WO2019206043A1 - 信息处理方法及系统 - Google Patents
信息处理方法及系统 Download PDFInfo
- Publication number
- WO2019206043A1 WO2019206043A1 PCT/CN2019/083475 CN2019083475W WO2019206043A1 WO 2019206043 A1 WO2019206043 A1 WO 2019206043A1 CN 2019083475 W CN2019083475 W CN 2019083475W WO 2019206043 A1 WO2019206043 A1 WO 2019206043A1
- Authority
- WO
- WIPO (PCT)
- Prior art keywords
- user
- analysis data
- information
- data
- comparison result
- Prior art date
Links
Images
Classifications
-
- G—PHYSICS
- G16—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
- G16H—HEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA
- G16H50/00—ICT specially adapted for medical diagnosis, medical simulation or medical data mining; ICT specially adapted for detecting, monitoring or modelling epidemics or pandemics
- G16H50/30—ICT specially adapted for medical diagnosis, medical simulation or medical data mining; ICT specially adapted for detecting, monitoring or modelling epidemics or pandemics for calculating health indices; for individual health risk assessment
Definitions
- the present disclosure relates to the field of information processing technologies, and in particular, to an information processing method and system.
- information processing for physiological detection data is limited to detection and display of physiological data of users, and it is difficult to meet people's requirements.
- An embodiment of the present disclosure provides an information processing method, including:
- the first push information related to the comparison result is generated and pushed to at least one of the first user and the second user.
- the method further includes:
- the second user is determined based on the operation record of the first user.
- the first condition comprises a first threshold condition.
- the method further includes:
- the embodiment of the present disclosure further provides an information processing system, including at least one server, where the server includes:
- a processor configured to execute the computer program code to:
- the processor is further configured to execute the computer program code to: generate second push information related to the first analysis data and push to the first user.
- the processor is further configured to execute the computer program code to: determine the second user based on an operation record of the first user.
- the processor is further configured to execute the computer program code to: determine whether the comparison result satisfies a first threshold condition, and generate the first push information in response to the comparison result satisfying a first threshold condition Push to at least one of the first user and or the second user.
- the system further includes at least one terminal device, where the terminal device includes:
- An interface configured to: receive the first push information; and/or send the shared information related to the first push information.
- the terminal device further includes: a display, configured to display the received first push information and/or the shared information.
- the system further includes at least one detecting device, where the detecting device comprises:
- a detection circuit configured to generate physiological detection data of the at least one of the first user and the second user by detecting at least one of the first user and the second user;
- a transceiver configured to transmit physiological detection data of the at least one of the first user and the second user to a server.
- Embodiments of the present disclosure also provide a computer readable storage medium storing computer program code, when executed by at least one processor, causing the processor to perform a method according to an embodiment of the present disclosure .
- FIG. 1 is a schematic flowchart of an embodiment of an information processing method according to the present disclosure
- FIG. 2 is a schematic flowchart of another embodiment of an information processing method according to the present disclosure.
- FIG. 3 is a schematic flowchart of still another embodiment of an information processing method according to the present disclosure.
- FIG. 4 is a schematic block diagram of one embodiment of an information processing system of the present disclosure.
- Figure 5 is a schematic block diagram of another embodiment of the information processing system of the present disclosure.
- FIG. 6 is a schematic block diagram of still another embodiment of an information processing system of the present disclosure.
- Figure 7 is a schematic block diagram of one embodiment of an information processing system of the present disclosure.
- Figure 8 is a schematic block diagram of another embodiment of the information processing system of the present disclosure.
- FIG. 9 is a schematic diagram of a display interface of a detection device in an embodiment of the information processing system of the present disclosure.
- Figure 10 is a schematic illustration of one embodiment of a server of the present disclosure.
- the present disclosure provides an information processing method applied to a server, including:
- S30 Determine whether the comparison result of the first analysis data and the second analysis data meets the first condition, and in response to the comparison result satisfying the first condition, generate first push information related to the comparison result and push the first push information to the first user and the second user. At least one of them.
- the first physiological detection data and the second physiological detection data may be, for example, one or more of physiological parameters such as blood pressure, blood oxygen, pulse, heart rate, and body weight.
- the detecting device may send the measured physiological detecting data of the user to the server, or the user may upload the measured physiological detecting data through the terminal device APP or the like.
- the terminal device APP involved in the embodiment of the present disclosure may be an independently developed APP for physiological data detection and analysis sharing, or may be an existing APP embedded with a physiological data detection and analysis sharing function module.
- the first predetermined time period and the second predetermined time period may be natural periods, such as one month, one week, and the like defined by the start and end dates.
- the first predetermined time period and the second predetermined time period may be the same time period, or may be different time periods of the same length, in order to visually compare the first analysis data and the second analysis data.
- the first predetermined period of time and the second predetermined period of time may also be periods of different lengths, for example, when the first predetermined period of time is longer than the second predetermined period of time, if the first predetermined period of time includes the second predetermined period of time, the first analysis data may be obtained And after the second analysis data, the portion of the first analysis data corresponding to the time period of the second analysis data is compared.
- the first predetermined time period and the second predetermined time period may also be time periods defined by the length of time, and the first predetermined time period and the second predetermined time period may be the same time period, such as one month of any start and end date. Or wait a week.
