A health monitoring method and system based on atomizer

Abstract

This application relates to the field of nebulizer technology, and more particularly to a health monitoring method and system based on a nebulizer. The method includes: acquiring the nebulizer's on / off frequency; acquiring the user's current respiratory rate based on the on / off frequency; determining whether the current respiratory rate meets preset health requirements; if the current respiratory rate does not meet the preset health requirements, acquiring the user's target information, current status, and historical diagnostic records; acquiring a frequency calibration coefficient based on the target information, current status, and historical diagnostic records; acquiring a calibrated respiratory rate based on the current respiratory rate and the frequency calibration coefficient; generating a health report based on the calibrated respiratory rate, and sending the health report to the user terminal. This application helps improve the accuracy of health reports, meeting the user's need for real-time and accurate monitoring of respiratory rate and obtaining health reports during nebulizer treatment.

Description

Technical Field

[0001] This application relates to the field of atomizer technology, and in particular to a health monitoring method and system based on an atomizer. Background Technology

[0002] In today's society, people are paying increasing attention to their health, leading to the emergence of various health monitoring technologies and smart devices that offer more possibilities for health management. Nebulizers, as an indispensable and common medical device in the treatment of respiratory diseases, are widely used in clinical treatment and home care. Their core function is to atomize therapeutic drugs into tiny particles, facilitating efficient absorption by patients and thus rapidly exerting a therapeutic effect. Throughout nebulization therapy, the patient's respiratory rate is a key indicator reflecting their respiratory health status, changes in their condition, and the effectiveness of treatment. Whether medical staff are assessing the condition and adjusting treatment plans, or patients themselves are monitoring their health, obtaining accurate respiratory rate data in real time and receiving corresponding health assessment reports is crucial. This is a core and urgent need for users in nebulization therapy scenarios.

[0003] However, traditional nebulizers are limited to basic drug nebulization and lack any integrated health monitoring functions. This makes it difficult for healthcare professionals to obtain crucial health data such as respiratory rate in real time, hindering accurate monitoring of patient conditions during treatment. While some smart health monitoring devices, developed with the deep integration of medical technology, the Internet of Things, and electronic information technology, can monitor data such as respiratory rate, these devices often operate independently, disconnected from the nebulization treatment scenario. They cannot integrate the nebulizer's core usage data with the patient's nebulization treatment status, thus failing to accurately capture the patient's true respiratory rate during treatment. Furthermore, they cannot process the monitored respiratory rate to generate personalized health reports tailored to the treatment scenario and push them to the user's terminal. Ultimately, this technology fails to meet the core needs of users for real-time, accurate monitoring of respiratory rate and access to personalized health reports during nebulization treatment. This technological pain point urgently needs to be effectively addressed. Summary of the Invention

[0004] To help improve the accuracy of health reports and meet users' needs for real-time and accurate monitoring of respiratory rate and obtaining health reports during nebulizer treatment, this application provides a nebulizer-based health monitoring method and system.

[0005] Firstly, this application provides a health monitoring method based on an atomizer, which adopts the following technical solution: A health monitoring method based on an atomizer includes: Obtain the atomizer's on / off frequency; Based on the opening and closing frequency, obtain the user's current breathing rate; Determine whether the current respiratory rate meets the preset health requirements; If the current respiratory rate does not meet the preset health requirements, then the user's target information, current status, and historical diagnostic records are obtained. Based on the target information, the current state, and the historical diagnostic records, obtain the frequency calibration coefficient; Based on the current respiratory rate and the frequency calibration coefficient, obtain the calibrated respiratory rate; Based on the calibrated respiratory rate, a health report is generated and sent to the user terminal.

[0006] By adopting the above technical solution, the on / off frequency of the nebulizer is obtained, and the current breathing frequency of the nebulizer user is obtained based on the on / off frequency. If the breathing frequency does not meet the preset health requirements, it means that the user's breathing frequency is too slow or too fast, exceeding the normal breathing frequency range. Therefore, the frequency calibration coefficient is obtained based on the user's target information, current status and historical diagnostic records. The current breathing frequency is calibrated based on the frequency calibration coefficient to obtain the calibrated breathing frequency. Finally, a health report is generated based on the calibrated breathing frequency and sent to the user terminal. When the current respiratory rate does not meet the preset health requirements, a frequency calibration coefficient is generated based on the user's target information, current status, and historical diagnostic records to calibrate the current respiratory rate. Compared with the current respiratory rate, the calibrated respiratory rate removes the influence of the user's physical condition, exercise status, and historical medical conditions, and can more intuitively and accurately reflect the user's health status. Therefore, this application generates health reports based on calibrated respiratory rate, which helps to significantly improve the accuracy and relevance of health reports. It precisely solves the problems of lack of relevance of health data and disconnect between health reports and user needs in the existing technology. It effectively meets the core needs of users to monitor respiratory rate in real time and accurately and obtain reliable health reports during nebulization therapy. At the same time, it does not require additional independent monitoring equipment, realizes the integration of nebulization therapy and health monitoring, fills the gap in the health monitoring function of existing nebulizers, and also provides medical staff with a reliable basis for disease assessment.

[0007] Optionally, obtaining the user's current state includes: Obtain the target location and action characteristics of the user; Based on the target location, obtain the location change information; Based on the positional changes and the movement characteristics, it is determined whether the user is in motion. If the user is in the motion state, then the current state is set to the motion state; If the user is not in the moving state, the current state is set to a stationary state.

