KR20210047079A - Alarm system for predicting information of health based on satisfaction of condition related to users - Google Patents

Abstract

The present invention relates to a health information prediction alarm system based on condition satisfaction which comprises: a mobile unit that receives predetermined information from a user, transmits predetermined information to an external server, and informs the user of health information when the health information based on the predetermined information is received from an external server; and an analyzing unit that corresponds to an external server that receives the predetermined information from the mobile unit, calculates health information predicted for the user by analyzing the predetermined information, and transmits the health information to the mobile unit.

Description

Alarm system for predicting information of health based on satisfaction of condition related to users}

The present invention relates to a system for predicting and alarming health information, and in more detail, symptom information based on condition information for all actions of the user, as well as environmental information surrounding the user and biometric information of the user. This is a technical field related to a system that predicts and informs the user's symptom information if the same condition information and environment information proceed similarly in the future of the user after analyzing their correlation.

Conventional health management has been led by doctors and medical institutions. In the field of health care, doctors have traditionally created information and treated patients based on this information, and medical institutions provided a space for doctors to treat patients and stored and managed the generated health information. The patient was passive, and health information was only available at medical institutions.

However, the current health management is changing to predictive and preventive medicine, and it is a new phenomenon of personalized medicine suitable for the unique characteristics of each patient and particpatory medicine in which patients actively participate. appear.

Big data has had a great influence on the paradigm shift in health care. This is because, only by collecting and accumulating data, effective treatment is possible through prevention, health promotion, and customized medicine. In addition to the existing medical data, the need to acquire various data is increasing, and the development of various wireless sensors, the improvement of communication speed, and the development of smartphones makes it much easier to acquire external activity data than before. Due to the importance of such data, technologies for data collection, storage, and analysis are also gradually developing. Here, smart health management incorporating information and communication technology is emerging as the core.

Smart health management is an industrial field dealing with personal health and medical information, devices, systems, and platforms, and is a comprehensive medical service that combines health-related services and medical IT. In addition, it provides personalized health care services, based on analysis of lifestyle, physical examination, medical use information, artificial intelligence, virtual reality, genomic information, etc. secured from portable and wearable devices owned by individuals or cloud hospital information systems. It is an individual-centered health care ecosystem that is provided.

As an example of a prior patent document related to this, there is a “health management server and its operation method (Publication No. 10-2013-0082698, hereinafter referred to as Patent Document 1)”.

In the case of Patent Document 1, the present invention relates to a case management system, and more particularly, to a health management server of a health management system and an operation method thereof. The health management server according to an embodiment of the present invention includes a symptom collection module for collecting clinical information of a patient from a hospital server and collecting health information of a patient from a personal health record server; An alarm and response rule management module for generating an alarm rule based on the clinical information and the health information; And an alarm generation module that monitors the clinical information and the health information, and generates an alarm when the clinical information and the health information correspond to the alarm rule. The health management server according to an embodiment of the present invention may provide different alarm services to patients with different health states by referring to clinical information and health information of each patient.

As an example of another patent document, there is a "health status notification method using a condition index and a server executing the same (Publication No. 10-2017-0068847, hereinafter referred to as Patent Document 2)".

In the case of Patent Document 2, the health status notification method using the condition index executed in the health status notification server according to an embodiment of the present invention provides a biometric index to each of the user's biorhythm elements or the correlation between the biorhythm elements. Assigning a biometric index according to a relationship, determining a condition index of the user using the biometric index, and feeding back a health state of the user according to the condition index. Accordingly, the present invention has the advantage of being able to predict whether or not deterioration and improvement in a disease state and various life events can be predicted by using the user's condition index.

As an example of another patent document, there is a “bio-signal self-diagnosis system using a smartphone (Registration No. 10-1249274, hereinafter referred to as Patent Document 3)”.

In the case of Patent Document 3, the present invention relates to a biosignal self-diagnosis system, and more specifically, the biosignal measured by a portable health meter is continuously stored in a smartphone received by a local area network, etc., and is measured by a portable health meter. By collecting one-time bio-signals and generating diagnostic data, it can be used as an individual's daily health diary. In addition, by comparing and analyzing bio-signals measured in the past and bio-signals currently being measured, The present invention relates to a biosignal self-diagnosis system using a smartphone that allows suggestions of action directions such as the amount of alcohol consumed and the type of alcohol to be consumed.

