Pain index judgment method and system based on medical imaging examination technology

Abstract

The invention discloses a pain index judgment method and system based on a medical imaging examination technology, and relates to the technical field of clinical medices.The pain index judgment method comprises the steps that S1, a pain sensitivity tester is adopted to conduct a pain sensitivity test on a patient; s2, brain wave signals of the patient in the pain sensitivity test process are collected; s3, performing pain tolerance evaluation according to the brain wave signal and the current signal, and generating a pain tolerance evaluation result; s4, setting a pain value grading table according to the generated pain tolerance evaluation result; s5, acquiring an examination image of the hyperostosis part of the patient by utilizing a medical image examination technology; according to the pain index judgment method and system based on the medical imaging examination technology, the degree of pain brought by hyperostosis to a patient can be measured according to different pain tolerance degrees of each person, so that the patient can be treated.

Description

Technical Field

[0001] This invention relates to the field of clinical medical technology, specifically to a method and system for judging pain index based on medical imaging examination technology. Background Technology

[0002] Osteophytes are a common bone and joint disease, most prevalent in middle-aged and elderly individuals. This disease can be divided into primary and secondary types. Primary osteoarthritis is mainly caused by joint aging and degenerative changes; secondary osteoarthritis is often caused by factors such as trauma (fractures, etc.), inflammation (frozen shoulder, etc.), and chronic strain, leading to cartilage destruction or changes in joint structure, and can affect multiple joints. Patients often experience pain in the affected joints, which worsens with temperature drops; joint stiffness and decreased range of motion; and a crepitus sensation when moving the knee joint. Because joint damage is irreversible, this disease cannot be cured. Treatment focuses on symptom relief through medication and physical therapy. In severe cases, surgery may be considered to maximize quality of life. Current diagnostic methods utilize medical imaging techniques to photograph the painful areas, allowing physicians to assess the severity based on the images and their experience. The severity of pain is also analyzed based on the patient's description, leading to appropriate treatment. However, inaccurate pain descriptions by patients can result in poor treatment outcomes. Summary of the Invention

[0003] To address the shortcomings of existing technologies, this invention provides a method and system for judging pain index based on medical imaging examination technology, which solves the problems mentioned in the background.

[0004] To achieve the above objectives, the present invention provides the following technical solution: a method and system for judging pain index based on medical imaging examination technology, comprising the following steps:

[0005] S1: The patient's pain sensitivity is tested using a pain sensitivity tester;

[0006] S2: Collect the patient's electroencephalogram (EEG) signals during the pain sensitivity test;

[0007] S3: Based on EEG signals and electrical signals, pain tolerance is assessed, and pain tolerance assessment results are generated;

[0008] S4: Based on the generated pain tolerance assessment results, set up a pain value grading table;

[0009] S5: Use medical imaging techniques to obtain images of the areas of bone hyperplasia in patients;

[0010] S6: Identify the location of bone hyperplasia in the examination image, obtain image information of the corresponding bone hyperplasia location from the examination image, obtain the stress exerted on the muscle by the bone hyperplasia location, and assess the pain value based on the calculated stress.

[0011] S7: Based on the assessed pain values, the pain value range corresponding to each level of pain in the pain value grading table is determined to identify the pain caused to the patient by bone hyperplasia.

[0012] Optionally, step S5: acquiring examination images of the patient's bone hyperplasia site using medical imaging techniques includes:

[0013] S51: Construct a disease simulation model based on medical images of the patient's bone hyperplasia sites;

[0014] S52: Input the treatment plan into the disease simulation model to simulate the treatment of the disease;

[0015] S53: Generate disease treatment prediction results and predict the severity of the disease.

[0016] Optionally, step S1: performing a pain sensitivity test on the patient using a pain sensitivity tester includes:

[0017] S11: Wear the pain sensitivity tester on the patient's test site and adjust the current intensity during the test;

[0018] S12: During the pain sensitivity test, the patient wears an EEG signal receiver to receive the EEG signals generated by the patient during the test.

[0019] Optionally, in step S11: the pain sensitivity tester is worn on the patient's test site, and the adjusted current intensity is recorded and stored during the step of adjusting the current intensity during the test.

[0020] Optionally, in step S52: inputting the treatment plan into the disease simulation model and simulating the treatment of the disease, the patient's condition is simulated according to the treatment plan, and the patient's condition evolves according to the treatment plan, simulating the development process of the patient's condition and the final outcome of the patient's condition when the treatment plan is adopted.

[0021] Optionally, in step S51: constructing a disease simulation model based on medical images of the patient's bone hyperplasia site, the patient's bone hyperplasia site is obtained, the patient's previous medical records and physical signs are obtained, and a disease simulation model is constructed.

