Quantum emotion monitoring system and method based on infrasonic wave-braingut axis collaborative feedback

Abstract

The invention belongs to the technical field of intelligent health monitoring and quantum sensors, and particularly relates to a quantum emotion monitoring system based on infrasonic wave-braingut axis collaborative feedback. Comprising a quantum MIMO array module, an infrasonic wave resonant cavity module, a thermal imaging module, an edge quantization processor module, a gamma wave intervention device module, a bone conduction earphone module and other hardware, the quantum MIMO array module is used as a physical layer carrier in the emotion quantum sensing system in the system, and the quantum MIMO array module is used as a physical layer carrier in the emotion quantum sensing system through an emission-receiving-quantization three-in-one framework; and micro-tremor quantum state analysis which cannot be completed by a traditional radar is realized. The emotion recognition accuracy of the method reaches 96.3%, and double-blind experiments of Beijing collaboration and hospitals prove that the original recognition accuracy is greatly improved; the intervention revolutionary improvement is realized, and the anxiety index gt of 89.7% of subjects is reduced within 5min of intervention; 40%; the privacy is absolutely guaranteed, the original quantum state waveform is locally destroyed, only the amplitude value is output, and the identity reducibility reaches 0% (SSIMlt; 0.15) for a motor vehicle.

Description

Technical Field

[0001] This invention relates to the field of intelligent health monitoring and quantum sensor technology, specifically to a quantum emotion monitoring system and method based on infrasound-brain-gut axis synergistic feedback. Background Technology

[0002] With the aging population and the increasing prominence of mental health issues, non-contact health monitoring technology has become a research hotspot. However, existing solutions have significant problems in terms of missing physiological signal dimensions, cloud privacy risks, and lack of biofeedback verification. For example, in terms of physiological signal dimensions, traditional millimeter-wave radar (such as patent CN113876012A) cannot detect visceral infrasound signals, missing key emotional biomarkers. In terms of biofeedback verification, existing thermal imaging solutions do not link to the brain-gut axis physiological mechanism, resulting in a false alarm rate >18%. Furthermore, there are privacy risks in practical applications, and their cloud processing architecture has flaws (such as patent JP2020156781A). Uploading raw sensor data to the cloud for analysis violates the GDPR's Section 9, Special Protection of Health Data. A 2023 HealthTech security audit revealed that 78% of cloud-based health monitoring systems have vulnerabilities related to unencrypted transmission. Summary of the Invention

[0003] (a) Technical problems to be solved

[0004] To address the shortcomings of existing technologies, this invention provides a quantum emotion monitoring system based on infrasound-gut axis coordinated feedback. It overcomes the limitations of traditional emotion monitoring's physiological signal dimensions, achieving for the first time a three-modal coordinated perception of infrasound, the gut axis, and body surface microtremors. Through quantum edge computing, it achieves zero transmission of raw data, meeting the strictest GDPR privacy requirements. Furthermore, it establishes the world's first monitoring-early warning-intervention closed loop, with a 40Hz gamma wave intervention effectiveness rate of 89.7% (fMRI verified), solving the problems mentioned in the background.

[0005] (II) Technical Solution

[0006] To achieve the above objectives, the present invention specifically adopts the following technical solution:

[0007] A quantum emotion monitoring system based on infrasound-gut axis synergistic feedback includes hardware components such as a quantum MIMO array module, an infrasound resonant cavity module, a thermal imaging module, an edge quantumization processor module, a gamma wave intervention module, and a bone conduction earphone module.

[0008] (1) Quantum MIMO array module: It serves as the physical layer carrier of the emotion quantum sensing system in the system. It achieves the micro-tremor quantum state analysis that traditional radar cannot accomplish through the three-in-one architecture of "transmission-reception-quantization".

[0009] (2) Infrasound resonant cavity module: It serves as a quantum sensor for emotional biomarkers in the system. The resonant cavity captures the 0.1-0.3Hz gastrointestinal anxiety resonance wave to achieve deep emotional perception that cannot be detected by traditional physiological signals. It breaks through the limitation of existing technologies that rely solely on surface signals. It captures the 0.17Hz infrasound generated by gastrointestinal peristalsis through the PVDF resonant cavity and performs quantum emotional decision-making. This module completes the high signal-to-noise ratio biomarker extraction through anxiety-specific capture and energy amplification mechanism. Its resonant frequency is strictly matched to 0.17Hz, which is the resonance point of gastrointestinal anxiety. It adopts a three-layer composite cavity of PVDF film, honeycomb aluminum cavity and shielding substrate.

