Information feedback and physiological index measurement frequency adjustment system and method, and robot

Abstract

The invention relates to an information feedback system and method based on physiological data, a physiological index measurement frequency adjusting system and method, a robot, electronic equipment and a program product. The information feedback system comprises: a first interface module configured to receive medication information of a user; a second interface module configured to receive a plurality of physiological index measurements of the user, the physiological indexes including a blood pressure index; the data processing module is configured to determine basic blood pressure data of the user according to the multiple blood pressure measurement values of the user, and the basic blood pressure data of the user comprises an average blood pressure value and / or a current blood pressure value; a determination module configured to determine a blood pressure level of the user among a plurality of predetermined blood pressure levels based on the base blood pressure data of the user, where each predetermined blood pressure level is associated with a medical intervention or a specific medication adjustment operation; and the recommendation module is configured to output a medication adjustment suggestion or a medical intervention suggestion of the user based on the blood pressure level of the user and the medication information of the user.

Description

Technical Field

[0001] The present invention relates to the field of medical equipment, in particular to an information feedback system and method based on physiological data, a physiological index measurement frequency adjustment system and method, a robot, and also to related electronic equipment and program products. Background Art

[0002] As the global population ages, the incidence of cardiovascular disease continues to rise. According to statistics from the World Health Organization, cardiovascular disease has become one of the leading causes of global disease burden and death. Both developed and developing countries face the challenge of preventing and treating cardiovascular disease.

[0003] In clinical practice, accurate blood pressure monitoring and timely medication adjustments are crucial for the prevention and treatment of cardiovascular diseases. However, existing blood pressure monitoring solutions have many shortcomings. In hospital scenarios, blood pressure measurements in clinics are often inaccurate due to reasons such as irregular measurement environments (such as chairs without backrests), insufficient measurements (not taking 2-3 measurements), and insufficient rest time (not resting quietly for 3 minutes). Although 24-hour dynamic blood pressure monitoring can provide more accurate data, it requires an appointment and is inconvenient to wear, making it difficult to use widely.

[0004] As an important means of blood pressure monitoring, home blood pressure measurement currently faces many challenges. Existing home blood pressure measurement lacks effective guidance, resulting in problems such as irregular measurement posture and errors in cuff use. In addition, existing systems often lack a blood pressure diary reminder function and cannot generate standardized blood pressure diary reports, affecting the continuity of measurement and the reliability of data.

[0005] In terms of drug treatment, due to the lack of reliable home blood pressure monitoring data, clinicians often adopt a conservative strategy when adjusting medication. After being discharged from the hospital, patients with cardiovascular disease usually use low-dose medications, and many patients fail to reach the target dose of the drug, which to some extent affects the treatment effect and cannot effectively reduce the recurrence rate and mortality of cardiovascular disease.

[0006] The content of this background technology description is only for facilitating understanding of the relevant technology in this field and is not regarded as an admission of the prior art. Summary of the invention

[0007] The embodiments of the present invention aim to provide a solution that at least partially solves the above problems.

[0008] In a first aspect, an embodiment of the present invention provides an information feedback system based on physiological data, comprising:

[0009] The first interface module is configured to receive medication information of the user, wherein the medication information includes the name of the medication used by the user, the dosage of the medication, the medication time and the medication interval;

[0010] A second interface module is configured to receive a plurality of physiological index measurement values ​​of a user, wherein the physiological index includes a blood pressure index, and the blood pressure index includes a systolic blood pressure (SBP) and a diastolic blood pressure (DBP);

[0011] a data processing module, configured to determine basic blood pressure data of the user according to a plurality of blood pressure measurement values ​​of the user, wherein the basic blood pressure data of the user includes an average blood pressure value and / or a current blood pressure value;

[0012] a determination module configured to determine the blood pressure level of the user among a plurality of predetermined blood pressure levels based on the basic blood pressure data of the user, wherein each predetermined blood pressure level is associated with a medical intervention or a specific medication adjustment operation; and

[0013] The recommendation module is configured to output a medication adjustment suggestion or a medical intervention suggestion for the user based on the blood pressure level of the user and the medication information of the user, wherein the medication adjustment plan includes at least one of increasing or decreasing the dosage, changing the medication, changing the medication time and changing the medication interval.

[0014] In some embodiments, the physiological indicators include the user's heart indicators, and the recommendation module is further configured to output the user's medication adjustment suggestions or medical intervention suggestions based on the user's blood pressure level, the user's medication information and the user's heart indicator data, wherein the medication adjustment suggestions are also adjusted based on whether the user suffers from heart disease and / or the severity of the heart disease.

[0015] In some embodiments, the physiological indicators include cardiac indicators of the user, and the cardiac indicator measurements include heart rate. The recommendation module is further configured to output medication adjustment suggestions or medical intervention suggestions for the user based on the user's blood pressure level, the user's medication information and the user's heart rate data, wherein the medication adjustment suggestions are also adjusted based on the user's heart rate data.

[0016] In some embodiments, the plurality of predetermined blood pressure levels include a plurality of traffic light-style threshold areas, including a (red light) emergency area, a (yellow light) elevated area, a (green light) target area, and a (blue light) too low area, wherein:

[0017] The (red light) emergency zone is defined as systolic blood pressure exceeding the first threshold or diastolic blood pressure exceeding the second threshold,

[0018] (Yellow light) The elevated area is defined as the systolic blood pressure being within the first elevated range defined by the first threshold and the third threshold or the diastolic blood pressure being within the second elevated range defined by the second threshold and the fourth threshold,

[0019] (Green Light) The target zone is defined as the systolic blood pressure being within a first target range defined by the third and fifth thresholds and the diastolic blood pressure being within a second target range defined by the fourth and sixth thresholds, and

[0020] (Blue light) The too low area is defined as systolic blood pressure below the fifth threshold or diastolic blood pressure below the sixth threshold, the first threshold is greater than the third threshold, the third threshold is greater than the fifth threshold, the second threshold is greater than the fourth threshold, and the fourth threshold is greater than the sixth threshold.

[0021] In these embodiments, the recommendation module is further configured to:

[0022] When the user's blood pressure level is in the (red light) emergency zone, triggering an immediate medical intervention recommendation;

[0023] When the user's blood pressure level is in the elevated zone (yellow light), a suggestion to increase the medication level is triggered, wherein there are multiple medication levels;

[0024] When the user's blood pressure level is in the (green light) target zone, triggering a recommendation to maintain the medication level; and

[0025] When the user's blood pressure level is in the too low area (blue light), a suggestion to reduce the medication level is triggered.

[0026] In some embodiments, the recommendation module is further configured to, when the user's blood pressure level is in the (yellow light) elevated zone:

[0027] When the systolic blood pressure exceeds the first predetermined range but does not exceed the second predetermined range, and the diastolic blood pressure exceeds the third predetermined range but does not exceed the fourth predetermined range relative to the second threshold, a single-level recommendation to increase the medication level is triggered.

[0028] When the systolic blood pressure exceeds a second predetermined range relative to the first threshold or the diastolic blood pressure exceeds a fourth predetermined range relative to the second threshold, a recommendation for a dual-level increase in medication level is triggered; and

[0029] When the user's blood pressure level is in the too low area (blue light), a suggestion to reduce the medication level by one level is triggered.

[0030] In some embodiments, the data processing module is also configured to determine the user's trend blood pressure data based on the user's multiple blood pressure measurements and historical blood pressure data, wherein the trend blood pressure data includes at least one of the systolic blood pressure standard deviation, systolic blood pressure load, cumulative systolic blood pressure load, and systolic blood pressure target time ratio.

[0031] In these embodiments, the medication information processing system further includes: a frequency determination module configured to determine the measurement frequency of the physiological indicator based on the basic blood pressure data and the trend blood pressure data.

[0032] In a second aspect, an embodiment of the present invention provides a physiological index measurement frequency adjustment system, comprising:

[0033] an interface module configured to receive a plurality of physiological index measurements of a user, wherein the physiological index includes a blood pressure index, and the blood pressure index includes a systolic blood pressure (SBP) and a diastolic blood pressure (DBP);

[0034] a data processing module, configured to determine basic blood pressure data of the user according to a plurality of blood pressure measurements of the user, and to determine trend blood pressure data of the user according to the plurality of blood pressure measurements of the user and historical blood pressure data, wherein the basic blood pressure data of the user includes an average blood pressure value and / or a current blood pressure value, and the trend blood pressure data includes at least one of a systolic blood pressure standard deviation, a systolic blood pressure load, a cumulative systolic blood pressure load, and a systolic blood pressure target time ratio; and

[0035] The frequency determination module is configured to determine the measurement frequency of the physiological indicator based on the basic blood pressure data and the trend blood pressure data.

