CN114010159A - Prediction system for predicting physical health state of user - Google Patents
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- 230000036541 health Effects 0.000 title claims abstract description 48
- 230000007613 environmental effect Effects 0.000 claims abstract description 35
- 230000003862 health status Effects 0.000 claims description 21
- 210000000056 organ Anatomy 0.000 claims description 17
- 210000004369 blood Anatomy 0.000 claims description 6
- 239000008280 blood Substances 0.000 claims description 6
- 230000036760 body temperature Effects 0.000 claims description 2
- 238000012795 verification Methods 0.000 claims 1
- 230000006399 behavior Effects 0.000 description 8
- 230000008859 change Effects 0.000 description 8
- 201000010099 disease Diseases 0.000 description 6
- 208000037265 diseases, disorders, signs and symptoms Diseases 0.000 description 6
- 210000002216 heart Anatomy 0.000 description 6
- 238000000034 method Methods 0.000 description 6
- 238000010586 diagram Methods 0.000 description 5
- 210000003734 kidney Anatomy 0.000 description 4
- 210000004185 liver Anatomy 0.000 description 4
- 210000004072 lung Anatomy 0.000 description 4
- 210000000952 spleen Anatomy 0.000 description 4
- 210000001835 viscera Anatomy 0.000 description 3
- 230000004199 lung function Effects 0.000 description 2
- 230000003340 mental effect Effects 0.000 description 2
- 206010019345 Heat stroke Diseases 0.000 description 1
- 102000001554 Hemoglobins Human genes 0.000 description 1
- 108010054147 Hemoglobins Proteins 0.000 description 1
- 208000007180 Sunstroke Diseases 0.000 description 1
- 230000009471 action Effects 0.000 description 1
- 238000003491 array Methods 0.000 description 1
- 210000000601 blood cell Anatomy 0.000 description 1
- 230000037237 body shape Effects 0.000 description 1
- 239000003814 drug Substances 0.000 description 1
- 230000001717 pathogenic effect Effects 0.000 description 1
- 230000037081 physical activity Effects 0.000 description 1
- 230000035790 physiological processes and functions Effects 0.000 description 1
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- 238000005728 strengthening Methods 0.000 description 1
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- A61B5/00—Measuring for diagnostic purposes; Identification of persons
- A61B5/72—Signal processing specially adapted for physiological signals or for diagnostic purposes
- A61B5/7271—Specific aspects of physiological measurement analysis
- A61B5/7275—Determining trends in physiological measurement data; Predicting development of a medical condition based on physiological measurements, e.g. determining a risk factor
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Abstract
An embodiment of the present invention provides a prediction system for predicting a physical health state of a user, including: an input unit for inputting environmental information of a user and physical state information of the user; a storage unit that stores user history physical state information and environmental information of the user associated with the history physical state information; and a prediction unit which predicts the future physical health state of the user based on the environmental information and the physical state information input from the input unit to the user and the information stored in the storage unit.
Description
Technical Field
The embodiment of the invention relates to the field of measuring human body information, in particular to a prediction system for predicting the physical health state of a user.
Background
Healthy refers to a person's physical, mental, and social well being. Health includes two aspects: on one hand, the main organs are free from diseases, the physical form is well developed, the body is uniform, each system of the human body has good physiological function and stronger physical activity and labor capacity, which is the most basic requirement for health; on the other hand, the medicine has stronger resistance to diseases, and can adapt to the environmental change, various physiological stimuli and the action of pathogenic factors on the body.
Disclosure of Invention
An embodiment of the present invention provides a prediction system for predicting a physical health state of a user, including: an input unit for inputting environmental information of a user and physical state information of the user; a storage unit that stores user history physical state information and environmental information of the user associated with the history physical state information; and a prediction unit which predicts the future physical health state of the user based on the environmental information and the physical state information input from the input unit to the user and the information stored in the storage unit.
Therefore, the embodiment of the invention can predict the future physical health condition of the user through the physical condition information and the environmental information of the user, the historical physical condition information of the user and the environmental information matched with the historical physical condition information, and the prediction result can lead the user to know the future physical health condition to a certain extent and properly adjust the behavior habit of the user.
Therefore, after the user uses the prediction system, the user can better adapt to the change of the environment and adjust the behavior habit of the user in time, so that the body can be prevented from being damaged undesirably, and the health state is further kept.