As an example of another patent document, there is a "biometric information-based abnormal symptom notification system and an abnormal symptom notification method using the same (Registration No. 10-1756827, hereinafter referred to as Patent Document 4)".

In the case of Patent Document 4, the present invention relates to an abnormal symptom notification system based on biometric information and an abnormal symptom notification method using the same. Specifically, the biometric information of a user measured from a biometric information measuring device and transmitted to a smart terminal is collected. Thereafter, the present invention relates to an abnormal symptom notification system based on biometric information that analyzes whether abnormal symptoms occur by clustering them, and provides notification about the abnormal symptoms to a user, and an abnormal symptom notification method using the same. In addition, the present invention provides a biometric information collection unit that collects biometric information of each user, a clustering unit that divides and clusters the biometric information of users into a plurality of clusters, and abnormal symptoms based on changes in biometric information belonging to each cluster. Since the abnormal symptom analysis unit that analyzes the occurrence of the abnormality and the abnormal symptom notification unit that transmits a notification on the abnormal symptom is provided, it is possible to more accurately analyze information on the health condition and abnormal symptoms according to the change in the user's biometric information.

As an example of another patent document, there is a “device for providing status information of a subject of care based on statistical information, a system and a method of providing status information of a subject of care (Publication No. 10-2019-0021953, hereinafter referred to as Patent Literature 5)”. .

In the case of Patent Document 5, the present invention relates to an apparatus for providing state information of a subject of care, and the apparatus for providing state information of a subject of care according to an embodiment of the present invention includes a statistical data generation unit and a state determination unit. The statistical data generation unit collects sample data related to the body information of the sampling sample to form a state cluster for classifying the state, and the state determination unit collects care data for the care target, and the care target person from the care data The activity data related to the body information of is extracted, and a state cluster to which the activity data belongs is determined among the state clusters to determine the current state of the care subject.

However, in the case of Patent Document 1, the patient's clinical information is collected and monitored from the hospital server, and an alarm is generated when the clinical information and health information correspond to the alarm rule, and the alarm rule has an abnormality in the patient's health. It includes information on the information about the patient and the information on the actions to be performed by the patient, but the patient passively manages the health, and merely discloses a technical idea that includes a notification rule corresponding to the post-health management.

Patent Literature 2 has the advantage of being able to predict deterioration and improvement in disease state and various life events by using the user's condition index, but body temperature and pulse rate depend on various factors such as age, sex, constitution, and stress. Since it is applied differently for each person, there is a problem that accurate changes in health status cannot be found only with body temperature and pulse information.

In the case of Patent Literature 3, diagnostic data for biosignals is generated through a portable health meter, which is a technology that compares and analyzes the past and present biosignals to propose behavioral directions such as the amount of alcohol consumed and the type of alcohol to be consumed according to the health status. Only ideas are disclosed.

In addition, in the case of their public literature, the health of individuals is continuously monitored and historical information such as diseases, symptoms, and allergic reactions based on specific conditions in the past are recorded, and when conditions identical or similar to those specific conditions are met in the future. There is a problem in that it fails to disclose a technical idea that enables a user to manage his or her own health by generating a warning alarm for the specific condition.

Publication No. 10-2013-0082698 Publication No. 10-2017-0068847 Registration number 10-1249274 Registration number 10-1756827 Publication No. 10-2019-0021953

The condition satisfaction-based health information prediction alarm system according to the present invention has been devised to solve the conventional problem as described above, and presents the following problems to be solved.

First, it is intended to be able to predict the user's symptoms by reflecting the user's health information in life, that is, the environment to which the user belongs.

Second, the user's health information is intended to be able to predict the user's symptoms based on the same behavior condition based on the user's behavior condition, that is, the user's food, sleep condition, and the user's exposure to air conditioner.

Third, by reflecting the user's biometric information, based on the user's condition information and environmental information, and analyzing the correlation index, the user's symptoms can be predicted and an alarm can be generated based on the same conditions in the future.

The problem to be solved of the present invention is not limited to those mentioned above, and other problems that are not mentioned will be clearly understood by those skilled in the art from the following description.

The health information prediction alarm system based on condition satisfaction according to the present invention has the following problem solving means for the above problem to be solved.

