Intermittent hypoxic-hyperoxic training instrument for both dynamic and static use, and training method and terminal

Abstract

Provided in the present application are an intermittent hypoxic-hyperoxic training instrument for both dynamic and static use, and a training method and a terminal. The training instrument is configured with a plurality of training modes, and comprises: a gas generation apparatus, a control apparatus, an interactive display apparatus, a wearable heart rate apparatus and a blood oxygen measurement apparatus. After receiving a corresponding training instruction, which is sent by the interactive display apparatus in response to a training mode selected on the basis of a user instruction, the control apparatus preliminarily sets an oxygen content parameter of a mixed gas; a heart rate parameter of a trained subject is acquired from the wearable heart rate apparatus, so as to adjust an oxygen content parameter in an exercise state on the basis of the heart rate parameter; and / or a blood oxygen parameter of the trained subject is acquired from the blood oxygen measurement apparatus, so as to adjust an oxygen content parameter in a non-exercise state on the basis of the blood oxygen parameter. The training instrument of the present application is applicable to a plurality of states of a user, and can flexibly and stably adjust gas composition and output a stable gas flow.

Description

Intermittent hyperoxia training device, training methods and terminals that can be used for both dynamic and static activities Technical Field

[0001] This application relates to the field of sports and fitness equipment technology, and in particular to an intermittent high and low oxygen training device, training method and terminal that can be used for both dynamic and static purposes. Background Technology

[0002] Intermittent hyperoxia training simulates the low-oxygen and low-pressure environment of high-altitude regions to promote cellular sensing and adaptation to oxygen changes, effectively improving bodily functions and enhancing the body's tolerance to low-oxygen environments. Currently, intermittent hyperoxia training has been medically and physiologically proven to significantly improve hypertension, hyperlipidemia, arteriosclerosis, myocardial function, hematopoietic capacity, and cognitive function in certain populations. It can be used to improve bodily functions, enhance the immune system, non-specific compensatory capacity, and aerobic output. However, current breathing training equipment suffers from insufficiently precise and flexible gas control, is unsuitable for various user conditions, has a complex structure, low reliability, and unstable airflow output. Summary of the Invention

[0003] In view of the shortcomings of the prior art described above, the purpose of this application is to provide an intermittent hyper-hypoxia training device, training method and terminal that can be used for both dynamic and static purposes, so as to solve the problems of the prior art being unable to stably adjust the gas composition and being unsuitable for various user conditions.

[0004] To achieve the above and other related objectives, a first aspect of this application provides an intermittent hyper-hypoxia training device suitable for both static and dynamic use. The device is equipped with multiple training modes and includes: a training device body, internally housing a gas generator for producing a mixed gas and a control device; an interactive display device disposed on the surface of the training device body, used to send corresponding training commands to the control device in response to a user-selected training mode, thereby initially setting the oxygen content parameters of the mixed gas; and a heart rate monitoring device electrically connected to the control device. The heart rate monitoring device is worn by the trainee to collect the trainee's heart rate parameters; a blood oxygen detection device is electrically connected to the control device; the blood oxygen detection device is worn by the trainee to collect the trainee's blood oxygen parameters; the control device obtains the trainee's heart rate parameters from the heart rate monitoring device to adjust the oxygen saturation parameters during exercise based on the heart rate parameters; and / or, the control device obtains the trainee's blood oxygen parameters from the blood oxygen detection device to adjust the oxygen saturation parameters during non-exercise based on the blood oxygen parameters.

[0005] In some embodiments of the first aspect of this application, the gas generating device includes: a fluid device, a purification device, a gas separation device, and a gas mixing device connected in sequence; wherein the fluid device is connected to the gas-liquid separator via a heat exchanger, the purification device is connected to the gas-liquid separator via the heat exchanger, and the gas-liquid separator is connected to a double drainage structure; the gas separation device has a first outlet and a second outlet; the first outlet is connected to the gas mixing device via a first valve, and the second outlet is connected to the gas mixing device via a second valve.

[0006] In some embodiments of the first aspect of this application, the dual drainage structure includes: a first drainage pipe and a second drainage pipe; a first drainage valve is provided on the first drainage pipe, and a second drainage valve is provided on the second drainage pipe.

[0007] In some embodiments of the first aspect of this application, the training device is further equipped with an external atomizing device; the external atomizing device is connected to the first drainage pipe, the second drainage pipe and the gas mixing device respectively, for adjusting the humidity parameters of the mixed gas; the external atomizer stores liquid; the types of liquid include: cordyceps, physiological saline and aromatherapy.

[0008] In some embodiments of the first aspect of this application, the control device is communicatively connected to the first valve, the second valve, the first drain valve, and the second drain valve, respectively; the control device adjusts the oxygen content parameter and the humidity parameter by controlling the first valve, the second valve, the first drain valve, and the second drain valve.

[0009] In some embodiments of the first aspect of this application, the control device is equipped with a trained gas parameter optimization model; the gas parameter optimization model optimizes the parameters used by the trainee based on the characteristics and preferences of the trainee.

