Music therapy and auricular point stimulation-based anxiety intervention system for college students to take test

Abstract

The invention discloses a college student subject anxiety intervention system based on music therapy and auricular point stimulation, and relates to the technical field of psychological intervention and health management. The system comprises a data acquisition module, an evaluation analysis module, an intervention strategy generation module, a music intervention module, an auricular point stimulation module and an effect feedback module. The data acquisition module is used for acquiring physiological signals of college students, test taking related information and anxiety self-evaluation data; the evaluation analysis module constructs an anxiety grade evaluation model based on the collected data to determine an anxiety grade; the intervention strategy generation module matches a corresponding music therapy and an auricular point stimulation scheme according to the anxiety level; the music intervention module plays personalized music, and the auricular point stimulation module realizes accurate and safe auricular point electrical stimulation through a flexible electrode; the effect feedback module collects physiological signals and subjective feelings in intervention in real time, and dynamically adjusts an intervention scheme. The method combines two therapies to realize individual accurate intervention of anxiety taken by college students, is remarkable in effect and high in safety, and can be widely applied to the field of college psychological health education.

Description

Technical Field

[0001] This invention relates to the field of psychological intervention and health management technology, specifically to a college student exam anxiety intervention system based on music therapy and auricular acupuncture stimulation. Background Technology

[0002] With the popularization of higher education and the intensification of employment competition, college students are facing increasing pressure from exams, and exam anxiety is becoming more and more prominent. Exam anxiety is an emotional disorder that occurs in exam situations, mainly manifested as negative emotions such as tension, fear, and worry, accompanied by physiological reactions such as increased heart rate, rapid breathing, and difficulty concentrating, which seriously affects college students' exam performance, mental health, and overall well-being.

[0003] Currently, intervention methods for addressing exam anxiety among college students mainly include psychological counseling, medication, and behavioral intervention. Psychological counseling requires the involvement of professional psychological counselors, is costly, and is difficult to implement on a large scale; medication has side effects and may lead to dependence, making it unsuitable for the general college student population; traditional behavioral intervention methods, such as relaxation training and cognitive restructuring, are highly susceptible to individual differences and lack precision.

[0004] Music therapy, as a non-invasive and side-effect-free psychological intervention, regulates the body's emotional state through specific musical stimuli and has been widely used in the intervention of emotional problems such as anxiety and depression. However, existing music therapies often use standardized music programs without fully considering individual differences, resulting in limited intervention effects. Auricular acupuncture is a characteristic therapy of Traditional Chinese Medicine. The auricle contains acupoints corresponding to various organs and systems of the body. Stimulating specific acupoints can regulate the body's Qi and blood, and organ functions, thereby improving emotional state. Current auricular acupuncture methods mostly involve manual pressure or acupuncture, which are inconvenient to perform, and the intensity and frequency of stimulation are difficult to control precisely, making them unsuitable for university students to use independently.

[0005] Therefore, how to combine music therapy with auricular acupuncture to achieve personalized and precise intervention for college students' exam anxiety, improve the intervention effect, and at the same time ensure the convenience and safety of operation has become an urgent technical problem to be solved. Summary of the Invention

[0006] To address the shortcomings of existing technologies, the present invention aims to provide a college student test anxiety intervention system based on music therapy and auricular acupuncture stimulation. By combining music therapy with auricular acupuncture stimulation, personalized and precise test anxiety intervention can be achieved, improving the intervention effect while ensuring convenient and safe operation, making it suitable for large-scale promotion and application.