[0036] In some embodiments, the frequency determination module is further configured to set the measurement frequency of the physiological indicator according to the control state of the basic blood pressure data and the trend blood pressure data, wherein:

[0037] When the basic blood pressure data or the trend blood pressure data do not meet the predetermined standard, the measurement frequency is set to a short measurement interval,

[0038] When the basic blood pressure data or the trend blood pressure data both meet the predetermined criteria, the measurement frequency is set to a gradually extended measurement interval until a predetermined maximum measurement interval is reached.

[0039] In a third aspect, an embodiment of the present invention provides a robot, wherein the robot integrates the system according to the first and / or second aspect.

[0040] In a fourth aspect, an embodiment of the present invention provides an information feedback method based on physiological data, comprising:

[0041] Receive medication information of the user, the medication information including the name of the medication used by the user, the dosage of the medication, the medication time and the medication interval;

[0042] Receiving a plurality of physiological index measurements of a user, wherein the physiological index includes a blood pressure index, and the blood pressure index includes a systolic blood pressure (SBP) and a diastolic blood pressure (DBP);

[0043] determining basic blood pressure data of the user according to a plurality of blood pressure measurement values ​​of the user, wherein the basic blood pressure data of the user includes an average blood pressure value and / or a current blood pressure value;

[0044] Determining a blood pressure level of the user among a plurality of predetermined blood pressure levels based on the user's baseline blood pressure data, wherein each predetermined blood pressure level is associated with a medical intervention or a specific medication adjustment operation; and

[0045] Based on the determined blood pressure level of the user and the medication information of the user, a medication adjustment suggestion or a medical intervention suggestion is output for the user, wherein the medication adjustment plan includes at least one of increasing or decreasing the dosage, changing the medication, changing the medication time, and changing the medication interval.

[0046] In some embodiments, the physiological indicator includes a cardiac indicator of the user.

[0047] In these embodiments, outputting the user's medication adjustment suggestion or medical intervention suggestion based on the determined blood pressure level of the user and the user's medication information includes: outputting the user's medication adjustment suggestion or medical intervention suggestion based on the user's blood pressure level, the user's medication information and the user's heart index data, wherein the medication adjustment suggestion is also adjusted based on whether the user suffers from heart disease and / or the severity of the heart disease.

[0048] In some embodiments, the physiological indicator includes a cardiac indicator of the user, and the cardiac indicator measurement value includes a heart rate.

[0049] In these embodiments, outputting the user's medication adjustment suggestion or medical intervention suggestion based on the determined blood pressure level of the user and the user's medication information includes: outputting the user's medication adjustment suggestion or medical intervention suggestion based on the user's blood pressure level, the user's medication information and the user's heart rate data, wherein the medication adjustment suggestion is also adjusted based on the user's heart rate data.

[0050] In some embodiments, the plurality of predetermined blood pressure levels include a plurality of traffic light-style threshold areas, including a (red light) emergency area, a (yellow light) elevated area, a (green light) target area, and a (blue light) too low area, wherein:

[0051] The (red light) emergency zone is defined as systolic blood pressure exceeding the first threshold or diastolic blood pressure exceeding the second threshold,

[0052] (Yellow light) The elevated area is defined as the systolic blood pressure being within the first elevated range defined by the first threshold and the third threshold or the diastolic blood pressure being within the second elevated range defined by the second threshold and the fourth threshold,

[0053] (Green Light) The target zone is defined as the systolic blood pressure being within a first target range defined by the third and fifth thresholds and the diastolic blood pressure being within a second target range defined by the fourth and sixth thresholds, and

[0054] (Blue light) The too low area is defined as systolic blood pressure below the fifth threshold or diastolic blood pressure below the sixth threshold, the first threshold is greater than the third threshold, the third threshold is greater than the fifth threshold, the second threshold is greater than the fourth threshold, and the fourth threshold is greater than the sixth threshold.

[0055] In these embodiments, outputting a medication adjustment suggestion or a medical intervention suggestion for the user based on the determined blood pressure level of the user and the medication information of the user includes:

[0056] When the user's blood pressure level is in the (red light) emergency zone, triggering an immediate medical intervention recommendation;

[0057] When the user's blood pressure level is in the elevated zone (yellow light), a suggestion to increase the medication level is triggered, wherein there are multiple medication levels;

[0058] When the user's blood pressure level is in the (green light) target zone, triggering a recommendation to maintain the medication level; and

[0059] When the user's blood pressure level is in the too low area (blue light), a suggestion to reduce the medication level is triggered.

[0060] In some embodiments, when the blood pressure level of the user is in the (yellow light) elevated zone, triggering a suggestion to increase the medication level includes:

[0061] When the systolic blood pressure exceeds the first predetermined range but does not exceed the second predetermined range, and the diastolic blood pressure exceeds the third predetermined range but does not exceed the fourth predetermined range relative to the second threshold, a single-level recommendation to increase the medication level is triggered.

[0062] When the systolic blood pressure exceeds a second predetermined range relative to the first threshold or the diastolic blood pressure exceeds a fourth predetermined range relative to the second threshold, a recommendation for a dual-level increase in medication level is triggered.

[0063] In some embodiments, when the user's blood pressure level is in the too-low area (blue light), a suggestion to lower the medication level is triggered, including: when the user's blood pressure level is in the too-low area (blue light), a suggestion to lower the medication level by a single level is triggered.

[0064] In some embodiments, the information feedback method further includes:

[0065] Determine the trend blood pressure data of the user based on the multiple blood pressure measurements and historical blood pressure data of the user, wherein the trend blood pressure data includes a systolic blood pressure standard deviation;

[0066] The measurement frequency of the physiological indicator is determined based on the basic blood pressure data and the trend blood pressure data.

[0067] In a fifth aspect, an embodiment of the present invention provides a method for adjusting a physiological index measurement frequency, comprising:

[0068] Receiving a plurality of physiological index measurements of a user, wherein the physiological index includes a blood pressure index, and the blood pressure index includes a systolic blood pressure (SBP) and a diastolic blood pressure (DBP);

[0069] determining basic blood pressure data of the user according to a plurality of blood pressure measurement values ​​of the user, wherein the basic blood pressure data of the user includes an average blood pressure value and / or a current blood pressure value;

[0070] Determine the trend blood pressure data of the user based on the multiple blood pressure measurements and historical blood pressure data of the user, wherein the trend blood pressure data includes a systolic blood pressure standard deviation;

[0071] The measurement frequency of the physiological index is determined based on the basic blood pressure data and the trend blood pressure data.

[0072] In some embodiments, determining the trend blood pressure data of the user based on the multiple blood pressure measurements and historical blood pressure data of the user comprises:

[0073] The measurement frequency of the physiological index is set according to the control status of the basic blood pressure data and the trend blood pressure data, wherein:

[0074] When the basic blood pressure data or the trend blood pressure data do not meet the predetermined standard, the measurement frequency is set to a short measurement interval,

[0075] When the basic blood pressure data or the trend blood pressure data both meet the predetermined criteria, the measurement frequency is set to a gradually extended measurement interval until a predetermined maximum measurement interval is reached.

[0076] In a sixth aspect, an embodiment of the present invention provides an electronic device, comprising: a processor and a memory storing a computer program, wherein the processor is configured to implement the method described in the fourth aspect and / or the fifth aspect when executing the computer program.

[0077] In a seventh aspect, an embodiment of the present invention provides a program product, comprising a computer program, wherein the computer program, when executed by a processor, implements the method described in the fourth aspect and / or the fifth aspect.

[0078] In an eighth aspect, an embodiment of the present invention provides a storage medium storing a computer program, wherein the computer program, when executed by a processor, implements the method described in the fourth aspect and / or the fifth aspect.

[0079] The information feedback system and method based on physiological data provided by the embodiments of the present invention can comprehensively analyze the patient's blood pressure data and medication information, and provide intelligent medication recommendations or medical intervention recommendations, which enables patients to obtain personalized medication adjustment recommendations in a timely manner, affecting the continuous improvement of treatment effects and ensuring an effective supervision and management mechanism for patient medication compliance.

[0080] The physiological index measurement frequency adjustment system and method provided by the embodiment of the present invention can adaptively adjust the measurement frequency of physiological indexes according to the real-time physiological index measurement values ​​of the patient and the trend index dynamically evaluated in combination with historical data, thereby realizing an intelligent strategy that balances monitoring frequency and data quality, thereby increasing the measurement frequency when blood pressure control is poor to ensure timely capture of abnormal data, and reducing the measurement frequency after blood pressure control is stable to reduce the burden on users. In addition, the dynamic analysis of the trend of the index can ensure that the data is collected at the key time point that best reflects the control level.

