CN114023450A - Health management system - Google Patents

Health management system Download PDF

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CN114023450A
CN114023450A CN202111310430.XA CN202111310430A CN114023450A CN 114023450 A CN114023450 A CN 114023450A CN 202111310430 A CN202111310430 A CN 202111310430A CN 114023450 A CN114023450 A CN 114023450A
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physiological parameter
parameter information
display
management system
health management
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朱安奇
李喆
戚天麟
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Omron Healthcare China Co ltd
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Omron Healthcare China Co ltd
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    • GPHYSICS
    • G16INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
    • G16HHEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA
    • G16H50/00ICT specially adapted for medical diagnosis, medical simulation or medical data mining; ICT specially adapted for detecting, monitoring or modelling epidemics or pandemics
    • G16H50/30ICT 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
    • GPHYSICS
    • G16INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
    • G16YINFORMATION AND COMMUNICATION TECHNOLOGY SPECIALLY ADAPTED FOR THE INTERNET OF THINGS [IoT]
    • G16Y10/00Economic sectors
    • G16Y10/60Healthcare; Welfare
    • GPHYSICS
    • G16INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
    • G16YINFORMATION AND COMMUNICATION TECHNOLOGY SPECIALLY ADAPTED FOR THE INTERNET OF THINGS [IoT]
    • G16Y20/00Information sensed or collected by the things
    • G16Y20/40Information sensed or collected by the things relating to personal data, e.g. biometric data, records or preferences
    • GPHYSICS
    • G16INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
    • G16YINFORMATION AND COMMUNICATION TECHNOLOGY SPECIALLY ADAPTED FOR THE INTERNET OF THINGS [IoT]
    • G16Y40/00IoT characterised by the purpose of the information processing
    • G16Y40/20Analytics; Diagnosis

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  • Health & Medical Sciences (AREA)
  • General Health & Medical Sciences (AREA)
  • Medical Informatics (AREA)
  • Computing Systems (AREA)
  • Public Health (AREA)
  • Epidemiology (AREA)
  • Primary Health Care (AREA)
  • Biomedical Technology (AREA)
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  • Pathology (AREA)
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  • Measuring And Recording Apparatus For Diagnosis (AREA)
  • Medical Treatment And Welfare Office Work (AREA)

Abstract

The present application provides a health management system having a first module comprising: a first recording unit that records first data relating to one lifestyle habit of a user for a first predetermined period of time, wherein a kind of the one lifestyle habit is kept fixed for the first predetermined period of time; the second recording unit is used for recording the physiological parameter information in the first preset time period; and a first calculating unit, which calculates the influence factor of the life habit on the physiological parameter information according to the first data recorded by the first recording unit and the physiological parameter information recorded by the second recording unit. According to the method and the device, the relation between the single living habits and the physiological parameters can be accurately analyzed, so that the interference of data changes of other living habits on the analysis result is avoided.

Description

Health management system
Technical Field
The present application relates to the field of information technology, and in particular, to a health management system.
Background
With the improvement of living standard, the requirement of people on health management is higher and higher. In order to improve the fitness level, a physiological parameter of the user needs to be monitored daily.
Physiological parameters that the physiological parameter monitoring device can monitor include, for example: blood pressure, pulse, heart rate, blood glucose, etc.
The physiological parameter detecting device can record the physiological parameters of the user in a period of time, and display the physiological parameters in the period of time on the display in the form of graphs such as curves, broken lines or bar charts. Wherein, the display can be the display screen of the physiological parameter detection device; alternatively, the display may be provided separately from the physiological parameter detecting device, and the physiological parameter detecting device sends the physiological parameter in the period of time to the display for displaying.
It should be noted that the above background description is only for the convenience of clear and complete description of the technical solutions of the present application and for the understanding of those skilled in the art. Such solutions are not considered to be known to the person skilled in the art merely because they have been set forth in the background section of the present application.
Disclosure of Invention
With the increasing health consciousness, people want to know the influence of living habits on physiological parameters and want to lead people to live healthier by establishing good living habits.
