Intelligent brain wave sleep-aiding pillow and method thereof

Abstract

The invention relates to the technical field of bedding articles, and provides an intelligent brain wave sleep-aiding pillow and a method thereof.The intelligent brain wave sleep-aiding pillow comprises a pillow inner, a brain wave sensing module, an intelligent decision-making module, a multi-mode intervention module and a cloud collaboration platform; the pillow inner comprises a contact layer, a bearing strip is arranged on the side, facing the neck, of the contact layer, and a sensing layer, a calculation layer, an intervention layer and a supporting layer are arranged in the contact layer. The electroencephalogram sensing module is used for collecting brain waves of a user in the early, middle and later periods of insomnia and sending the brain waves to the intelligent decision-making module; the intelligent decision-making module is used for storing and analyzing the received brain waves and carrying out personalized sleep-aiding design for different users; the multi-mode intervention module is used for carrying out multi-aspect sleep-aiding operation on the user and helping the user to improve the insomnia quality; and the cloud collaboration platform is used for data management analysis and communication. The method has the beneficial effects of real-time intervention, multi-mode collaboration and individuation.

Description

Technical Field

[0001] The present invention relates to the technical field of bedding, and in particular to an intelligent brainwave sleep-aiding pillow and a method thereof. Background Art

[0002] Pillows are an indispensable daily necessity for people. Sleeping with a pillow is a happy rest and enjoyment for most people.

[0003] With the increasingly fast pace of life, many people are facing the problems of high life pressure and poor sleep quality. Regular poor sleep quality or even frequent insomnia can cause great harm to the human body and is not conducive to protecting people's health. Nowadays, more than 30% of the world's population suffers from sleep disorders.

[0004] However, the sleep-aiding methods used by pillows in reality generally involve soothing effects such as temperature adjustment, music adjustment, and scent adjustment. Therefore, existing sleep-aiding technologies still have the following three limitations: 1. Passive intervention: Traditional white noise or aromatherapy methods cannot detect the user's real-time sleep status; 2. Single dimension: Physical regulation such as temperature and pressure cannot reach the neural level of sleep regulation; 3. Individual differences: There is a lack of personalized program design for different insomnia patients. Summary of the Invention

[0005] In order to overcome the deficiencies in the prior art, the purpose of the present invention is to provide an intelligent brainwave sleep-aiding pillow and method thereof, which can improve the deep sleep time through the synergistic effect of four-dimensional intervention of sound, light, magnetism and temperature; and formulate a personalized intervention plan according to the user's own situation.

[0006] The present invention is implemented as follows: an intelligent brainwave sleep-aiding pillow, which includes: a pillow core, an EEG sensor module, an intelligent decision-making module, a multimodal intervention module and a cloud collaboration platform; The pillow core includes a contact layer, a support strip is provided on the side of the contact layer facing the neck, and a sensing layer, a computing layer, an intervention layer and a support layer are provided inside the contact layer; The EEG sensor module is used to collect the user's brain waves before, during and after insomnia, and send the brain waves to the intelligent decision-making module; The intelligent decision-making module is used to store and analyze received brain waves and provide personalized sleep aid designs for different users; The multimodal intervention module is used to provide users with various sleep-aiding operations to help them improve the quality of insomnia; The intervention layer has a built-in titanium alloy bracket, which plays a supporting role to avoid pressure on the components of the intervention layer during use; An aerogel thermal insulation film is provided between the intervention layer and the support layer to isolate the heat transfer between the intervention layer and the support layer to avoid thermal interference; The cloud-based collaborative platform is used for data management, analysis, and communication; it adopts distributed data management and blockchain-based encrypted storage, and supports model updates under the federated learning framework.

[0007] Preferably, the contact layer includes a layer of soft silicone and a moisture-permeable and quick-drying fabric wrapped around the outer layer of the soft silicone. The soft silicone and the outer layer of the moisture-permeable and quick-drying fabric are quickly disassembled and assembled by a magnetic buckle, and the magnetic buckle is arranged on the side of the pillow core.

[0008] Preferably, the EEG sensing module is arranged in the sensing layer, and the EEG sensing module includes a flexible EEG sensing electrode group, and the multiple electrodes of the flexible EEG sensing electrode group are distributed in an array. The flexible EEG sensing electrode group includes a frontal lobe sensing electrode, a parietal lobe sensing electrode and an occipital lobe sensing electrode. The frontal lobe sensing electrodes are arranged on both sides of the pillow core away from the supporting bar, the parietal lobe sensing electrodes are arranged on the middle side of the pillow core away from the supporting bar, and the occipital lobe sensing electrodes are arranged in the middle of the pillow core adjacent to the parietal lobe sensing electrodes.