[0007] To achieve the above objectives, the present invention provides the following technical solution: A college student test-taking anxiety intervention system based on music therapy and auricular stimulation includes: The system includes a data acquisition module, an evaluation and analysis module, an intervention strategy generation module, a music intervention module, an auricular acupoint stimulation module, and an effect feedback module. The data acquisition module is used to collect physiological signals, test-related information, and anxiety self-rating data of college students. The physiological signals include heart rate, skin conductance signals, and respiratory rate. The assessment and analysis module is communicatively connected to the data acquisition module, and is used to receive the data collected by the data acquisition module, construct an anxiety level assessment model, assess the test anxiety level of college students based on the data, and output the anxiety level assessment result. The intervention strategy generation module is communicatively connected to the assessment and analysis module. It is used to receive the anxiety level assessment results, pre-store multiple music therapy plans and auricular stimulation plans corresponding to different anxiety levels, and match the corresponding personalized music therapy plans and auricular stimulation plans according to the anxiety level assessment results. The music intervention module is communicatively connected to the intervention strategy generation module, and is used to receive the personalized music therapy plan, play the corresponding music according to the plan, and realize music therapy intervention. The auricular acupoint stimulation module is communicatively connected to the intervention strategy generation module and is used to receive the personalized auricular acupoint stimulation plan, including the stimulation acupoint location, stimulation intensity, stimulation frequency and stimulation duration, and to perform electrical stimulation on the corresponding auricular acupoints through flexible electrodes to realize auricular acupoint stimulation intervention. The effect feedback module is communicatively connected to the music intervention module, the auricular stimulation module, and the assessment and analysis module, respectively. It is used to collect physiological signals and subjective anxiety data of college students in real time during the intervention process, and transmit the collected data to the assessment and analysis module. The assessment and analysis module adjusts the anxiety level assessment results based on the feedback data. The intervention strategy generation module dynamically optimizes the personalized music therapy plan and auricular stimulation plan based on the adjusted anxiety level assessment results.

[0008] Furthermore, the data acquisition module includes a physiological signal acquisition unit, an examination information acquisition unit, and a self-assessment data acquisition unit. The physiological signal acquisition unit uses wearable sensing devices, including a heart rate sensor, a skin conductance sensor, and a respiratory sensor, to collect the heart rate, skin conductance signals, and respiratory rate of university students in real time. The examination information acquisition unit collects information on the university students' examination subjects, examination time, past examination scores, and sources of examination stress through questionnaires or voice input. The self-assessment data acquisition unit uses a standardized anxiety self-assessment scale to guide university students to complete self-assessment and collect self-assessment scores.

[0009] Furthermore, the anxiety level assessment model constructed by the assessment and analysis module adopts a machine learning algorithm, including a feature extraction layer, a feature fusion layer, and a classification layer. The feature extraction layer extracts features from the collected physiological signals, test-related information, and anxiety self-assessment data to obtain physiological feature vectors, test-related information feature vectors, and self-assessment feature vectors. The feature fusion layer uses an attention mechanism to fuse the three feature vectors to obtain a comprehensive feature vector. The classification layer uses a support vector machine or random forest algorithm to input the comprehensive feature vector into a preset classification model and outputs the anxiety level, which includes three levels: mild anxiety, moderate anxiety, and severe anxiety.

[0010] Furthermore, the intervention strategy generation module pre-stores music therapy programs including a music repertoire library with different rhythms, melodies, and modes. For mild anxiety, soothing light music is matched with a rhythm of 60-80 beats per minute and a smooth, gentle melody. For moderate anxiety, relaxation-guided music is matched with natural sound effects, a rhythm of 50-70 beats per minute, and progressive relaxation guidance voice. For severe anxiety, therapeutic music is matched with music customized by a professional music therapist, combined with breathing guidance, and a rhythm of 40-60 beats per minute.

[0011] Furthermore, the auricular acupoint stimulation module includes a flexible electrode assembly, an electrical stimulation driving unit, and a positioning unit. The flexible electrode assembly is made of medical-grade flexible conductive material, conforms to the shape of the auricle, and has multiple adjustable electrode contacts. The positioning unit, based on auricular acupoint anatomy atlases, uses image recognition technology to assist in locating auricular acupoints related to Shenmen, Heart, Liver, Kidney, and Subcortex, as well as those related to emotion regulation. The electrical stimulation driving unit outputs corresponding pulse electrical signals according to the auricular acupoint stimulation scheme. The pulse type is a square wave or a sine wave, and the stimulation intensity is 0.1-5mA, which can be adjusted according to the tolerance of university students.

[0012] Furthermore, the effect feedback module includes a real-time physiological monitoring unit and a subjective evaluation unit. The real-time physiological monitoring unit and the physiological signal acquisition unit use the same sensing devices to collect data on changes in heart rate, skin conductance signals, and respiratory rate during the intervention process in real time. The subjective evaluation unit uses real-time scoring or voice feedback to guide college students to provide an anxiety score every preset time during the intervention process. The assessment and analysis module calculates the magnitude of changes in physiological signals and the change in subjective anxiety scores before and after the intervention. When the change value does not reach a preset threshold, the intervention strategy generation module is triggered to adjust the intervention plan.

