Acupuncture teaching simulation system and method

Abstract

The invention relates to the field of acupuncture teaching simulation, in particular to an acupuncture teaching simulation system and method. The method comprises the steps that based on acupuncture operation position data in historical stages, acupuncture point coordinates in acupuncture operation in all the stages are corrected; further calculating a positioning accuracy evaluation value of each stage based on the acquired acupuncture operation data; calculating the stimulation intensity of each acupuncture operation in each stage based on acupuncture operation data, and further calculating the comprehensive biological signal response in each stage; calculating a learning effect quantized value of each stage by using a learning effect evaluation algorithm based on the positioning accuracy evaluation value of each stage and the comprehensive biological signal response of each stage; and calculating the difficulty of the next stage based on the learning effect quantized value of each stage. The problems that in traditional acupuncture teaching, a standard acupuncture point model generally cannot adapt to individual differences of all students, each acupuncture operation of the students is difficult to be evaluated immediately and accurately, and the difficulty cannot be dynamically adjusted are solved.

Description

Technical Field

[0001] The present invention relates to the field of acupuncture teaching simulation, and in particular to an acupuncture teaching simulation system and method. Background Art

[0002] Acupuncture is one of the important treatment methods originating from traditional Chinese medicine. By stimulating specific acupoints, it regulates the functions of zang-fu organs and restores the balance of the body. However, as a treatment technique that requires delicate manipulation, high skills and experience, it is extremely challenging for beginners to master basic operation skills, understand the distribution of meridians and acupoints, and judge treatment indications. With the wide spread and recognition of acupuncture therapy, the demand for acupuncture teaching and training is increasing day by day. Especially in modern medical education, as a unique discipline, acupuncture is gradually integrated into the curriculum system of medical majors. The traditional acupuncture education mode relies on the oral description and demonstration of teachers, lacking opportunities for independent operation. In the absence of practical guidance, students may not be able to form correct skill cognitions and precise manipulations. Moreover, traditional acupuncture internship courses require a large amount of time and venue support, often unable to fully meet the needs of all students. Therefore, an acupuncture teaching simulation system has emerged. Through simulation technology, students can carry out a large number of simulation exercises without actual patients, obtain practical experience, and improve operation skills, so as to better cope with the challenges in clinical internships. At the same time, with the continuous development of technology, the acupuncture teaching simulation system will become more and more intelligent and personalized, providing strong support for the inheritance and development of acupuncture science. Summary of the Invention

[0003] The present invention provides an acupuncture teaching simulation system and method to solve the problems in traditional acupuncture teaching, where standard acupoint models usually cannot adapt to the individual differences of each student, making it possible for students to perform acupuncture operations inaccurately during the learning process, resulting in unsatisfactory learning effects; it is difficult to obtain immediate and accurate evaluations of each acupuncture operation of students; and once the difficulty is set, it remains fixed, which may cause students to enter the adaptation state too early or too late.

[0004] An acupuncture teaching simulation system and method of the present invention specifically include the following technical solutions: An acupuncture teaching simulation method includes the following steps: S1: Obtain the historical stage acupuncture operation position data of the student and the acupuncture operation data of each acupuncture operation in the current stage. Based on the historical stage acupuncture operation position data of the student, correct the acupoint coordinates in each stage of acupuncture operation through a personalized standard acupoint model; based on the personalized standard acupoint model and acupuncture operation data, adopt an individualized positioning accuracy evaluation algorithm to evaluate the positioning accuracy of the student in acupuncture operation, and obtain the positioning accuracy evaluation value of each stage; S2: Based on the acupuncture operation data, calculate the stimulation intensity of each acupuncture operation in each stage through the acupuncture stimulation intensity calculation algorithm; based on the stimulation intensity of each acupuncture operation in each stage, calculate the comprehensive biological signal response of each stage using the acupuncture biological signal response calculation algorithm; S3: Based on the positioning accuracy evaluation value of each stage and the comprehensive biological signal response of each stage, calculate the quantified learning effect value of each stage using the learning effect evaluation algorithm; based on the quantified learning effect value of each stage, calculate the difficulty of the next stage using the stage learning effect adaptive adjustment algorithm.

[0005] Preferably, S1 specifically includes: Through a personalized standard acupoint model, calculate the deviation between the acupoint coordinates of the acupuncture operation in the historical stage and the standard acupoint coordinates, and by accumulating and averaging the deviation of each acupuncture operation, correct the acupoint coordinates in the acupuncture operation of each stage.

[0006] Preferably, S1 specifically includes: In the implementation process of the individualized positioning accuracy evaluation algorithm, calculate the positioning deviation of each acupoint during the acupuncture operation of the trainee according to the difference between the coordinates during the trainee's acupuncture operation and the corrected acupoint coordinates of the acupuncture operation, and by introducing a positioning deviation adjustment factor, control the influence of the positioning deviation on the positioning accuracy evaluation.