[0009] Preferably, the flexible EEG sensing electrode group adopts graphene / PDMS composite electrodes, and the stretchability is improved through a serpentine routing design to ensure signal stability when the head moves.

[0010] Preferably, the intelligent decision-making module is arranged in the computing layer, the intelligent decision-making module includes a main control unit and an energy storage system, and the computing layer is arranged in the center of the back side of the pillow core to avoid the head and neck pressure area; the energy storage system includes a removable lithium battery, the removable lithium battery is placed in the bottom groove of the computing layer, and the removable lithium battery supports wireless charging, and the charging port is arranged on the back side wall of the pillow core; the computing layer is provided with honeycomb ventilation holes, which cooperate with silent fans to help the components inside the computing layer dissipate heat.

[0011] Preferably, a hidden button is provided on the side of the pillow core, which is connected to the energy storage system and is used to control the connection and disconnection of the power path, thereby controlling the start and stop of the sleep-aiding function.

[0012] Preferably, the multimodal intervention module includes an acoustic and light stimulation unit, a transcranial magnetic coil and a dynamic temperature control system. The acoustic and light stimulation unit and the transcranial magnetic coil are arranged in the intervention layer. The acoustic and light stimulation unit includes a micro-speaker and an LED light group. The micro-speaker is embedded on both sides of the pillow core, and the LED light group is distributed in the corresponding forehead area of ​​the pillow core, and is evenly spaced in a grid arrangement; the transcranial magnetic coil adopts an eight-shaped copper coil, and the coil is buried in the middle 1 / 3 area of ​​the pillow. The magnetic field coverage of the coil is the dorsolateral cortex of the prefrontal lobe; the dynamic temperature control system is arranged in the support layer, and the dynamic temperature control system includes phase change material (PCM) microcapsules and an electric heating film. The PCM microcapsules are evenly mixed in the gel of the support layer, and the electric heating film is distributed in a serpentine shape in the lower layer of the support layer.

[0013] Preferably, the support layer adopts a composite structure of gradient density memory foam and phase change material (PCM). The support layer adopts a partitioned support structure, including a cervical vertebra support area and a head support area. The memory foam density in the cervical vertebra support area is greater than that in the head support area. The high-density memory foam in the cervical vertebra support area supports the neck. The top of the cervical vertebra support area is a circular arc surface to maintain the natural physiological curvature of the cervical spine. The low-density memory foam in the head support area provides soft support for the brain.

[0014] A method for aiding sleep using an intelligent brainwave sleep-aiding pillow, comprising: Press the hidden button on the side of the pillow to connect the circuit; The flexible EEG sensor electrode group collects EEG waves from the user's frontal, parietal, and occipital regions of the brain, automatically switching to the corresponding brain region for signal collection based on the user's sleeping position. When the user is lying on their side, the frontal electrodes touch the scalp, while when the user is lying on their back, the parietal and occipital electrodes work together. The flexible EEG sensor electrode group transmits EEG signals to the intelligent decision-making module in real time, and the signals are uploaded to the cloud collaboration platform with simultaneous encryption. The intelligent decision-making module extracts brainwave frequency band characteristics in real time, analyzes the insomnia stage based on the user's historical sleep data, and identifies abnormal conditions such as anxiety and tension. It then generates personalized intervention strategies based on machine learning models, such as sound and light parameters, magnetic stimulation intensity, and temperature curves, to improve adaptability. Based on these personalized intervention strategies, it sends operational instructions to the multimodal intervention module. When the multimodal intervention module's sound and light stimulation unit receives instructions, the micro-speaker plays white noise or rhythmic audio, and the LED light group flashes at a low frequency to induce EEG synchronization. When the transcranial magnetic coil receives instructions, the figure-eight copper coil targets and stimulates the dorsolateral prefrontal cortex, regulating neural excitability and alleviating anxiety. When the dynamic temperature control system receives instructions, the support layer absorbs and releases heat through phase change material microcapsules to maintain a body surface temperature of 33±2°C. The electric heating film regulates the temperature in different zones, and the aerogel insulation film blocks thermal interference. The cloud-based collaborative platform uses blockchain encryption to store user data, analyzes group sleep patterns through distributed computing, and optimizes the global model.

