Physiological and psychological data and sound scene association evaluation method and device

Abstract

The invention discloses a physiological and psychological data and sound scene association evaluation method and device, and relates to the technical field of computational analysis. The method comprises the steps that S1, the anxiety degree is obtained based on physiological data; s2, acquiring anxiety degrees on the basis of psychological indexes; s3, according to association of the anxiety degree, obtaining a corresponding sound scene and playing the sound scene, obtaining associated physiological data, obtaining changes of the anxiety degree, and correspondingly adjusting the sound scene and playing the sound scene; s4, acquiring and evaluating the change trend of the anxiety degree based on the change of the anxiety degree, wherein the effective association effect is that the anxiety degree is relieved; the device comprises a wearable device, a sound playing unit, a questionnaire filling device, a central processing platform, a physiological monitoring module, a psychological index evaluation module, a personalized sound scene association module and an association effect evaluation module, according to anxiety degree association sound scenes, associated physiological data is dynamically obtained, and then a new anxiety degree is obtained. And the associated sound scene is correspondingly and dynamically updated, so that the sound scene association efficiency is improved.

Description

Technical Field

[0001] The present invention relates to the field of computing and analysis technology, and in particular to a method and device for evaluating the association between physiological and psychological data and soundscape. Background Art

[0002] Currently, the global prevalence of anxiety disorders is estimated to be about 4.8%. The prevalence of anxiety disorders in the region is between 7% and 10%, and is increasing year by year. It is one of the most common psychological disorders in the region, especially among young people and in urban areas. Anxious people have negative core emotions or cognitive characteristics, such as anxiety, worry, fear, restlessness, fatigue and irritability. People who are exposed to anxiety for a long time will show trait anxiety, which in turn causes anxiety disorders. Therefore, inducing mild and positive emotions can help eliminate anxiety, and positive emotions can be transformed into positive attitudes over time.

[0003] With the deepening of psychological and physiological research, more and more evidence shows that physiological data are closely related to psychological indicators. Physiological data include heart rate and skin galvanic response, and psychological indicators include anxiety and depression. In soundscape association, sound is used to relieve symptoms such as anxiety and depression, and has become an important auxiliary means for the rehabilitation of mental illness. Natural sounds such as wind, birds, rain, streams, springs and insects can make people feel happy. Compared with music, natural sounds do not have specific humanistic connotations and are easily understood and accepted by people with different social backgrounds.

[0004] However, the effects of soundscape association are currently mostly evaluated by subjective feelings, lacking a scientific feedback mechanism based on physiological and psychological data, and failing to integrate the physiological and psychological data of anxious people and associate them with soundscape preference data. It is not possible to flexibly and adaptively alleviate the anxiety level of each individual through soundscape intervention, and it is not possible to adjust the association and evaluation in time according to the patient's emotional state. This makes it difficult to adjust and optimize the association and evaluation process, limiting the accuracy and effectiveness of the association and evaluation.

[0005] Therefore, the low efficiency of associating physiological and psychological data with soundscapes becomes a technical problem that needs to be solved urgently. Summary of the invention

[0006] The present invention provides a method and device for evaluating the association between physiological and psychological data and soundscape, which solves the technical problem of low efficiency in associating physiological and psychological data with soundscape.

[0007] In order to solve the above technical problems, the technical solutions adopted by the present invention are as follows: A method for evaluating the association between physiological and psychological data and soundscape, comprising the following steps: Step S1: obtaining physiological data, including heart rate, skin galvanic response, respiratory rate and body temperature, and obtaining the anxiety level according to a relationship table between physiological parameters and anxiety level, wherein the anxiety level includes mild anxiety, moderate anxiety and severe anxiety; Step S2: obtaining psychological indicators, including state anxiety S-AI and trait anxiety T-AI, and obtaining the anxiety level according to the relationship table between psychological indicators and anxiety level; Step S3: according to the anxiety level, the corresponding soundscape is obtained and played, the physiological data after the association is obtained, the change of the anxiety level is obtained, and the soundscape is adjusted and played accordingly; the soundscape includes natural environmental sounds and urban environmental sounds, and the natural environmental sounds include forests, birdsong and wind. For mild anxiety and moderate anxiety, the foreground sound played is the sound of birdsong, with two types of sound sources, FBSNR of 10dB-15dB, and the foreground sound duration ratio is 75% of the sound material; for severe anxiety, the foreground sound played is the sound of flowing water, with one or two types of sound sources, FBSNR of 15dB, and the foreground sound duration ratio is 100% of the sound material; different soundscape playing time lengths are adopted for people with different anxiety levels, mild anxiety: the first playing time length, moderate anxiety: the second playing time length, severe anxiety: the third playing time length; every time interval threshold, the physiological data and anxiety level after the association are obtained, and then the change of the anxiety level is obtained, and the associated soundscape is adjusted and played accordingly; Step S4: based on the change in anxiety level, the change trend of anxiety level is obtained and evaluated, and the effective correlation effect is that the anxiety level is reduced.