[0010] In some embodiments of the first aspect of this application, the training process of the gas parameter optimization model includes: acquiring basic data, exercise habit data, physiological index data, environmental parameter data, and historical usage parameter data of the training subject, and preprocessing all the acquired data to form a training subject dataset; dividing the training subject dataset into a training set, a validation set, and a test set according to a preset ratio; selecting a machine learning model and initializing the model parameters; inputting the training set into the machine learning model for training, calculating predictions through forward propagation, and updating the model parameters through backpropagation; using the validation set to tune the model parameters, and using the test set to evaluate the model's generalization ability.

[0011] In some embodiments of the first aspect of this application, the gas parameter optimization model optimizes usage parameters for the trainee based on the trainee's characteristics and preferences. The specific process includes: identifying the current trainee's identity information to obtain the current trainee's characteristics and preferences; inputting the obtained current trainee's characteristics and preferences into the trained gas parameter optimization model for calculation, and outputting usage parameters suitable for the current trainee; the usage parameters include: oxygen content parameters, training cycle, total training time, number of cycles, rest time, training intensity, training mode, and user interface parameters.

[0012] To achieve the above and other related objectives, a second aspect of this application provides an intermittent hyper-hypoxia training method, applied to a dual-purpose intermittent hyper-hypoxia training device. The device is equipped with multiple training modes and includes an interactive display device, a gas generator, a heart rate monitor, and a blood oxygen detector. The method includes: upon receiving a training instruction from the interactive display device in response to a user-selected training mode, initially setting the oxygen content parameter of the mixed gas; acquiring the heart rate parameter of the trainee from the heart rate monitor to adjust the oxygen content parameter during exercise based on the heart rate parameter; and / or acquiring the blood oxygen parameter of the trainee from the blood oxygen detector to adjust the oxygen content parameter during non-exercise based on the blood oxygen parameter.

[0013] To achieve the above and other related objectives, a third aspect of this application provides an electronic terminal, including a memory, a processor, and a computer program stored in the memory; the processor executes the computer program to implement the intermittent hyperoxia training method.

[0014] As described above, the intermittent hyperoxia training device, training method, and terminal of this application, which can be used both statically and dynamically, have the following beneficial effects:

[0015] (1) This application can adjust the gas parameters in real time according to different user conditions;

[0016] (2) This application can flexibly and stably adjust the gas composition and output a stable gas flow. Attached Figure Description

[0017] Figure 1 shows a schematic diagram of the structure of an intermittent high-low oxygen training device that can be used for both dynamic and static purposes according to an embodiment of this application.

[0018] Figure 2 shows a schematic diagram of the structure of a gas generating device in one embodiment of this application.

[0019] Figure 3 shows a schematic diagram of a dual drainage structure in one embodiment of this application.

[0020] Figure 4 shows a schematic diagram of an external atomizer in one embodiment of this application.

[0021] Figure 5 shows a flowchart of an intermittent hyper-hypoxia training method according to an embodiment of this application.

[0022] Figure 6 shows a schematic diagram of the structure of an electronic terminal in one embodiment of this application. Detailed Implementation

[0023] The following specific examples illustrate the implementation of this application. Those skilled in the art can easily understand other advantages and effects of this application from the content disclosed in this specification. This application can also be implemented or applied through other different specific embodiments, and various details in this specification can also be modified or changed based on different viewpoints and applications without departing from the spirit of this application. It should be noted that, unless otherwise specified, the following embodiments and features in the embodiments can be combined with each other.

[0024] In the embodiments of this application, terms such as "first" and "second" are used to distinguish identical or similar items with essentially the same function and purpose. For example, "first outlet" and "second outlet" are used only to distinguish different outlets and do not limit their order. Those skilled in the art will understand that terms such as "first" and "second" do not limit the quantity or execution order, and that "first" and "second" do not necessarily imply that they are different.

[0025] It should be noted that, in the embodiments of this application, the words "exemplary" or "for example" indicate examples, illustrations, or descriptions. Any embodiment or design described as "exemplary" or "for example" in this application should not be construed as being more preferred or advantageous than other embodiments or designs. Specifically, the use of words such as "exemplary" or "for example" is intended to present the relevant concepts in a concrete manner.

[0026] In this application embodiment, "at least one" refers to one or more, and "more than one" refers to two or more. "And / or" describes the relationship between related objects, indicating that three relationships can exist. For example, A and / or B can represent: A alone, A and B simultaneously, or B alone, where A and B can be singular or plural. The character " / " generally indicates that the preceding and following related objects are in an "or" relationship. "At least one of the following" or similar expressions refer to any combination of these items, including any combination of single or plural items. For example, at least one of a, b, or c can represent: a, b, c, ab, ac, bc, or abc, where a, b, and c can be single or multiple.

[0027] This application provides an intermittent hyper-hypoxic training device, training method, and terminal suitable for both static and dynamic use. The device is equipped with multiple training modes and includes a gas generator, a control device, an interactive display device, a heart rate monitor, and a blood oxygen detector. When the control device receives a training command from the interactive display device in response to a user-selected training mode, it initially sets the oxygen content parameters of the mixed gas; it acquires the trainee's heart rate parameters from the heart rate monitor to adjust the oxygen content parameters during exercise; and / or, it acquires the trainee's blood oxygen parameters from the blood oxygen detector to adjust the oxygen content parameters during non-exercise. The training device of this application is suitable for various user states, can flexibly and stably adjust the gas composition, and outputs a stable airflow.

