Human body physiological index real-time monitoring system and method

Abstract

The invention provides a human body physiological index real-time monitoring system and method, and relates to the technical field of medical health, and the system comprises a data collection module for collecting user basic data, a state judgment module for calculating a state value and judging a state, and a health range determination module for determining health ranges of physiological indexes in different states; the monitoring module monitors physiological indexes in real time, the data comparison module performs data comparison, the alarm module gives an alarm when the indexes exceed the range, and the data updating module updates basic data. By collecting, calculating, monitoring and comparing the physiological data of the user and performing graded alarm when the indexes are abnormal, real-time monitoring and health early warning on the physiological indexes of the human body are realized, and the health of the user is guaranteed.

Description

Technical Field

[0001] This invention relates to the field of medical and health technology, and more specifically, to a real-time monitoring system and method for human physiological indicators. Background Technology

[0002] With the development of medical and health technologies, people's demand for real-time monitoring of their own physiological indicators is increasing. Various wearable devices and monitoring technologies are emerging, but how to accurately monitor physiological indicators for different individuals based on their physical differences and different states (such as resting, sleeping, and exercising) has become an urgent technical problem to be solved.

[0003] Traditional physiological indicator monitoring systems often use uniform health standards, without considering individual differences in height, weight, age, etc., and cannot adjust the health range according to the user's different status, resulting in inaccurate monitoring results, lack of targeted alarm mechanisms, and difficulty in meeting personalized health monitoring needs.

[0004] Therefore, it is necessary to design a real-time monitoring system and method for human physiological indicators to solve the problems of inaccurate monitoring and lack of targeted alarms caused by the failure to consider individual differences in physical condition and changes in state in existing technologies, and the lack of uniform health standards. This will enable accurate monitoring and personalized early warning of physiological indicators for different individuals in different states. Summary of the Invention

[0005] In view of this, the present invention proposes a real-time monitoring system and method for human physiological indicators, aiming to solve the problems of inaccurate monitoring and lack of targeted alarms caused by the existing technology not taking into account individual differences in physical condition and changes in physical state, and adopting a uniform health standard.

[0006] In one aspect, the present invention proposes a real-time monitoring system for human physiological indicators, comprising: The data collection module is used to collect basic data such as the user's height, weight, age, respiratory rate, skin conductance, and muscle conductance. The status determination module is used to calculate the user's status value and determine the user's status. The health range determination module is used to determine the user's health range for heart rate, blood pressure, and body temperature under different conditions; The monitoring module is used to monitor the user's physiological indicators such as heart rate, blood pressure and body temperature in real time; The data comparison module is used to compare the physiological indicator data with the health range under the corresponding state; An alarm module is used to issue an alarm when the physiological indicator data exceeds the healthy range of the corresponding state; The data update module is used to update the basic data.

[0007] Furthermore, when calculating the user's state value and determining the user's state, the following steps are included: Preset height is H, weight is W, age is A, respiratory rate is BF, skin conductance is SED, muscle conductance is MED, state is SV, resting state threshold is [value missing], and movement state threshold is [value missing]. ; The status value is calculated using the user's respiratory rate, skin conductance, and muscle conductance. The resting state value threshold and the movement state value threshold are calculated using the user's height, weight, and age. when If the user is in a resting state, then the user is considered to be in a resting state. when If the user is asleep, then the system determines that the user is in a sleep state. when If the user is in motion, then it is determined that the user is in motion.

[0008] Furthermore, the specific formula for calculating the state value is as follows: in, , , The preset weighting coefficients, and , ; The resting state value threshold and the motion state value threshold The specific calculation formula is as follows: ; in, These are preset calculation parameters, and .

[0009] Furthermore, when comparing the monitored heart rate, blood pressure, and body temperature with the corresponding healthy range, this includes: The preset monitored heart rate is HR, systolic blood pressure is SBP, diastolic blood pressure is DBP, body temperature is T, and the healthy range of heart rate is [missing value]. The healthy range for systolic blood pressure is [value missing], the healthy range for diastolic blood pressure is [value missing], and the healthy range for body temperature is [value missing]. ; The healthy ranges for heart rate, systolic blood pressure, diastolic blood pressure, and body temperature are calculated based on the user's height, weight, age, and health status. when or or or If this occurs, the user's physiological indicators are determined to be outside the healthy range; when And and or If so, the user's physiological indicators are determined to be within a healthy range.