[0022] Optionally, in step S52: inputting the treatment plan into the disease simulation model and simulating the disease treatment, the doctor needs to generate a treatment plan for the patient based on the patient's condition, and then input the generated treatment plan.

[0023] A pain index assessment system based on medical imaging examination technology includes a testing module, a receiving module, a data transmission module, an evaluation module, a medical image acquisition module, an assessment module, a recognition module, a treatment plan input module, a disease simulation module, and a disease prediction module. The testing module is used to test the patient's pain sensitivity by adjusting the current magnitude. The receiving module receives test data sent by the testing module, including current intensity and electroencephalogram (EEG) signals. The data transmission module sends the test data from the receiving module to a server. The evaluation module generates a pain rating table specific to the patient based on the received test data. The medical image acquisition module acquires medical images of the patient's bone hyperplasia sites from a hospital system. The assessment module identifies the location of bone hyperplasia in medical images, retrieves image information of the corresponding location from the medical images, obtains the stress exerted on the muscles by the bone hyperplasia, and assesses the pain value based on the calculated stress. The identification module determines the pain caused by bone hyperplasia to the patient based on the assessed pain value and the pain value range of each level of pain in the pain value grading table. The treatment plan input module inputs the patient's treatment plan generated by the doctor into the disease simulation module. The disease simulation module simulates treatment for the patient's condition according to the treatment plan and tracks the evolution of the patient's condition based on the treatment plan. The disease prediction module acquires the evolution process, obtains the development history of the patient's condition, and the final outcome of the patient's condition.

[0024] This invention provides a method and system for judging pain index based on medical imaging examination technology, which has the following beneficial effects:

[0025] 1. This method and system for judging pain index based on medical imaging examination technology involves placing a pain sensitivity tester on the patient's test site and a head-mounted electroencephalogram (EEG) signal receiver on the patient's brain. During the test, the current intensity is adjusted and recorded, along with the collected EEG signals. Based on the EEG and current signals, pain tolerance is assessed, generating a pain tolerance assessment result. A pain value grading table specific to the patient is established based on this result. Medical imaging examination technology is used to acquire images of the patient's bone hyperplasia site. The images are identified to determine the location of the bone hyperplasia. Image information at the corresponding bone hyperplasia location is obtained from the images, and the stress exerted on the muscles by the bone hyperplasia is acquired. The pain value is assessed based on the calculated stress. The pain value is then assigned to the corresponding pain value range within the pain value grading table to determine the pain caused by the bone hyperplasia. This allows for the determination of the pain level caused by bone hyperplasia based on each individual's different pain tolerance levels, facilitating treatment for the patient.

[0026] 2. This pain index judgment method and system based on medical imaging examination technology allows doctors to generate a treatment plan for the patient based on the patient's condition. The generated treatment plan is then input into a disease simulation model. The disease simulation model evolves the patient's condition according to the treatment plan, simulating the development process and final outcome of the patient's condition under the treatment plan, so that the patient can understand the degree of disease development and choose an appropriate treatment plan. Attached Figure Description

[0027] Figure 1 This is a diagram illustrating the steps of the method of the present invention;

[0028] Figure 2 This is a flowchart illustrating the steps of S1 in this invention: using a pain sensitivity tester to perform a pain sensitivity test on a patient.

[0029] Figure 3 This is a system module diagram of the present invention.

[0030] In the diagram: 1. Testing module; 2. Receiving module; 3. Data transmission module; 4. Evaluation module; 5. Medical image acquisition module; 6. Assessment module; 7. Recognition module; 8. Treatment plan input module; 9. Disease simulation module; 10. Disease prediction module. Detailed Implementation

[0031] The technical solutions of the present invention will be clearly and completely described below with reference to the accompanying drawings of the embodiments of the present invention. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments.

[0032] Example 1

[0033] Please see Figures 1 to 2 This invention provides a technical solution: a method and system for judging pain index based on medical imaging examination technology, comprising the following steps:

[0034] S1: The patient's pain sensitivity is tested using a pain sensitivity tester;

[0035] S2: Collect the patient's electroencephalogram (EEG) signals during the pain sensitivity test;

[0036] S3: Based on EEG signals and electrical signals, pain tolerance is assessed, and pain tolerance assessment results are generated;

[0037] S4: Based on the generated pain tolerance assessment results, set up a pain value grading table;

[0038] S5: Use medical imaging techniques to obtain images of the areas of bone hyperplasia in patients;

[0039] S6: Identify the location of bone hyperplasia in the examination image, obtain image information of the corresponding bone hyperplasia location from the examination image, obtain the stress exerted on the muscle by the bone hyperplasia location, and assess the pain value based on the calculated stress.

[0040] S7: Based on the assessed pain values, the pain value range corresponding to each level of pain in the pain value grading table is determined to identify the pain caused to the patient by bone hyperplasia.

