Health detection system and method

Abstract

The invention discloses a health detection system and method. The system comprises a server and health detection equipment, the health detection equipment comprises a control module, a communication module and a health detection module; the health detection module comprises a detection module used for obtaining health data; the comparison module is used for comparing the health data with a health standard and outputting a health result; the health standards at least comprise health judgment standards, and if the health data meet the health judgment standards, the health result is normal; if the health data does not meet the health judgment standard, the health result is abnormal; the health detection equipment transmits health data and / or health results to the server through the communication module; the server comprises a report generation module which is used for receiving the health data and / or the health result and generating a health report in combination with historical data of the health data and / or the health result; and the data storage module is used for storing the health data, the health result and the health report.

Description

Technical Field

[0001] This invention relates to the field of health monitoring technology, and in particular to a health monitoring system and method. Background Technology

[0002] To provide users with a better experience, home health monitoring devices are usually equipped with a test result analysis and interpretation system, which provides users with easy-to-understand health analysis and suggestions after each test.

[0003] However, during health monitoring, test results are easily affected by external factors such as diet, rest, and improper user operation. These factors can all cause the test data to deviate from the user's true health status. Directly pushing high-risk health analyses and suggestions to users based on a single test result is not only inaccurate but may also cause excessive tension and anxiety in users, negatively impacting the user experience. Summary of the Invention

[0004] The main objective of this invention is to provide a health monitoring system and method that aims to improve the accuracy and reliability of monitoring results by combining historical data to generate health reports, thereby providing users with more scientific and reasonable health guidance.

[0005] To achieve the above objectives, the present invention provides a first health monitoring system, which includes a server and health monitoring equipment; The health detection device includes a control module, a communication module, and a health detection module; The health detection module includes: The detection module is used to acquire health data; The comparison module is used to compare the health data with health standards and output a health result; the health standards include at least health judgment criteria. If the health data meets the health judgment criteria, the health result is normal; if the health data does not meet the health judgment criteria, the health result is abnormal. The health monitoring device transmits the health data and / or health results to the server through the communication module; The server includes: The report generation module is used to receive the health data and / or health results, and generate a health report by combining the health data and / or historical data of the health results; The data storage module is used to store the health data, the health results, and the health report.

[0006] The present invention also provides a second health monitoring system, which includes a server and health monitoring equipment; The health detection device includes a control module, a communication module, and a health detection module; The health detection module includes: The detection module is used to acquire health data; The health monitoring device transmits the health data to the server via the communication module; The server includes: The comparison module is used to receive the health data, compare it with the health standards, and output a health result; the health standards include at least health judgment criteria. If the health data meets the health judgment criteria, the health result is normal; if the health data does not meet the health judgment criteria, the health result is abnormal. The report generation module is used to receive the health results and generate a health report by combining the historical data of the health data. The data storage module is used to store the health data, the health results, and the health report.

[0007] Preferably, for the first or second type of health detection system, the health judgment criteria are divided according to at least one of a preset standard threshold, a preset standard range, and a preset judgment condition; the health criteria also include an abnormality judgment criteria, which include two or more different degrees of abnormality. The anomaly judgment criteria are divided based on at least one of the following: a preset anomaly threshold, a preset anomaly range, or a preset anomaly judgment condition.

[0008] Preferably, for the first or second type of health detection system, generating a health report by combining the health data and / or historical data of health results includes at least generating the health report based on the health data and / or historical data of health results within a preset time period or a preset number of tests; The health report shall include at least one of the following: health risk analysis, causes of health risks, and health management recommendations.

[0009] Preferably, if only one health result is abnormal within a preset time period or preset number of tests, the health risk analysis in the health report shall include at least one of the abnormal lifestyle habits analysis and the abnormal dietary habits analysis, the cause of health risk shall include at least one of the cause of lifestyle habits and the cause of dietary habits, and the health management recommendations shall include at least one of the health recommendations of lifestyle habits and the health recommendations of dietary habits. If at least two health results are abnormal within a preset time period or preset number of tests, the health risk analysis in the health report will include pathological abnormality analysis, the causes of health risks will include pathological causes, and the health management recommendations will include pathological health recommendations.

[0010] Preferably, if the degree of abnormality of the health result decreases or the health result changes from abnormal to normal within the preset time period or preset number of tests, the health management recommendations in the health report shall include at least one of the following: maintain the frequency of testing, maintain the lifestyle habits, and maintain the dietary habits. If the degree of abnormality in health results increases within a preset time period or preset number of tests, the health risk analysis in the health report will include pathological abnormality analysis, the causes of health risks will include pathological causes, and the health management recommendations will include pathological health recommendations.

[0011] Preferably, the health detection system of the first or second type further includes an identification module for identifying users. Each user has a corresponding account or device and is associated with corresponding personal information. The health data, the health results, and the health report are matched with the corresponding account or device based on the user identified by the identification module. The report generation module is also used to generate a health report based on the personal information and the historical health data / results of the corresponding account or device.

[0012] Preferably, the health monitoring system of the first or second type further includes a front end, which is communicatively connected to the server, and the server is communicatively connected to the health monitoring device; the front end is used to receive and forward the instruction to start the health monitoring function to the server, and also to receive and display health reports; the front end is also used to display or store the user account information corresponding to the health monitoring device and the health report corresponding to each user account; the front end is a display screen or a mobile terminal.

[0013] Preferably, for the first or second type of health monitoring system, the report generation module obtains the health data to be analyzed through data processing or based on analysis instructions; The server also includes a data interface for transmitting the health data to be analyzed and the corresponding collection time to the large model; and for receiving the first analysis data of health trends generated by the large model through data analysis.