The inventor of the application finds that data of various living habits are collected within a period of time, and because different living habits may influence physiological parameters and the data of various living habits are in a change state, the influence of a certain living habit on the physiological parameters alone cannot be accurately analyzed, and then a user cannot be effectively guided to establish a good living habit suitable for self body conditions.
In order to solve at least the above technical problems or similar technical problems, embodiments of the present application provide a health management system, which can accurately analyze a relationship between a single lifestyle habit and a physiological parameter, so as to avoid interference of data changes of other lifestyle habits on an analysis result.
According to an aspect of an embodiment of the present application, there is provided a health management system having a first module including:
a first recording unit that records first data relating to one lifestyle habit of a user for a first predetermined period of time, wherein a kind of the one lifestyle habit is kept fixed for the first predetermined period of time;
the second recording unit is used for recording the physiological parameter information in the first preset time period; and
and the first calculating unit is used for calculating the influence factor of the life habit on the physiological parameter information according to the first data recorded by the first recording unit and the physiological parameter information recorded by the second recording unit.
According to another aspect of the embodiment of the application, the first calculating unit extracts data meeting a first predetermined condition from the first data, compares physiological parameter information corresponding to the data meeting the first predetermined condition with physiological parameter information before the first predetermined time period, and calculates an influence factor of the lifestyle habit on the physiological parameter information according to a result of the comparison
According to another aspect of the embodiments of the present application, wherein the first module further comprises:
a switching unit for switching the kind of the one lifestyle habit.
According to another aspect of the embodiments of the present application, wherein the first module further comprises:
a prompting unit that transmits first reference information in a case where the first data does not meet a first predetermined condition or the first recording unit does not receive the first data,
wherein the first reference information includes: and the words, the pictures or the videos are used for explaining the relationship between the living habits and the physiological parameters.
According to another aspect of the embodiments of the present application, wherein the first module further comprises:
and a first report generation unit configured to generate a first report of the influence factors of the plurality of living habits and the physiological parameter information, for the influence factor of each living habit of the plurality of living habits on the physiological parameter information.
According to another aspect of an embodiment of the present application, wherein the health management system further comprises a second module,
the second module includes:
a judging unit that judges whether the physiological parameter information collected by the second recording unit in a second predetermined period of time satisfies a second predetermined condition;
a first processing unit that changes a first display parameter in a case where the second predetermined condition is satisfied,
the first display parameter is used for controlling the number and/or the icon displayed by the display.
According to another aspect of the embodiments of the present application, wherein the second module further comprises:
and the second report generating unit analyzes the physiological parameter information which is collected by the second recording unit in the second preset time period and meets a second preset condition, and generates a second report reflecting the change trend of the physiological parameter information in the second preset time period.
According to another aspect of the embodiments of the present application, wherein the first processing unit causes the display to display a predetermined pattern and/or causes the display to display second reference information in a case where the second predetermined condition is not satisfied,
the second reference information includes: text, pictures or video relating to continuously measuring physiological parameters.
According to another aspect of the embodiments of the present application, wherein the health management system further comprises a third module comprising:
a display control unit that controls a display to display a lifestyle habit, and controls the display to display a lifestyle habit corresponding to a selection operation based on the selection operation for selecting the lifestyle habit;
and the second processing unit analyzes the change condition of the physiological parameter information recorded by the second recording unit in a third predetermined time period.
According to another aspect of the embodiments of the present application, wherein the third module further comprises:
a third processing unit which calculates the difference between the latest physiological parameter information recorded by the second recording unit and preset target physiological parameter information,
the display control unit controls a display to display the difference calculated by the third processing unit.
The beneficial effects of the embodiment of the application are that: the first module of the health management system only records data of a fixed type of living habits in a period of time, and then analyzes the influence of the type of living habits on physiological parameters, so that a user can be guided to accurately analyze the relation between the single living habits and the physiological parameters, and the interference of data changes of other living habits on analysis results is avoided.
