Intelligent auxiliary hypertension health management system for traditional Chinese medicine pulse diagnosis

Abstract

The invention discloses a traditional Chinese medicine pulse diagnosis intelligent auxiliary hypertension health management system, which comprises a terminal docking module, a data arrangement module, a remote supervision module, a central processing module, a storage library module, an expert doctor seeing module and a health management module, the data arrangement module is in control connection with the remote supervision module; according to the invention, the terminal docking module is used for docking the acquisition terminal and regularly acquiring the pulse condition data of the patient, and the expert doctor seeing module is used for remote diagnosis, so that the real-time diagnosis of the remote pulse condition is realized, and the doctor seeing efficiency of the patient is improved; in the long-term use process, the storage library module is used for storing pulse condition data, movement conditions and sleeping and feeding conditions of the patient, the health management module is matched to provide a long-term targeted health management scheme for the user in combination with user habits in the later period, personalized medical services can be provided for the user, and the practicability of the system is improved.

Description

Technical Field

[0001] The present invention relates to the technical field of medical assistance systems, and particularly to an intelligent auxiliary hypertension health management system for traditional Chinese medicine pulse diagnosis. Background Art

[0002] Hypertension is a common chronic disease, known as the "silent killer" because it usually has no obvious symptoms. However, long-term uncontrolled hypertension can lead to serious cardiovascular diseases and other health problems. Hypertension is a major risk factor for many serious diseases. Long-term uncontrolled hypertension may cause various diseases. If hypertensive patients can control their blood pressure through health management, they can avoid problems such as disability and reduced quality of life caused by complications. The existing hypertension diagnosis requires patients to go to a specialized diagnosis institution, which affects the medical treatment efficiency of patients. Traditional Chinese medicine pulse diagnosis, as an important approach in the field of traditional Chinese medicine treatment, can effectively monitor the blood pressure status of patients. However, the existing pulse diagnoses all need to be carried out on-site, making it difficult to take into account the daily conditions of patients and unable to provide personalized auxiliary medical services for users, thus affecting the practicability of the system. Therefore, it is necessary to design an intelligent auxiliary hypertension health management system for traditional Chinese medicine pulse diagnosis. Summary of the Invention

[0003] The purpose of the present invention is to provide an intelligent auxiliary hypertension health management system for traditional Chinese medicine pulse diagnosis to solve the existing technical defects.

[0004] To solve the above technical problems, the present invention provides the following technical solution: An intelligent auxiliary hypertension health management system for traditional Chinese medicine pulse diagnosis, including a terminal docking module, a data sorting module, a remote supervision module, a central processing module, a repository module, an expert consultation module, and a health management module. The terminal docking module is controllably connected to the data sorting module, the data sorting module is controllably connected to the remote supervision module, the remote supervision module is controllably connected to the central processing module, and the central processing module is respectively controllably connected to the repository module, the expert consultation module, and the health management module.

[0005] As a further technical solution of the present invention, the data sorting module consists of an interrogation feedback module, a data receiving module, a pulse condition data module, a user input module, a rationality analysis module, a record processing module, a data output module, and a temporary storage module. The interrogation feedback module is controllably connected to the data receiving module, and the data receiving module is respectively controllably connected to the pulse condition data module and the user input module.

[0006] As a further technical solution of the present invention, both the pulse condition data module and the user input module are controllably connected to the rationality analysis module, and the rationality analysis module is controllably connected to the record processing module. The record processing module is respectively controllably connected to the data output module and the temporary storage module.

[0007] As a further technical solution of the present invention, the remote supervision module is composed of a data packaging module, an encryption processing module, an integrity analysis module, a decryption and restoration module, a transmission output module, and an exception feedback module. The integrity analysis module is controllably connected to the exception feedback module, and the exception feedback module is controllably connected to the transmission output module.

[0008] As a further technical solution of the present invention, the data packaging module is controllably connected to the encryption processing module, the encryption processing module is controllably connected to the integrity analysis module, the integrity analysis module is controllably connected to the decryption and restoration module, and the decryption and restoration module is controllably connected to the transmission output module.

[0009] As a further technical solution of the present invention, the health management module is composed of a historical call module, a health analysis module, a cloud docking module, a behavior analysis module, a solution generation module, a feature retrieval module, and a management output module. The historical call module is respectively controllably connected to the health analysis module and the behavior analysis module.

