Pain psychotherapy simulation system based on virtual reality technology

Abstract

The invention relates to the field of psychotherapy, and discloses a pain psychotherapy simulation system based on a virtual reality technology, which is used for solving the problem that when a female patient experiences a physiological cycle, a patient biofeedback signal collected by the system can be interfered, and comprises the following steps: combining a head-mounted display, a handle and other control equipment; the method comprises the steps that a patient enters an immersive virtual world through equipment, physiological data of the patient are obtained, the physiological data comprise heart rate data, skin conductivity and brain wave data, an initial disease pain index is calculated according to the physiological data of the patient, a regulatory factor is calculated according to physiological period information, and the initial disease pain index is calculated according to the regulatory factor; the actual disease pain index is calculated according to the initial disease pain index and the regulatory factor, and psychological intervention is performed according to the actual disease pain index, so that the accuracy of evaluating the state of the treated part of the patient by the system is effectively improved, and the use experience of the patient is improved.

Description

Technical Field

[0001] The present invention relates to the field of psychotherapy, and more specifically to a pain psychotherapy simulation system based on virtual reality technology. Background Art

[0002] Virtual reality technology is a realistic three-dimensional environment generated by computers, which allows users to get immersive visual, auditory and tactile experiences by wearing VR helmets, gloves or other sensing devices. This technology creates virtual interactive scenes to simulate the real world or completely fictional environments, allowing users to move and interact freely as if they were in the environment.

[0003] Pain psychotherapy is a treatment method that uses psychological methods to help patients manage and relieve chronic or acute pain. It uses techniques such as cognitive behavioral therapy (CBT), relaxation training, and mindfulness therapy to help patients change their perception of pain, regulate their emotional responses, and reduce the intensity and frequency of pain perception. By improving patients' emotional health and enhancing coping strategies, pain psychotherapy not only relieves physical pain, but also improves quality of life and reduces psychological problems such as anxiety and depression caused by pain.

[0004] The pain psychotherapy simulation system based on virtual reality technology is an innovative treatment tool that combines virtual reality (VR) technology with psychological therapy methods to relieve and manage patients' pain perception. The system creates realistic virtual scenes to distract patients from pain, and cooperates with psychological intervention methods such as cognitive behavioral therapy (CBT) and relaxation training to help patients regulate their emotions, change pain cognition, and reduce pain perception. It provides patients with an immersive experience, thereby improving the effectiveness of pain management, and is particularly suitable for situations such as chronic pain or postoperative rehabilitation.

[0005] The existing treatment method is to use sensors to monitor the patient's physiological indicators in real time to judge the patient's pain perception. However, if the patient is a female patient, she will experience physiological cycles. During the physiological cycle, the physiological and psychological state of women will undergo complex changes, which will affect the data collection of the pain psychotherapy system based on virtual reality technology. It may interfere with the patient's biofeedback signals collected by the system, causing the system to make errors in its judgment of pain.

[0006] In view of the above problems, the present invention proposes a solution. Summary of the invention

[0007] In order to overcome the above-mentioned defects of the prior art, the present invention provides a pain psychotherapy simulation system based on virtual reality technology to solve the problems existing in the above-mentioned background technology.

[0008] To achieve the above object, the present invention provides the following technical solutions:

[0009] A pain psychotherapy simulation system based on virtual reality technology, the system comprising:

[0010] A virtual reality module is used to combine a head-mounted display, a handle, and other control devices to allow patients to enter an immersive virtual world through the device;

[0011] A pain assessment module is used to obtain the patient's physiological data, including heart rate data, skin conductivity and brain wave data, and calculate the initial symptom pain index based on the patient's physiological data, and transmit the initial symptom pain index to the pain regulation module;

[0012] The pain regulation module is used to receive the initial symptom pain index transmitted by the pain assessment module, calculate the regulation factor according to the physiological period information, calculate the actual symptom pain index according to the initial symptom pain index and the regulation factor, and the calculation formula is AP=IP×(1-RF), wherein AP represents the actual symptom pain index, IP represents the initial symptom pain index, RF represents the regulation factor, and transmit the actual symptom pain index to the psychological intervention module;

[0013] The psychological intervention module is used to receive the actual disease pain index transmitted by the pain regulation module and perform psychological intervention according to the actual disease pain index.

