Disclosure of Invention
In order to solve the technical problems, the invention provides an intelligent device of a breathing training device for children and a use method thereof, and the technical scheme of the invention is realized as follows:
The invention discloses an intelligent device of a child respiratory training device, which comprises a silica gel nozzle, a plastic inlet piece, a mode disc, a silica gel suction valve, an adjusting spring, a frequency ball, an airway cavity, a strength disc, a detection module, an air inlet and outlet grating, a spring sliding piece, a silica gel breathing valve and a mapping system, wherein the silica gel suction valve is arranged on the silica gel nozzle;
The silica gel nozzle is connected with the plastic inlet piece, the plastic inlet piece and the inlet piece are connected with the first end of the air passage cavity, the mode disc is rotatably arranged between the air passage cavities of the plastic inlet piece, the second end of the air passage cavity is connected with the first end of the detection module, the strength disc is rotatably arranged between the air passage cavity and the detection module, and the second end of the detection module is connected with the air inlet and outlet grating;
The strong plate is provided with a plurality of first through holes, and the airway cavity is provided with a plurality of channels corresponding to the first through holes along the axial direction;
The mode disc is provided with a third through hole;
The channels are divided into an exhalation channel and an inhalation channel;
The mapping system comprises an adaptive algorithm module and a training feedback module;
The self-adaptive algorithm module comprises a personal user information collection and self-adaptive algorithm;
The game mapping module sets a game scene based on the breathing training of the user;
the detection module comprises a flow sensor and a wireless communication module.
Preferably, the third through hole is semicircular, the number of the expiration channels and the number of the inspiration channels are two, the expiration channels and the inspiration channels are uniformly formed in the end face of the airway cavity, an expiration sliding rail is formed in the lateral face of the airway cavity between the two expiration channels in the axial direction, an inspiration sliding rail is formed in the lateral face of the airway cavity between the two inspiration channels in the axial direction, a first open slot is formed in one side, close to the silica gel nozzle, of the expiration sliding rail, a second open slot is formed in one side, close to the silica gel nozzle, of the inspiration sliding rail, a silica gel expiration valve is inserted into the first open slot, and a silica gel inspiration valve is inserted into the second open slot.
Preferably, the left and right side walls of the first open slot are respectively provided with an expiration one-way hole, the shape of the silica gel expiration valve is matched with that of the first open slot and is of a hollow structure, the opening of the silica gel expiration valve faces the circular arc side face of the airway cavity, the left and right side faces of the silica gel expiration valve are respectively provided with an expiration one-way valve, the small opening of the expiration one-way valve stretches into the expiration one-way hole, the large opening of the expiration one-way valve is arranged on the side face of the silica gel expiration valve, the left and right side walls of the second open slot are respectively provided with an inspiration one-way hole, the shape of the silica gel inspiration valve is matched with that of the second open slot and is of a hollow structure, the opening of the silica gel inspiration valve faces the circular arc side face of the airway cavity, the left and right side faces of the silica gel inspiration one-way valve are respectively provided with an inspiration one-way valve, the large opening of the inspiration one-way valve covers the inspiration one-way hole, and the small opening of the expiration one-way valve is arranged on the side wall of the silica gel inspiration valve.
Preferably, the expiration slide rail is equipped with first open slot, oscillation breathing piece, frequency ball, regulating spring and pretension switch in proper order along the axial, the inside cavity of oscillation breathing piece, the side is opened respectively about oscillation breathing piece has the oscillation inlet port of opening to breathe left and right sides expiration passageway, the axial below of oscillation breathing piece is opened there is an oscillation venthole, the frequency ball supports oscillation venthole.