[0014] Preferably, it also includes a front-end, which is communicatively connected to the server, and the server is communicatively connected to the health monitoring device; the analysis instructions are generated and issued by the front-end; The report generation module responds to the analysis command and obtains the health data to be analyzed through data processing or based on the analysis command; the health data to be analyzed consists of at least two sets of health data with different collection times or different detection types. The server is also used to transmit the first health trend analysis data to the front end.

[0015] Preferably, the front end further includes an input module, used to acquire user consultation information corresponding to the health data or the health data to be analyzed, and transmit the health data or the health data to be analyzed, as well as the corresponding user consultation information, to the large model; The large model, based on the health data or the health data to be analyzed, and the corresponding user consultation information, generates second health trend analysis data through data analysis and transmits it to the front end; The user consultation information includes one or more of the following: text-based question and answer data, descriptions of abnormal conditions, dietary data, and image data. The image data includes one or more of the following: face images, tongue images, excrement images, and mixed excrement images.

[0016] Preferably, for the first or second type of health detection system, the health detection device is a toilet; the control module is connected to the communication module and the health detection module respectively, and the control module is used to control the start and stop of the health detection module; The health detection module is also equipped with a collection unit for collecting excrement or a mixture of excrement; The health detection module is also equipped with a reaction component for reacting with excrement or a mixture of excrement in a characteristic manner, and obtaining the health data based on the characteristic reaction. The detection module obtains the health data by detecting the excrement or a mixture of excrement; And / or, the detection module acquires the health data by detecting the characteristic reactions of the reaction components.

[0017] Preferably, the toilet further includes a water seal emptying module for emptying the water seal; The empty water seal module is provided with a collection hole, through which the collection unit extends into the water seal of the toilet after the water seal is emptied, to collect the excrement or a mixture of excrement.

[0018] Preferably, the health detection module further includes a bioelectrical impedance analysis module and / or a physiological signal detection module; The bioelectrical impedance analysis module includes: An impedance measurement unit includes at least one pair of electrodes for contacting the surface of a human body and applying an excitation current through the electrodes; Impedance analysis unit is used to measure the voltage signal between electrodes and calculate the impedance value, and obtain human body composition data based on the impedance value; The physiological signal detection module includes: A photoelectric emitting unit is used to emit light signals of at least two different wavelengths toward human tissue; A photoelectric receiving unit is used to receive the light signal reflected by the human tissue and convert it into an electrical signal, and obtain hemodynamic parameter data based on the electrical signal; The detection module obtains the human body composition data from the bioelectrical impedance analysis module and / or the hemodynamic parameter data from the physiological signal detection module as the health data.

[0019] Corresponding to the first health detection system described above, the present invention provides a first health detection method, comprising the following steps: The server sends a command to activate the health monitoring function to the health monitoring device; The health detection device activates its health detection function, which includes at least acquiring health data; comparing the health data with health standards and outputting health results; the health standards include at least health judgment criteria, and if the health data meets the health judgment criteria, the health result is normal; if the health data does not meet the health judgment criteria, the health result is abnormal. The health monitoring device transmits the health data and / or health results to the server; The server receives and stores the health data and / or health results, and generates and stores a health report by combining the historical data of the health data and / or health results.

[0020] Corresponding to the second health detection system described above, the present invention provides a second health detection method, comprising the following steps: The server sends a command to activate the health monitoring function to the health monitoring device; The health monitoring device activates its health monitoring function, acquires health data, and transmits it to the server. The server compares the health data with health standards and outputs a health result; the health standards include at least health judgment criteria. If the health data meets the health judgment criteria, the health result is normal; if the health data does not meet the health judgment criteria, the health result is abnormal. The server generates a health report by combining the historical data of the health results, and stores the health data, the health results, and the health report.

[0021] Preferably, the first or second method further includes: The server receives and responds to the analysis instructions issued by the front end, and performs the following steps: The health data to be analyzed is obtained through data processing or based on the analysis instructions. The health data to be analyzed and the corresponding collection time are transmitted to the large model through the data interface; The system receives the first analysis data on health trends generated by the large model through data analysis via a data interface.

[0022] Compared with the prior art, the beneficial effects of the present invention are: 1. This invention acquires health data through health detection equipment and performs preliminary comparison and judgment to quickly obtain health results. The health data and / or health results are then transmitted to a server to further generate and store a health report. The server can generate reports by combining historical data, avoiding problems such as low accuracy and user anxiety caused by analyzing only a single test result.

[0023] 2. This invention achieves trend analysis based on multiple sets of data by coordinating the health monitoring toilet, server, and front-end, rather than relying solely on a single data point. This significantly improves the accuracy and reliability of health monitoring results, enabling a true reflection of the user's health status. Furthermore, by leveraging the logical thinking capabilities of a large model and a vast professional knowledge base to generate primary health trend analysis data, it effectively lowers the cognitive threshold for users. Attached Figure Description

[0024] The accompanying drawings, which are included to provide a further understanding of the invention and form part of this invention, illustrate exemplary embodiments of the invention and are used to explain the invention, but do not constitute an undue limitation of the invention. In the drawings: Figure 1 This is a framework diagram of the first embodiment of the health detection system of the present invention; Figure 2 A frame diagram of the front end of the first embodiment of the health detection system of the present invention; Figure 3 This is a framework diagram of the first embodiment of the health monitoring system of the present invention, including a data interface; Figure 4 This is a framework diagram of the first embodiment of the health monitoring system of the present invention, including the front end and the data interface; Figure 5 This is a frame diagram of the first embodiment of the health detection system of the present invention, including the emptying water seal module; Figure 6 This is a framework diagram of the first embodiment of the health detection system of the present invention, including a bioelectrical impedance analysis module and / or a physiological signal detection module; Figure 7 This is a simplified flowchart of the first embodiment of the health detection method of the present invention; Figure 8 This is a framework diagram of a second embodiment of the health monitoring system of the present invention; Figure 9 A frame diagram of the front end of the second embodiment of the health detection system of the present invention; Figure 10This is a framework diagram of the second embodiment of the health monitoring system of the present invention, including a data interface; Figure 11 This is a framework diagram of the second embodiment of the health monitoring system of the present invention, including the front end and the data interface; Figure 12 This is a frame diagram of a second embodiment of the health detection system of the present invention, including an empty water seal module; Figure 13 This is a framework diagram of a second embodiment of the health monitoring system of the present invention, including a bioelectrical impedance analysis module and / or a physiological signal detection module. Figure 14 This is a simplified flowchart of the second embodiment of the health detection method of the present invention. Detailed Implementation

[0025] To make the objectives, technical solutions, and advantages of the embodiments of the present invention clearer, the technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of the present invention, not all embodiments. It should be understood that the specific embodiments described herein are only used to explain the present invention and are not intended to limit the present invention. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention.