[0013] Furthermore, it also includes a data storage module, which is communicatively connected to the data acquisition module, assessment and analysis module, intervention strategy generation module, and effect feedback module. The data storage module is used to store the collected raw data, anxiety level assessment results, personalized intervention plans, and intervention effect feedback data. The data is stored in an encrypted manner to ensure user privacy and security.

[0014] Furthermore, it also includes an interactive display module, which is communicatively connected to the intervention strategy generation module and the effect feedback module. The interactive display module is used to display the anxiety level assessment results, details of the personalized intervention plan, intervention progress and dynamic curve of intervention effect. At the same time, it provides an interface for manually adjusting intervention parameters, so that college students can fine-tune the music volume and the intensity of ear acupoint stimulation according to their own feelings.

[0015] Compared with the prior art, the present invention has the following beneficial effects: 1. This invention combines music therapy with auricular acupoint stimulation to fully leverage the synergistic effect of the two therapies. Music therapy can directly regulate emotional state, while auricular acupoint stimulation can fundamentally improve emotional problems by regulating organ function. The combination of the two significantly enhances the intervention effect on test anxiety.

[0016] 2. This invention constructs an anxiety level assessment model through multi-dimensional data collection and machine learning algorithms, which can accurately assess the test-taking anxiety level of college students, and then match personalized intervention plans to achieve precise intervention, avoiding the blindness of traditional intervention methods.

[0017] 3. This invention incorporates an effect feedback module that can collect physiological signals and subjective feelings during the intervention process in real time, dynamically adjust the intervention plan, and ensure the continuity and effectiveness of the intervention effect. At the same time, the use of flexible electrodes and adjustable stimulation intensity improves the safety and comfort of the intervention, making it suitable for university students to use independently.

[0018] 4. This invention has a simple structure, is easy to operate, and has a low cost. It can be widely applied in the field of mental health education in universities, effectively solving the problem of exam anxiety among college students and protecting their physical and mental health. Attached Figure Description

[0019] Figure 1 This is a framework diagram of the college student test-taking anxiety intervention system based on music therapy and auricular acupoint stimulation according to the present invention. Figure 2 This is a flowchart illustrating the implementation of the college student exam anxiety intervention system based on music therapy and auricular acupoint stimulation, as described in this invention. Detailed Implementation

[0020] To make the objectives, technical solutions, and advantages of the embodiments of the present invention clearer, the technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments. The components of the embodiments of the present invention described and shown in the accompanying drawings can generally be arranged and designed in various different configurations.

[0021] The college student exam anxiety intervention system based on music therapy and auricular acupoint stimulation proposed in this invention is characterized by: It includes a data acquisition module, an evaluation and analysis module, an intervention strategy generation module, a music intervention module, an auricular acupoint stimulation module, and an effect feedback module; The data acquisition module is used to collect physiological signals, test-related information, and anxiety self-rating data of college students. The physiological signals include heart rate, skin conductance signals, and respiratory rate. The assessment and analysis module is communicatively connected to the data acquisition module, and is used to receive the data collected by the data acquisition module, construct an anxiety level assessment model, assess the test anxiety level of college students based on the data, and output the anxiety level assessment result. The intervention strategy generation module is communicatively connected to the assessment and analysis module. It is used to receive the anxiety level assessment results, pre-store multiple music therapy plans and auricular stimulation plans corresponding to different anxiety levels, and match the corresponding personalized music therapy plans and auricular stimulation plans according to the anxiety level assessment results. The music intervention module is communicatively connected to the intervention strategy generation module, and is used to receive the personalized music therapy plan, play the corresponding music according to the plan, and realize music therapy intervention. The auricular acupoint stimulation module is communicatively connected to the intervention strategy generation module and is used to receive the personalized auricular acupoint stimulation plan, including the stimulation acupoint location, stimulation intensity, stimulation frequency and stimulation duration, and to perform electrical stimulation on the corresponding auricular acupoints through flexible electrodes to realize auricular acupoint stimulation intervention. The effect feedback module is communicatively connected to the music intervention module, the auricular stimulation module, and the assessment and analysis module, respectively. It is used to collect physiological signals and subjective anxiety data of college students in real time during the intervention process, and transmit the collected data to the assessment and analysis module. The assessment and analysis module adjusts the anxiety level assessment results based on the feedback data. The intervention strategy generation module dynamically optimizes the personalized music therapy plan and auricular stimulation plan based on the adjusted anxiety level assessment results.