- the first user or the second user may log in to the server through the detecting device or the terminal device APP.
- the detecting device or the terminal device APP can obtain the verification information input by the current operating body, and the verification information and the pre-stored information.
- the preset information is compared, or the obtained verification information is sent to the server, and the server compares the verification information with the pre-stored preset information to confirm the identity of the operating body.
- the verification information input by the current operating body may be the fingerprint information collected by the fingerprint identification recorder and/or the facial image information collected by the face recognizer and/or the string information collected by the keyboard or the touch screen.
- the pre-stored preset information may be a fingerprint, a face image or a character string.
- the server may receive the physiological detection data currently measured by the first user and is previously associated with the server.
- the stored history detection data of the first user is stored together; if the verification information is inconsistent with the pre-stored any preset information, it is determined that the current operation body is an unregistered user, and the user may be prompted to establish a user account to store the physiological detection data. Or prompting the user to only know the real-time detection data of the current user detected by the current time detecting device and cannot be stored as historical detection data.
- the first predetermined time period may be a period of time including the current time, or may be a period of time not including the current time.
- the predetermined time period may include the current time; if the current time, the first user only logs in to the server through the detecting device or the terminal device APP.
- the predetermined time may not include the current time, for example, the last detection time may be used as the time period end point, or the time limit end point may be specified by the user.
- the first and second predetermined time periods do not include the current time.
- the length of the predetermined time period may be the default duration of the system, or may be the set duration of the default time modified by the first user as needed.
- the first analysis data may be analysis data corresponding to the physiological signs obtained by analyzing the physiological data according to one of the first physiological detection data in the first predetermined time period. It may also be an analysis data that is obtained by analyzing a plurality of physiological data in the first physiological detection data in the first predetermined time period to characterize the overall health state. Wherein, the analysis data may include text, a chart, and/or a graph.
- the weight detection data of the first user in the first predetermined time period may be analyzed, and the peak value, the bottom value, and the body weight peak/valley value of the first user in the first predetermined time period are analyzed. Time, the fastest/slowest time to increase weight, the fastest/slowest time to lose weight, the degree of weight gain/decrease in the first predetermined time period, etc.
- the above analysis data can be used in one of text, chart and graph Or a variety of representations.
- the blood pressure detection data, the pulse detection data, the heart rate detection data, and the blood oxygenation detection data of the first user in the first predetermined time period may be analyzed to analyze the first time in the first predetermined time period.
- the user's heart health status index which can be represented by one or more of text, chart, and graph.
- the manner of analyzing the second physiological detection data in the second predetermined time period of the second user is similar to the analysis manner of the first physiological detection data in the first predetermined time period of the first user, and a detailed description is omitted here.
- the first analysis data when it is determined whether the comparison result of the first analysis data and the second analysis data meets the first condition, it may be determined whether the first analysis data has a reference value for the second user, or whether the second analysis data is A user has a reference value.
- the first user is controlling blood pressure and setting a target blood pressure value, or the system sets an ideal blood pressure value, when the second analysis data of the second user reaches the first user's desired blood pressure drop rate
- the second analysis data is considered to have a reference value for the first user, and the comparison result satisfies the first condition, and the first push information is generated and sent to the first user, and vice versa.
- the first analysis data of the first user and the second analysis data of the second user both achieve an ideal blood pressure drop rate
- the first analysis data has reference value to the second user
- the second analysis data also has reference value to the first user
- the first push information can be generated and sent to the first user and the second user.
- the first push information related to the comparison result may include a comparison of the first analysis data and the second analysis data, related recommendation information, and the like.
- the recommendation information may include information about health-related methods adopted by one user in the first user and the second user, such as a diet method, a fitness method/institutional information, a music or fragrance method, a mental health course, etc. And the first push information is pushed to one of the first user and the second user.
- the user may record the health related method used by the user through the terminal device APP, and the server may extract the health related method information used by the user in the predetermined time period in the user account data; or the server
- the user who is better than the first user and the second user to analyze the data may request the user to submit the information of the health related method adopted by the user in the predetermined time period, so as to be sent to the first user and the second user through the first push information. Another user.
- the information processing method of the embodiment of the present disclosure it is possible to interact based on the comparison and analysis of the physiological detection data between the first user and the second user associated with the first user, and intelligently according to the data of one user with excellent health index Providing another user with push information including methods for improving the health index, achieving a synergistic improvement in the user's health index and helping to improve the overall health of the people.
- FIG. 2 is a schematic flowchart of still another embodiment of an information processing method according to the present disclosure.
- the information processing method of the embodiment of the present disclosure includes:
- S120 Determine, according to the operation record of the first user, the second user associated with the first user, and generate second analysis data according to the second physiological detection data in the second predetermined time period of the second user;
- S130 Determine whether the comparison result of the first analysis data and the second analysis data meets the first condition, and in response to the comparison result satisfying the first condition, generate first push information related to the comparison result and push the first push information to the first user and the second user. At least one of them.
- S110 and S130 in the embodiment of the present disclosure are similar to S10 and S30 in the embodiment shown in FIG. 1, and a detailed description is omitted here.