[0014] Preferably, the step of calculating the initial pain index according to the patient's physiological data is:

[0015] Through the heart rate sensor, the patient's heart rate data is collected in real time;

[0016] Monitor changes in skin conductivity through skin conductivity sensors;

[0017] Record the patient's brain electrical activity data through brain wave monitoring equipment;

[0018] Preprocess the collected physiological data and use the Z-score standardization method to standardize physiological signals of different dimensions;

[0019] The initial symptom pain index was calculated based on the standardized heart rate, skin conductivity and brain wave activity data, and the calculation formula is: Where IP is the initial symptom pain index, Z HR , Z GSR and Z EEG They are the standardized values ​​of heart rate, skin conductivity, and brain waves.

[0020] Preferably, the steps of using the Z-score standardization method to standardize physiological signals of different dimensions are:

[0021] Acquire physiological signals of different dimensions during the detection time when the patient is in a resting state, wherein the physiological signals include heart rate, skin conductivity, and brain wave data, and calculate the average values ​​of the physiological signals of different dimensions during the detection time;

[0022] The patient's current heart rate, skin conductivity, and brain wave data are measured and recorded as actual physiological signals;

[0023] According to the physiological signals of different dimensions during the detection time when the patient is in a resting state, the standard deviation of the physiological signals of each dimension is calculated;

[0024] The standardized physiological signal is calculated based on the average value of physiological signals in different dimensions, the actual physiological signal and the standard deviation of physiological signals in each dimension. The calculation formula is: Where Z HR , Z GSR and Z EEG They are the standardized values ​​of heart rate, skin conductivity and brain waves, HR actual , GSR actual and EEG pain Represented as the actual physiological signal, HR base , GSR base and EEG base Expressed as the average value of physiological signals in different dimensions, σ HR , σ GSR and σ EEG Expressed as the standard deviation of the physiological signal in each dimension.

[0025] Preferably, the step of calculating the adjustment factor according to the physiological period information is:

[0026] Obtaining the patient's current hormone level information through the patient's saliva, the current hormone level information including the current estrogen level and progesterone level, and calculating the hormone level influencing factor based on the hormone level information;

[0027] The patient's current temperature information is obtained through a temperature sensor, and the emotion fluctuation influencing factor is calculated based on the current temperature information;

[0028] The regulating factor is obtained by comprehensive evaluation of the factors affecting hormone levels and the factors affecting mood fluctuations. The calculation formula is RF=a1×HL+a2×EF, where RF represents the regulating factor, HL represents the factors affecting hormone levels, EF represents the factors affecting mood fluctuations, and a1 and a2 represent the weight coefficients of the factors affecting hormone levels and the factors affecting mood fluctuations.

[0029] Preferably, the step of calculating the hormone level influencing factor according to the hormone level information is:

[0030] Obtain the estrogen and progesterone levels of the patient during the non-physiological period, recorded as the standard estrogen level and the standard progesterone level;

[0031] Obtain the patient's current estrogen level and calculate the relative rate of estrogen change based on the current estrogen level. The calculation formula is: Where eg represents the relative change rate of estrogen, e base Expressed as standard estrogen level, e actual Expressed as current estrogen level;

[0032] Obtain the patient's current progesterone level and calculate the relative rate of progesterone change based on the current progesterone level. The calculation formula is: Where ph is the relative change rate of progesterone, p base Expressed as standard progesterone level, p actual It is expressed as the current progesterone level;

[0033] The hormone level influencing factor was calculated by adding the relative change rate of estrogen and the relative change rate of progesterone.