The condition satisfaction-based health information prediction alarm system according to the present invention receives predetermined information from a user, transmits the predetermined information to an external server, and receives health information based on the predetermined information from the external server. A mobile unit that informs the user of the health information; And an analyzing unit corresponding to the external server receiving the predetermined information from the mobile unit, analyzing the predetermined information, calculating health information predicted to the user, and transmitting the health information to the mobile unit. It may be characterized in that it includes a.

In the case of the condition satisfaction-based health information prediction alarm system according to the present invention, the mobile unit includes: a mobile communication unit configured to transmit the predetermined information to the analyzing unit and receive the health information from the analyzing unit; A biometric information acquisition unit receiving the user's biometric information from the user and forming the input biometric information as part of the predetermined information; A condition information acquisition unit that receives the user's condition information from the user and forms the input condition information as part of the predetermined information; And a symptom information acquisition unit receiving the user's symptom information from the user and forming the received symptom information as part of the predetermined information.

In the case of the condition satisfaction-based health information prediction alarm system according to the present invention, the mobile unit receives environmental information of the user from the user, and obtains environmental information that forms the received environmental information as part of the predetermined information. It may be characterized in that it further includes wealth.

In the case of the condition satisfaction-based health information prediction alarm system according to the present invention, the analyzing unit includes: a system communication unit configured to receive the predetermined information from the mobile unit and transmit the health information to the mobile unit; A biometric information receiving unit for receiving the biometric information from the biometric information obtaining unit; A condition information receiving unit for receiving the condition information from the condition information obtaining unit; And a symptom information receiving unit for receiving the symptom information from the symptom information obtaining unit.

In the case of the condition satisfaction-based health information prediction alarm system according to the present invention, the analyzing unit may further include an environment information receiving unit that receives the environment information from the environment information obtaining unit.

In the case of the condition satisfaction-based health information prediction alarm system according to the present invention, the biometric information includes at least one or more of the user's date of birth information, sex information, weight information, blood type information, height information, or body composition information, and the The condition information includes at least one or more of the user's ingested food information, predetermined behavior information, exercise information, or sleeping condition information, and the symptom information includes the user's body pain information, body sensory abnormality information, disease disease information Alternatively, it may be characterized in that it includes at least one or more of information on abnormalities in urination.

In the case of the condition satisfaction-based health information prediction alarm system according to the present invention, the environment information includes at least one of date information, time information, time information, location information, or weather information, wherein the weather information is the time It includes at least one or more of temperature information, humidity information, atmospheric pressure information, precipitation information, air quality information, air volume information, or wind speed information according to the information, and the air quality information is pollen concentration information or fine pollen concentration information according to the time information. It may be characterized by including dust concentration information.

In the case of the condition satisfaction-based health information prediction alarm system according to the present invention, the analyzing unit continuously updates the correlation by assigning a weight to the condition information or the environmental information repeatedly matched with the symptom information, A correlation index analysis unit that individually analyzes the correlation between the condition information and the environmental information caused by the symptom information, based on the biometric information; And a symptom predictor configured to predict symptom information calculated according to a correlation index between the condition information and the environmental information when event information matching the condition information and the environment information is input based on the biometric information. You can do it.

In the case of the condition satisfaction-based health information prediction alarm system according to the present invention, the mobile communication unit arranges the predetermined information in a binary sequence, and then generates a random noise signal at a predetermined position in the binary sequence. It may be inserted, and the predetermined position of the arbitrary noise signal and information of the arbitrary noise signal itself may be provided to the system communication unit.

In the case of the condition satisfaction-based health information prediction alarm system according to the present invention, the system communication unit filters out the random noise signal from the binary sequence into which the random noise signal is inserted from the mobile communication unit, and then receives predetermined information. It may be characterized in that the retained binary sequence is restored.

The health information prediction alarm system based on condition satisfaction according to the present invention having the above configuration provides the following effects.

First, after analyzing the correlation with symptom information through the biometric information and condition information input by the user, if the same or similar event occurs in the future, the same symptom information is predicted to occur, and this is notified to the user.

Second, the predictability of the user's symptom information is increased by adding not only the biometric information or condition information input by the user, but also the environmental information obtained by the mobile unit 100.

Third, a random noise signal is inserted into the information communicated between the mobile unit and the analyzing unit, but the information and the insertion position of the random noise signal are security, thereby preventing arbitrary hacking from a third party.

The effects of the present invention are not limited to those mentioned above, and other effects not mentioned will be clearly understood by those skilled in the art from the following description.