- the operation record of the first user may be the basic information of the first user submitted to the server, or may be the physiological state of the other user who browses the friend as the friend through the terminal device APP.
- the data is detected, and the first user can also add the contact as an operation record of the APP friend.
- the basic information of the first user submitted by the first user to the server may include information such as gender, age, region, hobby, etc., and the server may use other users that are the same as or similar to one or more of the above information of the first user.
- the second user associated with the first user or the first user may instruct the server to use other users who are similar in one or several pieces of information specified by the first user as the second user.
- the first user can browse the physiological detection data of the other user in the terminal device APP, and the server can use the other users involved in the historical browsing record as the second user associated with the first user according to the historical browsing record of the first user.
- the server can also filter other users involved in the historical browsing record, for example, according to the number of times and frequency set by the system or user, and other users who meet the number of browsing times and frequencies as the first The second user associated with the user.
- the first user may see the candidate friend information recommended by the system to the first user in the terminal device APP.
- the recommended candidate friend has the contact information stored in the terminal device of the first user
- the first user may be in the APP.
- the server may directly add the user added as an APP friend as the second user associated with the first user according to the operation record of the first user.
- the first user may only want to compare physiological data with a specific user, for example, some users who are similar to their own situation, the first user may set one or all of these users to be the same through the terminal device APP or a webpage.
- a second user associated with a user If the first user is a driver, a driver friend whose working time period is close to himself is set as the second user, so that when the analysis data of the second user is ideal, the health-related method adopted by the second user is for the first user. Has a high reference value.
- the first user is losing weight and continuously detects the weight data during the first predetermined time period (one month/one week), and can obtain the data within 3 months by the first user's APP circle history browsing record.
- the weight detection data of the user 1 - user n viewed by the first user is consistent with the number of times and frequency set by the system or the user, and the user 1 - user n are both used as the second user.
- the weight change rate of the user 2 is the best among the user 1 - user n and is better than the first user
- the first push information may be generated and pushed to the first user, and the content of the first push information may be " User XX has the highest historical weight/health effect in this month/week, and it is best to get it.” Or “Your friend user XX has n-week YY method fitness, and the weight has dropped by m kg in this week. The best level of history, and your weight situation is ..., go get it ⁇ / continue to cheer ⁇ ".
- determining whether the comparison result of the first analysis data and the second analysis data meets the first condition may be determining whether the comparison result meets the first threshold condition. Determining whether the comparison result meets the first threshold condition, for example, but not limited to, determining whether the difference between the first analysis data and the second analysis data falls within a predetermined threshold range, or the physiological health index corresponding to the first analysis result is predetermined Whether the difference between the threshold and the difference between the physiological health index corresponding to the second analysis result and the predetermined threshold falls within a predetermined threshold range, and the like.
- the physiological health index may be the weight change rate, and may be based on the second user's weight change rate (such as the weight loss rate) in the second analysis result and the first user in the first analysis result.
- the rate of change in body weight (such as the rate of weight loss) is compared, if the difference between the rate of change of the weight of the second user and the rate of change of the weight of the first user falls within a certain threshold range, for example, 5% of the proposed rate of change of the first user Then, it is determined that the first condition is met.
- FIG. 3 is a schematic flowchart of still another embodiment of an information processing method according to the present disclosure.
- the information processing method of the embodiment of the present disclosure includes:
- S210 Generate first analysis data according to the first physiological detection data in the first predetermined time period of the first user.
- S230 Determine whether the comparison result of the first analysis data and the second analysis data meets the first condition, and in response to the comparison result satisfying the first condition, generate first push information related to the comparison result and push the first push information to the first user and the second user. At least one of them;
- S240 Generate second push information related to the first analysis data and push the information to the first user.
- S210-S230 in the embodiment of the present disclosure is similar to S10-S30 in the embodiment shown in FIG. 1, and a detailed description is omitted here.
- the second push information related to the first analysis data generated in step S240 may include a current health status of the first user determined according to the first analysis data and a medical suggestion according to the current health condition, and Medical institution information related to medical advice, etc.
- the medical institution information related to the medical advice may include the name of the medical institution related to the proposed medical advice, the address or geographic location of the medical institution, the current medical information, and the professional information.
- the current current of the first user can be determined according to the first analysis data.
- Blood pressure status and medical advice may be determined by the server based on a model obtained after deep learning, or may be determined by a physician at any medical institution.
- the medical institution associated with the proposed medical advice may include: being able to be based on the current blood pressure condition and medical advice A medical institution that implements better diagnosis and treatment.
- the second push information may be sorted according to the degree of professionalism of the medical institution to diagnose the problem, the distance from the first user, the level of the medical institution, and the like.
- the medical institution associated with the proposed medical advice may include: a medical institution that proposes current blood pressure status and medical advice and A medical institution that can perform better diagnosis based on current blood pressure conditions and medical recommendations.
- the medical institution presenting the current blood pressure status and medical advice can be ranked first, and the first user's current blood pressure status and medical advice are prompted by the medical institution.
- Other medical institutions that can diagnose the current blood pressure status and medical advice can be sorted according to the degree of professionalism of the medical institution to diagnose the problem, the distance from the first user, the level of the medical institution, and the like.