[0015] Compared with the prior art, the present invention has the following beneficial effects: 1. Real-time intervention: Adopting a closed-loop control chain of "monitoring-analysis-intervention", breaking through the one-way operation mode of traditional sleep aids; 2. Multimodal synergy: The multimodal intervention module uses the four-dimensional intervention of sound, light, magnetism, and temperature to increase deep sleep time and improve sleep quality; 3. Personalization: Based on the personalized model of transfer learning, a personalized intervention plan is formulated according to the user's own situation to improve the efficiency of sleep assistance. BRIEF DESCRIPTION OF THE DRAWINGS

[0016] In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the following briefly introduces the drawings required for use in the embodiments. It should be understood that the following drawings only illustrate certain embodiments of the present invention and therefore should not be regarded as limiting the scope. For ordinary technicians in this field, other relevant drawings can be obtained based on these drawings without paying any creative work.

[0017] Figure 1 is a schematic diagram of a front cross-sectional structure of an embodiment of the present invention; Figure 2 is a schematic side cross-sectional structural diagram of an embodiment of the present invention; Figure 3 1 is a flowchart of a sleep aid method according to an embodiment of the present invention.

[0018] The marks in the accompanying drawings are: 1. Pillow core; 101. Support bar; 2. Flexible EEG sensor electrode group; 201. Frontal lobe sensor electrode; 202. Parietal lobe sensor electrode; 203. Occipital lobe sensor electrode; 301. Main control unit; 302. Energy storage system; 303. Charging port; 4. Ventilation hole; 5. Silent fan; 6. Sound and light stimulation unit; 601. Micro speaker; 602. LED light group; 7. Transcranial magnetic coil; 8. Dynamic temperature control system; 801. Phase change material microcapsule; 802. Electric heating film; 901. Cervical vertebra support area; 902. Head support area; 10. Titanium alloy bracket; 11. Aerogel thermal insulation film. DETAILED DESCRIPTION

[0019] In order to more fully understand the technical content of the present invention, the technical solution of the present invention is further introduced and illustrated in conjunction with specific embodiments below, but is not limited thereto. The technical solution in the embodiment of the present invention will be clearly and completely described below in conjunction with the drawings in the embodiment of the present invention. Obviously, the described embodiment is only a part of the embodiment of the present invention, not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without making creative work are within the scope of protection of the present invention.

[0020] refer to Figures 1 to 2 The smart brainwave sleep-aiding pillow includes: a pillow core 1, an EEG sensing module, an intelligent decision-making module, a multimodal intervention module and a cloud collaboration platform; The pillow core 1 includes a contact layer, and a support bar 101 is provided on the side of the contact layer facing the neck. The support bar 101 is used to support the neck and maintain the physiological curvature of the neck. The contact layer includes a layer of soft silicone and a moisture-permeable and quick-drying fabric wrapped in the outer layer of the soft silicone. The soft silicone and the outer layer of moisture-permeable and quick-drying fabric are quickly disassembled and assembled through magnetic buckles, which are convenient for cleaning. The magnetic buckles are set on the side of the pillow core 1 to avoid affecting the comfort of the contact surface; a sensing layer, a computing layer, an intervention layer and a support layer are provided inside the contact layer.

[0021] The EEG sensor module is used to collect the user's brain waves before, during and after insomnia, and send the brain waves to the intelligent decision-making module; The EEG sensing module is arranged in the sensing layer, and the EEG sensing module includes a flexible EEG sensing electrode group 2. The multiple electrodes of the flexible EEG sensing electrode group 2 are distributed in an array. The flexible EEG sensing electrode group 2 includes a frontal lobe sensing electrode 201, a parietal lobe sensing electrode 202 and an occipital lobe sensing electrode 203. The frontal lobe sensing electrode 201 is arranged on both sides of the pillow core 1 away from the supporting bar 101. When the user lies on his side, the frontal lobe sensing electrode 201 collects brain waves from the user's frontal lobe area; the parietal lobe sensing electrode 202 is arranged on the middle side of the pillow core 1 away from the supporting bar 101, and the occipital lobe sensing electrode 203 is arranged in the middle of the pillow core 1 adjacent to the parietal lobe sensing electrode 202. When the user lies on his back, the parietal lobe sensing electrode 202 and the occipital lobe sensing electrode 203 collect brain waves from the user's parietal lobe and occipital lobe areas. The flexible EEG sensing electrode group 2 uses graphene / PDMS composite electrodes, and the serpentine routing design improves the stretchability to ensure signal stability when the head moves.