Specific embodiments of the present application are disclosed in detail with reference to the following description and drawings, indicating the manner in which the principles of the application may be employed. It should be understood that the embodiments of the present application are not so limited in scope. The embodiments of the present application include many variations, modifications, and equivalents within the scope of the terms of the appended claims.
Features that are described and/or illustrated with respect to one embodiment may be used in the same way or in a similar way in one or more other embodiments, in combination with or instead of the features of the other embodiments.
It should be emphasized that the term "comprises/comprising" when used herein, is taken to specify the presence of stated features, integers, steps or components but does not preclude the presence or addition of one or more other features, integers, steps or components.
Drawings
Elements and features described in one drawing or one implementation of an embodiment of the application may be combined with elements and features shown in one or more other drawings or implementations. Moreover, in the drawings, like reference numerals designate corresponding parts throughout the several views, and may be used to designate corresponding parts for use in more than one embodiment.
The accompanying drawings, which are included to provide a further understanding of the embodiments of the application, are incorporated in and constitute a part of this specification, illustrate embodiments of the application and together with the description serve to explain the principles of the application. It is obvious that the drawings in the following description are only some embodiments of the application, and that for a person skilled in the art, other drawings can be derived from them without inventive effort. In the drawings:
FIG. 1 is a schematic diagram of a health management system;
FIG. 2 is a schematic diagram of a first module;
FIG. 3 is a schematic illustration of a first report;
FIG. 4 is a schematic diagram of the workflow of the first module;
FIG. 5 is a schematic view of a second module;
fig. 6 is a schematic diagram of a third module.
Detailed Description
The foregoing and other features of the present application will become apparent from the following description, taken in conjunction with the accompanying drawings. In the description and drawings, particular embodiments of the application are disclosed in detail as being indicative of some of the embodiments in which the principles of the application may be employed, it being understood that the application is not limited to the described embodiments, but, on the contrary, is intended to cover all modifications, variations, and equivalents falling within the scope of the appended claims. Various embodiments of the present application will be described below with reference to the drawings. These embodiments are merely exemplary and are not intended to limit the present application.
In the embodiments of the present application, the terms "first", "second", and the like are used for distinguishing different elements by reference, but do not denote a spatial arrangement, a temporal order, or the like of the elements, and the elements should not be limited by the terms. The term "and/or" includes any and all combinations of one or more of the associated listed terms. The terms "comprising," "including," "having," and the like, refer to the presence of stated features, elements, components, and do not preclude the presence or addition of one or more other features, elements, components, and elements.
In the embodiments of the present application, the singular forms "a", "an", and the like include the plural forms and are to be construed broadly as "a" or "an" and not limited to the meaning of "a" or "an"; furthermore, the term "the" should be understood to include both the singular and the plural, unless the context clearly dictates otherwise. Further, the term "according to" should be understood as "at least partially according to … …," and the term "based on" should be understood as "based at least partially on … …," unless the context clearly dictates otherwise.
Example 1
Embodiment 1 of the present application provides a health management system.
FIG. 1 is a schematic diagram of a health management system. As shown in fig. 1, the health management system 1 may comprise a first module 11.
Fig. 2 is a schematic diagram of the first module 11. As shown in fig. 2, the first module 11 may include: a first recording unit 111, a second recording unit 112 and a first calculating unit 113.
In this embodiment, the first recording unit 111 may record first data related to one lifestyle habit of the user during a first predetermined period of time. During the first predetermined period of time, the category of the lifestyle habit remains fixed.
The types of living habits may be, for example: exercise, diet, sleep, drinking, taking medicine, etc. The first data relating to a lifestyle are for example: whether exercise is available, the amount of exercise, whether the diet is regular, whether the salt intake in the diet is normal, the sleep time, whether a drug (for example, a drug related to the treatment of chronic diseases such as hypertension, or other drugs) is taken, and the like.
The first predetermined period of time is, for example, one week, or one quarter, etc. The frequency with which the first recording unit 111 records the first data may be, for example, 1 time or 2 times or more per day.
