A method for recording chest pain symptoms based on a 3D visualized human body model

Abstract

The present invention discloses a chest pain symptom recording method based on a 3D visual human body model, constructs a chest pain basic data set, inputs the chest pain basic data set into a 3D visual human body model system, marks the chest pain position on the 3D visual human body model, dynamically adjusts the display effect of the corresponding area on the 3D visual human body model according to the real-time input chest pain basic data set, and during the dynamic display process, the system simultaneously provides multi-sensory feedback, stores the marked chest pain position and its related feature data, and the data is stored in a medical database integrated with the system, associates the stored symptom data with the patient's electronic health record, presents the analysis results in a visual form on the 3D visual human body model, and allows the user to further modify or supplement the recorded symptom data. The multimodal feedback mechanism of the present invention not only improves the depth and details of the symptom record, but also provides doctors with richer sensory information support when diagnosing.

Description

Technical Field

[0001] The present invention relates to the field of medical technology, and in particular to a chest pain symptom recording method based on a 3D visualized human body model. Background Art

[0002] In current medical practice, chest pain, as a common but complex symptom, may be related to multiple causes, such as cardiovascular disease, respiratory disease, musculoskeletal system problems, etc. Therefore, accurate recording and analysis of chest pain symptoms are of great significance for clinical diagnosis and treatment. However, the existing chest pain symptom recording methods mainly rely on patients' oral descriptions and doctors' written records. Traditional methods have many limitations.

[0003] Traditional symptom recording methods are mostly text descriptions or two-dimensional diagrams. This method has shortcomings in conveying the specific location, range and characteristics of chest pain. The patient's oral description is often limited by subjective feelings and expression ability, which may lead to incomplete or inaccurate information. In addition, due to the various manifestations of chest pain, characteristics such as pain type, intensity and duration are difficult to express comprehensively and accurately through simple text or two-dimensional images, especially when it comes to subtle changes in pain or specific locations. Traditional recording methods are even more difficult to meet clinical needs.

[0004] Traditional recording methods are difficult to provide effective support for clinical decision-making. Due to the lack of intuitive and visual symptom expressions, doctors need to rely on personal experience and understanding of patients' descriptions during the diagnosis process. This method is not only time-consuming, but also prone to misjudgment, especially in complex diseases such as angina pectoris, myocardial infarction, etc. Traditional recording methods may miss key symptom information, thereby affecting the diagnosis results.

[0005] In summary, the existing chest pain symptom recording technology has many defects in accuracy, clinical application and human-computer interaction, which not only affects the doctor's accurate judgment of the patient's condition, but also hinders the efficiency improvement of the medical system in complex symptom management. In order to solve these problems, there is an urgent need for a more intuitive, accurate and data-effective chest pain symptom recording method to provide doctors with more reliable clinical decision support. Summary of the invention

[0006] One purpose of the present invention is to propose a chest pain symptom recording method based on a 3D visual human body model. The multimodal feedback mechanism of the present invention not only improves the depth and details of the symptom recording, but also provides doctors with richer sensory information support during diagnosis.

[0007] A chest pain symptom recording method based on a 3D visual human body model according to an embodiment of the present invention comprises the following steps:

[0008] S1. Obtain the pain location, pain type, pain intensity and pain duration of the patient's chest pain symptoms to construct a basic chest pain data set;

[0009] S2, inputting the chest pain basic data set into the 3D visualization human body model system, where the 3D visualization human body model is an interactive three-dimensional model showing the human chest area and combined with a multi-sensory feedback mechanism;

[0010] S3, marking the chest pain location on the 3D visual human model;

[0011] S4. According to the chest pain basic data set input in real time, dynamically adjust the display effect of the corresponding area on the 3D visualization human body model, including expressing different pain characteristics through changes in color, texture or transparency;

[0012] S5. During the dynamic display process, the system provides multi-sensory feedback simultaneously, including vibration feedback to simulate the tactile sensation of pain, sound cues to enhance the auditory performance of pain, and odor feedback to further simulate the pain environment;

[0013] S6. storing the marked chest pain location and its related characteristic data, wherein the data is stored in a medical database integrated with the system;

[0014] S7, associating the stored symptom data with the patient's electronic health record, and processing and analyzing the symptom data to generate supporting information for clinical diagnosis;

[0015] S8. Present the analysis results in a visual form on a 3D visual human body model, and allow the user to further modify or supplement the recorded symptom data.

