Automatic diagnosis method and system for neurosensory measurement

Abstract

The invention discloses an automatic diagnosis method and system for nerve sensory measurement, and particularly relates to the technical field of automation, and the method comprises the steps: S1, integrating a patient medical IC card, and obtaining a first nerve measurement key information value; s2, obtaining finger pulp information of the patient to be detected, and obtaining second nerve measurement key information according to the finger pulp information of the patient to be detected; s3, performing data preprocessing operation on the acquired second nerve measurement key information to obtain a second nerve measurement key information value; s4, obtaining a diagnostic analysis model, and obtaining a third nerve measurement key information value; s5, associating the first nerve measurement key information value, the second nerve measurement key information value and the third nerve measurement key information value to obtain measurement information of the patient to be measured; s6, the measurement information of the patient to be measured is displayed on an information interaction interface, a diagnosis report is generated, and related information is transmitted to a user information end. The finger pulp information of the patient to be detected is obtained in a non-invasive mode, and the method is more convenient and accurate.

Description

Technical Field

[0001] The present invention relates to the field of automation technology, and more particularly to an automated diagnosis method and system for nerve sensation measurement. Background Art

[0002] With the in-depth study of neuroscience, people have a clearer understanding of the structure and function of the nervous system, which provides a solid theoretical basis for the development of automated diagnostic methods and systems for nerve sensory measurement. With the rapid development of modern medicine, especially the advancement of electronic technology and information technology, the automation of nerve sensory measurement has become possible. These technologies provide strong support for data collection, processing and analysis; automated diagnostic methods and systems can evaluate nerve sensory function more accurately and objectively based on a large amount of clinical data and advanced algorithms, which helps to reduce human errors and uncertainties and improve the accuracy of diagnosis; monofilament touch, as an accurate sensory measurement method, has clinical significance in that it can quantitatively evaluate the patient's tactile sensitivity, especially in the detection of subtle tactile disorders. Through monofilament tactile measurement, doctors can objectively understand the status of the patient's tactile function and determine whether there is tactile reduction or loss, which provides an important basis for clinical diagnosis, formulation of treatment plans and evaluation of rehabilitation effects.

[0003] The traditional automated diagnostic system for nerve sensory measurement includes a patient's fingertips information acquisition module, a data storage module, a data preprocessing module, a feature extraction module, a diagnostic analysis module, and a result output module. The patient's fingertips information acquisition module is used to collect raw data from the nerve sensory measurement device; the data storage module is used to store the collected raw data; the data preprocessing module is used to perform preliminary cleaning, filtering and formatting of the collected raw data to eliminate noise and outliers; the feature extraction module is used to extract feature information meaningful to the nerve sensory measurement from the preprocessed data; the diagnostic analysis module is used to perform automated diagnosis of the nerve sensory state based on the extracted feature information; and the result output module is used to present the diagnostic results to the user in an intuitive and easy-to-understand manner. To a certain extent, the efficiency and accuracy of diagnosis are improved, and human errors are effectively reduced.

[0004] However, it still has some shortcomings in actual use, such as inaccurate data collection. When collecting fingertip information of patients to be tested, traditional automated diagnostic systems for neurosensory measurement use a limited number of probes, and cannot comprehensively collect fingertip information of patients to be tested, resulting in inaccurate collected data and failing to provide strong data support for subsequent analysis; it requires high labor costs. Traditional automated diagnostic systems for neurosensory measurement have high manpower requirements, and data collection and analysis require manual assistance, otherwise serious deviations will occur. Summary of the invention

[0005] In order to overcome the above-mentioned defects of the prior art, an embodiment of the present invention provides an automated diagnostic method and system for nerve sensation measurement, which solves the problems raised in the above-mentioned background technology through the following scheme.