The first recording unit 111 may acquire the first data from the input device and record. The input device may be a touch screen, a keyboard, a button, or the like, for example, the user may input the first data using the input device such as the touch screen, the keyboard, or the button. Further, the first data may be formed by detecting information such as the movement of the user using a sensor, and the first recording unit 111 may acquire the first data from the sensor and record the first data.
The second recording unit 112 records the physiological parameter information during a first predetermined time period. The physiological parameter information is, for example, the values of parameters such as blood pressure, blood glucose, pulse, heart rate, and the like.
Wherein the second recording unit 112 may obtain physiological parameter information from a detection device of a physiological parameter. For example, the second recording unit 112 obtains the blood pressure detected by the sphygmomanometer from the sphygmomanometer. In addition, the second recording unit 112 may also acquire and record the physiological parameter information from an input device, for example, a user inputs the physiological parameter information through the input device, and the physiological parameter information is recorded by the second recording unit 112.
The second recording unit 112 records the physiological parameter information frequently, for example, 1 or 2 times or more per day.
The first calculating unit 113 calculates an influence factor of the fixed one of the lifestyle habits on the physiological parameter information in the first predetermined time period according to the first data recorded by the first recording unit 111 and the physiological parameter information recorded by the second recording unit 112.
For example, the first recording unit 111 records first data related to smoking in a week, the second recording unit 112 continuously records (for example, records every day) information of blood pressure in the week, and the first calculating unit 113 calculates an influence factor of smoking on blood pressure, which is, for example, a numerical value, based on the first data related to smoking in the week and the information of blood pressure.
According to the embodiment, the first module 11 of the health management system records only one fixed type of living habits data in a period of time, and then analyzes the influence of the type of living habits on the physiological parameters, so that the user can be guided to accurately analyze the relation between the single living habits and the physiological parameters, and thus, the interference of the data change of other living habits on the analysis result is avoided.
In this embodiment, the specific method for the first calculating unit 113 to calculate the impact factor of a fixed lifestyle habit on the physiological parameter information may be:
s1, extracting data meeting a first preset condition in the first data;
s2, comparing the physiological parameter information corresponding to the data meeting the first preset condition with the physiological parameter information before the first preset time period, and calculating the influence factor of the life habit on the physiological parameter information according to the comparison result.
In S1, the data meeting the first predetermined condition may be: the first data is data relating to lifestyle habits conducive to improving physiological parameters. Further, the specific form of the first predetermined condition may vary depending on the kind of lifestyle habits. For example, the kind of lifestyle is "smoking", and if the first data of a certain day is "smoking", the first data is data that does not meet the first predetermined condition, and if the first data of a certain day is "no smoking", the first data is data that meets the first predetermined condition. For another example, the kind of lifestyle is "sleep condition", and if the first data of a certain day is "sufficient sleep", the first data is data that meets the first predetermined condition, and if the first data of a certain day is "insufficient sleep", the first data is data that does not meet the first predetermined condition.
The physiological parameter information corresponding to the data meeting the first preset condition corresponds to the physiological parameter information obtained by the user under the condition of intentionally improving the living habit; the physiological parameter information before the first predetermined time period corresponds to the physiological parameter information obtained without the user intentionally improving the one lifestyle habit. In S2, the physiological parameter information before and after the one lifestyle improvement is compared with each other, and the influence of the one lifestyle improvement on the physiological parameter information can be reflected.
In S2, the comparison may be performed by subtracting the maximum, minimum, or average of the physiological parameter information. For example, the physiological parameter information (e.g., blood pressure) corresponding to the first data meeting the first predetermined condition in one week is averaged, and the average value is subtracted from the average value of the physiological parameter information (e.g., blood pressure) before the week to obtain the comparison result.
In S2, the influence factor of the lifestyle habit on the physiological parameter information is calculated based on the comparison result, and the influence factor is formed by, for example, directly using the comparison result as the influence factor or performing a certain process on the comparison result.
