Personalized acoustic intervention regulation method, system, storage medium and electronic device

Abstract

This invention relates to the field of acoustic intervention, specifically to personalized acoustic intervention control methods, systems, storage media, and electronic devices. By combining the user's innate spatiotemporal parameters with the traditional Chinese medicine theory of "Five Tones Therapy," a baseline score and value are obtained. Through fractal modulation, the five signal packets ("Gong, Shang, Jiao, Zhi, Yu") with specific physical envelope characteristics are dynamically adjusted in conjunction with real-time physiological data to control the intervention waveform. By using a signal envelope with the golden ratio, the sound field of nature is simulated, effectively preventing acoustic fatigue in the human body. Through a coupled control algorithm of "static prior weights (Five Elements) + dynamic real-time correction (biofeedback)," the system achieves real-time adjustments for different users. In terms of acoustic intervention, this invention provides a non-pharmacological intervention method.

Description

Technical Field

[0001] This invention relates to the field of acoustic intervention, specifically to personalized acoustic intervention control methods, systems, storage media, and electronic devices. Background Technology

[0002] Currently, acoustic intervention, as a non-invasive, low-cost, and easily accepted sleep aid, has been widely used in the field of sleep health management. Existing acoustic intervention or sleep aid devices mostly use pre-set audio libraries to play white noise, natural sounds (such as rain or ocean waves), or soothing music to the user in one direction. Their core principles are mainly based on masking environmental noise, inducing autonomic nervous system relaxation, or guiding brainwave rhythms (such as through binaural beat stimulation of specific frequency bands). However, these devices generally have the following technical limitations: First, existing acoustic intervention or sleep aid devices generally have a rigid intervention logic that is "one-size-fits-all," seriously ignoring the differences in the innate physical condition of individual users.

[0003] Traditional devices typically have a built-in library of sleep-aiding audio (such as white noise, natural sounds, and soft music) and play it to all users in a uniform format. However, both Traditional Chinese Medicine (TCM) theory of constitution and modern psychosomatic medicine have confirmed that different individuals exhibit significant differences in nerve sensitivity, autonomic nervous system baseline tension, and the predisposition to deficiency or excess in the five internal organs—for example, those with yin deficiency and excessive fire may be sensitive to high-frequency sound waves, while those with phlegm-dampness constitution are more susceptible to low-frequency resonance. Existing devices cannot differentiate acoustic parameters based on the user's constitution, leading to varying intervention effects and even adverse interference.

[0004] Second, existing acoustic intervention or sleep aid devices lack a closed-loop feedback mechanism and cannot dynamically adjust intervention parameters based on the user's real-time stress, anxiety, or sleep status.

[0005] These devices simply execute a preset linear playback process and lack the ability to perceive the user's physiological or psychological state in real time. When a user experiences increased anxiety, worsened heart rate variability, or transitions from light sleep to a state of slight arousal during sleep, the device cannot detect these changes and therefore cannot proactively switch acoustic strategies (such as switching from a soothing rhythm to a frequency band that specifically inhibits anxiety). This open-loop model of "playing without regard to reception" means that intervention always lags behind the user's actual state changes, often missing the optimal adjustment opportunity, especially during the critical window of sleep cycle transitions.

[0006] Third, the signals generated by existing acoustic intervention or sleep aid devices are harsh and mechanical, resulting in poor long-term auditory compliance.

[0007] Traditional electronic audio often employs periodically repetitive synthesized sound waves (such as sine wave scanning and pink noise modulated by square waves), lacking the inherent non-stationarity and subtle fluctuations of natural acoustic signals. The human ear and central auditory system have evolved to be better adapted to natural sound fields with fractal structures and minute random perturbations, such as wind, water flow, and leaf friction. Continuous exposure to harsh, overly regular digital synthesized sounds can actually induce auditory fatigue, attention deficit, and even mild annoyance, leading users to abandon intervention after continuous use. This low compliance directly weakens the cumulative benefits of acoustic intervention, turning devices intended as long-term sleep health tools into short-term experiences. Summary of the Invention

[0008] To address the problems of existing technologies, this invention provides a regulation method, system, and storage medium based on innate spatiotemporal and biological feedback.