[0008] Optionally, determining whether the user is in motion based on the position change and the action characteristics includes: Based on the aforementioned position change, the unit position change amount is obtained; If the change in unit position meets the change requirement, then it is determined that the user is in motion. If the unit position change does not meet the change requirement, the motion feature is matched with a preset motion feature to obtain the matching degree. If the matching degree exceeds a preset matching degree threshold, it is determined that the user is in motion.

[0009] Optionally, obtaining the frequency calibration coefficient based on the target information, the current state, and the historical diagnostic records includes: Based on the target information, the user's age and gender are obtained; Based on the age and gender, obtain the characteristic coefficients; If the current state is a motion state, then obtain the duration and intensity coefficient of this motion. Obtain the user's historical movement information; Based on the historical motion information, the user's motion frequency and average duration per session are obtained. Based on the duration of the exercise, the exercise intensity coefficient, the exercise frequency, and the average duration of a single session, the exercise coefficient is obtained. Based on the historical diagnostic records, it is determined whether the user has the target medical history; If the target medical history exists, then the medical history coefficient is obtained based on the target medical history; Based on the characteristic coefficient, the motion coefficient, and the medical history coefficient, a frequency calibration coefficient is obtained, which satisfies the following calculation formula: Where x is the motion coefficient, y is the medical history coefficient, z is the characteristic coefficient, k is the frequency calibration coefficient, and T c For the duration of this exercise, T m Where I is the average duration of a single session, and I is the exercise intensity coefficient. f is the weighting coefficient related to the target medical history. m S represents the frequency of movement, and S represents the severity grading coefficient of the medical history. The time decay coefficient, and For adjustment parameters, A is the influence coefficient of age, and G is the influence coefficient of gender.

[0010] Optionally, obtaining the exercise intensity coefficient includes: Obtain the average heart rate and the user's current age for this exercise; Based on the current age, obtain the maximum heart rate; Based on the average heart rate and maximum heart rate, an exercise intensity coefficient is obtained, which satisfies the following calculation formula: Among them, H c H represents the average heart rate during this exercise. max This is the maximum heart rate.

[0011] Optionally, obtaining the characteristic coefficients based on the age and gender includes: The gender influence coefficient is obtained based on the stated gender. Based on the stated age, construct an age-related influence function; Based on the age influence function, obtain the age influence coefficient; Based on the gender influence coefficient and the age influence coefficient, the characteristic coefficient is obtained; The age influence coefficient is calculated according to the following formula: Where N is the user's age, N v C is the baseline age, and C is an adjustment constant.

[0012] Optionally, generating a health report based on the calibrated respiratory rate and sending the health report to the user terminal includes: If the calibrated respiratory rate meets the preset health requirements and the current state is an exercise state, then the exercise limit requirements are obtained based on the user's target information and target medical history. A health report is generated based on the stated exercise limits. If the calibrated respiratory rate meets the preset health requirements and the current state is a resting state, or if the calibrated respiratory rate does not meet the preset health requirements, then the health report is generated based on the user's target information and target medical history. The health report is sent to the user's terminal.

[0013] Optionally, the acquisition of exercise limit requirements based on the user's target information and target medical history includes: Obtain the age and body mass index from the target information of the user; Based on the age and the body mass index, the basic motor ability level is determined; Based on the target medical history, retrieve the database of contraindicated sports activities associated with the target medical history; Based on the basic motor ability level and the database of prohibited sports, an initial exercise limit framework is generated; Based on the difference between the calibrated respiratory rate and the current respiratory rate, a respiratory compensation coefficient is obtained; The initial exercise limit framework is modified based on the breathing compensation coefficient to generate the exercise limit requirements.

[0014] Optionally, the step of modifying the initial exercise limit framework based on the breathing compensation coefficient to generate the exercise limit requirements includes: Obtain the initial safe motion duration and initial safe motion intensity within the initial motion limit framework; The initial safe exercise duration is corrected based on the breathing compensation coefficient to obtain the safe exercise duration; The initial safe exercise intensity is corrected based on the breathing compensation coefficient to obtain the safe exercise intensity; Retrieve all prohibited sports from the prohibited sports database as the initial sports to be avoided; Based on the user's target information, obtain exercise preferences; Irrelevant items that do not match the sports preference are removed from the initial list of sports to be avoided, and the final list of sports to be avoided is generated. The exercise limit requirements are generated based on the safe exercise duration, the safe exercise intensity, and the final exercise items to be avoided.

[0015] Secondly, this application also discloses a health monitoring system based on an atomizer, which adopts the following technical solution: A health monitoring system based on an atomizer includes: The first acquisition module is used to acquire the on / off frequency of the atomizer; The second acquisition module is used to acquire the user's current breathing rate based on the opening and closing frequency; The judgment module is used to determine whether the current respiratory rate meets the preset health requirements; If the current respiratory rate does not meet the preset health requirements, the third acquisition module is used to acquire the user's target information, current status, and historical diagnostic records. The fourth acquisition module is used to acquire frequency calibration coefficients based on the target information, the current state, and the historical diagnostic records; The fifth acquisition module is used to acquire the calibrated respiratory rate based on the current respiratory rate and the frequency calibration coefficient; The report generation module is used to generate a health report based on the calibrated respiratory rate and send the health report to the user terminal.