1 is a conceptual diagram of an alarm system for predicting health information based on condition satisfaction according to an embodiment of the present invention.
2 is a conceptual diagram illustrating inputting biometric information to a mobile unit in a condition satisfaction-based health information prediction alarm system according to an embodiment of the present invention.
3 is a conceptual diagram illustrating inputting condition information to a mobile unit in a condition satisfaction-based health information prediction alarm system according to an embodiment of the present invention.
4 is a conceptual diagram illustrating inputting environmental information to a mobile unit in a condition satisfaction-based health information prediction alarm system according to an embodiment of the present invention.
5 is a conceptual diagram illustrating inputting symptom information to a mobile unit in a condition satisfaction-based health information prediction alarm system according to an embodiment of the present invention.
6 is a conceptual diagram illustrating predicting symptoms based on the same or similar conditions based on biometric information, condition information, environmental information, and symptom information in a condition satisfaction-based health information prediction alarm system according to an embodiment of the present invention. to be.
7 is a block diagram illustrating a mobile unit in a condition satisfaction-based health information prediction alarm system according to an embodiment of the present invention.
8 is a block diagram illustrating an analysis unit in a condition satisfaction-based health information prediction alarm system according to an embodiment of the present invention.
9 is a conceptual diagram illustrating a process analyzed by a correlation index analyzer among the analyzing units of the condition satisfaction-based health information prediction alarm system according to an embodiment of the present invention.
FIG. 10 is a conceptual diagram illustrating a process analyzed by a correlation index analyzer among the analyzing units of the condition satisfaction-based health information prediction alarm system according to an embodiment of the present invention.
11 is a conceptual diagram illustrating that a mobile unit of a condition satisfaction-based health information prediction alarm system according to an embodiment of the present invention inserts a random noise signal into a data sequence.
12 is a conceptual diagram illustrating that an analysis unit of a condition satisfaction-based health information prediction alarm system according to an embodiment of the present invention removes a random noise signal from a data sequence to extract an original data sequence.

Since the condition satisfaction-based health information prediction alarm system according to the present invention can make various changes and have various embodiments, specific embodiments will be illustrated in the drawings and will be described in detail in the detailed description. However, this is not intended to limit the present invention to a specific embodiment, it should be understood to include all changes, equivalents, and substitutes included in the technical spirit and scope of the present invention.

1 is a conceptual diagram of an alarm system for predicting health information based on condition satisfaction according to an embodiment of the present invention. 2 is a conceptual diagram illustrating inputting biometric information to a mobile unit in a condition satisfaction-based health information prediction alarm system according to an embodiment of the present invention. 3 is a conceptual diagram illustrating inputting condition information to a mobile unit in a condition satisfaction-based health information prediction alarm system according to an embodiment of the present invention. 4 is a conceptual diagram illustrating inputting environmental information to a mobile unit in a condition satisfaction-based health information prediction alarm system according to an embodiment of the present invention. 5 is a conceptual diagram illustrating inputting symptom information to a mobile unit in a condition satisfaction-based health information prediction alarm system according to an embodiment of the present invention. 6 is a conceptual diagram illustrating predicting symptoms based on the same or similar conditions based on biometric information, condition information, environmental information, and symptom information in a condition satisfaction-based health information prediction alarm system according to an embodiment of the present invention. to be. 7 is a block diagram illustrating a mobile unit in a condition satisfaction-based health information prediction alarm system according to an embodiment of the present invention. 8 is a block diagram illustrating an analysis unit in a condition satisfaction-based health information prediction alarm system according to an embodiment of the present invention. 9 is a conceptual diagram illustrating a process analyzed by a correlation index analyzer among the analyzing units of the condition satisfaction-based health information prediction alarm system according to an embodiment of the present invention. FIG. 10 is a conceptual diagram illustrating a process analyzed by a correlation index analyzer among the analyzing units of the condition satisfaction-based health information prediction alarm system according to an embodiment of the present invention. 11 is a conceptual diagram illustrating that a mobile unit of a condition satisfaction-based health information prediction alarm system according to an embodiment of the present invention inserts a random noise signal into a data sequence. 12 is a conceptual diagram illustrating that an analysis unit of a condition satisfaction-based health information prediction alarm system according to an embodiment of the present invention removes a random noise signal from a data sequence to extract an original data sequence.