[0034] Preferably, the step of calculating the emotion fluctuation influence factor according to the current temperature information is:

[0035] The body temperature data within the patient's normal time period is monitored and the average body temperature is calculated and recorded as the standard body temperature;

[0036] Use the temperature sensor to obtain the patient's current body temperature data, and calculate the emotion fluctuation influencing factor based on the current body temperature data. The calculation formula is: EF is the emotional fluctuation factor, f actual Represents the patient's current body temperature data, f base Expressed as standard body temperature.

[0037] Preferably, the psychological intervention step according to the actual symptom pain index is:

[0038] The actual symptom pain index is compared with the preset threshold. If the actual symptom pain index is less than the preset threshold F1, it is determined that the patient's current pain is mild, and no pain psychological treatment is performed; if the actual symptom pain index is greater than F1 and less than F2, it is determined that the patient currently has obvious pain, and mild pain psychological treatment is performed; if the actual symptom pain index is greater than F2, it is determined that the patient's current pain is severe, and severe pain psychological treatment is performed.

[0039] Technical effects and advantages of the present invention:

[0040] A head-mounted display, a handle and other control devices are combined to allow the patient to enter an immersive virtual world through the device to obtain the patient's physiological data, including heart rate data, skin conductivity and brain wave data. The initial symptom pain index is calculated based on the patient's physiological data, and the adjustment factor is calculated based on the menstrual period information. The actual symptom pain index is calculated based on the initial symptom pain index and the adjustment factor. Psychological intervention is performed based on the actual symptom pain index, which effectively improves the accuracy of the system's assessment of the status of the patient's treatment area and improves the patient's user experience. BRIEF DESCRIPTION OF THE DRAWINGS

[0041] Figure 1 It is the overall flow chart of the present invention. DETAILED DESCRIPTION

[0042] The technical solution of the present invention will be clearly and completely described below in conjunction with the accompanying drawings in the present invention. In addition, the forms of the various structures recorded in the following embodiments are merely illustrative. The pain psychotherapy simulation system based on virtual reality technology involved in the present invention is not limited to the various structures recorded in the following embodiments. All other embodiments obtained by ordinary technicians in this field without making creative work belong to the scope of protection of the present invention.

[0043] The present invention provides a pain psychotherapy simulation system based on virtual reality technology, the system comprising:

[0044] Virtual reality module, which is used to combine head-mounted display, handles and other control devices to allow patients to enter an immersive virtual world through the device. The environment of the virtual world can be designed according to different treatment needs, such as relaxation, sports training, meditation, etc.

[0045] Virtual reality technology can shift patients' attention from pain to a virtual environment. In this process, patients are immersed in a virtual world, with perceptions and emotions focused on the VR experience, which effectively reduces attention and feelings about pain. Studies have shown that when attention is shifted from the source of pain, patients' perception of pain is significantly reduced; through VR technology, therapists can customize a safe and controllable virtual environment for patients. In these environments, patients can perform simulated therapeutic exercises or cope with painful situations without taking risks in reality. For example, patients can perform relaxation training, meditation, or simulated anxiety situations in the virtual world to reduce the psychological burden caused by pain; VR technology, as a non-drug therapy, can reduce patients' dependence on analgesics, especially in chronic pain management. Virtual reality helps patients manage pain through psychological intervention, thereby reducing the frequency of drug use, drug side effects, and the risk of addiction.