[0009] A personalized acoustic intervention and control system includes the following modules: The input module is configured to accept user birth spatiotemporal parameters and real-time EEG and heart rate data. The calculation module is configured to calculate the user's initial rhythm baseline score and initial score vector based on the user's birth spatiotemporal parameters, obtain the user's innate heart rate variability baseline value based on the user's initial rhythm baseline score, and calculate the EEG frequency band power spectrum and heart rate frequency band power spectrum based on the real-time input EEG and heart rate data. The adjustment module is configured to obtain output weights based on the user's innate heart rate variability baseline value, initial score vector, EEG power spectrum and heart rate power spectrum obtained by the calculation module. The modulation module is configured to use Fractal signals are combined with output weight modulation to generate synthetic waveforms; The output module is configured to output a synthesized waveform.

[0010] Preferably, the mathematical expressions for calculating the user's initial rhythm baseline score and initial score vector are as follows: Set the initial rhythm baseline score as The initial rating vector is The details are as follows: in, , The coefficient of the Five Elements corresponding to the Heavenly Stem and Earthly Branch of the birth year, with a value of 1-5; M The six qi prosperity coefficients corresponding to the birth month are parameterized and mapped according to the six qi cycles corresponding to the lunar months. Each two months are divided into a cycle group and assigned rhythm weight values ​​of 1-6 respectively. D The decimal value of the Heavenly Stem and Earthly Branch of the birth date, ranging from 1 to 60;H The coefficient of Qi and Blood Flow corresponding to the birth time is set as follows: 1 for 11:00-1:00, 2 for 1:00-3:00, and so on down to 12 for 21:00-23:00. , , , The preset weighting coefficients satisfy: + + + =1; The formula is: (This refers to the correction factor for birth latitude and longitude.) =0.9+|Lat+Lon| / 1000, with a value ranging from 0.9 to 1.2, where Lat is the latitude of the birthplace and Lon is the longitude of the birthplace; in, The reference frequency weights for the five tones: "Gong, Shang, Jiao, Zhi, Yu"; The coefficient of energy derived from the sexagenary cycle is taken as 0.9-1.1; The constants for sea pressure and hour angle based on the latitude and longitude of the birthplace are taken as -0.1 to 0.1.

[0011] Preferably, the adjustment module is a system that incorporates mutual restraint compensation logic, including: Introducing the transformation matrix Finally, the output weights are obtained. : ; in, The formula for the real-time correction gain is as follows: in, For real-time acquisition of heart rate signals, The personalized correction factor is set between 0.8 and 1.2. The time window length is set to 60 seconds by default. Initial rhythm baseline score The converted baseline value for the user's innate heart rate variability is calculated using the following formula: in, The standard resting heart rate variability reference value is obtained by collecting data during resting time. HRV Indicator acquisition; This is a preset personalized gain factor.

[0012] Preferably, the generation of the synthesized waveform includes the following steps: (a) Output intervention signal: Output intervention signal Defined as: in, This is the amplitude coefficient of the audio signal, with a value ranging from 0 to 1. ; = Wi / (W1+W2+W3+W4+W5), i=1, 2, 3, 4, 5; =[W1,W2,W3,W4,W5]; Carrier characteristics =432Hz; It follows the power spectral density of fractal signal modulation function, where =1; It is a personalized phase offset, derived from the normalized mapping of the spatiotemporal parameters of the user's birth year, month, day, and hour, with a value ranging from 0 to 2π. The calculation formula is as follows: = 2π ( ) / (5+6+60+12) (ii) Envelope superposition: The synthesized waveform is obtained by superimposing the interference signal with the pulse envelope of the 40Hz Gamma band; the synthesized waveform is shown below: in, The 40Hz Gamma modulation intensity, with a value ranging from 0 to 1; The carrier-to-envelope frequency ratio satisfies: in, The carrier frequency is 432Hz. The envelope frequency is 40Hz. =1.618, which is the golden ratio.

[0013] Preferably, when detected When the index is too low, indicating anxiety / excessive internal heat, the matrix... It will automatically perform the "water overcomes fire" operation: it will reduce the amplitude gain of the fire attribute zheng audio band in real time and increase the amplitude gain of the water attribute yu audio band proportionally until the physiological indicators return to the baseline range.