In the case of the condition satisfaction-based health information prediction alarm system according to the present invention, as shown in FIG. 1, based on the biometric information input by the user, condition information input by the user daily and the mobile unit 100 acquires Based on the environmental information, after analyzing the correlation between the symptom information input by the user and the previously input biometric information, condition information, and environmental information, in the future, the condition information input from the user and the environment acquired by the mobile Yunnet 100 A technology that predicts symptom information of the user through the information and informs the user is disclosed.

As shown in FIG. 1, in the case of the condition satisfaction-based health information prediction alarm system according to the present invention, a mobile unit 100 and an analyzing unit 200 may be included.

The mobile unit 100 is a means for a user to input predetermined information, and may preferably be a smart phone, a tablet personal computer (PC), or the like that the user can always carry.

It goes without saying that the mobile unit 100 should be able to receive predetermined information input by the user through various input means, and should be able to download and install programs or applications for programming various functions presented in the present invention.

In the case of the mobile unit 100, environmental information, which will be described later, should be automatically acquired. To this end, the mobile unit 100 includes date information, time information, and Location information or weather information should be available automatically.

The mobile unit 100 may be a generally widely known smart phone, for example, Samsung Electronics' Galaxy S series, Galaxy Note series, or Galaxy Tab, and may be Apple's iPhone series or iPad series.

Of course, it can be implemented with other laptop PCs, of course.

As described above, the mobile unit 100 may receive predetermined information from the user, and the predetermined information obtained by the mobile unit 100 is transmitted to the analyzing unit 200, which is an external server.

In the future, the mobile unit 200 receives health information predicted according to predetermined information from the analyzing unit 200, which is an external server, and informs the user of this.

In the case of the analyzing unit 200, an external server physically separated from the mobile unit 100 is formed, and when predetermined information as described above is obtained from the mobile unit 100, it is analyzed to the user. The health information to occur is predicted and transmitted to the mobile unit 100.

As shown in FIG. 7, the mobile unit 100 may include a mobile communication unit 110, a biometric information acquisition unit 120, a condition information acquisition unit 130, and a symptom information acquisition unit 150.

In the case of the mobile communication unit 110, as described above, it transmits predetermined information to the analyzing unit 200 and also receives health information from the analyzing unit 200.

There is no limitation on the method of communication of the mobile communication unit 110.

In the case of the biometric information acquisition unit 120, the user's biometric information is inputted from the user, and the received biometric information is formed as part of the predetermined information.

In the case of biometric information, as shown in FIG. 2, it is preferable to include at least one of the user's date of birth information, gender information, weight information, blood type information, height information, user's biorhythm information, or body composition information.

Here, the biometric information may be divided into information that does not need to be re-inputted after the user first inputs it and information that can be continuously updated.

Among the biometric information, information that does not need to be re-entered after the first input may be the user's date of birth information, gender information, blood type information, kidney information, user's biorhythm information, DNA genetic information, etc. Randomly updatable information may be weight information, body composition information, or the like.

In the case of the condition information acquisition unit 130, the user's condition information is input from the user, and the input condition information is formed as part of the predetermined information.

As shown in FIG. 3, the condition information may include at least one or more of food intake information, predetermined behavior information, exercise information, and sleep condition information of the user.

Condition information is recorded in conjunction with environmental information. For example, whether the user ate a certain food at a certain time on a certain date, how much sleep a user took on a certain date, and at what time the user Records such as blowing the wind at 18 degrees for 2 hours can be carried out.

In more detail, the user ate some food on a certain date and at a certain time, and a record of this is recorded and managed together with weather information for the date.

In the case of the symptom information acquisition unit 150, the user's symptom information is inputted from the user, and the received symptom information is formed as part of the predetermined information.

Here, the symptom information preferably includes at least one of a user's body pain information, body sensory abnormality information, disease disease information, or urination abnormality information, as shown in FIG. 5.

In the case of body pain information, it may be information on headache, toothache, menstrual pain, back pain, shoulder pain, knee pain, or other abdominal pain.

In the case of somatosensory abnormality information, it may be dry eyes, a sensation of chapped skin, dizziness, and the like.

The disease information may include bacterial and viral diseases such as cold diseases, cancer occurrence, brain diseases such as stroke, and other heart diseases.

In the case of abnormal urination information, it may be discomfort or disorder related to feces such as diarrhea, acute abdominal pain, and other discomfort or disorder related to urine.