[0008] A further technical solution is that in step S2, the emotional assessment questionnaire STAI is used to obtain psychological indicators.

[0009] A further technical solution is that in step S3, a matching soundscape is generated according to the anxiety levels obtained in step S1 and step S2, and when the anxiety level obtained in step S1 is different from the anxiety level obtained in step S2, a matching soundscape is generated using the heavier anxiety level.

[0010] A further technical solution is that in step S3, the first playing time is 10 minutes, the second playing time is 20 minutes, the third playing time is 30 minutes, and the time interval threshold is 5 minutes.

[0011] A further technical solution is: in the step S4, based on step S1, the physiological parameters before association are obtained, based on step S2, the psychological indicators before association are obtained, based on step S1, the physiological parameters after association are obtained, based on step S2, the psychological indicators after association are obtained, the physiological parameters before association are compared with the physiological parameters after association to obtain physiological comparison results, the psychological indicators before association are compared with the psychological indicators after association to obtain psychological comparison results, and the changing trend of the anxiety level is obtained.

[0012] A further technical solution is that in step S4, the effective association effect is until the physiological parameters return to a normal range.

[0013] A device for evaluating the association between physiological and psychological data and soundscape, and a method for evaluating the association between physiological and psychological data and soundscape, comprising a wearable device for obtaining physiological data, a sound playback unit, a questionnaire filler and a central processing platform, and a physiological monitoring module, a psychological index evaluation module, a personalized soundscape association module and an association effect evaluation module running on the central processing platform, wherein the central processing platform is respectively connected to and communicates with the wearable device, the sound playback unit and the questionnaire filler, A physiological monitoring module is used to obtain physiological data and obtain the anxiety level according to a relationship table between physiological parameters and anxiety levels; A psychological index evaluation module is used to obtain psychological indexes and obtain the anxiety level according to a relationship table between psychological indexes and anxiety levels; A personalized soundscape association module is used to obtain and play the corresponding soundscape according to the anxiety level, obtain the physiological data after association, obtain the change of anxiety level, and adjust the soundscape accordingly and play it; The correlation effect evaluation module is used to obtain and evaluate the changing trend of the anxiety level according to the change of the anxiety level.

[0014] A further technical solution is that the wearable device includes a heart rate monitor, a galvanic skin response device, a respiratory rate sensor and a thermometer, the central processing platform is connected to and communicates with the heart rate monitor, the central processing platform is connected to and communicates with the galvanic skin response device, the central processing platform is connected to and communicates with the respiratory rate sensor, and the central processing platform is connected to and communicates with the thermometer.

[0015] A further technical solution is that the sound playing unit is a speaker or a headset.

[0016] A further technical solution is that the questionnaire filler is a mobile phone, tablet or computer device.

[0017] The beneficial effects of adopting the above technical solution are: A method for evaluating the association between physiological and psychological data and soundscapes, including step S1 of obtaining the anxiety level based on physiological data; step S2 of obtaining the anxiety level based on psychological indicators; step S3 of obtaining and playing the corresponding soundscape according to the anxiety level association, obtaining the associated physiological data, obtaining the change in the anxiety level, adjusting the soundscape accordingly and playing it; step S4 of obtaining and evaluating the change trend of the anxiety level based on the change in the anxiety level, and an effective association effect is that the anxiety level is reduced. The soundscape is associated with the anxiety level, the associated physiological data is dynamically obtained, and then the new anxiety level is obtained, and the associated soundscape is dynamically updated accordingly, thereby improving the efficiency of the associated soundscape.

