WO2019206043A1 - 信息处理方法及系统 - Google Patents

信息处理方法及系统 Download PDF

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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
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WIPO (PCT)
Prior art keywords
user
analysis data
information
data
comparison result
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PCT/CN2019/083475
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English (en)
French (fr)
Inventor
董文储
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京东方科技集团股份有限公司
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Publication of WO2019206043A1 publication Critical patent/WO2019206043A1/zh

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    • 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.

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Abstract

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（S10）；根据与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（S20）；判断第一分析数据和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（S30）。还提供一种信息处理系统。

Description

信息处理方法及系统
交叉引用
本公开要求于2018年4月23日提交的发明名称为“一种信息处理方法及系统”的中国专利申请2018110368241.X的优先权益，在此引出以将其一并并入本文。
技术领域
本公开涉及信息处理技术领域，特别涉及一种信息处理方法及系统。
背景技术
随着人们对健康情况的关注度逐渐上升，人们渐渐不是等到患病才去医院进行治疗，而是在平日就注意监测自己身体的生理数据，从而对健康/医疗数据服务的要求逐渐增强。
目前，对于生理检测数据的信息处理局限于对用户生理数据检测和显示，难以满足人们的要求。
发明内容
本公开实施例提供了一种信息处理方法，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；
判断第一分析数据和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。
可选地，该方法还包括：
根据第一用户的操作记录确定第二用户。
可选地，第一条件包括第一阈值条件。
可选地，生成第一分析数据后，该方法还包括：
生成与第一分析数据相关的第二推送信息并推送给第一用户。
本公开实施例还提供了一种信息处理系统，包括至少一个服务器，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；
判断第一分析数据和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。
可选地，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。
可选地，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。
可选地，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或第二用户中的至少一个。
可选地，该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/或发送与第一推送信息相关的共享信息。