As shown in fig. 2, the first module 11 further includes: a switching unit 114. The switching unit 114 is used for switching the kind of the one lifestyle habit. For example, after the first calculating unit 113 calculates the influence factor corresponding to one lifestyle habit (e.g., "smoking"), the switching unit 114 causes the display to display information of another lifestyle habit (e.g., "sleep") in response to a switching operation by the user. Therefore, the user can be guided to master the influence factors of the living habits on the physiological parameters item by item.
As shown in fig. 2, the first module 11 further includes: and a presentation unit 115. In the case where the first data recorded by the first recording unit 111 does not meet the first predetermined condition or the first recording unit 111 does not receive the first data, the prompting unit 115 transmits the first reference information. For example, in a first predetermined time period, for a lifestyle habit of "smoking", if the first data of a certain day is "smoking", or the first recording unit 111 does not receive information of "smoking" or "no smoking" (for example, the user forgets to input the first data) on a certain day, the prompting unit 115 sends the first reference information.
Wherein the first reference information includes: and the words, pictures or videos are used for explaining the relationship between the living habits and the physiological parameters. The first reference information may be displayed on a display. Therefore, the user can be prompted, so that the user is supervised to form a good living habit or is supervised to input the first data on time. The first reference information may be information retrieved over a network or information stored in advance in the health management system.
As shown in fig. 2, the first module 11 further includes: a first report generation unit 116. The first report generating unit 116 may generate a first report of the influence factors of the plurality of living habits and the physiological parameter information for the influence factors of each living habit of the plurality of living habits on the physiological parameter information.
Fig. 3 is a schematic diagram of a first report. As shown in fig. 3, the first report may be in the form of a radar map 300, wherein the influence factor of each lifestyle habit on the physiological parameter information may determine the length of the radius.
In addition, the present embodiment is not limited to this, and the first report may be in other forms, for example, in the form of a bar chart, a pie chart, or the like, or in the form of characters.
FIG. 4 is a schematic diagram of the workflow of the first module. As shown in fig. 1, the workflow of the first module may include the following operations:
operation 41, the user selects a lifestyle habit;
operation 42, acquiring and recording physiological parameter information;
operation 43, determining whether the first data meets the first predetermined condition, if yes, going to operation 44, and if no, going to operation 46, wherein, if no, both cases of "the first data does not meet the first predetermined condition" and "the first data is not received" are included;
operation 44, marking the physiological parameter information corresponding to the first data as improved data;
operation 45, analyzing the influence factor of the lifestyle habit on the physiological parameter information according to the improved data;
operation 46, marking the physiological parameter information corresponding to the first data as the non-improved data;
operation 47, transmitting the first reference information;
operation 48, generate a first report.
As shown in fig. 1, the health management system 1 may further include: a second module 12.
Fig. 5 is a schematic diagram of the second module 12. As shown in fig. 5, the second module 12 includes: a judging unit 121 and a first processing unit 122.
The judging unit 121 may judge whether the physiological parameter information collected by the second recording unit 112 during the second predetermined period of time satisfies the second predetermined condition. Wherein the lengths of the second predetermined period of time and the first predetermined period of time may be the same or different, and the starting points of the second predetermined period of time and the first predetermined period of time are different.
The second predetermined condition may be: the physiological parameter information is continuously recorded over a second predetermined period of time. The recording is continuous, e.g. every day for a second predetermined period of time.
The first processing unit 122 may change a first display parameter for controlling the numbers and/or icons displayed by the display in case the second predetermined condition is fulfilled. The first display parameter may, for example, control the display to display a credit value and/or control the display to display an icon representing a reward. Thereby, the user can be encouraged to keep recording the physiological parameter.
For example, when the physiological parameter information is continuously recorded for a second predetermined period of time, the point value displayed by the display may increase and/or an icon representing a reward may be displayed.
In the present embodiment, in the case where the second predetermined condition is not satisfied, the first processing unit 122 may cause the display to display a predetermined pattern and/or cause the display to display the second reference information. The second reference information includes: text, pictures or video relating to continuously measuring physiological parameters. Therefore, the user can be prompted, and the user is reminded to continuously record the physiological parameter information. The second reference information may be information retrieved on a network or information stored in advance in the health management system.