[0018] A device for evaluating the association between physiological and psychological data and soundscapes, comprising a wearable device for obtaining physiological data, a sound playback unit, a questionnaire filler and a central processing platform, as well as a physiological monitoring module, a psychological index evaluation module, a personalized soundscape association module and an association effect evaluation module running on the central processing platform. The personalized soundscape association module, etc., is used to associate soundscapes according to anxiety levels, and the associated physiological data is dynamically obtained, thereby obtaining a new anxiety level, and the associated soundscape is dynamically updated accordingly, thereby improving the efficiency of the associated soundscape.

[0019] Please refer to the detailed description of the specific implementation method. BRIEF DESCRIPTION OF THE DRAWINGS

[0020] Figure 1 is a flow chart of Embodiment 1 of the present invention; Figure 2 It is a principle block diagram of embodiment 2 of the present invention. DETAILED DESCRIPTION

[0021] The technical solutions in the embodiments of the present application will be clearly and completely described below in conjunction with the drawings in the embodiments of the present application. Obviously, the described embodiments are only part of the embodiments of the present application, rather than all of the embodiments. The following description of at least one exemplary embodiment is actually only illustrative and is by no means intended to limit the present application and its application or use. Based on the embodiments in the present application, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of this application.

[0022] In the following description, many specific details are set forth to facilitate a full understanding of the present application, but the present application may also be implemented in other ways different from those described herein, and those skilled in the art may make similar generalizations without violating the connotation of the present application. Therefore, the present application is not limited to the specific embodiments disclosed below.

[0023] Embodiment 1: like Figure 1 As shown, the present invention discloses a method for evaluating the association between physiological and psychological data and soundscape, comprising the following steps: Step S1: Obtaining anxiety level based on physiological data.

[0024] Physiological data are obtained, including heart rate, galvanic skin response, respiratory rate and body temperature, and the anxiety level is obtained according to a relationship table between physiological parameters and anxiety level, and the anxiety level includes mild anxiety, moderate anxiety and severe anxiety.

[0025] Step S2: Obtaining the anxiety level based on the psychological indicators.

[0026] The psychological indicators were obtained through the emotional assessment questionnaire STAI using a questionnaire filler. The psychological indicators included state anxiety S-AI and trait anxiety T-AI. The anxiety level was obtained based on the relationship table between the psychological indicators and the anxiety level.

[0027] Step S3: Corresponding soundscapes are obtained according to the anxiety level and played through a speaker, the associated physiological data is obtained, the change in anxiety level is obtained, and the soundscapes are adjusted accordingly and played.

[0028] A matching soundscape is generated according to the anxiety levels obtained in step S1 and step S2 and played through a loudspeaker. When the anxiety levels obtained in step S1 are different from those obtained in step S2, a matching soundscape is generated using a heavier anxiety level. The soundscape includes natural ambient sounds and urban ambient sounds. The natural ambient sounds include forests, birdsong, and wind. For mild anxiety and moderate anxiety, the foreground sound played is bird song, with two types of sound sources, FBSNR of 10dB to 15dB, and a foreground sound duration ratio of 75% of the sound material; for severe anxiety, the foreground sound played is flowing water, with 1 or 2 types of sound sources, FBSNR of 15dB, and a foreground sound duration ratio of 100% of the sound material; different soundscape playback durations are used for people with different anxiety levels, mild anxiety: 10 minutes, moderate anxiety: 20 minutes, severe anxiety: 30 minutes; every 5 minutes, physiological data is obtained in real time, and then the changes in anxiety levels are obtained, and the soundscape is adjusted and played accordingly.

[0029] Step S4: based on the change in anxiety level, the change trend of anxiety level is obtained and evaluated, and the effective correlation effect is that the anxiety level is reduced.

[0030] Based on step S1, physiological parameters before association are obtained, based on step S2, psychological indicators before association are obtained, based on step S1, physiological parameters after association are obtained, based on step S2, psychological indicators after association are obtained, the physiological parameters before association are compared with the physiological parameters after association to obtain physiological comparison results, the psychological indicators before association are compared with the psychological indicators after association to obtain psychological comparison results, and the trend of changes in anxiety levels is obtained. An effective association effect is that the anxiety level is reduced until the physiological parameters return to a normal range.