- FIG. 4 is a schematic block diagram of one embodiment of an information processing system of the present disclosure.
- the present disclosure further provides an information processing system including at least one server 10, and the server 10 includes:
- a first analyzing unit 11 configured to generate first analysis data according to the first physiological detection data in the first predetermined time period of the first user
- a second analyzing unit 12 configured to generate second analysis data according to the second physiological detection data in the second predetermined time period of the second user associated with the first user;
- a first pushing unit 13 configured to determine whether the comparison result of the first analysis data and the second analysis data satisfies a first condition, and generate a number related to the comparison result in response to the comparison result satisfying the first condition The information is pushed and pushed to at least one of the first user and the second user.
- the first predetermined time period and the second predetermined time period may be natural periods, such as one month, one week, and the like defined by the start and end dates.
- the first predetermined time period and the second predetermined time period may be the same time period, or may be different time periods of the same length, in order to visually compare the first analysis data and the second analysis data.
- the first predetermined period of time and the second predetermined period of time may also be periods of different lengths, for example, when the first predetermined period of time is longer than the second predetermined period of time, if the first predetermined period of time includes the second predetermined period of time, the first analysis data may be obtained And after the second analysis data, the portion of the first analysis data corresponding to the time period of the second analysis data is compared.
- the first predetermined time period and the second predetermined time period may also be time periods defined by the length of time, and the first predetermined time period and the second predetermined time period may be the same time period, such as one month of any start and end date. Or wait a week.
- the first analysis data generated by the first analysis unit 11 may be an analysis of the physiological physical signs corresponding to the physiological data obtained by analyzing one of the first physiological detection data in the first predetermined time period.
- the data may also be an analysis data that is obtained by analyzing a plurality of physiological data in the first physiological detection data in the first predetermined time period to characterize the overall health state.
- the analysis data may include text, a chart, and/or a graph.
- the analysis manner of the second physiological detection data in the second predetermined time period of the second user generated by the second analysis unit 12 is similar to the analysis manner of the first physiological detection data in the first predetermined time period of the first user, where The detailed description is omitted.
- the first pushing unit 13 may determine whether the first analysis data has a reference value to the second user, or Second, whether the data has reference value to the first user.
- the first user is controlling blood pressure and setting a target blood pressure value, or the system sets an ideal blood pressure value
- the second analysis data of the second user reaches the first user's desired blood pressure drop rate, the first user himself
- the second analysis data is considered to have a reference value for the first user, and the comparison result satisfies the first condition.
- the first push information related to the comparison result generated by the first pushing unit 13 may include a comparison situation of the first analysis data and the second analysis data, related recommendation information, and the like.
- the recommendation information may include information about health-related methods adopted by one user in the first user and the second user, such as a diet method, a fitness method/institutional information, a music or fragrance method, a mental health course, etc. And the first push information is pushed to one of the first user and the second user.
- the user may record the health related method used by the user, and the server 10 may extract the health related method information used by the user within the predetermined time period in the user account data; or the server 10 may be the first The user and the second user who are better than the analysis data request the user to submit the information of the health related method adopted by the user in the predetermined time period, so as to be sent to the other user of the first user and the second user by the first push information. .
- the information processing system of the embodiment of the present disclosure it is possible to interact based on comparison and analysis of physiological detection data between the first user and the second user associated with the first user, and intelligently according to data of one user with excellent health index Providing another user with push information including methods for improving the health index, achieving a synergistic improvement in the user's health index and helping to improve the overall health of the people.
- the server 10 may be a cloud server or a physical server.
- the information processing system may further include a memory for storing data and a display terminal for displaying the analysis content of the cloud server.
- the server 10 is a physical server, the physical server includes a storage module for storing data and a display module for displaying analysis content of the physical server.
- Figure 5 is a schematic block diagram of another embodiment of an information processing system of the present disclosure.
- the server 10 of the information processing system further includes:
- the second pushing unit 14 is configured to generate second push information related to the first analysis data and push it to the first user.
- the second push information generated by the second pushing unit 14 and related to the first analysis data may include the current health status of the first user determined according to the first analysis data, medical suggestions according to the current health status, and medical suggestions.
- the medical institution information related to the medical advice may include the name of the medical institution related to the proposed medical advice, the address or geographic location of the medical institution, the current medical information, and the professional information.
- FIG. 6 is a schematic block diagram of still another embodiment of an information processing system of the present disclosure.
- the server 10 of the information processing system further includes:
- a determining unit 15 is configured to determine the second user based on the operational record of the first user.
- the operation record of the first user may be the basic information of the first user submitted to the server 10, or may be the physiological detection data of the other user browsing the other user as the friend, and may also be the first user. Add a contact as a friend's action log.
- the basic information of the first user submitted by the first user to the server 10 may include information such as gender, age, region, hobby, etc., and the determining unit 15 may be the same or similar to one or more of the above information of the first user.
- the user acts as a second user associated with the first user, or the first user can instruct the determining unit 15 to use other users that are similar in one or more pieces of information specified by the first user as the second user.
- the first user can also browse the physiological detection data of other users, and the determining unit 15 can use other users involved in the historical browsing record as the second user associated with the first user according to the historical browsing record of the first user.