[0022] The intelligent decision-making module is used to store and analyze received brain waves and provide personalized sleep aid designs for different users; The intelligent decision-making module is located in the computing layer, which includes a main control unit 301 and an energy storage system 302. The computing layer is located in the center of the back of the pillow core 1, away from the head and neck pressure zone. The energy storage system 302 includes a removable lithium battery, which is placed in a groove at the bottom of the computing layer and supports wireless charging. The charging port 303 is located on the back wall of the pillow core 1. The computing layer is equipped with honeycomb-shaped ventilation holes 4, which cooperate with a silent fan 5 to help dissipate heat from the components within the computing layer. A hidden button is installed on the side of the pillow core 1. The hidden button is connected to the energy storage system 302 and is used to control the connection and disconnection of the power path, thereby controlling the start and stop of the sleep-aid function.

[0023] The multimodal intervention module is used to provide users with various sleep-aiding operations to help them improve the quality of insomnia; The multimodal intervention module includes an acoustic and light stimulation unit 6, a transcranial magnetic coil 7 and a dynamic temperature control system 8. The acoustic and light stimulation unit 6 and the transcranial magnetic coil 7 are arranged in the intervention layer. The acoustic and light stimulation unit 6 includes a micro-speaker 601 and an LED light group 602. The micro-speaker 601 is embedded on both sides of the pillow core 1, and the LED light group 602 is distributed in the corresponding forehead area of ​​the pillow core 1, and is evenly spaced in a grid arrangement; the transcranial magnetic coil 7 adopts an eight-shaped copper coil, which is buried in the middle 1 / 3 area of ​​the pillow, and the magnetic field of the coil covers the dorsolateral cortex of the prefrontal lobe; the dynamic temperature control system 8 is arranged in the support layer, and the dynamic temperature control system 8 includes phase change material (PCM) microcapsules and electric heating film 802. The PCM microcapsules are evenly mixed in the gel of the support layer, and the electric heating film 802 is distributed in a serpentine shape in the lower layer of the support layer.

[0024] The intervention layer has a built-in titanium alloy bracket 10, which plays a supporting role to avoid compression on the components of the intervention layer during use.

[0025] The support layer adopts a composite structure of gradient density memory foam and phase change material (PCM). The phase change temperature is set at 33±2℃, which is close to the human skin temperature. It adopts a partitioned support structure, including a cervical vertebra support area 901 and a head support area 902. The memory foam density of the cervical vertebra support area 901 is greater than that of the head support area 902. The high-density memory foam in the cervical vertebra support area 901 supports the neck. The top of the cervical vertebra support area 901 is a circular surface to maintain the natural physiological curvature of the cervical spine. The low-density memory foam in the head support area 902 provides soft support for the brain, avoiding compression on brain blood vessels, affecting the brain's oxygen supply and causing dizziness and other reactions.

[0026] An aerogel thermal insulation film 11 is provided between the intervention layer and the support layer. The aerogel thermal insulation film 11 is used to isolate heat transfer between the intervention layer and the support layer to avoid thermal interference.

[0027] The cloud-based collaborative platform is used for data management, analysis, and communication; it adopts distributed data management and blockchain-based encrypted storage, and supports model updates under the federated learning framework.