[0016] Optionally, the S1 includes the following steps:

[0017] S11. Obtain the patient's pain location and mark it using a 3D coordinate system, defined as P(x, y, z), where x, y, and z represent the spatial coordinates of the chest area, respectively;

[0018] The acquisition of pain location includes recording the specific anatomical location of pain in the chest area, including the anterior chest wall, posterior chest wall, left chest, right chest, supraclavicular region and sternal region, and detailed to the intercostal space, thoracic cavity and mediastinum;

[0019] S12. Obtain the patient's pain type The types of pain include stabbing pain, dull pain, tenderness, colic and burning pain. The pain types are classified according to the standards of the International Association for the Study of Pain. Stabbing pain is more common in myocardial ischemia and pericarditis; dull pain is common in muscle injury and bone and joint lesions; tenderness is related to local tissue inflammation and muscle strain; burning pain is more common in reflux esophagitis; colic is common in cholelithiasis or gastrointestinal spasm; and the preset codes are used to classify and establish a type set ,in for specific types of pain;

[0020] S13. Obtain the patient's pain intensity , using the visual analogue scale VAS scoring system:

[0021] ;

[0022] Among them, the VAS score ranges from 0 to 10, and the intensity coefficient is adjusted according to the patient's subjective evaluation and the doctor's objective judgment, usually with a value of 0.1 to 1;

[0023] S14. Obtain the patient's pain duration The duration of pain is an indicator for evaluating the nature of pain and possible causes. Short and severe pain is common in angina pectoris or myocardial infarction, while persistent pain indicates inflammation or malignant lesions. The duration of pain is the difference between the start and end time of pain:

[0024] ;

[0025] Among them, the unit of pain end time and pain start time is minutes;

[0026] S15, construct chest pain basic data set B, pain location P (x, y, z), pain type , pain intensity and duration of pain Data integration:

[0027] .

[0028] Optionally, S2 includes the following steps:

[0029] S21. Input the constructed chest pain basic data set into the 3D visualization human body model system. The 3D visualization human body model maps the input chest pain basic data set onto the human chest three-dimensional model based on computer graphics technology and medical image processing algorithms, and generates a three-dimensional representation of chest pain that is consistent with the patient's actual anatomical structure:

[0030] ;

[0031] Among them, M(x, y, z) represents the pain intensity at a certain point in the three-dimensional chest model. For the location of chest pain, For pain intensity, is the spatial distribution function related to the patient's actual anatomical structure, is the influencing factor of pain type, n is the total number of points in the data set;

[0032] S22. A dynamic chest breathing simulation function is introduced into the 3D visual human body model. Combined with the patient's real-time breathing pattern data, the 3D visual human body model dynamically displays the morphological changes of the chest at different breathing stages. The breathing simulation function is:

[0033] ;

[0034] in, Indicates the changes in chest shape under breathing state, A and B are the breathing amplitude coefficients, and are the sine and cosine components of the respiratory frequency, and is the phase shift and t is the time.

[0035] S23. Combined with the respiratory status and pain location, the system annotates and presents the dynamic changes of the pain area in the 3D model. The system analyzes the positional offset of the pain location in different respiratory stages and combines the classification standards of the pain type to reflect the pathophysiological characteristics of the pain and the pain manifestations related to breathing in the 3D visualized human body model:

[0036] ;

[0037] in, represents the pain position shift after respiration at time t, is the spatial displacement based on the breathing state, is the respiratory morphology change function;

[0038] S24. The system enhances the user's perception of the pain area through a multimodal perception feedback mechanism and uses tactile feedback technology to simulate the perception experience of the chest pain area:

[0039] ;

[0040] in, is the tactile feedback intensity, is the pain intensity gradient, is the tactile response coefficient, is the Dirac delta function of the pain location, the integral area Define space for the chest.

[0041] Optionally, S4 includes the following steps:

[0042] S41. Based on the real-time input chest pain basic data set, the system analyzes the specific changes in chest pain location, pain type and pain intensity, and matches them with the corresponding anatomical areas in the 3D visual human model;

[0043] S42. After analyzing the intensity of chest pain, the system dynamically adjusts the color display of the corresponding area on the 3D visualization human body model according to the intensity. The depth of the color display is proportional to the intensity of the pain. When the patient reports a higher intensity of pain, the corresponding area on the 3D visualization human body model will display a darker color. Conversely, the area with less pain will display a lighter color. The color coding mechanism is based on the visual analog scale, including angina patients reporting severe chest pain, the heart area on the 3D visualization human body model will display dark red, indicating high intensity pain, and mild muscle soreness will display a light color, indicating less pain. The real-time dynamic change of the color display helps doctors quickly judge the severity of pain during diagnosis and adjust the treatment plan as needed;

[0044] S43, the system reflects the specific characteristics of pain by adjusting the surface texture of the 3D visual human body model according to the different types of pain;

[0045] S44. The system adjusts the transparency of the corresponding area according to the duration of the pain. The longer the pain duration, the lower the transparency of the pain area and the more obvious the display effect. In the 3D visual human body model, as the pain duration increases, the transparency of the area will gradually decrease.