可选地，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。
可选地，该系统还包括至少一个检测设备，检测设备包括：
检测电路，其配置为通过对第一用户和第二用户中的至少一个进行检测以生成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服务器。
本公开实施例还提供了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本公开实施例所述的方法。
附图说明
图1为本公开的信息处理方法的一个实施例的示意性流程图；
图2为本公开的信息处理方法的另一个实施例的示意性流程图；
图3为本公开的信息处理方法的再一个实施例的示意性流程图；
图4为本公开的信息处理系统的一个实施例的示意性框图；
图5为本公开的信息处理系统的另一个实施例的示意性框图；
图6为本公开的信息处理系统的再一个实施例的示意性框图；
图7为本公开的信息处理系统的一个实施例的示意性框图；
图8为本公开的信息处理系统的另一个实施例的示意性框图；
图9为本公开的信息处理系统的实施例中检测设备的显示界面的示意图；
图10为本公开的服务器的一个实施例的示意图。
具体实施方式
如图1所示，本公开提供了一种应用于服务端的信息处理方法，包括：
S10、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；
S20、根据与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；
S30、判断第一分析数据和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。
在本公开实施例中，第一生理检测数据、第二生理检测数据例如可以为血压、血氧、脉搏、心率、体重等生理体征参数中的一种或者多种。用户在检测设备上做生理体征参数检测时，可以由该检测设备将测得的该用户的生理检测数据发送至服务端，或者用户也可以通过终端设备APP等方式将测得的生理检测数据上传至服务端。需要说明的是，本公开实施例中涉及的终端设备APP可以是独立开发的用于生理数据检测分析共享的APP，也可以是嵌入有生理数据检测分析共享功能模块的已有APP。
在本公开实施例中，第一预定时段与第二预定时段可以为自然时段，例如以起止日期限定的一个月、一周等。第一预定时段与第二预定时段可以是 同一时段，也可以是长度相同的不同时段，以便于直观地对比第一分析数据和第二分析数据。第一预定时段与第二预定时段还可以是长度不同的时段，例如当第一预定时段为比第二预定时段长时，如果第一预定时段包含第二预定时段，可以在得到第一分析数据和第二分析数据后，将第一分析数据中与第二分析数据的时段对应的部分进行比较。
在本公开实施例中，第一预定时段与第二预定时段还可以是以时间长度限定的时段，第一预定时段与第二预定时段可以是时间长度相同的时段，如任意起止日期的一个月或一周等。
在本公开实施例中，第一用户或第二用户可以通过检测设备或终端设备APP登录服务器。
为了判断当前操作体是否为第一用户或第二用户，从而确定需要对哪个用户的生理检测数据进行分析，检测设备或终端设备APP可以获取当前操作体输入的验证信息，将验证信息与预存的预设信息对比，或者将获取的验证信息发送至服务端，由服务端将验证信息与预存的预设信息对比来确认操作体的身份。
其中，当前操作体输入的验证信息可以为由指纹识别录入器采集的指纹信息和/或人脸识别器采集的人脸图像信息和/或键盘、触摸屏采集的字符串信息。对应的，预存的预设信息可以为指纹、人脸图像或字符串。
若验证信息与预存的第一用户的预设信息对比结果为一致，即可确定当前操作体是第一用户，则服务端可以接收对第一用户当前测得的生理检测数据并与服务端先前存储的第一用户的历史检测数据存储在一起；若验证信息与预存的任何预设信息对比结果为不一致，则确定当前操作体是未注册用户，可以提示用户建立用户账号来存储生理检测数据，或者提示用户仅能获知当前时刻检测设备检测的当前用户的实时检测数据而不能存储为历史检测数据。
在本公开实施例中，第一预定时段可以为包括当前时刻的一段时间，也可以为不包括当前时刻的一段时间。具体地，若当前时刻第一用户通过检测设备检测了实时检测数据并发送至服务端存储，则预定时段可以包括当前时刻；若当前时刻第一用户只是通过检测设备或终端设备APP登录到服务端但未通过检测设备检测实时检测数据或未上传检测数据，则预定时间可以不包括当前时刻，例如可以将上一次检测时间作为时段端点，或者由用户指定时段端点。需要说明的是，如果需要与第一生理检测数据进行对比的第二生理 检测数据中无实时检测数据，则第一和第二预定时段不包括当前时刻。另外，预定时段的时间长度可以为系统默认时长，也可以为由第一用户根据需要对默认的时间进行修改后的设定时长。