[0026] First embodiment (comparison module is set on health detection equipment): like Figure 1 As shown, a health monitoring system of the present invention includes a server and health monitoring equipment. The health monitoring equipment includes a control module, a communication module, and a health monitoring module. The health monitoring module includes: The detection module is used to acquire health data; The comparison module is used to compare health data with health standards and output health results. The health standards include at least health judgment criteria. If the health data meets the health judgment criteria, the health result is normal; if the health data does not meet the health judgment criteria, the health result is abnormal. The health monitoring equipment transmits health data and / or health results to the server via a communication module; The servers include: The report generation module is used to receive health data and / or health outcomes, and generate health reports by combining the health data and / or historical data of health outcomes. The data storage module is used to store health data, health outcomes, and health reports.

[0027] Preferably, the detection module acquires health data directly or indirectly. It is understood that the control module is used to coordinate the operation of the modules and units within the health detection device.

[0028] This invention acquires health data through health monitoring equipment and performs preliminary comparison and judgment to quickly obtain health results. The health data and / or health results are then transmitted to a server to further generate and store a health report. The server can generate reports by combining historical data, avoiding problems such as low accuracy and user anxiety caused by analyzing only a single test result.

[0029] It should be noted that health data includes at least one of the following: weight measurement data, blood oxygen measurement data, heart rate measurement data, blood pressure measurement data, urine measurement data, and stool measurement data.

[0030] Preferably, the health report should include at least one of the following: health risk analysis, causes of health risks, and health management recommendations.

[0031] In this embodiment, the health judgment criteria are divided according to at least one of the following: a preset standard threshold, a preset standard range, and a preset judgment condition.

[0032] Furthermore, when test results show abnormalities, it is crucial to pay close attention to the trend of changes in the severity of the abnormality. Providing unchanging health analyses and recommendations corresponding to high risk, regardless of whether the abnormality gradually worsens or improves, lacks specificity and personalization. This fails to meet users' needs for precise health management and hinders them from understanding their health status promptly and accurately and taking appropriate measures.

[0033] Therefore, furthermore, health standards also include abnormality judgment criteria, which include two or more different degrees of abnormality; The criteria for judging anomalies should be based on at least one of the following: a preset anomaly threshold, a preset anomaly range, or a preset anomaly judgment condition.

[0034] This invention classifies different degrees of abnormality, enabling a more accurate assessment of the specific circumstances of any detected health abnormalities. This facilitates the provision of more targeted and personalized health management recommendations, better meeting users' needs for precise health management. It also helps users understand their own health abnormalities and take timely and appropriate measures.

[0035] In this embodiment, generating a health report by combining health data and / or historical data of health results includes at least generating a health report based on historical data of health data and / or health results within a preset time period or a preset number of tests.

[0036] This invention generates health reports based on historical data within a preset time period or a preset number of tests, enabling a more systematic and comprehensive analysis of users' health trends. This makes the health reports more valuable and accurate, avoids the impact of single test result deviations caused by accidental factors on health assessment, and further improves the effectiveness and practicality of the health monitoring system.

[0037] For example, if only one health result is abnormal within a preset time period or a preset number of tests, the health risk analysis in the health report should include at least one of the following: abnormal lifestyle habits analysis or abnormal dietary habits analysis. The causes of health risks should include at least one of the following: lifestyle habits reasons or dietary habits reasons. The health management recommendations should include at least one of the following: healthy lifestyle habits recommendations or healthy dietary habits recommendations. Preferably, the health report also suggests increasing the number of tests.

[0038] If at least two health results are abnormal within a preset time period or preset number of tests, the health risk analysis in the health report will include pathological abnormality analysis, the causes of health risks will include pathological causes, and the health management recommendations will include pathological health recommendations. Preferably, the health report will also suggest consulting a professional. It should be noted that "at least two abnormal health results" includes two consecutive abnormal health results in historical data or two abnormal health results from non-consecutive tests.

[0039] If, within the preset time period or preset number of tests, the degree of abnormality in the health results decreases, or the health results change from abnormal to normal, the health management recommendations in the health report shall include at least one of the following: maintain the frequency of testing, maintain the lifestyle habits, or maintain the dietary habits. If the degree of abnormality in health results increases within a preset time period or preset number of tests, the health report will include pathological abnormality analysis, pathological causes of health risks, and pathological health management recommendations. Preferably, the health report will also include an indication of the abnormal trend in health results, and a reminder to the user to pay attention to this trend.

[0040] It should be noted that the analysis of abnormal lifestyle habits, the analysis of abnormal dietary habits, the causes of abnormal lifestyle habits, the causes of abnormal dietary habits, health recommendations for abnormal lifestyle habits, health recommendations for abnormal dietary habits, the analysis of abnormal pathological factors, the causes of abnormal pathological factors, and health recommendations for abnormal pathological factors can all be achieved through existing health analysis methods.