[0046] Optionally, the surface texture reflects specific characteristics of pain including:

[0047] Tingling pain is associated with acute lesions, including myocardial infarction, pulmonary embolism or neuropathy. Tingling pain is manifested as sharp and localized pain. The 3D visualization human body model adjusts the surface texture of the corresponding area to a rougher and sharper effect to simulate the tingling feeling.

[0048] Dull pain is common in chronic diseases, including pericarditis or chest wall muscle strain, and manifests as diffuse, dull pain. The 3D visualization human body model applies a smooth, soft texture to the surface of the corresponding area;

[0049] Tenderness is related to local tissue inflammation, muscle strain or trauma, and manifests as pain that intensifies when pressure is applied. Tenderness is represented on a 3D visualization human body model by applying a texture that simulates the pressure effect, so that the area shows a local convex or concave effect when touched or otherwise interacted with;

[0050] Colic is seen in gastrointestinal spasm, cholelithiasis or coronary artery spasm, and is manifested as severe, twisting pain. The 3D visualization human body model simulates the tearing feeling and severity of colic by applying complex, spiral texture effects on the corresponding areas.

[0051] Burning pain is seen in reflux esophagitis or neuralgia, which manifests as a burning pain. The 3D visualization human body model simulates the feeling of burning pain by applying a texture similar to a burning effect to make the area show a burning appearance, including a red, swollen or shiny surface.

[0052] Optionally, S5 includes the following steps:

[0053] S51. During the dynamic display process, the 3D visualized human body model starts the vibration feedback mechanism to simulate the tactile sensation according to the pain location, pain type and pain intensity in the chest pain basic data set. The vibration intensity is proportional to the pain intensity. The more severe the pain, the stronger the vibration feedback. The vibration feedback position corresponds to the pain position. When the pain is located in a certain area of ​​the patient's chest pain, the system will simulate the vibration of the corresponding area to enhance the patient's tactile sensation of pain.

[0054] S52, 3D visualization human model enhances the patient's auditory perception of pain through audio feedback according to the type and intensity of pain. The frequency and volume of the audio feedback are associated with the type and intensity of pain. Stinging pain is accompanied by high-frequency sound prompts, while dull pain is accompanied by low-frequency sound effects. The greater the pain intensity, the higher the volume.

[0055] S53. The 3D visual human model simulates the pain environment through odor feedback. For the burning pain caused by reflux esophagitis, the odor feedback mechanism releases an acidic odor to enhance the patient's real perception of the pain situation. The odor intensity is proportional to the pain intensity. The more severe the pain, the stronger the odor feedback.

[0056] The beneficial effects of the present invention are:

[0057] The present invention uses a 3D visualized human body model to accurately mark the location, type, intensity and duration of the patient's chest pain. Compared with traditional text descriptions or two-dimensional diagrams, it greatly improves the accuracy of symptom records. By directly marking the pain area on the model, the doctor can intuitively view the specific anatomical location of the patient's pain and the precise boundaries of the pain range, which not only enhances the intuitiveness of the symptom record, but also enables the doctor to more accurately understand and analyze the patient's condition.

[0058] The present invention achieves a multi-dimensional display of chest pain symptoms by introducing dynamic display and multi-sensory feedback mechanisms. The system dynamically adjusts the color, texture and transparency on the 3D model according to the intensity, type and location of the pain, forming a real-time updated visual effect, and combines vibration, sound and smell feedback to simulate the patient's pain experience. The multimodal feedback mechanism not only improves the depth and details of symptom records, but also provides doctors with richer sensory information support when diagnosing. BRIEF DESCRIPTION OF THE DRAWINGS

[0059] The accompanying drawings are used to provide a further understanding of the present invention and constitute a part of the specification. Together with the embodiments of the present invention, they are used to explain the present invention and do not constitute a limitation of the present invention. In the accompanying drawings:

[0060] Figure 1 A flowchart of a chest pain symptom recording method based on a 3D visual human body model proposed by the present invention;

[0061] Figure 2 This is a schematic diagram of the association and analysis of a 3D visual human body model and a patient's electronic health record data in a chest pain symptom recording method based on a 3D visual human body model proposed in the present invention. DETAILED DESCRIPTION

[0062] The present invention will now be described in further detail with reference to the accompanying drawings. These drawings are simplified schematic diagrams, which only illustrate the basic structure of the present invention in a schematic manner, and therefore only show the components related to the present invention.

