the user training information in real time and uploads to the external communication equipment and the training feedback module through the wireless communication module; The training feedback module displays the user training situation through the display device and gives positive and negative feedback; Step 6, the user ends the respiratory training or performs the next round of respiratory training.

6. The intelligent use method of the child respiratory training device according to claim 5, characterized in that, Preferably, in step 3, the calculation process of the adaptive algorithm is as follows: Step 3-1: Calculate the total score of daily respiratory symptoms S, Q1 corresponds to night symptoms, Q2 corresponds to exercise dyspnea, and Q3 corresponds to emergency drug use, which is a special evaluation of daily respiratory stability. The scores of the three are directly added to obtain the total score of symptoms: S=(Q1+Q2+Q3), S range: 0~9 points; Clinical significance: the higher the score, the greater the respiratory system compensation demand; Step 3-2: Calculate the symptom suppression coefficient α weight 50%, α=1−9 / S, S range 0~9 points; The more severe the symptoms S rises, the smaller α is → forced to lower the gear; Realize the negative mapping of symptom severity to gear; Step 3-3: Calculate the respiratory efficiency coefficient β weight 30%, β=1−R / 3 / 3, R is the score of Q4 0~3 points; The faster the resting respiration R rises, the smaller β is, which leads to lower gear and forced lower training intensity; Step 3-4: Calculate the physiological potential coefficient γ weight 20%, γ=(V−Vmin) / (Vmax−Vmin)V, V is the age-adapted respiratory volume; wherein the respiratory volume V: follow the Shizgal-Rosa model Vmin = 9.52, Vmax = 17.54; Vmin and Vmax are not completely fixed, but are normalization reference values in the algorithm, which map the actual breathing volume to the interval [0, 1] in the gear formula: when V = Vmin→ γ = 0, the lung function is weakest, when V = Vmax→ γ = 1, the lung function is strongest; The greater the lung function potential V rises, the greater γ is, which leads to higher gear. Core: different body weights automatically generate personalized tidal volume parameters → accurately reflect lung function potential; Weight design principle: symptom coefficient α accounts for 50%: ensure safety first, respiratory efficiency β accounts for 30%: real-time function constraint, physiological potential γ accounts for 20%: individualized intensity calibration; Symptom dominant layer: calculate the symptom total score S and derived coefficient α through special questions Q1-Q3, independent parameter layer: Q4 respiratory rate and Q5 age and weight as independent input, respiratory efficiency gear down mechanism: Q4 is converted to R value, through β=1-R / 3, the higher the frequency → the lower the gear, weight-tidal volume fitting mechanism: Q5 weight data generates personalized tidal volume V through piecewise linear formula; Step 3-5: Determine the final gear D, D=round(1+5*(0.5α+0.3β+0.2γ)),D: 1~6 gears, round D to the nearest integer.

7. The intelligent use method of a child respiratory training device according to claim 5, characterized in that: In step 5, the positive and negative feedback includes training time, training completion degree and training intensity.

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