[0014] Preferably, the user's birth spatiotemporal parameters are mapped to a TCM Five Elements feature vector; this feature vector is set as the initial energy distribution weights of Gong, Shang, Jiao, Zhi, and Yu, and based on the TCM traditional medicine theory of "Five Tones for Disease Treatment", "Gong, Shang, Jiao, Zhi, and Yu" are transformed into five signal packets with specific physical envelope characteristics.

[0015] Preferably, the five tones correspond to the five elements, each pointing to its respective fractal signal modulation envelope, and each having its own clinical intervention target, including: The angle corresponds to wood, the digital mapping reference frequency is 384Hz, the fractal signal modulation envelope is upward climbing type, highly coherent, and manifests as downregulation of neural retardation and mood depression; The symbol corresponds to fire, with a digital mapping reference frequency of 432Hz to 480Hz. The fractal signal modulation envelope is a pulse harmonic, with high energy concentration, manifesting as insufficient cyclical power and social withdrawal. The palace corresponds to earth, with a digital mapping reference frequency of 256Hz to 320Hz. The fractal signal modulation envelope is a broadband steady-state distribution with low fluctuations, which manifests as the inhibition of excessive thinking and rumination. The quotient corresponds to gold, the digital mapping reference frequency is 400Hz, and the fractal signal modulation envelope is exponentially rapidly decaying, which manifests as the relief of nerve excitation and excessive stress. Feathers correspond to water, with digital mapping reference frequencies of 40Hz and 128Hz. The fractal signal modulation envelope is a deep low-frequency modulation type with high penetration, which manifests as deep sleep induction and anxiety repair.

[0016] A personalized acoustic intervention and control method, implemented based on the system, includes: Step 1: Input the user's birth time-space parameters; Step 2: Calculate the user's initial rhythm baseline score and initial score vector based on the user's birth spatiotemporal parameters, and obtain the user's innate heart rate variability baseline value based on the user's initial rhythm baseline score; Step 3: Input real-time EEG and heart rate data; Step 4: Calculate the power spectrum of the EEG band and the power spectrum of the heart rate band based on the real-time input EEG and heart rate data; Step 5: Obtain the output weights based on the user's innate heart rate variability baseline value, initial score vector, EEG frequency band power spectrum, and heart rate frequency band power spectrum obtained from the calculation module; Step Six: Adopt Fractal signals are combined with output weight modulation to generate synthetic waveforms; Step 7: Output the synthesized waveform.

[0017] A computer-readable storage medium having a computer program thereon for implementing the method.

[0018] An electronic device includes a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor implements the method when executing the program.

[0019] The technical solution of the present invention achieves the following beneficial technical effects: I. By collecting users' birth spatiotemporal parameters, these are mapped to a Traditional Chinese Medicine (TCM) Five Elements feature vector. This vector is then mapped to a pre-defined geophysical energy distribution model to calculate an individual's intrinsic initial rhythm baseline score (NPS). This Five Elements feature vector is set as the initial energy distribution weights of the five musical notes (Gong, Shang, Jiao, Zhi, Yu). Based on the TCM theory of "Five-Tone Therapy," these notes are transformed into five signal packets with specific physical envelope characteristics. Through these initial energy distribution weights, each user's innate characteristics can be constructed, enabling adaptive optimization of the system for different users.

[0020] Second, by employing a cloud-based closed-loop algorithm, the collected physiological data is compared with the innate characteristics of different users to identify physiological deviations, and the weights of the five tones are adjusted based on real-time physiological deviations. This improves the speed and accuracy of the system's calculations.

[0021] III. Through Fractal modulation functions generate non-stationary fluctuation signals that closely resemble natural sound, reducing the mechanical feel; a dynamic phase-locking mechanism is introduced to synchronize the audio signal with the user's real-time heart rate variability (HRV) rhythm, suppressing auditory fatigue; personalized customization is achieved by combining birth spatiotemporal parameters, reducing the perceptual load on the auditory system, thereby extending the tolerance time for continuous listening.

[0022] Obviously, based on the above description of the present invention, and according to common technical knowledge and conventional methods in the field, various other modifications, substitutions or alterations can be made without departing from the basic technical concept of the present invention.

[0023] The following detailed embodiments further illustrate the above-described content of the present invention. However, this should not be construed as limiting the scope of the present invention to the following examples. All technologies implemented based on the above-described content of the present invention fall within the scope of the present invention. Attached Figure Description

[0024] Figure 1 This is a flowchart of the functional modules of the personalized acoustic intervention and control system. Detailed Implementation

[0025] It should be noted that the algorithms for data acquisition, transmission, storage and processing steps not specifically described in the embodiments, as well as the hardware structures and circuit connections not specifically described, can all be implemented using content already disclosed in the prior art.