[0006] To achieve the above object, the present invention provides the following technical solution: an automated diagnostic method for nerve sensation measurement, comprising the following steps:

[0007] S1: Integrate the patient's medical IC card, automatically enter the patient's personal information, and obtain the key information value of the first nerve measurement;

[0008] S2: obtaining finger pulp information of the patient to be tested, and obtaining key information of the second nerve measurement according to the finger pulp information of the patient to be tested;

[0009] S3: performing a data preprocessing operation on the collected second nerve measurement key information, wherein the preprocessing operation is used to obtain a second nerve measurement key information value corresponding to the second nerve measurement key information;

[0010] S4: Acquire a diagnostic analysis model, and obtain a third nerve measurement key information value by measuring the second nerve key information value according to the diagnostic analysis model;

[0011] S5: Correlate the first nerve measurement key information value, the second nerve measurement key information value, and the third nerve measurement key information value to obtain measurement information of the patient to be measured;

[0012] S6: Display the measurement information of the patient to be tested on the information interaction interface, generate a diagnosis report, and transmit the relevant information to the user information terminal.

[0013] Preferably, the step of obtaining the first neural measurement key information value is as follows:

[0014] A1: Confirm that the automatic diagnosis system is successfully connected to the IC card reader;

[0015] A2: Place the patient's medical IC card on the IC card reader;

[0016] A3: The automated diagnosis system sends instructions to the IC card reader through the API to read the data in the IC card;

[0017] A4: Verify and decrypt the data, obtain the patient's personal information, that is, the key information value of the first nerve measurement, and transmit it to the system operation database.

[0018] Preferably, the step of obtaining the fingertips information of the patient to be tested is as follows:

[0019] B1: Ensure that the sensor array and probe module in the patient's fingertips information acquisition module are in normal working condition, and check whether the connection and communication of the equipment are normal;

[0020] B2: The patient to be tested places his hand on the sensor array at the fingertips detection hole on the patient's fingertips information acquisition module;

[0021] B3: Control the detection and switching of the probe module through single chip control technology;

[0022] B4: The sensor array captures subtle changes in the fingertips in real time, collects the fingertips information of the patient to be tested, and uploads it to the system operation database.

[0023] Preferably, the acquisition of the key information of the second nerve measurement requires screening the fingertips information of the patient to be tested, ensuring that the screened information is directly related to the fingertips information of the patient to be tested, excluding information that is irrelevant to the fingertips and has low correlation, and setting screening criteria, which should be formulated according to treatment needs.

[0024] Preferably, obtaining the key information value of the second nerve measurement requires data preprocessing of the key information of the second nerve measurement, data cleaning of the fingertip information of the screened patients to be tested, removing repeated, redundant and invalid information, encoding and classification, obtaining the key information value of the second nerve measurement, and uploading it to the system operation database.

[0025] Preferably, the steps of obtaining the diagnostic analysis model are as follows:

[0026] C1: Collect fingertip information samples from multiple groups of patients and obtain the key information values ​​of the second nerve measurement corresponding to the samples;

[0027] C2: Obtain the patient's condition information database, and match the second nerve measurement key information value corresponding to the sample with the condition in the patient's condition information database;

[0028] C3: Obtain the disease condition corresponding to the second nerve measurement key information value, associate the second nerve measurement key information value with the corresponding disease condition to obtain a third nerve measurement key information value, and store it in the system operation database.

[0029] Preferably, the associating of the first nerve measurement key information value, the second nerve measurement key information value and the third nerve measurement key information value requires associating the personal information entered by the patient stored in the system operation database with the second nerve measurement key information value obtained by the detection and the third nerve measurement key information value obtained by the diagnostic analysis module, and obtaining and uploading them to the system operation database.

[0030] Preferably, the information interaction interface includes an interactive software touch screen and a diagnostic platform of the automated diagnostic system, the interactive software touch screen displays content including the patient's personal information, interactive options, and status information of the automated diagnostic system, and the diagnostic platform displays measurement information of the patient to be tested.