[0046] In this embodiment, it should be specifically explained that the step of allowing the patient to enter an immersive virtual world through the device is:

[0047] The patient first wears a virtual reality device, such as a VR head-mounted display. These devices provide patients with a 3D visual experience through a high-resolution display. The device is usually equipped with a built-in motion tracking system that can follow the patient's head movements, allowing the patient to observe the virtual environment from different angles;

[0048] The patient holds a virtual reality handle or controller to interact with objects in the virtual world. The handle usually has precise motion tracking capabilities that can capture the patient's hand movements and map them into the virtual world, allowing the patient to grab, move or manipulate virtual objects;

[0049] The system detects the patient's position and movement in the physical space through a series of sensors (such as position tracking cameras, motion capture devices, etc.). Before wearing the device, preliminary calibration is required to ensure that the system accurately captures the patient's body posture and position to avoid uncoordinated movement of the patient in the virtual world;

[0050] The system determines the scene to be presented and loads the corresponding 3D virtual environment. The virtual world can be dynamically adjusted according to the patient's needs, providing interactive content and adjusting elements in the scene in real time based on the patient's physiological feedback. For example, the system can increase or decrease visual stimulation or sound effects in the environment to enhance immersion;

[0051] Through the head-mounted display, patients will see a three-dimensional virtual world. This world is simulated based on the actual physical space, allowing patients to turn their heads, move their eyes, and observe different angles in the virtual scene. The wide-angle field of view and 3D depth perception provided by the display make patients feel as if they are in it;

[0052] The system provides a three-dimensional surround sound effect through headphones or speakers, so that the sound matches the visual effect. For example, when the patient turns to the source of the sound, the sense of direction of the sound will change, further enhancing the realism of the virtual world;

[0053] Patients can interact with objects in the virtual world through handles, gloves or other sensing devices. For example, in a relaxation scene, patients can touch virtual trees or water; in a sports training scene, patients can grab virtual dumbbells or balls and complete virtual sports tasks as needed. The vibration feedback and sound feedback of the handle make the interaction more realistic.

[0054] A pain assessment module is used to obtain the patient's physiological data, including heart rate data, skin conductivity and brain wave data, and calculate the initial symptom pain index based on the patient's physiological data, and transmit the initial symptom pain index to the pain regulation module;

[0055] Pain is often accompanied by emotional stress reactions, especially acute pain, which can cause an increase in heart rate. Monitoring changes in heart rate helps capture the intensity of this stress response, thereby reflecting the patient's level of pain perception; heart rate data can be monitored continuously and can reflect changes in pain in real time, especially in some dynamic pain scenarios, such as post-surgery or status tracking of chronic pain patients; pain is not only a physiological sensation, but also accompanied by emotional fluctuations, such as anxiety or fear. Changes in skin conductivity can reflect the degree of emotional tension caused by pain, especially in acute pain or sudden pain situations, the skin conductivity will increase significantly; skin conductivity responds quickly to pain stimuli and is suitable for short-term pain assessment, especially when the pain suddenly intensifies, it can quickly detect changes; pain-induced brain activity, especially in the prefrontal cortex, sensory cortex and other areas, can be detected through EEG to detect the activity of these areas in pain perception. This can help quantify the intensity and nature of pain.

[0056] In this embodiment, it should be specifically explained that the step of calculating the initial symptom pain index according to the patient's physiological data is:

[0057] The patient's heart rate data is collected in real time through a heart rate sensor or watch device. Pain usually causes an increase in heart rate, and changes in heart rate can reflect the intensity of pain perception.

[0058] The skin conductivity sensor monitors changes in skin conductivity. Pain and emotional changes often cause increased skin conductivity, so GSR is an important physiological signal for pain assessment;

[0059] The patient's brain electrical activity data is recorded through brain wave monitoring equipment. Different frequencies of brain waves (such as alpha waves and beta waves) are closely related to pain perception and emotional fluctuations;

[0060] Preprocess the collected physiological data to remove interference noise and abnormal fluctuations to ensure the accuracy of the data. Use the Z-score standardization method to standardize physiological signals of different dimensions so that they can be calculated on the same dimension.

[0061] The initial symptom pain index was calculated based on the standardized heart rate, skin conductivity and brain wave activity data, and the calculation formula is: Where IP is the initial symptom pain index, Z HR , Z GSR and ZEEG They are the standardized values ​​of heart rate, skin conductivity, and brain waves.