[0007] Preferably, S1 specifically includes: In the implementation process of the individualized positioning accuracy evaluation algorithm, introduce an error propagation mechanism, and perform weighted processing according to the size of the positioning deviation through a Gaussian function term; at the same time, introduce a time adaptive feedback mechanism to calculate the time adaptive feedback intensity, and by controlling the time sensitivity coefficient and the time adjustment coefficient, dynamically adjust the time adaptive feedback intensity; the formula for calculating the time adaptive feedback intensity is: , where, represents the time adaptive feedback intensity in the th stage and the th acupuncture operation; represents the time adjustment coefficient of the th stage; represents the time sensitivity coefficient of the th stage; represents the time of the th stage and the th acupuncture operation; represents the initial acupuncture operation time of the th stage.

[0008] Preferably, S1 specifically includes: The calculation formula for the positioning accuracy evaluation value at each stage is as follows: , wherein, represents the positioning accuracy evaluation value at the stage; represents the accumulation and averaging of the positioning deviations of all acupuncture operations at the stage; represents the number of acupuncture operations by the trainee at the stage; represents the positioning deviation between the th acupuncture point and the corrected acupuncture operation point during the rd acupuncture operation at the stage; represents the positioning deviation adjustment factor; represents the local error propagation coefficient; represents the Gaussian function term; represents the error propagation term.

[0009] Preferably, the S2 specifically includes: During the implementation of the acupuncture stimulation intensity calculation algorithm, based on the acupuncture depth and acupuncture angle in the acupuncture operation data, an acupuncture depth adjustment factor is introduced to control the influence of acupuncture depth on the stimulation intensity; the calculation formula for the stimulation intensity of each acupuncture operation at each stage is: , wherein, represents the stimulation intensity of the th acupuncture operation at the stage; represents the acupuncture depth adjustment factor; represents the acupuncture depth of the th acupuncture operation at the stage; represents the acupuncture angle of the th acupuncture operation at the stage; represents the cosine function.

[0010] Preferably, the S2 specifically includes: The acupuncture bio-signal response calculation algorithm converts the stimulation intensity into the corresponding physiological response through the physiological characteristic coefficient; the calculation formula for the comprehensive bio-signal response at each stage is: , wherein, represents the comprehensive bio-signal response at the stage; represents the number of acupuncture operations by the trainee at the stage; represents the physiological characteristic coefficient; represents the summation of the interaction between different acupoints; and represents different acupoints; represents the interaction coefficient between acupoints; represents the phase th acupoint affects the change frequency of the cycle during the biological signal response process.

[0011] Preferably, the S3 specifically includes: The learning effect evaluation algorithm takes the maximum value of the positioning accuracy evaluation values of the trainees in each phase and the maximum value of the comprehensive biological signal responses in each phase as reference standards. By setting weights, it adjusts the influence degree of the positioning accuracy evaluation values and the comprehensive biological signal responses in each phase on the learning effect of the trainees in the acupuncture operation training according to the performance and needs of the trainees; the calculation formula for the learning effect quantization value in each phase is: , wherein, represents the learning effect quantization value of the phase; represents the weight of the positioning accuracy evaluation value; represents the phase positioning accuracy evaluation value; represents the weight of the comprehensive biological signal response; represents the phase comprehensive biological signal response; represents the maximum value of the comprehensive biological signal responses in the

[0012] Preferably, the S3 specifically includes: During the implementation of the stage learning effect adaptive adjustment algorithm, set the allowable error range and target learning effect quantization value of the learning effect quantization value. According to the learning effect quantization value of each stage of the trainees, decide whether to adjust the difficulty of the next stage; and decide the difficulty adjustment amount according to the gap between the learning effect quantization value and the target learning effect quantization value in each stage and the change rate of the learning effect with the learning progress; based on the difficulty adjustment amount, calculate the difficulty of the next stage, and the specific formula is as follows: , wherein, represents the phase difficulty; Difficulty of the stage; Indicates the difficulty adjustment amount; Indicates the Quantification value of the learning effect of the stage; Indicates the target quantification value of the learning effect; Indicates the Error range allowed for the quantification value of the learning effect of the stage.

[0013] An acupuncture teaching simulation system, including the following parts: Data acquisition module, personalized standard acupoint model establishment module, individualized positioning accuracy evaluation module, stimulation intensity calculation module, acupuncture bio-signal response module, learning effect evaluation module, difficulty adjustment module; Data acquisition module: Obtain the historical stage acupuncture operation position data and acupuncture operation data of the trainee, output the historical stage acupuncture operation position data to the personalized standard acupoint model establishment module, and output the acupuncture operation data to the individualized positioning accuracy evaluation module and the stimulation intensity calculation module; Personalized standard acupoint model establishment module: Based on the historical stage acupuncture operation position data of the data acquisition module, establish a personalized standard acupoint model, correct the acupoint coordinates of each acupuncture operation in each stage, and obtain the corrected acupoint coordinates in each stage of acupuncture operation; Output the corrected acupoint coordinates in each stage of acupuncture operation to the individualized positioning accuracy evaluation module; Individualized positioning accuracy evaluation module: Based on the corrected acupoint coordinates in each stage of acupuncture operation of the personalized standard acupoint model establishment module and the acupuncture operation data of the data acquisition module, obtain the positioning accuracy evaluation value of each stage through the individualized positioning accuracy evaluation algorithm, and output the positioning accuracy evaluation value of each stage to the learning effect evaluation module; Stimulation intensity calculation module: Based on the acupuncture operation data of the data acquisition module, obtain the stimulation intensity of each acupuncture operation in each stage through the acupuncture stimulation intensity calculation algorithm, and output the stimulation intensity of each acupuncture operation in each stage to the acupuncture bio-signal response module; Acupuncture bio-signal response module: Based on the stimulation intensity of each acupuncture operation in each stage of the stimulation intensity calculation module, obtain the comprehensive bio-signal response of each stage using the acupuncture bio-signal response calculation algorithm, and output the comprehensive bio-signal response of each stage to the learning effect evaluation module; Learning effect evaluation module: Based on the positioning accuracy evaluation value of each stage of the individualized positioning accuracy evaluation module and the comprehensive bio-signal response of each stage of the acupuncture bio-signal response module, obtain the quantification value of the learning effect of each stage using the learning effect evaluation algorithm, and output the quantification value of the learning effect of each stage to the difficulty adjustment module; Difficulty adjustment module: Based on the quantified learning effect values of each stage of the learning effect evaluation module, the difficulty of the next stage is calculated using the stage-based learning effect adaptive adjustment algorithm.