[0028] refer to Figure 3 , a sleep-aiding method of an intelligent brainwave sleep-aiding pillow, comprising: Press the hidden button on the side of pillow core 1 to connect the circuit; The flexible EEG sensor electrode group 2 collects EEG waves from the user's frontal, parietal, and occipital regions of the brain, and automatically switches to the corresponding brain region signal collection according to the user's sleeping position (supine or side). When the user is lying on the side, the frontal electrodes touch the scalp, and when the user is lying on the back, the parietal and occipital electrodes work together. The flexible EEG sensor electrode group 2 transmits EEG signals to the intelligent decision-making module in real time, and the signals are uploaded to the cloud collaboration platform with synchronous encryption. The intelligent decision-making module extracts brainwave frequency band characteristics (such as alpha and theta waves) in real time, analyzes the insomnia stage (early, middle, and late stages) based on the user's historical sleep data (stored in the cloud), and identifies abnormal states such as anxiety and tension. It then generates personalized intervention strategies based on machine learning models, such as sound and light parameters, magnetic stimulation intensity, and temperature curves, to improve adaptability, and sends operational instructions to the multimodal intervention module based on the personalized intervention strategy. After receiving instructions, the sound and light stimulation unit 6 of the multimodal intervention module plays white noise or rhythmic audio, and the LED light group 602 flashes at a low frequency (such as delta wave frequency) to induce EEG synchronization. After receiving instructions, the transcranial magnetic coil 7 uses a figure-eight copper coil to target and stimulate the dorsolateral prefrontal cortex, regulating neural excitability and alleviating anxiety. After receiving instructions, the dynamic temperature control system 8 absorbs and releases heat through phase change material (PCM) microcapsules in the support layer to maintain a body surface temperature of 33±2°C. The electric heating film 802 regulates temperature in different zones (such as heating the neck for relaxation and cooling the head for calmness), and the aerogel insulation film 11 blocks thermal interference. The cloud-based collaborative platform uses blockchain encryption to store user data, analyzes group sleep patterns through distributed computing, and optimizes the global model.

[0029] The embodiments described above are only part of the embodiments of the present invention, but the scope of protection of the present invention is not limited thereto. Any ordinary technician in the field, within the technical scope disclosed by the present invention, can make equivalent replacements or changes based on the technical solutions and inventive concepts of the present invention, which should be covered by the scope of protection of the present invention.

Claims

1. An intelligent brainwave sleep-aiding pillow, characterized in that: The sleep-aiding pillow comprises: a pillow core (1), an electroencephalogram (EEG) sensing module, an intelligent decision-making module, a multimodal intervention module, and a cloud-based collaborative platform; The pillow core (1) comprises a contact layer, a support strip (101) is provided on the side of the contact layer facing the neck, and a sensing layer, a computing layer, an intervention layer and a support layer are provided inside the contact layer; The EEG sensor module is used to collect the user's brain waves before, during and after insomnia, and send the brain waves to the intelligent decision-making module; The intelligent decision-making module is used to store and analyze received brain waves and provide personalized sleep aid designs for different users; The multimodal intervention module is used to provide users with various sleep-aiding operations to help them improve the quality of insomnia; The intervention layer is built with a titanium alloy bracket (10), which plays a supporting role to avoid pressure on the components of the intervention layer during use; An aerogel thermal insulation film (11) is provided between the intervention layer and the support layer, and the aerogel thermal insulation film (11) is used to isolate heat transfer between the intervention layer and the support layer to avoid thermal interference; The cloud-based collaborative platform is used for data management, analysis, and communication; it adopts distributed data management and blockchain-based encrypted storage, and supports model updates under the federated learning framework.

2. The intelligent brainwave sleep-aiding pillow according to claim 1, characterized in that: The contact layer comprises a layer of soft silica gel and a moisture-permeable quick-drying fabric wrapped around the outer layer of the soft silica gel. The soft silica gel and the outer layer of the moisture-permeable quick-drying fabric are quickly disassembled and assembled via a magnetic buckle, and the magnetic buckle is arranged on the side of the pillow core (1).

3. The intelligent brainwave sleep-aiding pillow according to claim 1, characterized in that: The electroencephalogram (EEG) sensing module is arranged in the sensing layer. The electroencephalogram (EEG) sensing module includes a flexible electroencephalogram (EEG) sensing electrode group (2). The multiple electrodes of the flexible electroencephalogram (EEG) sensing electrode group (2) are distributed in an array. The flexible electroencephalogram (EEG) sensing electrode group (2) includes a frontal lobe sensing electrode (201), a parietal lobe sensing electrode (202), and an occipital lobe sensing electrode (203). The frontal lobe sensing electrode (201) is arranged on both sides of the pillow core (1) away from the supporting bar (101), the parietal lobe sensing electrode (202) is arranged on the middle of the pillow core (1) away from the supporting bar (101), and the occipital lobe sensing electrode (203) is arranged in the middle of the pillow core (1) adjacent to the parietal lobe sensing electrode (202).

4. The intelligent brainwave sleep-aiding pillow according to claim 3, characterized in that: The flexible EEG sensing electrode group (2) uses a graphene / PDMS composite electrode, and increases the stretchability through a serpentine routing design, thereby ensuring signal stability when the head moves.