[0081] Other optional features and technical effects of the embodiments of the present invention are partially described below, and partially can be understood by reading this document. BRIEF DESCRIPTION OF THE DRAWINGS

[0082] Hereinafter, embodiments of the present invention will be described in detail with reference to the accompanying drawings. The elements shown are not limited to the proportions shown in the accompanying drawings. The same or similar reference numerals in the accompanying drawings represent the same or similar elements, wherein:

[0083] Figure 1 is a module diagram of an information feedback system based on physiological data according to an embodiment of the present invention;

[0084] Figure 2 is a module diagram of a physiological index measurement frequency adjustment system according to an embodiment of the present invention;

[0085] Figure 3 A schematic module diagram of a traffic light type blood pressure adjustment model applicable to an embodiment of the present invention is shown;

[0086] Figure 4 Schematically illustrates an intelligent robot and a related segment cloud service distributed system integrated with a system according to an embodiment of the present invention;

[0087] Figure 5 is a flow chart of an information feedback method based on physiological data according to an embodiment of the present invention;

[0088] Figure 6 is a flow chart of a method for adjusting a physiological index measurement frequency according to an embodiment of the present invention;

[0089] Figure 7 An exemplary structural diagram of an electronic device capable of implementing the method according to an embodiment of the present invention is shown. DETAILED DESCRIPTION

[0090] In order to make the purpose, technical solution and advantages of the present invention more clearly understood, the present invention is further described in detail below in conjunction with specific implementation methods and drawings. Here, the exemplary implementation methods of the present invention and their descriptions are used to explain the present invention, but are not intended to limit the present invention.

[0091] system

[0092] exist Figure 1 In the embodiment shown, a physiological data-based information feedback system 100 is provided. The information feedback system monitors and manages the blood pressure and medication status of users (especially patients with cardiovascular diseases) through a dynamic physiological data (such as blood pressure or blood pressure + heart rate) adjustment model, effectively solving the technical problems of the prior art such as lack of effective guidance for home blood pressure measurement, non-standard blood pressure data collection, and conservative medication adjustment. Figure 1 As shown, the information feedback system 100 may include a first interface module 110, a second interface module 120, a data processing module 130, a determination module 140, and a recommendation module 150. Through the collaborative work of these functional modules, the system can collect and analyze the user's medication information and physiological index data, and provide personalized medication adjustment suggestions or medical intervention suggestions based on the analysis results.

[0093] exist Figure 2 In the illustrated embodiment, a physiological index measurement frequency adjustment system 200 is provided. The physiological index (e.g., blood pressure or blood pressure + heart rate) measurement frequency adjustment system performs a composite analysis on the user's physiological index (e.g., blood pressure or blood pressure + heart rate) measurement data and historical data, and provides suggestions for adaptively adjusting the physiological index measurement frequency. Figure 2 As shown, the physiological index measurement frequency adjustment system 200 includes an interface module 210 , a data processing module 220 and a frequency determination module 230 .

[0094] It should be understood that the information feedback system 100 based on physiological data and the physiological index measurement frequency adjustment system 200 can be provided separately, can be operated independently, or can be integrated into the same device (such as the intelligent robot described below) to work together. In addition, one system can integrate the features of another system as preferred or optional features to obtain a new embodiment, and vice versa. For example, the information feedback system 100 can selectively integrate the features and functions of the physiological index measurement frequency adjustment system 200. For example, similar to Figure 2The data processing module 220 shown in FIG. 1 and the data processing module 130 of the information feedback system 100 can determine the basic blood pressure data of the user according to the multiple blood pressure measurement values ​​of the user and determine the trend blood pressure data of the user according to the multiple blood pressure measurement values ​​of the user and the historical blood pressure data. The information feedback system 100 can also include a frequency determination module (e.g., reference Figure 2 The frequency determination module 230 shown in the figure can be configured to determine the frequency of physiological indicator measurement based on the user's basic blood pressure data and trend blood pressure data. For example, Figure 2 The structure of the interface module 210 of the physiological index measurement frequency adjustment system 200 shown can refer to or be similar to the second interface module 120 of the information feedback system 100 based on physiological data. In the following multiple specific embodiments, the information feedback system integrating these optional features will be taken as an example to describe its functional modules in detail, and the relevant features, modules, and functions of the physiological index measurement frequency adjustment system 200 can be referred to and will not be repeated, but those skilled in the art will understand that the present invention is not limited to this.

[0095] It should also be understood that in each system of the embodiments of the present invention, each functional module can be implemented in the form of a software program, firmware or hardware, or a combination thereof. In addition, these functional modules can be provided as an integrated module, or can be implemented as a plurality of independent functional submodules. The specific implementation and combination of each functional module are not limitations of the present invention, and can be flexibly adjusted according to actual needs.

[0096] The following will describe the functional modules of the information feedback system 100 based on physiological data.

[0097] First interface module

[0098] In some embodiments, the first interface module 110 may be configured to receive medication information of a user, and the medication information may include information such as the name of the medication used by the user, the dosage of the medication, the time of medication, and the interval of medication.

[0099] In the embodiment of the present invention, the first interface module 110 may include any suitable interface or present any suitable interface form.

[0100] In some preferred embodiments, the first interface module 110 is a touch screen interface unit and an intelligent consultation unit. In some optional embodiments, the first interface module 110 can also integrate a voice interaction function, support voice input and voice broadcast, and facilitate the use of elderly users or visually impaired users. The system can also adaptively adjust the interface layout and interaction mode according to the user's usage habits.

[0101] In a further embodiment, the intelligent consultation unit can adopt a conversational interaction mode. In some embodiments, the intelligent consultation unit may include a large language model (LLM) or an AI agent to achieve context-aware intelligent dialogue and dynamically adjust subsequent questions based on the user's previous answers. Optionally, 5-10 core question templates can be preset, which may involve basic medication information (including drug name, dosage, taking time, etc.) collection, adverse reactions (such as dizziness, palpitations, nausea, etc.) and medication effect evaluation. For example, the system can ask the user through the first interface module 110 about the type of antihypertensive drugs currently being taken, the usual time to take the medicine, whether there is a missed dose, whether there is discomfort after taking the medicine, and the blood pressure control after taking the medicine.

[0102] As an optional solution, an intuitive graphical user interface can be provided through a touch screen interface unit to support multiple information input methods. The user can select commonly used antihypertensive drugs through a drop-down menu, adjust the dosage through a slider, and select the medication time through a calendar / time interface. In some preferred embodiments, the first interface module 110 can also provide a drug image auxiliary recognition function to help users accurately select the drugs they are using.

[0103] In some embodiments, the intelligent consultation unit can perform real-time analysis based on the user's answers to identify possible medication risks. When it is found that the user is using drugs that may interact with each other at the same time, the system can prompt in time. The intelligent consultation unit can support users to describe medication in a colloquial manner based on a large language model (LLM) or an AI agent or using natural language processing technology. Optionally, the intelligent consultation unit can also have a basic medical knowledge graph and can understand common drug aliases and symptom descriptions.

[0104] Optionally, the first interface module 110 can structure the collected medication information and pass it to other functional modules of the system for subsequent analysis. Such information can serve as important basic data for the system to make personalized medication recommendations.

[0105] Second interface module

[0106] In some embodiments, the second interface module 120 may be configured to receive a plurality of physiological index measurement values ​​of the user from a physiological index measurement device, wherein the physiological index may include a blood pressure index, and the blood pressure index includes systolic blood pressure (SBP) and diastolic blood pressure (DBP). As described above, Figure 2The interface module 210 of the physiological index measurement frequency adjustment system 200 shown may refer to or be similar to the structure and function of the second interface module 120 of this embodiment, but the interface module 210 may have more, less or different functions as needed, and the present invention is not limited thereto.

[0107] It should be understood that the information feedback system based on physiological data and / or the physiological indicator measurement frequency adjustment system of the embodiments of the present invention may include or exclude a physiological indicator measurement device (such as a blood pressure measurement device or a blood pressure measurement device and a heart rate measurement device), and the present invention is not limited thereto.

[0108] In some embodiments, the information feedback system based on physiological data and / or the physiological index measurement frequency adjustment system may not include a physiological index measurement device, but may be implemented based on a computer. In these embodiments, the physiological index measurement device (such as a blood pressure measurement device or a blood pressure measurement device and a heart rate measurement device) may be provided by the intelligent robot described below. Alternatively, an external physiological index measurement device (such as a blood pressure measurement device or a blood pressure measurement device and a heart rate measurement device) is provided, as long as these devices can be connected to the second interface module 120 (or interface module 210) to transmit data. For example, the second interface module 120 can be configured to perform data docking with an external blood pressure measurement device, for example, to support data access of common home blood pressure measurement devices on the market.

[0109] In other embodiments, the information feedback system based on physiological data and / or the physiological index measurement frequency adjustment system may include a physiological index measurement device (such as a blood pressure measurement device or a blood pressure measurement device and a heart rate measurement device), and the physiological index measurement device (such as a blood pressure measurement device or a blood pressure measurement device and a heart rate measurement device) may be integrated into the system to form an integrated measurement system. The blood pressure measurement device may include components such as a blood pressure cuff, an air pump, a pressure sensor, and a signal processing circuit, and obtain the user's blood pressure data through a standard blood pressure measurement method.