[0016] By adopting the above technical solution, the on / off frequency of the nebulizer is obtained, and the current breathing frequency of the nebulizer user is obtained based on the on / off frequency. If the breathing frequency does not meet the preset health requirements, it means that the user's breathing frequency is too slow or too fast, exceeding the normal breathing frequency range. Therefore, the frequency calibration coefficient is obtained based on the user's target information, current status and historical diagnostic records. The current breathing frequency is calibrated based on the frequency calibration coefficient to obtain the calibrated breathing frequency. Finally, a health report is generated based on the calibrated breathing frequency and sent to the user terminal. When the current respiratory rate does not meet the preset health requirements, a frequency calibration coefficient is generated based on the user's target information, current status, and historical diagnostic records to calibrate the current respiratory rate. Compared with the current respiratory rate, the calibrated respiratory rate removes the influence of the user's physical condition, exercise status, and historical medical conditions, and can more intuitively and accurately reflect the user's health status. Therefore, this application generates health reports based on calibrated respiratory rate, which helps to significantly improve the accuracy and relevance of health reports. It precisely solves the problems of lack of relevance of health data and disconnect between health reports and user needs in the existing technology. It effectively meets the core needs of users to monitor respiratory rate in real time and accurately and obtain reliable health reports during nebulization therapy. At the same time, it does not require additional independent monitoring equipment, realizes the integration of nebulization therapy and health monitoring, fills the gap in the health monitoring function of existing nebulizers, and also provides medical staff with a reliable basis for disease assessment.

[0017] In summary, this application includes the following beneficial technical effects: When the current respiratory rate does not meet the preset health requirements, a frequency calibration coefficient is generated based on the user's target information, current status, and historical diagnostic records to calibrate the current respiratory rate. Compared with the current respiratory rate, the calibrated respiratory rate removes the influence of the user's physical condition, exercise status, and historical medical conditions, and can more intuitively and accurately reflect the user's health status. Therefore, this application generates health reports based on calibrated respiratory rate, which helps to significantly improve the accuracy and relevance of health reports. It precisely solves the problems of lack of relevance of health data and disconnect between health reports and user needs in the existing technology. It effectively meets the core needs of users to monitor respiratory rate in real time and accurately and obtain reliable health reports during nebulization therapy. At the same time, it does not require additional independent monitoring equipment, realizes the integration of nebulization therapy and health monitoring, fills the gap in the health monitoring function of existing nebulizers, and also provides medical staff with a reliable basis for disease assessment. Attached Figure Description

[0018] Figure 1 This is a main flowchart of a health monitoring method based on an atomizer according to an embodiment of this application; Figure 2 This is a flowchart of steps S201 to S205; Figure 3 This is a flowchart of steps S301 to S304; Figure 4 This is a flowchart of steps S401 to S409; Figure 5 This is a flowchart of steps S501 to S503; Figure 6 This is a flowchart of steps S601 to S604; Figure 7 This is a flowchart of steps S701 to S704; Figure 8 This is a flowchart of steps S801 to S806; Figure 9 This is a flowchart of steps S901 to S907; Figure 10 This is a block diagram of a health monitoring system based on an atomizer according to an embodiment of this application.

[0019] Explanation of reference numerals in the attached figures: 1. First acquisition module; 2. Second acquisition module; 3. Judgment module; 4. Third acquisition module; 5. Fourth acquisition module; 6. Fifth acquisition module; 7. Report generation module. Detailed Implementation

[0020] In the first aspect, this application discloses a health monitoring method based on an atomizer.

[0021] Reference Figure 1 A health monitoring method based on an atomizer includes steps S101 to S107: Step S101: Obtain the on / off frequency of the atomizer.

[0022] Specifically, in this embodiment, the on / off frequency of the nebulizer can be obtained through sensors (such as Hall sensors or infrared sensors). The on / off frequency is the frequency at which the nebulizer starts and stops, and the unit is times / minute. The on / off of the nebulizer is synchronized with the user's breathing. The nebulizer starts when inhaling and stops when exhaling. Therefore, the on / off frequency is positively correlated with the breathing frequency, providing a data basis for obtaining the breathing frequency in the future.

[0023] Step S102: Obtain the user's current respiratory rate based on the opening and closing frequency.

[0024] Specifically, in this embodiment, in order to reduce drug waste, the nebulizer control system achieves a precise correspondence between the on / off frequency and the user's breathing frequency. That is, the nebulizer is turned off when the user exhales and turned on when the user inhales. Based on the preset correspondence (e.g., one on / off cycle corresponds to one breath), the on / off frequency is directly used as the current breathing frequency. If there is a slight deviation, it can be initially adjusted by a preset correction value (e.g., ±1 breath / minute) to ensure the accuracy of the breathing frequency acquisition.

[0025] Step S103: Determine whether the current respiratory rate meets the preset health requirements.

[0026] Specifically, in this embodiment, the preset health requirement is a pre-set standard for judging whether the respiratory rate is normal. If the current respiratory rate meets the preset health requirement, it means that the user's current respiratory rate is within the normal range. If the current respiratory rate does not meet the preset health requirement, it means that the user's current respiratory rate is not within the normal range.

[0027] Step S104: If the current respiratory rate does not meet the preset health requirements, obtain the user's target information, current status, and historical diagnostic records.

[0028] Specifically, in this embodiment, the target information refers to the user's relevant information, including gender and age; the current state refers to the user's state, including active state and passive state (non-active state); the historical diagnostic record refers to the user's previous diagnostic records; in this embodiment, the nebulizer and terminal device can be connected through a relevant APP, and relevant information can be filled in in advance, so that the relevant information can be accessed at any time when using the nebulizer for treatment; in this embodiment, it can also be used in conjunction with relevant electronic devices to collect the user's movement status and related health data.