在本公开实施例中，在步骤S10中，第一分析数据可以为根据第一预定时段内的第一生理检测数据中的一种生理数据进行分析获得的该生理数据对应生理体征的分析数据，也可以为根据第一预定时段内的第一生理检测数据中的多种生理数据进行分析后获得的一种表征整体健康状态的分析数据。其中，分析数据可以包括文字、图表和/或曲线图。
作为非限制性的一个示例，可以对第一预定时段内第一用户的体重检测数据进行分析，分析出该第一预定时段内第一用户的体重峰值、谷值、体重峰/谷值对应的时间、体重增加最快/最慢的时间、体重减少最快/最慢的时间、第一预定时段内体重增加/减少的程度等，上述分析数据可以通过文字、图表和曲线图中的一种或者多种进行表示。
作为非限制性的再一示例，可以根据对第一预定时段内第一用户的血压检测数据、脉搏检测数据、心率检测数据和血氧检测数据进行分析，分析出该第一预定时段内第一用户的心脏健康状态指数，该分析数据可以通过文字、图表和曲线图中的一种或者多种进行表示。
对于第二用户的第二预定时段内的第二生理检测数据的分析方式与对第一用户的第一预定时段内的第一生理检测数据的分析方式类似，在此省略具体说明。
在本公开实施例中，判断第一分析数据和第二分析数据的对比结果是否满足第一条件时，可以判断第一分析数据是否对第二用户存在借鉴价值，或者第二分析数据是否对第一用户存在借鉴价值。作为一个非限制性示例，第一用户正在控制血压，并设定了目标血压值，或者系统设置了理想血压值，当存在第二用户的第二分析数据达到了第一用户期望的血压下降率而第一用户自身未能达到期望的血压下降率时，认为第二分析数据对第一用户存在借鉴价值，判断比对结果满足第一条件，生成第一推送信息发送给第一用户，反之亦然。作为另一个非限制性示例，第一用户和第二用户同时在控制血压，且第一用户的第一分析数据和第二用户的第二分析数据均达到了理想的血压下降率，则认为不但第一分析数据对第二用户存在借鉴价值，第二分析数据 对第一用户也存在借鉴价值，可生成第一推送信息发送给第一用户和第二用户。
本公开一个实施例中，与对比结果相关的第一推送信息可以包括第一分析数据和第二分析数据的对比情况、相关的推荐信息等。该推荐信息可以包括第一用户和第二用户中分析数据较理想的一个用户采用的健康相关方法的信息，如饮食方法、健身方法/机构信息、音乐或香氛法、心理健康课程，等等，并且第一推送信息推送给第一用户和第二用户中的一个用户。
本公开一个实施例中，用户可以通过终端设备APP来记录自己所使用的健康相关方法，服务端可以在用户账户数据中提取到用户在预定时段内所使用的健康相关方法信息；或者，服务端可以向第一用户和第二用户中分析数据较理想的一个用户请求该用户提交其在预定时段中采用的健康相关方法的信息，以便通过第一推送信息发送给第一用户和第二用户中的另一用户。
通过本公开实施例的信息处理方法，能够基于第一用户和与第一用户关联的第二用户之间生理检测数据的比较和分析进行互动，根据健康指数优异的一个用户的数据，智能化地为另一用户提供包括提升健康指数相关方法的推送信息，实现了用户健康指数的协同提升，有助于提高全民体质。
图2为本公开的信息处理方法的再一个实施例的示意性流程图。
如图2所示，本公开实施例的信息处理方法包括：
S110、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；
S120、根据第一用户的操作记录确定与第一用户关联的第二用户，根据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；
S130、判断第一分析数据和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。
本公开实施例中S110、S130与图1所示实施例中的S10、S30类似，在此省略具体说明。
在本公开实施例中，在步骤S120中，第一用户的操作记录可以为向服务端提交的第一用户的基本信息，也可以为第一用户通过终端设备APP浏览作为好友的其他用户的生理检测数据，还可以为第一用户将联系人添加为APP好友的操作记录。
第一用户向服务端提交的第一用户的基本信息可以包括性别、年龄、地域、爱好等信息，服务端可以将与第一用户的上述信息中的一项或几项相同或者相似的其他用户作为与第一用户关联的第二用户，或者第一用户可以指示服务端将在第一用户所指定的一项或几项信息上相近的其他用户作为第二用户。