[0028] To facilitate understanding of the embodiments of this application, a detailed description will first be provided with reference to Figure 1. Figure 1 shows a schematic diagram of the structure of a dynamic and static intermittent hyperoxia training device according to an embodiment of the present invention. The dynamic and static intermittent hyperoxia training device in this embodiment is configured with multiple training modes, and the training device mainly includes:

[0029] The training device body is equipped with a gas generator 100 and a control device 1 inside the training device body;

[0030] An interactive display device 200 is disposed on the surface of the main body of the training device, and is used to send corresponding training instructions to the control device 1 in response to the training mode selected by the user, so as to make preliminary settings for the oxygen content parameters of the mixed gas.

[0031] The heart rate wearable device 300 is electrically connected to the control device 1; the heart rate wearable device 300 is worn by the trainee to collect the trainee's heart rate parameters;

[0032] The blood oxygen detection device 400 is electrically connected to the control device 1; the blood oxygen detection device 400 is worn by the trainee to collect the trainee's blood oxygen parameters;

[0033] The control device 1 acquires the heart rate parameters of the trainee from the heart rate wearing device 300 to adjust the oxygen content parameters during exercise based on the heart rate parameters; and / or, the control device 1 acquires the blood oxygen parameters of the trainee from the blood oxygen detection device 400 to adjust the oxygen content parameters during non-exercise based on the blood oxygen parameters.

[0034] It should be noted that those skilled in the art can choose the model of the heart rate wearable device 300 and the blood oxygen detection device 400 according to actual needs, and the present invention does not limit them in this regard.

[0035] In one embodiment, the training modes include: hyperoxia mode, hypooxia mode, and artificial mode; wherein, except for the artificial mode, each training mode has a preset corresponding oxygen content parameter; in the artificial mode, the oxygen content parameter of the mixed gas can be set by the user through the interactive display device 200.

[0036] In one embodiment, the training mode of the training device is selected by interacting with the interactive display device 200.

[0037] Specifically, if a training mode is selected on the interactive display device 200, the interactive display device 200 sends a training instruction corresponding to the training mode to the control device 1. After receiving the training instruction, the control device 1 controls the gas generator 100 according to the oxygen content parameter set in the training mode, so that the gas generator 100 produces a mixed gas that meets the oxygen content parameter of the training mode.

[0038] In one embodiment, the interactive display device 200 is also used to display training instrument related parameters; the types of training instrument related parameters include: gas parameters, physiological monitoring parameters, and training instrument monitoring parameters; the training instrument monitoring parameters include: fluid equipment temperature monitoring parameters and pipeline pressure monitoring parameters.

[0039] In one embodiment, the gas parameters include: oxygen content parameter, gas flow rate parameter, gas pressure parameter, and humidity parameter.

[0040] In one embodiment, gas parameters can be configured via an interactive display device 200.

[0041] In one embodiment, the training device is a dual-purpose device for both static and dynamic use. During training, the device can adjust the oxygen content parameter based on the collected physiological parameters of the trainee. This process is assisted by a heart rate monitoring device 300 and a blood oxygen detection device 400. Specifically, since the blood oxygen detection device 400 generally uses optical components, blood oxygen measurement is inaccurate during exercise. Therefore, when the trainee is in an active state, the heart rate monitoring device 300 collects the trainee's heart rate parameters in real time and sends them to the control device 1. The control device 1 adjusts the oxygen content parameter according to the trainee's heart rate parameters so that the gas generator 100 produces a mixed gas suitable for the trainee's current state. When the trainee is not in an active state, the blood oxygen detection device 400 collects the trainee's blood oxygen parameters in real time and sends them to the control device 1. The control device 1 adjusts the oxygen content parameter according to the trainee's blood oxygen parameters so that the gas generator 100 produces a mixed gas suitable for the trainee's current state.

[0042] In one embodiment, as shown in FIG2, the gas generating device 100 includes: a fluid device 2, a purification device 15, a gas separation device 8, and a gas mixing device 6 connected in sequence; wherein, the fluid device 2 is connected to the gas-liquid separator 5 through a heat exchanger 3, the purification device 15 is connected to the gas-liquid separator 5 through the heat exchanger 3, and the gas-liquid separator 5 is connected to a double drainage structure 7.

[0043] In one embodiment, as shown in FIG2, the fluid device 2 employs an air compressor or a blower. Preferably, the fluid device is an oil-free air compressor or an oil-free blower. Oil-free air compressors do not use lubricating oil during the air compression process, resulting in cleaner, purer air and offering energy-saving and environmentally friendly advantages. Oil-free blowers can also provide oil-free air and are energy-efficient.

[0044] In one embodiment, as shown in FIG2, the fluid device 2 is connected to the condenser 13 via a heat exchanger 3, and the condenser 13 is connected to the gas-liquid separator 5. Specifically, the compressed air output from the fluid device 2 is cooled by the heat exchanger 3, then cooled again by the condenser 13 to condense water vapor, and then separated into gases by the gas-liquid separator 5. The cooled, dry compressed air flows from the gas-liquid separator 5 to the heat exchanger 3, where it exchanges heat with hot air. The heated, dry compressed air then enters the purification device 15 to remove particulate matter and other impurities.