[0031] Preferably, an automated diagnostic system for nerve sensation measurement comprises a system operation database, a system central processor and a user information terminal, and also comprises: an information entry module, a patient finger pulp information collection module, a data preprocessing module, a diagnosis and analysis module, a comprehensive processing module and a human-computer interaction module;

[0032] The system operation database includes all data texts of the automated diagnosis system and collects information texts output by each module in real time; the system central processor is used to centrally control the information text instructions output by each module; the user information terminal is a device for receiving information output by the automated diagnosis system;

[0033] The information input module is used to integrate the patient's medical IC card, automatically input the patient's personal information, obtain the key information value of the first nerve measurement according to the patient's personal information, and transmit the result to the patient's finger pulp information collection module;

[0034] The patient finger pulp information acquisition module is used to obtain the finger pulp information of the patient to be tested, obtain the second nerve measurement key information according to the finger pulp information of the patient to be tested, and transmit the result to the data preprocessing module;

[0035] The data preprocessing module is used to perform data preprocessing operations on the collected second nerve measurement key information, obtain the second nerve measurement key information value corresponding to the second nerve measurement key information, and transmit the result to the diagnosis analysis module;

[0036] The diagnostic analysis module is used to establish a diagnostic analysis model, obtain a third nerve measurement key information value through the second nerve measurement key information value according to the diagnostic analysis model, and transmit the result to the comprehensive processing module;

[0037] The comprehensive processing module is used to associate the first nerve measurement key information value, the second nerve measurement key information value and the third nerve measurement key information value to obtain the measurement information of the patient to be measured, and transmit the result to the human-computer interaction module;

[0038] The human-computer interaction module is used to display the measurement information of the patient to be tested on the information interaction interface, generate a diagnosis report, and transmit relevant information to the user information terminal.

[0039] Preferably, the system operation database includes a patient personal information database, a patient fingertips information database, a patient diagnosis information database and a patient measurement information database; the user information terminal includes hospital-related computers, patient mobile phones and patient tablet computers.

[0040] Technical effects and advantages of the present invention:

[0041] 1. The present invention realizes the collection of personal information and fingertips information of the patient to be tested through the information entry module and the patient fingertips information collection module, uses the sensor array and switches different probes to realize automatic detection of the fingertips, and is based on a modular design in which a single device meets the requirements of the whole set of diagnostic process requirements of force perception, probe contact identification, vibration perception, and temperature perception. The patient's fingertips information collection module can collect information more accurately, and the patient information, fingertips information and diagnostic information are associated through the comprehensive processing module to generate a test report, which is convenient for doctors and patients to view in real time, and improves the accuracy of the automated diagnostic system;

[0042] 2. The present invention diagnoses the possible medical conditions of patients by automatically detecting the patient's fingertips information and performing preliminary analysis and diagnosis on the collected fingertips information through the data preprocessing module and the diagnosis analysis module, thereby providing convenience for doctors in the diagnosis process of patients, effectively saving labor costs, and improving the intelligence and convenience of the automated diagnosis system. BRIEF DESCRIPTION OF THE DRAWINGS

[0043] Figure 1 It is a schematic diagram of the method steps of the present invention.

[0044] Figure 2 It is a schematic diagram of the system flow of the present invention.

[0045] Figure 3 It is a schematic diagram of the steps of obtaining the fingertips information of the patient to be tested according to the present invention. DETAILED DESCRIPTION

[0046] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0047] As attached Figure 2 An automated diagnostic system for nerve sensory measurement shown includes a system operation database, a system central processing unit and a user information terminal, and also includes an information entry module, a patient fingertip information collection module, a data preprocessing module, a diagnostic analysis module, a comprehensive processing module and a human-computer interaction module.

[0048] The output end of the information entry module is connected to the input end of the patient's fingertip information collection module, the output end of the patient's fingertip information collection module is connected to the input end of the data preprocessing module, the output end of the data preprocessing module is connected to the input end of the diagnosis and analysis module, the output end of the diagnosis and analysis module is connected to the input end of the comprehensive processing module, the output end of the comprehensive processing module is connected to the input end of the human-computer interaction module, the output end of the system central processing unit is connected to the input end of each module, and the output end of each module is connected to the input end of the system operation database.

[0049] The system operation database includes all data texts of the automated diagnosis system and collects the information texts output by each module in real time; the system central processor is used to control the information text instructions output by each module; the user information terminal is a device for receiving information output from the automated diagnosis system.

[0050] The system operation database includes the patient personal information database, the patient fingertips information database, the patient diagnosis information database and the patient measurement information database; the user information terminal includes hospital-related computers, the patient's mobile phone and the patient's tablet computer.