[0010] Furthermore, the specific formulas for calculating the healthy ranges for heart rate, systolic blood pressure, diastolic blood pressure, and body temperature are as follows: ; ; ; ; ; ; ; ; in, , , , These are the preset calculation coefficients.

[0011] Furthermore, when the physiological indicator data exceeds the healthy range for the corresponding state, the alarm is issued including: The actual monitoring value of a certain physiological indicator is preset. Its corresponding health range is The single out-of-bounds rate The overall excess rate The first threshold is The second threshold is ; When the user is in a resting state: like If so, a buzzer alarm will sound; like If so, both a buzzer alarm and a continuous light alarm will be issued simultaneously; like If the alarm is triggered, a buzzer alarm and a continuous light alarm will be issued simultaneously, and a warning message will be sent to the preset emergency contact. When the user is asleep: like If so, a flashing light alarm will be emitted; like If the light flashing alarm and vibration alarm are triggered simultaneously; like It will simultaneously issue a flashing light alarm and a vibration alarm, and send a warning message to the preset emergency contact. When the user is in motion: like If so, a warning label will be displayed in highlighted font on the device screen; like If the warning is displayed in highlighted font on the device screen, a warning message will be read aloud simultaneously. like If the warning is displayed in highlighted font on the device screen, a warning message will be broadcast via voice, and a warning message will be sent to the preset emergency contact.

[0012] Furthermore, the specific formula for calculating the overall excess rate is as follows: Where N is the number of physiological indicators that exceed the healthy range, and ; when At that time, ; when At that time, ; in , , .

[0013] Furthermore, updating the basic data includes: The preset data verification period is The threshold for the number of alarms within the data verification period is The actual number of alarms during the data verification period was: ; when > If this occurs, the data collection module is triggered to re-collect the basic data and overwrite the original data; when < If so, the current basic data will remain unchanged.

[0014] Compared with existing technologies, the beneficial effects of this invention are as follows: This invention's real-time monitoring system for human physiological indicators collects basic data such as user height and weight to calculate status values ​​to determine states such as resting, sleeping, and exercising. Based on this, it determines the healthy range of physiological indicators such as heart rate and blood pressure under different states, achieving personalized monitoring. It monitors and compares healthy ranges in real time, and uses a tiered alarm system combining individual and comprehensive exceedance rates to improve monitoring accuracy and alarm targeting. The number of alarms within the data verification cycle triggers basic data updates, ensuring data timeliness. This allows for accurate and timely monitoring and health warnings of physiological indicators for different individuals under different states.

[0015] On the other hand, this invention proposes a method for real-time monitoring of human physiological indicators, including: S1 collects basic data such as the user's height, weight, age, respiratory rate, skin conductance and muscle conductance. S2, calculate the user's state value and determine the user's state; S3 determines the user's healthy range of heart rate, blood pressure, and body temperature under different conditions; S4 monitors users' physiological indicators such as heart rate, blood pressure, and body temperature in real time; S5, compare the physiological indicator data with the health range under the corresponding state; S6, when the physiological indicator data exceeds the healthy range of the corresponding state, an alarm is issued; S7, Update the aforementioned basic data.