The invention also discloses a method for using the intelligent device of the breathing training device for children, wherein the personal information comprises the weight, age and disease type of the user, and the method comprises the following steps:
step 1, personal user information collection, namely filling the weight, age and disease type of a collected user into a personal information collection table, and collecting data by the step below the personal information collection table;
Q1, frequency, options and score of night awakening of children due to wheezing/coughing in the past 4 weeks, A. Never score 0, B.1-2 times score 1, C.1 times score 2 per week, D≥2 times per week score 3;
Q2, the degree of dyspnea during exercise, options and scores, A, no score of 0, B, mild/continuing exercise score of 1, C, moderate/needing deceleration score of 2, D, severe/needing stopping score of 3;
q3, the use frequency, options and scores of the emergency medicine, wherein the unused score of A is 0, the score of B is less than or equal to 2 times per month and is 1, the score of C.1-2 times per Zhou Fenshu is 2, and the score of D is more than or equal to 3 times per week and is 3;
q4, measured after resting respiratory rate/sitting for 5 minutes, options and scores, A≤20 times/min with score 0, B.21-25 times/min with score 1, C.26-30 times/min with score 2, D≤30 times/min with score 3;
q5, age and weight, options and score data, age: number/year of age, weight: number/kg;
filling all the above data into a personal information collection table;
Step 2, inputting personal information of the user into a mapping system;
step 3, the self-adaptive algorithm module obtains a training gear according to the input personal information of the user and the self-adaptive algorithm;
step 4, adjusting an expiration mode or an inspiration mode through a mode disc, and adjusting expiration intensity or inspiration intensity of a strong disc according to a training gear;
step 5, when the user performs training, the detection module detects the training information of the user in real time and uploads the training information to the external communication equipment and the training feedback module through the wireless communication module;
And 6, ending the breath training or carrying out the next round of breath training by the user.
Preferably, in the step 3, the calculation process of the adaptive algorithm is as follows:
step 3-1, calculating the total severity of the daily respiratory symptoms to be S, wherein the problem Q1 corresponds to night symptoms, the problem Q2 corresponds to movement dyspnea, the problem Q3 corresponds to emergency medicine use to specially evaluate the daily respiratory stability, and the three scores are directly added to obtain the total symptom score S= (Q1+Q2+Q3), wherein the S range is 0-9 score;
the higher the score, the greater the respiratory system compensation requirement;
step 3-2, calculating a symptom suppression coefficient alpha weight of 50% (the primary of symptom control), wherein alpha=1-9/S and S ranges from 0 to 9 minutes;
The more serious the symptom is, the smaller alpha is, the gear is forcedly lowered, and the negative mapping from the symptom severity to the gear is realized;
Step 3-3, calculating a respiratory efficiency coefficient beta weight of 30%, wherein beta=1-R/3, R is Q4, and the score is 0-3;
The faster the resting breath, the higher the R rises, the smaller the beta leads to a lower gear, forcing a lower training intensity;
Step 3-4, calculating a physiological potential coefficient gamma weight of 20%, wherein gamma= (V-Vmin)/(Vmax-Vmin) V, and V is age-adaptive respiration amount;
Wherein the respiratory volume V is along Shizgal-Rosa model
Vmin=9.52, vmax=17.54, vmin and Vmax are not completely fixed, are normalized reference values in the algorithm, and map the actual breathing volume to the [0,1] interval in the gear formula, wherein when v=vmin→γ=0, the lung function is the weakest, and when v=vmax→γ=1, the lung function is the strongest;
the larger the lung function potential is, the larger the V is, and the higher the gamma is, the higher the gear is, and the core is that the personalized tidal volume parameters are automatically generated by different weights, and the lung function potential is accurately reflected;
The weight design principle is that the symptom coefficient alpha accounts for 50 percent, the safety priority is ensured, the respiratory efficiency beta accounts for 30 percent, the real-time functional constraint is adopted, and the physiological potential gamma accounts for 20 percent, the individual intensity is calibrated;
the symptom main guiding layer calculates symptom total score S and derivative coefficient alpha through special problems Q1-Q3, the independent parameter layer takes Q4 respiratory frequency and Q5, namely age and weight, as independent input, the respiratory efficiency downshift mechanism converts Q4 into R value, realizes the higher frequency to lower gear through beta=1-R/3, and the weight-tidal volume fitting mechanism generates personalized tidal volume V through a piecewise linear formula by Q5 weight data;
and 3-5, determining a final gear D, wherein D=round (1+5 (0.5alpha+0.3beta+0.2gamma)), D is 1-6, and rounding D.
Preferably, in the step 5, the positive and negative feedback includes training time, training completion and training intensity.
The invention has the following advantages:
Firstly, through pure mechanical structure adjustment respiration training intensity, solved traditional breathing training ware cost too high, the complex problem of operation, in addition, the invention has created the structure of switching at any time exhaling training and inhaling training through the mode dish originally, compares traditional device only can be used for exhaling training or inhaling training, and the commonality is stronger, and the sexual valence relative altitude is higher, has higher marketing value.
Secondly, the problems that a user (commonly children) is not enough attentive and compliance is insufficient in training are solved through combining the respiratory training with a game dynamic mapping engine, and the subjective motility of the respiratory training of the user is improved through positive and negative feedback given by a game mapping module in real time.