[0062] The Z-score standardization method, also known as standard deviation standardization, is a standardization technique that converts data into a standard normal distribution. Specifically, it subtracts the mean from the original data and divides it by the standard deviation of the data, so that the mean of the data becomes 0 and the standard deviation is 1. After Z-score standardization, the data points are expressed as the standard deviation deviation from the mean, which enables features of different dimensions or units to be compared on the same scale.

[0063] Different physiological signals have different magnitudes and units. Heart rate is usually 60-100 beats per minute, skin conductivity is measured in microsiemens (μS), and the amplitude of brain waves is measured in microvolts (μV). Therefore, standardization can normalize signals of different dimensions so that they can be combined in the same formula.

[0064] In this embodiment, it should be specifically explained that the steps of using the Z-score standardization method to standardize physiological signals of different dimensions are as follows:

[0065] Acquire physiological signals of different dimensions during a test time when the patient is in a resting state, the physiological signals including heart rate, skin conductivity and brain wave data, and calculate the average values ​​of the physiological signals of different dimensions during the test time, the test time may be one minute or two minutes;

[0066] The patient's current heart rate, skin conductivity, and brain wave data are measured and recorded as actual physiological signals;

[0067] Based on the physiological signals of different dimensions during the detection time when the patient is in a resting state, the standard deviation of the physiological signals of each dimension is calculated, which reflects the natural fluctuation range of the signal;

[0068] The standardized physiological signal is calculated based on the average value of physiological signals in different dimensions, the actual physiological signal and the standard deviation of physiological signals in each dimension. The calculation formula is: Where Z HR , Z GSR and Z EEG They are the standardized values ​​of heart rate, skin conductivity and brain waves, HR actual , GSR actual and EEG pain Represented as the actual physiological signal, HR base , GSR base and EEG base Expressed as the average value of physiological signals in different dimensions, σ HR , σ GSRand σ EEG Expressed as the standard deviation of the physiological signal in each dimension.

[0069] The pain regulation module is used to receive the initial symptom pain index transmitted by the pain assessment module, calculate the regulation factor according to the physiological period information, calculate the actual symptom pain index according to the initial symptom pain index and the regulation factor, and the calculation formula is AP=IP×(1-RF), wherein AP represents the actual symptom pain index, IP represents the initial symptom pain index, RF represents the regulation factor, and transmit the actual symptom pain index to the psychological intervention module;

[0070] In this embodiment, it should be specifically explained that the step of calculating the adjustment factor according to the physiological period information is:

[0071] Obtaining the patient's current hormone level information through the patient's saliva, the current hormone level information including the current estrogen level and progesterone level, and calculating the hormone level influencing factor based on the hormone level information;

[0072] Estrogen gradually decreases before menstruation, and progesterone reaches a peak after ovulation (luteal phase) and then declines rapidly. These hormone fluctuations can affect patients' pain sensitivity, especially when estrogen and progesterone levels are low, patients' perception of pain is enhanced. This fluctuation may lead to deviations in the data collection of pain perception in the pain psychotherapy simulation system based on virtual reality technology.

[0073] The patient's current temperature information is obtained through a temperature sensor, and the emotion fluctuation influencing factor is calculated based on the current temperature information;

[0074] A woman's basal body temperature goes through cyclical changes during her menstrual cycle. After ovulation, the basal body temperature usually rises by about 0.3°C to 0.5°C due to the increase in progesterone. This increase usually lasts for a few days after ovulation until the onset of menstruation. After ovulation, progesterone levels increase and estrogen levels also change. These hormones have an important impact on mood, and progesterone may cause anxiety, depression, or mood swings in some women.