[0063] refer to Figure 1-Figure 2 , a chest pain symptom recording method based on a 3D visual human body model, comprising the following steps:

[0064] S1. Obtain the pain location, pain type, pain intensity and pain duration of the patient's chest pain symptoms to construct a basic chest pain data set;

[0065] S2, inputting the chest pain basic data set into the 3D visualization human body model system, where the 3D visualization human body model is an interactive three-dimensional model showing the human chest area and combined with a multi-sensory feedback mechanism;

[0066] S3, marking the chest pain location on the 3D visual human model;

[0067] S4. According to the chest pain basic data set input in real time, dynamically adjust the display effect of the corresponding area on the 3D visualization human body model, including expressing different pain characteristics through changes in color, texture or transparency;

[0068] S5. During the dynamic display process, the system provides multi-sensory feedback simultaneously, including vibration feedback to simulate the tactile sensation of pain, sound cues to enhance the auditory performance of pain, and odor feedback to further simulate the pain environment;

[0069] S6. storing the marked chest pain location and its related characteristic data, wherein the data is stored in a medical database integrated with the system;

[0070] S7, associating the stored symptom data with the patient's electronic health record, and processing and analyzing the symptom data to generate supporting information for clinical diagnosis;

[0071] S8. Present the analysis results in a visual form on a 3D visual human body model, and allow the user to further modify or supplement the recorded symptom data.

[0072] In this implementation, S1 includes the following steps:

[0073] S11. Obtain the patient's pain location and mark it using a 3D coordinate system, defined as P(x, y, z), where x, y, and z represent the spatial coordinates of the chest area, respectively;

[0074] The acquisition of pain location includes recording the specific anatomical location of pain in the chest area, including the anterior chest wall, posterior chest wall, left chest, right chest, supraclavicular region and sternal region, and detailed to the intercostal space, thoracic cavity and mediastinum;

[0075] S12. Obtain the patient's pain type The types of pain include stabbing pain, dull pain, tenderness, colic and burning pain. The pain types are classified according to the standards of the International Association for the Study of Pain. Stabbing pain is more common in myocardial ischemia and pericarditis; dull pain is common in muscle injury and bone and joint lesions; tenderness is related to local tissue inflammation and muscle strain; burning pain is more common in reflux esophagitis; colic is common in cholelithiasis or gastrointestinal spasm; and the preset codes are used to classify and establish a type set ,in for specific types of pain;

[0076] S13. Obtain the patient's pain intensity , using the visual analogue scale VAS scoring system:

[0077] ;

[0078] Among them, the VAS score ranges from 0 to 10, and the intensity coefficient is adjusted according to the patient's subjective evaluation and the doctor's objective judgment, usually with a value of 0.1 to 1;

[0079] S14. Obtain the patient's pain duration The duration of pain is an indicator for evaluating the nature of pain and possible causes. Short and severe pain is common in angina pectoris or myocardial infarction, while persistent pain indicates inflammation or malignant lesions. The duration of pain is the difference between the start and end time of pain:

[0080] ;

[0081] Among them, the unit of pain end time and pain start time is minutes;

[0082] S15, construct chest pain basic data set B, pain location P (x, y, z), pain type , pain intensity and duration of pain Data integration:

[0083] .

[0084] In this implementation, S2 includes the following steps:

[0085] S21. Input the constructed chest pain basic data set into the 3D visualization human body model system. The 3D visualization human body model maps the input chest pain basic data set onto the human chest three-dimensional model based on computer graphics technology and medical image processing algorithms, and generates a three-dimensional representation of chest pain that is consistent with the patient's actual anatomical structure:

[0086] ;

[0087] Among them, M(x, y, z) represents the pain intensity at a certain point in the three-dimensional chest model. For the location of chest pain, For pain intensity, is the spatial distribution function related to the patient's actual anatomical structure, is the influencing factor of pain type, n is the total number of points in the data set;

[0088] S22. A dynamic chest breathing simulation function is introduced into the 3D visual human body model. Combined with the patient's real-time breathing pattern data, the 3D visual human body model dynamically displays the morphological changes of the chest at different breathing stages. The breathing simulation function is:

[0089] ;

[0090] in, Indicates the changes in chest shape under breathing state, A and B are the breathing amplitude coefficients, and are the sine and cosine components of the respiratory frequency, and is the phase shift and t is the time.

[0091] S23. Combined with the respiratory status and pain location, the system annotates and presents the dynamic changes of the pain area in the 3D model. The system analyzes the positional offset of the pain location in different respiratory stages and combines the classification standards of the pain type to reflect the pathophysiological characteristics of the pain and the pain manifestations related to breathing in the 3D visualized human body model:

[0092] ;

[0093] in, represents the pain position shift after respiration at time t, is the spatial displacement based on the breathing state, is the respiratory morphology change function;

[0094] S24. The system enhances the user's perception of the pain area through a multimodal perception feedback mechanism and uses tactile feedback technology to simulate the perception experience of the chest pain area:

[0095] ;

[0096] in, is the tactile feedback intensity, is the pain intensity gradient, is the tactile response coefficient, is the Dirac delta function of the pain location, the integral area Define space for the chest.