Thirdly, the problem of individual variability is solved through an adaptive algorithm, and a training mode and training intensity matched with the user are generated based on personal information of the user.
Detailed Description
The technical solutions of the present invention will be clearly and completely described below with reference to the embodiments of the present invention and the accompanying drawings, and it is obvious that the described embodiments are only some embodiments of the present invention, not all embodiments. All other embodiments, which can be made by those skilled in the art based on the embodiments of the invention without making any inventive effort, are intended to be within the scope of the invention.
Unless defined otherwise, all technical and scientific terms used herein have the same meaning as commonly understood by one of ordinary skill in the art to which this invention belongs, the terms used in this description are for the purpose of describing particular embodiments only and are not intended to limit the invention, and the terms "comprising" and "having" and any variations thereof in the description of the invention and the claims and the above description of the drawings are intended to cover non-exclusive inclusions.
In the description of the embodiments of the present invention, the technical terms "first," "second," etc. are used merely to distinguish between different objects and should not be construed as indicating or implying a relative importance or implicitly indicating the number of technical features indicated, a particular order or a primary or secondary relationship. In the description of the embodiments of the present invention, the meaning of "plurality" is two or more unless explicitly defined otherwise.
Reference in the specification to "an embodiment" means that a particular feature, structure, or characteristic described in connection with the embodiment may be included in at least one embodiment of the invention. The appearances of such phrases in various places in the specification are not necessarily all referring to the same embodiment, nor are separate or alternative embodiments mutually exclusive of other embodiments. Those of skill in the art will explicitly and implicitly appreciate that the described embodiments of the invention may be combined with other embodiments.
In the description of the embodiment of the present invention, the term "and/or" is merely an association relationship describing the association object, and indicates that three relationships may exist, for example, a and/or B, and may indicate that a exists alone, while a and B exist together, and B exists alone. In the present invention, the character "/" generally indicates that the front and rear related objects are an or relationship.
Embodiments of the present invention will be described more specifically below by way of examples. It should be noted that the embodiments of the present invention are not limited to these examples only.
In a specific embodiment, as shown in fig. 1,2 and 3, the invention discloses an intelligent device of a respiratory training device for children, which comprises a silica gel nozzle 1, a plastic inlet piece 2, a mode disc 3, a silica gel suction valve 4, an adjusting spring 5, a frequency ball 6, an air passage cavity 7, a strong disc 8, a detection module 9, an air inlet and outlet grating 10, a spring sliding piece 11, a silica gel suction valve 12 and a mapping system;
The silica gel nozzle 1 is connected with the plastic inlet piece 2, the plastic inlet piece 2 and the inlet piece are connected with the first end of the air passage cavity 7, the mode disc 3 is rotatably arranged between the air passage cavities 7 of the plastic inlet piece 2, the second end of the air passage cavity 7 is connected with the first end of the detection module 9, the strong disc 8 is rotatably arranged between the air passage cavity 7 and the detection module 9, and the second end of the detection module 9 is connected with the air inlet and outlet grating;
the strong disc 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;
the mode disc 3 is provided with a third through hole 14;
the channels are divided into an exhalation channel 15 and an inhalation channel 16;
The mapping system comprises an adaptive algorithm module and a training feedback module;
The self-adaptive algorithm module comprises a personal user information collection and self-adaptive algorithm;
The game mapping module sets a game scene based on the breathing training of the user;
the detection module comprises a flow sensor and a wireless communication module.
Preferably, as shown in fig. 4, 8 and 9, the third through hole 14 is semicircular, the number of the exhalation channels 15 and the number of the inhalation channels 16 are two, the two exhalation channels and the inhalation channels 16 are uniformly formed on the end face of the air channel cavity 7, an exhalation slide rail 17 is formed between the two exhalation channels 15 in the axial direction on the side face of the air channel cavity 7, an inhalation slide rail 18 is formed between the two inhalation channels 16 in the axial direction on the side face of the air channel cavity 7, a first open slot 19 is formed on one side, close to the silica gel nozzle 1, of the exhalation slide rail 17, a second open slot 20 is formed on one side, close to the silica gel nozzle 1, of the inhalation slide rail 18, a silica gel exhalation valve 12 is inserted into the first open slot 19, and a silica gel inhalation valve 4 is inserted into the second open slot.
In the above preferred configuration, the specific angle of the mode disc, the number of exhalation passages and inhalation passages are determined, and the mode of the present invention for switching between exhalation and inhalation by taking 180 degrees as a limit is set.