[0051] What needs to be specifically explained in this embodiment is that the patient personal information database is used to store the patient personal information and the first nerve measurement key information value collected by the patient's medical IC card, the patient fingertip information database is used to store the patient's fingertip information and the second nerve measurement key information value, the patient diagnosis information database is used to store the patient's third nerve measurement key information value, and the patient measurement information database is used to store the patient's measurement information.

[0052] Information entry module: used to integrate the patient's medical IC card, automatically enter the patient's personal information, obtain the key information value of the first nerve measurement based on the patient's personal information, and pass the result to the patient's fingertips information collection module.

[0053] Furthermore, obtaining the key information value of the first nerve measurement requires determining whether the automated diagnosis system is successfully connected to the IC card reader, placing the patient's medical IC card on the IC card reader, and then the automated diagnosis system sends instructions to the IC card reader through the API, reads the data in the IC card, verifies and decrypts the data, obtains the patient's personal information, that is, the key information value of the first nerve measurement, and transmits it to the system operation database.

[0054] What needs to be specifically explained in this embodiment is that the patient's personal information includes basic identity information, contact information, medical insurance information and medical records, wherein the basic identity information specifically includes the patient's name, gender, date of birth, ID number, ethnicity and place of origin; the contact information specifically includes the patient's mobile phone number, email address and home address; the medical insurance information specifically includes the medical insurance account status, medical insurance type and medical insurance number; the medical records specifically include the patient's previous medical records, diagnosis information, prescription information and examination and test results.

[0055] Patient finger pulp information acquisition module: used to obtain the finger pulp information of the patient to be tested, obtain the key information of the second nerve measurement based on the finger pulp information of the patient to be tested, and pass the result to the data preprocessing module.

[0056] Furthermore, to obtain the fingertips information of the patient to be tested, it is necessary to ensure that the sensor array and probe module in the patient's fingertips information acquisition module are in normal working condition, and check whether the connection and communication of the equipment are normal; the patient to be tested places his hand on the sensor array at the fingertips detection hole on the patient's fingertips information acquisition module; the detection and switching of the probe module are controlled by the single-chip microcomputer control technology; the sensor array captures the subtle changes of the fingertips in real time, collects the fingertips information of the patient to be tested, and uploads it to the system operation database.

[0057] What needs to be specifically explained in this embodiment is that the fingertips are rich in nerve endings and are extremely sensitive to touch, temperature and other senses. When collecting fingertips information, the reaction of the sensory nerves is utilized to activate the fingertips sensory nerves through tactile stimulation, and the corresponding reaction of the patient to be tested is recorded; to ensure that the sensor array and probe module in the patient's fingertips information acquisition module are in normal working condition, the sensor array and probe module need to be calibrated regularly; to realize the control of the probe module by single-chip microcomputer technology, it is necessary to select a suitable single-chip microcomputer chip as the main control chip, configure the corresponding peripheral circuits, write the corresponding initialization program and probe module control program, and determine the communication between the single-chip microcomputer and the patient's fingertips information acquisition module.

[0058] Furthermore, to obtain the key information of the second nerve measurement, it is necessary to screen the fingertips information of the patient to be tested, ensure that the screened information is directly related to the fingertips information of the patient to be tested, exclude information that is irrelevant to the fingertips and has low relevance, and set screening criteria. The screening criteria should be formulated according to treatment needs.

[0059] It should be specifically explained in this embodiment that the screening criteria should be set according to the treatment needs, including skin integrity, blood circulation, sensory function and motor function. The skin integrity specifically includes whether the finger skin is damaged, ulcerated or infected; the blood circulation specifically includes the color, temperature and capillary filling of the finger; the sensory function specifically includes the touch, pain and temperature of the finger; the motor function specifically includes the flexion and extension and adduction and abduction of the fingers.

[0060] Data preprocessing module: used to perform data preprocessing operations on the collected second nerve measurement key information, obtain the second nerve measurement key information value corresponding to the second nerve measurement key information, and pass the result to the diagnosis and analysis module.