[0041] In this embodiment, an identification module is also included to identify users. Each user has a corresponding account or device and is associated with corresponding personal information. Health data, health results, and health reports are matched with the corresponding account or device based on the user identified by the identification module. The report generation module is also used to generate a health report based on personal information and the historical health data / results of the corresponding account or device. Specifically, the identification module can be fingerprint recognition, or the user can select the corresponding account through operations in the mini-program.

[0042] like Figure 2 As shown, in Figure 1 Based on the structure shown, the system may further include: The front end communicates with the server, and the server communicates with the health monitoring device. The front end is used to receive and forward the instruction to start the health monitoring function to the server, and is also used to display health reports. The front end is also used to display or store the user account information corresponding to the health monitoring device and the health report corresponding to each user account. The front end can be a display screen or a mobile terminal.

[0043] Preferably, the front end communicates with the server and the health monitoring device via Wi-Fi or Bluetooth.

[0044] This invention allows users to easily receive and view health reports directly through a front-end, improving the convenience and timeliness of accessing health information and enhancing the user experience. Simultaneously, the front-end also displays or stores user account information corresponding to the health testing device and the health reports for each user account, better integrating system functions. This enables users to quickly and intuitively understand test results and health status after using the health testing device, further improving the overall system performance and user satisfaction.

[0045] exist Figure 1 Based on the structure shown, the report generation module obtains the health data to be analyzed through data processing or based on analysis instructions; such as Figure 3 As shown, the server also includes a data interface for transmitting the health data to be analyzed and the corresponding collection time to the large model; and for receiving the first analysis data of health trends generated by the large model through data analysis.

[0046] Furthermore, such as Figure 4 As shown, in Figure 3 Based on the structure shown, the system also includes a front end, which is also used to generate and issue analysis instructions; The report generation module responds to analysis commands and obtains the health data to be analyzed through data processing or based on the analysis commands. The server also includes a data interface for transmitting the health data to be analyzed and the corresponding collection time to the large model (which can be an existing large language model that performs data analysis on the health data to be analyzed based on its own database); and for receiving the first analysis data of health trends generated by the large model through data analysis.

[0047] It is important to emphasize that, to enhance data storage security, health data can be stored in the data storage module using a method similar to encryption. When the server transmits data to the large model, the health data retrieved from the data storage module must first be parsed before being transmitted to the large model. Specifically, homomorphic encryption technology can be used during data transmission, i.e., encryption and decryption are performed using operations such as addition, subtraction, multiplication, and division. Decryption of the stored health data uses a substitution encryption method, which utilizes different positions and values ​​in a lookup table to correspond to different meanings. For example, "0200" represents normal protein levels; this meaning (normal protein levels) is sent to the large model for analysis.

[0048] Preferably, the data to be analyzed consists of at least two sets of health data collected at different times or with different detection types; the server is also used to transmit the first analysis data of health trends to the front end.

[0049] This invention enables trend analysis based on multiple sets of data through the coordinated operation of a health monitoring toilet, server, and front-end, moving beyond reliance on single data points. This significantly improves the accuracy and reliability of health monitoring results, allowing for a more accurate reflection of the user's health status. Furthermore, by leveraging the logical thinking capabilities of a large model and a vast professional knowledge base to generate primary health trend analysis data, it effectively lowers the cognitive barrier for users.

[0050] In this embodiment, the first analysis data of health trends can also be presented in the form of a health report, including one of the following: health risk analysis, causes of health risks, and health management recommendations.

[0051] In this embodiment, the analysis instruction is either a first analysis instruction or a second analysis instruction; The first analysis instruction is generated in response to the user's first operation and is used to instruct the server to automatically acquire the health data to be analyzed. That is, the report generation module responds to the first analysis instruction and obtains at least two sets of health data to be analyzed with different collection times or different detection types through data processing. In this embodiment, the data processing includes at least the following steps: calling the health data in the data storage module and performing decryption and data integration processing to obtain at least two sets of health data to be analyzed with different collection times or different detection types. Preferably, the first operation includes a preset first analysis instruction trigger operation (such as clicking a specified area, entering specified content, etc., which can be preset according to actual needs); The second analysis instruction is generated in response to the user's second operation. The second operation includes a preset second analysis instruction trigger operation (such as clicking a specified area, entering specified content, etc., which can be preset according to actual needs) and selecting health data to be analyzed from the health data. The second analysis instruction is used to instruct the server to obtain the corresponding health data to be analyzed based on the second analysis instruction.

[0052] This invention employs two methods: a first analysis command and a second analysis command. The first analysis command automatically acquires the health data to be analyzed without requiring extensive user intervention, making it convenient and fast. The second analysis command, on the other hand, acquires the corresponding data to be analyzed based on the specific content selected by the user from the health data, giving the user autonomy and enabling more targeted and personalized analysis to meet the diverse needs of different users. This improves the flexibility and practicality of the entire system in the data acquisition and analysis process, and optimizes the user experience.

[0053] Preferably, the front end also includes an input module, which is used to obtain user consultation information corresponding to health data or health data to be analyzed, and transmit the health data or health data to be analyzed, as well as the corresponding user consultation information, to the large model; The large model, based on health data or health data to be analyzed, and corresponding user consultation information, generates second-level health trend analysis data through data analysis and transmits it to the front end. Preferably, the presentation format of the second-level health trend analysis data is similar to that of the first-level health trend analysis data, but the large model needs to combine the corresponding user consultation information when performing data analysis.

[0054] Preferably, the front end can, as needed, simultaneously instruct the server to obtain and transmit the corresponding user personal account information to the large model while transmitting health data or health data to be analyzed, as well as the corresponding user consultation information, so as to generate personalized health trend secondary analysis data.

[0055] This invention acquires user consultation information through an input module and transmits health data or health data to be analyzed, along with this user consultation information, to a large model. The large model integrates this information to generate secondary health trend analysis data. This process incorporates the user's subjective descriptions, making the analysis results more closely reflect the user's actual health condition. This improves the relevance and accuracy of health analysis, lowers the barrier for ordinary users to understand professional health data, and makes it easier for users to better understand their own health trends and potential risks.