[0110] In a preferred embodiment, the second interface module 120 can be configured to obtain multiple measurement values ​​for each measurement. Specifically, in some embodiments, the second interface module 120 can be configured to obtain three consecutive measurement values, wherein the user is instructed to rest for 3 minutes before the first measurement, rest for 1 minute after the first measurement to perform the second measurement, and rest for 1 minute after the second measurement to perform the third measurement. The second interface module 120 can be configured not to display the first measurement result to avoid possible measurement anxiety, and select the average value of the last two measurements as the final result. In other embodiments, the second interface module 120 can be configured to determine whether it is necessary to obtain the third measurement value based on the difference between the first two measurement results. For example, when the difference between the first two measurement values ​​received by the second interface module 120 exceeds a predetermined threshold value (such as 10 mmHg), it can be configured to obtain the third measurement value, and the average value of the second and third measurements is used as the final result. When the difference between the first two measurement values ​​received is within the predetermined threshold range, it can be configured to directly use the second measurement value as the final result.

[0111] The second interface module 120 can be configured to obtain measurement time information and pass the measurement data together with the time information to the data processing module for subsequent analysis. For example, in some preferred embodiments, the second interface module 120 can be configured to receive measurement data in the morning before taking the medicine, because the measurement results in this time period are usually the most valuable for reference, especially the continuous measurement data obtained in the fasting state before taking the medicine.

[0112] In some optional embodiments, the second interface module 120 can be configured to guide the user to perform standardized measurements through voice or image. For example, the system can prompt the user to select an appropriate cuff size, instruct the user to rest for 3 minutes on a chair with a backrest, keep both feet flat on the ground without crossing, and ensure that the measuring arm is placed on a support plane that is substantially at the same height as the heart.

[0113] In some embodiments, the second interface module 120 can also be configured to receive cardiac index data, such as heart rate (HR) data. For example, heart rate data can be obtained while measuring blood pressure; when an external blood pressure measurement device is used, the heart rate information provided by it can also be received. In addition, the second interface module 120 can also be configured to receive measurement values ​​of other physiological indicators, such as blood oxygen saturation, body temperature and other indicators, to provide the system with more comprehensive health status assessment information. Optionally, these measurement data can be transmitted and stored through a standardized interface protocol to ensure the integrity and security of the data.

[0114] Data processing module

[0115] In some embodiments, the data processing module 130 may be configured to determine the user's basic blood pressure data based on the user's multiple blood pressure measurements, wherein the basic blood pressure data may include an average blood pressure value and / or a current blood pressure value. Figure 2 The functions of the data processing module 220 shown may refer to the functions or features of the data processing module 130 of this embodiment, but the data processing module 220 may have different or more functions, and the present invention is not limited thereto.

[0116] In some embodiments, the data processing module 130 is configured to determine an average blood pressure value. Here, for example, multiple blood pressure measurements received by the second interface module 120, such as a single time point or multiple blood pressure measurements obtained on the same day (such as "today" or in some cases "yesterday" or the most recent blood pressure measurement obtained) can be processed. For example, multiple blood pressure values ​​measured at a single measurement time point can be averaged, especially the fasting measurement value before taking medicine in the morning can be averaged. Alternatively, the blood pressure values ​​at multiple measurement time points can be averaged, such as the fasting measurement value before taking medicine in the morning and the measurement value before going to bed at night.

[0117] In other embodiments, the data processing module 130 may be configured to determine a non-average current blood pressure value, for example, the most representative measurement value may be selected according to actual conditions. For example, the highest diastolic or systolic blood pressure among multiple blood pressure values ​​measured at a single measurement time point may be used as the current blood pressure value. Alternatively, the highest blood pressure value at multiple measurement time points may be selected as the current blood pressure value, for example, the highest blood pressure value within the last 24 hours. When there are multiple candidate values, the data processing module 130 may be configured to select the value that is most unfavorable for judging the user's blood pressure condition. As described above, the term "current" used in this article may refer to the current day ("today") or the most recent day (for example, "yesterday" or the most recent day at a measurement frequency determined according to measurement requirements, such as the measurement frequency determination system or method described below).

[0118] In some preferred embodiments, the data processing module 130 can simultaneously determine the average blood pressure value and the current blood pressure value, and can be configured to select appropriate data for subsequent blood pressure level determination and optional measurement frequency determination according to the specific scenario.

[0119] In an embodiment of the present invention, the data processing module 220 may also be configured to jointly determine the trend blood pressure data of the user based on multiple blood pressure measurements and historical blood pressure data of the user. Similarly, in a further optional embodiment, the data processing module 130 may also be configured to jointly determine the trend blood pressure data of the user based on multiple blood pressure measurements and historical blood pressure data of the user. Here, those skilled in the art will understand that although the data processing module is described in the form of a functional module as being able to obtain basic blood pressure data and trend blood pressure data, the data processing module may be an integrated module or a separate module for obtaining the above data, and the present invention is not limited thereto. In different embodiments, the historical blood pressure data may be of different types or from different sources, which all fall within the scope of the present invention. In some embodiments, the historical blood pressure data may include historical blood pressure measurement data stored in the system, which carries time information. In other embodiments, the historical blood pressure data may include data obtained from the cloud and / or a medical institution. In some embodiments, the historical blood pressure data may include blood pressure measurement data, as shown in the following example. In other embodiments, the historical blood pressure data may include historical trend blood pressure data, where the current trend blood pressure data may be calculated by combining the current blood pressure measurement value (or basic blood pressure data) with the historical trend blood pressure data. This all falls within the scope of the present invention.

[0120] In an embodiment of the present invention, the trend blood pressure data may include systolic blood pressure standard deviation (SBP SD).

[0121] In some embodiments, the data processing module 130 or the data processing module 220 may be configured to calculate a systolic blood pressure standard deviation (SBP SD). The systolic blood pressure standard deviation may be used to assess the fluctuation range of the user's blood pressure during the observation period, such as the recent fluctuation range of blood pressure. In some embodiments, the systolic blood pressure standard deviation may be calculated according to the following formula:

[0122]

[0123] Where x represents a single systolic blood pressure measurement value, μ represents the arithmetic mean of the systolic blood pressure measurement values, and n represents the number of measurements.

[0124] In the embodiment of the present invention, the data processing module 130 or the data processing module 220 can assist in judging the blood pressure control status of the user based on the calculation results of these trend blood pressure data. For example, when the systolic blood pressure reaching target time ratio reaches a predetermined threshold, and the systolic blood pressure load and the cumulative systolic blood pressure load are within a reasonable range, it can be indicated that the user's blood pressure control status is good. These trend indicators can be used in combination with basic blood pressure data and can be used as an important basis for adjusting the measurement frequency.

[0125] (Optional) Frequency Determination Module

[0126] As described above, in an embodiment of the present invention, the physiological indicator measurement frequency adjustment system 200 may further include a frequency determination module 230, which is configured to determine the measurement frequency of the physiological indicator based on the basic blood pressure data and the trend blood pressure data. In some optional embodiments, the information feedback system 100 based on physiological data may also include a frequency determination module (unidentified), which is configured to determine the measurement frequency of the physiological indicator based on the basic blood pressure data and the trend blood pressure data. Accordingly, the function of the frequency determination module (unidentified) of the information feedback system 100 based on physiological data can refer to the function or feature of the frequency determination module 230 of the physiological indicator measurement frequency adjustment system 200. However, it is conceivable that the frequency determination module 230 may have different or fewer or more functions, and the present invention is not limited thereto.

[0127] In a preferred embodiment, the frequency determination module 239 can dynamically adjust the frequency of blood pressure measurement according to the control state of the basic blood pressure data and the trend blood pressure data. Specifically, the control state can be determined based on the following parameters: whether the average blood pressure value in the basic blood pressure data meets the standard, and whether the trend blood pressure data meets the standard.

[0128] In some embodiments, the frequency determination module can be configured to set the measurement frequency to a short measurement interval when the basic blood pressure data or the trend blood pressure data do not meet the predetermined standard. For example, for newly diagnosed patients, patients in the early stages of treatment, or patients whose blood pressure has not yet reached the standard or is unstable, it can be set to measure 2-3 times a day in the morning and evening, with an interval of 1 minute, and continuously measure for 5-7 days before the visit. In other embodiments, if the blood pressure fluctuation is large (for example, the trend blood pressure data obtained by 3-4 consecutive blood pressure measurements shows that it does not meet the standard), a daily measurement frequency will also be adopted.

[0129] In other embodiments, when both the basic blood pressure data and the trend blood pressure data meet the predetermined criteria, the frequency determination module can be configured to gradually extend the measurement interval. In some embodiments, the trend blood pressure data can include short-term trend blood pressure data (e.g., SBP SD in the past month, week, or several weeks).