[0022] Furthermore, the data acquisition module includes a physiological signal acquisition unit, an examination information acquisition unit, and a self-assessment data acquisition unit. The physiological signal acquisition unit uses wearable sensing devices, including a heart rate sensor, a skin conductance sensor, and a respiratory sensor, to collect the heart rate, skin conductance signals, and respiratory rate of university students in real time. The examination information acquisition unit collects information on the subjects, examination times, past examination scores, and sources of examination stress of university students through questionnaires or voice input. The self-assessment data acquisition unit uses a standardized anxiety self-assessment scale to guide university students to complete the self-assessment and collect their self-assessment scores. The use of wearable sensing devices enables non-invasive and real-time acquisition of physiological signals, improving the convenience and comfort of data collection. Through multi-dimensional data collection, a comprehensive understanding of the examination anxiety information of university students can be obtained, providing more comprehensive data support for subsequent assessment and intervention.

[0023] Furthermore, the anxiety level assessment model constructed by the assessment and analysis module employs machine learning algorithms, including a feature extraction layer, a feature fusion layer, and a classification layer. The feature extraction layer extracts features from the collected physiological signals, test-related information, and anxiety self-assessment data, obtaining physiological feature vectors, test-related information feature vectors, and self-assessment feature vectors. The feature fusion layer uses an attention mechanism to fuse the three feature vectors, obtaining a comprehensive feature vector. The classification layer uses a support vector machine or random forest algorithm to input the comprehensive feature vector into a preset classification model, outputting an anxiety level, which includes three levels: mild anxiety, moderate anxiety, and severe anxiety. Constructing the assessment model through machine learning algorithms can fully mine effective information from multi-dimensional data, improving the accuracy and objectivity of anxiety level assessment. Using an attention mechanism for feature fusion can highlight features that have a significant impact on the anxiety level, further improving assessment accuracy.

[0024] Furthermore, the intervention strategy generation module pre-stores music therapy programs including a music repertoire library with different rhythms, melodies, and modes. For mild anxiety, soothing light music is matched with a rhythm of 60-80 beats per minute and a smooth, gentle melody; for moderate anxiety, relaxation-guided music is matched with natural sound effects, a rhythm of 50-70 beats per minute, accompanied by progressive relaxation guidance voice; for severe anxiety, therapeutic music is matched with music customized by professional music therapists, combined with breathing guidance, a rhythm of 40-60 beats per minute. Matching corresponding music programs according to different anxiety levels achieves personalized intervention in music therapy and improves the intervention effect. Music with different rhythms and melodies has different effects on regulating human emotions, and precise matching can better exert the emotion regulation effect of music therapy.

[0025] Furthermore, the auricular acupoint stimulation module includes a flexible electrode assembly, an electrical stimulation driving unit, and a positioning unit. The flexible electrode assembly is made of medical-grade flexible conductive material, conforms to the shape of the auricle, and has multiple adjustable electrode contacts. The positioning unit, based on auricular acupoint anatomy atlases, uses image recognition technology to assist in locating auricular acupoints related to emotion regulation, such as Shenmen, Heart, Liver, Kidney, and Subcortex. The electrical stimulation driving unit outputs corresponding pulse electrical signals according to the auricular acupoint stimulation scheme. The pulse type is a square wave or a sine wave, and the stimulation intensity is 0.1-5mA, which can be adjusted according to the university student's tolerance. The flexible electrode assembly can improve wearing comfort and fit, ensuring the effectiveness of stimulation. Image recognition-assisted positioning can help university students accurately find target auricular acupoints, reducing the difficulty of operation. The adjustable stimulation intensity can adapt to the tolerance of different individuals, improving the safety of intervention.