[0075] The regulatory factor is obtained by comprehensive evaluation of the hormone level influencing factors and the mood swing influencing factors. The calculation formula is RF = a1 × HL + a2 × EF, where RF represents the regulatory factor and HL represents the hormone level influencing factor. The change of the hormone level influencing factor will significantly affect the patient's pain sensitivity and emotional response, but this change is not directly due to the feelings of the treatment site, but is related to the interaction between the overall physiological state and psychological emotions. When the hormone level influencing factor increases, the increase in the regulatory factor can offset the effect of hormones on physiological data. Although the increase in estrogen and progesterone may lead to an increase in pain perception, the increase in the regulatory factor will reduce the patient's overall pain sensitivity by improving emotional state and psychological adaptability. This mechanism ensures that the accuracy of data collection is maintained in the pain psychotherapy simulation system based on virtual reality technology, because the change of the regulatory factor can effectively offset the negative impact of hormone fluctuations, thereby helping medical providers to more accurately evaluate and adjust treatment plans and ensure that patients obtain better treatment effects. EF is expressed as the emotional fluctuation influence factor. The increase in the emotional fluctuation influence factor reflects the significant changes in the patient's emotional response, especially in the period from ovulation to menstruation in female patients. Due to the fluctuation of estrogen and progesterone levels, emotional fluctuations are often more obvious. Although these emotional changes may increase the patient's anxiety or discomfort, this change does not directly originate from the feelings of the treatment site, but is intertwined with the overall physiological and psychological state. Therefore, when the emotional fluctuation influence factor increases, the corresponding increase in the regulatory factor can help alleviate the impact of these emotional fluctuations on the patient's physiological data. This enables the pain psychotherapy simulation system based on virtual reality technology to more accurately reflect the patient's true physiological state at the patient's site. Through this dynamic balance mechanism, medical providers can more effectively understand and respond to patients' needs, thereby optimizing treatment plans, improving treatment outcomes and the patient's overall experience. a1 and a2 represent the weight coefficients of hormone level influencing factors and mood swing influencing factors, and a1+a2=1. The specific values ​​of a1 and a2 are determined by professionals based on actual circumstances. For example, a1 and a2 can be 0.4 and 0.6 respectively.

[0076] In this embodiment, it should be specifically explained that the step of calculating the hormone level influencing factor according to the hormone level information is:

[0077] Obtain the estrogen and progesterone levels of the patient during the non-physiological period, recorded as the standard estrogen level and the standard progesterone level;

[0078] Obtain the patient's current estrogen level and calculate the relative rate of estrogen change based on the current estrogen level. The calculation formula is: , where eg represents the relative change rate of estrogen, e base Expressed as standard estrogen level, eactual Expressed as current estrogen level;

[0079] Obtain the patient's current progesterone level and calculate the relative rate of progesterone change based on the current progesterone level. The calculation formula is: Where ph is the relative change rate of progesterone, p base Expressed as standard progesterone level, p actual It is expressed as the current progesterone level;

[0080] The hormone level influencing factor is calculated by adding the relative change rate of estrogen and the relative change rate of progesterone. The calculation formula is HL=eg+ph, where HL represents the hormone level influencing factor, eg represents the relative change rate of estrogen, and ph represents the relative change rate of progesterone.

[0081] In this embodiment, it should be specifically explained that the step of calculating the emotion fluctuation influence factor according to the current temperature information is:

[0082] The body temperature data within the patient's normal time period is monitored and the average body temperature is calculated and recorded as the standard body temperature;

[0083] Use the temperature sensor to obtain the patient's current body temperature data, and calculate the emotion fluctuation influencing factor based on the current body temperature data. The calculation formula is: EF is the emotional fluctuation factor, f actual Represents the patient's current body temperature data, f base Expressed as standard body temperature.