第一用户在终端设备APP中可以浏览其他用户的生理检测数据，服务端根据第一用户的历史浏览记录，可以将历史浏览记录中涉及的其他用户作为与第一用户关联的第二用户。除此之外，服务端也可以对历史浏览记录中涉及到的其他用户进行筛选，例如根据系统或用户设定的浏览次数、频率进行筛选，将满足浏览次数、频率的其他用户作为与第一用户关联的第二用户。
第一用户可以在终端设备APP中看到系统向第一用户推荐的候选好友信息，当推荐的候选好友中有第一用户的终端设备内存储的联系人信息时，第一用户可以在APP中进行操作，将该联系人添加为APP好友。服务端可以根据第一用户的该操作记录，直接将被添加为APP好友的该用户作为与第一用户关联的第二用户。
此外，第一用户可能只想与特定的用户进行生理数据比较，例如与自己情况相似的一些用户，则第一用户可通过终端设备APP或网页等将这些用户之一或全部设定为与第一用户关联的第二用户。如第一用户是司机，则将工作时间段与自己相近的一司机好友设定为第二用户，这样当第二用户的分析数据较理想时，第二用户采用的健康相关方法对第一用户具有较高的借鉴价值。
作为非限制性的一个示例，第一用户正在减肥，并在第一预定时段(一个月/一星期)持续检测了体重数据，通过第一用户的APP朋友圈历史浏览记录能够获取3个月内第一用户查看的用户1-用户n的体重检测数据符合系统或用户设定的浏览次数、频率，则将用户1-用户n均作为第二用户。根据判断，确认用户2的体重变化率为用户1-用户n中最优的且优于第一用户，则可以生成第一推送信息并推送给第一用户，第一推送信息的内容可以为“用户XX在本月/星期体重下降出现历史最大/健身效果最好，快去取取经吧”或者“你的朋友用户XX通过n周的YY法健身，在本周内体重下降了m公斤，达到历史最佳水平，而你的体重情况是……，快去取取经吧～/继续加油哦～”。
在本公开一个实施例中，判断第一分析数据和第二分析数据的对比结果是否满足第一条件，可以是判断该对比结果是否符合第一阈值条件。判断对比结果是否符合第一阈值条件例如但不限于，判断第一分析数据和第二分析数据两者的差值是否落在预定的阈值范围内，或者第一分析结果对应的生理健康指数与预定阈值之差和第二分析结果对应的生理健康指数与该预定阈值之差之间的差值是否落在预定的阈值范围内，等等。以体重检测数据为例，此时生理健康指数可以为体重变化率，可以根据第二分析结果中的第二用户的体重变化率(如体重降低速度)与第一分析结果中的第一用户的体重变化率(如体重降低速度)进行对比，如果第二用户的体重变化率与第一用户的体重变化率之差落在一定的阈值范围内，例如在第一用户的提出变化率的5％内，则判定为符合第一条件。
图3为本公开的信息处理方法的再一个实施例的示意性流程图。
如图3所示，本公开实施例的信息处理方法包括：
S210、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；
S220、根据与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；
S230、判断第一分析数据和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；
S240、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。
本公开实施例中S210-S230与图1所示实施例的S10-S30类似，在此省略具体说明。
在本公开实施例中，步骤S240中生成的与第一分析数据相关的第二推送信息可以包括根据第一分析数据确定的第一用户的当前健康状况和根据当前健康状况提出的医疗建议、以及与医疗建议相关的医疗机构信息等。与医疗建议相关的医疗机构信息可以包括与提出的医疗建议相关的医疗机构名称、医疗机构地址或地理位置、当前就诊信息和擅长专业信息等。
作为非限制性的一个示例，当第一用户检测的数据为血压检测数据，并分析出第一预定时段内与血压相关的第一分析数据后，能够根据第一分析数据确定第一用户的当前血压状况和医疗建议。该当前血压状况和医疗建议可 以是由服务器根据通过深度学习后获得的模型确定的，也可以是由任一医疗机构的医生确定的。
作为非限制性的再一个示例，若当前血压状况和医疗建议是由服务器根据通过深度学习后获得的模型确定的，与提出的医疗建议相关的医疗机构可以包括：能够基于当前血压状况和医疗建议实施较佳诊治的医疗机构。在第二推送信息中可以按照医疗机构诊治该问题的专业程度、与第一用户的距离、医疗机构的等级等进行排序。
作为非限制性的再一个示例，若当前血压状况和医疗建议是由任一医疗机构的医生确定的，与提出的医疗建议相关的医疗机构可以包括：提出当前血压状况和医疗建议的医疗机构和能够基于当前血压状况和医疗建议实施较佳诊治的医疗机构。此时，可以将提出当前血压状况和医疗建议的医疗机构排列于第一位，并且提示第一用户当前血压状况和医疗建议是由该医疗机构提出的。其他能够对当前血压状况和医疗建议实施诊治的医疗机构可以按照医疗机构诊治该问题的专业程度、与第一用户的距离、医疗机构的等级等进行排序。