Drawings
FIG. 1 is a schematic diagram of a prediction system for predicting a health status of a user according to an embodiment of the present invention;
FIG. 2 is a schematic diagram of a prediction system for predicting a health status of a user according to another embodiment of the present invention;
FIG. 3 is a schematic diagram of a prediction system for predicting the health status of a user according to another embodiment of the present invention;
FIG. 4 is a schematic diagram of an input portion of a prediction system for predicting a health status of a user according to an embodiment of the present invention;
fig. 5 is a schematic diagram of a prediction unit of a prediction system for predicting a physical health state of a user according to an embodiment of the present invention.
Description of reference numerals:
100. a prediction system; 10. an input section; 11. a manual input mode; 12. an automatic input mode; 20. a storage unit; 30. a prediction unit; 40. a login part; 200. a database of a hospital.
Detailed Description
In order to make the objects, technical solutions and advantages of the present invention more apparent, the technical solutions of the present invention will be described clearly and completely with reference to the accompanying drawings of the embodiments of the present invention. It should be apparent that the described embodiment is one embodiment of the invention, and not all embodiments. All other embodiments, which can be derived by a person skilled in the art from the described embodiments of the invention without any inventive step, are within the scope of protection of the invention.
It is to be noted that technical terms or scientific terms used herein should have the ordinary meaning as understood by those having ordinary skill in the art to which the present invention belongs, unless otherwise defined. If the description "first", "second", etc. is referred to throughout, the description of "first", "second", etc. is used only for distinguishing similar objects, and is not to be construed as indicating or implying a relative importance, order or number of technical features indicated, it being understood that the data described in "first", "second", etc. may be interchanged where appropriate. If "and/or" is presented throughout, it is meant to include three juxtapositions, exemplified by "A and/or B" and including either scheme A, or scheme B, or schemes in which both A and B are satisfied. Furthermore, spatially relative terms, such as "above," "below," "top," "bottom," and the like, may be used herein for ease of description to describe one element or feature's spatial relationship to another element or feature as illustrated in the figures, and should be understood to encompass different orientations in use or operation in addition to the orientation depicted in the figures.
Referring to fig. 1 to 5, a prediction system 100 according to an embodiment of the present invention can predict the future physical health condition of a user according to the physical condition information and the environmental information of the user, and the historical physical condition information of the user and the environmental information matched with the historical physical condition information, so that the user can know the future physical health condition of the user to a certain extent and can properly adjust the behavior habit of the user.
Therefore, after the user uses the prediction system, the user can better adapt to the change of the environment and adjust the behavior habit of the user in time, so that the body can be prevented from being damaged undesirably, and the health state is further kept.
The system 100 for predicting the physical health status of a user may include: an input unit 10 for inputting environmental information of a user and physical state information of the user, as shown in fig. 1; the storage unit 20 stores the user's historical physical state information and the user's environmental information associated with the historical physical state information, where the user's historical physical state information and the user's environmental information associated with the historical physical state information include all information that the user previously entered when using the prediction system 100.
The physical state information of the user and the environmental information can be characterized in different ways, and on one hand, the physical state information of the user can be characterized by the self-feeling state of the user, for example, the user feels that the user is in a comfortable state, a more comfortable state or an uncomfortable state in the day at the sunstroke of a certain year. The comfortable state refers to a state in which the user can efficiently engage in physical labor or mental labor.
On the other hand, the body-shape information of the user can be characterized by the health states of different organs of the user's body, for example, the health state of the user's heart can be obtained by detecting the physical condition of the user at the time of a certain year.
In addition, as shown in fig. 3, in some embodiments, the prediction system 100 may be connected to a hospital database 200, and the hospital database 200 stores the user's historical physical status information and the user's environmental information related to the historical physical status information based on the user's physical examination report and the medical condition. The user's historical physical state information and the user's environmental information related to the historical physical state information can be transmitted to the storage part 20 of the prediction system 100 through the database 200 of the hospital.
In some embodiments, the input unit 10 may input information by a manual input method 11 and an automatic input method 12, and as shown in fig. 2, the user may input information by either method or both methods. The automatic input method 12 is to provide the input portion 10 with an infrared camera, where the infrared camera can scan the human body of the user, and the human body scan can obtain the environmental information of the user and the physical status information of the user. For example, the weather conditions, such as air temperature, of the user on the current day can be obtained through human body scanning; and detecting the condition of the user's organ.
