Health detection analysis method and system based on data analysis

Abstract

The invention relates to the technical field of intelligent equipment, in particular to a health detection analysis method and system based on data analysis, and the analysis system comprises a database module, a data acquisition module and a data processing module. The database module comprises a health database and a disease database. The data acquisition module comprises wearable equipment, a micro-control unit, a user authentication unit and a detection unit, the micro-control unit is connected with the disease database, the user authentication unit is connected with the micro-control unit, and the detection unit is connected with the micro-control unit, so that various index data information of a user is obtained through the detection unit. The data processing module comprises a data receiving unit and a data processor, the data receiving unit is connected with the data processor and the detection unit, and the data processor is connected with the database module. According to the invention, the disease database which can be updated in real time is established, and the abnormal indexes are compared with the information in the disease database by detecting the information of each index of the user, so that the disease pre-diagnosis of the user is realized.

Description

Technical Field

[0001] The present invention relates to the technical field of intelligent devices, and in particular to a health detection and analysis method and system based on data analysis. Background Art

[0002] With the development and progress of science and technology, intelligent devices have been popularized in more and more fields, including the field of health monitoring. For example, common bracelets are equipped with health detection systems. However, the existing health detection system has a simple architecture and only has basic functions. It cannot perform comprehensive detection of the user's health status and cannot analyze the abnormal status of the user's indicators.

[0003] The technical solution disclosed in the Chinese patent with announcement number CN105054900B can monitor various health parameters of the disease by using a smart bracelet at the front end, and feedback the diagnosis results after diagnosis by the diagnostic instrument. Therefore, it has the advantages of convenience and low cost, and can obtain the health status of the pilot in time. At the same time, the health information collected by the smart bracelet is related to the current coordinate position of the pilot, and the diagnosis result of the diagnostic instrument will also be adjusted according to the coordinate position of the pilot, thereby ensuring that the diagnosis result is more effective and accurate.

[0004] However, the system still has some shortcomings: the system collects user health parameter information through the front-end smart bracelet, and then feeds the parameter information back to the diagnostic instrument, which compares the feedback results to obtain the diagnosis result. Its efficiency is low, and the system lacks the function of monitoring the user's liver organ, resulting in narrow data information and inability to make timely diagnosis of liver organ diseases. Summary of the invention

[0005] The purpose of the present invention is to address the problems existing in the background technology and to propose a health detection and analysis method and system based on data analysis.

[0006] Technical solution of the present invention: On the one hand, the present invention proposes a health detection and analysis system based on data analysis, including a database module, a data acquisition module and a data processing module;

[0007] The database module includes a health database used as a reference for user indicators and a disease database used to compare user indicator information under different disease conditions;

[0008] The data acquisition module includes a wearable device, an independent microcontroller unit, a user authentication unit and a detection unit, wherein the microcontroller unit, the user authentication unit and the detection unit are all connected to the wearable device; the microcontroller unit is connected to the disease database, the user authentication unit is electrically connected to the microcontroller unit, and the detection unit is electrically connected to the microcontroller unit, so as to obtain the health status of the user's internal organs and various data information through the detection unit;

[0009] The data processing module comprises a data receiving unit and a data processor, the data receiving unit is connected to the data processor and the detection unit, and the data processor is connected to the database module.

[0010] Preferably, a network module is provided in the wearable device, and the micro control unit is connected to the disease database through the network module to obtain new disease database information after the disease database is updated.

[0011] Preferably, a warning module is provided in the wearable device, the warning module includes a signal sending unit, the signal sending unit is electrically connected to the micro control unit, and the signal sending unit sends abnormal health status information of the user to a remote control center or a guardian through a network module.

[0012] Preferably, the warning module also includes a data display unit and an alarm unit, the data display unit includes a display screen, the display screen is arranged on the wearable device and is electrically connected to the microcontroller unit; the alarm unit includes a warning light and a vibration motor, both of which are connected to the wearable device, and both of which are electrically connected to the microcontroller unit.

[0013] On the other hand, the present invention also proposes a health detection and analysis method based on the above health analysis system, comprising the following steps:

[0014] S1. Build a disease database.

[0015] S2. Connect the microcontroller unit of the wearable device to the disease database via the Internet, and update it in real time according to the information changes in the disease database.

[0016] S3. The user completes information authentication through the authentication unit. After the information authentication is passed, the wearable device is connected to the user and automatically sets the period of emitting Hertz sound waves.

[0017] S4. The detection unit of the wearable device contacts the user through a probe and emits Hertz sound waves to the user's internal organs. The Hertz sound waves resonate with the user's internal organs to obtain various indicators of the health status of the patient's internal organs.

[0018] S5. The data receiving unit receives the collected information of various health indicators of the user and transmits it to the data processor, which integrates the abnormal data.

[0019] S6. The abnormal indicator information is compared with the disease database information, a pre-diagnosis is performed on the user's current condition, and the user's current pre-diagnosis result is displayed.