[0029] Step S105: Obtain the frequency calibration coefficient based on the target information, current status, and historical diagnostic records.

[0030] Specifically, in this embodiment, the frequency calibration coefficient is the coefficient used to calibrate the current respiratory rate.

[0031] Step S106: Obtain the calibrated respiratory rate based on the current respiratory rate and the rate calibration coefficient.

[0032] Specifically, in this embodiment, calibrating the respiratory rate means calibrating the current respiratory rate using a frequency calibration coefficient.

[0033] Step S107: Generate a health report based on the calibrated respiratory rate and send the health report to the user terminal.

[0034] Specifically, in this embodiment, the health monitoring system analyzes the calibrated respiratory rate to further understand the user's health status, and then generates a health report which is sent to the user terminal.

[0035] Reference Figure 2 In one embodiment of this example, obtaining the user's current state in step S104 includes steps S201 to S205: Step S201: Obtain the target location and motion characteristics of the user.

[0036] Specifically, a position sensor can be installed on the atomizer to locate it. When a user uses the atomizer, the position of the atomizer is the user's position. In this embodiment, the target position is the user's position, including historical position and current position; the action features are the action features made by the user, which can be identified by wearing electronic devices (such as fitness trackers).

[0037] Step S202: Based on the target location, obtain the location change information.

[0038] Specifically, in this embodiment, the location changes can be known based on the target location at different times.

[0039] Step S203: Based on the position change and motion characteristics, determine whether the user is in motion.

[0040] Step S204: If the user is in motion, set the current state to motion state.

[0041] Step S205: If the user is not in motion, set the current state to a stationary state.

[0042] Specifically, in this embodiment, the static state refers to the non-motion state.

[0043] Reference Figure 3 In one embodiment of this example, step S203, based on position changes and motion characteristics, determines whether the user is in motion, including steps S301 to S304: Step S301: Based on the position change, obtain the unit position change amount.

[0044] Specifically, the change in position per unit time is the change in position per unit time (e.g., within one hour), which is the speed of movement per unit time. In this embodiment, position does not refer to the final displacement, but rather the distance traveled. For example, if a person moves from position one to position two within one hour, and then moves from position two to position one, then the change in position per unit time is twice the distance from position one to position two. It is worth noting that the distance referred to here is not the straight-line distance, but the distance traveled.

[0045] Step S302: If the change in unit position meets the change requirement, then it is determined that the user is in motion.

[0046] Specifically, the change amount requirement is a pre-set criterion for judging whether the user is in motion based on the change in position. In this embodiment, the change amount requirement can be set to a change range, such as 3 to 15 km / h. Since the user is wearing a nebulizer, they can only perform some simple aerobic exercises, such as walking, jogging, and slow cycling.

[0047] Step S303: If the change in unit position does not meet the change requirement, the motion feature is matched with the preset motion feature to obtain the matching degree.

[0048] Specifically, in this embodiment, preset motion features are pre-set motion features stored in the database. Action features and motion features are compared and matched to obtain similarity, which is the matching degree.

[0049] Step S304: If the matching degree exceeds the preset matching degree threshold, it is determined that the user is in motion.

[0050] Specifically, in this embodiment, the preset matching threshold is the criterion for judging whether action features and motion features match.

[0051] Reference Figure 4 In one embodiment of this example, step S105, based on target information, current status, and historical diagnostic records, obtains the frequency calibration coefficient, including steps S401 to S409: Step S401: Based on the target information, obtain the user's age and gender.

[0052] Step S402: Obtain characteristic coefficients based on age and gender.

[0053] Specifically, in this embodiment, the characteristic coefficient is a calibration coefficient generated based on the user's age, gender, and other characteristics. The characteristic coefficient satisfies the following calculation formula: Where z is the characteristic coefficient, A is the age influence coefficient, and G is the gender influence coefficient.

[0054] Step S403: If the current state is a motion state, then obtain the duration and intensity coefficient of this motion.

[0055] Specifically, the duration of this exercise is the length of time the exercise lasts, and the exercise intensity coefficient is an indicator used to measure the relative intensity of exercise, which can be set based on the user's heart rate and other health data.

[0056] Step S404: Obtain the user's historical movement information.

[0057] Specifically, in this embodiment, historical motion information refers to information related to a person's historical movements, including movement frequency and duration.

[0058] Step S405: Based on historical motion information, obtain the user's motion frequency and average duration per session.

[0059] Specifically, the exercise frequency is the number of times exercise is performed within a certain period of time, and the average duration of a single exercise is the total exercise duration divided by the total number of exercises. In this embodiment, the most recent 10 exercises can be selected from historical exercise information to calculate the average duration of a single exercise.

[0060] Step S406: Obtain the exercise coefficient based on the duration of this exercise, the exercise intensity coefficient, the exercise frequency, and the average duration of a single session.

[0061] Specifically, in this embodiment, the motion coefficient satisfies the following calculation formula: Where x is the motion coefficient, T c For the duration of this exercise, T m Where f is the average duration of a single session, I is the exercise intensity coefficient, and f is the average duration of a single session. m For the frequency of motion, The time decay coefficient, and The adjustment parameters are used to adjust the degree of influence of each factor on the calibration coefficient, and can be determined through experiments or regression analysis based on actual data.

[0062] In this embodiment, where e is the natural constant. The decay constant needs to be determined based on actual data and can be set according to actual conditions or relevant standards. t is the time since the last movement (in weeks).

[0063] Step S407: Based on historical diagnostic records, determine whether the user has the target medical history.