In some embodiments, the prediction system 100 further includes a login portion 40, as shown in fig. 2 or fig. 3, if the user uses the prediction system 100 for the first time, the user needs to register an account at the login portion 40; if the user has used the prediction system 100, the user only needs to perform account authentication in the login portion 40, and if the authentication is successful, the user enters the interface of the input portion 10, and selects manual information input or automatic information input in the interface of the input portion 10.
In some embodiments, the environmental information includes weather condition information, season information, or geographic location information. The seasonal information may include twenty-four solar terms, and the geographic location information may include longitude and latitude and altitude of a location where the user is located, but not limited thereto, and may be adjusted as required.
In some embodiments, the physical state information includes body temperature, pulse, blood information, or user organ health information. The blood information may include a blood type of the user, a count of blood cells in the blood, and hemoglobin in the blood, and the organ health information of the user may include health conditions of a liver, a heart, a spleen, a lung, and a kidney, but not limited thereto, and may be adjusted as needed.
The future physical health state of the user is predicted by using the environment information and the physical state information of the different types, so that the reliability of the finally obtained prediction result is high, and the user can be relieved to adjust the behavior habit of the user according to the prediction result, so that the body can be prevented from being damaged undesirably, and the healthy physical state is kept.
As shown in FIG. 5, in some embodiments, the predicted future physical state of the user includes the future health of various organs of the user or the user's risk of developing a disease. Therefore, by using the prediction system 100, the user can have a certain understanding of his future physical health status, and adjust his behavior habits, such as work and rest, according to the predicted future physical status in time, thereby reducing the risk of illness and maintaining a healthy physical status.
In some embodiments, the prediction part 30 of the prediction system 100 predicts the future physical state of the user as follows:
firstly, converting current body state information, current environment information, historical body state information and environment information of a user associated with the historical body state information into corresponding parameter values;
then setting the weight of the environment information, and drawing a curve graph of the body state information and the environment information based on the parameter value and the weight;
and finally, predicting the future physical health state of the user according to the graph.
Before drawing the graph of the body state information of the user and the environment information of the user, a table of the body state information of the user and the environment information of the user may be first drawn, and then the graph may be drawn according to the table.
The operation of the prediction unit 30 will be described in detail below.
First, the user inputs the current environmental information and the current physical state information into the input unit 10, and then the input unit 10 transmits the information into the prediction unit 30, and the prediction unit 30 first converts the information into a parameter value.
Wherein, the environment information can be set with a starting point first, and then the parameter values are set according to the sequence of time and space.
The body state information may be set with a standard value first, and then the parameter value may be set according to the quality of the body state based on the standard value.
Meanwhile, the user's historical physical state information and environmental information associated with the historical physical state information also set parameter values in the manner described above.
Then, according to the currently input information and the historical information, a table of the environmental information and the physical health state information can be drawn, wherein each parameter value of the environmental information corresponds to one parameter value of the physical health state information.
Because different environmental information can have different degrees of influence on the body, the weight is set for the environmental information, the parameter value of each piece of body health state information in the table is corrected according to the weight of the environmental information, and the corrected table can reflect the relationship between the environmental information and the body health state information more accurately.
Because the curve graph can better reflect the change rule of the body health state along with the environment, the corrected table is drawn into the curve graph, wherein the abscissa is the environmental parameter value, and the ordinate is the body health state parameter value.
Finally, according to the change rule and the trend of the curve, the body health state of the user in a certain environment in the future can be predicted.
According to the predicted health status, the prediction part 30 can further provide the risk of a certain disease, so that the user can know the future health status of the user to a certain extent, and can actively adjust the behavior habit of the user to reduce the risk of the disease.
Next, the operation of the prediction unit 30 will be described in more detail, taking as an example the case where the prediction unit 30 predicts the future health status of the five internal organs of the user.
First, the user inputs the throttle information and the five-organ health status information of the user at the input unit 10, and then the input unit 10 transmits the information to the prediction unit 30, and the prediction unit 30 converts the information into parameter values.
The solar term information may be set to 1 in a spring of a certain year as a starting point, and then set to parameter values in the order of solar terms, for example, 2 in rain water of the year, 3 in startle of the year, and so on, and finally 24 in severe coldness of the year and 25 in spring of the next year.
The five-organ health status information may be set with a standard value, for example, the health status of the five organs is set to 50, if the five organs are weak, the corresponding parameter value is less than 50, and if the five organs are strong, the corresponding parameter value is greater than 50, wherein the variation range of the parameter value is set according to the strength of the five-organ function.