[0026] Furthermore, the effect feedback module includes a real-time physiological monitoring unit and a subjective evaluation unit. The real-time physiological monitoring unit and the physiological signal acquisition unit use the same sensing devices to collect data on changes in heart rate, skin conductance signals, and respiratory rate during the intervention process in real time. The subjective evaluation unit uses real-time scoring or voice feedback to guide college students to provide an anxiety score every preset time interval during the intervention process. The evaluation and analysis module calculates the magnitude of changes in physiological signals and the change in subjective anxiety scores before and after the intervention. When the change value does not reach a preset threshold, the intervention strategy generation module is triggered to adjust the intervention plan. Through real-time feedback and dynamic adjustment, the intervention plan can be optimized in a timely manner to ensure the continuity and effectiveness of the intervention effect. Combining the dual feedback of physiological signals and subjective feelings, the intervention effect can be evaluated more comprehensively.

[0027] Furthermore, the system also includes a data storage module, which is communicatively connected to the data acquisition module, assessment and analysis module, intervention strategy generation module, and effect feedback module. This module stores the collected raw data, anxiety level assessment results, personalized intervention plans, and intervention effect feedback data. The data is stored in encrypted form to ensure user privacy and security. The data storage module enables the traceability and analysis of intervention data, providing data support for optimizing subsequent intervention plans. Encrypted storage effectively protects the personal privacy of university students and improves the system's security and credibility.

[0028] Furthermore, the system also includes an interactive display module, which is communicatively connected to the intervention strategy generation module and the effect feedback module. This module displays anxiety level assessment results, details of personalized intervention plans, intervention progress, and dynamic curves of intervention effects. It also provides an interface for manually adjusting intervention parameters, allowing university students to fine-tune music volume and auricular stimulation intensity according to their own feelings. The interactive display module improves the system's usability, enabling university students to clearly understand the intervention process and its effects. The manual adjustment interface meets individual personalized needs and enhances the user experience. Specific Implementation

[0029] The present invention will be further described in detail below with reference to specific embodiments.