[0016] It is understandable that the aforementioned real-time monitoring system and method for human physiological indicators have the same beneficial effects, and will not be elaborated further here. Attached Figure Description

[0017] Various other advantages and benefits will become apparent to those skilled in the art upon reading the following detailed description of preferred embodiments. The accompanying drawings are for illustrative purposes only and are not intended to limit the invention. Furthermore, the same reference numerals denote the same parts throughout the drawings. In the drawings: Figure 1 Functional block diagram of a real-time monitoring system for human physiological indicators provided in an embodiment of the present invention; Figure 2 A flowchart of a real-time monitoring method for human physiological indicators provided in an embodiment of the present invention; Detailed Implementation

[0018] Exemplary embodiments of the present invention will now be described in more detail with reference to the accompanying drawings. While exemplary embodiments of the present invention are shown in the drawings, it should be understood that the present invention can be implemented in various forms and should not be limited to the embodiments set forth herein. Rather, these embodiments are provided to enable a more thorough understanding of the present invention and to fully convey the scope of the invention to those skilled in the art. It should be noted that, without conflict, the embodiments and features described herein can be combined with each other. The present invention will now be described in detail with reference to the accompanying drawings and embodiments.

[0019] Reference Figure 1 As shown in some embodiments of this application, a real-time monitoring system for human physiological indicators includes: The data collection module is used to collect basic data such as the user's height, weight, age, respiratory rate, skin conductance, and muscle conductance. The status determination module is used to calculate the user's status value and determine the user's status. The health range determination module is used to determine the user's health range for heart rate, blood pressure, and body temperature under different conditions; The monitoring module is used to monitor the user's physiological indicators such as heart rate, blood pressure and body temperature in real time; The data comparison module is used to compare the physiological indicator data with the health range under the corresponding state; An alarm module is used to issue an alarm when the physiological indicator data exceeds the healthy range of the corresponding state; The data update module is used to update the basic data.

[0020] Understandably, a complete physiological indicator monitoring system has been constructed. The data collection module comprehensively acquires basic user information (height, weight, etc.) to provide personalized data for subsequent monitoring; the status judgment module assesses user status based on physiological data, making monitoring more targeted; the health range determination module sets health thresholds based on status, improving monitoring accuracy; the monitoring and data comparison module achieves real-time data collection and analysis, ensuring timely detection of anomalies; the alarm module triggers warnings when indicators exceed limits, protecting user health and safety; and the data update module dynamically maintains data validity. These modules work collaboratively to form a closed loop of "data collection - status analysis - threshold setting - real-time monitoring - anomaly alarm - data iteration," achieving full-process, intelligent monitoring of human physiological indicators.

[0021] In some embodiments of this application, calculating the user's state value and determining the user's state includes: Preset height is H, weight is W, age is A, respiratory rate is BF, skin conductance is SED, muscle conductance is MED, state is SV, resting state threshold is [value missing], and movement state threshold is [value missing]. ; The status value is calculated using the user's respiratory rate, skin conductance, and muscle conductance. The resting state value threshold and the movement state value threshold are calculated using the user's height, weight, and age. when If the user is in a resting state, then the user is considered to be in a resting state. when If the user is asleep, then the system determines that the user is in a sleep state. when If the user is in motion, then it is determined that the user is in motion.

[0022] The specific formula for calculating the state value is as follows: in, , , The preset weighting coefficients, and , ; The resting state value threshold and the motion state value threshold The specific calculation formula is as follows: ; in, These are preset calculation parameters, and .

[0023] Specifically, the resting state is a relatively quiet, relaxed state with minimal physical activity. At this time, the breathing rate is stable, the skin electrical activity is weak, and the muscles are basically relaxed. The data corresponding to these physiological indicators are relatively small. In the sleep state, although the body is also in a non-moving resting state, compared with the resting state, the body still has some unconscious body movements, changes in breathing rhythm, and some activity of the nervous system during sleep. This makes the breathing rate, skin electrical activity, and muscle electrical activity higher than in the resting state. Even if the increase is not large, it will still make the corresponding state values ​​of the sleep state higher than those of the resting state.

[0024] Weighting coefficient , , It is a proportional parameter determined through statistical analysis of respiratory rate, skin conductance, and muscle conductance data of people in different states; The calculation parameters are determined through statistical analysis of state value data of a large number of people with different heights, weights, and ages.

[0025] Understandable, Factors such as height, weight, and age affect the resting state threshold. and motion state threshold The influence of a factor is kept within a reasonable quantitative range, avoiding the influence of any one factor being too large or too small, so as to more accurately reflect the differences in physiological characteristics of different individuals under different conditions.