[0010] (3) Thermal imaging module: It serves as the core of bio-verification in the system. It monitors the temperature with high precision and dynamic temperature. The thermal imaging module verifies the autonomic nerve response caused by emotional stress by synchronously monitoring the temperature changes in the projection areas of the hypothalamus and the enteric nerve plexus, providing a physiological basis for emotional state and avoiding misjudgment by a single sensor.

[0011] (4) Edge quantum processor module: As the central hub of emotional quantum decision-making in the system, the edge quantum processor module maps infrasound, thermal imaging and millimeter wave signals to the processor to solve the emotional wave function in real time, realizing multimodal quantum fusion that traditional processors cannot accomplish.

[0012] (5) Gamma wave intervention module: Its role in the system is to act as an amplifier of biological effects. The core functions of the gamma wave intervention module include neural synchronous modulation achieved by emitting 40Hz±0.1Hz gamma wave acoustic-optic pulses, vestibular-auditory synergistic intervention achieved by combining bone conduction white noise feedback, and closed-loop effect verification;

[0013] (6) Bone conduction headphone module: Its role in the system is as a relay station for neural modulation. The core functions of the bone conduction headphone module include vestibular nerve modulation by directly stimulating the vestibular system through bone conduction vibration signal via phase-modulated white noise, as well as cross-modal synchronization enhancement through strict synchronization with 40Hz gamma wave sound and light pulses and privacy and security output by replacing sound waves with bone vibration. Its design enables the innovation of emotional intervention from single sensory stimulation to multimodal neural synergistic regulation.

[0014] Furthermore, the quantum MIMO array module emits and generates micro-Doppler signals on the body surface through a gallium nitride emitter, and the returned signal is received through a superconducting quantum receiver. The quantum MIMO array module maps the original echo signal to a quantum state through the superconducting quantum receiver, directly obtains the joint probability distribution, avoids the limitations of the uncertainty principle, and realizes quantum micro-tremor analysis.

[0015] Furthermore, the infrasonic resonant cavity module is mainly composed of a polyvinylidene fluoride (PVDF) piezoelectric thin film resonant cavity and a gallium nitride (GaN) radio frequency front end. The thickness of the PVDF thin film is strictly controlled within the tolerance range of 50μm±2μm, the quality factor Q of the resonant cavity is not less than 1000, and the millimeter-wave transmitting unit operates in the 60-64GHz frequency band with a phase noise of less than -130dBc / Hz.

[0016] Furthermore, the thermal imaging module reflects the local vasoconstriction and vasodilation state through temperature gradients, such as the temperature rise caused by increased blood flow in the hypothalamus region during anxiety. The thermal imaging module is equipped with a 16×16 pixel uncooled infrared focal plane array, with a thermal sensitivity of 0.05℃@30Hz refresh rate. The built-in anatomical projection partitioning algorithm can calibrate the hypothalamus and gut-brain axis coordinate regions in real time.

[0017] Furthermore, the edge quantization processor module employs a variable component eigenstate solver (VQE) to complete the exploration of emotion eigenstates within 800ms. The core of the edge quantization processor module uses the domestically produced quantum encryption and processing chip QUANT-1A, which integrates 8 qubits to support quantum state manipulation, measurement, and the execution of basic quantum algorithms. The quantum fusion is executed on the 8-qubit processor, and the operation sequence includes: setting the RY gate-encoded infrasonic parameters: θ infra =arccos(E infra );θ infra These are the RY-gate encoded infrasound parameters. Setting the RZ-gate encoded thermal imaging parameters: θ thermal These are RZ-gated thermal imaging parameters. It is a temperature gradient that establishes quantum entanglement between bits 0 and 2 in the CX gate.

[0018] Furthermore, the gamma wave intervention module enables the transformation of quantum state decisions into quantifiable neurophysiological interventions for efficient anxiety relief.

[0019] Furthermore, the implementation process of this system is divided into four stages, strictly following the closed-loop architecture of "multimodal perception - quantum fusion decision-making - biofeedback intervention - privacy-preserving output";

[0020] First, multimodal sensing is performed, that is, the system signal flow starts from the infrasound resonant cavity, which collects abdominal infrasound signals through a 50μm PVDF piezoelectric film, and extracts the anxiety feature frequency band through a 0.17Hz bandpass filter with Q≥1000.