[0030] like Figure 1 , 2 As shown, this embodiment provides a college student test anxiety intervention system based on music therapy and auricular stimulation, including a data acquisition module, an assessment and analysis module, an intervention strategy generation module, a music intervention module, an auricular stimulation module, an effect feedback module, a data storage module, and an interactive display module; The data acquisition module includes a physiological signal acquisition unit, an exam information acquisition unit, and a self-assessment data acquisition unit. The physiological signal acquisition unit uses a wearable wristband with built-in heart rate, skin conductance, and respiratory sensors. Wearing the wristband, university students can collect heart rate, skin conductance, and respiratory rate data in real time at a sampling frequency of 100Hz. The data is transmitted to the assessment and analysis module via Bluetooth. The exam information acquisition unit uses a mobile app questionnaire. The questionnaire includes exam subjects (such as postgraduate entrance exams, CET-4 / 6, final exams, etc.), exam dates, past exam scores, and sources of exam stress (such as fear of failing, excessively high parental expectations, insufficient preparation, etc.). After completing the questionnaire, the data is automatically uploaded to the system. The self-assessment data acquisition unit uses the SAS Anxiety Self-Rating Scale. A mobile app guides university students to complete a 20-question self-assessment, with each question scored on a 1-4 scale. A higher total score indicates a more severe level of anxiety. The self-assessment score is transmitted to the assessment and analysis module in real time. The assessment and analysis module uses the Python programming language and builds an anxiety level assessment model based on the TensorFlow framework. The model includes a feature extraction layer, a feature fusion layer, and a classification layer. The feature extraction layer preprocesses the collected physiological signals, removes noise, and extracts physiological features such as the coefficient of variation of heart rate, peak skin conductance signal, and mean respiratory rate to form a physiological feature vector. The test information is encoded, converting categorical variables such as test subjects and stress sources into numerical vectors, and combining them with continuous variables such as test time and past performance to form a test information feature vector. The self-rated anxiety score is standardized to form a self-rated feature vector. The feature fusion layer uses an attention mechanism to calculate the attention weights of the three feature vectors. The weight values ​​are determined according to the degree of influence of the features on the anxiety level, and then the weighted sum is obtained to obtain a comprehensive feature vector. The classification layer uses a support vector machine algorithm, inputs the comprehensive feature vector into the trained classification model, and outputs the assessment results of mild, moderate, or severe anxiety. The assessment results are then transmitted to the intervention strategy generation module. The intervention strategy generation module pre-stores multiple music therapy plans and auricular stimulation plans corresponding to different anxiety levels. The music repertoire for music therapy plans is stored on a cloud server, including soothing light music (such as Bandari's "Annie's Wonderland"), relaxation-guided music (guided music combined with ocean waves and birdsong), and therapeutic music (piano concertos customized by professional music therapists). For mild anxiety, soothing light music is matched at a tempo of 60-80 beats per minute for 30 minutes; for moderate anxiety, relaxation-guided music is matched at a tempo of 50-70 beats per minute for 45 minutes, with progressive relaxation guidance voice inserted every 15 minutes; for severe anxiety, therapeutic music is matched at a tempo of 40-60 beats per minute for 60 minutes, combined with breathing exercises. The system includes a voice prompt to guide university students in adjusting their breathing rhythm to the music. Pre-stored auricular stimulation protocols include parameters for auricular points such as Shenmen, Heart, Liver, Kidney, and Subcortex. For mild anxiety, Shenmen and Subcortex are stimulated at an intensity of 0.5-1 mA, a frequency of 10 Hz, and a duration of 20 minutes. For moderate anxiety, Shenmen, Heart, and Subcortex are stimulated at an intensity of 1-2 mA, a frequency of 15 Hz, and a duration of 30 minutes. For severe anxiety, Shenmen, Heart, Liver, Kidney, and Subcortex are stimulated at an intensity of 2-3 mA, a frequency of 20 Hz, and a duration of 40 minutes. The intervention strategy generation module matches the corresponding music therapy protocol and auricular stimulation protocol based on the anxiety level output by the assessment and analysis module, and transmits them to the music intervention module and auricular stimulation module respectively. The music intervention module uses a smart speaker to receive the intervention strategy and generate a music therapy plan transmitted by the module via Wi-Fi. It retrieves the corresponding music tracks from the cloud server and plays the music according to the plan requirements. The smart speaker supports volume adjustment with a volume range of 0-100 decibels. University students can control the volume via voice or a mobile app. The auricular acupoint stimulation module includes a flexible electrode assembly, an electrical stimulation driving unit, and a positioning unit. The flexible electrode assembly uses medical-grade silicone as a base, coated with conductive silver paste to form an ear sleeve that conforms to the shape of the auricle. Five adjustable electrode contacts are set on the ear sleeve, each corresponding to a target auricular acupoint. The positioning unit uses a mobile phone camera to capture an image of the auricle, performs image recognition based on an auricular acupoint anatomy atlas, and displays the location marker of the target auricular acupoint on the mobile phone screen, guiding university students to adjust the position of the ear sleeve so that the electrode contacts are aligned with the target auricular acupoint. The electrical stimulation driving unit uses an STM32 microcontroller as the control core, receives stimulation parameters transmitted from the intervention strategy generation module, and outputs corresponding pulse electrical signals through a D / A converter. The pulse type is a square wave, and the stimulation intensity is adjusted by the microcontroller with an adjustment accuracy of 0.1mA. The electrical stimulation driving unit is connected to the flexible electrode assembly via wires to achieve electrical stimulation of the target auricular acupoint. The effect feedback module includes a real-time physiological monitoring unit and a subjective evaluation unit. The real-time physiological monitoring unit uses the same wearable wristband as the data acquisition module to collect heart rate, skin conductance signals, and respiratory rate data in real time during the intervention process, transmitting the data to the assessment and analysis module every 5 minutes. The subjective evaluation unit is implemented through a mobile APP, with a rating window popping up every 15 minutes, guiding college students to rate their current anxiety feelings on a scale of 1 to 10 (1 point for no anxiety, 10 points for extreme anxiety). The rating data is transmitted to the assessment and analysis module in real time. The assessment and analysis module calculates the magnitude of changes in physiological signals before and after the intervention, such as the increase in the coefficient of variation of heart rate, the decrease in the peak value of skin conductance signals, and the decrease in the mean respiratory rate, while also calculating the decrease in the subjective anxiety score. The preset threshold for the magnitude of physiological signal changes is 20%, and the threshold for the decrease in the subjective score is 3 points. When either item fails to reach the threshold, the assessment and analysis module adjusts the anxiety level assessment result, triggering the intervention strategy generation module to adjust the intervention plan, such as increasing the intensity of auricular acupuncture stimulation, extending the music playback time, or changing the music track. The data storage module uses a cloud server to receive and store raw data collected by the data acquisition module, anxiety level assessment results output by the assessment and analysis module, personalized intervention plans generated by the intervention strategy generation module, and feedback data collected by the effect feedback module through an encrypted transmission protocol. The data is encrypted and stored using the AES encryption algorithm, and only authorized users (such as college students or mental health teachers) can access the data after identity verification, thus ensuring user privacy and security. The interactive display module uses a mobile APP interface to display anxiety level assessment results (displayed in text and chart form), personalized intervention program details (including music tracks, playback duration, auricular stimulation locations, stimulation parameters, etc.), intervention progress (intervention duration / total intervention duration), and dynamic curves of intervention effects (real-time display of changes in heart rate, skin conductance signal, respiratory rate, and subjective anxiety score). The APP interface also has manual adjustment buttons, allowing college students to fine-tune the music volume and auricular stimulation intensity within ±20% of preset parameters.