As shown in fig. 5, the second module 12 further includes: a second report generating unit 123.
The second report generating unit 123 analyzes the physiological parameter information meeting the second predetermined condition and collected by the second recording unit 112 in the second predetermined time period, and generates a second report reflecting a variation trend of the physiological parameter information in the second predetermined time period.
For example, the second report generating unit 123 may analyze blood pressure data continuously recorded for a second predetermined period of time, and generate an analysis report of the blood pressure data. Wherein, the analysis report of the blood pressure data may comprise: a blood pressure rating chart in which a blood pressure rating of a user can be determined based on a standard blood pressure of a peer; and/or a home office blood pressure chart, wherein a plurality of (e.g. 4) quadrant categories, such as privacy, persistence, normal and white overcoat, respectively, can be combined from the blood pressure data measured in the hospital office and home, and it is determined to which category the user's blood pressure belongs.
As shown in fig. 1, the health management system 1 further includes: a third module 13.
Fig. 6 is a schematic diagram of the third module 13. As shown in fig. 6, the third module 13 includes: a display control unit 131 and a second processing unit 132.
The display control unit 131 controls the display to display the lifestyle habits, and controls the display to display the lifestyle corresponding to the selection operation based on the selection operation for selecting the lifestyle. For example, the display control unit 131 causes the display to display lifestyle habits such as "smoking", "drinking", "exercising", "taking medicine", "sleeping", "stress", and when the user selects "smoking", the display displays "smoking". Thus, it is possible to prompt, via the display: the user wishes to improve a certain lifestyle to improve the physiological parameter information. Thereby supervising the user to improve certain living habits.
The second processing unit 132 may analyze a change of the physiological parameter information recorded by the second recording unit 112 in a third predetermined time period. Wherein the lengths of the third predetermined period of time and the first predetermined period of time may be the same or different, and the starting points of the third predetermined period of time and the first predetermined period of time are different. During the third predetermined period, the kind of the lifestyle habit selected by the user, which is displayed by the display control unit 131, may be kept fixed. Thus, the variation analyzed by the second processing unit 132 can represent: and improving the physiological parameter information by improving a lifestyle habit in a third predetermined time period. For example, by improving the habit of "smoking" (i.e., not smoking, or smoking less), the value of blood pressure can be reduced by as much as one month.
As shown in fig. 6, the third module 13 further includes: a third processing unit 133. The third processing unit 133 may calculate a difference between the latest physiological parameter information recorded by the second recording unit 112 and preset target physiological parameter information. The display control unit 131 may control the display to display the difference calculated by the third processing unit 133. This can display the effect of improving the physiological parameters by improving the lifestyle habits in a timely manner, thereby encouraging the user to continuously improve the lifestyle.
The third module 13 may also send or cause the display to display third reference information. The third reference information includes: information relating to the lifestyle selected by the user.
According to the health management system of embodiment 1 of the application, the first module can accurately analyze the influence of each living habit on the physiological parameters, the second module can help the user to establish the habit of continuously detecting the physiological parameters, and the third module can help the user to continuously improve the living habits.
The three modules of the health management system can be mutually matched to help a user gradually form good physiological parameter daily detection habits and good living habits in stages, so that the physiological parameters of the user are improved, and the health management level of the user is improved. For example: in the primary stage, the second module can help the user develop a habit of continuously detecting and recording the physiological parameters and provide corresponding knowledge to the user; in the middle stage, the first module can help the user to master the influence factors of each living habit on the physiological parameters of the user one by one, so that a reasonable living habit improvement plan suitable for the characteristics of the user can be specified; in the advanced stage, the user can concentrate on improving the living habits one by one, the third module can remind the user to continuously improve the living habits, and the improvement result of the physiological parameters brought by the improvement of the living habits is timely fed back to the user, so that the user is encouraged to continue to improve the living habits.
The modules in the health management system described in connection with the embodiments of the invention may be embodied directly in hardware, in a software module executed by a processor, or in a combination of the two. These hardware modules may be implemented, for example, by solidifying these software modules using a Field Programmable Gate Array (FPGA).