通过本公开的信息处理方法，能够实现多个用户之间的与生理检测数据相关的信息的共享及分析，提高了信息处理方法的智能性以及用户的使用体验。
图4为本公开的信息处理系统的一个实施例的示意性框图。
如图4所示，本公开还提供了一种信息处理系统，包括至少一个服务器10，服务器10包括：
第一分析单元11，其配置为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；
第二分析单元12，其配置为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；
第一推送单元13，其配置为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。
在本公开实施例中，第一预定时段与第二预定时段可以为自然时段，例如以起止日期限定的一个月、一周等。第一预定时段与第二预定时段可以是同一时段，也可以是长度相同的不同时段，以便于直观地对比第一分析数据 和第二分析数据。第一预定时段与第二预定时段还可以是长度不同的时段，例如当第一预定时段为比第二预定时段长时，如果第一预定时段包含第二预定时段，可以在得到第一分析数据和第二分析数据后，将第一分析数据中与第二分析数据的时段对应的部分进行比较。
在本公开实施例中，第一预定时段与第二预定时段还可以是以时间长度限定的时段，第一预定时段与第二预定时段可以是时间长度相同的时段，如任意起止日期的一个月或一周等。
在本公开实施例中，第一分析单元11生成的第一分析数据可以为根据第一预定时段内的第一生理检测数据中的一种生理数据进行分析获得的该生理数据对应生理体征的分析数据，也可以为根据第一预定时段内的第一生理检测数据中的多种生理数据进行分析后获得的一种表征整体健康状态的分析数据。其中，分析数据可以包括文字、图表和/或曲线图。对于第二分析单元12生成的第二用户的第二预定时段内的第二生理检测数据的分析方式与对第一用户的第一预定时段内的第一生理检测数据的分析方式类似，在此省略具体说明。
在本公开实施例中，第一推送单元13在判断第一分析数据和第二分析数据的对比结果是否满足第一条件时，可以判断第一分析数据是否对第二用户存在借鉴价值，或者第二分析数据是否对第一用户存在借鉴价值。例如，第一用户正在控制血压，并设定了目标血压值，或者系统设置了理想血压值，当存在第二用户的第二分析数据达到了第一用户期望的血压下降率而第一用户自身未能达到期望的血压下降率时，认为第二分析数据对第一用户存在借鉴价值，判断比对结果满足第一条件。
本公开一个实施例中，第一推送单元13生成的与对比结果相关的第一推送信息可以包括第一分析数据和第二分析数据的对比情况、相关的推荐信息等。该推荐信息可以包括第一用户和第二用户中分析数据较理想的一个用户采用的健康相关方法的信息，如饮食方法、健身方法/机构信息、音乐或香氛法、心理健康课程，等等，并且第一推送信息推送给第一用户和第二用户中的一个用户。
本公开一个实施例中，用户可以记录自己所使用的健康相关方法，服务器10可以在用户账户数据中提取到用户在预定时段内所使用的健康相关方法信息；或者，服务端10可以向第一用户和第二用户中分析数据较理想的一 个用户请求该用户提交其在预定时段中采用的健康相关方法的信息，以便通过第一推送信息发送给第一用户和第二用户中的另一用户。
通过本公开实施例的信息处理系统，能够基于第一用户和与第一用户关联的第二用户之间生理检测数据的比较和分析进行互动，根据健康指数优异的一个用户的数据，智能化地为另一用户提供包括提升健康指数相关方法的推送信息，实现了用户健康指数的协同提升，有助于提高全民体质。
在本公开实施例中，服务器10可以为云服务器或物理服务器。当服务器20为云服务器时，信息处理系统还可以包括用于对数据进行存储的存储器和用于显示云服务器的分析内容的显示终端。当服务器10为物理服务器时，物理服务器包括用于对数据进行存储的存储模块和用于显示物理服务器的分析内容的显示模块。
图5为本公开的信息处理系统的另一个实施例的示意性框图。
如图5所示，在本公开另一个实施例中，信息处理系统的服务器10还包括：
第二推送单元14，其配置为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。