Therefore, the prediction unit 30 can convert the five-organ health status information input by the user into a set of data sets, for example, the five-organ health status of a certain user in the beginning of summer is (50, 70, 65, 35, 40) in the order of liver, heart, spleen, lung and kidney, and the data sets can reflect the strength of the five-organ function of the user.
Meanwhile, the historical five-organ health status information of the user and the throttle information associated with the historical five-organ health status information are also provided with parameter values according to the method.
Then, a table of solar term information and five-organ health status information can be drawn according to the currently input information and historical information, wherein the parameter value of each solar term corresponds to a group of arrays reflecting the strength of the five-organ functions. For example, if 1 is assumed to be used for the spring of 2021 year, 6, (50, 65, 70, 40, 35) are parameter values indicating the health state of the five zang organs of the user in the rain of 2021 year.
Because different solar terms have different degrees of influence on liver, heart, spleen, lung and kidney, weight is set for the solar term information, for example, the strengthening of the five-organ function is facilitated by spring, so that the weight value of spring is set to be +6, and 6 is added to each parameter value in the five-organ function array corresponding to spring; and the five-organ function can be weakened in winter, so that the weight value of winter is set to be-5, and each parameter value in the five-organ function array corresponding to winter is reduced by 5.
Through setting the weight of the solar terms information, each group of the tables is corrected, and the corrected tables can reflect the relationship between the solar terms information and the health state information of the five internal organs more accurately.
Because the curve graph can better reflect the change rule of the health state of the five zang organs along with the solar terms, the corrected table is drawn into the curve graph, the abscissa is the parameter value of the solar terms, the ordinate is the parameter value of the health state of the five zang organs, 5 curves can be drawn according to the table, and the curves are the change curves of the health state of the five zang organs along with the solar terms, wherein the curves are the curves of the health state of the solar terms and the liver, the curves of the health state of the solar terms and the heart, the curves of the health state of the solar terms and the spleen, the curves of the health state of the solar terms and the lung, and the curves of the health state of the solar terms and the kidney.
Finally, according to the change rule and the trend of the curve, the health state of the five internal organs of a certain solar term in a certain future year can be predicted, for example, the health state of the heart of a user in 2022 years can be predicted.
According to the predicted health status of the five zang organs, the prediction part 30 can further provide the risk of a certain disease, so that the user can know the health status of the five zang organs in the future to adjust his behavior habit actively, for example, when the prediction result shows that the future lung function of the user is gradually weakened, the user should increase aerobic exercise to enhance his lung function.
It should also be noted that, in the case of the embodiments of the present invention, features of the embodiments and examples may be combined with each other to obtain a new embodiment without conflict.
The above are only some embodiments of the present invention, but the scope of the present invention is not limited thereto, and the scope of the present invention should be subject to the scope of the claims.
Claims (8)
1. A prediction system for predicting a physical health state of a user, comprising:
an input unit for inputting environmental information of a user and physical state information of the user;
a storage unit that stores user history physical state information and environmental information of the user associated with the history physical state information;
a prediction unit that predicts a future physical health state of the user based on the environmental information and the physical state information input from the input unit by the user and the information stored in the storage unit.
2. The prediction system of claim 1, wherein the input unit inputs the information manually.
3. The prediction system of claim 1, wherein the input unit inputs the information in an automatic manner, and the automatic input is that the input unit performs a human body scan on the user.
4. The prediction system of claim 1, further comprising a login portion, wherein if the user uses the prediction system for the first time, the user needs to register an account at the login portion; if the user uses the prediction system, the user only needs to perform account verification at the login part.
5. The prediction system of claim 1, wherein the environmental information comprises weather condition information, season information, or geographic location information.
6. The prediction system of claim 1, wherein the physical state information comprises body temperature, pulse, blood information, or health state information of an organ.
7. The prediction system of claim 1, wherein the predicted future physical health status of the user comprises future health status of different organs of the user or a risk of the user.
8. The prediction system of claim 1, wherein:
the predicting part predicts the future physical health state of the user by adopting the following modes:
converting the body state information, the environmental information, the historical body state information, and the user's environmental information associated with the historical body state information into corresponding parameter values;
setting the weight of the environment information;
plotting the physical state information against the environmental information based on the parameter values and the weights;
predicting a future physical health state of the user based on the graph.
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