[0031] Embodiment 2: like Figure 2As shown, the present invention discloses a device for evaluating the association between physiological and psychological data and soundscape, including a wearable device for obtaining physiological data, a sound playback unit, a questionnaire filler and a central processing platform, as well as a physiological monitoring module, a psychological index evaluation module, a personalized soundscape association module and an association effect evaluation module running on the central processing platform, the wearable device includes a heart rate monitor, a skin galvanic reaction instrument, a respiratory rate sensor and a thermometer, the sound playback unit is a speaker, the central processing platform is connected and communicated with the heart rate monitor, the central processing platform is connected and communicated with the skin galvanic reaction instrument, the central processing platform is connected and communicated with the respiratory rate sensor, the central processing platform is connected and communicated with the thermometer, the central processing platform is connected and communicated with the speaker, and the central processing platform is connected and communicated with the questionnaire filler, and the physiological data includes heart rate, skin galvanic reaction, respiratory rate and body temperature.

[0032] The physiological monitoring module is used to obtain physiological data and obtain the anxiety level according to the relationship table between physiological parameters and anxiety level. The anxiety level includes mild anxiety, moderate anxiety and severe anxiety.

[0033] The psychological index evaluation module is used for the questionnaire filler to obtain psychological indicators through the emotional evaluation questionnaire STAI. The psychological indicators include state anxiety S-AI and trait anxiety T-AI, and the anxiety level is obtained according to the relationship table between the psychological indicators and the anxiety level.

[0034] The personalized soundscape association module is used to generate a matching soundscape according to the anxiety level obtained by the physiological monitoring module and the psychological index evaluation module and play it through the speaker. The soundscape includes natural environmental sounds and urban environmental sounds. The natural environmental sounds include forests, birdsong and wind. For mild anxiety and moderate anxiety, the foreground sound played is bird singing, with two types of sound sources, FBSNR of 10dB~15dB, and foreground sound duration ratio of 75% sound materials; for severe anxiety, the foreground sound played is flowing water, with 1 or 2 types of sound sources, FBSNR of 15dB, and foreground sound duration ratio of 100% sound materials; different soundscape playing durations are adopted for people with different anxiety levels, mild anxiety: 10 minutes, moderate anxiety: 20 minutes, severe anxiety: 30 minutes; every 5 minutes, physiological data is obtained in real time, and then the changes in anxiety level are obtained, and the soundscape is adjusted accordingly and played. When the anxiety level obtained by the physiological monitoring module is different from the anxiety level obtained by the psychological index evaluation module, the heavier anxiety level is used to generate a matching soundscape.

[0035] The association effect evaluation module is used to obtain the physiological parameters before association based on the physiological monitoring module, obtain the psychological indicators before association based on the psychological indicator evaluation module, obtain the physiological parameters after association based on the physiological monitoring module, obtain the psychological indicators after association based on the psychological indicator evaluation module, compare the physiological parameters before association with the physiological parameters after association to obtain the physiological comparison results, compare the psychological indicators before association with the psychological indicators after association to obtain the psychological comparison results, and obtain the trend of changes in the degree of anxiety. An effective association effect is that the degree of anxiety is reduced until the physiological parameters return to the normal range.

[0036] Psychological index assessment includes State-Trait Anxiety Inventory (STAI), personalized soundscape association includes the number of sound sources, foreground-to-background signal-to-noise ratio (FBSNR) and foreground sound duration ratio, and association effect assessment includes the recovery of physiological and psychological indicators. It can provide patients with personalized soundscape association. The technical methods of each module are combined through data collection, real-time feedback and intelligent analysis to achieve accurate association and effect evaluation, thereby improving the personalization and efficiency of association.

[0037] Details are as follows: The platform integrates functions such as physiological data collection, psychological index evaluation, personalized soundscape association and association effect evaluation. Physiological data include heart rate, galvanic skin response, respiratory rate and body temperature. Psychological index evaluation includes State-Trait Anxiety Inventory (STAI). Personalized soundscape association includes the number of sound sources, Foreground-to-Background Signal-to-Noise Ratio (FBSNR) and foreground sound duration ratio. Association effect evaluation includes the recovery of physiological and psychological indicators. It can provide patients with personalized soundscape association. The technical methods of each module combine data collection, real-time feedback and intelligent analysis to achieve accurate association and effect evaluation, thereby improving the personalization and efficiency of association.