A software module may reside in RAM memory, flash memory, ROM memory, EPROM memory, EEPROM memory, registers, hard disk, a removable disk, a CD-ROM, or any other form of storage medium known in the art. A storage medium may be coupled to the processor such that the processor can read information from, and write information to, the storage medium; or the storage medium may be integral to the processor. The processor and the storage medium may reside in an ASIC. The software module may be stored in the memory of the mobile terminal or in a memory card that is insertable into the mobile terminal. For example, if the electronic device employs a MEGA-SIM card with a larger capacity or a flash memory device with a larger capacity, the software module may be stored in the MEGA-SIM card or the flash memory device with a larger capacity.
The modules in the health management system described with respect to the present embodiment may be implemented as a general purpose processor, a Digital Signal Processor (DSP), an Application Specific Integrated Circuit (ASIC), a Field Programmable Gate Array (FPGA) or other programmable logic device, discrete gate or transistor logic, discrete hardware components, or any suitable combination thereof, for performing the functions described herein. A combination of computing devices may also be implemented, e.g., a combination of a DSP and a microprocessor, a plurality of microprocessors, one or more microprocessors in conjunction with a DSP communication, or any other such configuration.
The present application has been described in conjunction with specific embodiments, but it should be understood by those skilled in the art that these descriptions are intended to be illustrative, and not limiting. Various modifications and adaptations of the present application may occur to those skilled in the art based on the spirit and principles of the application and are within the scope of the application.

Claims (10)

1. A health management system having a first module, characterized in that,
the first module includes:
a first recording unit that records first data relating to one lifestyle habit of a user for a first predetermined period of time, wherein a kind of the one lifestyle habit is kept fixed for the first predetermined period of time;
the second recording unit is used for recording the physiological parameter information in the first preset time period; and
and the first calculating unit is used for calculating the influence factor of the life habit on the physiological parameter information according to the first data recorded by the first recording unit and the physiological parameter information recorded by the second recording unit.
2. The health management system of claim 1,
the first calculation unit extracts data meeting a first preset condition in the first data, compares physiological parameter information corresponding to the data meeting the first preset condition with physiological parameter information before the first preset time period, and calculates an influence factor of the lifestyle habit on the physiological parameter information according to a comparison result.
3. The health management system of claim 1,
the first module further comprises:
a switching unit for switching the kind of the one lifestyle habit.
4. The health management system of claim 1,
the first module further comprises:
a prompting unit that transmits first reference information in a case where the first data does not meet a first predetermined condition or the first recording unit does not receive the first data,
wherein the first reference information includes: and the words, the pictures or the videos are used for explaining the relationship between the living habits and the physiological parameters.
5. The health management system of claim 1,
the first module further comprises:
and a first report generation unit configured to generate a first report of the influence factors of the plurality of living habits and the physiological parameter information, for the influence factor of each living habit of the plurality of living habits on the physiological parameter information.
6. The health management system of claim 1,
the health management system further comprises a second module,
the second module includes:
a judging unit that judges whether the physiological parameter information collected by the second recording unit in a second predetermined period of time satisfies a second predetermined condition;
a first processing unit that changes a first display parameter in a case where the second predetermined condition is satisfied,
the first display parameter is used for controlling the number and/or the icon displayed by the display.
7. The health management system of claim 6,
the second module further comprises:
and the second report generating unit analyzes the physiological parameter information which is collected by the second recording unit in the second preset time period and meets a second preset condition, and generates a second report reflecting the change trend of the physiological parameter information in the second preset time period.
8. The health management system of claim 6,
in case the second predetermined condition is not met, the first processing unit causes the display to display a predetermined pattern, and/or, causes the display to display second reference information,
the second reference information includes: text, pictures or video relating to continuously measuring physiological parameters.