[0010] As a further technical solution of the present invention, the behavior analysis module is controllably connected to the solution generation module, the solution generation module is controllably connected to the management output module, the management output module is controllably connected to the health analysis module, the health analysis module is controllably connected to the cloud docking module, the cloud docking module is controllably connected to the feature retrieval module, and the feature retrieval module is controllably connected to the behavior analysis module.

[0011] The invention provides a traditional Chinese medicine pulse diagnosis intelligent auxiliary hypertension health management system, which has the advantages of: docking the acquisition terminal through the terminal docking module, regularly collecting the pulse data of the patient, receiving the data through the data receiving module, and eliminating invalid data after transmitting to the pulse data module in combination with the rationality analysis module, then marking the data acquisition time through the recording processing module, and temporarily storing the pulse data through the data output module while transmitting the data, and transmitting the collected pulse rate, pulse position, pulse shape and pulse strength data to the central processing module after the terminal is connected to the network, and remote diagnosis is performed by the expert consultation module, and the diagnosis structure is matched with the consultation feedback module to feed back to the acquisition terminal in real time, so that real-time diagnosis of remote pulse can be realized, thereby improving the medical treatment efficiency of the patient; during long-term use, the patient's pulse data is stored by the storage module, and the user inputs the motion in the user input module. The pulse data, exercise status, sleep and eating conditions are collected and recorded in the recording and processing module, and the corresponding time input by the user is marked in the recording and processing module in synchronization. The data is stored in the storage module through the remote supervision module and the central processing module. Later, the pulse data, exercise status, sleep and eating conditions are called through the history calling module in the health management module, and sent to the health analysis module and the behavior analysis module respectively. The health analysis module analyzes the user's long-term health status in combination with the big data information in the cloud docking module. At the same time, the behavior analysis module retrieves the corresponding behavior cases from the cloud docking module through the feature retrieval module, and generates the corresponding life habit adjustment plan in combination with the plan generation module. Finally, the management output module is fed back to the central processing module, and synchronously fed back to the terminal docking module, so as to provide users with long-term and targeted health management plans in combination with user habits in the later stage, provide users with personalized medical services, and improve the practicality of the system. BRIEF DESCRIPTION OF THE DRAWINGS

[0012] In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings required for use in the embodiments or the description of the prior art will be briefly introduced below. Obviously, the drawings described below are some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying creative work.

[0013] Figure 1 is a system flow chart of the present invention;

[0014] Figure 2 This is a schematic diagram of the architecture of the data sorting module in the present invention;

[0015] Figure 3 This is a schematic diagram of the architecture of the remote monitoring module in the present invention;

[0016] Figure 4 This is a schematic diagram of the architecture of the health management module in the present invention.

[0017] In the figure: 1. Terminal docking module; 2. Data sorting module; 3. Remote supervision module; 4. Central processing module; 5. Repository module; 6. Expert consultation module; 7. Health management module; 21. Inquiry feedback module; 22. Data receiving module; 23. Pulse condition data module; 24. User input module; 25. Rationality analysis module; 26. Record processing module; 27. Data output module; 28. Temporary storage module; 31. Data packaging module; 32. Encryption processing module; 33. Integrity analysis module; 34. Decryption and restoration module; 35. Transmission output module; 36. Abnormality feedback module; 71. Historical call module; 72. Health analysis module; 73. Cloud docking module; 74. Behavior analysis module; 75. Solution generation module; 76. Feature retrieval module; 77. Management output module. Detailed implementation manners

[0018] To make the objectives, technical solutions and advantages of the embodiments of the present invention clearer, the technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are some but not all of the embodiments of the present invention. All other embodiments obtained by those of ordinary skill in the art based on the embodiments of the present invention without creative efforts shall fall within the protection scope of the present invention.