[0038] Physiological monitoring module: The module collects the patient's physiological data in real time through wearable devices, including heart rate monitors, galvanic skin response meters, respiratory rate sensors, and thermometers.

[0039] As shown in Table 1, these data can reflect the patient's physiological changes such as anxiety and stress levels, and provide data support for subsequent psychological indicator analysis.

[0040] All collected data is connected to the central processing platform via Bluetooth or Wi-Fi. After filtering and preprocessing, the data is extracted and analyzed. Real-time monitoring enables the system to dynamically grasp the patient's physiological fluctuations and provide a basis for the generation of personalized association plans.

[0041] Table 1: Relationship between physiological parameters and anxiety level Mild anxiety Moderate anxiety Severe anxiety Heart rate 100-110 times / minute 110-120 times / minute >120 times / minute Galvanic Skin Response 0.1～0.3 µS 0.3～0.5 µS >0.5 µS Respiratory rate 20-24 times / minute 24-30 times / minute >30 times / minute body temperature 36.6℃～37.2℃ 37.2℃～37.5℃ Above 37.5℃ Psychological indicator assessment module: This module evaluates the patient's psychological indicators through the emotional assessment questionnaire STAI. Users fill in the STAI scale questionnaire by scanning the code on their mobile devices. The system provides a short link or QR code, and patients can fill in the questionnaire through their mobile phones, tablets or computer devices. The STAI scale is an effective tool for evaluating anxiety symptoms. Through independent evaluation of state anxiety S-AI and trait anxiety T-AI, it can judge the degree of anxiety from both short-term and long-term time spans. Based on physiological reactions and psychological indicators, the system determines whether the patient is in an anxious or depressed state and assesses its severity.

[0042] Table 2: Relationship between psychological indicators and anxiety levels Mild anxiety Moderate anxiety Severe anxiety S-AI 20-39 minutes 40-59 minutes 60-80 minutes T-AI 20-39 minutes 40-59 minutes 60-80 minutes Personalized soundscape association module: This module generates soundscape content that matches the patient's mental state based on their physiological reactions and psychological indicators. These soundscapes are played through Bluetooth speakers or headphones. These soundscapes include natural and urban ambient sounds, including forests, birdsong and wind, aiming to help patients reduce anxiety and improve their mood through sound stimulation. The foreground sound played for mild and moderate anxiety is bird sounds, with two types of sound sources, FBSNR of 10dB to 15dB, and foreground sound duration ratio of 75% of the sound material. As the anxiety level deepens, the foreground sound played for severe anxiety is the sound of flowing water, with 1 to 2 types of sound sources, FBSNR of 15dB, and foreground sound duration ratio of 100% of the sound material. People with different anxiety levels adopt different soundscape playback durations, mild anxiety: 10 minutes, moderate anxiety: 20 minutes, severe anxiety: 30 minutes. Every 5 minutes, the system evaluates the changes in the patient's anxiety state through real-time monitored physiological data and adjusts the playback content of the soundscape.

[0043] Association effect evaluation module: This module evaluates the association effect and optimizes subsequent associations by comparing the physiological and psychological indicators of patients before and after association. Before and after the soundscape association, the system records the patient's physiological data and STAI questionnaire respectively. The data before and after the association are compared and analyzed through the algorithm model to determine the change in the degree of anxiety. The association effect is evaluated by comparing physiological data and psychological data. Physiological data include heart rate, skin galvanic response and respiratory rate, etc., and psychological data include STAI scale score. An effective association effect should be manifested as a significant reduction in the anxiety state and the restoration of physiological parameters to the normal range. In addition, the system will record and store the patient's association data, and evaluate the changing trend of anxiety symptoms based on the data of the patient's long-term association process. Based on this, the system will automatically generate an association optimization plan to provide a basis for subsequent treatment.