[0064] Specifically, in this embodiment, the target medical history refers to diseases that have a significant impact on respiratory rate, such as asthma, lung disease, and heart failure.

[0065] Step S408: If a target medical history exists, obtain the medical history coefficient based on the target medical history.

[0066] Specifically, in this embodiment, the medical history coefficient satisfies the following calculation formula: Where y is the medical history coefficient. The weighting coefficients are those related to the target medical history, (0 < <1), the specific value is determined based on the severity of the target medical history and its impact on respiration; the more severe the medical history, the higher the value. The closer to 1, the more severe the condition is, S is the severity grading coefficient of the medical history, and the value ranges from 1 to n. The larger the number, the more severe the condition.

[0067] Step S409: Obtain the frequency calibration coefficient based on the characteristic coefficient, motion coefficient, and medical history coefficient.

[0068] Specifically, in this embodiment, the frequency calibration coefficient satisfies the following calculation formula: Where k is the frequency calibration coefficient.

[0069] Reference Figure 5 In one embodiment of this example, obtaining the motion intensity coefficient in step S403 includes steps S501 to S503: Step S501: Obtain the average heart rate and the user's current age for this exercise.

[0070] Step S502: Obtain the maximum heart rate based on the current age.

[0071] Specifically, in this embodiment, the maximum heart rate = 220 - current age.

[0072] Step S503: Obtain the exercise intensity coefficient based on the average heart rate and maximum heart rate.

[0073] Specifically, in this embodiment, the motion intensity coefficient satisfies the following calculation formula: Among them, H c H represents the average heart rate during this exercise. max This is the maximum heart rate.

[0074] Reference Figure 6In one embodiment of this example, step S402, which obtains characteristic coefficients based on age and gender, includes steps S601 to S604: Step S601: Obtain the gender influence coefficient based on gender.

[0075] Specifically, based on physiological and medical research, men and women have structural and functional differences in their respiratory and cardiovascular systems. These differences affect respiratory rate calibration. Specifically, men typically have larger chest cavities, larger lung volumes, and wider airways; on average, men's vital capacity is about 1000 to 1500 ml higher than women's, resulting in higher gas exchange efficiency during respiration. Therefore, under the same exercise intensity and physiological conditions, men's respiratory rate regulation is relatively lower than women's. Based on this, in this embodiment, the male gender influence coefficient is set to 1.1.

[0076] Women's basal metabolic rate is generally 6% to 10% lower than men's. A lower metabolic rate means that women consume less oxygen and produce less carbon dioxide per unit of time, and their breathing rate is naturally relatively lower; therefore, in this embodiment, the female gender influence coefficient is set to 0.9.

[0077] Step S602: Construct an age-influence function based on age.

[0078] Specifically, in this embodiment, the age influence function can be expressed as: Where N is the user's age, N v C is the baseline age, and C is an adjustment constant.

[0079] Multiple medical studies have shown that from adolescence to around 25 years old, the human body's cardiopulmonary function continues to improve. Taking maximum oxygen uptake as an example, healthy young people reach their peak in their early 20s, at which time the heart can pump more blood with each beat, and the efficiency of gas exchange in the lungs is also the highest. Therefore, in this embodiment, the baseline age is set to 25 years old, and the adjustment constant is set to 1000.

[0080] Step S603: Obtain the age influence coefficient based on the age influence function.

[0081] Specifically, by substituting the user's age N, the baseline age Nv (25 years old), and the adjustment constant C (1000) into the formula, the age influence coefficient A can be calculated. For example, for a 25-year-old user, the age influence coefficient A = 1000 / (0+1000) = 1; for a 45-year-old user, the age influence coefficient A = 1000 / (20+1000) ≈ 0.98; and for an 18-year-old user, the age influence coefficient A = 1000 / (7+1000) ≈ 0.99.

[0082] Step S604: Obtain the characteristic coefficients based on the gender influence coefficient and the age influence coefficient.

[0083] Specifically, the characteristic coefficient z is obtained by multiplying the age influence coefficient A and the gender influence coefficient G, i.e., z = A × G; for example, for a 25-year-old male user, the characteristic coefficient z = 1 × 1.1 = 1.1; for a 45-year-old female user, the characteristic coefficient z = 0.98 × 0.9 ≈ 0.88; and for an 18-year-old female user, the characteristic coefficient z = 0.99 × 0.9 ≈ 0.89.

[0084] Reference Figure 7 In one embodiment of this example, step S107, which generates a health report based on the calibrated respiratory rate and sends the health report to the user terminal, includes steps S701 to S704: Step S701: If the calibrated respiratory rate meets the preset health requirements and the current state is exercise state, then obtain the exercise limit requirements based on the user's target information and target medical history.

[0085] Specifically, if the calibrated respiratory rate meets the preset health requirements and the current state is exercise, it means that the user's current respiratory rate does not meet the preset health requirements, which is likely caused by exercise and historical medical conditions. In order to prevent the user from over-exercising and affecting their health, it is necessary to set an exercise limit requirement based on their age, gender and target medical history. This exercise limit requirement includes exercise duration, exercise intensity and exercise type.

[0086] Step S702: Generate a health report based on exercise limit requirements.

[0087] Specifically, the health report should include key exercise limits, as well as information such as calibrated respiratory rate, current exercise status, and exercise recommendations. For example, "Current calibrated respiratory rate is 22 breaths / minute (exercise status, normal range). It is recommended that each exercise session not exceed 45 minutes, and the exercise intensity should be controlled between 0.4 and 0.6. Avoid strenuous running and swimming."