[0097] In this implementation, S4 includes the following steps:

[0098] S41. Based on the real-time input chest pain basic data set, the system analyzes the specific changes in chest pain location, pain type and pain intensity, and matches them with the corresponding anatomical areas in the 3D visual human model;

[0099] S42. After analyzing the intensity of chest pain, the system dynamically adjusts the color display of the corresponding area on the 3D visualization human body model according to the intensity. The depth of the color display is proportional to the intensity of the pain. When the patient reports a higher intensity of pain, the corresponding area on the 3D visualization human body model will display a darker color. Conversely, the area with less pain will display a lighter color. The color coding mechanism is based on the visual analog scale, including angina patients reporting severe chest pain, the heart area on the 3D visualization human body model will display dark red, indicating high intensity pain, and mild muscle soreness will display a light color, indicating less pain. The real-time dynamic change of the color display helps doctors quickly judge the severity of pain during diagnosis and adjust the treatment plan as needed;

[0100] S43, the system reflects the specific characteristics of pain by adjusting the surface texture of the 3D visual human body model according to the different types of pain;

[0101] S44. The system adjusts the transparency of the corresponding area according to the duration of the pain. The longer the pain duration, the lower the transparency of the pain area and the more obvious the display effect. In the 3D visual human body model, as the pain duration increases, the transparency of the area will gradually decrease.

[0102] In this embodiment, the specific characteristics of pain reflected by the surface texture include:

[0103] Tingling pain is associated with acute lesions, including myocardial infarction, pulmonary embolism or neuropathy. Tingling pain is manifested as sharp and localized pain. The 3D visualization human body model adjusts the surface texture of the corresponding area to a rougher and sharper effect to simulate the tingling feeling.

[0104] Dull pain is common in chronic diseases, including pericarditis or chest wall muscle strain, and manifests as diffuse, dull pain. The 3D visualization human body model applies a smooth, soft texture to the surface of the corresponding area;

[0105] Tenderness is related to local tissue inflammation, muscle strain or trauma, and manifests as pain that intensifies when pressure is applied. Tenderness is represented on a 3D visualization human body model by applying a texture that simulates the pressure effect, so that the area shows a local convex or concave effect when touched or otherwise interacted with;

[0106] Colic is seen in gastrointestinal spasm, cholelithiasis or coronary artery spasm, and is manifested as severe, twisting pain. The 3D visualization human body model simulates the tearing feeling and severity of colic by applying complex, spiral texture effects on the corresponding areas.

[0107] Burning pain is seen in reflux esophagitis or neuralgia, which manifests as a burning pain. The 3D visualization human body model simulates the feeling of burning pain by applying a texture similar to a burning effect to make the area show a burning appearance, including a red, swollen or shiny surface.

[0108] In this implementation, S5 includes the following steps:

[0109] S51. During the dynamic display process, the 3D visualized human body model starts the vibration feedback mechanism to simulate the tactile sensation according to the pain location, pain type and pain intensity in the chest pain basic data set. The vibration intensity is proportional to the pain intensity. The more severe the pain, the stronger the vibration feedback. The vibration feedback position corresponds to the pain position. When the pain is located in a certain area of ​​the patient's chest pain, the system will simulate the vibration of the corresponding area to enhance the patient's tactile sensation of pain.

[0110] S52, 3D visualization human model enhances the patient's auditory perception of pain through audio feedback according to the type and intensity of pain. The frequency and volume of the audio feedback are associated with the type and intensity of pain. Stinging pain is accompanied by high-frequency sound prompts, while dull pain is accompanied by low-frequency sound effects. The greater the pain intensity, the higher the volume.

[0111] S53. The 3D visual human model simulates the pain environment through odor feedback. For the burning pain caused by reflux esophagitis, the odor feedback mechanism releases an acidic odor to enhance the patient's real perception of the pain situation. The odor intensity is proportional to the pain intensity. The more severe the pain, the stronger the odor feedback.

[0112] Example 1

[0113] In Example 1, the present invention is applied to the cardiology outpatient department of a large comprehensive hospital. Doctors in the cardiology outpatient department see a large number of chest pain patients every day. The patients have different ages, medical histories, and living habits, and the manifestations of chest pain are also diverse. Since chest pain symptoms often involve multiple possible causes, doctors need to quickly and accurately judge the patient's condition to decide whether to take immediate emergency treatment measures or further detailed examinations. The traditional method of recording chest pain symptoms mainly relies on the patient's oral description and the doctor's written record. This method is often difficult to fully and accurately record the patient's pain location, pain type, pain intensity and pain duration, thereby affecting the accuracy of diagnosis and the timeliness of treatment.

[0114] In the application, a 55-year-old male patient came to the hospital in an outpatient clinic one day and complained of persistent chest pain that had lasted for about 3 hours. The patient said that the pain was mild and dull at first, but as time went on, the pain gradually intensified and was accompanied by a certain tenderness. The doctor decided to use the chest pain symptom recording system based on a 3D visual human model to record and analyze the patient's symptoms in order to provide a basis for subsequent diagnosis.