[0044] This application is particularly used for soundscape association of mental illnesses, including anxiety and depression, to provide a personalized association and evaluation system. This technology integrates physiological data monitoring and psychological index evaluation, and by setting different soundscape contents, psychological association is performed to provide accurate association and evaluation support for patients with mental disorders.

[0045] Beneficial technical effects: 1. Personalized association: This application generates personalized soundscape associations by real-time monitoring of physiological and psychological indicators and combining them with the patient's subjective soundscape preferences. This dynamic and personalized association solution can meet the needs of each patient to the greatest extent, thereby improving the effect of the association.

[0046] 2. Real-time adjustment and dynamic feedback: This application provides an association system that can adjust the soundscape content. The system can automatically adjust the soundscape parameters, such as the number of sound sources, the foreground-to-background signal-to-noise ratio, and the foreground sound duration ratio, based on the patient's physiological data and emotional feedback, to ensure that the patient is always in the best soundscape environment during the association process, thereby enhancing the association effect.

[0047] 3. Multi-dimensional correlation effect evaluation: This application not only comprehensively evaluates the patient's association effects through physiological and psychological data, but the multi-dimensional evaluation system can fully and accurately reflect the association progress of anxious people.

[0048] 4. Improve patient experience and associated compliance: This application can provide a flexible association plan based on the patient's emotional state, improve the patient's association experience, and increase the comfort and participation of the association. Personalized association can also help patients improve their compliance with the association and further accelerate the recovery process.

[0049] Experimental Example: Physiological data collection: The patient wears a heart rate monitor, galvanic skin response device, respiratory rate sensor and thermometer, and the system collects the patient's physiological data in real time.

[0050] As shown in Table 1 , the patient's heart rate was 105 beats / min, the galvanic skin response was 0.25 µS, the respiratory rate was 22 times / min, and the body temperature was 37.0°C, which indicated that the patient was in a state of mild anxiety.

[0051] Psychological index assessment: Patients fill in the STAI scale through system prompts to assess their state anxiety S-AI and trait anxiety T-AI.

[0052] Suppose a patient has an S-AI score of 30, which indicates mild anxiety, and a T-AI score of 35, which indicates mild anxiety.

[0053] Personalized soundscape generation: Based on the patient’s physiological data and STAI assessment results, the system generates a personalized soundscape association plan: Sound source type: The two sound sources include bird singing and wind sound, with bird singing as the foreground sound and wind sound as the background sound.

[0054] FBSNR setting: Set the foreground and background signal-to-noise ratio to 12dB to ensure that the sound is clear and does not cause over-stimulation.

[0055] Foreground sound duration ratio: set to 75%, which means that the bird sound will be played 75% of the time.

[0056] Relevant duration: Play for 10 minutes, matching the needs of patients with mild anxiety.

[0057] Association process: The system starts playing personalized soundscape association, a mixture of bird sounds and wind sounds, for 10 minutes. During the association process, the system continuously collects the patient's physiological data, including heart rate and skin galvanic response, and adjusts the soundscape content in real time according to data changes. Every 5 minutes, the system evaluates the patient's physiological fluctuations and maintains the original soundscape.

[0058] Association effect evaluation: After 10 minutes of personalized soundscape association, the patient's heart rate dropped from 105 beats / minute to 95 beats / minute, the skin galvanic response dropped from 0.25µS to 0.18µS, the respiratory rate dropped from 22 times / minute to 18 times / minute, and the body temperature remained at 37.0℃. The patient reported that his mood was relieved and his anxiety was reduced.