[0088] Step S703: If the calibrated respiratory rate meets the preset health requirements and the current state is a resting state, or if the calibrated respiratory rate does not meet the preset health requirements, a health report is generated based on the user's target information and target medical history.

[0089] Specifically, if the calibrated respiratory rate meets the preset health requirements and the current state is a non-exercise state, or if the calibrated respiratory rate does not meet the preset health requirements, it indicates that the user's current respiratory rate is likely not due to exercise or historical medical conditions, but rather that the user has other additional medical conditions or symptoms. Therefore, a health report is generated based on gender and age, combined with the target medical history, to remind the user or their guardian to seek timely treatment. Combining the target medical history helps prevent other complications during treatment. For example, if the calibrated respiratory rate is 28 breaths / minute (resting state, abnormal range), and the medical history is asthma, the report will indicate "The current respiratory rate is abnormal. It is recommended to seek medical attention promptly, avoid contact with allergens, and take medication as prescribed by the doctor."

[0090] Step S704: Send the health report to the user terminal.

[0091] Specifically, user terminals include devices that can receive information, such as mobile phones, tablets, and smartwatches. Health reports are pushed in real time via Bluetooth or wireless networks and can also be simultaneously pushed to the terminals of associated medical staff, making it convenient for medical staff to keep abreast of the user's health status and adjust treatment plans.

[0092] Reference Figure 8 In one embodiment of this example, step S701, obtaining the exercise limit requirements based on the user's target information and target medical history, includes steps S801 to S806: Step S801: Obtain the age and body mass index from the target information of the user.

[0093] Specifically, Body Mass Index (BMI) is an internationally recognized standard for measuring a person's fatness and health. The calculation formula is: In this embodiment, the weight and height values ​​are directly extracted from the pre-stored user target information. The corresponding BMI value can be calculated by substituting them into the formula. BMI < 18.5 is underweight, 18.5 ≤ BMI < 24 is normal, and BMI ≥ 24 is overweight.

[0094] Step S802: Determine the basic motor ability level based on age and body mass index.

[0095] Specifically, the basic exercise capacity level is a grading standard set by this application to quantify the exercise tolerance of users. In this embodiment, it is divided into three levels according to the healthy range of BMI (BMI < 18.5 is underweight, 18.5 ≤ BMI < 24 is normal, and BMI ≥ 24 is overweight) and age group. Level 1 corresponds to users with normal BMI and age between 18 and 45 years old, Level 2 corresponds to users with underweight or overweight BMI and age between 18 and 45 years old, or users with normal BMI and age between 46 and 60 years old, and Level 3 corresponds to users with abnormal BMI and age between 46 and 60 years old, or users over 60 years old. This level will directly determine the leniency of the initial exercise limit framework. The higher the level, the weaker the basic exercise capacity and the stricter the corresponding initial exercise limit.

[0096] Step S803: Based on the target medical history, retrieve the database of contraindicated sports activities associated with the target medical history.

[0097] Specifically, the prohibited exercise database is a structured data set pre-built in this application. It stores the relationship between various target medical histories and corresponding prohibited exercise items. Target medical histories specifically refer to diseases that have a significant impact on respiratory rate, such as asthma, chronic lung disease, and heart failure. This step will accurately retrieve the corresponding list of prohibited exercise items from this database based on the specific target medical histories in the user's historical diagnostic records, providing a basis for the subsequent formulation of exercise limits.

[0098] Step S804: Generate an initial exercise limit framework based on the database of basic motor ability levels and prohibited sports.

[0099] Specifically, the initial exercise limit framework is a preliminary exercise restraint scheme formulated by this application for the user. It includes three core elements: initial safe exercise duration, initial safe exercise intensity, and initial exercises to be avoided. The initial safe exercise duration and intensity are set according to the basic exercise ability level: Level 1 is 60 minutes / session with an intensity of 0.6-0.8, Level 2 is 45 minutes / session with an intensity of 0.4-0.6, and Level 3 is 30 minutes / session with an intensity of 0.2-0.4. The initial exercises to be avoided directly use all the content retrieved from the prohibited exercise database to form a basic framework without respiratory status correction.

[0100] Step S805: Obtain the respiratory compensation coefficient based on the difference between the calibrated respiratory rate and the current respiratory rate.

[0101] Specifically, the respiratory compensation coefficient is a parameter used in this application to quantify the degree of interference with respiratory rate. Its value ranges from 0 to 1, and the calculation formula is μ=|calibrated respiratory rate-current respiratory rate| / preset healthy rate upper limit, where the preset healthy rate upper limit is the maximum value of normal respiratory rate of an adult under exercise, 30 breaths / minute. The magnitude of this coefficient directly reflects the degree to which the user's current respiratory state is affected by factors such as physical condition and exercise, and is the core basis for correcting the initial exercise limit framework.

[0102] Step S806: Modify the initial exercise limit framework based on the breathing compensation coefficient to generate exercise limit requirements.

[0103] Specifically, the exercise limit requirements are the personalized exercise guidance standards ultimately formulated for the user. In this embodiment, the safe exercise duration and safe exercise intensity in the initial exercise limit framework are quantitatively corrected by the breathing compensation coefficient. At the same time, the exercise items to be avoided are optimized in combination with the user's exercise preferences, so that the final exercise limit requirements not only meet the principles of health and safety, but also fit the user's actual exercise habits, thus achieving precise health guidance.