Preferably, as shown in fig. 3, fig. 4 and fig. 5, the left and right side walls of the first open slot 19 are respectively provided with an expiration one-way hole 21, the shape of the silica gel expiration valve 12 is matched with that of the first open slot 19 and is of a hollow structure, the opening of the silica gel expiration valve 12 faces the circular arc side surface of the airway cavity 7, the left and right side surfaces of the silica gel expiration valve 12 are respectively provided with an expiration one-way valve 22, the small opening of the expiration one-way valve 22 stretches into the expiration one-way hole 21, the large opening of the expiration one-way valve is arranged on the side surface of the silica gel expiration valve 12, the left and right side walls of the second open slot 20 are respectively provided with an inspiration one-way hole 23, the shape of the silica gel inspiration valve 4 is matched with that of the second open slot 20 and is of a hollow structure, the opening of the silica gel inspiration valve 4 faces the circular arc side surface of the airway cavity 7, the left and right side surfaces of the inspiration one-way valve 24 are respectively provided with an inspiration one-way valve 24, the large opening of the inspiration one-way valve 24 covers the inspiration one-way hole 23, and the small opening of the expiration valve is arranged on the side wall of the silica gel inspiration one-way valve 4.
The above-mentioned preferred structure is set for the purpose of introducing the actions of only breathing and inhaling through the present device, that is, only using the mouth to breathe and inhale, not using the nose to breathe and inhale, all the structures of the breathing one-way valve and the inhaling one-way valve are all available, after setting up the explanation, the air flow direction, the user exhales the air channel first (the oscillation mode is closed), then the user inhales through the large opening of the silica gel breathing valve-the breathing one-way hole, the inhalation is completed, that is, the user exhales and inhales is realized through the mouth, the action education is completed, and the same reason is obtained, when the user inhales the mode, the user inhales through the breathing channel, then exhales, the structure direction of the breathing one-way valve and the inhaling one-way valve is opposite, and the structure of the duckbill one-way valve is all adopted, the arrow direction of fig. 4 is the air flow direction.
Preferably, as shown in fig. 5, 6 and 7, the expiratory slide rail 17 is provided with a first open slot 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 inside of the oscillating breathing block 25 is hollow, the left and right sides of the oscillating breathing block 25 are respectively provided with an oscillating air inlet 26 which is communicated with a left and right expiratory channel, the axial direction of the oscillating breathing block 25 is provided with an oscillating air outlet 27, and the frequency ball 6 props against the oscillating air outlet 27.
In the above preferred structure, the structure is set on the exhalation slide rail, as shown in fig. 7, in which the closing state of OPEP is a mode, that is, the adjusting spring is pressed to the minimum at this time, so that the frequency ball is forced to be pressed against the oscillation air outlet hole, if OPEP mode is to be opened, only part of the pressure needs to be released by adjusting the spring, then the user exhales to sequentially pass through the oscillation air inlet hole and the oscillation air outlet hole of the oscillation breathing block, and the OPEP mode is opened.
In this embodiment, the personal information includes the weight, age, and disease type of the user. In this embodiment, the outer circumference of the dial 8 is provided with a plurality of scales. In this embodiment, the detection module 9 includes a flow sensor and a wireless communication module.
In this embodiment, the stiffness gradient of the adjusting spring 5 is 5N/mm-25N/mm.
The specific operation procedure of this embodiment is as follows:
discloses an intelligent using method of a breathing trainer for children, which adopts the intelligent device of the breathing trainer for children, personal information including weight, age, type of illness of the user, the method comprising the steps of:
Step 1, personal user information collection, namely filling the weight, age and disease type of a collected user into a personal information collection table below;
Step 2, inputting personal information of the user into a mapping system;
Step 3, the self-adaptive algorithm module calculates a gear and a training mode required by the user based on personal information of the user;
step 4, adjusting an expiration mode or an inspiration mode through a mode disc, and adjusting expiration intensity or inspiration intensity through an intensity disc;
step 5, when the user trains, the detection module detects the training information of the user in real time and uploads the training information to the external communication equipment and the game mapping module through the wireless communication module;
And 6, ending the breath training or carrying out the next round of breath training by the user.