[0026] Example 1: A Personalized Acoustic Intervention and Control System The input module is configured to accept user birth spatiotemporal parameters and real-time EEG and heart rate data. The calculation module is configured to calculate the user's initial rhythm baseline score and initial score vector based on the user's birth spatiotemporal parameters, obtain the user's innate heart rate variability baseline value based on the user's initial rhythm baseline score, and calculate the EEG frequency band power spectrum and heart rate frequency band power spectrum based on the real-time input EEG and heart rate data. The adjustment module is configured to obtain output weights based on the user's innate heart rate variability baseline value, initial score vector, EEG power spectrum and heart rate power spectrum obtained by the calculation module. The modulation module is configured to use Fractal signals are combined with output weight modulation to generate synthetic waveforms; The output module is configured to output a synthesized waveform.

[0027] A flowchart of the functional modules of a regulatory system based on innate spatiotemporal and biological feedback is shown below. Figure 1 As shown, the system's closed-loop module enables adjustments based on the user's real-time physiological condition.

[0028] Example 2: A Personalized Acoustic Intervention and Control Method A personalized acoustic intervention and control method includes the following steps: Step 1: Input the user's birth time-space parameters; Step 2: Calculate the user's initial rhythm baseline score and initial score vector based on the user's birth spatiotemporal parameters, and obtain the user's innate heart rate variability baseline value based on the user's initial rhythm baseline score; Step 3: Input real-time EEG and heart rate data; Step 4: Calculate the power spectrum of the EEG band and the power spectrum of the heart rate band based on the real-time input EEG and heart rate data; Step 5: Obtain the output weights based on the user's innate heart rate variability baseline value, initial score vector, EEG frequency band power spectrum, and heart rate frequency band power spectrum obtained from the calculation module; Step Six: Adopt Fractal signals are combined with output weight modulation to generate synthetic waveforms; Step 7: Output the synthesized waveform.

[0029] Based on the system in Example 1, the resulting personalized acoustic intervention and control method is as follows: Step 1: Input the user's birth time and space parameters.

[0030] The system collects the user's birth spatiotemporal parameters and maps them to a Traditional Chinese Medicine (TCM) Five Elements feature vector. This vector is then mapped to a pre-defined geophysical energy distribution model to calculate the user's intrinsic initial rhythm baseline score (NPS). This vector is set as the initial energy distribution weight of the five musical notes (Gong, Shang, Jiao, Zhi, Yu). Based on the TCM theory of "Five-Tone Therapy," these notes are transformed into five signal packets with specific physical envelope characteristics. Each signal packet is then used... Power-law distribution and golden ratio theta waves are used for coherent frequency modulation. The specific characteristics of the five musical note types and their corresponding five elements are as follows: The angle corresponds to wood, the digital mapping reference frequency is 384Hz, the fractal signal modulation envelope is upward climbing type, highly coherent, and manifests as downregulation of neural retardation and mood depression; The symbol corresponds to fire, with a digital mapping reference frequency of 432Hz to 480Hz. The fractal signal modulation envelope is a pulse harmonic, with high energy concentration, manifesting as insufficient cyclical power and social withdrawal. The palace corresponds to earth, with a digital mapping reference frequency of 256Hz to 320Hz. The fractal signal modulation envelope is a broadband steady-state distribution with low fluctuations, which manifests as the inhibition of excessive thinking and rumination. The quotient corresponds to gold, the digital mapping reference frequency is 400Hz, and the fractal signal modulation envelope is exponentially rapidly decaying, which manifests as the relief of nerve excitation and excessive stress. Feathers correspond to water, with digital mapping reference frequencies of 40Hz and 128Hz. The fractal signal modulation envelope is a deep low-frequency modulation type with high penetration, which manifests as deep sleep induction and anxiety repair.

[0031] Parameters such as EEG (electroencephalography) and HRV (heart rate variability) are collected in real time through hardware terminals.

[0032] Step 2: Calculate the user's initial rhythm baseline score.

[0033] The user's initial rhythm baseline score is calculated based on the spatiotemporal parameters of the user's birth entered by the user.