[0104] Reference Figure 9 In one embodiment of this example, step S806 modifies the initial exercise limit framework based on the breathing compensation coefficient to generate exercise limit requirements, including steps S901 to S906: Step S901: Obtain the initial safe motion duration and initial safe motion intensity in the initial motion limit framework.

[0105] Specifically, the initial safe exercise duration refers to the longest safe time for a user to exercise in a single session, set according to the user's basic exercise ability level. The initial safe exercise intensity refers to the intensity range of a user's single session, set according to the user's basic exercise ability level. In this embodiment, these two core parameters are directly extracted from the initial exercise limit framework as the basis for subsequent correction calculations.

[0106] Step S902: Correct the initial safe exercise duration based on the breathing compensation coefficient to obtain the safe exercise duration.

[0107] Specifically, the safe exercise duration is the longest safe time for a single exercise session after correction. It is negatively correlated with the breathing compensation coefficient. The calculation formula is: safe exercise duration = initial safe exercise duration × (1-μ). The larger the breathing compensation coefficient, the more serious the interference with the user's breathing state, and the shorter the corresponding safe exercise duration, thereby ensuring respiratory health and safety during exercise.

[0108] Step S903: Correct the initial safe exercise intensity based on the breathing compensation coefficient to obtain the safe exercise intensity.

[0109] Specifically, the safe exercise intensity is the range of safe exercise intensity for a single exercise session after correction. It is also negatively correlated with the respiratory compensation coefficient. The calculation formula is: safe exercise intensity = initial safe exercise intensity × (1-μ). This intensity is quantified by the exercise intensity coefficient. The corrected range will be more in line with the user's current respiratory tolerance and avoid respiratory abnormalities caused by excessive exercise intensity.

[0110] Step S904: Retrieve all prohibited items from the prohibited sports database as the initial sports to be avoided.

[0111] Specifically, the initial sports to be avoided refer to the set of all prohibited sports retrieved from the contraindicated sports database based on the user's target medical history. In this embodiment, the entire set will be extracted to ensure that no sports types that may harm the user's respiratory health are overlooked, laying the foundation for subsequent sports optimization.

[0112] Step S905: Obtain exercise preferences based on the user's target information.

[0113] Specifically, exercise preferences refer to the types of exercise that users like and frequently engage in, such as walking, jogging, Tai Chi, and yoga, which are entered into the target information in advance. This information can reflect the user's daily exercise habits. In this embodiment, the exercise items that need to be avoided at the beginning are optimized based on this information to reduce unnecessary exercise restrictions.

[0114] Step S906: Remove irrelevant items that do not match the sports preference from the initial list of sports to be avoided, and generate the final list of sports to be avoided.

[0115] Specifically, irrelevant items refer to sports types that do not overlap with the user's sports preferences in the initial list of sports to be avoided. In this embodiment, these irrelevant items are eliminated by comparing sports preferences with the initial list of sports to be avoided. The final list of sports to be avoided is the set of sports that the user must strictly avoid participating in during exercise, which ensures both health and safety and takes into account the personalized needs of exercise.

[0116] Step S907: Generate exercise limit requirements based on safe exercise duration, safe exercise intensity, and the final sports to be avoided.

[0117] Specifically, the exercise limit requirements are ultimately presented in the form of "safe exercise duration + safe exercise intensity + sports to be avoided", such as "it is recommended to exercise for 54 minutes each time, with the exercise intensity controlled between 0.54 and 0.72, and avoid strenuous running and swimming", to ensure that the exercise limit requirements are scientific, practical and in line with the needs of users.

[0118] Secondly, this application also discloses a health monitoring system based on an atomizer.

[0119] Reference Figure 10 A health monitoring system based on an atomizer includes: The first acquisition module is used to acquire the on / off frequency of the atomizer; The second acquisition module is used to acquire the user's current respiratory rate based on the opening and closing frequency; The judgment module is used to determine whether the current respiratory rate meets the preset health requirements; The third acquisition module is used to acquire the user's target information, current status, and historical diagnostic records if the current respiratory rate does not meet the preset health requirements. The fourth acquisition module is used to acquire frequency calibration coefficients based on target information, current status, and historical diagnostic records; The fifth acquisition module is used to acquire the calibrated respiratory rate based on the current respiratory rate and the rate calibration coefficient; The report generation module is used to generate health reports based on calibrated respiratory rates and send the health reports to the user terminal.

[0120] The above are all preferred embodiments of this application and are not intended to limit the scope of protection of this application. Therefore, all equivalent changes made in accordance with the structure, shape and principle of this application should be covered within the scope of protection of this application.

Claims

1. A health monitoring method based on an atomizer, characterized in that, include: Obtain the atomizer's on / off frequency; Based on the opening and closing frequency, obtain the user's current breathing rate; Determine whether the current respiratory rate meets the preset health requirements; If the current respiratory rate does not meet the preset health requirements, then the user's target information, current status, and historical diagnostic records are obtained. Based on the target information, the current state, and the historical diagnostic records, obtain the frequency calibration coefficient; Based on the current respiratory rate and the frequency calibration coefficient, obtain the calibrated respiratory rate; Based on the calibrated respiratory rate, a health report is generated and sent to the user terminal.

2. The health monitoring method based on an atomizer according to claim 1, characterized in that, Obtaining the current status of the user includes: Obtain the target location and action characteristics of the user; Based on the target location, obtain the location change information; Based on the positional changes and the movement characteristics, it is determined whether the user is in motion. If the user is in the motion state, then the current state is set to the motion state; If the user is not in the moving state, the current state is set to a stationary state.