Preferably, in the step 3, the calculation process of the adaptive algorithm is as follows:
step 3-1, calculating the total severity of the daily respiratory symptoms to be S, wherein the problem Q1 corresponds to night symptoms, the problem Q2 corresponds to movement dyspnea, the problem Q3 corresponds to emergency medicine use to specially evaluate the daily respiratory stability, and the three scores are directly added to obtain the total symptom score S= (Q1+Q2+Q3), wherein the S range is 0-9 score;
the higher the score, the greater the respiratory system compensation requirement;
step 3-2, calculating a symptom suppression coefficient alpha weight of 50% (the primary of symptom control), wherein alpha=1-9/S and S ranges from 0 to 9 minutes;
The more serious the symptom is, the smaller alpha is, the gear is forcedly lowered, and the negative mapping from the symptom severity to the gear is realized;
Step 3-3, calculating a respiratory efficiency coefficient beta weight of 30%, wherein beta=1-R/3, R is Q4, and the score is 0-3;
The faster the resting breath, the higher the R rises, the smaller the beta leads to a lower gear, forcing a lower training intensity;
Step 3-4, calculating a physiological potential coefficient gamma weight of 20%, wherein gamma= (V-Vmin)/(Vmax-Vmin) V, and V is age-adaptive respiration amount;
Wherein the respiratory volume V is along Shizgal-Rosa model
Vmin=9.52,Vmax=17.54;
Vmin and Vmax are not completely fixed, are normalized reference values in an algorithm, and map actual respiratory volume to a [0,1] interval in a gear formula, wherein when v=vmin→gamma=0, the lung function is weakest, and when v=vmax→gamma=1, the lung function is strongest;
the larger the lung function potential is, the larger the V is, and the higher the gamma is, the higher the gear is, and the core is that the personalized tidal volume parameters are automatically generated by different weights, and the lung function potential is accurately reflected;
The weight design principle is that the symptom coefficient alpha accounts for 50 percent, the safety priority is ensured, the respiratory efficiency beta accounts for 30 percent, the real-time functional constraint is adopted, and the physiological potential gamma accounts for 20 percent, the individual intensity is calibrated;
the symptom main guiding layer calculates symptom total score S and derivative coefficient alpha through special problems Q1-Q3, the independent parameter layer takes Q4 respiratory frequency and Q5, namely age and weight, as independent input, the respiratory efficiency downshift mechanism converts Q4 into R value, realizes the higher frequency to lower gear through beta=1-R/3, and the weight-tidal volume fitting mechanism generates personalized tidal volume V through a piecewise linear formula by Q5 weight data;
and 3-5, determining a final gear D, wherein D=round (1+5 (0.5alpha+0.3beta+0.2gamma)), D is 1-6, and rounding D.
Preferably, in the step 5, the positive and negative feedback includes training time, training completion and training intensity. Taking inspiration training as an example:
The training intensity is selected by rotating the mode dial 3 clockwise 180 degrees to the inspiratory training mode and rotating the intensity dial 8 according to the advice given by the adaptive algorithm. In this embodiment, the training intensity may be divided into 6 gears, and the intensity is increased uniformly. The whole training process only needs the mouth to do respiratory motion, the inspiration has resistance, and the expiration is natural expiration without increasing resistance through the 4 silica gel suction valve 4 unidirectional.
Taking exhale training as an example:
By rotating the mode disc 3 by 180 degrees anticlockwise to the exhalation training mode and determining that the spring slider 11 is in the position closest to the direction of the silicone mouth 1, the pretension switch is pressed to lock its position. Then, the training intensity is selected according to the recommended rotation intensity disc 8 given by the self-adaptive algorithm, the training intensity can be divided into 6 gears, and the intensity is evenly increased. The whole training process only needs the mouth to do respiratory motion, the exhalation has resistance, and the unidirectional inhalation of the inhalation through the silica gel exhalation valve 12 does not increase the resistance.
OPEP (oscillating positive expiratory pressure) training:
the mode disc 3 is rotated anticlockwise by 180 degrees to the exhalation training mode, and the spring slider 11 is determined to be at any position in the track except for the limit position closest to the direction of the silica gel nozzle 1. Then according to the proposal given by the self-adaptive algorithm, the rotating strong disc 8 selects training intensity, fixes the position, and continuously adjusts the pressure of the adjusting spring 5 to the frequency ball 6 through the adjusting spring sliding part 11 after releasing the pre-tightening switch to change the jumping frequency. The whole training process only needs the mouth to do respiratory motion, the exhalation has resistance, and the unidirectional inhalation of the inhalation through the silica gel exhalation valve 12 does not increase the resistance.