[0014] The beneficial effects of the technical solution of the present invention are: 1. By obtaining the historical stage acupuncture operation position data of the trainee, a personalized standard acupoint model is established, and the acupuncture operation acupoint coordinates are corrected to adapt to the individual differences of the trainee, ensuring that the trainee receives targeted guidance during the acupuncture operation, helping the trainee gradually improve the accuracy of acupuncture, reduce errors, and enhance the overall operation effect.

[0015] 2. Through the personalized standard acupoint model and acupuncture operation data, combined with the error propagation mechanism, time adaptive feedback mechanism, and positioning deviation adjustment factor, the positioning accuracy of the trainee during acupuncture operation is accurately evaluated; the error propagation mechanism and time adaptive feedback mechanism can dynamically adjust the time adaptive feedback intensity and accuracy, avoiding the influence of individual operation deviations on the overall evaluation result, ensuring that the trainee can obtain appropriate feedback under different learning progress and performances, thereby enhancing the adaptability and robustness during the learning process.

[0016] 3. The acupuncture stimulation intensity calculation algorithm and acupuncture bio-signal response calculation algorithm are introduced. By comprehensively considering the depth, angle of the trainee's acupuncture operation, the interaction between different acupoints, and the physiological response, the stimulation intensity of each acupuncture operation is combined with the trainee's comprehensive bio-signal response to provide accurate feedback for the trainee; by simulating the interaction between different acupoints and the periodic physiological response, it can comprehensively reflect the impact of acupuncture operation on the trainee's bio-signals, improve the accuracy and systematicness of the teaching effect, and help the trainee better understand and master the operation essentials.

[0017] 4. Through the learning effect evaluation algorithm, by comprehensively considering the positioning accuracy evaluation value and the comprehensive bio-signal response, the quantified learning effect value is calculated. Through the standardization process and setting appropriate weights, the learning effect of the trainee can be objectively evaluated, providing an accurate basis for subsequent teaching; through the stage-based learning effect adaptive adjustment algorithm, the difficulty of the next stage can be dynamically adjusted according to the trainee's performance in each stage, ensuring that the trainee is always in the best learning state, avoiding the influence of too high or too low difficulty on the learning effect, and ensuring that the trainee's learning burden is moderate, challenging yet maintaining learning motivation. BRIEF DESCRIPTION OF THE DRAWINGS

[0018] Figure 1 It is a structural diagram of an acupuncture teaching simulation system according to the present invention; Figure 2 It is a flowchart of an acupuncture teaching simulation method according to the present invention. DETAILED DESCRIPTION OF THE INVENTION

[0019] In order to further elaborate on the technical means and effects adopted by the present invention to achieve the intended invention purpose, the technical solutions in the embodiments of the present invention will be clearly and completely described below in conjunction with the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only a part of the embodiments of the present invention, rather than all of the embodiments. All other embodiments obtained by those of ordinary skill in the art based on the embodiments of the present invention without making creative efforts belong to the protection scope of the present invention.

[0020] Unless otherwise defined, all technical and scientific terms used herein have the same meaning as commonly understood by those skilled in the technical field to which the present invention belongs.

[0021] The following specifically describes the specific solutions of an acupuncture teaching simulation system and method provided by the present invention in conjunction with the accompanying drawings.