[0045] In one embodiment, a filter element is provided inside the gas-liquid separator 5. Preferably, the filter element has a filtration accuracy of 5 micrometers.

[0046] In one embodiment, the purification device 15 includes a primary filter element and a secondary filter element. Preferably, the primary filter element has a filtration accuracy of 0.5 micrometers, and the secondary filter element has a filtration accuracy of 0.01 micrometers.

[0047] In one embodiment, as shown in FIG2, the gas purified by the purification device 15 flows into the gas separation device 8. The first outlet of the gas separation device 8 outputs nitrogen-rich gas, and the second outlet of the gas separation device 8 outputs oxygen-rich gas. The first outlet is connected to the gas mixing device 6 through the first valve 11, and the second outlet is connected to the gas mixing device 6 through the second valve 12; the gas mixing device 6 is used to mix the gases output from the two outlets respectively.

[0048] In one embodiment, the gas separation device 8 employs an organic polymer membrane module. Preferably, a hollow fiber membrane module is used, as hollow fiber membranes have good durability and can maintain performance during long-term use.

[0049] In one embodiment, the gas mixing device 6 can be a pipeline containing a tee connector, or a static mixer can be installed in the pipeline.

[0050] In one embodiment, the first valve 11 is a flow regulating valve. Preferably, it is an electromagnetic proportional valve.

[0051] In one embodiment, as shown in FIG2, the first outlet is also connected to a third valve 16. The third valve 16 is a pressure regulating valve, preferably an overflow valve. When the gas pressure at the first outlet exceeds a preset value, the third valve 16 opens and discharges the gas. The second outlet is connected to the atmosphere through a fourth valve 17. The fourth valve 17 is a solenoid valve, preferably a two-position three-way valve.

[0052] In one embodiment, the gas mixing device 6 is also connected to an oxygen sensor for measuring the oxygen content of the mixed gas in real time and sending the data to the control device 1.

[0053] In one embodiment, as shown in FIG3, the dual drainage structure 7 includes: a first drainage pipe 7A1 and a second drainage pipe 7B1; a first drainage valve 7A2 is provided on the first drainage pipe 7A1, and a second drainage valve 7B2 is provided on the second drainage pipe 7B1.

[0054] It should be noted that the dual drainage structure 7 can improve drainage efficiency and make maintenance more convenient, because it can shut down one drainage pipe without affecting the use of the other drainage pipe.

[0055] In one embodiment, the control device 1 may be integrated into the gas generating device 100 as shown in FIG2. The control device 1 may also be independent of the gas generating device, and the present invention does not limit this.

[0056] In one embodiment, as shown in Figures 2 and 3, the control device 1 is communicatively connected to the first valve 11, the second valve 12, the third valve 16, the fourth valve 17, the first drain valve 7A2, and the second drain valve 7B2, respectively. The control device 1 adjusts the gas parameters of the mixed gas generated by the gas generator 100 by controlling the first valve 11, the second valve 16, the first drain valve 7A2, and the second drain valve 7B2.

[0057] Specifically, the oxygen content, flow rate, and pressure of the mixed gas can be adjusted by controlling the first valve 11 and the second valve 12, and the humidity of the mixed gas can be adjusted by controlling the first drain valve and the second drain valve.

[0058] In one embodiment, the training device is also equipped with an external atomizing device 9 as shown in FIG4; the external atomizing device 9 is connected to the first drainage pipe, the second drainage pipe and the gas mixing device 6 of the dual drainage structure 7 as shown in FIG2, respectively, to adjust the humidity of the mixed gas generated by the gas mixing device 6; the external atomizing device 9 can use the water generated by the gas-liquid separator 5 or the liquid stored in the atomizer; the types of liquids stored in the atomizer include: cordyceps, physiological saline and aromatherapy.

[0059] In one embodiment, the external atomizing device is connected to the atmosphere via a fifth valve 10; wherein the fifth valve 10 may be a solenoid valve.

[0060] In one embodiment, as shown in Figures 2 and 4, an airbag 4 is also connected to the outlet of the external atomizing device 9. The airbag 4 can hold a certain volume of oxygen-containing gas. When the trainee wears a breathing mask and inhales the gas, the gas in the airbag 4 acts as a buffer. The capacity of the airbag 4 is 2 to 5 L. Since the present invention can continuously output oxygen-containing gas, a large-capacity buffer gas tank is not required for personal use.

[0061] In one embodiment, the control device 1 is equipped with a trained gas parameter optimization model; the gas parameter optimization model optimizes the parameters used by the trainee based on the characteristics and preferences of the trainee.

[0062] In one embodiment, the training process of the gas parameter optimization model includes:

[0063] The first step is to acquire the basic data, exercise habit data, physiological indicator data, environmental parameter data, and historical usage parameter data of the trainees, and to preprocess all the acquired data to form the trainee dataset.