- the determining unit 15 may also filter other users involved in the history browsing record, for example, according to the number of times and frequency set by the system or the user, and select other users that satisfy the number of browsing times and frequencies.
- a second user associated with a user is accessed the number of times and frequency set by the system or the user.
- the first user can also view the candidate friend information recommended by the system to the first user.
- the recommended candidate friend has the contact information stored by the first user
- the first user can add the contact as a friend.
- the determining unit 15 may directly use the user who is added a friend as the second user associated with the first user according to the operation record of the first user.
- the first pushing unit is configured to determine whether the comparison result satisfies the first threshold condition, and in response to the comparison result satisfying the first threshold condition, generate the first push information and push it to the first user and the second user. at least one. Determining whether the comparison result meets the first threshold condition, for example, but not limited to, determining whether the difference between the first analysis data and the second analysis data falls within a predetermined threshold range, or the physiological health index corresponding to the first analysis result is predetermined Whether the difference between the threshold and the difference between the physiological health index corresponding to the second analysis result and the predetermined threshold falls within a predetermined threshold range, and the like.
- the physiological health index may be the weight change rate, and may be based on the second user's weight change rate (such as the weight loss rate) in the second analysis result and the first user in the first analysis result.
- the rate of change in body weight (such as the rate of weight loss) is compared. If the difference between the rate of change of the weight of the second user and the rate of change of the weight of the first user falls within a certain threshold range, it is determined that the first condition is met.
- Figure 7 is a schematic block diagram of one embodiment of an information processing system of the present disclosure.
- the information processing system of the present disclosure includes a server 10 and at least one terminal device 20.
- the terminal device 20 includes:
- An interface 210 configured to receive the first push information
- the first user or the second user may log in to the server 10 by logging in the APP on the terminal device, and upload the measured physiological detection data to the server.
- the server 10 after analyzing the physiological detection data of the first user and the second user, generates the first push information, and can be pushed to the terminal device APP of at least one of the first user and the second user for timely review by the user.
- the terminal device 20 may further include an identity identifying unit, configured to acquire authentication information input by the current operating body, send the acquired verification information to the server 10 through the APP, and the server 10 transmits the verification information and the pre-stored information.
- the preset information is compared to confirm the identity of the operator.
- the identity recognition unit in the detecting device 30 may be a fingerprint recognition input device, a face recognition device or a keyboard/touch screen for acquiring verification information input by the current operating body.
- the verification information input by the current operating body may be the fingerprint information collected by the fingerprint identification recorder and/or the facial image information collected by the face recognizer and/or the string information collected by the keyboard or the touch screen.
- the preset information pre-stored by the server 10 may be a fingerprint, a face image or a character string.
- the terminal device APP when the first user or the second user needs to detect by the detecting device, the terminal device APP may be connected to the detecting device through a local area network or the like, and the interface 210 is further configured to receive the first user or the second.
- the user currently uploads the measured physiological detection data to the server 10 through the terminal device through the physiological detection data measured by the detection device.
- the interface 210 may be further configured to receive historical detection data of a user previously stored by the server 10.
- the interface 210 may also be configured to enable communication and communication between the first user and the second user.
- the first user may send the shared information related to the first push information to the second user, and perform instant communication with the second user to learn or teach the second user how to improve the health index.
- the terminal device 20 further includes a display 220 for displaying the received first push information and/or the shared information.
- the terminal device 20 may be a smart terminal such as a mobile phone, a notebook computer, or a tablet computer.
- FIG. 8 is a schematic block diagram of another embodiment of an information processing system of the present disclosure.
- the information processing system of the present disclosure includes a server 10, at least one application installed in the terminal device 20, and at least one detecting device 30.
- the detecting device 30 includes:
- a detection circuit configured to generate physiological detection data of the at least one of the first user and the second user by detecting at least one of the first user and the second user;
- a transceiver configured to transmit physiological detection data of the at least one of the first user and the second user to a server.
- the detecting device may include a shared MTX device, a weight weighing device, and a heart rate measuring device for detecting one or more of blood pressure, blood oxygen, pulse, heart rate, and body weight in the physiological detection data.
- the physiological detection data detected by the detecting device may be one or more of physiological parameters such as blood pressure, blood oxygen, pulse, heart rate, and body weight.
- the detecting device 30 may include an identity identifying unit.
- the detecting device 30 can obtain the verification information input by the current operating body, compare the verification information with the pre-stored preset information, or send the obtained verification information to the server 10, and the server 10 compares the verification information with the pre-stored preset information to confirm The identity of the operator.
- the identity recognition unit in the detecting device 30 may be a fingerprint recognition input device, a face recognition device or a keyboard/touch screen for acquiring verification information input by the current operating body.
- the verification information input by the current operating body may be the fingerprint information collected by the fingerprint identification recorder and/or the facial image information collected by the face recognizer and/or the string information collected by the keyboard or the touch screen.
- the preset information pre-stored by the server 10 may be a fingerprint, a face image or a character string.
- the server 10 determines that the verification information is consistent with the pre-stored preset information of the first user, it can be determined that the current operating body is the first user, and the server 10 can receive the physiological detection data currently measured by the first user and The historical detection data of the first user stored by the server 10 is stored together; if the verification information is inconsistent with the pre-stored any preset information, it is determined that the current operating body is an unregistered user, and the user may be prompted to establish a user account to store the physiological Test data.