[0022] Referring to the attached Figure 1 figure, which shows the structural diagram of an acupuncture teaching simulation system provided by an embodiment of the present invention. The system includes the following parts: A data acquisition module, a personalized standard acupoint model establishment module, an individualized positioning accuracy evaluation module, a stimulation intensity calculation module, an acupuncture bio-signal response module, a learning effect evaluation module, and a difficulty adjustment module; Data acquisition module: Obtain the historical stage acupuncture operation position data and acupuncture operation data of the trainee, output the historical stage acupuncture operation position data to the personalized standard acupoint model establishment module, and output the acupuncture operation data to the individualized positioning accuracy evaluation module and the stimulation intensity calculation module; Personalized standard acupoint model establishment module: Based on the historical stage acupuncture operation position data of the data acquisition module, establish a personalized standard acupoint model, correct the acupoint coordinates of each acupuncture operation in each stage, and obtain the corrected acupoint coordinates in the acupuncture operations of each stage; Output the corrected acupoint coordinates in the acupuncture operations of each stage to the individualized positioning accuracy evaluation module; Individualized positioning accuracy evaluation module: Based on the corrected acupoint coordinates in the acupuncture operations of each stage of the personalized standard acupoint model establishment module and the acupuncture operation data of the data acquisition module, obtain the positioning accuracy evaluation value of each stage through the individualized positioning accuracy evaluation algorithm, and output the positioning accuracy evaluation value of each stage to the learning effect evaluation module; Stimulation intensity calculation module: Based on the acupuncture operation data of the data acquisition module, obtain the stimulation intensity of each acupuncture operation in each stage through the acupuncture stimulation intensity calculation algorithm, and output the stimulation intensity of each acupuncture operation in each stage to the acupuncture bio-signal response module; Acupuncture Bio-signal Response Module: Calculate the stimulation intensity of each acupuncture operation in each stage based on the stimulation intensity calculation module, obtain the comprehensive bio-signal response of each stage using the acupuncture bio-signal response calculation algorithm, and output the comprehensive bio-signal response of each stage to the learning effect evaluation module; Learning Effect Evaluation Module: Based on the positioning accuracy evaluation value of each stage of the individualized positioning accuracy evaluation module and the comprehensive bio-signal response of each stage of the acupuncture bio-signal response module, obtain the learning effect quantification value of each stage using the learning effect evaluation algorithm, and output the learning effect quantification value of each stage to the difficulty adjustment module; Difficulty Adjustment Module: Based on the learning effect quantification value of each stage of the learning effect evaluation module, calculate the difficulty of the next stage using the stage-based learning effect adaptive adjustment algorithm.

[0023] Refer to Appendix Figure 2 , which shows a flowchart of an acupuncture teaching simulation method provided by an embodiment of the present invention. The method includes the following steps: S1. Obtain the historical stage acupuncture operation position data of the trainee and the acupuncture operation data of each acupuncture operation in the current stage. Based on the historical stage acupuncture operation position data of the trainee, correct the acupoint coordinates in each stage of acupuncture operation through a personalized standard acupoint model; based on the personalized standard acupoint model and acupuncture operation data, use the individualized positioning accuracy evaluation algorithm to evaluate the positioning accuracy of the trainee in the acupuncture operation and obtain the positioning accuracy evaluation value of each stage; Since the physiological characteristics and operation habits of each trainee may be different, the traditional standard acupoint model may not be able to well adapt to the individual differences of trainees. Therefore, it is necessary to obtain the historical stage acupuncture operation position data of trainees and establish a personalized standard acupoint model, so that trainees can obtain matching operation guidance during the acupuncture learning process, thereby improving the accuracy and effect of acupuncture operation and ensuring that trainees gradually master precise acupuncture techniques during the learning process.

[0024] Based on the historical stage acupuncture operation position data of the trainee, calculate the deviation between the acupoint coordinates of the historical stage acupuncture operation and the standard acupoint coordinates through a personalized standard acupoint model, and correct the acupoint coordinates in each stage of acupuncture operation by accumulating and averaging the deviation of each acupuncture operation. The calculation formula for correcting the acupoint coordinates of acupuncture operation in the personalized standard acupoint model is: , where, represents the corrected coordinate of the th acupoint in the stage acupuncture operation; represents the The coordinates of the standard acupoints of each acupoint serve as the benchmark for correcting the acupoint coordinates in the acupuncture operation at the stage; represents the number of acupuncture operations of the trainees at the stage; represents the accumulation and averaging of the deviations of all acupuncture operations at the stage; represents the deviation between the coordinate of the th acupuncture operation and the coordinate of the standard acupoint of the th acupoint in the acupuncture operation at the stage; , wherein, represents the coordinate of the th acupoint after correction in the acupuncture operation at the stage; represents the coordinates of the standard acupoints of the th acupoint, serving as the benchmark for correcting the acupoint coordinates in the acupuncture operation at the stage; represents the accumulation and averaging of the deviations of all acupuncture operations at the stage; represents the deviation between the coordinate of the th acupuncture operation and the coordinate of the standard acupoint of the th acupoint in the acupuncture operation at the stage; coordinate; , wherein, represents the coordinate of the th acupoint after correction in the acupuncture operation at the stage; represents the coordinates of the standard acupoints of the th acupoint, serving as the benchmark for correcting the acupoint coordinates in the acupuncture operation at the stage; represents the accumulation and averaging of the deviations of all acupuncture operations at the stage; represents the deviation between the coordinate of the th acupuncture operation and the coordinate of the standard acupoint of the th acupoint in the acupuncture operation at the stage; coordinate; Obtain the acupuncture operation data of each acupuncture operation in the current stage in real time, including but not limited to acupuncture positioning, acupuncture depth and angle. Based on the personalized standard acupoint model and acupuncture operation data, an individualized positioning accuracy evaluation algorithm is adopted. By combining the error propagation mechanism and the time adaptive feedback mechanism, the positioning accuracy of the trainee in the acupuncture operation is evaluated, so as to obtain the positioning accuracy evaluation value of each stage; The individualized positioning accuracy evaluation algorithm evaluates the positioning accuracy by calculating the positioning deviation of each acupoint during the acupuncture operation of the trainee. The positioning deviation is obtained based on the difference between the coordinates during the trainee's acupuncture operation and the coordinates of the acupoint after the acupuncture operation is corrected. The deviation of each acupoint is evaluated in the three-dimensional space coordinates and converted into a positioning deviation. The smooth function is used to reduce the drastic fluctuation of the positioning deviation, avoid the unnecessary influence of extreme values on the overall positioning accuracy evaluation, and control the influence degree of the positioning deviation through a positioning deviation adjustment factor.