[0031] The workflow of this embodiment is as follows: 1. College students wear wearable wristbands, open a mobile app, and complete test information filling and anxiety self-assessment; 2. The data acquisition module transmits the collected physiological signals, test information, and self-assessment data to the evaluation and analysis module; 3. The assessment and analysis module analyzes the data using an anxiety level assessment model and outputs the anxiety level assessment results; 4. The intervention strategy generation module matches personalized music therapy plans and auricular stimulation plans based on the anxiety level assessment results; 5. The music intervention module plays the corresponding music, and the ear acupoint stimulation module applies electrical stimulation to the target ear acupoints to begin the intervention; 6. The effect feedback module collects physiological signals and subjective anxiety data in real time during the intervention process and transmits them to the assessment and analysis module; 7. The evaluation and analysis module assesses the intervention effect based on the feedback data. If the preset threshold is not reached, the intervention strategy generation module is triggered to adjust the intervention plan. 8. After the intervention is completed, the data storage module stores the complete intervention data, and the interactive display module displays the final intervention effect.

[0032] The present invention and its embodiments have been described above. This description is not restrictive, and the accompanying drawings are only one embodiment of the present invention; the actual structure is not limited thereto. In conclusion, if those skilled in the art are inspired by this description and design similar structures and embodiments without departing from the spirit of the invention, such designs should fall within the protection scope of the present invention.

Claims

1. A system for intervening in exam anxiety among college students based on music therapy and auricular acupuncture, characterized in that: include: The system includes a data acquisition module, an evaluation and analysis module, an intervention strategy generation module, a music intervention module, an auricular acupoint stimulation module, and an effect feedback module. The data acquisition module is used to collect physiological signals, test-related information, and anxiety self-rating data of college students. The physiological signals include heart rate, skin conductance signals, and respiratory rate. The assessment and analysis module is communicatively connected to the data acquisition module, and is used to receive the data collected by the data acquisition module, construct an anxiety level assessment model, assess the test anxiety level of college students based on the data, and output the anxiety level assessment result. The intervention strategy generation module is communicatively connected to the assessment and analysis module. It is used to receive the anxiety level assessment results, pre-store multiple music therapy plans and auricular stimulation plans corresponding to different anxiety levels, and match the corresponding personalized music therapy plans and auricular stimulation plans according to the anxiety level assessment results. The music intervention module is communicatively connected to the intervention strategy generation module, and is used to receive the personalized music therapy plan, play the corresponding music according to the plan, and realize music therapy intervention. The auricular acupoint stimulation module is communicatively connected to the intervention strategy generation module and is used to receive the personalized auricular acupoint stimulation plan, including the stimulation acupoint location, stimulation intensity, stimulation frequency and stimulation duration, and to perform electrical stimulation on the corresponding auricular acupoints through flexible electrodes to realize auricular acupoint stimulation intervention. The effect feedback module is communicatively connected to the music intervention module, the auricular stimulation module, and the assessment and analysis module, respectively. It is used to collect physiological signals and subjective anxiety data of college students in real time during the intervention process, and transmit the collected data to the assessment and analysis module. The assessment and analysis module adjusts the anxiety level assessment results based on the feedback data. The intervention strategy generation module dynamically optimizes the personalized music therapy plan and auricular stimulation plan based on the adjusted anxiety level assessment results.