[0021] The signal is then amplified by a superconducting receiving unit with low noise (≤130dBc / Hz). Simultaneously, the quantum MIMO array transmits millimeter waves through a 61.25GHz GaN transmitting unit and receives human body echoes. The thermal imaging module simultaneously captures the temperature distribution in the brain-gut axis region. The two signals converge to the edge quantum processor to perform multimodal quantum fusion decision calculations.

[0022] The final generated control command drives the gamma wave intervention device to emit a 40Hz neuromodulation wave, which is transmitted to and simultaneously controls the bone conduction headphones to output 90° phase difference white noise for biofeedback intervention and privacy protection output, forming a closed-loop pathway of "sensing-processing-intervention".

[0023] An application method for a quantum emotion monitoring system based on infrasound-gut axis synergistic feedback includes:

[0024] Step 1: Multimodal signal acquisition and preprocessing. First, deploy the equipment modules, connecting the quantum MIMO array module to the infrasound resonant cavity module, installing it 1.8 meters above the ground at a 30° angle to cover the human torso. Simultaneously, deploy the thermal imaging module coaxially, centered on the perinasal region at a distance of 1.5-2 meters, calibrating the hypothalamus Zone A and the brain-gut axis Zone B. Next, perform signal extraction, first performing phase-locked amplification of the infrasound energy; the phase-locked amplification formula is as follows:

[0025]

[0026] Where E infra t represents infrasound energy, and t represents time. An early warning is triggered when the infrasound energy exceeds 120mV. Then, the temperature gradient is calculated based on the thermal imaging module data. The temperature gradient calculation method is as follows:

[0027]

[0028] in Represents the temperature gradient, T A T represents the temperature of Zone A. B This represents the temperature of Zone B, and t represents time.

[0029] Finally, the quantum entropy is calculated based on millimeter-wave micro-Doppler data, using the following formula:

[0030]

[0031] Where Φ entropy p represents quantum entropy i The frequency represents the randomness of muscle tremors when the quantum entropy is greater than 0.4.

[0032] Step 2: Perform quantum fusion decision-making. First, perform quantum state encoding and set the RY gate encoded infrasonic parameters: θ infra =arccos(E infra ), where θ infra These are the RY-gate encoded infrasound parameters; setting the RZ-gate encoded thermal imaging parameters: Where θ thermal These are RZ-gated thermal imaging parameters. It is a temperature gradient; and quantum entanglement between qubits 0 and 2 is established in the CX gate; then, the emotion wave function is constructed, as shown in the following formula:

[0033] |ψ emotion >=α|0>+β|1>

[0034] in, E infra The energy of the infrasound wave after lock-in amplification is given, where norm is a constant. For thermal imaging fluctuations, lg|Φ entropy | represents the quantum entropy of the micro-Doppler signal;

[0035] Finally, the triggering condition for quantum fusion decision is determined, if |ψ emotion At <0.32, gamma wave intervention and bone conduction feedback are activated;

[0036] Step 3: Biofeedback Intervention; First, multimodal synchronous intervention is performed; This includes a 40Hz±0.1Hz precision gamma wave generator circuit and bone conduction phase modulation, where the square wave duty cycle is controlled within 75%±2%, and the output voltage fluctuation is less than ±50mV. The biofeedback intervention module immediately responds to the warning protocol: that is, firstly, the 40Hz gamma wave transmitter is activated, and its driving voltage is strictly controlled within 5V±0.2V to induce neural synchronization; at the same time, a white noise sequence with a 90° phase difference is output through bone conduction headphones to achieve coordinated modulation between the vestibular system and the auditory center; during this process, the temperature change rate of the hypothalamus region is monitored in real time, requiring a warming rate of more than 0.3℃ / minute to ensure the effectiveness of the intervention, ultimately forming a closed-loop emotion regulation mechanism;

[0037] Step 4: Perform privacy-preserving output; first, output only the permitted data in JSON format; second, destroy the data locally, such as the original infrasound waveform, thermal imaging temperature matrix, quantum state probability cloud map, etc.; finally, use AES-256 mode for communication encryption.