[0130] Through this dynamically adjusted measurement frequency mechanism, it is possible to maintain a reasonable measurement interval while ensuring the effectiveness of blood pressure monitoring, thereby improving patient compliance.

[0131] Judgment module and recommendation module

[0132] In some embodiments, the determination module 140 may be configured to determine the user's blood pressure level among a plurality of predetermined blood pressure levels based on the user's basic blood pressure data. Figure 3As shown, the present invention adopts a traffic light-style blood pressure level classification method to divide the blood pressure state into multiple threshold areas, including an emergency area (indicated by a red light), an elevated area (indicated by a yellow light), a target area (indicated by a green light), and an excessively low area (indicated by a blue light).

[0133] Specifically, the determination module 140 can define various areas based on the threshold range of systolic and diastolic pressure. The emergency area can be defined as an area where the systolic pressure exceeds the first threshold (such as 180mmHg) or the diastolic pressure exceeds the second threshold (such as 100mmHg). The elevated area can be defined as an area where the systolic pressure is within the first elevated range defined by the first threshold and the third threshold (such as 140mmHg), or the diastolic pressure is within the second elevated range defined by the second threshold and the fourth threshold (such as 90mmHg). The target area can be defined as an area where the systolic pressure is within the first target range defined by the third threshold and the fifth threshold (such as 110mmHg), and the diastolic pressure is within the second target range defined by the fourth threshold and the sixth threshold (such as 50mmHg). The too low area can be defined as an area where the systolic pressure is lower than the fifth threshold or the diastolic pressure is lower than the sixth threshold. In an embodiment of the present invention, when two different levels (areas) can be located according to the determination conditions, the higher level shall prevail.

[0134] In this embodiment, these thresholds have a magnitude relationship, that is, the first threshold is greater than the third threshold, the third threshold is greater than the fifth threshold, the second threshold is greater than the fourth threshold, and the fourth threshold is greater than the sixth threshold.

[0135] In some embodiments, when determining these thresholds, the determination module 140 may consider individual characteristics of the user, such as age, weight, medical history, etc. For elderly users or users with special diseases, these thresholds may be appropriately adjusted to achieve personalized blood pressure management.

[0136] In some embodiments, the recommendation module 150 may be configured to output corresponding medication adjustment suggestions or medical intervention suggestions based on the user's blood pressure level and medication information.

[0137] like Figure 3 As shown, the system can set different processing strategies according to the traffic light blood pressure level.

[0138] Specifically, when the user's blood pressure level is in the emergency zone, that is, when the user has a red light prompt, the recommendation module will be configured to trigger an immediate medical intervention recommendation. This situation indicates that the user's blood pressure is seriously out of control or has a significant adverse reaction. The system will issue an emergency alarm and prompt the user to seek medical attention immediately. In some embodiments, the system can also be configured to automatically notify the user's attending physician or emergency contact.

[0139] When the user's blood pressure level is in the elevated zone, i.e., when a yellow light appears, the recommendation module 150 will be configured to trigger a recommendation to increase the medication level. Figure 3 As shown, the present invention adopts a four-level medication grade system from T1 to T4. Among them, T1 can correspond to a scheme of using half-dose renin-angiotensin-aldosterone system inhibitor (RASi) combined with calcium ion antagonist (CCB). T2 can correspond to a scheme of using full-dose RASi combined with CCB. T3 can correspond to a triple scheme of using full-dose RASi, CCB and diuretics. T4 can correspond to a quadruple scheme of using full-dose RASi, CCB, diuretics and aldosterone receptor antagonists.

[0140] In the rising area, i.e. when the yellow light is on, the recommendation module 150 can configure different upgrade strategies according to the specific degree to which the blood pressure value deviates from the target range. For example, when the systolic blood pressure exceeds the first predetermined amplitude (such as 10 mmHg) relative to the target value but does not exceed the second predetermined amplitude (such as 20 mmHg), and the diastolic blood pressure exceeds the third predetermined amplitude (such as 5 mmHg) relative to the target value but does not exceed the fourth predetermined amplitude (such as 10 mmHg), the system will trigger a single-level recommendation to upgrade the medication level, such as upgrading from T1 to T2. When the systolic blood pressure exceeds the second predetermined amplitude relative to the target value or the diastolic blood pressure exceeds the fourth predetermined amplitude relative to the target value, the system will trigger a dual-level recommendation to upgrade the medication level, such as directly upgrading from T1 to T3.

[0141] When the user's blood pressure level is in the target area, that is, when a green light prompt appears, the recommendation module 150 can be configured to trigger a suggestion to maintain the current medication level. This indicates that the user's blood pressure is well controlled under the existing medication regimen and the existing treatment regimen should be maintained.

[0142] When the user's blood pressure level is in the too low area, that is, when a blue light prompt appears, the recommendation module 150 can configure a fixed single-level downgrade strategy.

[0143] In some embodiments, a multi-rule traffic light blood pressure adjustment model can also be set according to other physiological indicators or physical conditions (disease conditions) of the user, especially heart indicators (such as heart rate) or heart disease conditions (such as coronary heart disease or heart failure). For example, the first rule described above does not consider the heart condition but only the basic rule of blood pressure.

[0144] In some embodiments, for users with comorbid heart diseases, the recommendation module 150 may follow a second rule, for example, configured to jointly determine medication adjustment suggestions based on the user's blood pressure level, medication information, and heart index data. Under the second rule, the setting of the medication level in this case will be adjusted accordingly to better meet the special needs of patients with comorbidities.

[0145] For users with coronary heart disease or heart failure, the system can use different ways to define medication levels. Specifically, T1 can be defined as a regimen using half-dose RASi inhibitors, T2 can be defined as a regimen using standard-dose RASi inhibitors, T3 can be defined as a regimen using double-dose RASi inhibitors, and T4 can be defined as a regimen using double-dose RASi inhibitors combined with aldosterone receptor antagonists (MRA). This setting takes into account the special needs of patients with heart disease for RASi drugs.

[0146] In some embodiments involving heart rate indicators, the recommendation module may follow a third rule, for example, configured to jointly determine medication adjustment recommendations based on the user's blood pressure level, medication information, and heart rate data. When the user is in the red light area and the heart rate exceeds 100 beats / minute, the system will trigger an immediate medical advice. When the user is in the yellow light area and the heart rate is between 75 and 100 beats / minute, the system may recommend adding half a dose of beta blockers. When the user is in the green light area and the heart rate is between 55 and 75 beats / minute, the system will recommend maintaining the existing medication regimen. When the user is in the blue light area and the heart rate is less than 55 beats / minute, the system will recommend reducing half a dose of beta blockers.

[0147] Accordingly, the above-mentioned first, second and third rules may be executed in any suitable manner, for example, the first, second or third rule may be executed separately, or all or part of them may be selectively executed according to specific circumstances, which falls within the scope of the present invention.

[0148] For example, when the recommendation module makes medication adjustment recommendations under the third rule, it will comprehensively consider the type and severity of the user's heart disease. For different types of heart diseases, the system may need to adopt different medication adjustment strategies. For example, for patients with heart failure, the dose of beta-blockers may need to be adjusted more carefully to avoid further deterioration of heart function. At the same time, the system will also consider the use of other anti-heart disease drugs to ensure the coordination of the overall treatment plan.

[0149] Accordingly, the information feedback system 100 described in the embodiment of the present invention can realize a closed-loop medication management mechanism, which can achieve accurate control of blood pressure by dynamically adjusting the medication level. Specifically, the system not only pays attention to the adjustment direction of the medication level ( Figure 3 The upward arrow in the chart indicates an upgrade, and the downward arrow in the chart indicates a downgrade), and the effects of the adjustments will be continuously monitored.

[0150] In some embodiments, the information feedback system 100, especially the recommendation module 150, described in the embodiments of the present invention can be configured to output medication adjustment suggestions at fixed time intervals (e.g., every one to two weeks). These suggestions mainly include two aspects: one is the medication adjustment scheme for blood pressure, and the other is the drug titration scheme for heart rate.

[0151] In some embodiments, the recommendation module can also be configured to adjust the regimen according to the individual characteristics of the user. This personalized adjustment is mainly based on three aspects: first, clinical indicators, including target values ​​recommended by relevant international and domestic guidelines; second, individual characteristics of the user, such as age, weight, medical history, etc.; and finally, the actual use effect of the drug, including efficacy evaluation and side effect monitoring.

[0152] In some embodiments, the recommendation module can also be configured to provide lifestyle intervention suggestions. These suggestions may include reasonable exercise plans, dietary adjustment suggestions, work and rest schedules, etc. In particular, the system can dynamically adjust the output frequency of suggestions based on the user's blood pressure change trend and medication response characteristics. For users with unstable blood pressure control, it may be necessary to increase the output frequency of suggestions; for users with stable blood pressure control, the output interval of suggestions can be appropriately extended.