[0056] In this embodiment, the user's consultation information includes one or more of the following: text-based question and answer data, descriptions of abnormal conditions, dietary data, and image data. The image data includes one or more of the following: facial images, tongue images, excrement images, and images of mixtures of excrement.

[0057] This invention enriches the dimensions of data collection on user health-related information through various forms of user consultation information. This allows the system to gain a more comprehensive understanding of users' lifestyle habits, abnormal physical manifestations, and other aspects. This comprehensive information provides a more substantial basis for more accurate and in-depth health analysis using large-scale models, helping to uncover potential health influencing factors and improving the quality and value of the entire health detection and analysis service. Simultaneously, visual information such as facial images, tongue coating images, excrement images, and images of excrement mixtures has certain reference value in fields such as traditional Chinese medicine diagnosis. It can assist doctors or the system in gaining a more comprehensive understanding of abnormalities on the user's body surface or in excrement, and can corroborate other health data, providing richer visual evidence for comprehensively judging the user's health status, further enhancing the capabilities and advantages of the entire health detection system in health detection and other aspects.

[0058] Preferably, the health monitoring device is a toilet; the control module is connected to the communication module and the health monitoring module respectively, and the control module is used to control the start and stop of the health monitoring module; The health monitoring module also includes a collection unit for collecting excrement or a mixture of excrement; The health monitoring module also includes a reaction component for reacting with excrement or a mixture of excrement to generate health data based on the reaction. The detection module acquires health data (e.g., fecal test data and / or urine test data) by detecting excrement or mixtures of excrement. And / or, the detection module acquires health data (e.g., fecal and / or urine test data) by detecting the characteristic reactions of the reaction components, including the composition and content of excrement (e.g., feces and / or urine). Fecal and / or urine test data represent two different types of health data.

[0059] Furthermore, the health detection module may also include a drive unit for driving the collection unit into the ceramic cavity of the toilet to collect excrement or a mixture of excrement; it also serves to drive the collection unit to a detection position after the collection unit has completed its collection, facilitating the detection of excrement or a mixture of excrement to obtain health data. In addition, the health detection module may also include a transmission channel for transmitting excrement or a mixture of excrement to the reaction component.

[0060] This invention, through the cooperation of the acquisition unit, reaction component, drive unit and transmission channel, enables the smooth acquisition, transmission and characteristic changes of excrement or its mixture for detection, further improving the integration and efficiency of acquisition and detection, ensuring the accuracy and effectiveness of the acquired excrement health data, and facilitating a more scientific analysis of the user's health status.

[0061] In this embodiment, urine detection can obtain urine detection data by directly collecting excrement or a mixture of excrement through the acquisition unit, while fecal detection can obtain fecal detection data by having the reaction component react with excrement or a mixture of excrement to produce a characteristic reaction.

[0062] The health monitoring device of the present invention is specifically a toilet, and is equipped with a collection unit and a reaction component. It can conveniently collect excrement-related data, and the reaction component can react with excrement or its mixture to obtain health data, providing users with more comprehensive health monitoring. It has high practicality and convenience in daily life, without requiring users to perform additional complicated testing operations, thus improving the compliance and popularity of health monitoring.

[0063] exist Figure 1 In the structure shown, the health monitoring device is preferably a toilet, such as... Figure 5 As shown, the health monitoring device (toilet) also includes a water seal emptying module for emptying the water seal; The empty water seal module is equipped with a collection hole, which allows the collection unit to extend into the toilet's water seal after the water seal is emptied, in order to collect excrement or a mixture of excrement.

[0064] This invention eliminates the water seal module during excrement collection, allowing the first collection unit to accurately insert into the water seal through the collection hole to collect samples. This avoids interference from the water seal during the collection process, enabling subsequent health data detected based on these samples to more accurately reflect the user's health status and improving the stability and accuracy of the entire excrement detection process.

[0065] Preferred, in Figure 1 Based on the structure shown, as Figure 6 As shown, the health monitoring module also includes a bioelectrical impedance analysis module and / or a physiological signal detection module. The monitoring module obtains human body composition data from the bioelectrical impedance analysis module and / or hemodynamic parameter data from the physiological signal detection module as health data.

[0066] Specifically, the bioelectrical impedance analysis module includes: An impedance measurement unit includes at least one pair of electrodes for contacting the surface of a human body and applying an excitation current through the electrodes; An impedance analysis unit is used to measure the voltage signal between electrodes and calculate the impedance value, based on which body composition data is obtained. Preferably, the body composition data is body fat percentage and / or body water percentage.

[0067] For example, at least one pair of electrodes from the bioelectrical impedance analysis module are embedded in an array on the upper surface of the seat of a smart toilet. When a user sits on the toilet, the skin on the back of their thighs forms stable contact with the electrodes. The impedance measurement unit applies a safe excitation current through these electrodes, and the impedance analysis unit calculates the human body impedance by measuring the voltage signal between the electrodes. This allows the user to deduce the proportion of non-conductive fat in the body and further analyze data such as body fat percentage and water percentage to obtain body composition data.

[0068] This invention utilizes a bioelectrical impedance analysis module to detect the composition and impedance characteristics of the human body, providing accurate data for assessing nutritional status and body composition. This enriches the detection functions and data types of health monitoring systems and enhances the system's ability to assess the overall health status of users.

[0069] The physiological signal detection module includes: A photoelectric emitting unit is used to emit light signals of at least two different wavelengths toward human tissue; A photoelectric receiving unit is used to receive light signals reflected from human tissue and convert them into electrical signals, and to obtain hemodynamic parameter data based on the electrical signals. Preferably, the hemodynamic parameter data includes one or more of the following: heart rate, blood oxygenation, electrocardiogram, and pulse oximetry.