And S4, when the user trains, the detection module 9 detects the training information of the user in real time and uploads the training information to the external communication equipment and the game mapping module through the wireless communication module. The game mapping module displays the training condition of the user through the display device and gives positive and negative feedback.
In the embodiment, a detection module 9 is arranged between the strength disc 8 and the air inlet and outlet grille 10, and real-time data in inspiration training, expiration training and PEP training are detected through a flow sensor. And is connected with the mobile phone APP through a wireless communication module (such as Bluetooth) to transmit signals. Corresponding to the game dynamic map.
In this embodiment, the process of game mapping is shown in fig. 3-5.
The present embodiment also adds a synchronization mechanism and a achievement mechanism in the game mapping module.
The synchronization mechanism is that Bluetooth data (100 ms/packet) matches the game 60fps frame rate by cubic spline interpolation.
Achievement mechanism unlocking the "breathing warrior" badge after the user has completed training for five consecutive days
S5, the user finishes the breath training or performs the next round of breath training.
In this embodiment, the calculation process of the adaptive algorithm is as follows:
step 3-1, calculating the total severity of the daily respiratory symptoms to be S, wherein the problem Q1 corresponds to night symptoms, the problem Q2 corresponds to movement dyspnea, the problem Q3 corresponds to emergency medicine use to specially evaluate the daily respiratory stability, and the three scores are directly added to obtain the total symptom score S= (Q1+Q2+Q3), wherein the S range is 0-9 score;
the higher the score, the greater the respiratory system compensation requirement;
step 3-2, calculating a symptom suppression coefficient alpha weight of 50% (the primary of symptom control), wherein alpha=1-9/S and S ranges from 0 to 9 minutes;
The more serious the symptom is, the smaller alpha is, the gear is forcedly lowered, and the negative mapping from the symptom severity to the gear is realized;
Step 3-3, calculating a respiratory efficiency coefficient beta weight of 30%, wherein beta=1-R/3, R is Q4, and the score is 0-3;
The faster the resting breath, the higher the R rises, the smaller the beta leads to a lower gear, forcing a lower training intensity;
Step 3-4, calculating physiological potential coefficient gamma weight 20%, wherein gamma= (V-Vmin)/(Vmax-Vmin) V is age-adapted respiration volume, and the respiration volume V is obtained by adopting Shizgal-Rosa model
Vmin and Vmax are not completely fixed, are normalized reference values in an algorithm, and map actual respiratory volume to a [0,1] interval in a gear formula, wherein when v=vmin→gamma=0, the lung function is weakest, and when v=vmax→gamma=1, the lung function is strongest;
the larger the lung function potential is, the larger the V is, and the higher the gamma is, the higher the gear is, and the core is that the personalized tidal volume parameters are automatically generated by different weights, and the lung function potential is accurately reflected;
The weight design principle is that the symptom coefficient alpha accounts for 50 percent, the safety priority is ensured, the respiratory efficiency beta accounts for 30 percent, the real-time functional constraint is adopted, and the physiological potential gamma accounts for 20 percent, the individual intensity is calibrated;
the symptom main guiding layer calculates symptom total score S and derivative coefficient alpha through special problems Q1-Q3, the independent parameter layer takes Q4 respiratory frequency and Q5, namely age and weight, as independent input, the respiratory efficiency downshift mechanism converts Q4 into R value, realizes the higher frequency to lower gear through beta=1-R/3, and the weight-tidal volume fitting mechanism generates personalized tidal volume V through a piecewise linear formula by Q5 weight data;
and 3-5, determining a final gear D, wherein D=round (1+5 (0.5alpha+0.3beta+0.2gamma)), D is 1-6, and rounding D.
Algorithm verification case
According to the training data, the training effect of the time is reflected according to the algorithm, and the instruction of the next training is given by combining the judgment of a doctor.
Compared with the conventional equipment, the training effect of this embodiment is as follows:
this example uses the Jinan Weiyang respiratory trainer WY-A as a control.
In addition, the PEP training frequency can be adjusted steplessly, and the expiratory training and the inspiratory training can only breathe air through the oral cavity in a process without passing through the nasal cavity.
According to the embodiment, the accuracy of cost control is paid attention to in real time by the flow monitoring module, so that the training effect is improved.
It should be noted that the above-mentioned embodiments are only preferred embodiments of the present invention, and are not intended to limit the present invention, and any modifications, equivalent substitutions, improvements, etc. within the spirit and principle of the present invention should be included in the protection scope of the present invention.