[0041] Furthermore, those skilled in the art will understand that S5: the step of acquiring examination images of the patient's bone hyperplasia area using medical imaging examination technology includes:

[0042] S51: Construct a disease simulation model based on medical images of the patient's bone hyperplasia sites;

[0043] S52: Input the treatment plan into the disease simulation model to simulate the treatment of the disease;

[0044] S53: Generate disease treatment prediction results and predict the severity of the disease.

[0045] Furthermore, those skilled in the art will understand that S1: the steps of performing a pain sensitivity test on a patient using a pain sensitivity tester include:

[0046] S11: Wear the pain sensitivity tester on the patient's test site and adjust the current intensity during the test;

[0047] S12: During the pain sensitivity test, the patient wears an EEG signal receiver to receive the EEG signals generated by the patient during the test.

[0048] Furthermore, those skilled in the art will know that S11: the pain sensitivity tester is worn on the patient's test site, and during the test, in the step of adjusting the current intensity, the adjusted current intensity is recorded and stored in order to establish a correspondence between the current intensity and the brain wave signal.

[0049] Furthermore, those skilled in the art will know that in step S52: inputting the treatment plan into the disease simulation model and simulating the treatment of the disease, the patient's condition is simulated and treated according to the treatment plan, and the patient's condition evolves according to the treatment plan, simulating the development process of the patient's condition and the final outcome of the patient's condition when the treatment plan is adopted.

[0050] Furthermore, those skilled in the art will know that in step S51: constructing a disease simulation model based on medical images of the patient's bone hyperplasia site, the patient's bone hyperplasia site is obtained, the patient's previous medical records and physical signs are obtained, and a disease simulation model is constructed to monitor how the patient's condition will develop under treatment.

[0051] Furthermore, those skilled in the art will know that in step S52: inputting the treatment plan into the disease simulation model to simulate the disease treatment, the doctor needs to generate a treatment plan for the patient based on the patient's condition, and then input the generated treatment plan.

[0052] Example 2

[0053] Please see Figure 3This invention provides a technical solution: a pain index judgment system based on medical imaging examination technology, comprising a testing module 1, a receiving module 2, a data transmission module 3, an evaluation module 4, a medical image acquisition module 5, an assessment module 6, a recognition module 7, a treatment plan input module 8, a disease simulation module 9, and a disease prediction module 10. The testing module 1 is used to test the patient's pain sensitivity by adjusting the current magnitude; the receiving module 2 is used to receive test data sent by the testing module 1, including current intensity and electroencephalogram (EEG) signals; the data transmission module 3 is used to send the test data received from the testing module 1 to a server; the evaluation module 4 is used to generate a pain value grading table specific to the patient based on the received test data; and the medical image acquisition module 5 is used to acquire the patient's bone density data from a hospital system. The system includes: a medical imaging module for identifying bone hyperplasia sites; an assessment module 6 for identifying the location of bone hyperplasia in medical images, obtaining image information of the corresponding bone hyperplasia location from the medical images, obtaining the stress exerted on the muscles by the bone hyperplasia location, and assessing the pain value based on the calculated stress; an identification module 7 for determining the pain caused by bone hyperplasia to the patient based on the assessed pain value and referring to the pain value range of each level of pain in the pain value grading table; a treatment plan input module 8 for inputting the patient's treatment plan generated by the doctor into the disease simulation module 9; a disease simulation module 9 for simulating treatment of the patient's condition according to the treatment plan and evolving the patient's condition according to the treatment plan; and a disease prediction module 10 for obtaining the evolution process, obtaining the development history of the patient's condition, and the final outcome of the patient's condition.

[0054] In summary, this pain index assessment method and system based on medical imaging technology involves placing a pain sensitivity tester on the patient's test site and a head-mounted electroencephalogram (EEG) signal receiver on the patient's brain. During the test, the current intensity is adjusted and recorded, along with the collected EEG signals. Pain tolerance is assessed based on the EEG and current signals, generating a pain tolerance assessment result. Based on this result, a pain rating scale specific to the patient is established. Medical imaging technology is used to acquire images of the patient's bone hyperplasia area, and these images are then processed. The process involves identifying the location of bone spurs, extracting image information of the corresponding location from examination images, obtaining the stress exerted on the muscles by the bone spurs, assessing pain values ​​based on the calculated stress, and determining the pain level range of each pain level in the pain grading table based on the assessed pain values. The doctor then generates a treatment plan for the patient based on their condition and inputs it into a disease simulation model. The simulation model then evolves the patient's condition according to the treatment plan, simulating the progression of the patient's condition and the final outcome under the treatment plan.