[0153] Robots and cloud services

[0154] In some embodiments, the present invention further provides a robot, which is, for example, an intelligent robot integrated with a large language model (LLM) or an AI agent. In an embodiment of the present invention, the robot may integrate the above-mentioned information feedback system based on physiological data and / or the physiological index measurement frequency adjustment system. Figure 4 As shown, the intelligent robot may include a measuring unit for measuring physiological indicators (such as a blood pressure measuring unit or a blood pressure measuring unit and a heart rate measuring unit), as well as a storage unit for data storage (if any) and a processing unit for data processing (if any).

[0155] In a preferred embodiment, the intelligent robot can be configured as a home blood pressure (or blood pressure / heart rate) measurement robot, including a measurement channel for the user's arm to extend into, and an inflatable tissue arranged around the channel. During the measurement process, the inflatable tissue can be inflated accordingly according to the thickness of the user's arm, so as to form a good fit with the arm. This design overcomes the limitation that the traditional cuff-type sphygmomanometer needs to select the appropriate cuff size, and improves the accuracy and convenience of the measurement. Optionally, the robot can also be configured to provide suitable support for the user's arm during the measurement process. This is because the degree of arm support can significantly affect the results of blood pressure measurement, and improper support may cause errors in the measured value. The standardized support provided by the robot can effectively reduce the measurement error caused by improper arm position.

[0156] It should be noted that the above-mentioned information feedback system based on physiological data and the physiological index measurement frequency adjustment system can be flexibly configured in the robot. These systems can be provided one by one, or they can be integrated into the robot to work together, or when integrating one system, the features of another system can be selectively integrated as a preferred or optional feature, thereby forming a new embodiment.

[0157] As mentioned above, in some embodiments, even if the information feedback system or the measurement frequency adjustment system itself does not include a physiological indicator measurement device, the necessary measurement function can be provided by the intelligent robot. In an alternative embodiment, the robot may not include or only include part of the measurement device, and accordingly, the robot may also include an interface configured to support data access of an external measurement device.

[0158] like Figure 4 As shown, the robot can be connected to medical institutions and databases through the network to achieve real-time transmission and analysis of data.

[0159] Accordingly, in some embodiments, Figure 4 As shown, the present invention also provides a cloud service system. The system includes an intelligent robot, a cloud database and a medical institution terminal. The intelligent robot is connected to the cloud database through a network, and the cloud database is connected to the terminal equipment of the medical institution, thereby forming a complete telemedicine service network.

[0160] In some embodiments, the intelligent robot can be configured to collect the user's physiological indicator data and upload the data to the cloud database in real time for storage and processing. The cloud database not only stores the user's measurement data, but also stores the user's historical data, medication records and other information. This cloud storage method allows data to be stored for a long time and can be authorized to access at any time.

[0161] In some embodiments, the cloud service system can be configured to analyze and process the uploaded data. For example, the user's blood pressure change trend can be analyzed based on the stored historical data, or the effect of medication can be evaluated. These analysis results can be transmitted to the terminal device of the medical institution in real time through the cloud platform.

[0162] In some embodiments, medical institutions can access the cloud database through terminal devices to obtain the user's measurement data and analysis results. This enables doctors to remotely monitor the user's health status and promptly identify potential health risks. At the same time, medical institutions or doctors in medical institutions can also send treatment suggestions or medication adjustment plans to users through the system.

[0163] In some embodiments, the cloud service system can be independent of the robot and integrated with the aforementioned information feedback system and physiological indicator measurement frequency adjustment system, which falls within the scope of the present invention.

[0164] method

[0165] In some embodiments of the present invention, Figure 5 As shown, a method for information feedback based on physiological data is also provided, which includes:

[0166] S710: Receive the user's medication information.

[0167] In some embodiments, the medication information includes the name of the medication used by the user, the medication dosage, the medication time and the medication interval;

[0168] S720: Receive multiple physiological index measurements of the user.

[0169] In some embodiments, the physiological index includes a blood pressure index, and the blood pressure index includes systolic blood pressure (SBP) and diastolic blood pressure (DBP);

[0170] S730: Determine basic blood pressure data of the user according to the multiple blood pressure measurement values ​​of the user.

[0171] In some embodiments, the user's basic blood pressure data includes an average blood pressure value and / or a current blood pressure value;

[0172] S740: Determine the user's blood pressure level among a plurality of predetermined blood pressure levels based on the user's basic blood pressure data.

[0173] In some embodiments, each predetermined blood pressure level is associated with a medical intervention or a specific medication adjustment procedure.

[0174] S750: Based on the determined blood pressure level of the user and the medication information of the user, output medication adjustment suggestions or medical intervention suggestions for the user.

[0175] In some embodiments, the medication adjustment plan includes at least one of increasing or decreasing the dosage, changing the medication, changing the medication time, and changing the medication interval.

[0176] Optionally, the physiological index includes a user's heart index.

[0177] In some embodiments, step S750 may include: outputting the user's medication adjustment suggestions or medical intervention suggestions based on the user's blood pressure level, the user's medication information and the user's heart index data, wherein the medication adjustment suggestions are also adjusted based on whether the user suffers from heart disease and / or the severity of the heart disease.

[0178] Optionally, the cardiac index measurement value includes heart rate,

[0179] In some embodiments, step S750 may include: outputting a medication adjustment suggestion or a medical intervention suggestion for the user based on the user's blood pressure level, the user's medication information and the user's heart rate data, wherein the medication adjustment suggestion is also adjusted based on the user's heart rate data.

[0180] In some embodiments, step S750 may include: the plurality of predetermined blood pressure levels include a plurality of traffic light-type threshold areas, including an emergency area represented by a red light, an elevated area represented by a yellow light, a target area represented by a green light, and an excessively low area represented by a blue light, wherein:

[0181] The emergency zone is defined as systolic blood pressure exceeding the first threshold or diastolic blood pressure exceeding the second threshold,

[0182] The elevated region is defined as the systolic pressure being within a first elevated range defined by the first threshold and the third threshold or the diastolic pressure being within a second elevated range defined by the second threshold and the fourth threshold,

[0183] The target zone is defined as the systolic blood pressure being within a first target range defined by the third threshold and the fifth threshold and the diastolic blood pressure being within a second target range defined by the fourth threshold and the sixth threshold, and

[0184] The too low area is defined as systolic blood pressure lower than the fifth threshold or diastolic blood pressure lower than the sixth threshold, the first threshold is greater than the third threshold, the third threshold is greater than the fifth threshold, the second threshold is greater than the fourth threshold, and the fourth threshold is greater than the sixth threshold.

[0185] In some embodiments, step S750 may include: when the user's blood pressure level is in the emergency zone, triggering a recommendation for immediate medical intervention; when the user's blood pressure level is in the elevated zone, triggering a recommendation to increase the medication level, where there are multiple medication levels; when the user's blood pressure level is in the target zone, triggering a recommendation to maintain the medication level; and when the user's blood pressure level is in the too low zone, triggering a recommendation to lower the medication level.

[0186] In some embodiments, when the user's blood pressure level is in an elevated zone, a recommendation to increase the medication level is triggered, including: when the systolic blood pressure exceeds a first predetermined range but does not exceed a second predetermined range and the diastolic blood pressure exceeds a third predetermined range but does not exceed a fourth predetermined range relative to the second threshold, a recommendation to increase the medication level in a single level is triggered; when the systolic blood pressure exceeds the second predetermined range relative to the first threshold or the diastolic blood pressure exceeds the fourth predetermined range relative to the second threshold, a recommendation to increase the medication level in a double level is triggered.

[0187] In some embodiments, when the user's blood pressure level is in an excessively low area, a suggestion to lower the medication level is triggered, including: when the user's blood pressure level is in an excessively low area, a suggestion to lower the medication level by a single level is triggered.

[0188] In some embodiments, the information feedback method may also include: determining the user's trend blood pressure data based on the user's multiple blood pressure measurement values ​​and historical blood pressure data, wherein the trend blood pressure data includes at least one of the systolic blood pressure standard deviation, systolic blood pressure load, cumulative systolic blood pressure load, and systolic blood pressure target time ratio; determining the measurement frequency of physiological indicators based on the basic blood pressure data and the trend blood pressure data.

[0189] In some embodiments of the present invention, Figure 6 As shown, a method for adjusting the frequency of physiological index measurement is also provided, which includes:

[0190] S810: Receive multiple physiological index measurement values ​​of the user.

[0191] In some embodiments, the physiological index includes a blood pressure index, and the blood pressure index includes systolic blood pressure (SBP) and diastolic blood pressure (DBP);

[0192] S820: Determine basic blood pressure data of the user according to the multiple blood pressure measurement values ​​of the user.

[0193] In some embodiments, the user's basic blood pressure data includes an average blood pressure value and / or a current blood pressure value;

[0194] S830: Determine the user's trend blood pressure data based on the user's multiple blood pressure measurement values ​​and historical blood pressure data.