[0064] The basic data of the trainees includes, but is not limited to, the trainees' age, gender, weight, height, and health status; exercise habit data includes, but is not limited to, the exercise frequency, type, intensity, and duration involved in the trainees' past use of the intermittent hyperoxia training device; physiological indicator data includes, but is not limited to, the trainees' heart rate, blood pressure, oxygen saturation, and respiratory rate; environmental parameter data includes, but is not limited to, the altitude, oxygen concentration, temperature, and humidity during training; historical usage parameter data refers to the various parameters set by the trainees for the intermittent hyperoxia training device in past training.

[0065] Preprocessing methods include, but are not limited to: missing value handling, outlier detection, data normalization, and data cleaning. Missing value handling involves deleting records containing missing values ​​and filling them with predicted values ​​such as the mean or median. Outlier detection involves identifying outliers using box plots, standard deviation, or quantile-based methods and handling them through deletion, replacement, or transformation. Data normalization involves scaling the data to between 0 and 1. Data cleaning involves removing duplicate records and correcting errors and inconsistencies.

[0066] The second step is to divide the user dataset into a training set, a validation set, and a test set according to a preset ratio; select a machine learning model and initialize the model parameters; input the training set into the machine learning model for training, calculate predictions through forward propagation, and update the model parameters through backpropagation; use the validation set to tune the model parameters, and use the test set to evaluate the model's generalization ability.

[0067] The validation set is used for model hyperparameter tuning, which involves adjusting model hyperparameters such as learning rate, regularization strength, and choosing different model architectures. The validation set helps evaluate the model's performance on unseen data, thus avoiding overfitting and helping to select the optimal model configuration. The test set is used to ultimately evaluate the model's generalization ability. Once the model has been trained on the test set and tuned on the validation set, the test set is used to evaluate the model's final performance.

[0068] It should be understood that the forward propagation process refers to the model receiving the training set and generating a predicted output through a series of calculations (such as linear combination, activation functions, etc.). Data is passed from the input layer to the output layer. A loss function (such as mean squared error, cross-entropy, etc.) is used to calculate the difference between the model's predicted output and the true label. The backpropagation process refers to using the gradient information of the loss function to calculate the gradient of each parameter through the backpropagation algorithm. This process starts from the output layer and propagates backward to the input layer, aiming to obtain the partial derivative of the loss function with respect to each parameter. Subsequently, an optimization algorithm (such as gradient descent, Adam, etc.) is used to update the model's parameters based on the calculated gradients. The magnitude of the update is determined by the learning rate, which is a hyperparameter. This process is repeated iteratively until the model's performance on the training set reaches a satisfactory level, or until a preset number of iterations is reached.

[0069] In one embodiment, the gas parameter optimization model optimizes the parameters for the trainee based on the trainee's characteristics and preferences. The specific process includes:

[0070] Identify the identity information of the current trainee to obtain the characteristics and preferences of the current trainee; input the obtained characteristics and preferences of the current trainee into the trained gas parameter optimization model for calculation, and output the usage parameters suitable for the current trainee; the usage parameters include: oxygen content parameter, training cycle, total training time, number of cycles, rest time, training intensity, training mode, and user interface parameters.

[0071] It should be understood that the types of identity information for trainees include, but are not limited to, ID information. The control device internally stores the characteristics and preferences of multiple trainees; it matches the current trainee's characteristics and preferences among these multiple trainees using the current trainee's identity information. The current trainee's characteristics and preferences include: basic data, exercise habit data, physiological indicator data, environmental parameter data, and historical usage parameter data. Oxygen concentration includes the oxygen percentage during the hypoxic phase (e.g., 12%-15% oxygen concentration to simulate a high-altitude environment) and the oxygen concentration during the normal oxygen phase (typically 21%, i.e., sea-level oxygen concentration). A training cycle refers to the duration of each hypoxic or normal oxygen phase. Total training time refers to the duration of the entire training session. The number of cycles refers to the number of times the hypoxic and normal oxygen phases alternate within a single training session. Rest time refers to the rest time between the hypoxic and normal oxygen phases. Training intensity refers to the exercise intensity during training. Training mode refers to a preset training mode or a custom mode, adjusted according to different training goals and user preferences. User interface parameters refer to parameters related to the user interface, such as display settings, sound prompts, and visual feedback.

[0072] Similar to the above embodiments, as shown in Figure 5, the present invention also provides an intermittent hyperoxia training method. This intermittent hyperoxia training method is applied to a dynamic / static intermittent hyperoxia training device. The training device is equipped with multiple training modes and includes an interactive display device, a gas generator, a heart rate monitoring device, and a blood oxygen detection device. The method includes:

[0073] Step 51: Upon receiving a training instruction sent by the interactive display device in response to the training mode selected by the user, the oxygen content parameter of the mixed gas is initially set.

[0074] Step 52: Obtain the heart rate parameters of the trainee from the heart rate wearing device, so as to adjust the oxygen content parameters under exercise conditions according to the heart rate parameters; and / or, obtain the blood oxygen parameters of the trainee from the blood oxygen detection device, so as to adjust the oxygen content parameters under non-exercise conditions according to the blood oxygen parameters.

[0075] It should be understood that the specific process of each step in this embodiment has been described in detail in the above training device embodiment, and will not be repeated here for the sake of brevity.