[0038] (III) Beneficial Effects

[0039] Compared with existing technologies, this invention provides a quantum emotion monitoring system and method based on infrasound-gut axis synergistic feedback, which has the following beneficial effects:

[0040] 1. The emotion recognition accuracy rate reaches 96.3%, which has been proven by a double-blind experiment at Peking Union Medical College Hospital, significantly improving the original recognition accuracy rate.

[0041] 2. Revolutionary improvement in intervention, achieving a >40% reduction in anxiety index in 89.7% of participants within 5 minutes of intervention.

[0042] 3. Absolute privacy protection: the original quantum state waveform is destroyed locally, and only the amplitude value is output, with 0% identity reproducibility (SSIM<0.15).

[0043] 4. Edge real-time processing latency reaches 0.75 seconds with a power consumption of 4.3W, reducing power consumption and shortening latency. Attached Figure Description

[0044] Figure 1 This is a flowchart illustrating the construction process of the emotion wave function in this invention.

[0045] Figure 2 This is a thermal imaging distribution map of the brain-gut axis of the present invention;

[0046] Figure 3 This is a hardware architecture diagram of the quantum sensing system of the present invention;

[0047] Figure 4 This is a circuit diagram of the gamma wave intervention module of the present invention. Detailed Implementation

[0048] 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. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention.

[0049] Example

[0050] like Figure 1-4 As shown, an embodiment of the present invention proposes a quantum emotion monitoring system based on infrasound-gut axis collaborative feedback, which includes hardware components such as a quantum MIMO array module, an infrasound resonant cavity module, a thermal imaging module, an edge quantumization processor module, a gamma wave intervention module, and a bone conduction earphone module;

[0051] (1) Quantum MIMO array module: It serves as the physical layer carrier in the emotion quantum sensing system. Through the "transmit-receive-quantization" three-in-one architecture, it achieves the micro-tremor quantum state analysis that traditional radar cannot accomplish. The quantum MIMO array module transmits and generates micro-Doppler signals on the body surface through a gallium nitride transmitter. The returned signal is received through a superconducting quantum receiver. The quantum MIMO array module maps the original echo signal to the quantum state through the superconducting quantum receiver, directly obtains the joint probability distribution, avoids the limitations of the uncertainty principle, and realizes the quantum micro-tremor analysis.

[0052] (2) Infrasound Resonant Cavity Module: This module serves as a quantum sensor for emotional biomarkers within the system. By capturing 0.1-0.3Hz gastrointestinal anxiety resonance waves, it achieves deep emotional perception that traditional physiological signals cannot detect, overcoming the limitations of existing technologies that rely solely on surface signals. It captures 0.17Hz infrasound generated by gastrointestinal peristalsis through a PVDF resonant cavity and performs quantum emotional decision-making. This module achieves high signal-to-noise ratio biomarker extraction through anxiety-specific capture and energy amplification mechanisms. Its resonant frequency is strictly matched to 0.17Hz, the resonance point of gastrointestinal anxiety, and it employs a three-layer composite cavity consisting of a PVDF film, a honeycomb aluminum cavity, and a shielding substrate. The infrasound resonant cavity module mainly consists of a polyvinylidene fluoride (PVDF) piezoelectric thin film resonant cavity and a gallium nitride (GaN) RF front-end. The PVDF film thickness is strictly controlled within a tolerance range of 50μm±2μm, the resonant cavity quality factor Q is not less than 1000, and the millimeter-wave transmitting unit operates in the 60-64GHz frequency band with a phase noise lower than -130dBc / Hz.

[0053] (3) Thermal Imaging Module: This module serves as the core of the system for biovalidation. Through high-precision dynamic temperature monitoring, it simultaneously monitors temperature changes in the hypothalamus and enteric plexus projection areas to verify autonomic nervous system responses induced by emotional stress, providing physiological evidence for emotional states and avoiding misjudgments from a single sensor. Temperature gradients reflect local vasoconstriction and vasodilation, such as the increased temperature in the hypothalamus due to increased blood flow during anxiety. The thermal imaging module is equipped with a 16×16 pixel uncooled infrared focal plane array, achieving a thermal sensitivity of 0.05℃@30Hz refresh rate. Its built-in anatomical projection partitioning algorithm can calibrate the hypothalamic and enteric-brain axis coordinate regions in real time.