3. The health monitoring method based on an atomizer according to claim 2, characterized in that, The step of determining whether the user is in motion based on the position change and the movement characteristics includes: Based on the aforementioned position change, the unit position change amount is obtained; If the change in unit position meets the change requirement, then it is determined that the user is in motion. If the unit position change does not meet the change requirement, the motion feature is matched with a preset motion feature to obtain the matching degree. If the matching degree exceeds a preset matching degree threshold, it is determined that the user is in motion.

4. The health monitoring method based on an atomizer according to claim 1, characterized in that, The process of obtaining the frequency calibration coefficient based on the target information, the current state, and the historical diagnostic records includes: Based on the target information, the user's age and gender are obtained; Based on the age and gender, obtain the characteristic coefficients; If the current state is a motion state, then obtain the duration and intensity coefficient of this motion. Obtain the user's historical movement information; Based on the historical motion information, the user's motion frequency and average duration per session are obtained. Based on the duration of the exercise, the exercise intensity coefficient, the exercise frequency, and the average duration of a single session, the exercise coefficient is obtained. Based on the historical diagnostic records, it is determined whether the user has the target medical history; If the target medical history exists, then the medical history coefficient is obtained based on the target medical history; Based on the characteristic coefficient, the motion coefficient, and the medical history coefficient, a frequency calibration coefficient is obtained, which satisfies the following calculation formula: Where x is the motion coefficient, y is the medical history coefficient, z is the characteristic coefficient, k is the frequency calibration coefficient, and T c For the duration of this exercise, T m Where I is the average duration of a single session, and I is the exercise intensity coefficient. f is the weighting coefficient related to the target medical history. m S represents the frequency of movement, and S represents the severity grading coefficient of the medical history. The time decay coefficient, and For adjustment parameters, A is the influence coefficient of age, and G is the influence coefficient of gender.

5. A health monitoring method based on an atomizer according to claim 4, characterized in that, Obtaining the exercise intensity coefficient includes: Obtain the average heart rate and the user's current age for this exercise; Based on the current age, obtain the maximum heart rate; Based on the average heart rate and maximum heart rate, an exercise intensity coefficient is obtained, which satisfies the following calculation formula: Among them, H c H represents the average heart rate during this exercise. max This is the maximum heart rate.

6. A health monitoring method based on an atomizer according to claim 4, characterized in that, The process of obtaining the characteristic coefficients based on the age and gender includes: The gender influence coefficient is obtained based on the stated gender. Based on the stated age, construct an age-related influence function; Based on the age influence function, obtain the age influence coefficient; Based on the gender influence coefficient and the age influence coefficient, the characteristic coefficient is obtained; The age influence coefficient is calculated according to the following formula: Where N is the user's age, N v C is the baseline age, and C is an adjustment constant.

7. A health monitoring method based on an atomizer according to claim 1, characterized in that, The step of generating a health report based on the calibrated respiratory rate and sending the health report to the user terminal includes: If the calibrated respiratory rate meets the preset health requirements and the current state is an exercise state, then the exercise limit requirements are obtained based on the user's target information and target medical history. A health report is generated based on the stated exercise limits. If the calibrated respiratory rate meets the preset health requirements and the current state is a resting state, or if the calibrated respiratory rate does not meet the preset health requirements, then the health report is generated based on the user's target information and target medical history. The health report is sent to the user's terminal.

8. A health monitoring method based on an atomizer according to claim 7, characterized in that, The requirements for obtaining exercise limits based on the user's target information and target medical history include: Obtain the age and body mass index from the target information of the user; Based on the age and the body mass index, the basic motor ability level is determined; Based on the target medical history, retrieve the database of contraindicated sports activities associated with the target medical history; Based on the basic motor ability level and the database of prohibited sports, an initial exercise limit framework is generated; Based on the difference between the calibrated respiratory rate and the current respiratory rate, a respiratory compensation coefficient is obtained; The initial exercise limit framework is modified based on the breathing compensation coefficient to generate the exercise limit requirements.

9. A health monitoring method based on an atomizer according to claim 8, characterized in that, The step of modifying the initial exercise limit framework based on the breathing compensation coefficient to generate the exercise limit requirements includes: Obtain the initial safe motion duration and initial safe motion intensity within the initial motion limit framework; The initial safe exercise duration is corrected based on the breathing compensation coefficient to obtain the safe exercise duration; The initial safe exercise intensity is corrected based on the breathing compensation coefficient to obtain the safe exercise intensity; Retrieve all prohibited sports from the prohibited sports database as the initial sports to be avoided; Based on the user's target information, obtain exercise preferences; Irrelevant items that do not match the sports preference are removed from the initial list of sports to be avoided, and the final list of sports to be avoided is generated. The exercise limit requirements are generated based on the safe exercise duration, the safe exercise intensity, and the final exercise items to be avoided.

10. A health monitoring system based on an atomizer, characterized in that, include: The first acquisition module is used to acquire the on / off frequency of the atomizer; The second acquisition module is used to acquire the user's current breathing rate based on the opening and closing frequency; The judgment module is used to determine whether the current respiratory rate meets the preset health requirements; If the current respiratory rate does not meet the preset health requirements, the third acquisition module is used to acquire the user's target information, current status, and historical diagnostic records. The fourth acquisition module is used to acquire frequency calibration coefficients based on the target information, the current state, and the historical diagnostic records; The fifth acquisition module is used to acquire the calibrated respiratory rate based on the current respiratory rate and the frequency calibration coefficient; The report generation module is used to generate a health report based on the calibrated respiratory rate and send the health report to the user terminal.

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