- the server 10 may be pushed to the first user and the second user after generating the first push information after the physiological detection data of the first user and the second user measured and uploaded by the analysis detecting device 30. At least one of the terminal devices APP is available for timely review by the user.
- FIG. 9 is a schematic diagram of a display interface of a detection device in an embodiment of the information processing system of the present disclosure.
- the information processing system may also be constituted by the server 10 and at least one detecting device 30, and the server 10 transmits the first push information to the detecting device 30.
- the detecting device 30 may be equipped with a display 330 configured to, after the detecting device 30 receives the physiological detection data and/or the first push information of the first user or the second user, may perform the physiological detection data and the first push according to a predetermined form. The information is displayed.
- display 330 includes a display interface 40 that can be displayed in a predetermined manner.
- the display interface 40 may include a first push information sub-interface 41, a vertical analysis sub-interface 42, a second push information sub-interface 43, a map sub-interface 44, and an identification portion 45.
- the first push information sub-interface 41 may display first push information including, for example, comparison results of the first analysis data and the second analysis data, a comparison graph, and the like.
- the longitudinal analysis sub-interface 42 can display a graph corresponding to the first analysis data.
- the second push information sub-interface 43 may include second push information.
- the map sub-interface 44 may include a map with the address of the medical institution providing the second push information and a map with the address of the medical institution near the current location address.
- the map sub-interface 44 may further be provided with an adjustment/display switching button.
- the display switching button is used to switch the display of the map sub-interface 44, and the display map is switched to display the medical institution information of the medical institution displayed in the map.
- the adjustment buttons are used to zoom in or out on the map location and to adjust the geographic location of the map display.
- Server 100 has processing circuitry 110.
- the processing circuitry can include memory 112 and processor 114.
- the processing circuitry can be configured to perform one or more of the functions described in this disclosure.
- processing circuitry 110 may include integrated circuits for processing and/or control, such as one or more processors and/or processor cores and/or FPGAs (field programmable gate arrays) And / or ASIC (Application Specific Integrated Circuit).
- Processing circuitry 110 may include and/or be coupled to and/or configured to access (eg, write and/or read) memory 112, which may include any type of volatile and/or nonvolatile memory, For example, cache and/or buffer memory and/or RAM (random access memory) and/or ROM (read only memory) and/or optical memory and/or EPROM (erasable programmable read only memory).
- memory 112 can be configured to store computer program code and/or other data executable by processor 114, such as first physiological detection data, second physiological detection data, first analytical data, and second analytical data, and the like.
- Processing circuitry 110 may be configured to control any of the methods described herein and/or such that such methods are performed by, for example, processor 114.
- processing circuit 110 can include a controller that can include a microprocessor and/or a microcontroller and/or an FPGA (Field Programmable Gate Array) device and/or an ASIC (Application Specific Integrated Circuit) device. It is contemplated that processing circuit 110 includes or can be coupled to or can be coupled to a memory that can be adapted to be accessible by controller and/or processing circuit 110 for reading and/or writing.
- a controller can include a microprocessor and/or a microcontroller and/or an FPGA (Field Programmable Gate Array) device and/or an ASIC (Application Specific Integrated Circuit) device.
- FPGA Field Programmable Gate Array
- ASIC Application Specific Integrated Circuit
- the processor 114 may execute the computer program code stored in the memory 112 to: generate first analysis data according to the first physiological detection data in the first predetermined time period of the first user; The second physiological detection data in the second predetermined time period of the second user associated with the user generates second analysis data; determining whether the comparison result of the first analysis data and the second analysis data satisfies the first condition, in response to The comparison result satisfies the first condition, and the first push information related to the comparison result is generated and pushed to at least one of the first user and the second user.
- the processor 114 may execute the computer program code stored in the memory 112 to generate second push information related to the first analysis data and push it to the first user.
- the processor 114 may execute the computer program code stored in the memory 112 to determine the second user based on the operation record of the first user.
- the processor 114 may execute the computer program code stored in the memory 112 to: determine whether the comparison result of the first analysis data and the second analysis data satisfies a first threshold condition, in response to the comparison result Satisfying the first threshold condition, generating the first push information and pushing to at least one of the first user and the second user.
- the concepts described herein can be embodied as a method, an information processing system, and/or a computer program product.
- the concepts described herein may take the form of an entirely hardware embodiment, an entirely software embodiment, or a combination of hardware and software embodiments, which are collectively referred to herein as “circuits" or “modules.”
- the present disclosure can take the form of a computer program product on a tangible computer readable storage medium having computer program code executable by a computer embodied in a medium. Any suitable tangible computer readable storage medium may be utilized, including a hard disk, a CD-ROM, an electrical storage device, an optical storage device, or a magnetic storage device.
- the computer program instructions may also be stored in a computer readable memory or storage medium that directs a computer or other programmable information processing device to operate in a particular manner, such that the instruction device device stored in the computer readable memory comprises an implementation flow diagram and/or block diagram.
- the computer program instructions can also be loaded into a computer or other programmable information processing device to cause a series of operational steps to be performed on a computer or other programmable device to generate computer-implemented processing for execution on a computer or other programmable device.