[0020] Preferably, in S1, the following operations are also included:

[0021] S101. Collect information on various physical health indicators of multiple groups of healthy people of different genders and age groups, and aggregate the information of each group to build a health database.

[0022] S102, collecting information on various physical health indicators of multiple groups of patients of different genders and age groups, and aggregating the information of each group to build a health database.

[0023] S103. Classify and summarize abnormal data and build a disease database.

[0024] Preferably, in S6, while displaying the user's current pre-diagnosis result, the following operations are also included:

[0025] S601. The alarm unit emits warning lights of different frequencies according to the pre-diagnosis result, and emits vibrations of different frequencies according to the pre-diagnosis result.

[0026] S602: The signal sending unit sends a user status abnormality signal to the remote control center or the guardian.

[0027] Compared with the prior art, the present invention has the following beneficial technical effects:

[0028] By building a health database, the health database provides a reference range of various health indicators of the human body, and by building a disease database, the disease database and the health database are mutually verified, so as to obtain the corresponding changes in health parameters under different diseases, and obtain the corresponding diseases under various different indicator change ranges; by setting a data acquisition module, the probe in the data acquisition module is used to emit Hertz sound waves to the human body, so as to obtain the user's internal organ data, and then when the human body's internal organ data is pathological, the resonance information is compared with the database information in real time, so as to make a pre-diagnosis of the user in time. At the same time, the present invention also issues a warning in time when the user has a disease, and the warning level is automatically matched according to the degree of the user's disease. BRIEF DESCRIPTION OF THE DRAWINGS

[0029] Figure 1 It is a principle block diagram of the present invention;

[0030] Figure 2 A flow chart of a health detection and analysis method based on data analysis in the present invention;

[0031] Figure 3 To build Figure 2 Flowchart of the method for disease database in China;

[0032] Figure 4 A flowchart of the system issuing an alarm after a pre-diagnosis result occurs. DETAILED DESCRIPTION

[0033] Embodiment 1

[0034] like Figure 1 As shown, a health detection and analysis system based on data analysis proposed by the present invention includes a database module, a data acquisition module and a data processing module;

[0035] The database module includes a health database used as a reference for user indicators and a disease database used to compare user indicator information under different disease conditions;

[0036] The data acquisition module includes a wearable device, an independent microcontroller unit, a user authentication unit and a detection unit, and the microcontroller unit, the user authentication unit and the detection unit are all connected to the wearable device; a network module is set in the wearable device, and the microcontroller unit is connected to the disease database through the network module to obtain new disease database information after the disease database is updated; the user authentication unit is electrically connected to the microcontroller unit to complete the comparison of user information through the user authentication unit, and obtain the use authority after the user passes the authentication; the detection unit is electrically connected to the microcontroller unit to emit Hertz sound waves to the user through the detection unit, and obtain the health status of the user's internal organs and various data information such as blood pressure, blood oxygen saturation, heart rate, body temperature, etc. through the resonance of the Hertz sound waves and the user's internal organs;

[0037] The data processing module includes a data receiving unit and a data processor. The data receiving unit is connected to the data processor and the detection unit. The data processor is connected to the database module through the micro control unit and the network module. An alarm module is set in the wearable device. The alarm module includes a signal sending unit. The signal sending unit is electrically connected to the micro control unit. The signal sending unit sends abnormal information about the user's health status to the remote control center or the guardian through the network module. The alarm module also includes a data display unit and an alarm unit. The data display unit includes a display screen. The display screen is set on the wearable device and is electrically connected to the micro control unit; the alarm unit includes a warning light and a vibration motor. The warning light and the vibration motor are both connected to the wearable device, and the warning light and the vibration motor are both electrically connected to the micro control unit.

[0038] In this embodiment, the most important thing about the whole system is the establishment of a disease database, which collects abnormal indicator information of patients with multiple groups of different diseases, determines the types of diseases corresponding to different abnormal indicators, and establishes a disease database to facilitate subsequent reference. The disease database is updated in real time, which can improve the accuracy of data reference. When the system detects that the user's indicator information is abnormal and reaches the numerical range corresponding to a certain disease, the system automatically obtains the patient's disease information, and can also select warning light alarm, vibration alarm or remote emergency alarm according to the severity of the disease, and responds more quickly. In terms of details, this system does not set a voice broadcast function on the wearable device, thereby effectively protecting the user's privacy.

[0039] Embodiment 2

[0040] like Figure 2-Figure 4 As shown, the present invention proposes a health detection and analysis method based on the health detection and analysis system described in Example 1, including the following:

[0041] S101. Collect information on various physical health indicators of multiple groups of healthy people of different genders and age groups, and aggregate the information of each group to build a health database. Record the health data information of at least 5 groups of different healthy people of the same gender and age group to determine the range of health indicator parameters based on multiple groups of data.