[0034] Set the initial rhythm baseline score as The initial rating vector is The details are as follows: in, , The coefficient of the Five Elements corresponding to the Heavenly Stem and Earthly Branch of the birth year, with a value of 1-5; M The six qi prosperity coefficients corresponding to the birth month are parameterized and mapped according to the six qi cycles corresponding to the lunar months. Each two months are divided into a cycle group and assigned rhythm weight values ​​of 1-6 respectively. DThe decimal value of the Heavenly Stem and Earthly Branch of the birth date, ranging from 1 to 60; H The coefficient of Qi and Blood Flow corresponding to the birth time is set as follows: 1 for 11:00-1:00, 2 for 1:00-3:00, and so on down to 12 for 21:00-23:00. , , , The preset weighting coefficients satisfy: + + + =1; The formula is: (This refers to the correction factor for birth latitude and longitude.) =0.9+|Lat+Lon| / 1000, with a value ranging from 0.9 to 1.2, where Lat is the latitude of the birthplace and Lon is the longitude of the birthplace.

[0035] in, The reference frequency weights for the five tones: "Gong, Shang, Jiao, Zhi, Yu"; The coefficient of energy derived from the sexagenary cycle is taken as 0.9-1.1; The constants for sea pressure and hour angle based on the latitude and longitude of the birthplace are taken as -0.1 to 0.1. Used to represent the dynamic energy correction coefficient obtained based on the sexagenary cycle time conversion, its function is to weight the five-tone reference frequency. The fine-tuned gain, rather than the normalized probability weights. =1 indicates the standard state. <1 indicates moderate suppression of the corresponding frequency band. >1 indicates that the corresponding frequency band is moderately enhanced.

[0036] Step 3: Collect real-time EEG and heart rate data.

[0037] EEG (electroencephalography) data is collected in real time via a hardware terminal, and heart rate data is collected via a PPG sensor. Physiological data can be collected using EEG acquisition electrodes, EEG dry electrodes, PPG sensors, flexible PPG inductive electrocoagulation membrane arrays, etc.

[0038] Step 4: Calculate the power spectrum of the EEG band and the power spectrum of the heart rate band based on the real-time input EEG and heart rate data.

[0039] The collected EEG and heart rate data are processed using a preset method (such as FFT) to obtain the corresponding power spectrum.

[0040] Step 5: Calculate the output weights based on the user's innate heart rate variability baseline value, initial score vector, EEG frequency band power spectrum, and heart rate frequency band power spectrum obtained from the calculation module.

[0041] This system is a negative feedback regulation system that incorporates the logic of mutual generation and restraint compensation.

[0042] Introducing the transformation matrix Finally, the output weights are obtained. : ; in, The formula for the real-time correction gain is as follows: in, For real-time acquisition of heart rate signals, The personalized correction factor is set between 0.8 and 1.2. The time window length is set to 60 seconds by default. Based on the initial rhythm baseline score The converted baseline value of the user's innate heart rate variability is used for subsequent real-time physiological deviation calculations. The calculation formula is as follows: in, The standard resting heart rate variability reference value is obtained by collecting data during resting time. HRV Indicator acquisition; This is a preset personalized gain factor.

[0043] When detected Below Furthermore, when the proportion of high-frequency EEG power increases, the system determines that the user is in a state of high wakefulness or anxiety. At this time, the adjustment matrix... Automatically perform frequency band gain reallocation operation: (1) Reduce the output gain of the zhi tone (fire attribute frequency band): Azhi(t) = Azhi(t-1) × (1-k); (2) Simultaneously increase the output gain of the Yu tone (water attribute frequency band): Ayu(t)=Ayu(t-1)×(1+k) Where Azhi is the amplitude weight of the frequency band corresponding to the zhi tone, Ayu is the amplitude weight of the frequency band corresponding to the yu tone, and k is the dynamic adjustment coefficient, with a value range of 0-1. The adjusted frequency band weights are then applied to: And further affect the final output intervention waveform: This forms a closed-loop dynamic regulation process based on real-time physiological feedback.

[0044] Step Six: Adopt Fractal signals are combined with output weight modulation to generate synthetic waveforms.

[0045] The system will eventually output the weights. and Fractal signal modulation, with a carrier frequency of 432Hz as the reference and a functional pulse with an envelope of 40Hz.