[0019] Please refer to the attached Figure 1 - attached Figure 4, an embodiment provided by the present invention: a traditional Chinese medicine pulse diagnosis intelligent auxiliary hypertension health management system, including a terminal docking module 1, a data sorting module 2, a remote supervision module 3, a central processing module 4, a repository module 5, an expert consultation module 6, and a health management module 7. The terminal docking module 1 is controllably connected to the data sorting module 2, the data sorting module 2 is controllably connected to the remote supervision module 3, the remote supervision module 3 is controllably connected to the central processing module 4, and the central processing module 4 is respectively controllably connected to the repository module 5, the expert consultation module 6, and the health management module 7; the data sorting module 2 consists of an interrogation feedback module 21, a data receiving module 22, a pulse condition data module 23, a user input module 24, a rationality analysis module 25, a record processing module 26, a data output module 27, and a temporary storage module 28. The interrogation feedback module 21 is controllably connected to the data receiving module 22, and the data receiving module 22 is respectively controllably connected to the pulse condition data module 23 and the user input module 24; both the pulse condition data module 23 and the user input module 24 are controllably connected to the rationality analysis module 25, and the rationality analysis module 25 is controllably connected to the record processing module 26. The record processing module 26 is respectively controllably connected to the data output module 27 and the temporary storage module 28; the remote supervision module 3 consists of a data packaging module 31, an encryption processing module 32, an integrity analysis module 33, a decryption and restoration module 34, a transmission output module 35, and an exception feedback module 36. The integrity analysis module 33 is controllably connected to the exception feedback module 36, and the exception feedback module 36 is controllably connected to the transmission output module 35; the data packaging module 31 is controllably connected to the encryption processing module 32, the encryption processing module 32 is controllably connected to the integrity analysis module 33, the integrity analysis module 33 is controllably connected to the decryption and restoration module 34, and the decryption and restoration module 34 is controllably connected to the transmission output module 35; the health management module 7 consists of a historical call module 71, a health analysis module 72, a cloud docking module 73, a behavior analysis module 74, a plan generation module 75, a feature retrieval module 76, and a management output module 77. The historical call module 71 is respectively controllably connected to the health analysis module 72 and the behavior analysis module 74; the behavior analysis module 74 is controllably connected to the plan generation module 75, the plan generation module 75 is controllably connected to the management output module 77, the management output module 77 is controllably connected to the health analysis module 72, the health analysis module 72 is controllably connected to the cloud docking module 73, the cloud docking module 73 is controllably connected to the feature retrieval module 76, and the feature retrieval module 76 is controllably connected to the behavior analysis module 74. The feature retrieval module 76 can retrieve the corresponding feature file from the big data background of the cloud docking module 73 in combination with the behavior characteristics in the behavior analysis module 74 to provide theoretical guidance for the analysis;

[0020] Specifically, during use, the terminal docking module 1 is used to dock the acquisition terminal, the pulse data of the patient is regularly collected, and the data receiving module 22 is used to receive the data. After the data is transmitted to the pulse data module 23, the rationality analysis module 25 is matched to eliminate invalid data, and then the acquisition time of the data is marked by the record processing module 26. While the data output module 27 transmits the data, the pulse data is temporarily stored by the temporary storage module 28. After the terminal is connected to the network, the collected pulse rate, pulse position, pulse shape and pulse potential data can be transmitted to the central processing module 4, and the expert consultation module 6 performs remote diagnosis. The diagnosis structure is matched with the consultation feedback module 21 to feed back to the acquisition terminal in real time, so that the real-time diagnosis of the remote pulse can be realized, and the medical treatment efficiency of the patient is improved; during long-term use, the patient's pulse data is stored by the storage library module 5, and the user inputs the movement status and sleep and eating status in the user input module 24, and the synchronous matching record module 28 is used to store the pulse data. The recording processing module 26 marks the corresponding time input by the user, and stores it in the storage module 5 through the remote supervision module 3 and the central processing module 4. Later, the pulse data, exercise status, sleep and eating status are called through the history calling module 71 in the health management module 7, and sent to the health analysis module 72 and the behavior analysis module 74 respectively. The health analysis module 72 analyzes the user's long-term health status in combination with the big data information in the cloud docking module 73. At the same time, the behavior analysis module 74 retrieves the corresponding behavior mode case from the cloud docking module 73 through the feature retrieval module 76, and generates the corresponding life habit adjustment plan with the solution generation module 75, and finally feeds back to the central processing module 4 with the management output module 77, and synchronously feeds back to the terminal docking module 1, so as to provide users with long-term and targeted health management plans in combination with user habits in the later stage, provide users with personalized medical services, and improve the practicality of the system.