- the instructions provide steps for implementing the functions/acts specified in one or more of the blocks of the flowcharts and/or block diagrams.
Landscapes
- Medical Informatics (AREA)
- Engineering & Computer Science (AREA)
- Public Health (AREA)
- Health & Medical Sciences (AREA)
- Pathology (AREA)
- Databases & Information Systems (AREA)
- Data Mining & Analysis (AREA)
- Biomedical Technology (AREA)
- Epidemiology (AREA)
- General Health & Medical Sciences (AREA)
- Primary Health Care (AREA)
- Medical Treatment And Welfare Office Work (AREA)
- Measuring And Recording Apparatus For Diagnosis (AREA)
Abstract
Description
Claims (12)
- 一种信息处理方法,包括:根据第一用户的第一预定时段内的第一生理检测数据生成第一分析数据;根据与所述第一用户关联的第二用户的第二预定时段内的第二生理检测数据生成第二分析数据;判断所述第一分析数据和所述第二分析数据的对比结果是否满足第一条件,响应于对比结果满足第一条件,生成与所述对比结果相关的第一推送信息并推送给所述第一用户和第二用户中的至少一个。
- 如权利要求1所述的方法,还包括:根据所述第一用户的操作记录确定所述第二用户。
- 如权利要求1或2所述的方法,其中,所述第一条件包括第一阈值条件。
- 如权利要求1或2所述的方法,其中,生成第一分析数据后,所述方法还包括:生成与所述第一分析数据相关的第二推送信息并推送给第一用户。
- 一种信息处理系统,包括至少一个服务器,所述服务器包括:存储器,存储计算机程序代码;处理器,被配置为执行所述计算机程序代码以:根据第一用户的第一预定时段内的第一生理检测数据生成第一分析数据;根据与所述第一用户关联的第二用户的第二预定时段内的第二生理检测数据生成第二分析数据;判断所述第一分析数据和所述第二分析数据的对比结果是否满足第一条件,响应于对比结果满足第一条件,生成与所述对比结果相关的第一推送信息并推送给第一用户和第二用户中的至少一个。
- 如权利要求5所述的系统,其中,所述处理器还被配置为执行所述计算机程序代码以:生成与所述第一分析数据相关的第二推送信息并推送给第一用户。
- 如权利要求5或6所述的系统,其中,所述处理器还被配置为执行所述计算机程序代码以:根据所述第一用户的操作记录确定所述第二用户。
- 如权利要求5或6所述的系统,其中,所述处理器还被配置为执行所述计算机程序代码以判断所述第一分析数据和第二分析数据的对比结果是否满足第一阈值条件,响应于对比结果满足第一阈值条件,生成所述第一推送信息并推送给第一用户和第二用户中的所述至少一个。
- 如权利要求5或6所述的系统,还包括至少一个终端设备,所述终端设备包括:接口,其配置为:接收所述第一推送信息;和/或发送与所述第一推送信息相关的共享信息。
- 如权利要求9所述的系统,其中,所述终端设备还包括:显示器,用于显示所接收的第一推送信息和/或所述共享信息。
- 如权利要求5-10中任一项所述的系统,还包括至少一个检测设备,所述检测设备包括:检测电路,其配置为通过对所述第一用户和第二用户中的至少一个进行检测以生成所述第一用户和第二用户中的所述至少一个的生理检测数据;收发机,其配置为将所述第一用户和第二用户中的所述至少一个的生理检测数据发送至所述服务器。
- 一种计算机可读存储介质,存储有计算机程序代码,所述计算机程序代码在由至少一个处理器执行时,使得所述处理器执行根据权利要求1-4中任一项所述的方法。
Applications Claiming Priority (2)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN201810368241.X | 2018-04-23 | ||
CN201810368241.XA CN108538392A (zh) | 2018-04-23 | 2018-04-23 | 一种信息处理方法及系统 |
Publications (1)
Publication Number | Publication Date |
---|---|
WO2019206043A1 true WO2019206043A1 (zh) | 2019-10-31 |
Family
ID=63479286
Family Applications (1)
Application Number | Title | Priority Date | Filing Date |
---|---|---|---|
PCT/CN2019/083475 WO2019206043A1 (zh) | 2018-04-23 | 2019-04-19 | 信息处理方法及系统 |
Country Status (2)
Country | Link |
---|---|
CN (1) | CN108538392A (zh) |
WO (1) | WO2019206043A1 (zh) |
Families Citing this family (2)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN108538392A (zh) * | 2018-04-23 | 2018-09-14 | 京东方科技集团股份有限公司 | 一种信息处理方法及系统 |
CN111428742B (zh) * | 2018-12-24 | 2023-12-19 | 有品国际科技(深圳)有限责任公司 | 人体健康测量方法、装置、计算机设备及存储介质 |
Citations (4)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN106156457A (zh) * | 2015-03-27 | 2016-11-23 | 时云医疗科技(上海)有限公司 | 一种基于体征数据的信息推送方法及系统 |
CN106446581A (zh) * | 2016-10-18 | 2017-02-22 | 江西博瑞彤芸科技有限公司 | 体征数据的分析方法 |
CN106485083A (zh) * | 2016-10-18 | 2017-03-08 | 江西博瑞彤芸科技有限公司 | 家庭用户体征数据监控方法 |
CN108538392A (zh) * | 2018-04-23 | 2018-09-14 | 京东方科技集团股份有限公司 | 一种信息处理方法及系统 |
Family Cites Families (6)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN104063824B (zh) * | 2014-06-24 | 2018-03-30 | 厦门美柚信息科技有限公司 | 健康指导信息的生成方法及装置 |
US20160113569A1 (en) * | 2014-10-28 | 2016-04-28 | Ebay Inc. | Health issue detection and treatment system |
CN104537593A (zh) * | 2014-12-09 | 2015-04-22 | 北京康源互动健康科技有限公司 | 一种基于云平台的健康运动监控系统及方法 |
CN106503110A (zh) * | 2016-10-18 | 2017-03-15 | 江西博瑞彤芸科技有限公司 | 健康信息推送方法 |