[0025] The error propagation mechanism is introduced. Considering the influence of the positioning deviation on the overall acupuncture operation, the Gaussian function term is used for weighted processing according to the size of the positioning deviation, appropriately reducing the influence of the acupuncture operation with extremely large positioning deviation on the positioning accuracy evaluation, avoiding the influence of the overall evaluation result due to individual acupuncture operations with serious positioning deviation, ensuring that when the trainee makes a mistake in the operation, it will not have an excessive impact on the overall positioning accuracy evaluation, and improving the robustness.

[0026] Since the acupuncture operations of the trainee may show different accuracy levels at different time periods, in order to consider the time factor during the acupuncture operation of the trainee, a time adaptive feedback mechanism is introduced. Based on the difference between the trainee's acupuncture operation time and the initial acupuncture operation time, the time adaptive feedback intensity is calculated. By controlling the time sensitivity coefficient and the time adjustment coefficient, the time adaptive feedback intensity can be dynamically adjusted to meet the needs of different acupuncture operation times; The calculation formula for the positioning accuracy evaluation value of each stage is: , where, represents the positioning accuracy evaluation value of the th stage; represents the sum of the positioning deviations of all acupuncture operations in the th stage and then taking the average; represents the number of acupuncture operations of the trainee in the th stage; represents the th acupuncture operation in the th stage, and the th acupoint and the positioning deviation of the corrected acupuncture operation acupoint. The formula for the table is: ; represents the The coordinates of the nth acupoint during the mth stage; indicating the coordinates of the nth acupoint during the mth stage; indicating the coordinates of the nth acupoint during the mth stage; represents the positioning deviation adjustment factor, which is used to control the influence degree of the positioning deviation and can be specifically set according to the specific implementation scenario and is not limited here; represents the local error propagation coefficient, which can be specifically set according to the specific implementation scenario and is not limited here; represents the Gaussian function term, which reduces the influence of the positioning deviation through an exponential function; , where represents the time adjustment coefficient of the mth stage, which can be specifically set according to the specific implementation scenario and is not limited here; represents the time sensitivity coefficient of the mth stage, which can be specifically set according to the specific implementation scenario and is not limited here; represents the time of the nth acupuncture operation during the

[0027] By combining the positioning deviation, the time adaptive feedback mechanism and the error propagation mechanism, a comprehensive and personalized positioning accuracy evaluation can be provided for the trainees. It can not only help the trainees discover and improve the deficiencies in the acupuncture operation, but also provide an objective evaluation tool for the teachers, promoting the improvement of the trainees' skills and precise cultivation.

[0028] S2. Based on the acupuncture operation data, calculate the stimulation intensity of each acupuncture operation at each stage through the acupuncture stimulation intensity calculation algorithm; based on the stimulation intensity of each acupuncture operation at each stage, calculate the comprehensive biological signal response at each stage using the acupuncture biological signal response calculation algorithm. During the acupuncture teaching process, the operation intensity and angle of the trainees will directly affect the acupuncture effect. To improve the acupuncture teaching effect, according to the actual operation situation and acupuncture operation data of the trainees in acupuncture teaching, calculate the stimulation intensity of each acupuncture operation at each stage through the acupuncture stimulation intensity calculation algorithm.

[0029] The acupuncture stimulation intensity calculation algorithm introduces an acupuncture depth adjustment factor according to the acupuncture depth and acupuncture angle of each acupuncture operation at each stage, controls the influence of acupuncture depth on the stimulation intensity, and reflects the influence of acupuncture angle on the stimulation intensity through the cosine function. The calculation formula for the stimulation intensity of each acupuncture operation at each stage is: , where represents the stimulation intensity of the th acupuncture operation at the stage; represents the acupuncture depth adjustment factor, which can be specifically set according to the specific implementation scenario and is not limited here; represents the acupuncture depth of the th acupuncture operation at the stage; represents the acupuncture angle of the th acupuncture operation at the stage; represents the cosine function.

[0030] Based on the stimulation intensity of each acupuncture operation at each stage, calculate the comprehensive biological signal response at each stage using the acupuncture biological signal response calculation algorithm. The acupuncture biological signal response calculation algorithm converts the stimulation intensity into the corresponding physiological response through the physiological characteristic coefficient. Acupuncture operations not only produce local stimulation effects, but the interaction between different acupoints will also affect the biological signal response of the trainees. By using the sine function to reflect the time change of the interaction between different acupoints, the periodic characteristics of the physiological response between acupoints after simulating acupuncture operations are simulated.