[0195] In some embodiments, the trended blood pressure data includes systolic blood pressure standard deviation;

[0196] In some embodiments, S830 may include: setting a measurement frequency of a physiological indicator according to a control state of the basic blood pressure data and the trend blood pressure data, wherein:

[0197] When the basic blood pressure data or trend blood pressure data do not meet the predetermined standards, the measurement frequency is set to a short measurement interval.

[0198] When the basic blood pressure data or the trend blood pressure data meet the predetermined standards, the measurement frequency is set to a gradually extended measurement interval until a predetermined maximum measurement interval is reached.

[0199] S840: Determine the measurement frequency of the physiological index based on the basic blood pressure data and the trend blood pressure data.

[0200] In embodiments of the present invention, method features may be combined with apparatus to obtain new embodiments, and vice versa.

[0201] In some embodiments of the present invention, Figure 7 As shown, an electronic device is provided, which includes a processor and a memory storing a computer program, and the processor is configured to implement any method of the embodiments of the present invention when running the computer program.

[0202] Figure 7 A schematic diagram of an electronic device 900 that can be used to implement a method or implement an embodiment of the present invention is shown. In some embodiments, the number of electronic devices may be more or less than the number shown. In some embodiments, a single or multiple electronic devices may be used for implementation. In some embodiments, cloud or distributed electronic devices may also be used for implementation.

[0203] like Figure 7 As shown, the electronic device 900 includes a processor 901 and a memory 902. The processor is used to execute programs stored in the memory, and these programs can implement the methods, steps or functions described in the above embodiments when the computer executes them. The processor 901 may include various types of processors, such as a central processing unit (CPU), a graphics processing unit (GPU), a neural network processor (NPU), a digital signal processor (DSP), etc. The processor 901 and the memory 902 are interconnected via a bus 903. The bus 903 can also be connected to an input / output (I / O) interface, etc. The systems, devices, modules or units described in the above embodiments can be implemented by a computer or its associated components. The computer can be, for example, a mobile terminal, a smart phone, a personal computer, a laptop computer, a vehicle-mounted human-computer interaction device, a personal digital assistant, a media player, a navigation device, a game console, a tablet computer, a wearable device, a smart TV, an Internet of Things system, a smart home, an industrial computer, a server or a combination thereof.

[0204] Although not shown, in an embodiment of the present invention, a program product is provided, including a computer program, and when the computer program is executed by a processor, the method of any one of the embodiments of the present invention is implemented.

[0205] Although not shown, in an embodiment of the present invention, a storage medium is provided, the storage medium storing a computer program, the computer program being configured to implement any method of the embodiments of the present invention when executed.

[0206] Storage media in embodiments of the present invention include permanent and non-permanent, removable and non-removable items that can be used to store information by any method or technology. Examples of storage media include, but are not limited to, phase change memory (PRAM), static random access memory (SRAM), dynamic random access memory (DRAM), other types of random access memory (RAM), read-only memory (ROM), electrically erasable programmable read-only memory (EEPROM), flash memory or other memory technology, compact disk read-only memory (CD-ROM), digital versatile disk (DVD) or other optical storage, magnetic cassettes, magnetic tape magnetic disk storage or other magnetic storage devices or any other non-transmission medium that can be used to store information that can be accessed by a computing device.

[0207] The methods, programs, systems, devices, etc. of the embodiments of the present invention may be executed or implemented in a single or multiple networked computers, or may be practiced in a distributed computing environment. In the embodiments of this specification, in these distributed computing environments, tasks may be performed by remote processing devices connected via a communication network.

[0208] Those skilled in the art should understand that the embodiments of the present specification can be provided as methods, systems or computer program products. Therefore, those skilled in the art can imagine that the implementation of the functional modules / units or controllers and related method steps described in the above embodiments can be implemented in software, hardware or a combination of software / hardware.

[0209] Unless explicitly stated, the actions or steps of the methods, programs, and embodiments of the present invention do not have to be performed in a specific order and can still achieve the desired results. In some implementations, multitasking and parallel processing are also possible or may be advantageous.

[0210] In this article, multiple embodiments of the present invention are described, but for the sake of brevity, the description of each embodiment is not exhaustive, and the same or similar features or parts between the embodiments may be omitted. In this article, "one embodiment", "some embodiments", "examples", "specific examples", or "some examples" are meant to be applicable to at least one embodiment or example according to the present invention, but not all embodiments. The above terms do not necessarily mean to refer to the same embodiment or example. In the absence of contradiction, those skilled in the art can combine and combine the different embodiments or examples described in this specification and the features of the different embodiments or examples.

[0211] The exemplary systems and methods of the present invention have been specifically shown and described with reference to the above embodiments, which are merely examples of the best modes for implementing the present systems and methods. It will be appreciated by those skilled in the art that various changes may be made to the embodiments of the systems and methods described herein when implementing the present systems and / or methods without departing from the spirit and scope of the present invention as defined in the appended claims.

Claims

1. An information feedback system based on physiological data, characterized in that: include: The first interface module is configured to receive medication information of the user, wherein the medication information includes the name of the medication used by the user, the dosage of the medication, the medication time and the medication interval; A second interface module is configured to receive a plurality of physiological index measurement values ​​of a user, wherein the physiological index includes a blood pressure index, and the blood pressure index includes a systolic blood pressure (SBP) and a diastolic blood pressure (DBP); a data processing module, configured to determine basic blood pressure data of the user according to a plurality of blood pressure measurement values ​​of the user, wherein the basic blood pressure data of the user includes an average blood pressure value and / or a current blood pressure value; a determination module configured to determine the blood pressure level of the user among a plurality of predetermined blood pressure levels based on the basic blood pressure data of the user, wherein each predetermined blood pressure level is associated with a medical intervention or a specific medication adjustment operation; as well as The recommendation module is configured to output a medication adjustment suggestion or a medical intervention suggestion for the user based on the blood pressure level of the user and the medication information of the user, wherein the medication adjustment plan includes at least one of increasing or decreasing the dosage, changing the medication, changing the medication time and changing the medication interval.

2. The information feedback system according to claim 1, characterized in that: The physiological indicators include the user's heart indicators, and the recommendation module is further configured to output the user's medication adjustment suggestions or medical intervention suggestions based on the user's blood pressure level, the user's medication information and the user's heart indicator data, wherein the medication adjustment suggestions are also adjusted based on whether the user suffers from heart disease and / or the severity of the heart disease.

3. The information feedback system according to claim 1 or 2, characterized in that: The physiological indicators include the user's heart indicators, and the heart indicator measurement values ​​include heart rate. The recommendation module is further configured to output the user's medication adjustment suggestions or medical intervention suggestions based on the user's blood pressure level, the user's medication information and the user's heart rate data, wherein the medication adjustment suggestions are also adjusted based on the user's heart rate data.

4. The information feedback system according to claim 1, characterized in that: The plurality of predetermined blood pressure levels include a plurality of traffic light-type threshold areas, including a (red light) emergency area, a (yellow light) elevated area, a (green light) target area, and a (blue light) too low area, wherein: The (red light) emergency zone is defined as the systolic blood pressure exceeding the first threshold or the diastolic blood pressure exceeding the second threshold, the (yellow light) elevated zone is defined as the systolic blood pressure being within a first elevated range defined by the first threshold and the third threshold or the diastolic blood pressure being within a second elevated range defined by the second threshold and the fourth threshold, the (green light) target zone is defined as the systolic blood pressure being within a first target range defined by the third threshold and the fifth threshold and the diastolic blood pressure being within a second target range defined by the fourth threshold and the sixth threshold, and (Blue light) The too low area is defined as systolic blood pressure below the fifth threshold or diastolic blood pressure below the sixth threshold, the first threshold is greater than the third threshold, the third threshold is greater than the fifth threshold, the second threshold is greater than the fourth threshold, and the fourth threshold is greater than the sixth threshold; The recommendation module is further configured as follows: When the user's blood pressure level is in the (red light) emergency zone, triggering an immediate medical intervention recommendation; When the user's blood pressure level is in the elevated zone (yellow light), a suggestion to increase the medication level is triggered, wherein there are multiple medication levels; When the user's blood pressure level is in the (green light) target zone, triggering a recommendation to maintain the medication level; and When the user's blood pressure level is in the too low area (blue light), a suggestion to reduce the medication level is triggered.

5. The information feedback system according to claim 4, characterized in that: The recommendation module is further configured to, when the blood pressure level of the user is in the (yellow light) elevated zone: When the systolic blood pressure exceeds the first predetermined range but does not exceed the second predetermined range, and the diastolic blood pressure exceeds the third predetermined range but does not exceed the fourth predetermined range relative to the second threshold, a single-level recommendation to increase the medication level is triggered. When the systolic blood pressure exceeds a second predetermined range relative to the first threshold or the diastolic blood pressure exceeds a fourth predetermined range relative to the second threshold, a recommendation for a dual-level increase in medication level is triggered; and When the user's blood pressure level is in the too low area (blue light), a suggestion to reduce the medication level by one level is triggered.