[0021] In the description of the present invention, it should be noted that, unless otherwise clearly specified and limited, the terms "installed", "connected", and "connected" should be understood in a broad sense, for example, it can be a fixed connection, a detachable connection, or an integral connection; it can be a mechanical connection or an electrical connection; it can be a direct connection, or it can be indirectly connected through an intermediate medium, or it can be the internal communication of two components. For ordinary technicians in this field, the specific meanings of the above terms in the present invention can be understood according to specific circumstances.

[0022] The device embodiments described above are merely illustrative. The units described as separate components may or may not be physically separated, and the components shown as units may or may not be physical units, that is, they may be located in one place or distributed to multiple network units. Some or all of the modules can be selected according to actual needs to achieve the purpose of the solution of this embodiment. Those of ordinary skill in the art can understand and implement it without creative efforts.

[0023] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention and are not intended to limit them. Although the present invention has been described in detail with reference to the foregoing embodiments, those of ordinary skill in the art should understand that they can still modify the technical solutions described in the foregoing embodiments or equivalently replace some of the technical features. These modifications or replacements do not cause the essence of the corresponding technical solutions to deviate from the spirit and scope of the technical solutions of the embodiments of the present invention.

Claims

1. A TCM pulse diagnosis intelligent assisted hypertension health management system, comprising a terminal docking module (1), a data sorting module (2), a remote monitoring module (3), a central processing module (4), a storage library module (5), an expert consultation module (6) and a health management module (7), characterized in that: The terminal docking module (1) controls the connection to the data sorting module (2), the data sorting module (2) controls the connection to the remote monitoring module (3), the remote monitoring module (3) controls the connection to the central processing module (4), and the central processing module (4) controls the connection to the storage repository module (5), the expert consultation module (6) and the health management module (7).

2. According to claim 1, a TCM pulse diagnosis intelligent assisted hypertension health management system is characterized by: The data sorting module (2) is composed of a medical inquiry feedback module (21), a data receiving module (22), a pulse data module (23), a user input module (24), a rationality analysis module (25), a record processing module (26), a data output module (27) and a temporary storage module (28). The medical inquiry feedback module (21) controls the connection with the data receiving module (22), and the data receiving module (22) controls the connection with the pulse data module (23) and the user input module (24) respectively.

3. According to claim 2, a TCM pulse diagnosis intelligent assisted hypertension health management system is characterized by: The pulse data module (23) and the user input module (24) both control the connection to the rationality analysis module (25), and the rationality analysis module (25) controls the connection to the record processing module (26), and the record processing module (26) controls the connection to the data output module (27) and the temporary storage module (28).

4. According to claim 1, a TCM pulse diagnosis intelligent assisted hypertension health management system is characterized by: The remote monitoring module (3) is composed of a data packaging module (31), an encryption processing module (32), an integrity analysis module (33), a decryption and restoration module (34), a transmission output module (35) and an abnormality feedback module (36). The integrity analysis module (33) controls the connection to the abnormality feedback module (36), and the abnormality feedback module (36) controls the connection to the transmission output module (35).

5. According to claim 4, a TCM pulse diagnosis intelligent assisted hypertension health management system is characterized by: The data packaging module (31) controls the connection encryption processing module (32), the encryption processing module (32) controls the connection integrity analysis module (33), the integrity analysis module (33) controls the connection decryption and restoration module (34), and the decryption and restoration module (34) controls the connection transmission output module (35).

6. According to claim 1, a TCM pulse diagnosis intelligent assisted hypertension health management system is characterized by: The health management module (7) is composed of a history calling module (71), a health analysis module (72), a cloud connection module (73), a behavior analysis module (74), a solution generation module (75), a feature retrieval module (76) and a management output module (77), and the history calling module (71) controls the connection with the health analysis module (72) and the behavior analysis module (74) respectively.

7. The TCM pulse diagnosis intelligent assisted hypertension health management system according to claim 6, characterized in that: The behavior analysis module (74) controls the connection plan generation module (75), the plan generation module (75) controls the connection management output module (77), the management output module (77) controls the connection health analysis module (72), the health analysis module (72) controls the connection cloud docking module (73), the cloud docking module (73) controls the connection feature retrieval module (76), and the feature retrieval module (76) controls the connection behavior analysis module (74).

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