[0026] Understandably, by fusing multi-dimensional physiological indicators to calculate state values ​​(respiratory rate, skin conductance, and electromyography), and combining these with individual user characteristics (height, weight, and age) to dynamically generate resting and activity state thresholds, state assessments become more closely aligned with actual physiological states. Integrating weighting coefficients allows for precise differentiation between resting, sleep, and activity states, avoiding misjudgments based on a single indicator. This state recognition method, based on individual differences, lays the foundation for personalized settings of subsequent health ranges, ensuring more scientific monitoring of physiological indicators under different activity states.

[0027] In some embodiments of this application, comparing the monitored heart rate, blood pressure, and body temperature with the healthy range for the corresponding state includes: The preset monitored heart rate is HR, systolic blood pressure is SBP, diastolic blood pressure is DBP, body temperature is T, and the healthy range of heart rate is [missing value]. The healthy range for systolic blood pressure is [value missing], the healthy range for diastolic blood pressure is [value missing], and the healthy range for body temperature is [value missing]. ; The healthy ranges for heart rate, systolic blood pressure, diastolic blood pressure, and body temperature are calculated based on the user's height, weight, age, and health status. when or or or If this occurs, the user's physiological indicators are determined to be outside the healthy range; when And and or If so, the user's physiological indicators are determined to be within a healthy range.

[0028] The specific formulas for calculating the healthy ranges for heart rate, systolic blood pressure, diastolic blood pressure, and body temperature are as follows: ; ; ; ; ; ; ; ; in, , , , These are the preset calculation coefficients.

[0029] Specifically, , , , The calculation parameters are determined through statistical analysis of heart rate, blood pressure, and body temperature data from a large population with different heights, weights, ages, and physical conditions.

[0030] Understandably, this system dynamically calculates healthy ranges for heart rate, blood pressure, and body temperature based on individual user characteristics (height, weight, age) and real-time status values, breaking the limitations of traditional fixed thresholds. For example, the healthy range for heart rate during exercise will be adjusted according to individual differences, preventing normal indicators in healthy individuals from being misjudged as abnormal. This dual-dimensional health range determination mechanism of "individual + status" significantly improves the adaptability and accuracy of the monitoring system, reduces false alarm rates, and provides users with more reliable health assessments.

[0031] In some embodiments of this application, issuing an alarm when the physiological indicator data exceeds the healthy range of the corresponding state includes: The actual monitoring value of a certain physiological indicator is preset. Its corresponding health range is The single out-of-bounds rate The overall excess rate The first threshold is The second threshold is ; When the user is in a resting state: like If so, a buzzer alarm will sound; like If so, both a buzzer alarm and a continuous light alarm will be issued simultaneously; like If the alarm is triggered, a buzzer alarm and a continuous light alarm will be issued simultaneously, and a warning message will be sent to the preset emergency contact. When the user is asleep: like If so, a flashing light alarm will be emitted; like If the light flashing alarm and vibration alarm are triggered simultaneously; like It will simultaneously issue a flashing light alarm and a vibration alarm, and send a warning message to the preset emergency contact. When the user is in motion: like If so, a warning label will be displayed in highlighted font on the device screen; like If the warning is displayed in highlighted font on the device screen, a warning message will be read aloud simultaneously. like If the warning is displayed in highlighted font on the device screen, a warning message will be broadcast via voice, and a warning message will be sent to the preset emergency contact.

[0032] The formula for calculating the overall excess rate is as follows: Where N is the number of physiological indicators that exceed the healthy range, and ; when At that time, ; when At that time, ; in , , .

[0033] Specifically, For a certain physiological indicator, when When the heart rate is... = , = When i=2, when When the blood pressure is systolic, = , = When i=3, when When the diastolic blood pressure is [value], = , = When i=4, when When it is body temperature, = , = ; The first and second exceedance thresholds are boundary values ​​determined through statistical analysis of the degree of harm caused by abnormalities in different physiological indicators.