9. The health management system of claim 1,
the health management system further comprises a third module,
the third module includes:
a display control unit that controls a display to display a lifestyle habit, and controls the display to display a lifestyle habit corresponding to a selection operation based on the selection operation for selecting a lifestyle habit;
and the second processing unit analyzes the change condition of the physiological parameter information recorded by the second recording unit in a third predetermined time period in the third predetermined time period.
10. The health management system of claim 9,
the third module further comprises:
a third processing unit which calculates the difference between the latest physiological parameter information recorded by the second recording unit and preset target physiological parameter information,
the display control unit controls the display to display the difference calculated by the third processing unit.
CN202111310430.XA 2021-11-05 2021-11-05 Health management system Pending CN114023450A (en)

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Citations (12)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JP2006259791A (en) * 2005-03-15 2006-09-28 Takasaki Univ Of Health & Welfare Personal health care system
CN1942891A (en) * 2005-02-07 2007-04-04 松下电器产业株式会社 Health care assisting device
CN101770547A (en) * 2009-01-06 2010-07-07 索尼公司 Method, apparatus and program for evaluating life styles
JP2014219850A (en) * 2013-05-09 2014-11-20 パナソニックヘルスケア株式会社 Lifestyle-related diseases improvement support system and control method thereof
CN107004239A (en) * 2014-12-25 2017-08-01 欧姆龙株式会社 Lifestyle improvement device, lifestyle improvement method and lifestyle improvement system
CN107169286A (en) * 2017-05-17 2017-09-15 上海思依暄机器人科技股份有限公司 A kind of health diet guidance method and system
CN107194175A (en) * 2017-05-24 2017-09-22 刘凤江 One kind set interactive health management service network plateform system
US20180182490A1 (en) * 2016-12-22 2018-06-28 Basehealth, Inc. Scoring and Mitigating Health Risks
JP2018113042A (en) * 2017-01-12 2018-07-19 株式会社AncientTree Device for predicting, recording and comparing inspection data
WO2020195682A1 (en) * 2019-03-25 2020-10-01 オムロンヘルスケア株式会社 Lifestyle improvement suggestion device, lifestyle improvement suggestion method, and lifestyle improvement suggestion program
CN112236825A (en) * 2018-07-04 2021-01-15 欧姆龙健康医疗事业株式会社 Health management support device, method, and program
CN112530588A (en) * 2020-11-30 2021-03-19 重庆电子工程职业学院 Health management system based on AR technology

Patent Citations (12)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN1942891A (en) * 2005-02-07 2007-04-04 松下电器产业株式会社 Health care assisting device
JP2006259791A (en) * 2005-03-15 2006-09-28 Takasaki Univ Of Health & Welfare Personal health care system
CN101770547A (en) * 2009-01-06 2010-07-07 索尼公司 Method, apparatus and program for evaluating life styles
JP2014219850A (en) * 2013-05-09 2014-11-20 パナソニックヘルスケア株式会社 Lifestyle-related diseases improvement support system and control method thereof
CN107004239A (en) * 2014-12-25 2017-08-01 欧姆龙株式会社 Lifestyle improvement device, lifestyle improvement method and lifestyle improvement system
US20180182490A1 (en) * 2016-12-22 2018-06-28 Basehealth, Inc. Scoring and Mitigating Health Risks
JP2018113042A (en) * 2017-01-12 2018-07-19 株式会社AncientTree Device for predicting, recording and comparing inspection data
CN107169286A (en) * 2017-05-17 2017-09-15 上海思依暄机器人科技股份有限公司 A kind of health diet guidance method and system
CN107194175A (en) * 2017-05-24 2017-09-22 刘凤江 One kind set interactive health management service network plateform system
CN112236825A (en) * 2018-07-04 2021-01-15 欧姆龙健康医疗事业株式会社 Health management support device, method, and program
WO2020195682A1 (en) * 2019-03-25 2020-10-01 オムロンヘルスケア株式会社 Lifestyle improvement suggestion device, lifestyle improvement suggestion method, and lifestyle improvement suggestion program
CN112530588A (en) * 2020-11-30 2021-03-19 重庆电子工程职业学院 Health management system based on AR technology

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