[0061] Furthermore, obtaining the key information value of the second nerve measurement requires data preprocessing of the key information of the second nerve measurement, data cleaning of the fingertip information of the screened patients to be tested, removing repeated, redundant and invalid information, encoding and classifying, obtaining the key information value of the second nerve measurement, and uploading it to the system operation database.

[0062] In this embodiment, it is necessary to specifically explain that the data encoding and classification requires the allocation of unique codes to specific items of fingertip information, where the specific items include skin integrity, blood circulation, sensory function, and motor function. Clear coding rules are formulated, including the structure, length, and naming rules of the code, to ensure the uniqueness, rationality, and scalability of the coding.

[0063] Diagnostic analysis module: used to establish a diagnostic analysis model, obtain the key information value of the third nerve measurement through the second nerve measurement key information value according to the diagnostic analysis model, and pass the result to the comprehensive processing module.

[0064] Furthermore, to obtain the diagnostic analysis model, it is necessary to collect fingertip information samples of multiple groups of patients to obtain the second nerve measurement key information values ​​corresponding to the samples; obtain the patient condition information database, and match the second nerve measurement key information values ​​corresponding to the samples with the conditions in the patient condition information database; obtain the condition corresponding to the second nerve measurement key information value, associate the second nerve measurement key information value with the corresponding condition to obtain the third nerve measurement key information value, and store it in the system operation database.

[0065] What needs to be specifically explained in this embodiment is that matching the key information value of the second nerve measurement with the condition in the patient's condition information database requires analyzing the patient's fingertip shape, color and feeling. Among them, the depression of the fingertip may indicate Chinese medicine diseases such as spleen and stomach weakness, insufficient qi and blood, and the protrusion of the fingertip may be related to pathological changes such as local inflammation, edema or tumors; red may indicate local inflammation or congestion, purple or dark red may indicate blood circulation disorders or congestion, and paleness may indicate anemia or local blood supply deficiency; pain may indicate local inflammation, nerve compression or damage, and numbness may indicate nerve dysfunction or blood circulation disorders. It should be noted that the diagnostic analysis module can only provide a preliminary judgment, which is for reference only. The specific condition needs to be analyzed in combination with the patient's specific medical history, symptoms and specific physical examination report.

[0066] Comprehensive processing module: used to associate the first nerve measurement key information value, the second nerve measurement key information value and the third nerve measurement key information value, obtain the measurement information of the patient to be tested, and transmit the result to the human-computer interaction module.

[0067] Furthermore, to associate the first nerve measurement key information value, the second nerve measurement key information value and the third nerve measurement key information value, it is necessary to associate the personal information entered by the patient and stored in the system operation database with the second nerve measurement key information value obtained by the test and the third nerve measurement key information value obtained by the diagnostic analysis module, and upload them to the system operation database.

[0068] What needs to be specifically explained in this embodiment is that the association mechanism of the first nerve measurement key information value, the second nerve measurement key information value and the third nerve measurement key information value needs to be established in the automated diagnosis system, and the three sets of information are associated through a unique patient identifier. The patient identifier refers to the patient's medical record number or ID number. Data encryption technology is used to transmit and store data to ensure that only authorized personnel can access patient information and protect the privacy and security of patients.

[0069] Human-computer interaction module: used to display the measurement information of the patient to be tested on the information interaction interface, generate a diagnosis report, and transmit relevant information to the user information terminal.

[0070] Furthermore, the information interaction interface includes an interactive software touch screen and a diagnostic platform of the automated diagnostic system, the interactive software touch screen displays content including the patient's personal information, interactive options, and status information of the automated diagnostic system, and the diagnostic platform displays measurement information of the patient to be tested.

[0071] In this embodiment, it is necessary to specifically explain that the diagnosis platform should display the real-time measured patient fingertips information and diagnosis status, and provide a query function for relevant doctors to view the patient's condition in real time. At the same time, the diagnosis platform should provide an export function for the patient's measurement information to generate a diagnosis report for the patient to be tested.