6. The information feedback system according to claim 1, characterized in that: The data processing module is further configured to determine the trend blood pressure data of the user based on the multiple blood pressure measurements and historical blood pressure data of the user, wherein the trend blood pressure data includes at least one of systolic blood pressure standard deviation, systolic blood pressure load, cumulative systolic blood pressure load, and systolic blood pressure target time ratio; The medication information processing system further includes: a frequency determination module configured to determine the measurement frequency of the physiological indicator based on the basic blood pressure data and the trend blood pressure data.

7. A physiological index measurement frequency adjustment system, characterized in that: include: an interface module configured to receive a plurality of physiological index measurements of a user, wherein the physiological index includes a blood pressure index, and the blood pressure index includes a systolic blood pressure (SBP) and a diastolic blood pressure (DBP); a data processing module, configured to determine basic blood pressure data of the user according to a plurality of blood pressure measurements of the user, and to determine trend blood pressure data of the user according to the plurality of blood pressure measurements of the user and historical blood pressure data, wherein the basic blood pressure data of the user includes an average blood pressure value and / or a current blood pressure value, and the trend blood pressure data includes at least one of a systolic blood pressure standard deviation, a systolic blood pressure load, a cumulative systolic blood pressure load, and a systolic blood pressure target time ratio; as well as The frequency determination module is configured to determine the measurement frequency of the physiological indicator based on the basic blood pressure data and the trend blood pressure data.

8. The physiological index measurement frequency adjustment system according to claim 7, characterized in that: The frequency determination module is further configured to set the measurement frequency of the physiological index according to the control state of the basic blood pressure data and the trend blood pressure data, wherein: When the basic blood pressure data or the trend blood pressure data do not meet the predetermined standard, the measurement frequency is set to a short measurement interval, When the basic blood pressure data or the trend blood pressure data both meet the predetermined criteria, the measurement frequency is set to a gradually extended measurement interval until a predetermined maximum measurement interval is reached.

9. A robot, characterized in that: The robot integrates a system according to any one of claims 1 to 8.

10. An information feedback method based on physiological data, characterized in that: include: Receive medication information of the user, the medication information including the name of the medication used by the user, the dosage of the medication, the medication time and the medication interval; Receiving a plurality of physiological index measurements of a user, wherein the physiological index includes a blood pressure index, and the blood pressure index includes a systolic blood pressure (SBP) and a diastolic blood pressure (DBP); determining basic blood pressure data of the user according to a plurality of blood pressure measurement values ​​of the user, wherein the basic blood pressure data of the user includes an average blood pressure value and / or a current blood pressure value; Determining a blood pressure level of the user among a plurality of predetermined blood pressure levels based on the user's baseline blood pressure data, wherein each predetermined blood pressure level is associated with a medical intervention or a specific medication adjustment operation; and Based on the determined blood pressure level of the user and the medication information of the user, a medication adjustment suggestion or a medical intervention suggestion is output for the user, wherein the medication adjustment plan includes at least one of increasing or decreasing the dosage, changing the medication, changing the medication time, and changing the medication interval.

11. The information feedback method according to claim 10, characterized in that: The physiological index includes a heart index of the user, The outputting of the user's medication adjustment suggestion or medical intervention suggestion based on the determined blood pressure level of the user and the user's medication information includes: outputting the user's medication adjustment suggestion or medical intervention suggestion based on the user's blood pressure level, the user's medication information and the user's heart index data, wherein the medication adjustment suggestion is also adjusted based on whether the user suffers from heart disease and / or the severity of the heart disease.

12. The information feedback method according to claim 10 or 11, characterized in that: The physiological index includes the user's heart index, and the heart index measurement value includes heart rate, The method of outputting a medication adjustment suggestion or a medical intervention suggestion for the user based on the determined blood pressure level of the user and the medication information of the user comprises: outputting a medication adjustment suggestion or a medical intervention suggestion for the user based on the blood pressure level of the user, the medication information of the user and the heart rate data of the user, wherein the medication adjustment suggestion is also adjusted based on the heart rate data of the user.

13. The information feedback method according to claim 10, characterized in that: The plurality of predetermined blood pressure levels include a plurality of traffic light-type threshold areas, including a (red light) emergency area, a (yellow light) elevated area, a (green light) target area, and a (blue light) too low area, wherein: The (red light) emergency zone is defined as the systolic blood pressure exceeding the first threshold or the diastolic blood pressure exceeding the second threshold, the (yellow light) elevated zone is defined as the systolic blood pressure being within a first elevated range defined by the first threshold and the third threshold or the diastolic blood pressure being within a second elevated range defined by the second threshold and the fourth threshold, the (green light) target zone is defined as the systolic blood pressure being within a first target range defined by the third threshold and the fifth threshold and the diastolic blood pressure being within a second target range defined by the fourth threshold and the sixth threshold, and (Blue light) The too low area is defined as systolic blood pressure below the fifth threshold or diastolic blood pressure below the sixth threshold, the first threshold is greater than the third threshold, the third threshold is greater than the fifth threshold, the second threshold is greater than the fourth threshold, and the fourth threshold is greater than the sixth threshold; The outputting of a medication adjustment suggestion or a medical intervention suggestion for the user based on the determined blood pressure level of the user and the medication information of the user comprises: When the user's blood pressure level is in the (red light) emergency zone, triggering an immediate medical intervention recommendation; When the user's blood pressure level is in the elevated zone (yellow light), a suggestion to increase the medication level is triggered, wherein there are multiple medication levels; When the user's blood pressure level is in the (green light) target zone, triggering a recommendation to maintain the medication level; and When the user's blood pressure level is in the too low area (blue light), a suggestion to reduce the medication level is triggered.

14. The information feedback method according to claim 13, characterized in that: When the blood pressure level of the user is in the elevated area (yellow light), a suggestion to increase the medication level is triggered, including: When the systolic blood pressure exceeds the first predetermined range but does not exceed the second predetermined range, and the diastolic blood pressure exceeds the third predetermined range but does not exceed the fourth predetermined range relative to the second threshold, a single-level recommendation to increase the medication level is triggered. When the systolic blood pressure exceeds a second predetermined range relative to the first threshold or the diastolic blood pressure exceeds a fourth predetermined range relative to the second threshold, a recommendation for a dual-level increase in medication level is triggered; When the user's blood pressure level is in the too-low area (blue light), triggering the suggestion to lower the medication level includes: when the user's blood pressure level is in the too-low area (blue light), triggering the suggestion to lower the medication level by a single level.

15. The information feedback method according to claim 10, characterized in that: Also includes: Determine the trend blood pressure data of the user according to the multiple blood pressure measurement values ​​and historical blood pressure data of the user, wherein the trend blood pressure data includes at least one of systolic blood pressure standard deviation, systolic blood pressure load, cumulative systolic blood pressure load, and systolic blood pressure target time ratio; The measurement frequency of the physiological indicator is determined based on the basic blood pressure data and the trend blood pressure data.

16. A method for adjusting the frequency of physiological index measurement, characterized in that: include: Receiving a plurality of physiological index measurements of a user, wherein the physiological index includes a blood pressure index, and the blood pressure index includes a systolic blood pressure (SBP) and a diastolic blood pressure (DBP); determining basic blood pressure data of the user according to a plurality of blood pressure measurement values ​​of the user, wherein the basic blood pressure data of the user includes an average blood pressure value and / or a current blood pressure value; Determine the trend blood pressure data of the user based on the multiple blood pressure measurements and historical blood pressure data of the user, wherein the trend blood pressure data includes a systolic blood pressure standard deviation; The measurement frequency of the physiological index is determined based on the basic blood pressure data and the trend blood pressure data.

17. The method for adjusting the physiological index measurement frequency according to claim 16, characterized in that: The determining the trend blood pressure data of the user based on the multiple blood pressure measurement values ​​and historical blood pressure data of the user comprises: The measurement frequency of the physiological index is set according to the control status of the basic blood pressure data and the trend blood pressure data, wherein: When the basic blood pressure data or the trend blood pressure data do not meet the predetermined standard, the measurement frequency is set to a short measurement interval, When the basic blood pressure data or the trend blood pressure data both meet the predetermined criteria, the measurement frequency is set to a gradually extended measurement interval until a predetermined maximum measurement interval is reached.

18. An electronic device, characterized in that: include: A processor and a memory storing a computer program, wherein the processor is configured to implement the method according to any one of claims 10 to 17 when executing the computer program.

19. A program product, characterized in that The method comprises a computer program, wherein when the computer program is executed by a processor, the method according to any one of claims 10 to 17 is implemented.

Images