[0076] In one embodiment, the gas generating device includes: a fluid device, a purification device, a gas separation device, and a gas mixing device connected in sequence; wherein, the fluid device is connected to the gas-liquid separator via a heat exchanger, the purification device is connected to the gas-liquid separator via the heat exchanger, and the gas-liquid separator is connected to a double drainage structure; the gas separation device has a first outlet and a second outlet; the first outlet is connected to the gas mixing device via a first valve, and the second outlet is connected to the gas mixing device via a second valve.

[0077] In one embodiment, the dual drainage structure includes: a first drainage pipe and a second drainage pipe; a first drainage valve is provided on the first drainage pipe, and a second drainage valve is provided on the second drainage pipe.

[0078] In one embodiment, the training device is further equipped with an external atomizing device; the external atomizing device is connected to the first drainage pipe, the second drainage pipe and the gas mixing device respectively, for adjusting the humidity parameters of the mixed gas; the external atomizer stores liquid; the types of liquid include: cordyceps, physiological saline and aromatherapy.

[0079] In one embodiment, the control device is communicatively connected to the first valve, the second valve, the first drain valve, and the second drain valve, respectively; the control device adjusts the oxygen content parameter and the humidity parameter by controlling the first valve, the second valve, the first drain valve, and the second drain valve.

[0080] In one embodiment, the control device is equipped with a trained gas parameter optimization model; the gas parameter optimization model optimizes the parameters used by the trainee based on the trainee's characteristics and preferences.

[0081] In one embodiment, the training process of the gas parameter optimization model includes: acquiring basic data, exercise habit data, physiological index data, environmental parameter data, and historical usage parameter data of the training subjects, and preprocessing all the acquired data to form a training subject dataset; dividing the training subject dataset into a training set, a validation set, and a test set according to a preset ratio; selecting a machine learning model and initializing the model parameters; inputting the training set into the machine learning model for training, calculating predictions through forward propagation, and updating the model parameters through backpropagation; using the validation set to tune the model parameters, and using the test set to evaluate the model's generalization ability.

[0082] In one embodiment, the gas parameter optimization model optimizes usage parameters for the trainee based on the trainee's characteristics and preferences. The specific process includes: identifying the current trainee's identity information to obtain the current trainee's characteristics and preferences; inputting the obtained current trainee's characteristics and preferences into the trained gas parameter optimization model for calculation, and outputting usage parameters suitable for the current trainee; the usage parameters include: oxygen content parameters, training cycle, total training time, number of cycles, rest time, training intensity, training mode, and user interface parameters.

[0083] Figure 6 is a schematic block diagram of an electronic terminal provided in an embodiment of this application. As shown in Figure 6, the computer device includes at least one processor 601, a memory 602, at least one network interface 603, and a user interface 605. The various components in the device are coupled together via a bus system 604. It is understood that the bus system 604 is used to implement communication between these components. In addition to a data bus, the bus system 604 also includes a power bus, a control bus, and a status signal bus. However, for clarity, all buses are labeled as a bus system in Figure 6.

[0084] The user interface 605 may include a monitor, keyboard, mouse, trackball, clicker, button, touchpad, or touch screen.

[0085] It is understood that memory 602 can be volatile memory or non-volatile memory, or both. Non-volatile memory can be read-only memory (ROM) or programmable read-only memory (PROM), which serves as an external cache. By way of example, but not limitation, many forms of RAM are available, such as static random access memory (SRAM) and synchronous static random access memory (SSRAM). The memories described in the embodiments of this invention are intended to include, but are not limited to, these and any other suitable categories of memory.

[0086] In this embodiment of the invention, the memory 602 is used to store various types of data to support the operation of the electronic terminal 600. Examples of this data include: any executable program for operation on the electronic terminal 600, such as the operating system 6021 and application program 6022; the operating system 6021 contains various system programs, such as the framework layer, core library layer, driver layer, etc., for implementing various basic services and handling hardware-based tasks. The application program 6022 may contain various applications, such as a media player, browser, etc., for implementing various application services. The intermittent hyper-hypoxia training method provided in this embodiment of the invention can be included in the application program 6022.

[0087] The methods disclosed in the above embodiments of the present invention can be applied to processor 601, or implemented by processor 601. Processor 601 may be an integrated circuit chip with signal processing capabilities. In the implementation process, each step of the above method can be completed by the integrated logic circuit of the hardware in processor 601 or by instructions in the form of software. The processor 601 may be a general-purpose processor, a digital signal processor (DSP), or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components, etc. Processor 601 can implement or execute the methods, steps, and logic block diagrams disclosed in the embodiments of the present invention. General-purpose processor 601 may be a microprocessor or any conventional processor, etc. The steps of the accessory optimization method provided in the embodiments of the present invention can be directly reflected as being executed by a hardware decoding processor, or being executed by a combination of hardware and software modules in the decoding processor. The software module may be located in a storage medium, which is located in memory. The processor reads the information in the memory and combines it with its hardware to complete the steps of the aforementioned method.

[0088] In an exemplary embodiment, the electronic terminal 600 may be used by one or more application-specific integrated circuits (ASICs), DSPs, programmable logic devices (PLDs), or complex programmable logic devices (CPLDs) to execute the aforementioned method.