其中，第二推送单元14生成的与第一分析数据相关的第二推送信息可以包括根据第一分析数据确定的第一用户的当前健康状况和根据当前健康状况提出的医疗建议、以及与医疗建议相关的医疗机构信息。与医疗建议相关的医疗机构信息可以包括与提出的医疗建议相关的医疗机构名称、医疗机构地址或地理位置、当前就诊信息和擅长专业信息等。
图6为本公开的信息处理系统的再一个实施例的示意性框图。
如图6所示，在本公开再一个实施例中，信息处理系统的服务器10还包括：
确定单元15，其配置为根据第一用户的操作记录确定第二用户。
在本公开实施例中，第一用户的操作记录可以为向服务器10提交的第一用户的基本信息，也可以为第一用户浏览作为好友的其他用户的生理检测数据，还可以为第一用户将联系人添加为好友的操作记录。
第一用户向服务器10提交的第一用户的基本信息可以包括性别、年龄、地域、爱好等信息，确定单元15可以将与第一用户的上述信息中的一项或几项相同或者相似的其他用户作为与第一用户关联的第二用户，或者第一用户 可以指示确定单元15将在第一用户所指定的一项或几项信息上相近的其他用户作为第二用户。
第一用户还可以浏览其他用户的生理检测数据，确定单元15根据第一用户的历史浏览记录，可以将历史浏览记录中涉及的其他用户作为与第一用户关联的第二用户。除此之外，确定单元15也可以对历史浏览记录中涉及到的其他用户进行筛选，例如根据系统或用户设定的浏览次数、频率进行筛选，将满足浏览次数、频率的其他用户作为与第一用户关联的第二用户。
第一用户还可以看到系统向第一用户推荐的候选好友信息，当推荐的候选好友中有第一用户存储的联系人信息时，第一用户可以将该联系人添加为好友。确定单元15可以根据第一用户的该操作记录，直接将被添加好友的该用户作为与第一用户关联的第二用户。
在本公开实施例中，第一推送单元配置为判断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。判断对比结果是否符合第一阈值条件例如但不限于，判断第一分析数据和第二分析数据两者的差值是否落在预定的阈值范围内，或者第一分析结果对应的生理健康指数与预定阈值之差和第二分析结果对应的生理健康指数与该预定阈值之差之间的差值是否落在预定的阈值范围内，等等。以体重检测数据为例，此时生理健康指数可以为体重变化率，可以根据第二分析结果中的第二用户的体重变化率(如体重降低速度)与第一分析结果中的第一用户的体重变化率(如体重降低速度)进行对比，如果第二用户的体重变化率与第一用户的体重变化率之差落在一定的阈值范围内，则判定为符合第一条件。
图7为本公开的信息处理系统的一个实施例的示意性框图；
如图7所示，本公开的信息处理系统包括服务器10和至少一个终端设备20该终端设备20包括：
接口210，其配置为接收第一推送信息；和/或
发送与第一推送信息相关的共享信息。
在本公开实施例中，第一用户或第二用户在通过任意检测设备测得生理检测数据后，可以通过登录终端设备上的APP来登录到服务器10，将测得的生理检测数据上传到服务器10上进行存储。服务器10在经过分析第一用户 和第二用户的生理检测数据后如生成第一推送信息，则可以推送到第一用户和第二用户中的至少一个的终端设备APP上供用户及时查阅。
在本公开另一实施例中，终端设备20还可以包括身份识别单元，用于获取当前操作体输入的验证信息，通过APP将获取的验证信息发送至服务器10，由服务器10将验证信息与预存的预设信息对比来确认操作体的身份。
具体地，检测设备30中的身份识别单元可以为纹识别录入器、人脸识别器或者键盘/触摸屏，用于获取当前操作体输入的验证信息。其中，当前操作体输入的验证信息可以为由指纹识别录入器采集的指纹信息和/或人脸识别器采集的人脸图像信息和/或键盘、触摸屏采集的字符串信息。对应的，服务器10预存的预设信息可以为指纹、人脸图像或字符串。
在本公开另一实施例中，第一用户或第二用户在需要通过检测设备进行检测时，可以将终端设备APP通过局域网等连接到检测设备，接口210还配置为接收第一用户或第二用户当前通过检测设备测得的生理检测数据，将测得的生理检测数据通过终端设备上传至服务器10。
在本公开一个实施例中，接口210还可以配置为接收服务器10先前存储的用户的历史检测数据。
在本公开另一实施例中，接口210还可以配置为使得第一用户与第二用户可以进行沟通和交流。例如，第一用户可以将与第一推送信息相关的共享信息发送给第二用户，并与第二用户进行即时通讯交流，以向第二用户学习或传授如何提高健康指数的方法。
在本公开另一实施例中，该终端设备20还包括显示器220，用于显示所接收的第一推送信息和/或所述共享信息。
在本公开实施例中，终端设备20可以为手机、笔记本电脑、平板电脑等智能终端。
图8为本公开的信息处理系统的另一个实施例的示意性框图。