In the case of the condition satisfaction-based health information prediction alarm system according to the present invention, the mobile unit 100 may further include an environment information acquisition unit 140.

In the case of the environment information acquisition unit 140, the user's environment information is inputted from the user, and the received environment information is formed as part of the predetermined information.

As for the environment information, as shown in FIG. 4, it is preferable that the environment information includes at least one of date information, time information, time information, location information, and weather information.

The weather information preferably includes at least one of temperature information, humidity information, atmospheric pressure information, precipitation information, air quality information, air volume information, and wind speed information according to time information.

It is preferable that the air quality information includes pollen concentration information or fine dust concentration information according to time information.

As described above, all information of the environmental information is recorded and managed in conjunction with the date, time, and location of the environmental information.

Correspondingly, in the case of the condition satisfaction-based health information prediction alarm system according to the present invention, the analyzing unit 200 includes a system communication unit 202, a biometric information receiving unit 210, and condition information, as shown in FIG. 8. It may include a receiving unit 220 and symptom information receiving unit 230.

First, the system communication unit 202 receives predetermined information from the mobile unit 100 and transmits health information to the mobile unit 100.

Like the mobile unit 100, the system communication unit 202 has no limitation on a communication method.

The biometric information receiving unit 210 is configured to receive the biometric information from the biometric information obtaining unit 120 of the mobile unit 100, and the condition information receiving unit 220 is the condition information obtaining unit 130 of the mobile unit 100 This is a configuration that receives condition information from.

Similarly, the symptom information receiving unit 240 is configured to receive symptom information from the symptom information obtaining unit 150 of the mobile unit 100.

In the case of the condition satisfaction-based health information prediction alarm system according to the present invention, the analyzing unit 200 may further include an environment information receiving unit 230.

In the case of the environment information receiving unit 230, the configuration is configured to receive environment information from the environment information acquisition unit 150 of the mobile unit 100.

As illustrated in FIG. 8, in the case of the analyzing unit 200, a correlation index analysis unit 250 and a symptom prediction unit 260 may be further included.

In the case of the correlation index analysis unit 250, as shown in FIG. 9, the correlation is continuously updated by giving weight to condition information or environmental information that is repeatedly matched with symptom information, and based on the biometric information, the The correlation between the condition information and the environmental information caused by symptom information is individually analyzed.

That is, for example, as shown in FIG. 6, the user inputs condition information as having consumed four peaches at a certain point in time, for example, on the evening of August 23, 2019, and the mobile unit 100 automatically recognizes it. Environmental information is recognized as rainy weather, and after being input as having taken a bed late at night, diarrhea symptoms, which are abnormal urination, are input as symptom information the next day.

After about a year has passed, if condition information similar to that of FIG. 6(a) and environmental information similar to are input, the analyzing unit 200 predicts that the user will experience abnormal urination symptoms, and then the mobile unit 100 ) Through.

Likewise, if the user enters condition information that the air conditioner winds at 18 degrees Celsius after a shower in summer weather, and the user enters that he has suffered from a cold, the same or the same or even after a year or more has elapsed in the future. When similar condition information is input, the analyzing unit 200 predicts and informs the user that he or she may suffer the same symptom, a cold.

To this end, as shown in FIG. 9, the correlation index analysis unit 250 performs a continuous update task, such as giving a reweighting value based on the symptom information to the weights between them based on the condition information and the environment information. .

For example, if you do not have diarrhea after eating 6 peaches at some point, you can recognize that diarrhea is not just a peach problem, and even if you do not have diarrhea on a rainy day, the weather is simply a problem of diarrhea. You can recognize that it is not. Therefore, if you have diarrhea when you go to bed right after eating a peach in the evening on a bad day, it is possible to predict that they will suffer from a dysuria called diarrhea as a case where simultaneous conditions are met, and such condition information and environmental information If it is recognized in the future as being satisfied at the same time, it can be predicted to suffer from a dysuria called diarrhea.

Therefore, as shown in FIG. 10, the symptom predicting unit 260 of the analyzing unit 200 determines the condition information and the environment information when event information matching the condition information and the environment information is input based on the biometric information. The symptom information calculated according to the correlation index is predicted.

11 and 12, in the case of the mobile communication unit 110, after arranging predetermined information in a binary sequence, a random noise signal is generated and inserted at a predetermined position in the binary sequence. Information on the predetermined position of the noise signal and the arbitrary noise signal itself is provided to the system communication unit 202.