[0042] S102. Collect information on various physical health indicators of multiple groups of patients of different genders and age groups, and aggregate the information of each group to build a health database. Record at least 5 groups of indicator information corresponding to each disease state, so as to determine the changes in health indicators of patients under the same disease state based on multiple groups of data.

[0043] S103. Classify and summarize abnormal data and build a disease database.

[0044] S2. Connect the microcontroller unit of the wearable device to the disease database via the Internet, and update it in real time according to the information changes in the disease database.

[0045] S3. The user completes information authentication through the authentication unit. After the information authentication is passed, the wearable device is connected to the user and automatically sets the period of emitting Hertz sound waves.

[0046] S4. The detection unit of the wearable device contacts the user through a probe and emits Hertz sound waves to the user's internal organs. The Hertz sound waves resonate with the user's internal organs to obtain various indicators of the health status of the patient's internal organs.

[0047] S5. The data receiving unit receives the collected information of various health indicators of the user and transmits it to the data processor, which integrates the abnormal data.

[0048] S6. The abnormal indicator information is compared with the disease database information, a pre-diagnosis is performed on the user's current condition, and the user's current pre-diagnosis result is displayed.

[0049] S601. The alarm unit emits warning lights of different frequencies according to the pre-diagnosis result, and emits vibrations of different frequencies according to the pre-diagnosis result.

[0050] S602: The signal sending unit sends a user status abnormality signal to the remote control center or the guardian.

[0051] The embodiments of the present invention are described in detail above with reference to the accompanying drawings, but the present invention is not limited thereto, and various changes can be made within the knowledge scope of technicians in the relevant technical field without departing from the purpose of the present invention.

Claims

1. A health detection and analysis system based on data analysis, characterized in that: It includes database module, data acquisition module and data processing module; The database module includes a health database used as a reference for user indicators and a disease database used to compare user indicator information under different disease conditions; The data acquisition module includes a wearable device, an independent microcontroller unit, a user authentication unit and a detection unit, wherein the microcontroller unit, the user authentication unit and the detection unit are all connected to the wearable device; the microcontroller unit is connected to the disease database, the user authentication unit is electrically connected to the microcontroller unit, and the detection unit is electrically connected to the microcontroller unit, so as to obtain the health status of the user's internal organs and various data information through the detection unit; The data processing module comprises a data receiving unit and a data processor, the data receiving unit is connected to the data processor and the detection unit, and the data processor is connected to the database module.

2. A health detection and analysis system based on data analysis according to claim 1, characterized in that: A network module is set in the wearable device, and the micro control unit is connected to the disease database through the network module to obtain new disease database information after the disease database is updated.

3. A health detection and analysis system based on data analysis according to claim 2, characterized in that: A warning module is set in the wearable device, and the warning module includes a signal sending unit. The signal sending unit is electrically connected to the micro control unit, and the signal sending unit sends abnormal user health status information to a remote control center or a guardian through a network module.

4. A health detection and analysis system based on data analysis according to claim 3, characterized in that: The warning module also includes a data display unit and an alarm unit. The data display unit includes a display screen, which is arranged on the wearable device and electrically connected to the microcontroller unit; the alarm unit includes a warning light and a vibration motor, both of which are connected to the wearable device, and both of which are electrically connected to the microcontroller unit.

5. A health detection and analysis method, using the health detection and analysis system based on data analysis according to any one of claims 1 to 4, characterized in that: The following steps are involved: S1. Build a disease database; S2, connecting the microcontroller unit of the wearable device to the disease database via the Internet, and updating it in real time according to changes in information in the disease database; S3. The user completes information authentication through the authentication unit. After the information authentication is passed, the wearable device is connected to the user and automatically sets the period of emitting Hertz sound waves; S4. The detection unit of the wearable device contacts the user through a probe and emits Hertz sound waves to the user's internal organs. The Hertz sound waves resonate with the user's internal organs to obtain various indicators of the health status of the patient's internal organs; S5, the data receiving unit receives the collected information of various health indicators of the user and transmits it to the data processor, and the data processor integrates the abnormal data; S6. The abnormal indicator information is compared with the disease database information, a pre-diagnosis is performed on the user's current condition, and the user's current pre-diagnosis result is displayed.

6. A health detection and analysis method based on data analysis according to claim 5, characterized in that: In S1, the following operations are included: S101, collecting various health index information of multiple groups of healthy people of different genders and age groups, and aggregating the information of each group to build a health database; S102, collecting various health index information of multiple groups of healthy people of different genders and age groups, and aggregating the information of each group to build a health database; S103. Classify and summarize abnormal data and build a disease database.

7. The health detection and analysis method based on data analysis according to claim 5, characterized in that: In S6, while displaying the user's current pre-diagnosis result, the following operations are also included: S601, the alarm unit emits warning lights of different frequencies according to the pre-diagnosis result, and emits vibrations of different frequencies according to the pre-diagnosis result; S602: The signal sending unit sends a user status abnormality signal to the remote control center or the guardian.

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