Claims

1. A method for evaluating the association between physiological and psychological data and soundscape, characterized by: The following steps are included: Step S1: obtaining physiological data, wherein the physiological data includes heart rate, skin galvanic response, respiratory rate and body temperature, and obtaining the anxiety level according to a relationship table between physiological parameters and anxiety level, wherein the anxiety level includes mild anxiety, moderate anxiety and severe anxiety; Step S2: obtaining psychological indicators, including state anxiety S-AI and trait anxiety T-AI, and obtaining the anxiety level according to the relationship table between psychological indicators and anxiety level; Step S3: according to the anxiety level, the corresponding soundscape is obtained and played, the physiological data after the association is obtained, the change of the anxiety level is obtained, and the soundscape is adjusted and played accordingly; the soundscape includes natural environmental sounds and urban environmental sounds, the natural environmental sounds include forests, birdsong and wind, the foreground sound played for mild anxiety and moderate anxiety is the sound of birdsong, there are two types of sound sources, the FBSNR is 10dB-15dB, and the foreground sound duration ratio is 75% of the sound material; when the anxiety level is severe, the foreground sound played is the sound of flowing water, there are one or two types of sound sources, the FBSNR is 15dB, and the foreground sound duration ratio is 100% of the sound material; different soundscape playing durations are adopted for people with different anxiety levels, mild anxiety: the first playing duration, moderate anxiety: the second playing duration, severe anxiety: the third playing duration; At each time interval threshold, the associated physiological data and anxiety level are obtained, and then the change in anxiety level is obtained, and the associated soundscape is adjusted and played accordingly; Step S4: based on the change in anxiety level, the change trend of anxiety level is obtained and evaluated, and the effective correlation effect is that the anxiety level is reduced.

2. The method for evaluating the association between physiological and psychological data and soundscape according to claim 1, characterized in that: In step S2, the emotional assessment questionnaire STAI is used to obtain psychological indicators.

3. The method for evaluating the association between physiological and psychological data and soundscape according to claim 1, characterized in that: In step S3, a matching soundscape is generated according to the anxiety levels obtained in step S1 and step S2. When the anxiety level obtained in step S1 is different from the anxiety level obtained in step S2, a matching soundscape is generated using a heavier anxiety level.

4. The method for evaluating the association between physiological and psychological data and soundscape according to claim 1, characterized in that: In step S3, the first playing time is 10 minutes, the second playing time is 20 minutes, the third playing time is 30 minutes, and the time interval threshold is 5 minutes.

5. The method for evaluating the association between physiological and psychological data and soundscape according to claim 1, characterized in that: In step S4, the physiological parameters before association are obtained based on step S1, the psychological indicators before association are obtained based on step S2, the physiological parameters after association are obtained based on step S1, and the psychological indicators after association are obtained based on step S2. The physiological parameters before association are compared with the physiological parameters after association to obtain a physiological comparison result, the psychological indicators before association are compared with the psychological indicators after association to obtain a psychological comparison result, and the changing trend of the anxiety level is obtained.

6. The method for evaluating the association between physiological and psychological data and soundscape according to claim 1, characterized in that: In step S4, the effective association effect is until the physiological parameters return to the normal range.

7. A device for evaluating the association between physiological and psychological data and soundscape, used in the method for evaluating the association between physiological and psychological data and soundscape as claimed in any one of claims 1 to 6, characterized in that: The system comprises a wearable device for obtaining physiological data, a sound playing unit, a questionnaire filler and a central processing platform, and a physiological monitoring module, a psychological index evaluation module, a personalized soundscape association module and an association effect evaluation module running on the central processing platform. The central processing platform is respectively connected to and communicates with the wearable device, the sound playing unit and the questionnaire filler. A physiological monitoring module is used to obtain physiological data and obtain the anxiety level according to a relationship table between physiological parameters and anxiety levels; A psychological index evaluation module is used to obtain psychological indexes and obtain the anxiety level according to a relationship table between psychological indexes and anxiety levels; A personalized soundscape association module is used to obtain and play the corresponding soundscape according to the anxiety level, obtain the physiological data after association, obtain the change of anxiety level, and adjust the soundscape accordingly and play it; The correlation effect evaluation module is used to obtain and evaluate the changing trend of the anxiety level according to the change of the anxiety level.

8. The device for evaluating the association between physiological and psychological data and soundscape according to claim 7, characterized in that: The wearable device includes a heart rate monitor, a galvanic skin response device, a respiratory rate sensor and a thermometer. The central processing platform is connected to and communicates with the heart rate monitor, the central processing platform is connected to and communicates with the galvanic skin response device, the central processing platform is connected to and communicates with the respiratory rate sensor, and the central processing platform is connected to and communicates with the thermometer.

9. The device for evaluating the association between physiological and psychological data and soundscape according to claim 7, characterized in that: The sound playing unit is a speaker or earphone.

10. The device for evaluating the association between physiological and psychological data and soundscape according to claim 7, characterized in that: The questionnaire filler is a mobile phone, tablet or computer device.

Images