[0089] As used in this specification, the terms "component," "module," "system," etc., are used to refer to computer-related entities, hardware, firmware, combinations of hardware and software, software, or software in execution. For example, a component can be, but is not limited to, a process running on a processor, a processor, an object, an executable file, an execution thread, a program, and / or a computer. As illustrated, applications running on computing devices and computing devices can both be components. One or more components may reside in a process and / or an execution thread, and components may be located on a single computer and / or distributed among two or more computers. Furthermore, these components can be executed from various computer-readable media on which various data structures are stored. Components can communicate, for example, via local and / or remote processes based on signals having one or more data packets (e.g., data from two components interacting with another component between a local system, a distributed system, and / or a network, such as the Internet interacting with other systems via signals).

[0090] Those skilled in the art will recognize that the various illustrative logical blocks and steps described in conjunction with the embodiments disclosed herein can be implemented in electronic hardware, or a combination of computer software and electronic hardware. Whether these functions are implemented in hardware or software depends on the specific application and design constraints of the technical solution. Those skilled in the art can use different methods to implement the described functions for each specific application, but such implementations should not be considered beyond the scope of this application.

[0091] Those skilled in the art will understand that, for the sake of convenience and brevity, the specific working processes of the systems, devices, and units described above can be referred to the corresponding processes in the foregoing method embodiments, and will not be repeated here.

[0092] In the several embodiments provided in this application, it should be understood that the disclosed systems, apparatuses, and methods can be implemented in other ways. For example, the apparatus embodiments described above are merely illustrative; for instance, the division of units is only a logical functional division, and in actual implementation, there may be other division methods. For example, multiple units or components may be combined or integrated into another system, or some features may be ignored or not executed. Furthermore, the coupling or direct coupling or communication connection shown or discussed may be through some interfaces; the indirect coupling or communication connection between apparatuses or units may be electrical, mechanical, or other forms.

[0093] The units described as separate components may or may not be physically separate. The components shown as units may or may not be physical units; that is, they may be located in one place or distributed across multiple network units. Some or all of the units can be selected to achieve the purpose of this embodiment according to actual needs.

[0094] In addition, the functional units in the various embodiments of this application can be integrated into one processing unit, or each unit can exist physically separately, or two or more units can be integrated into one unit.

[0095] In the above embodiments, the functions of each functional unit can be implemented entirely or partially through software, hardware, firmware, or any combination thereof. When implemented using software, it can be implemented entirely or partially in the form of a computer program product. A computer program product includes one or more computer instructions (programs). When the computer program instructions (programs) are loaded and executed on a computer, all or part of the flow or function according to the embodiments of this application is generated. The computer can be a general-purpose computer, a special-purpose computer, a computer network, or other programmable device. Computer instructions can be stored in a computer-readable storage medium or transmitted from one computer-readable storage medium to another. For example, computer instructions can be transmitted from one website, computer, server, or data center to another website, computer, server, or data center via wired (e.g., coaxial cable, fiber optic, digital subscriber line (DSL)) or wireless (e.g., infrared, wireless, microwave, etc.) means. The computer-readable storage medium can be any available medium that a computer can access or a data storage device such as a server or data center that integrates one or more available media. The available media can be magnetic media (e.g., floppy disks, hard disks, magnetic tapes), optical media (e.g., high-density digital video discs, DVDs), or semiconductor media (e.g., solid-state disks, SSDs, etc.).

[0096] If a function is implemented as a software functional unit and sold or used as an independent product, it can be stored in a computer-readable storage medium. Based on this understanding, the technical solution of this application, in essence, or the part that contributes to the prior art, or a part of the technical solution, can be embodied in the form of a software product. This computer software product is stored in a storage medium and includes several instructions to cause a computer device (which may be a personal computer, server, or network device, etc.) to execute all or part of the steps of the methods of the various embodiments of this application. The aforementioned storage medium includes various media capable of storing program code, such as USB flash drives, portable hard drives, read-only memory (ROM), random access memory (RAM), magnetic disks, or optical disks.

[0097] The above description is merely a specific embodiment of this application, but the scope of protection of this application is not limited thereto. Any variations or substitutions that can be easily conceived by those skilled in the art within the technical scope disclosed in this application should be included within the scope of protection of this application. Therefore, the scope of protection of this application should be determined by the scope of the claims.

[0098] In summary, this application provides an intermittent hyper-hypoxia training device, training method, and terminal suitable for both dynamic and static use. The training device is equipped with multiple training modes and includes a gas generator, a control device, an interactive display device, a heart rate monitor, and a blood oxygen detector. When the control device receives a corresponding training command from the interactive display device in response to the user's selected training mode, it initially sets the oxygen content parameters of the mixed gas; it obtains the trainee's heart rate parameters from the heart rate monitor to adjust the oxygen content parameters during exercise; and / or, it obtains the trainee's blood oxygen parameters from the blood oxygen detector to adjust the oxygen content parameters during non-exercise. The training device of this application is suitable for various user states, can flexibly and stably adjust the gas composition, and outputs a stable airflow. Therefore, this application effectively overcomes the various shortcomings of the prior art and has high industrial applicability.