[0031] The calculation formula for the comprehensive biological signal response at each stage is: , where represents the comprehensive biological signal response at the stage; represents the th The stimulation intensity of the nth acupuncture operation; represents the physiological characteristic coefficient, which is used to convert the stimulation intensity into the corresponding physiological response, and can be specifically set according to the specific implementation scenario and is not limited here; represents the summation of the interaction effects between different acupoints; and represent different acupoints; represents the acupoint interaction coefficient, which reflects the degree of interaction between two acupoints and can be specifically set according to the specific implementation scenario and is not limited here; represents the sine function of the acupoint interaction, which is used to reflect the time variation of the interaction and simulate the periodic characteristics of the physiological responses between acupoints after acupuncture operation; represents the nth stage and the change frequency of the influence period during the biological signal response of the

[0032] S3. Based on the positioning accuracy evaluation values of each stage and the comprehensive biological signal responses of each stage, use the learning effect evaluation algorithm to calculate the quantified learning effect values of each stage; based on the quantified learning effect values of each stage, use the stage learning effect adaptive adjustment algorithm to calculate the difficulty of the next stage; Based on the positioning accuracy evaluation values of each stage and the comprehensive biological signal responses of each stage, use the learning effect evaluation algorithm to evaluate the learning effect of the trainee in the acupuncture operation training and calculate the quantified learning effect values of each stage.

[0033] To ensure that the evaluation has strong representativeness, the learning effect evaluation algorithm uses the maximum value in the positioning accuracy evaluation values of the trainee in each stage as the reference standard, and through the standardization process, eliminates the influence caused by the difficulty difference between different stages; similarly, uses the maximum value in the comprehensive biological signal responses of each stage as the reference standard to ensure the rationality and comparability of the evaluation; further, by setting appropriate weights, adjusts the influence degree of the positioning accuracy evaluation values and the comprehensive biological signal responses of each stage on the learning effect of the trainee in the acupuncture operation training according to the trainee's performance and needs.

[0034] The calculation formula for the quantified learning effect values of each stage is: , where, represents the quantified learning effect value of the nth stage and is used to measure the comprehensive performance of the trainee in the nth stage; The positioning accuracy evaluation value of the stage; Indicates the Maximum value in the positioning accuracy evaluation value of the stage, used as a normalization reference; Indicates the weight of the comprehensive biological signal response, which can be specifically set according to the specific implementation scenario and is not limited here; Indicates the Comprehensive biological signal response of the stage; Indicates the Maximum value in the comprehensive biological signal response of the stage, used as a normalization reference.

[0035] Based on the quantization value of the learning effect in each stage, the difficulty of the next stage is calculated using the adaptive adjustment algorithm for the phased learning effect.

[0036] The adaptive adjustment algorithm for the phased learning effect aims to dynamically adjust the difficulty of the next stage according to the learning effect shown by the trainees during the learning process at different stages, ensuring that the trainees are always in the best learning state, thereby continuously improving the teaching effect.

[0037] At the end of each stage, the adaptive adjustment algorithm for the phased learning effect determines whether to adjust the difficulty of the next stage according to the quantization value of the learning effect of the trainees in each stage; set the allowable error range of the quantization value of the learning effect and the target quantization value of the learning effect. The specific error range and target quantization value of the learning effect can be specifically set according to the specific implementation scenario and are not limited here.

[0038] If the quantization value of the learning effect in each stage is higher than the difference between the target quantization value of the learning effect and the allowable error range of the quantization value of the learning effect, the difficulty will be appropriately increased; if the quantization value of the learning effect in each stage is lower than the sum of the target quantization value of the learning effect and the allowable error range of the quantization value of the learning effect, the difficulty will be appropriately decreased; otherwise, the difficulty remains unchanged.

[0039] The amount of difficulty adjustment is determined according to the gap between the quantization value of the learning effect in each stage and the target quantization value of the learning effect, as well as the change rate of the learning effect with the learning progress. The natural logarithm function can increase the adjustment amplitude when the gap is extremely large and decrease the adjustment amplitude when the difference is extremely small, thus avoiding over-adjustment. By the squared change rate, the response to the situation where the learning effect changes extremely quickly can be increased.

[0040] The formula for the difficulty of the next stage is as follows: , Where, Indicates the Difficulty of the stage; Indicates the Difficulty of the stage; Indicates the Quantification value of the learning effect at a stage Indicates the quantification value of the target learning effect Indicates the Error range allowed for the quantification value of the learning effect at a stage Indicates the difficulty adjustment amount, and the calculation formula is: , Wherein, Indicates the adjustment factor for controlling the amplitude of the difficulty adjustment amount Indicates an adjustment factor used to measure the difference between the quantification value of the learning effect at each stage and the quantification value of the target learning effect, which can be specifically set according to the specific implementation scenario and is not limited here Indicates the natural logarithm function Indicates an adjustment factor for controlling the influence of the learning progress on the difficulty adjustment, which can be specifically set according to the specific implementation scenario and is not limited here Indicates the change rate of the learning effect with the learning progress Indicates the square value of the change rate of the learning effect with the learning progress. By using the squared change rate, the response to the situation where the learning effect changes extremely fast can be enhanced