[0070] For example, the photoelectric emitting unit and photoelectric receiving unit of the physiological signal detection module are symmetrically arranged on the inside of the handrails on both sides of the toilet. When the user naturally grips the handrails, the fingertips or palms just cover the optical sensors. The photoelectric emitting unit emits red and infrared light into the human tissue. The blood volume in the skin changes pulsatilely under the action of the heart. The photoelectric receiving unit receives the light signal reflected by the tissue and converts it into an electrical signal. After analysis, a pulse map and blood oxygen saturation can be obtained, and relevant health data such as heart rate and microcirculation can be calculated.

[0071] This invention, through a physiological signal detection module, can collect physiological signal data such as heart rate, blood oxygen, electrocardiogram, and pulse rate, enabling real-time monitoring of the human body's physiological state and timely capture of changes in the body's cardiovascular system and other aspects. This provides strong data support for the early detection of potential health problems and disease prevention, further improving the detection function of the health monitoring system and enabling it to better meet users' diverse needs for daily health monitoring.

[0072] It should be noted that the aforementioned body composition data and physiological signal data are two different types of health data. Similarly, body fat percentage and body water percentage within the body composition data are also two different types of health data; heart rate, blood oxygen saturation, electrocardiogram (ECG), and pulse rate within the physiological signal data are different types of health data.

[0073] In this embodiment, the comparison module is located on the health detection device. The detection module and the comparison module are connected. The health data obtained by the detection module is transmitted to the comparison module. After comparison by the comparison module, the health result is obtained. Then, the health result is uploaded to the server through the communication module.

[0074] like Figure 7 As shown, the present invention also provides a health detection method corresponding to the first embodiment described above, comprising the following steps: The server sends a command to activate the health monitoring function to the health monitoring device; When a health monitoring device activates its health monitoring function, it must at least acquire health data; compare the health data with health standards and output health results; the health standards must at least include health judgment criteria. If the health data meets the health judgment criteria, the health result is normal; if the health data does not meet the health judgment criteria, the health result is abnormal. Health monitoring equipment transmits health data and / or health results to a server; The server receives and stores health data and / or health outcomes, and generates and stores health reports by combining historical data of health data and / or health outcomes.

[0075] The health detection method of the present invention starts the health detection device by sending a command from the server. The health detection device acquires health data, compares and judges it, and then transmits it to the server. The server combines historical data to generate a health report and stores it, thereby realizing accurate assessment and continuous monitoring of the user's health status, providing users with better health management services, and solving the problem of low accuracy of detection results in the prior art.

[0076] Furthermore, the method also includes: The server receives and responds to the analysis commands issued by the front end, and performs the following steps: The health data to be analyzed is obtained through data processing or based on analysis instructions; The health data to be analyzed and the corresponding collection time are transmitted to the large model through the data interface; Receive first-level health trend analysis data generated by large models through data analysis via data interface.

[0077] Preferably, the data to be analyzed consists of at least two sets of health data collected at different times or with different detection types; when receiving the first analysis data of health trends generated by the large model through data analysis via the data interface, the first analysis data of health trends is also transmitted to the front end.

[0078] The second embodiment of the present invention (the comparison module is set on the server), as follows: Figure 8 As shown, the health monitoring system includes a server and health monitoring equipment; The health monitoring equipment includes a control module, a communication module, and a health monitoring module. The health monitoring module includes: The detection module is used to acquire health data; The health monitoring equipment transmits health data to the server via a communication module; The servers include: The comparison module receives health data, compares it with health standards, and outputs health results. The health standards include at least health judgment criteria. If the health data meets the health judgment criteria, the health result is normal; if the health data does not meet the health judgment criteria, the health result is abnormal. The report generation module is used to receive health results and generate health reports by combining historical health data. The data storage module is used to store health data, health outcomes, and health reports.

[0079] The second embodiment of the present invention differs from the first embodiment only in the location of the comparison module; other relevant details are the same as in the first embodiment. In the second embodiment, the detection module uploads the acquired health data to the server via the communication module. The comparison module on the server compares the data to obtain the health result and generates a health report by combining the historical data of the health data. The health data, health result, and health report are stored through the data storage module.

[0080] like Figure 9 As shown, in Figure 8 Based on the structure shown, the system may further include: The front end communicates with the server, and the server communicates with the health monitoring device. The front end is used to receive and forward the instruction to start the health monitoring function to the server, and is also used to display health reports. The front end is also used to display or store the user account information corresponding to the health monitoring device and the health report corresponding to each user account. The front end can be a display screen or a mobile terminal.

[0081] exist Figure 8 Based on the structure shown, the report generation module obtains the health data to be analyzed through data processing or based on analysis instructions; such as Figure 10 As shown, the server also includes a data interface for transmitting the health data to be analyzed and the corresponding collection time to the large model (which can be an existing large language model, which performs data analysis on the health data to be analyzed based on its own database); and for receiving the first analysis data of health trends generated by the large model through data analysis.

[0082] Furthermore, such as Figure 11 As shown, in Figure 9 Based on the structure shown, the system also includes a front end, which is also used to generate and issue analysis instructions; The report generation module responds to analysis commands and obtains the health data to be analyzed through data processing or based on the analysis commands. The server also includes a data interface for transmitting the health data to be analyzed and the corresponding collection time to the large model (which can be an existing large language model that performs data analysis on the health data to be analyzed based on its own database); and for receiving the first analysis data of health trends generated by the large model through data analysis.

[0083] In this embodiment, the health monitoring device is a toilet; the control module is connected to the communication module and the health monitoring module respectively, and the control module is used to control the start and stop of the health monitoring module; The health monitoring module also includes a collection unit for collecting excrement or a mixture of excrement; The health monitoring module also includes a reaction component for reacting with excrement or a mixture of excrement to generate health data based on the reaction. The detection module acquires health data (e.g., fecal test data and / or urine test data) by detecting excrement or mixtures of excrement. And / or, the detection module acquires health data (e.g., fecal and / or urine test data) by detecting the characteristic reactions of the reaction components, including the composition and content of excrement (e.g., feces and / or urine). Fecal and / or urine test data represent two different types of health data.