[0055] The above description is only a preferred embodiment of the present invention, but the scope of protection of the present invention is not limited thereto. Any equivalent substitutions or modifications made by those skilled in the art within the scope of the technology disclosed in the present invention, based on the technical solution and inventive concept of the present invention, should be covered within the scope of protection of the present invention.

Claims

1. A method and system for determining pain index based on medical imaging examination technology, characterized in that: Includes the following steps: S1: The patient's pain sensitivity is tested using a pain sensitivity tester; S2: Collect the patient's electroencephalogram (EEG) signals during the pain sensitivity test; S3: Based on EEG signals and electrical signals, pain tolerance is assessed, and pain tolerance assessment results are generated; S4: Based on the generated pain tolerance assessment results, set up a pain value grading table; S5: Use medical imaging techniques to obtain images of the areas of bone hyperplasia in patients; S6: Identify the location of bone hyperplasia in the examination image, obtain image information of the corresponding bone hyperplasia location from the examination image, obtain the stress exerted on the muscle by the bone hyperplasia location, and assess the pain value based on the calculated stress. S7: Based on the assessed pain values, the pain value range corresponding to each level of pain in the pain value grading table is determined to identify the pain caused to the patient by bone hyperplasia.

2. The method and system for judging pain index based on medical imaging examination technology according to claim 1, characterized in that: S5: The step of acquiring examination images of the patient's bone hyperplasia area using medical imaging examination technology includes: S51: Construct a disease simulation model based on medical images of the patient's bone hyperplasia sites; S52: Input the treatment plan into the disease simulation model to simulate the treatment of the disease; S53: Generate disease treatment prediction results and predict the severity of the disease.

3. The method and system for judging pain index based on medical imaging examination technology according to claim 1, characterized in that: S1: The steps of performing a pain sensitivity test on a patient using a pain sensitivity tester include: S11: Wear the pain sensitivity tester on the patient's test site and adjust the current intensity during the test; S12: During the pain sensitivity test, the patient wears an EEG signal receiver to receive the EEG signals generated by the patient during the test.

4. The method and system for judging pain index based on medical imaging examination technology according to claim 3, characterized in that: S11: The pain sensitivity tester is worn on the patient's test site. During the test, the adjusted current intensity is recorded and stored.

5. The method and system for judging pain index based on medical imaging examination technology according to claim 2, characterized in that: S52: In the step of inputting the treatment plan into the disease simulation model and simulating the treatment of the disease, the patient's condition is simulated and treated according to the treatment plan. The patient's condition evolves according to the treatment plan, simulating the development process of the patient's condition and the final outcome of the patient's condition when the treatment plan is adopted.

6. The method and system for judging pain index based on medical imaging examination technology according to claim 2, characterized in that: In step S51: Constructing a disease simulation model based on medical images of the patient's bone hyperplasia site, the patient's bone hyperplasia site is obtained, along with the patient's previous medical records and physical signs, to construct the disease simulation model.

7. The method and system for judging pain index based on medical imaging examination technology according to claim 2, characterized in that: In step S52, where the treatment plan is input into the disease simulation model to simulate the treatment of the disease, the doctor needs to generate a treatment plan for the patient based on the patient's condition, and then input the generated treatment plan.

8. A pain index judgment system based on medical imaging examination technology, characterized in that: The system includes a testing module (1), a receiving module (2), a data transmission module (3), an evaluation module (4), a medical image acquisition module (5), an assessment module (6), a recognition module (7), a treatment plan input module (8), a disease simulation module (9), and a disease prediction module (10). The testing module (1) is used to test the patient's pain sensitivity by adjusting the current magnitude. The receiving module (2) is used to receive the test data sent by the testing module (1), which includes current intensity and electroencephalogram (EEG) signals. The data transmission module (3) is used to send the test data sent by the receiving testing module (1) to the server. The evaluation module (4) is used to generate a pain value grading table specifically for the patient based on the received test data. The medical image acquisition module (5) is used to acquire medical images of the patient's bone hyperplasia sites in the hospital system. The medical imaging module (6) is used to identify the location of bone hyperplasia in medical images, obtain image information of the corresponding location of bone hyperplasia from medical images, obtain the stress exerted on the muscles by the location of bone hyperplasia, and evaluate the pain value based on the calculated stress. The identification module (7) is used to determine the pain caused to the patient by bone hyperplasia based on the evaluated pain value and the pain value range of each level of pain in the pain value grading table. The treatment plan input module (8) is used to input the patient treatment plan generated by the doctor into the condition simulation module (9). The condition simulation module (9) is used to simulate the treatment of the patient's condition according to the treatment plan and to evolve the patient's condition according to the treatment plan. The condition prediction module (10) is used to obtain the evolution process, obtain the development process of the patient's condition and the final result of the patient's condition.

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