[0041] By flexibly adjusting the difficulty, it is ensured that the learning burden of the students is neither too heavy nor too easy to lose the challenge

[0042] In summary, an acupuncture teaching simulation system and method are completed

[0043] The order of the invention embodiments is only for description and does not represent the superiority or inferiority of the embodiments. The processes depicted in the accompanying drawings do not necessarily require the specific order or continuous order shown to achieve the desired results. In some embodiments, multi-tasking and parallel processing are also possible or may be advantageous

[0044] Each embodiment in this specification is described in a progressive manner. For the same or similar parts between each embodiment, reference can be made to each other. The key point of each embodiment is to illustrate the differences from other embodiments

[0045] The above embodiments are only used to illustrate the technical solutions of the present invention and are not intended to limit them. Although the present invention has been described in detail with reference to the foregoing embodiments, those of ordinary skill in the art should understand that: they can still modify the technical solutions recorded in the foregoing embodiments, or perform equivalent replacements on some of the technical features; and these modifications or replacements do not make the essence of the corresponding technical solutions deviate from the spirit and scope of the technical solutions of each embodiment of the present invention, and should all be included in the protection scope of the present invention

Claims

1. An acupuncture teaching simulation method, characterized in that Including the following steps: S1: Obtain the historical stage acupuncture operation position data of the trainee and the acupuncture operation data of each acupuncture operation in the current stage. Based on the historical stage acupuncture operation position data of the trainee, through a personalized standard acupoint model, correct the acupoint coordinates in each stage of acupuncture operation; Based on the personalized standard acupoint model and acupuncture operation data, use an individualized positioning accuracy evaluation algorithm to evaluate the positioning accuracy of the trainee in acupuncture operation, and obtain the positioning accuracy evaluation value of each stage; S2: Based on the acupuncture operation data, calculate the stimulation intensity of each acupuncture operation in each stage through an acupuncture stimulation intensity calculation algorithm; Based on the stimulation intensity of each acupuncture operation in each stage, use an acupuncture bio-signal response calculation algorithm to calculate the comprehensive bio-signal response of each stage; S3: Based on the positioning accuracy evaluation value of each stage and the comprehensive bio-signal response of each stage, use a learning effect evaluation algorithm to calculate the learning effect quantization value of each stage; Based on the learning effect quantization value of each stage, use a stage learning effect adaptive adjustment algorithm to calculate the difficulty of the next stage.

2. The acupuncture teaching simulation method according to claim 1, wherein The specific content of S1 includes: Through a personalized standard acupoint model, calculate the deviation between the acupuncture operation acupoint coordinates in the historical stage and the standard acupoint coordinates, and by accumulating and averaging the deviation of each acupuncture operation, correct the acupoint coordinates in each stage of acupuncture operation.

3. The acupuncture teaching simulation method according to claim 2, wherein The specific content of S1 includes: In the implementation process of the individualized positioning accuracy evaluation algorithm, calculate the positioning deviation of each acupoint of the trainee during acupuncture operation according to the difference between the coordinates of the trainee during acupuncture operation and the corrected acupuncture operation acupoint coordinates, and by introducing a positioning deviation adjustment factor, control the influence of the positioning deviation on the positioning accuracy evaluation.

4. The acupuncture teaching simulation method according to claim 3, wherein The specific content of S1 includes: In the implementation process of the individualized positioning accuracy evaluation algorithm, introduce an error propagation mechanism, and perform weighted processing according to the size of the positioning deviation through a Gaussian function term; At the same time, introduce a time adaptive feedback mechanism to calculate the time adaptive feedback intensity, and by controlling the time sensitivity coefficient and time adjustment coefficient, dynamically adjust the time adaptive feedback intensity; The calculation formula of the time adaptive feedback intensity is: ， Among them, represents the time adaptive feedback intensity in the th acupuncture operation in the th phase; represents the time adjustment coefficient in the th phase; represents the time sensitivity coefficient in the th phase; represents the initial acupuncture operation time in the th phase.

5. The acupuncture teaching simulation method according to claim 4, characterized in that, The specific content of S1 includes: The calculation formula of the positioning accuracy evaluation value of each stage is: ， Among them, represents the positioning accuracy evaluation value at the stage; represents the accumulation and average of the positioning deviations of all acupuncture operations at the stage; represents the number of acupuncture operations of the trainee at the stage; represents the positioning deviation between the th acupuncture point and the corrected acupuncture point during the th acupuncture operation at the stage; represents the positioning deviation adjustment factor; represents the local error propagation coefficient; represents the Gaussian function term; represents the error propagation term.

6. The acupuncture teaching simulation method according to claim 1, characterized in that The specific content of S2 includes: In the implementation process of the acupuncture stimulation intensity calculation algorithm, based on the acupuncture depth and acupuncture angle in the acupuncture operation data, introduce an acupuncture depth adjustment factor to control the influence of the acupuncture depth on the stimulation intensity; The calculation formula of the stimulation intensity of each acupuncture operation in each stage is: ， Among them, represents the stimulation intensity of the th acupuncture operation in the th stage; represents the acupuncture depth adjustment factor; represents the acupuncture depth of the th acupuncture operation in the th stage; represents the acupuncture angle of the th acupuncture operation in the th stage; represents the cosine function.