[0072] As attached Figure 1 As shown, this embodiment provides an automated diagnostic method for nerve sensation measurement, the steps are as follows:

[0073] S1: Integrate the patient's medical IC card, automatically enter the patient's personal information, and obtain the key information value of the first nerve measurement;

[0074] S2: obtaining finger pulp information of the patient to be tested, and obtaining key information of the second nerve measurement according to the finger pulp information of the patient to be tested;

[0075] S3: performing a data preprocessing operation on the collected second nerve measurement key information, wherein the preprocessing operation is used to obtain a second nerve measurement key information value corresponding to the second nerve measurement key information;

[0076] S4: Acquire a diagnostic analysis model, and obtain a third nerve measurement key information value by measuring the second nerve key information value according to the diagnostic analysis model;

[0077] S5: Correlate the first nerve measurement key information value, the second nerve measurement key information value, and the third nerve measurement key information value to obtain measurement information of the patient to be measured;

[0078] S6: Display the measurement information of the patient to be tested on the information interaction interface, generate a diagnosis report, and transmit the relevant information to the user information terminal.

[0079] As attached Figure 3 As shown, this embodiment provides a method for obtaining fingertip information of a patient to be tested, and the steps are as follows:

[0080] B1: Ensure that the sensor array and probe module in the patient's fingertips information acquisition module are in normal working condition, and check whether the connection and communication of the equipment are normal;

[0081] B2: The patient to be tested places his hand on the sensor array at the fingertips detection hole on the patient's fingertips information acquisition module;

[0082] B3: Control the detection and switching of the probe module through single chip control technology;

[0083] B4: The sensor array captures subtle changes in the fingertips in real time, collects the fingertips information of the patient to be tested, and uploads it to the system operation database.

[0084] Secondly: In the drawings of the embodiments disclosed in the present invention, only the structures related to the embodiments disclosed in the present invention are involved, and other structures can refer to the general design. In the absence of conflict, the same embodiment and different embodiments of the present invention can be combined with each other;

[0085] Finally: The above description is only a preferred embodiment of the present invention and is not intended to limit the present invention. Any modifications, equivalent substitutions, improvements, etc. made within the spirit and principles of the present invention should be included in the protection scope of the present invention.

Claims

1. An automated diagnostic method for neurosensory measurement, characterized in that: include: S1: Integrate the patient's medical IC card, automatically enter the patient's personal information, and obtain the key information value of the first nerve measurement; S2: obtaining finger pulp information of the patient to be tested, and obtaining key information of the second nerve measurement according to the finger pulp information of the patient to be tested; S3: performing a data preprocessing operation on the collected second nerve measurement key information, wherein the preprocessing operation is used to obtain a second nerve measurement key information value corresponding to the second nerve measurement key information; S4: Acquire a diagnostic analysis model, and obtain a third nerve measurement key information value by measuring the second nerve key information value according to the diagnostic analysis model; S5: Correlate the first nerve measurement key information value, the second nerve measurement key information value, and the third nerve measurement key information value to obtain measurement information of the patient to be measured; S6: Display the measurement information of the patient to be tested on the information interaction interface, generate a diagnosis report, and transmit the relevant information to the user information terminal.

2. An automated diagnostic method for neurosensory measurement according to claim 1, characterized in that: The steps of obtaining the first neural measurement key information value are as follows: A1: Confirm that the automatic diagnosis system is successfully connected to the IC card reader; A2: Place the patient's medical IC card on the IC card reader; A3: The automated diagnosis system sends instructions to the IC card reader through the API to read the data in the IC card; A4: Verify and decrypt the data, obtain the patient's personal information, that is, the key information value of the first nerve measurement, and transmit it to the system operation database.

3. The automated diagnostic method for neurosensory measurement according to claim 1, characterized in that: The steps of obtaining the finger pulp information of the patient to be tested are as follows: B1: Ensure that the sensor array and probe module in the patient's fingertips information acquisition module are in normal working condition, and check whether the connection and communication of the equipment are normal; B2: The patient to be tested places his hand on the sensor array at the fingertips detection hole on the patient's fingertips information acquisition module; B3: Control the detection and switching of the probe module through single chip control technology; B4: The sensor array captures subtle changes in the fingertips in real time, collects the fingertips information of the patient to be tested, and uploads it to the system operation database.