[0046] (a) Output intervention signal: Output intervention signal Defined as: in, This is the amplitude coefficient of the audio signal, with a value ranging from 0 to 1. ; = Wi / (W1+W2+W3+W4+W5), i=1, 2, 3, 4, 5; =[W1,W2,W3,W4,W5]; Carrier characteristics =432Hz; It follows the power spectral density of fractal signal modulation function, where =1; This is a personalized phase offset, derived from the normalized mapping of the user's birth year, month, day, and hour of birth. It ranges from 0 to 2π and is used to control the personalized phase offset of different five-tone signal packets in the synthesized waveform. The calculation formula is as follows: = 2π ( ) / (5+6+60+12) (ii) Envelope superposition: The synthesized waveform is obtained by superimposing the interference signal with the pulse envelope of the 40Hz Gamma band; the synthesized waveform is shown below: in, The 40Hz Gamma modulation intensity, with a value ranging from 0 to 1; The carrier-to-envelope frequency ratio satisfies: in, The carrier frequency is 432Hz. The envelope frequency is 40Hz. =1.618, which is the golden ratio.

[0047] Step 7: Output the synthesized waveform.

[0048] After receiving the synthesized waveform, the user adjusts themselves, and the system collects the adjusted physiological data for real-time dynamic adjustment.

Claims

1. A personalized acoustic intervention and control system, characterized in that, Includes the following modules: The input module is configured to accept user birth spatiotemporal parameters and real-time EEG and heart rate data. The calculation module is configured to calculate the user's initial rhythm baseline score and initial score vector based on the user's birth spatiotemporal parameters, obtain the user's innate heart rate variability baseline value based on the user's initial rhythm baseline score, and calculate the EEG frequency band power spectrum and heart rate frequency band power spectrum based on the real-time input EEG and heart rate data. The adjustment module is configured to obtain output weights based on the user's innate heart rate variability baseline value, initial score vector, EEG power spectrum and heart rate power spectrum obtained by the calculation module. The modulation module is configured to use Fractal signals are combined with output weight modulation to generate synthetic waveforms; The output module is configured to output a synthesized waveform.

2. The personalized acoustic intervention and control system according to claim 1, characterized in that, The mathematical expressions for calculating the user's initial rhythm baseline score and initial score vector are as follows: Set the initial rhythm baseline score as The initial rating vector is The details are as follows: in, , The coefficient of the Five Elements corresponding to the Heavenly Stem and Earthly Branch of the birth year, with a value of 1-5; M The six qi prosperity coefficients corresponding to the birth month are parameterized and mapped according to the six qi cycles corresponding to the lunar months. Each two months are divided into a cycle group and assigned rhythm weight values ​​of 1-6 respectively. D The decimal value of the Heavenly Stem and Earthly Branch of the birth date, ranging from 1 to 60; H The coefficient of Qi and Blood Flow corresponding to the birth time is set as follows: 1 for 11:00-1:00, 2 for 1:00-3:00, and so on down to 12 for 21:00-23:

00. , , , The preset weighting coefficients satisfy: + + + =1; The formula is: (This refers to the correction factor for birth latitude and longitude.) =0.9+|Lat+Lon| / 1000, with a value ranging from 0.9 to 1.2, where Lat is the latitude of the birthplace and Lon is the longitude of the birthplace; in, The reference frequency weights for the five tones: "Gong, Shang, Jiao, Zhi, Yu"; The coefficient of energy derived from the sexagenary cycle is taken as 0.9-1.1; The constants for sea pressure and hour angle based on the latitude and longitude of the birthplace are taken as -0.1 to 0.

1.

3. The personalized acoustic intervention and control system according to claim 2, characterized in that, The adjustment module is a system that incorporates a mutual generation and restraint compensation logic, including: Introducing the transformation matrix Finally, the output weights are obtained. : ； in, The formula for the real-time correction gain is as follows: in, For real-time acquisition of heart rate signals, The personalized correction factor is set between 0.8 and 1.

2. The time window length is set to 60 seconds by default. Initial rhythm baseline score The converted baseline value for the user's innate heart rate variability is calculated using the following formula: in, The standard resting heart rate variability reference value is obtained by collecting data during resting time. HRV Indicators obtained; This is a preset personalized gain factor.