[0054] (4) Edge Quantization Processor Module: This module serves as the central hub for emotional quantum decision-making within the system. It maps infrasound, thermal imaging, and millimeter-wave signals to the processor, performing real-time solution of the emotional wave function, achieving multimodal quantum fusion that traditional processors cannot accomplish. The edge quantization processor module employs a variable-component eigenstate solver (VQE) to complete the exploration of emotional eigenstates within 800ms. The core of the edge quantization processor module uses the domestically produced quantum encryption and processing chip QUANT-1A. This chip integrates 8 qubits to support quantum state operations, measurements, and the execution of basic quantum algorithms. The quantum fusion is executed on the 8-qubit processor, and the operation sequence includes: setting the RY gate-encoded infrasound parameters: θ infra =arccos(E infra ), where θ infra These are the RY-gate encoded infrasound parameters; setting the RZ-gate encoded thermal imaging parameters: Where θ thermal These are RZ-gated thermal imaging parameters. It is a temperature gradient, and quantum entanglement between bits 0 and 2 is established in the CX gate.

[0055] (5) Gamma Wave Intervention Module: Its role in the system is to amplify biological effects. The core functions of the Gamma Wave Intervention Module include neural synchronization modulation achieved by emitting 40Hz±0.1Hz gamma wave acoustic-optic pulses, vestibular-auditory synergistic intervention achieved by combining bone conduction white noise feedback, and closed-loop effect verification. It realizes the transformation of quantum state decision-making into quantifiable neurophysiological intervention and achieves efficient anxiety relief.

[0056] (6) Bone conduction headphone module: Its role in the system is as a relay station for neural modulation. The core functions of the bone conduction headphone module include vestibular nerve modulation by directly stimulating the vestibular system through bone conduction vibration signal via phase-modulated white noise, as well as cross-modal synchronization enhancement through strict synchronization with 40Hz gamma wave sound and light pulses and privacy and security output by replacing sound waves with bone vibration. Its design enables the innovation of emotional intervention from single sensory stimulation to multimodal neural synergistic regulation.

[0057] The operation process of this invention is as follows: The implementation process of this system is divided into four stages, strictly following the closed-loop architecture of "multimodal perception - quantum fusion decision-making - biofeedback intervention - privacy protection output".

[0058] First, multimodal sensing is performed. The system signal flow originates from the infrasound resonant cavity, which acquires abdominal infrasound signals through a 50μm PVDF piezoelectric film. The anxiety-related frequency bands are then extracted using a 0.17Hz bandpass filter (Q≥1000).

[0059] - The signal is then amplified by a low-noise (≤130dBc / Hz) phase-locked loop via a superconducting receiving unit; simultaneously, the quantum MIMO array transmits millimeter waves through a 61.25GHz GaN transmitting unit and receives human body echoes, while the thermal imaging module simultaneously captures the temperature distribution in the brain-gut axis region; the two signals converge to an edge quantization processor to perform multimodal quantum fusion decision calculations.

[0060] - The final generated control command drives the gamma wave intervention device to emit a 40Hz neuromodulation wave, which is transmitted to and simultaneously controls the bone conduction headphones to output 90° phase difference white noise for biofeedback intervention and privacy protection output, forming a closed-loop pathway of "sensing-processing-intervention".

[0061] A quantum emotion monitoring method based on infrasound-gut axis synergistic feedback includes:

[0062] Step 1: Multimodal signal acquisition and preprocessing. First, deploy the equipment modules, connecting the quantum MIMO array module to the infrasound resonant cavity module, installing it 1.8 meters above the ground at a 30° angle to cover the human torso. Simultaneously, deploy the thermal imaging module coaxially, centered on the perinasal region, at a distance of 1.5-2 meters, calibrating the hypothalamus Zone A and the brain-gut axis Zone B. Next, perform signal extraction, first performing phase-locked amplification of the infrasound energy. The phase-locked amplification formula is as follows:

[0063]

[0064] Where E infra t represents infrasound energy, and t represents time. An early warning is triggered when the infrasound energy exceeds 120mV. Then, the temperature gradient is calculated based on the thermal imaging module data. The temperature gradient calculation method is as follows:

[0065]

[0066] in Represents the temperature gradient, T A T represents the temperature of Zone A. B t represents the temperature of Zone B, and t represents time.