[0084] A psychological intervention module, used for receiving the actual pain index of the disease transmitted by the pain regulation module, and performing psychological intervention according to the actual pain index of the disease;

[0085] By adjusting psychological intervention according to the patient's actual symptom pain index, treatment can be more personalized. Each patient's pain perception and emotional state are different. The actual symptom pain index can quantify this difference, so as to tailor the treatment plan for each patient and avoid a one-size-fits-all treatment method; the combination of psychological intervention and pain index can more accurately respond to the patient's pain and emotional fluctuations. The pain index reflects the patient's subjective pain perception and objective physiological changes. Psychological intervention based on this can more effectively reduce the patient's pain and improve the psychological state, thereby improving the overall effect of treatment.

[0086] The actual symptom pain index can be updated in real time with the progress of treatment and patient feedback, so that psychological intervention can be dynamically adjusted according to the patient's pain fluctuations. If the pain index suddenly rises, the psychotherapist can adjust the intervention strategy in time to better respond to emergencies or relieve the situation of increased pain; pain is often accompanied by anxiety, stress or depression. Through psychological intervention based on the pain index, the psychological burden caused by pain can be directly guided and dealt with. By relieving the pain sensation, the patient's anxiety and stress will also be reduced accordingly, improving overall mental health.

[0087] In this embodiment, it should be specifically explained that the steps of psychological intervention according to the actual pain index of the disease are:

[0088] The actual symptom pain index is compared with the preset threshold. If the actual symptom pain index is less than the preset threshold F1, it is judged that the patient's current pain is relatively mild, and no pain psychological treatment is performed; if the actual symptom pain index is greater than F1 and less than F2, it is judged that the patient currently has obvious pain, and mild pain psychological treatment is performed; if the actual symptom pain index is greater than F2, it is judged that the patient's current pain is relatively severe, and severe pain psychological treatment is performed.

[0089] 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.

[0090] The above is only a specific implementation of the present application, but the protection scope of the present application is not limited thereto. Any person skilled in the art who is familiar with the present technical field can easily think of changes or substitutions within the technical scope disclosed in the present application, which should be included in the protection scope of the present application. Therefore, the protection scope of the present application should be based on the protection scope of the claims.

Claims

1. A pain psychotherapy simulation system based on virtual reality technology, characterized in that: The system comprises: A virtual reality module is used to combine a head-mounted display, a handle, and other control devices to allow patients to enter an immersive virtual world through the device; A pain assessment module is used to obtain the patient's physiological data, including heart rate data, skin conductivity and brain wave data, and calculate the initial symptom pain index based on the patient's physiological data, and transmit the initial symptom pain index to the pain regulation module; The pain regulation module is used to receive the initial symptom pain index transmitted by the pain assessment module, calculate the regulation factor according to the physiological period information, calculate the actual symptom pain index according to the initial symptom pain index and the regulation factor, and the calculation formula is AP=IP×(1-RF), wherein AP represents the actual symptom pain index, IP represents the initial symptom pain index, RF represents the regulation factor, and transmit the actual symptom pain index to the psychological intervention module; The psychological intervention module is used to receive the actual disease pain index transmitted by the pain regulation module and perform psychological intervention according to the actual disease pain index.

2. The pain psychotherapy simulation system based on virtual reality technology according to claim 1, characterized in that: The step of calculating the initial pain index according to the patient's physiological data is: Through the heart rate sensor, the patient's heart rate data is collected in real time; Monitor changes in skin conductivity through skin conductivity sensors; Record the patient's brain electrical activity data through brain wave monitoring equipment; Preprocess the collected physiological data and use the Z-score standardization method to standardize physiological signals of different dimensions; The initial symptom pain index was calculated based on the standardized heart rate, skin conductivity and brain wave activity data, and the calculation formula is: Where IP is the initial symptom pain index, Z HR , Z GSR and Z EEG They are the standardized values ​​of heart rate, skin conductivity, and brain waves.