如图8所示，本公开的信息处理系统包括服务器10、至少一个安装在终端设备20中的应用，还包括至少一个检测设备30，检测设备30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生成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服务器。
在本公开实施例中，检测设备可以包括共享MTX设备、体重称重设备和心率测量设备，用于检测生理检测数据中的血压、血氧、脉搏、心率、体重的一种或者多种。检测设备检测的生理检测数据可以为血压、血氧、脉搏、心率、体重等生理体征参数中的一种或者多种。用户在检测设备30上做生理体征参数检测时，可以由该检测设备30将测得的该用户的生理检测数据通过收发机发送至服务器10。
在本公开实施例中，为了判断当前操作体是否为第一用户或第二用户，从而确定需要对哪个用户的生理检测数据进行分析，检测设备30可以包括身份识别单元。检测设备30可以获取当前操作体输入的验证信息，将验证信息与预存的预设信息对比，或者将获取的验证信息发送至服务器10，由服务器10将验证信息与预存的预设信息对比来确认操作体的身份。
具体地，检测设备30中的身份识别单元可以为纹识别录入器、人脸识别器或者键盘/触摸屏，用于获取当前操作体输入的验证信息。其中，当前操作体输入的验证信息可以为由指纹识别录入器采集的指纹信息和/或人脸识别器采集的人脸图像信息和/或键盘、触摸屏采集的字符串信息。对应的，服务器10预存的预设信息可以为指纹、人脸图像或字符串。
若服务器10判断验证信息与预存的第一用户的预设信息对比结果为一致，即可确定当前操作体是第一用户，则服务器10可以接收对第一用户当前测得的生理检测数据并与服务器10先前存储的第一用户的历史检测数据存储在一起；若验证信息与预存的任何预设信息对比结果为不一致，则确定当前操作体是未注册用户，可以提示用户建立用户账号来存储生理检测数据。
在本公开实施例中，服务器10在经过分析检测设备30测得并上传的第一用户和第二用户的生理检测数据后如生成第一推送信息，可以推送到第一用户和第二用户中的至少一个的终端设备APP上供用户及时查阅。
图9为本公开的信息处理系统的实施例中检测设备的显示界面的示意图。
在本公开又一实施例中，信息处理系统还可以由服务器10和至少一个检测设备30构成，服务器10将第一推送信息发送至检测设备30。检测设备30可以配备有显示器330，其配置为当检测设备30接收到第一用户或第二用户的生理检测数据和/或第一推送信息后，可以按照预定形式将生理检测数据和第一推送信息进行显示。
如图9所示，显示器330包括显示界面40，显示界面40可以按照预定方式进行显示。显示界面40内可以包括第一推送信息子界面41、纵向分析子界面42、第二推送信息子界面43、地图子界面44和身份识别部45。具体地，第一推送信息子界面41可以显示包括例如第一分析数据和第二分析数据的对比结果、对比曲线图等的第一推送信息。纵向分析子界面42可以显示第一分析数据对应的曲线图。第二推送信息子界面43可以包括第二推送信息。地图子界面44可以包括带有提供第二推送信息的医疗机构地址的地图和带有当前定位地址附近的医疗机构地址的地图。
其中，地图子界面44上还可以设置调节/显示切换按钮，显示切换按钮用于对地图子界面44进行切换显示，将显示地图切换为显示地图内显示的医疗机构的医疗机构信息。调节按钮用于对地图位置进行放大或缩小，以及对地图显示的地理位置进行调节。
图10为根据本公开的服务器的一个实施例的示意性框图。服务器100具有处理电路110。在一些实施例中，处理电路可包括存储器112和处理器114。处理电路可以被配置为执行本公开描述的一个或多个功能。除了传统的处理器和存储器之外，处理电路110可以包括用于处理和/或控制的集成电路，例如一个或多个处理器和/或处理器内核和/或FPGA(现场可编程门阵列)和/或ASIC(专用集成电路)。
处理电路110可以包括和/或连接到和/或被配置为访问(例如，写入和/或读取)存储器112，存储器112可以包括任何类型的易失性和/或非易失性存储器，例如高速缓存和/或缓冲存储器和/或RAM(随机存取存储器)和/或ROM(只读存储器)和/或光存储器和/或EPROM(可擦除可编程只读存储器)。这种存储器112可以被配置为存储可由处理器114执行的计算机程序代码和/或其它数据，例如第一生理检测数据、第二生理检测数据、第一分析数据和第二分析数据等。处理电路110可以被配置为控制本公开所述的任何方法和/或使得这样的方法被例如处理器114执行。相应的计算机程序代码可以存储在存储器112中，存储器112可以是可读的和/或可读地连接到处理电路110。换句话说，处理电路110可以包括控制器，该控制器可以包括微处理器和/或微控制器和/或FPGA(现场可编程门阵列)器件和/或ASIC(专用集成电路)器件。可以认为，处理电路110包括或可以连接到或能够连接到存储器，所述存储器可以被适配为可被控制器和/或处理电路110访问以进行读取和/或写入。