CN107088052A (zh) * | 2017-04-21 | 2017-08-25 | 湖南格尔智慧科技有限公司 | 一种预警方法和装置 |
CN107887020A (zh) * | 2017-11-01 | 2018-04-06 | 京东方科技集团股份有限公司 | 一种体征检测系统和体征检测方法 |
-
2018
- 2018-04-23 CN CN201810368241.XA patent/CN108538392A/zh active Pending
-
2019
- 2019-04-19 WO PCT/CN2019/083475 patent/WO2019206043A1/zh active Application Filing
Patent Citations (4)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN106156457A (zh) * | 2015-03-27 | 2016-11-23 | 时云医疗科技(上海)有限公司 | 一种基于体征数据的信息推送方法及系统 |
CN106446581A (zh) * | 2016-10-18 | 2017-02-22 | 江西博瑞彤芸科技有限公司 | 体征数据的分析方法 |
CN106485083A (zh) * | 2016-10-18 | 2017-03-08 | 江西博瑞彤芸科技有限公司 | 家庭用户体征数据监控方法 |
CN108538392A (zh) * | 2018-04-23 | 2018-09-14 | 京东方科技集团股份有限公司 | 一种信息处理方法及系统 |
Also Published As
Publication number | Publication date |
---|---|
CN108538392A (zh) | 2018-09-14 |
Similar Documents
Publication | Publication Date | Title |
---|---|---|
KR102571097B1 (ko) | 모바일 장치를 위한 건강 지원 그룹 | |
US11615872B2 (en) | Chronic disease discovery and management system | |
US20210098110A1 (en) | Digital Health Wellbeing | |
US9861308B2 (en) | Method and system for monitoring stress conditions | |
US9370689B2 (en) | System and methods for providing dynamic integrated wellness assessment | |
JP2022500797A (ja) | 血糖濃度の予測 | |
US10515631B2 (en) | System and method for assessing the cognitive style of a person | |
US20140278474A1 (en) | Helping People with Their Health | |
US20170185631A1 (en) | Map Screen Determining Method and Apparatus | |
US20160189051A1 (en) | Method of conditionally prompting wearable sensor users for activity context in the presence of sensor anomalies | |
KR101739912B1 (ko) | 원격 의료 방법 및 이를 이용한 원격 의료 시스템 | |
CN111801939A (zh) | 用于实时跌倒风险评估的经连接自助服务终端 | |
CN109817312A (zh) | 一种就诊引导方法及计算机设备 | |
US20170309196A1 (en) | User energy-level anomaly detection | |
US11508479B2 (en) | Automated question generation and response tracking | |
US11423335B2 (en) | Data processing system with machine learning engine to provide output generating functions | |
US20120221345A1 (en) | Helping people with their health | |
WO2016006042A1 (ja) | データ分析装置、データ分析装置の制御方法、およびデータ分析装置の制御プログラム | |
JP5830488B2 (ja) | 健康情報管理装置、方法及びプログラム | |
JP2017188089A (ja) | 行動予測 | |
WO2019206043A1 (zh) | 信息处理方法及系统 | |
US20180366024A1 (en) | Providing suggested behavior modifications for a correlation | |
US20170109501A1 (en) | System and methods for assessing patient ability for shared-decision making | |
EP3117301A1 (en) | A method for controlling an individualized video data output on a display device and system | |
US11615793B1 (en) | Voice assistant configured to leverage information from sensing devices |
Legal Events
Date | Code | Title | Description |
---|---|---|---|
121 | Ep: the epo has been informed by wipo that ep was designated in this application |
Ref document number: 19793423 Country of ref document: EP Kind code of ref document: A1 |
|
NENP | Non-entry into the national phase |
Ref country code: DE |
|
122 | Ep: pct application non-entry in european phase |
Ref document number: 19793423 Country of ref document: EP Kind code of ref document: A1 |
|
32PN | Ep: public notification in the ep bulletin as address of the adressee cannot be established |
Free format text: NOTING OF LOSS OF RIGHTS PURSUANT TO RULE 112(1) EPC (EPO FORM 1205A DATED 07/05/2021) |
|
122 | Ep: pct application non-entry in european phase |
Ref document number: 19793423 Country of ref document: EP Kind code of ref document: A1 |