[0034] Understandably, a tiered, differentiated alarm mechanism was designed, employing different alarm methods based on the user's state (resting, sleeping, active) and the degree to which indicators are exceeded (individual exceedance rate, overall exceedance rate). For example, in the resting state, minor anomalies trigger only a buzzer alarm, while severe anomalies trigger both an audible and visual alarm and notification to emergency contacts; in the sleeping state, flashing lights and vibration alarms are used to ensure effective alerts without disturbing the user; in the active state, real-time reminders are provided through screen highlighting and voice broadcasting, meeting the information needs of active scenarios. This mechanism, while ensuring safety, also considers user experience, making the alarm strategy more humane and targeted.

[0035] In some embodiments of this application, updating the underlying data includes: The preset data verification period is The threshold for the number of alarms within the data verification period is The actual number of alarms during the data verification period was: ; when > If this occurs, the data collection module is triggered to re-collect the basic data and overwrite the original data; when < If so, the current basic data will remain unchanged.

[0036] Specifically, the data verification time The timeframe is determined based on the system's data stability monitoring requirements, and the threshold for the number of data verification alarms is... It is a critical value obtained by analyzing the relationship between fluctuations in a large amount of user data and the number of alarms.

[0037] Understandably, dynamic maintenance of basic data is achieved through data verification cycles and alarm frequency thresholds. When changes in a user's physical condition (such as weight fluctuations or improved athletic ability) lead to frequent alarms, the system automatically re-collects basic data such as height and weight to avoid monitoring biases caused by data lag. This adaptive update mechanism ensures that the system always operates based on the latest data, continuously maintaining the accuracy and reliability of monitoring, and is particularly suitable for tracking physiological indicators in long-term use scenarios.

[0038] Reference Figure 2 As shown in some embodiments of this application, a method for real-time monitoring of human physiological indicators includes: S1 collects basic data such as the user's height, weight, age, respiratory rate, skin conductance and muscle conductance. S2, calculate the user's state value and determine the user's state; S3 determines the user's healthy range of heart rate, blood pressure, and body temperature under different conditions; S4 monitors users' physiological indicators such as heart rate, blood pressure, and body temperature in real time; S5, compare the physiological indicator data with the health range under the corresponding state; S6, when the physiological indicator data exceeds the healthy range of the corresponding state, an alarm is issued; S7, Update the aforementioned basic data.

[0039] It is understandable that the aforementioned real-time monitoring system and method for human physiological indicators have the same beneficial effects, and will not be elaborated further here.

[0040] It should be noted that: Numerous specific details are set forth in the specification provided herein. However, it will be understood that embodiments of this application may be practiced without these specific details. In some instances, well-known structures and techniques have not been shown in detail so as not to obscure the understanding of this specification.

[0041] Furthermore, those skilled in the art will understand that although some embodiments described herein include certain features included in other embodiments but not others, combinations of features from different embodiments are meant to be within the scope of this application and form different embodiments.

[0042] The above description is merely a preferred 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.

Claims

1. A real-time monitoring system for human physiological indicators, characterized in that, include: The data collection module is used to collect basic data such as the user's height, weight, age, respiratory rate, skin conductance, and muscle conductance. The status determination module is used to calculate the user's status value and determine the user's status. The health range determination module is used to determine the user's health range for heart rate, blood pressure, and body temperature under different conditions; The monitoring module is used to monitor the user's physiological indicators such as heart rate, blood pressure and body temperature in real time; The data comparison module is used to compare the physiological indicator data with the health range under the corresponding state; An alarm module is used to issue an alarm when the physiological indicator data exceeds the healthy range of the corresponding state; The data update module is used to update the basic data.

2. The real-time monitoring system for human physiological indicators according to claim 1, characterized in that, Calculating a user's state value and determining the user's state includes: Preset height is H, weight is W, age is A, respiratory rate is BF, skin conductance is SED, muscle conductance is MED, state is SV, resting state threshold is [value missing], and movement state threshold is [value missing]. ; The status value is calculated using the user's respiratory rate, skin conductance, and muscle conductance. The resting state value threshold and the movement state value threshold are calculated using the user's height, weight, and age. when If the user is in a resting state, then the user is considered to be in a resting state. when If the user is asleep, then the system determines that the user is in a sleep state. when If the user is in motion, then it is determined that the user is in motion.