[0115] The doctor first asked the patient about the location of the pain through the system interface and marked it on the 3D visual human model. The patient described that the pain was mainly concentrated on the left anterior chest wall, slightly biased towards the heart area. The doctor marked the corresponding area of ​​the 3D model through the system's interactive interface. Then, the doctor further asked the patient about the type of pain. The patient said that the pain was dull and the pain worsened when pressing the chest. The system automatically input this information and displayed it on the 3D model.

[0116] As the doctor further inquired, the patient mentioned that the pain intensity was 6 points on the visual analog scale and had lasted for 3 hours since the pain started. The system dynamically adjusted the color, texture, and transparency of the marked areas on the 3D model based on the patient's input data. The left anterior chest wall area was displayed in a darker red, indicating a stronger sense of pain. At the same time, the surface texture of the model was adjusted to a smoother effect to reflect the characteristics of dull pain, and the continuous pain was indicated by reducing transparency.

[0117] During the patient's description, the system also automatically activated the multi-sensory feedback mechanism. The patient can feel the vibration feedback of the chest pain area through the touch screen, and the vibration intensity increases as the pain intensity increases. This tactile feedback helps patients more intuitively confirm the location and feeling of pain. In addition, the system also enhances the patient's auditory perception of pain through audio feedback. The low-frequency sound effects corresponding to dull pain make patients recall the pain more clearly.

[0118] After completing the symptom record, the doctor intuitively understood the details of the patient's chest pain through the basic chest pain data set and 3D visualization model generated by the system. The doctor then integrated the data with the patient's electronic health record and conducted a comprehensive analysis based on the patient's medical history (including hypertension and family history of heart disease). The system suggested through analysis that the patient's symptoms may be related to coronary artery disease, and the doctor recommended that the patient undergo further coronary artery CT imaging.

[0119] In order to verify the effectiveness of the method of the present invention, the hospital compared the application effects of this method with traditional methods in similar cases in the following week. The specific data are as follows:

[0120] Accuracy comparison: Among the 50 patients with chest pain recorded using traditional methods, the accuracy of the doctor's location of pain was 62%, and the accuracy of the judgment of the type of pain was 68%. Among the 50 patients using the method of the present invention, these two indicators increased to 90% and 87% respectively. On June 16, patient Li went to the doctor for chest pain. Through the method of the present invention, the doctor found that the actual location of his pain was biased towards the left posterior chest wall, while the traditional method only recorded it as the left anterior chest, resulting in a deviation in the initial diagnosis result.

[0121] Time efficiency comparison: It takes an average of 14 minutes to record chest pain symptoms for each patient using the traditional method, while the average time using the method of the present invention is shortened to 7 minutes. On the morning of June 17, patient Wang was admitted to the hospital due to sudden severe chest pain. The method of the present invention took only 6 minutes to complete a comprehensive record of the location, type, intensity and duration of the chest pain, and generated a preliminary diagnosis suggestion, effectively shortening the treatment time.

[0122] Comparison of patient experience and satisfaction: Among patients who used traditional methods to record, 62% of them were satisfied with the recording process, and some patients reported that the recording process was not intuitive enough and it was difficult to accurately express the pain. Among patients who used the method of the present invention, 92% were satisfied, especially with the help of multi-sensory feedback, patients were able to describe and confirm their symptoms more clearly. On June 18, patient Zhao said after the experience that the simulation of pain intensity through vibration feedback was very intuitive, which greatly helped him describe the indescribable pain.

[0123] Comparison of clinical decision accuracy: Among the 50 patients recorded using traditional methods, 28 doctors recommended further examinations, and 7 of them were found to have deviations in the initial diagnosis during the examination. Among the 50 patients using the method of the present invention, 40 were recommended for further examinations, and only 3 were found to have slight deviations in the initial diagnosis during follow-up examinations. On June 19, patient Qian came to the hospital for chest pain. The traditional method recorded it as chest muscle strain, but the method of the present invention found that Qian's symptoms may be related to myocardial ischemia through 3D models and data analysis, and the subsequent coronary angiography confirmed this initial diagnosis.

[0124] Through the detailed description of Example 1 and the comparison of actual data, it is proved that the method of the present invention has significant advantages in improving the accuracy of chest pain symptom recording, shortening the recording time, enhancing the patient experience and improving the accuracy of clinical decision-making. The application of the system in the hospital not only improves the work efficiency of doctors, but also significantly improves the diagnosis and treatment experience of patients, and effectively solves many shortcomings in traditional chest pain recording methods.

[0125] The present invention uses a 3D visualized human body model to accurately mark the location, type, intensity and duration of the patient's chest pain. Compared with traditional text descriptions or two-dimensional diagrams, it greatly improves the accuracy of symptom records. By directly marking the pain area on the model, the doctor can intuitively view the specific anatomical location of the patient's pain and the precise boundaries of the pain range, which not only enhances the intuitiveness of the symptom record, but also enables the doctor to more accurately understand and analyze the patient's condition.