3. The pain psychotherapy simulation system based on virtual reality technology according to claim 2, characterized in that: The steps of using the Z-score standardization method to standardize physiological signals of different dimensions are as follows: Acquire physiological signals of different dimensions during the detection time when the patient is in a resting state, wherein the physiological signals include heart rate, skin conductivity, and brain wave data, and calculate the average values ​​of the physiological signals of different dimensions during the detection time; The patient's current heart rate, skin conductivity, and brain wave data are measured and recorded as actual physiological signals; According to the physiological signals of different dimensions during the detection time when the patient is in a resting state, the standard deviation of the physiological signals of each dimension is calculated; The standardized physiological signal is calculated based on the average value of physiological signals in different dimensions, the actual physiological signal and the standard deviation of physiological signals in each dimension. The calculation formula is: Where Z HR , Z GSR and Z EEG They are the standardized values ​​of heart rate, skin conductivity and brain waves, HR actual , GSR actual and EEG pain Represented as the actual physiological signal, HR base , GSR base and EEG base Expressed as the average value of physiological signals in different dimensions, σ HR , σ GSR and σ EEG Expressed as the standard deviation of the physiological signal in each dimension.

4. The pain psychotherapy simulation system based on virtual reality technology according to claim 1, characterized in that: The step of calculating the adjustment factor according to the physiological period information is: Obtaining the patient's current hormone level information through the patient's saliva, the current hormone level information including the current estrogen level and progesterone level, and calculating the hormone level influencing factor based on the hormone level information; The patient's current temperature information is obtained through a temperature sensor, and the emotion fluctuation influencing factor is calculated based on the current temperature information; The regulating factor is obtained by comprehensive evaluation of the factors affecting hormone levels and the factors affecting mood fluctuations. The calculation formula is RF=a1×HL+a2×EF, where RF represents the regulating factor, HL represents the factors affecting hormone levels, EF represents the factors affecting mood fluctuations, and a1 and a2 represent the weight coefficients of the factors affecting hormone levels and the factors affecting mood fluctuations.

5. The pain psychological treatment simulation system based on virtual reality technology according to claim 4, characterized in that: The step of calculating the hormone level influencing factor according to the hormone level information is: Obtain the estrogen and progesterone levels of the patient during the non-physiological period, recorded as the standard estrogen level and the standard progesterone level; Obtain the patient's current estrogen level and calculate the relative rate of estrogen change based on the current estrogen level. The calculation formula is: Where eg represents the relative change rate of estrogen, e base Expressed as standard estrogen level, e actual Expressed as current estrogen level; Obtain the patient's current progesterone level and calculate the relative rate of progesterone change based on the current progesterone level. The calculation formula is: Where ph is the relative change rate of progesterone, p base Expressed as standard progesterone level, p actual It is expressed as the current progesterone level; The hormone level influencing factor was calculated by adding the relative change rate of estrogen and the relative change rate of progesterone.

6. The pain psychological treatment simulation system based on virtual reality technology according to claim 4, characterized in that: The step of calculating the emotion fluctuation influence factor according to the current temperature information is: The body temperature data within the patient's normal time period is monitored and the average body temperature is calculated and recorded as the standard body temperature; Use the temperature sensor to obtain the patient's current body temperature data, and calculate the emotion fluctuation influencing factor based on the current body temperature data. The calculation formula is: EF is the emotional fluctuation factor, f actual Represents the patient's current body temperature data, f base Expressed as standard body temperature.

7. The pain psychotherapy simulation system based on virtual reality technology according to claim 1, characterized in that: The steps of psychological intervention according to the actual pain index of the disease are: The actual pain index of the disease is compared with the preset threshold value. If the actual pain index of the disease is less than the preset threshold value F1, it is determined that the patient's current pain is mild, and no pain psychological treatment is performed; If the actual symptom pain index is greater than F1 and less than F2, the patient is judged to be experiencing significant pain and mild pain psychological treatment is performed; If the actual symptom pain index is greater than F2, the patient's current pain is judged to be severe, and severe pain psychological treatment is performed.

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