3. The real-time monitoring system for human physiological indicators according to claim 2, characterized in that, The specific formula for calculating the state value is as follows: in, , , The preset weighting coefficients, and , ; The resting state value threshold and the motion state value threshold The specific calculation formula is as follows: ； in, These are preset calculation parameters, and .

4. The real-time monitoring system for human physiological indicators according to claim 3, characterized in that, When comparing the monitored heart rate, blood pressure, and body temperature with the corresponding healthy range, the following is included: The preset monitored heart rate is HR, systolic blood pressure is SBP, diastolic blood pressure is DBP, body temperature is T, and the healthy range of heart rate is [missing value]. The healthy range for systolic blood pressure is [value missing], the healthy range for diastolic blood pressure is [value missing], and the healthy range for body temperature is [value missing]. ; The healthy ranges for heart rate, systolic blood pressure, diastolic blood pressure, and body temperature are calculated based on the user's height, weight, age, and health status. when or or or If this occurs, the user's physiological indicators are determined to be outside the healthy range; when And and or If so, the user's physiological indicators are determined to be within a healthy range.

5. A real-time monitoring system for human physiological indicators according to claim 4, characterized in that, The specific formulas for calculating the healthy ranges for heart rate, systolic blood pressure, diastolic blood pressure, and body temperature are as follows: ； ； ； ； ； ； ； ； in, , , , These are the preset calculation coefficients.

6. The real-time monitoring system for human physiological indicators according to claim 5, characterized in that, When the physiological indicator data exceeds the healthy range for the corresponding state, the alarm is issued including: The actual monitoring value of a certain physiological indicator is preset. Its corresponding health range is The single out-of-bounds rate The overall excess rate The first threshold is The second threshold is ; When the user is in a resting state: like If so, a buzzer alarm will sound; like If so, both a buzzer alarm and a continuous light alarm will be issued simultaneously; like If the alarm is triggered, a buzzer alarm and a continuous light alarm will be issued simultaneously, and a warning message will be sent to the preset emergency contact. When the user is asleep: like If so, a flashing light alarm will be emitted; like If the light flashing alarm and vibration alarm are triggered simultaneously; like It will simultaneously issue a flashing light alarm and a vibration alarm, and send a warning message to the preset emergency contact. When the user is in motion: like If so, a warning label will be displayed in highlighted font on the device screen; like If the warning is displayed in highlighted font on the device screen, a warning message will be read aloud simultaneously. like If the warning is displayed in highlighted font on the device screen, a warning message will be broadcast via voice, and a warning message will be sent to the preset emergency contact.

7. A real-time monitoring system for human physiological indicators according to claim 6, characterized in that, The formula for calculating the overall excess rate is as follows: Where N is the number of physiological indicators that exceed the healthy range, and ; when At that time, ; when At that time, ; in , , .

8. A real-time monitoring system for human physiological indicators according to claim 7, characterized in that, Updating the aforementioned basic data includes: The preset data verification period is The threshold for the number of alarms within the data verification period is The actual number of alarms during the data verification period was: ; when > If this occurs, the data collection module is triggered to re-collect the basic data and overwrite the original data; when < If so, the current basic data will remain unchanged.

9. A method for real-time monitoring of human physiological indicators, characterized in that, The system is applied to a real-time monitoring system for human physiological indicators as described in any one of claims 1-8, comprising: S1 collects basic data such as the user's height, weight, age, respiratory rate, skin conductance, and muscle conductance. S2, calculate the user's state value and determine the user's state; S3 determines the user's healthy range of heart rate, blood pressure, and body temperature under different conditions; S4 monitors users' physiological indicators such as heart rate, blood pressure, and body temperature in real time; S5, compare the physiological indicator data with the health range under the corresponding state; S6, when the physiological indicator data exceeds the healthy range of the corresponding state, an alarm is issued; S7, Update the aforementioned basic data.

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