[0084] exist Figure 8 In the structure shown, the health monitoring device is preferably a toilet, such as... Figure 12 As shown, the health monitoring device (toilet) also includes a water seal emptying module for emptying the water seal. For details regarding the water seal emptying module, please refer to the first embodiment.

[0085] Preferred, in Figure 8 Based on the structure shown, as Figure 13 As shown, the health monitoring module also includes a bioelectrical impedance analysis module and / or a physiological signal detection module. The monitoring module acquires human body composition data from the bioelectrical impedance analysis module and / or physiological signal data from the physiological signal detection module as health data. For details regarding the bioelectrical impedance analysis module and the physiological signal detection module, please refer to the first embodiment.

[0086] like Figure 14 As shown, the present invention also provides a health detection method corresponding to the second embodiment described above, comprising the following steps: The server sends a command to activate the health monitoring function to the health monitoring device; The health monitoring device activates its health monitoring function, acquires health data, and transmits it to the server. The server compares the health data with the health standards and outputs the health result. The health standards include at least the health judgment criteria. If the health data meets the health judgment criteria, the health result is normal; if the health data does not meet the health judgment criteria, the health result is abnormal. The server combines historical health data to generate health reports and stores health data, health results, and health reports.

[0087] Furthermore, the method also includes: The server receives and responds to the analysis commands issued by the front end, and performs the following steps: The health data to be analyzed is obtained through data processing or based on analysis instructions; The health data to be analyzed and the corresponding collection time are transmitted to the large model through the data interface; Receive first-level health trend analysis data generated by large models through data analysis via data interface.

[0088] Preferably, the data to be analyzed consists of at least two sets of health data collected at different times or with different detection types; when receiving the first analysis data of health trends generated by the large model through data analysis via the data interface, the first analysis data of health trends is also transmitted to the front end; It should be noted that the various embodiments in this specification are described in a progressive manner, and the same or similar parts between the various embodiments can be referred to mutually. As for the method embodiments and storage medium embodiments, since they are basically similar to the system embodiments, the descriptions are relatively simple, and the relevant parts can be referred to the descriptions of the system embodiments.

[0089] Furthermore, in this document, the terms "comprising," "including," or any other variations thereof are intended to cover non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements includes not only those elements but also other elements not expressly listed, or elements inherent to such a process, method, article, or apparatus. Without further limitation, an element defined by the phrase "comprising one..." does not exclude the presence of other identical elements in the process, method, article, or apparatus that includes said element.

[0090] The foregoing description illustrates and describes preferred embodiments of the present invention. It should be understood that the present invention is not limited to the forms disclosed herein and should not be construed as excluding other embodiments. It can be used in various other combinations, modifications, and environments, and can be altered within the scope of the inventive concept by means of the foregoing teachings or techniques or knowledge in related fields. Any modifications and variations made by those skilled in the art that do not depart from the spirit and scope of the present invention should be within the protection scope of the appended claims.

Claims

1. A health monitoring system, characterized in that, Includes servers and health monitoring equipment; The health detection device includes a control module, a communication module, and a health detection module; The health detection module includes: The detection module is used to acquire health data; The comparison module is used to compare the health data with health standards and output a health result; the health standards include at least health judgment criteria. If the health data meets the health judgment criteria, the health result is normal; if the health data does not meet the health judgment criteria, the health result is abnormal. The health monitoring device transmits the health data and / or health results to the server through the communication module; The server includes: The report generation module is used to receive the health data and / or health results, and generate a health report by combining the health data and / or historical data of the health results; The data storage module is used to store the health data, the health results, and the health report.

2. A health monitoring system, characterized in that, Includes servers and health monitoring equipment; The health detection device includes a control module, a communication module, and a health detection module; The health detection module includes: The detection module is used to acquire health data; The health monitoring device transmits the health data to the server via the communication module; The server includes: The comparison module is used to receive the health data, compare it with the health standards, and output a health result; the health standards include at least health judgment criteria. If the health data meets the health judgment criteria, the health result is normal; if the health data does not meet the health judgment criteria, the health result is abnormal. The report generation module is used to receive the health results and generate a health report by combining the historical data of the health data. The data storage module is used to store the health data, the health results, and the health report.

3. The health monitoring system according to claim 1 or 2, characterized in that, The health judgment criteria are divided according to at least one of the following: preset standard threshold, preset standard range, and preset judgment conditions; The health standards also include abnormality judgment standards, which include two or more different degrees of abnormality. The anomaly judgment criteria are divided based on at least one of the following: a preset anomaly threshold, a preset anomaly range, or a preset anomaly judgment condition.

4. The health monitoring system according to claim 1 or 2, characterized in that, Generate a health report by combining the health data and / or historical data of health results, including at least generating the health report based on the health data and / or historical data of health results within a preset time period or a preset number of tests; The health report shall include at least one of the following: health risk analysis, causes of health risks, and health management recommendations.

5. The health monitoring system according to claim 4, characterized in that, If there is only one abnormal health result within the preset time period or preset number of tests, the health risk analysis in the health report shall include at least one of the abnormal lifestyle habits analysis and the abnormal dietary habits analysis; the cause of health risk shall include at least one of the cause of lifestyle habits and the cause of dietary habits; and the health management recommendations shall include at least one of the health recommendations of lifestyle habits and the health recommendations of dietary habits. If at least two health results are abnormal within a preset time period or preset number of tests, the health risk analysis in the health report will include pathological abnormality analysis, the causes of health risks will include pathological causes, and the health management recommendations will include pathological health recommendations.