4. The personalized acoustic intervention and control system according to claim 3, characterized in that, The generation of the synthesized waveform includes the following steps: (a) Output intervention signal: Output intervention signal Defined as: in, This is the amplitude coefficient of the audio signal, with a value ranging from 0 to 1. ; = Wi / (W1+W2+W3+W4+W5), i=1, 2, 3, 4, 5; =[W1,W2,W3,W4,W5]; Carrier characteristics =432Hz; It follows the power spectral density of fractal signal modulation function, where =1; It is a personalized phase offset, derived from the normalized mapping of the spatiotemporal parameters of the user's birth year, month, day, and hour, with a value ranging from 0 to 2π. The calculation formula is as follows: = 2π ( ) / (5+6+60+12) (ii) Envelope superposition: The synthesized waveform is obtained by superimposing the interference signal with the pulse envelope of the 40Hz Gamma band; the synthesized waveform is shown below: in, The 40Hz Gamma modulation intensity, with a value ranging from 0 to 1; The carrier-to-envelope frequency ratio satisfies: in, The carrier frequency is 432Hz. The envelope frequency is 40Hz. =1.618, which is the golden ratio.

5. The personalized acoustic intervention and control system according to claim 3, characterized in that, When detected When the index is too low, indicating anxiety / excessive internal heat, the matrix... It will automatically perform the "water overcomes fire" operation: it will reduce the amplitude gain of the fire attribute zheng audio band in real time and increase the amplitude gain of the water attribute yu audio band proportionally until the physiological indicators return to the baseline range.

6. The personalized acoustic intervention and control system according to claim 1, characterized in that, The user's birth spatiotemporal parameters are mapped to a traditional Chinese medicine five-element feature vector; The feature vector is set as the initial energy distribution weight of Gong, Shang, Jiao, Zhi, and Yu. Based on the theory of "five-tone therapy" in traditional Chinese medicine, "Gong, Shang, Jiao, Zhi, and Yu" are transformed into five signal packets with specific physical envelope characteristics.

7. The personalized acoustic intervention and control system according to claim 6, characterized in that, The five tones correspond to the five elements, each pointing to its own fractal signal modulation envelope, and each having its own clinical intervention target, including: The angle corresponds to wood, the digital mapping reference frequency is 384Hz, the fractal signal modulation envelope is upward climbing type, highly coherent, and manifests as downregulation of neural retardation and mood depression; The symbol corresponds to fire, with a digital mapping reference frequency of 432Hz to 480Hz. The fractal signal modulation envelope is a pulse harmonic, with high energy concentration, manifesting as insufficient cyclical power and social withdrawal. The palace corresponds to earth, with a digital mapping reference frequency of 256Hz to 320Hz. The fractal signal modulation envelope is a broadband steady-state distribution with low fluctuations, which manifests as the inhibition of excessive thinking and rumination. The quotient corresponds to gold, the digital mapping reference frequency is 400Hz, and the fractal signal modulation envelope is exponentially rapidly decaying, which manifests as the relief of nerve excitation and excessive stress. Feathers correspond to water, with digital mapping reference frequencies of 40Hz and 128Hz. The fractal signal modulation envelope is a deep low-frequency modulation type with high penetration, which manifests as deep sleep induction and anxiety repair.

8. A personalized acoustic intervention and control method, characterized in that, The system implementation based on any one of claims 1-7 includes the following steps: Step 1: Input the user's birth time-space parameters; Step 2: Calculate the user's initial rhythm baseline score and initial score vector based on the user's birth spatiotemporal parameters, and obtain the user's innate heart rate variability baseline value based on the user's initial rhythm baseline score; Step 3: Input real-time EEG and heart rate data; Step 4: Calculate the power spectrum of the EEG band and the power spectrum of the heart rate band based on the real-time input EEG and heart rate data; Step 5: Obtain the output weights based on the user's innate heart rate variability baseline value, initial score vector, EEG frequency band power spectrum, and heart rate frequency band power spectrum obtained from the calculation module; Step Six: Adopt Fractal signals are combined with output weight modulation to generate synthetic waveforms; Step 7: Output the synthesized waveform.

9. A computer-readable storage medium, characterized in that: It stores a computer program for implementing the method of claim 8.

10. An electronic device comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, characterized in that, When the processor executes the program, it implements the method as described in claim 8.

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