[0126] The present invention achieves a multi-dimensional display of chest pain symptoms by introducing dynamic display and multi-sensory feedback mechanisms. The system dynamically adjusts the color, texture and transparency on the 3D model according to the intensity, type and location of the pain, forming a real-time updated visual effect, and combines vibration, sound and smell feedback to simulate the patient's pain experience. The multimodal feedback mechanism not only improves the depth and details of symptom records, but also provides doctors with richer sensory information support when diagnosing.

[0127] The above description is only a preferred specific implementation manner of the present invention, but the protection scope of the present invention is not limited thereto. Any technician familiar with the technical field can make equivalent replacements or changes according to the technical scheme and inventive concept of the present invention within the technical scope disclosed by the present invention, which should be covered by the protection scope of the present invention.

Claims

1. A chest pain symptom recording method based on a 3D visual human body model, characterized in that: The steps include: S1. Obtain the pain location, pain type, pain intensity and pain duration of the patient's chest pain symptoms to construct a basic chest pain data set; S2, inputting the chest pain basic data set into the 3D visualization human body model system, where the 3D visualization human body model is an interactive three-dimensional model showing the human chest area and combined with a multi-sensory feedback mechanism; S3, marking the chest pain location on the 3D visual human model; S4. According to the chest pain basic data set input in real time, dynamically adjust the display effect of the corresponding area on the 3D visualization human body model, including expressing different pain characteristics through changes in color, texture or transparency; S5. During the dynamic display process, the system provides multi-sensory feedback simultaneously, including vibration feedback to simulate the tactile sensation of pain, sound cues to enhance the auditory performance of pain, and odor feedback to further simulate the pain environment; S6. storing the marked chest pain location and its related characteristic data, wherein the data is stored in a medical database integrated with the system; S7, associating the stored symptom data with the patient's electronic health record, and processing and analyzing the symptom data to generate supporting information for clinical diagnosis; S8, presenting the analysis results in a visual form on a 3D visual human model, and allowing the user to further modify or supplement the recorded symptom data; The S1 includes: S11. Obtain the patient's pain location and mark it using a 3D coordinate system, defined as P(x, y, z), where x, y, and z represent the spatial coordinates of the chest area, respectively; The acquisition of pain location includes recording the specific anatomical location of pain in the chest area, including the anterior chest wall, posterior chest wall, left chest, right chest, supraclavicular region and sternal region, and detailed to the intercostal space, thoracic cavity and mediastinum; S12. Obtain the patient's pain type The types of pain include stabbing pain, dull pain, tenderness, colic and burning pain. The pain types are classified according to the standards of the International Association for the Study of Pain. Stabbing pain is more common in myocardial ischemia and pericarditis; dull pain is common in muscle injury and bone and joint lesions; tenderness is related to local tissue inflammation and muscle strain; burning pain is more common in reflux esophagitis; colic is common in cholelithiasis or gastrointestinal spasm; and the preset codes are used to classify and establish a type set ,in for specific types of pain; S13. Obtain the patient's pain intensity , using the visual analogue scale VAS scoring system: ； Among them, the VAS score ranges from 0 to 10, and the intensity coefficient is adjusted based on the patient's subjective evaluation and the doctor's objective judgment, with a value of 0.1 to 1; S14. Obtain the patient's pain duration The duration of pain is an indicator for evaluating the nature and cause of pain. Short and severe pain is common in angina pectoris or myocardial infarction, while persistent pain indicates inflammation or malignant lesions. The duration of pain is the difference between the start and end time of pain: ； in, and The unit is minutes; S15, construct chest pain basic data set B, pain location P (x, y, z), pain type , pain intensity and duration of pain Data integration: ； The S2 includes: S21. Input the constructed chest pain basic data set into the 3D visualization human body model system. The 3D visualization human body model maps the input chest pain basic data set onto the human chest three-dimensional model based on computer graphics technology and medical image processing algorithms, and generates a three-dimensional representation of chest pain that is consistent with the patient's actual anatomical structure: ； Among them, M(x, y, z) represents the pain intensity at a certain point in the three-dimensional chest model. For the location of chest pain, For pain intensity, is the spatial distribution function related to the patient's actual anatomical structure, is the influencing factor of pain type, n is the total number of points in the data set; S22. A dynamic chest breathing simulation function is introduced into the 3D visual human body model. Combined with the patient's real-time breathing pattern data, the 3D visual human body model dynamically displays the morphological changes of the chest at different breathing stages. The breathing simulation function is: ； in, Indicates the changes in chest shape under breathing state, A and B are the breathing amplitude coefficients, and are the sine and cosine components of the respiratory frequency, and is the phase shift, t is the time; S23. Combined with the respiratory status and pain location, the system annotates and presents the dynamic changes of the pain area in the 3D model. The system analyzes the positional offset of the pain location at different respiratory stages and combines the classification criteria of the pain type to reflect the pathological and physiological characteristics of the pain and the pain manifestations related to breathing in the 3D visualized human body model: ； in, represents the pain position shift after respiration at time t, is the spatial displacement based on the breathing state, is the respiratory morphology change function; S24. The system enhances the user's perception of the pain area through a multimodal perception feedback mechanism and uses tactile feedback technology to simulate the perception experience of the chest pain area: ； in, is the tactile feedback intensity, is the pain intensity gradient, is the tactile response coefficient, is the Dirac delta function of the pain location, the integral area Define space for the chest.