[0099] The above embodiments are merely illustrative of the principles and effects of this application and are not intended to limit this application. Any person skilled in the art can modify or alter the above embodiments without departing from the spirit and scope of this application. Therefore, all equivalent modifications or alterations made by those skilled in the art without departing from the spirit and technical concept disclosed in this application should still be covered by the claims of this application.

Claims

1. A dual-purpose (dynamic and static) intermittent hyperoxia training device, characterized in that, The training device is equipped with multiple training modes, and the training device includes: The training device body contains a gas generator and a control device for generating mixed gas. An interactive display device is disposed on the surface of the main body of the training device, which is used to send corresponding training instructions to the control device in response to the training mode selected by the user, so as to make preliminary settings for the oxygen content parameters of the mixed gas. A heart rate wearable device is electrically connected to the control device; the heart rate wearable device is worn by the training subject to collect the training subject's heart rate parameters; A blood oxygen detection device is electrically connected to the control device; the blood oxygen detection device is worn by the trainee to collect the trainee's blood oxygen parameters; The control device acquires the heart rate parameters of the trainee from the heart rate wearing device to adjust the oxygen content parameters during exercise based on the heart rate parameters; and / or, the control device acquires the blood oxygen parameters of the trainee from the blood oxygen detection device to adjust the oxygen content parameters during non-exercise based on the blood oxygen parameters.

2. The intermittent hyperoxia training device that can be used for both dynamic and static purposes according to claim 1, characterized in that, The gas generating device includes: a fluid device, a purification device, a gas separation device, and a gas mixing device connected in sequence; The fluid device is connected to the gas-liquid separator via a heat exchanger, and the purification device is connected to the gas-liquid separator via the heat exchanger. The gas-liquid separator is connected to a double drainage structure. The gas separation device has a first outlet and a second outlet. The first outlet is connected to a gas mixing device via a first valve, and the second outlet is connected to the gas mixing device via a second valve.

3. The intermittent hyperoxia training device that can be used for both dynamic and static purposes according to claim 2, characterized in that, The dual drainage structure includes a first drainage pipe and a second drainage pipe; a first drainage valve is provided on the first drainage pipe, and a second drainage valve is provided on the second drainage pipe.

4. The intermittent hyperoxia training device that can be used for both dynamic and static purposes according to claim 3, characterized in that, The training device is also equipped with an external atomizing device; the external atomizing device is connected to the first drainage pipe, the second drainage pipe and the gas mixing device respectively, to adjust the humidity parameters of the mixed gas; the external atomizer stores liquid; the types of liquid include: cordyceps, physiological saline and aromatherapy.

5. The intermittent hyperoxia training device that can be used for both dynamic and static purposes according to claim 3, characterized in that, The control device is communicatively connected to the first valve, the second valve, the first drain valve, and the second drain valve, respectively; the control device adjusts the oxygen content parameter and the humidity parameter by controlling the first valve, the second valve, the first drain valve, and the second drain valve.

6. The intermittent hyperoxia training device that can be used for both dynamic and static purposes according to claim 1, characterized in that, The control device is equipped with a pre-trained gas parameter optimization model; the gas parameter optimization model optimizes the parameters for the trainee based on the trainee's characteristics and preferences.

7. The intermittent hyperoxia training device that can be used for both static and dynamic activities according to claim 6, characterized in that, The training process of the gas parameter optimization model includes: Acquire basic data, exercise habit data, physiological index data, environmental parameter data, and historical usage parameter data of the trainees, and preprocess all the acquired data to form a trainee dataset; The training dataset is divided into a training set, a validation set, and a test set according to a preset ratio; a machine learning model is selected and its parameters are initialized; the training set is input into the machine learning model for training, predictions are calculated through forward propagation, and model parameters are updated through back propagation; the validation set is used to tune the model parameters, and the test set is used to evaluate the model's generalization ability.

8. The intermittent hyperoxia training device that can be used for both dynamic and static purposes according to claim 6, characterized in that, The gas parameter optimization model optimizes the parameters for the trainees based on their characteristics and preferences. The specific process includes: Identify the identity information of the current trainee to obtain the characteristics and preferences of the current trainee; input the obtained characteristics and preferences of the current trainee into the trained gas parameter optimization model for calculation, and output the usage parameters suitable for the current trainee; the usage parameters include: oxygen content parameter, training cycle, total training time, number of cycles, rest time, training intensity, training mode, and user interface parameters.

9. A method for intermittent hyperoxia training, characterized in that, An intermittent hyper-hypoxic training device applicable to both static and dynamic environments, the device being configured with multiple training modes, and comprising an interactive display device, a gas generator, a heart rate monitoring device, and a blood oxygen detection device, the method comprising: When the interactive display device sends a corresponding training instruction in response to the training mode selected by the user, the oxygen content parameter of the mixed gas is initially set. The heart rate parameters of the trainee are obtained from the heart rate wearing device to adjust the oxygen content parameters during exercise based on the heart rate parameters; and / or, the blood oxygen parameters of the trainee are obtained from the blood oxygen detection device to adjust the oxygen content parameters during non-exercise based on the blood oxygen parameters.

10. An electronic terminal, comprising a memory, a processor, and a computer program stored in the memory, characterized in that, The processor executes the computer program to implement the method of claim 9.

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