7. The acupuncture teaching simulation method according to claim 6, wherein, The specific content of S2 includes: The acupuncture bio-signal response calculation algorithm converts the stimulation intensity into a corresponding physiological response through a physiological characteristic coefficient; The calculation formula of the comprehensive bio-signal response of each stage is: ， Among them, represents the comprehensive bio-signal response at the stage; represents the number of acupuncture operations performed by trainees at the stage; represents the physiological characteristic coefficient; represents the summation of the interaction effects between different acupoints; and represent different acupoints; represents the interaction coefficient between acupoints; represents the change frequency of the influence period during the bio-signal response of the th acupoint at the stage.

8. The acupuncture teaching simulation method according to claim 7, characterized in that, The specific content of S3 includes: The learning effect evaluation algorithm uses the maximum value among the positioning accuracy evaluation values of the trainee in each stage and the maximum value among the comprehensive bio-signal responses in each stage as reference standards. By setting weights, it adjusts the influence degrees of the positioning accuracy evaluation values and the comprehensive bio-signal responses in each stage on the learning effect of the trainee in acupuncture operation training according to the trainee's performance and requirements. The calculation formula for the learning effect quantization value in each stage is as follows: ， Among them, represents the quantified value of the learning effect in the th stage; represents the weight of the positioning accuracy evaluation value; represents the positioning accuracy evaluation value in the th stage; represents the maximum value among the positioning accuracy evaluation values in the th stage; represents the weight of the comprehensive bio-signal response; represents the comprehensive bio-signal response in the th stage; represents the maximum value among the comprehensive bio-signal responses in the th stage.

9. The acupuncture teaching simulation method according to claim 8, characterized in that, The said S3 specifically includes: In the implementation process of the stage learning effect adaptive adjustment algorithm, set the allowable error range of the learning effect quantization value and the target learning effect quantization value, and decide whether to adjust the difficulty of the next stage according to the learning effect quantization value of the trainee in each stage. And decide the difficulty adjustment amount according to the gap between the learning effect quantization value and the target learning effect quantization value in each stage and the change rate of the learning effect with the learning progress. Based on the difficulty adjustment amount, calculate the difficulty of the next stage, and the specific formula is as follows: ， Among them, represents the difficulty of the th stage; represents the difficulty of the th stage; represents the difficulty adjustment amount; represents the quantified learning effect value of the th stage; represents the target quantified learning effect value; represents the error range allowed for the quantified learning effect value of the th stage.

10. An acupuncture teaching simulation system, applied to the acupuncture teaching simulation method according to any one of claims 1-9, characterized in that, It includes the following parts: Data acquisition module, personalized standard acupoint model establishment module, individualized positioning accuracy evaluation module, stimulation intensity calculation module, acupuncture bio-signal response module, learning effect evaluation module, difficulty adjustment module; Data acquisition module: Acquire the historical stage acupuncture operation position data and acupuncture operation data of the trainee, output the historical stage acupuncture operation position data to the personalized standard acupoint model establishment module, and output the acupuncture operation data to the individualized positioning accuracy evaluation module and the stimulation intensity calculation module; Personalized standard acupoint model establishment module: Based on the historical stage acupuncture operation position data of the data acquisition module, establish a personalized standard acupoint model, correct the acupoint coordinates of each acupuncture operation in each stage, and obtain the corrected acupoint coordinates in each stage of acupuncture operation. Output the corrected acupoint coordinates in each stage of acupuncture operation to the individualized positioning accuracy evaluation module; Individualized positioning accuracy evaluation module: Based on the corrected acupoint coordinates in each stage of acupuncture operation of the personalized standard acupoint model establishment module and the acupuncture operation data of the data acquisition module, obtain the positioning accuracy evaluation value in each stage through the individualized positioning accuracy evaluation algorithm, and output the positioning accuracy evaluation value in each stage to the learning effect evaluation module; Stimulation intensity calculation module: Based on the acupuncture operation data of the data acquisition module, obtain the stimulation intensity of each acupuncture operation in each stage through the acupuncture stimulation intensity calculation algorithm, and output the stimulation intensity of each acupuncture operation in each stage to the acupuncture bio-signal response module; Acupuncture bio-signal response module: Based on the stimulation intensity of each acupuncture operation in each stage of the stimulation intensity calculation module, obtain the comprehensive bio-signal response in each stage using the acupuncture bio-signal response calculation algorithm, and output the comprehensive bio-signal response in each stage to the learning effect evaluation module; Learning effect evaluation module: Based on the positioning accuracy evaluation value in each stage of the individualized positioning accuracy evaluation module and the comprehensive bio-signal response in each stage of the acupuncture bio-signal response module, obtain the learning effect quantization value in each stage using the learning effect evaluation algorithm, and output the learning effect quantization value in each stage to the difficulty adjustment module; Difficulty adjustment module: Based on the quantified learning effect values of each stage of the learning effect evaluation module, the difficulty of the next stage is calculated using the adaptive adjustment algorithm for the phased learning effect.

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