根据本公开的一个实施例，处理器114可执行存储器112中存储的计算机程序代码以：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。
根据本公开的另一个实施例，处理器114可执行存储器112中存储的计算机程序代码以：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。
根据本公开的另一个实施例，处理器114可执行存储器112中存储的计算机程序代码以：根据所述第一用户的操作记录确定所述第二用户。
根据本公开的另一个实施例，处理器114可执行存储器112中存储的计算机程序代码以：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至少一个。
如本领域技术人员所意识到的：本文描述的构思可以体现为方法、信息处理系统和/或计算机程序产品。从而，本文描述的构思可采取全硬件实施例、全软件实施例或组合了软硬件方面的实施例的形式，它们在本文中都统称为“电路”或“模块”。此外，本公开可以采取有形计算机可读存储介质上的计算机程序产品的形式，该计算机可读存储介质具有包含在介质中的可由计算机执行的计算机程序代码。可以利用任何合适的有形计算机可读存储介质，包括硬盘、CD-ROM、电存储设备、光存储设备或磁存储设备。
本文参考方法和系统的流程图和/或框图来描述一些实施例。应当理解，流程图示例和/或框图中的每一个框、以及流程图示例和/或框图中的多个框的组合可以通过计算机程序指令来实现。这些计算机程序指令可以提供给通用计算机的处理器(从而创建专用计算机)、专用计算机或用来产生机器的其他可编程信息处理装置，使得该指令(经由计算机的处理器或其他可编程信息处理装置执行)创建用来实现流程图和/或框图中指定的功能/动作的装置。
这些计算机程序指令也可以存储在指导计算机或其他可编程信息处理装置以特定方式运行的计算机可读存储器或存储介质中，使得计算机可读存储器中存储的指令装置生成包括实现流程图和/或框图一个或多个方框中指 定的功能/动作的指令的制品。
计算机程序指令也可以装载在计算机或其他可编程信息处理装置中，使一系列可操作步骤在计算机或其他可编程装置上执行以生成计算机实现的处理，使得在计算机或其他可编程装置上执行的指令提供用于实现流程图和/或框图一个或多个方框中指定的功能/动作的步骤。
以上，仅为本公开的示意性描述，本领域技术人员应该知道，在不偏离本公开的工作原理的基础上，可以对本公开作出多种改进，这均属于本公开的保护范围。

Claims (12)

  1. 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。
  2. 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。
  3. 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。
  4. 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。
  5. 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。
  6. 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。
  7. 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。
  8. 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。
  9. 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。
  10. 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。
  11. 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。
  12. 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。
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