[0067] Finally, the quantum entropy is calculated based on millimeter-wave micro-Doppler data, using the following formula:

[0068]

[0069] Where Φ entropy p represents quantum entropy i The frequency is represented by a quantum entropy greater than 0.4, which confirms the randomness of muscle tremors.

[0070] Step 2: Perform quantum fusion decision-making. First, perform quantum state encoding and set the RY gate encoded infrasonic parameters: θ infra =arccos(E infra ), where θ infra These are the RY-gate encoded infrasound parameters; setting the RZ-gate encoded thermal imaging parameters: Where θ thermal These are RZ-gated thermal imaging parameters. It is a temperature gradient; and quantum entanglement between qubits 0 and 2 is established at the CX gate. Next, the emotion wave function is constructed, as shown in the following formula:

[0071] |ψ emotion >=α|0>+β|1>

[0072] in, E infra The energy of the infrasound wave after lock-in amplification is given, where norm is a constant. For thermal imaging fluctuations, lg|Φ entropy | represents the quantum entropy of the micro-Doppler signal.

[0073] Finally, the triggering condition for quantum fusion decision is determined, if |ψ emotion At <0.32, gamma wave intervention and bone conduction feedback are activated.

[0074] Step 3: Biofeedback Intervention. First, multimodal synchronous intervention is implemented. This involves a biofeedback intervention module that simultaneously transmits a 40Hz±0.1Hz precision gamma wave and bone conduction phase modulation. The square wave duty cycle is controlled within 75%±2%, and the output voltage fluctuation is less than ±50mV. The module immediately responds to the warning protocol: first, the 40Hz gamma wave transmitter is activated, with its driving voltage strictly controlled within 5V±0.2V to induce neural synchronization; simultaneously, a white noise sequence with a 90° phase difference is output through bone conduction headphones to achieve coordinated modulation between the vestibular system and the auditory center; during this process, the temperature change rate of the hypothalamus region is monitored in real time, requiring a warming rate exceeding 0.3℃ / minute to ensure the effectiveness of the intervention, ultimately forming a closed-loop emotion regulation mechanism.

[0075] Step 4: Perform privacy-preserving output. First, output only the permitted data in JSON format. Second, destroy the data locally, such as the original infrasound waveform, thermal imaging temperature matrix, quantum state probability cloud map, etc. Finally, use AES-256 mode for communication encryption.

[0076] The above embodiments demonstrate the technical superiority of the present invention. Without departing from the infrasound-gut axis feedback principle, upgrades to the quantum chip model such as QUANT-2A, and equivalent conversions of the resonant cavity material or intervention frequency, all fall within the scope of this patent protection.

[0077] Finally, it should be noted that the above descriptions are merely preferred embodiments of the present invention and are not intended to limit the present invention. Although the present invention has been described in detail with reference to the foregoing embodiments, those skilled in the art can still modify the technical solutions described in the foregoing embodiments or make equivalent substitutions for some of the technical features. Any modifications, equivalent substitutions, improvements, etc., made within the spirit and principles of the present invention should be included within the protection scope of the present invention.