2. A chest pain symptom recording method based on a 3D visual human body model according to claim 1, characterized in that: The S4 comprises the following steps: S41. Based on the real-time input chest pain basic data set, the system analyzes the specific changes in chest pain location, pain type and pain intensity, and matches them with the corresponding anatomical areas in the 3D visual human model; S42. After analyzing the intensity of chest pain, the system dynamically adjusts the color display of the corresponding area on the 3D visualization human body model according to the intensity. The depth of the color display is proportional to the intensity of the pain. When the patient reports high pain intensity, the corresponding area on the 3D visualization human body model will display a darker color. Conversely, the area with less pain will display a lighter color. The color coding mechanism is based on the visual analog scale, including angina patients reporting severe chest pain, the heart area on the 3D visualization human body model will display dark red, indicating high-intensity pain, and mild muscle soreness will display a light color, indicating less pain. The real-time dynamic change of the color display helps doctors quickly judge the severity of the pain during diagnosis and adjust the treatment plan as needed; S43, the system reflects the specific characteristics of pain by adjusting the surface texture of the 3D visual human body model according to the different types of pain; S44. The system adjusts the transparency of the corresponding area according to the duration of the pain. The longer the pain duration, the lower the transparency of the pain area and the more obvious the display effect. In the 3D visual human body model, as the pain duration increases, the transparency of the area will gradually decrease.

3. The method for recording chest pain symptoms based on a 3D visual human body model according to claim 2, characterized in that: Specific characteristics of pain reflected in the surface texture include: Tingling pain is associated with acute lesions, including myocardial infarction, pulmonary embolism or neuropathy. Tingling pain is manifested as sharp and localized pain. The 3D visualization human body model adjusts the surface texture of the corresponding area to a rougher and sharper effect to simulate the tingling feeling. Dull pain is common in chronic diseases, including pericarditis or chest wall muscle strain, and manifests as diffuse, dull pain. The 3D visualization human body model applies a smooth, soft texture to the surface of the corresponding area; Tenderness is related to local tissue inflammation, muscle strain or trauma, and manifests as pain that intensifies when pressure is applied. Tenderness is represented on a 3D visualization human body model by applying a texture that simulates the pressure effect, so that the area shows a local convex or concave effect when touched or otherwise interacted with; Colic is seen in gastrointestinal spasm, cholelithiasis or coronary artery spasm, and is manifested as severe, twisting pain. The 3D visualization human body model simulates the tearing feeling and severity of colic by applying complex, spiral texture effects on the corresponding areas. Burning pain is seen in reflux esophagitis or neuralgia, which manifests as a burning pain. The 3D visualization human body model simulates the feeling of burning pain by applying a texture similar to a burning effect to make the area show a burning appearance, including a red, swollen or shiny surface.

4. The method for recording chest pain symptoms based on a 3D visual human body model according to claim 1, characterized in that: The S5 comprises the following steps: S51. During the dynamic display process, the 3D visualized human body model starts the vibration feedback mechanism to simulate the tactile sensation according to the pain location, pain type and pain intensity in the chest pain basic data set. The vibration intensity is proportional to the pain intensity. The more severe the pain, the stronger the vibration feedback. The vibration feedback position corresponds to the pain position. When the pain is located in a certain area of ​​the patient's chest pain, the system will simulate the vibration of the corresponding area to enhance the patient's tactile sensation of pain. S52, 3D visualization human model enhances the patient's auditory perception of pain through audio feedback according to the type and intensity of pain. The frequency and volume of the audio feedback are associated with the type and intensity of pain. Stinging pain is accompanied by high-frequency sound prompts, while dull pain is accompanied by low-frequency sound effects. The greater the pain intensity, the higher the volume. S53. The 3D visual human model simulates the pain environment through odor feedback. For the burning pain caused by reflux esophagitis, the odor feedback mechanism releases an acidic odor to enhance the patient's real perception of the pain situation. The odor intensity is proportional to the pain intensity. The more severe the pain, the stronger the odor feedback.

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