6. The health monitoring system according to claim 4, characterized in that, If, within the preset time period or preset number of tests, the degree of abnormality in the health results decreases, or the health results change from abnormal to normal, the health management recommendations in the health report shall include at least one of the following: maintain the frequency of testing, maintain the lifestyle habits, or maintain the dietary habits. If the degree of abnormality in health results increases within a preset time period or preset number of tests, the health risk analysis in the health report will include pathological abnormality analysis, the causes of health risks will include pathological causes, and the health management recommendations will include pathological health recommendations.

7. The health monitoring system according to claim 1 or 2, characterized in that, It also includes an identification module for identifying users. Each user has a corresponding account or device and is associated with corresponding personal information. The health data, the health results, and the health report are matched to the corresponding account or device based on the user identified by the identification module. The report generation module is also used to generate a health report based on personal information and the historical health data / results of the corresponding account or device.

8. The health monitoring system according to claim 1 or 2, characterized in that, It also includes a front-end, which is communicatively connected to the server, and the server is communicatively connected to the health monitoring device; the front-end is used to receive and forward the instruction to start the health monitoring function to the server, and also to receive and display health reports; the front-end is also used to display or store the user account information corresponding to the health monitoring device and the health report corresponding to each user account; the front-end is a display screen or a mobile terminal.

9. The health monitoring system according to claim 1 or 2, characterized in that, The report generation module obtains the health data to be analyzed through data processing or based on analysis instructions. The server also includes a data interface for transmitting the health data to be analyzed and the corresponding collection time to the large model; and for receiving the first analysis data of health trends generated by the large model through data analysis.

10. The health monitoring system according to claim 9, characterized in that, It also includes a front-end, which is communicatively connected to the server, and the server is communicatively connected to the health monitoring device; the analysis instructions are generated and issued by the front-end; The report generation module responds to the analysis command and obtains the health data to be analyzed through data processing or based on the analysis command; the health data to be analyzed consists of at least two sets of health data with different collection times or different detection types. The server is also used to transmit the first health trend analysis data to the front end.

11. The health monitoring system according to claim 10, characterized in that, The front end also includes an input module, used to acquire user consultation information corresponding to the health data or the health data to be analyzed, and transmit the health data or the health data to be analyzed, as well as the corresponding user consultation information, to the large model; The large model, based on the health data or the health data to be analyzed, and the corresponding user consultation information, generates second health trend analysis data through data analysis and transmits it to the front end; The user consultation information includes one or more of the following: text-based question and answer data, descriptions of abnormal conditions, dietary data, and image data. The image data includes one or more of the following: face images, tongue images, excrement images, and mixed excrement images.

12. The health monitoring system according to claim 1 or 2, characterized in that, The health monitoring device is a toilet; the control module is connected to the communication module and the health monitoring module respectively, and the control module is used to control the start and stop of the health monitoring module; The health detection module is also equipped with a collection unit for collecting excrement or a mixture of excrement; The health detection module is also equipped with a reaction component for reacting with excrement or a mixture of excrement in a characteristic manner, and obtaining the health data based on the characteristic reaction. The detection module obtains the health data by detecting the excrement or a mixture of excrement; And / or, the detection module acquires the health data by detecting the characteristic reactions of the reaction components.

13. The health monitoring system according to claim 12, characterized in that, The toilet also includes a water seal emptying module for emptying the water seal; The empty water seal module is provided with a collection hole, through which the collection unit extends into the water seal of the toilet after the water seal is emptied, to collect the excrement or a mixture of excrement.

14. The health monitoring system according to claim 12, characterized in that, The health detection module also includes a bioelectrical impedance analysis module and / or a physiological signal detection module; The bioelectrical impedance analysis module includes: An impedance measurement unit includes at least one pair of electrodes for contacting the surface of a human body and applying an excitation current through the electrodes; Impedance analysis unit is used to measure the voltage signal between electrodes and calculate the impedance value, and obtain human body composition data based on the impedance value; The physiological signal detection module includes: A photoelectric emitting unit is used to emit light signals of at least two different wavelengths toward human tissue; A photoelectric receiving unit is used to receive the light signal reflected by the human tissue and convert it into an electrical signal, and obtain hemodynamic parameter data based on the electrical signal; The detection module obtains the human body composition data from the bioelectrical impedance analysis module and / or the hemodynamic parameter data from the physiological signal detection module as the health data.

15. A health detection method, characterized in that, Includes the following steps: The server sends a command to activate the health monitoring function to the health monitoring device; The health monitoring device activates its health monitoring function, which includes at least acquiring health data; comparing the health data with health standards; and outputting health results. The health standard includes at least a health judgment standard. If the health data meets the health judgment standard, then the health result is normal. If the health data does not meet the health judgment criteria, the health result is abnormal; The health monitoring device transmits the health data and / or health results to the server; The server receives and stores the health data and / or health results, and generates and stores a health report by combining the historical data of the health data and / or health results.

16. A health detection method, characterized in that, Includes the following steps: The server sends a command to activate the health monitoring function to the health monitoring device; The health monitoring device activates its health monitoring function, acquires health data, and transmits it to the server. The server compares the health data with health standards and outputs the health result; The health standard includes at least a health judgment standard. If the health data meets the health judgment standard, then the health result is normal. If the health data does not meet the health judgment criteria, the health result is abnormal; The server generates a health report by combining the historical data of the health results, and stores the health data, the health results, and the health report.

17. The health detection method according to claim 15 or 16, characterized in that, Also includes: The server receives and responds to the analysis instructions issued by the front end, and performs the following steps: The health data to be analyzed is obtained through data processing or based on the analysis instructions. The health data to be analyzed and the corresponding collection time are transmitted to the large model through the data interface; The system receives the first analysis data on health trends generated by the large model through data analysis via a data interface.

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