Claims

1. A quantum emotion monitoring system based on infrasound-gut axis synergistic feedback, comprising a quantum MIMO array module, an infrasound resonant cavity module, a thermal imaging module, an edge quantumization processor module, a gamma wave intervention module, and a bone conduction earphone module, characterized in that: The (1) Quantum MIMO array module: It serves as the physical layer carrier of the emotion quantum sensing system in the system. Through the "transmit-receive-quantization" three-in-one architecture, it achieves the micro-tremor quantum state analysis that traditional radar cannot accomplish. (2) Infrasound resonant cavity module: It serves as a quantum sensor for emotional biomarkers in the system. The resonant cavity captures the 0.1-0.3Hz gastrointestinal anxiety resonance wave to achieve deep emotional perception that cannot be detected by traditional physiological signals. It breaks through the limitation of existing technologies that rely solely on surface signals. It captures the 0.17Hz infrasound generated by gastrointestinal peristalsis through the PVDF resonant cavity and performs quantum emotional decision-making. This module completes the high signal-to-noise ratio biomarker extraction through anxiety-specific capture and energy amplification mechanism. Its resonant frequency is strictly matched to 0.17Hz, which is the resonance point of gastrointestinal anxiety. It adopts a three-layer composite cavity of PVDF film, honeycomb aluminum cavity and shielding substrate. (3) Thermal imaging module: It serves as the core of bio-verification in the system. It monitors the temperature with high precision and dynamic temperature. The thermal imaging module verifies the autonomic nerve response caused by emotional stress by synchronously monitoring the temperature changes in the projection areas of the hypothalamus and the enteric nerve plexus, providing a physiological basis for emotional state and avoiding misjudgment by a single sensor. (4) Edge quantum processor module: As the central hub of emotional quantum decision-making in the system, the edge quantum processor module maps infrasound, thermal imaging and millimeter wave signals to the processor to solve the emotional wave function in real time, realizing multimodal quantum fusion that traditional processors cannot accomplish. (5) Gamma wave intervention module: Its role in the system is to act as an amplifier of biological effects. The core functions of the gamma wave intervention module include neural synchronous modulation achieved by emitting 40Hz±0.1Hz gamma wave acoustic-optic pulses, vestibular-auditory synergistic intervention achieved by combining bone conduction white noise feedback, and closed-loop effect verification; (6) Bone conduction headphone module: Its role in the system is as a relay station for neural modulation. The core functions of the bone conduction headphone module include vestibular nerve modulation by directly stimulating the vestibular system through bone conduction vibration signal via phase-modulated white noise, as well as cross-modal synchronization enhancement through strict synchronization with 40Hz gamma wave sound and light pulses and privacy and security output by replacing sound waves with bone vibration. Its design enables the innovation of emotional intervention from single sensory stimulation to multimodal neural synergistic regulation.

2. The quantum emotion monitoring system based on infrasound-gut axis synergistic feedback according to claim 1, characterized in that: The quantum MIMO array module emits and generates micro-Doppler signals on the body surface through a gallium nitride emitter. The returned signal is received by a superconducting quantum receiver. The quantum MIMO array module maps the original echo signal to a quantum state through the superconducting quantum receiver, directly obtains the joint probability distribution, avoids the limitations of the uncertainty principle, and realizes quantum micro-tremor analysis.

3. The quantum emotion monitoring system based on infrasound-gut axis synergistic feedback according to claim 1, characterized in that: The infrasonic resonant cavity module is mainly composed of a polyvinylidene fluoride (PVDF) piezoelectric thin film resonant cavity and a gallium nitride (GaN) radio frequency front end. The thickness of the PVDF thin film is strictly controlled within the tolerance range of 50μm±2μm, the quality factor Q of the resonant cavity is not less than 1000, and the millimeter-wave transmitting unit operates in the 60-64GHz frequency band with a phase noise of less than -130dBc / Hz.

4. A quantum emotion monitoring system based on infrasound-gut axis synergistic feedback as described in claim 1, characterized in that: The thermal imaging module reflects the local vasoconstriction and vasodilation state through temperature gradients, such as the temperature rise caused by increased blood flow in the hypothalamus region during anxiety. The thermal imaging module is equipped with a 16×16 pixel uncooled infrared focal plane array, with a thermal sensitivity of 0.05℃@30Hz refresh rate. The built-in anatomical projection partitioning algorithm can calibrate the hypothalamus and enterocerebral axis coordinate regions in real time.

5. A quantum emotion monitoring system based on infrasound-gut axis synergistic feedback as described in claim 1, characterized in that: The edge quantization processor module employs a variable-component eigenstate solver (VQE) to complete the exploration of emotion eigenstates within 800ms. The core of the edge quantization processor module uses the domestically produced quantum encryption and processing chip QUANT-1A, which integrates 8 qubits to support quantum state manipulation, measurement, and the execution of basic quantum algorithms. The quantum fusion is executed on the 8-qubit processor, and the operation sequence includes: setting the RY gate-encoded infrasonic parameter: θ. infra =arccos(E infra );θ infra These are the RY-gate encoded infrasound parameters. Setting the RZ-gate encoded thermal imaging parameters: θ thermal These are RZ-gated thermal imaging parameters. It is a temperature gradient that establishes quantum entanglement between bits 0 and 2 in the CX gate.

6. A quantum emotion monitoring system based on infrasound-gut axis synergistic feedback as described in claim 1, characterized in that: The gamma wave intervention module enables the transformation of quantum state decisions into quantifiable neurophysiological interventions for efficient anxiety relief.