Correspondingly, the system communication unit 202 of the analyzing unit 200 filters out the random noise signal from the binary sequence in which the random noise signal is inserted from the mobile communication unit 110, and then restores the binary sequence having predetermined information. It is done.

The scope of the rights of the present invention is determined by the matters described in the claims, and the parentheses used in the claims are not described for selective limitation, but are used for clear elements, and descriptions in parentheses are also interpreted as essential elements. It should be.

100: mobile unit
110: mobile communication department
120: biometric information acquisition unit
130: condition information acquisition unit
140: Environmental Information Acquisition Department
150: symptom information acquisition unit
160: symptom information alarm unit
200: analyzing unit
202: system communication department
210: biometric information receiving unit
220: condition information receiving unit
230: environmental information receiver
240: symptom information receiver
250: correlation index analysis unit
260: symptom prediction unit

Claims (10)

A mobile unit that receives predetermined information from a user, transmits the predetermined information to an external server, and informs the user of the health information when health information based on the predetermined information is received from the external server; And
An analyzing unit corresponding to the external server that receives the predetermined information from the mobile unit, analyzing the predetermined information, calculating health information predicted to the user, and transmitting the health information to the mobile unit. It characterized in that it comprises, health information prediction alarm system.
The method of claim 1, wherein the mobile unit,
A mobile communication unit that transmits the predetermined information to the analyzing unit and receives the health information from the analyzing unit;
A biometric information acquisition unit receiving the user's biometric information from the user and forming the input biometric information as part of the predetermined information;
A condition information acquisition unit that receives the user's condition information from the user and forms the input condition information as part of the predetermined information; And
And a symptom information acquisition unit receiving the user's symptom information from the user and forming the received symptom information as part of the predetermined information.
The method of claim 2, wherein the mobile unit,
And an environment information acquisition unit configured to receive the user's environment information from the user and form the received environment information as part of the predetermined information.
The method of claim 3, wherein the analyzing unit,
A system communication unit that receives the predetermined information from the mobile unit and transmits the health information to the mobile unit;
A biometric information receiving unit for receiving the biometric information from the biometric information obtaining unit;
A condition information receiving unit for receiving the condition information from the condition information obtaining unit; And
And a symptom information receiving unit receiving the symptom information from the symptom information obtaining unit.
The method of claim 4, wherein the analyzing unit,
The health information prediction alarm system, characterized in that it further comprises an environment information receiving unit for receiving the environment information from the environment information obtaining unit.
The method of claim 2,
The biometric information,
Includes at least one or more of the user's date of birth information, gender information, weight information, blood type information, height information, or body composition information,
The above condition information,
Including at least one or more of the user's intake food information, predetermined behavior information, exercise information, and sleep condition information,
The symptom information above is,
The health information prediction alarm system comprising at least one of the user's body pain information, body sensory abnormality information, disease disease information, or urination abnormality information.
The method of claim 3, wherein the environmental information,
Including at least one or more of date information, time information, time information, location information, or weather information,
The above weather information,
It includes at least one or more of temperature information, humidity information, atmospheric pressure information, precipitation information, air quality information, air volume information, or wind speed information according to the time information,
The air quality information,
According to the time information, characterized in that it comprises pollen concentration information or fine dust concentration information, health information prediction alarm system.
The method of claim 5, wherein the analyzing unit,
The condition information or the environmental information that is repeatedly matched with the symptom information is given a weight to continuously update the correlation, and based on the biometric information, the condition information and the environmental information caused by the symptom information A correlation index analysis unit that individually analyzes the correlation; And
On the basis of the biometric information, when the event information matching the condition information and the environmental information is input, further comprising a symptom prediction unit for predicting symptom information calculated according to a correlation index between the condition information and the environmental information. That, health information prediction alarm system.
The method of claim 2, wherein the mobile communication unit,
After arranging the predetermined information in a binary sequence, a random noise signal is generated and inserted at a predetermined position in the binary sequence, and the predetermined position of the random noise signal and the information of the random noise signal itself are stored. Health information prediction alarm system, characterized in that provided to the system communication unit.
The method of claim 9, wherein the system communication unit,
After filtering out the random noise signal from the binary sequence into which the random noise signal is inserted from the mobile communication unit, the binary sequence having predetermined information is restored.

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