4. The automated diagnostic method for neurosensory measurement according to claim 1, characterized in that: The acquisition of the key information of the second nerve measurement requires screening the fingertips information of the patient to be tested, ensuring that the screened information is directly related to the fingertips information of the patient to be tested, excluding information that is irrelevant to the fingertips and has low relevance, and setting screening criteria, which should be formulated according to treatment needs.

5. The automated diagnostic method for neurosensory measurement according to claim 1, characterized in that: The acquisition of the second nerve measurement key information value requires data preprocessing of the second nerve measurement key information, data cleaning of the fingertips information of the screened patients to be tested, removal of repeated, redundant and invalid information, encoding and classification, obtaining the second nerve measurement key information value, and uploading it to the system operation database.

6. The automated diagnostic method for neurosensory measurement according to claim 1, characterized in that: The steps of obtaining the diagnostic analysis model are as follows: C1: Collect fingertip information samples from multiple groups of patients and obtain the key information values ​​of the second nerve measurement corresponding to the samples; C2: Obtain the patient's condition information database, and match the second nerve measurement key information value corresponding to the sample with the condition in the patient's condition information database; C3: Obtain the disease condition corresponding to the second nerve measurement key information value, associate the second nerve measurement key information value with the corresponding disease condition to obtain a third nerve measurement key information value, and store it in the system operation database.

7. An automated diagnostic method for nerve sensory measurement according to claim 1, characterized in that: The association of the first nerve measurement key information value, the second nerve measurement key information value and the third nerve measurement key information value requires associating the personal information entered by the patient and stored in the system operation database with the second nerve measurement key information value obtained by the detection and the third nerve measurement key information value obtained by the diagnostic analysis module, and obtaining and uploading them to the system operation database.

8. An automated diagnostic method for nerve sensory measurement according to claim 1, characterized in that: The information interaction interface includes an interactive software touch screen and a diagnostic platform of the automated diagnostic system. The display content of the interactive software touch screen includes the patient's personal information, interactive options, and status information of the automated diagnostic system. The diagnostic platform displays the measurement information of the patient to be tested.

9. An automated diagnostic system for nerve sensory measurement, comprising a system operation database, a system central processing unit and a user information terminal, according to any one of claims 1 to 8, wherein the automated diagnostic method for nerve sensory measurement is characterized in that: Also includes: Information entry module, patient finger information collection module, data preprocessing module, diagnosis and analysis module, comprehensive processing module and human-computer interaction module; The system operation database includes all data texts of the automated diagnosis system and collects information texts output by each module in real time; the system central processor is used to centrally control the information text instructions output by each module; the user information terminal is a device for receiving information output by the automated diagnosis system; The information input module is used to integrate the patient's medical IC card, automatically input the patient's personal information, obtain the key information value of the first nerve measurement according to the patient's personal information, and transmit the result to the patient's finger pulp information collection module; The patient finger pulp information acquisition module is used to obtain the finger pulp information of the patient to be tested, obtain the second nerve measurement key information according to the finger pulp information of the patient to be tested, and transmit the result to the data preprocessing module; The data preprocessing module is used to perform data preprocessing operations on the collected second nerve measurement key information, obtain the second nerve measurement key information value corresponding to the second nerve measurement key information, and transmit the result to the diagnosis analysis module; The diagnostic analysis module is used to establish a diagnostic analysis model, obtain a third nerve measurement key information value through the second nerve measurement key information value according to the diagnostic analysis model, and transmit the result to the comprehensive processing module; The comprehensive processing module is used to associate the first nerve measurement key information value, the second nerve measurement key information value and the third nerve measurement key information value to obtain the measurement information of the patient to be measured, and transmit the result to the human-computer interaction module; The human-computer interaction module is used to display the measurement information of the patient to be tested on the information interaction interface, generate a diagnosis report, and transmit relevant information to the user information terminal.

10. An automated diagnostic system for nerve sensation measurement according to claim 9, characterized in that: The system operation database includes a patient personal information database, a patient fingertips information database, a patient diagnosis information database and a patient measurement information database; the user information terminal includes hospital-related computers, patient mobile phones and patient tablet computers.

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