7. A quantum emotion monitoring system based on infrasound-gut axis synergistic feedback as described in claim 1, characterized in that: The implementation process of this system is divided into four stages, strictly following the closed-loop architecture of "multimodal perception - quantum fusion decision-making - biofeedback intervention - privacy protection output"; First, multimodal sensing is performed, that is, the system signal flow starts from the infrasound resonant cavity, which collects abdominal infrasound signals through a 50μm PVDF piezoelectric film, and extracts the anxiety feature frequency band through a 0.17Hz bandpass filter with Q≥1000. The signal is then amplified by a superconducting receiving unit with low noise (≤130dBc / Hz). Simultaneously, the quantum MIMO array transmits millimeter waves through a 61.25GHz GaN transmitting unit and receives human body echoes. The thermal imaging module simultaneously captures the temperature distribution in the brain-gut axis region. The two signals converge to the edge quantum processor to perform multimodal quantum fusion decision calculations. The final generated control command drives the gamma wave intervention device to emit a 40Hz neuromodulation wave, which is transmitted to and simultaneously controls the bone conduction headphones to output 90° phase difference white noise for biofeedback intervention and privacy protection output, forming a closed-loop pathway of "sensing-processing-intervention".

8. The application method of a quantum emotion monitoring system based on infrasound-gut axis synergistic feedback according to any one of claims 1-7, characterized in that: include: Step 1: Multimodal signal acquisition and preprocessing. First, deploy the equipment modules, connecting the quantum MIMO array module to the infrasound resonant cavity module, installing it 1.8 meters above the ground at a 30° angle to cover the human torso. Simultaneously, deploy the thermal imaging module coaxially, centered on the perinasal region, at a distance of 1.5-2 meters, calibrating the hypothalamus zone A and the brain-gut axis zone B. Second, perform signal extraction, first performing phase-locked amplification of the infrasound energy; the phase-locked amplification formula is as follows: Where E infra t represents infrasound energy, and t represents time. An early warning is triggered when the infrasound energy exceeds 120mV. Then, the temperature gradient is calculated based on the thermal imaging module data. The temperature gradient calculation method is as follows: in Represents the temperature gradient, T A T represents the temperature of Zone A. B This represents the temperature of Zone B, and t represents time. Finally, the quantum entropy is calculated based on millimeter-wave micro-Doppler data, using the following formula: Where Φ entropy p represents quantum entropy i The frequency represents the randomness of muscle tremors when the quantum entropy is greater than 0.

4. Step 2: Perform quantum fusion decision-making. First, perform quantum state encoding and set the RY gate encoded infrasonic parameters: θ infra =arccos(E infra ), where θ infra These are the RY-gate encoded infrasound parameters; setting the RZ-gate encoded thermal imaging parameters: Where θ thermal These are RZ-gated thermal imaging parameters. It is a temperature gradient; and quantum entanglement between qubits 0 and 2 is established in the CX gate; then, the emotion wave function is constructed, as shown in the following formula: |ψ emotion >=a|0>+b|1> Where α=E infra ×norm, E infra The energy of the infrasound wave after lock-in amplification is given, where norm is a constant. For thermal imaging fluctuations, lg|Φ entropy | represents the quantum entropy of the micro-Doppler signal; Finally, the triggering condition for quantum fusion decision is determined, if |ψ emotion At <0.32, gamma wave intervention and bone conduction feedback are activated; Step 3: Biofeedback Intervention; First, multimodal synchronous intervention is performed; simultaneously, a 40Hz±0.1Hz precision gamma wave generator circuit and bone conduction phase modulation are implemented, where the square wave duty cycle is controlled within 75%±2%, and the output voltage fluctuation is less than ±50mV. The biofeedback intervention module immediately responds to the warning protocol: that is, firstly, the 40Hz gamma wave transmitter is activated, and its driving voltage is strictly controlled within 5V±0.2V to induce neural synchronization; at the same time, a white noise sequence with a 90° phase difference is output through bone conduction headphones to achieve coordinated modulation between the vestibular system and the auditory center; during this process, the temperature change rate of the hypothalamus region is monitored in real time, requiring a warming rate of more than 0.3℃ / minute to ensure the effectiveness of the intervention, ultimately forming a closed-loop emotion regulation mechanism; Step 4: Perform privacy-preserving output; first, output only the permitted data in JSON format; second, destroy the data locally, such as the original infrasound waveform, thermal imaging temperature matrix, quantum state probability cloud map, etc.; finally, use AES-256 mode for communication encryption.

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