2. The college student exam anxiety intervention system based on music therapy and auricular acupoint stimulation according to claim 1, characterized in that: The data acquisition module includes a physiological signal acquisition unit, a test information acquisition unit, and a self-assessment data acquisition unit; The physiological signal acquisition unit uses wearable sensing devices, including a heart rate sensor, a skin conductance sensor, and a respiratory sensor, to collect college students' heart rate, skin conductance signals, and respiratory rate in real time; the test information acquisition unit uses questionnaires or voice input to collect information on college students' test subjects, test times, past test scores, and sources of test stress; the self-assessment data acquisition unit uses a standardized anxiety self-assessment scale to guide college students to complete self-assessment and collect self-assessment scores.

3. The college student exam anxiety intervention system based on music therapy and auricular acupoint stimulation according to claim 1, characterized in that: The anxiety level assessment model constructed by the assessment and analysis module adopts a machine learning algorithm, including a feature extraction layer, a feature fusion layer, and a classification layer. The feature extraction layer extracts features from the collected physiological signals, test-related information, and anxiety self-assessment data to obtain physiological feature vectors, test-related information feature vectors, and self-assessment feature vectors. The feature fusion layer uses an attention mechanism to fuse the three feature vectors to obtain a comprehensive feature vector. The classification layer uses a support vector machine or random forest algorithm to input the comprehensive feature vector into a preset classification model and outputs the anxiety level, which includes three levels: mild anxiety, moderate anxiety, and severe anxiety.

4. The college student exam anxiety intervention system based on music therapy and auricular acupoint stimulation according to claim 1, characterized in that: The intervention strategy generation module pre-stores music therapy programs including a music repertoire library with different rhythms, melodies, and modes. For mild anxiety, it matches soothing light music with a tempo of 60-80 beats per minute and a smooth, gentle melody; for moderate anxiety, it matches relaxation-guided music combined with natural sound effects, with a tempo of 50-70 beats per minute and accompanied by progressive relaxation guidance voice; for severe anxiety, it matches therapeutic music customized by a professional music therapist, combined with breathing guidance, with a tempo of 40-60 beats per minute.

5. The college student exam anxiety intervention system based on music therapy and auricular acupoint stimulation according to claim 1, characterized in that: The auricular acupoint stimulation module includes a flexible electrode assembly, an electrical stimulation driving unit, and a positioning unit; the flexible electrode assembly is made of medical-grade flexible conductive material, conforms to the shape of the auricle, and has multiple adjustable electrode contacts. The location unit is based on the auricular anatomical atlas and uses image recognition technology to assist in locating auricular acupoints related to Shenmen, Heart, Liver, Kidney, and Subcortex, as well as those related to emotion regulation. The electrical stimulation drive unit outputs corresponding pulse electrical signals according to the auricular acupoint stimulation scheme. The pulse type is square wave or sine wave, and the stimulation intensity is 0.1-5mA, which can be adjusted according to the tolerance of college students.

6. The college student exam anxiety intervention system based on music therapy and auricular acupoint stimulation according to claim 1, characterized in that: The effect feedback module includes a real-time physiological monitoring unit and a subjective evaluation unit. The real-time physiological monitoring unit and the physiological signal acquisition unit use the same sensing devices to collect data on changes in heart rate, skin conductance signals, and respiratory rate during the intervention process in real time. The subjective evaluation unit uses real-time scoring or voice feedback to guide college students to provide an anxiety score every preset time during the intervention process. The assessment and analysis module calculates the magnitude of changes in physiological signals and the changes in subjective anxiety scores before and after the intervention. When the change value does not reach a preset threshold, the intervention strategy generation module is triggered to adjust the intervention plan.

7. The college student exam anxiety intervention system based on music therapy and auricular acupoint stimulation according to claim 1, characterized in that: It also includes a data storage module, which is communicatively connected to the data acquisition module, assessment and analysis module, intervention strategy generation module and effect feedback module. The data storage module is used to store the collected raw data, anxiety level assessment results, personalized intervention plans and intervention effect feedback data. The data is stored in an encrypted manner to ensure user privacy and security.

8. The college student exam anxiety intervention system based on music therapy and auricular acupoint stimulation according to claim 1, characterized in that: It also includes an interactive display module, which is communicatively connected to the intervention strategy generation module and the effect feedback module. The interactive display module is used to display the anxiety level assessment results, details of the personalized intervention plan, intervention progress and dynamic curve of intervention effect. It also provides an interface for manually adjusting intervention parameters, so that college students can fine-tune the music volume and the intensity of ear acupoint stimulation according to their own feelings.

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