5. The intelligent brainwave sleep-aiding pillow according to claim 1, characterized in that: The intelligent decision-making module is arranged in the computing layer, and the intelligent decision-making module includes a main control unit (301) and an energy storage system (302). The computing layer is arranged in the center of the back side of the pillow core (1) to avoid the head and neck pressure area; the energy storage system (302) includes a detachable lithium battery, which is placed in the bottom groove of the computing layer, and the detachable lithium battery supports wireless charging, and the charging port (303) is arranged on the back side wall of the pillow core (1); the computing layer is provided with honeycomb ventilation holes (4), which cooperate with the silent fan (5) to help the components inside the computing layer dissipate heat.

6. The intelligent brainwave sleep-aiding pillow according to claim 5, characterized in that: A hidden button is provided on the side of the pillow core (1), and the hidden button is connected to the energy storage system (302) and is used to control the connection and disconnection of the power supply path, thereby controlling the start and stop of the sleep-aiding function.

7. The intelligent brainwave sleep-aiding pillow according to claim 1, characterized in that: The multimodal intervention module includes an acoustic and optical stimulation unit (6), a transcranial magnetic coil (7) and a dynamic temperature control system (8). The acoustic and optical stimulation unit (6) and the transcranial magnetic coil (7) are arranged in the intervention layer. The acoustic and optical stimulation unit (6) includes a micro-speaker (601) and an LED light group (602). The micro-speaker (601) is embedded in both sides of the pillow core (1). The LED light group (602) is distributed in the forehead corresponding area of ​​the pillow core (1) and is evenly spaced in a grid arrangement. The transcranial magnetic coil (7) adopts an eight-shaped copper coil, which is embedded in the middle 1 / 3 area of ​​the pillow. The magnetic field coverage range of the coil is the dorsolateral cortex of the prefrontal lobe. The dynamic temperature control system (8) is arranged in the support layer. The dynamic temperature control system (8) includes phase change material (PCM) microcapsules and an electric heating film (802). The PCM microcapsules are evenly mixed in the gel of the support layer, and the electric heating film (802) is distributed in a snake-like shape in the lower layer of the support layer.

8. The intelligent brainwave sleep-aiding pillow according to claim 1, characterized in that: The support layer adopts a composite structure of gradient density memory foam and phase change material. The support layer adopts a partitioned support structure, including a cervical vertebra support area (901) and a head support area (902). The density of the memory foam in the cervical vertebra support area (901) is greater than that in the head support area (902). The high-density memory foam in the cervical vertebra support area (901) supports the neck. The top of the cervical vertebra support area (901) is an arc surface to maintain the natural physiological curvature of the cervical spine. The low-density memory foam in the head support area (902) provides soft support for the brain.

9. A method for aiding sleep using an intelligent brainwave sleep-aiding pillow, characterized in that: The method includes: Press the hidden button on the side of the pillow core (1) to connect the circuit; The flexible EEG sensing electrode group (2) collects EEG waves from the frontal lobe, parietal lobe and occipital lobe areas of the user's brain respectively, and automatically switches to the corresponding brain area signal collection according to the user's sleeping posture. When the user lies on his side, the frontal lobe electrodes contact the scalp, and when the user lies on his back, the parietal lobe and occipital lobe electrodes work together. The flexible EEG sensing electrode group (2) transmits the EEG signals to the intelligent decision-making module in real time, and uploads them to the cloud collaboration platform through synchronous encryption. The intelligent decision-making module extracts brainwave frequency band characteristics in real time, analyzes the insomnia stage based on the user's historical sleep data, and identifies abnormal conditions such as anxiety and tension. It then generates personalized intervention strategies based on machine learning models, such as sound and light parameters, magnetic stimulation intensity, and temperature curves, to improve adaptability. Based on these personalized intervention strategies, it sends operational instructions to the multimodal intervention module. After the sound and light stimulation unit (6) of the multimodal intervention module receives the instruction, the micro speaker (601) plays white noise or rhythmic audio, and the LED light group (602) flashes at a low frequency to induce EEG synchronization; after the transcranial magnetic coil (7) receives the instruction, the figure-eight copper coil targets and stimulates the dorsolateral prefrontal cortex, regulates neural excitability, and relieves anxiety; after the dynamic temperature control system (8) receives the instruction, the support layer absorbs / releases heat through the phase change material microcapsules (801) to maintain a body surface temperature of 33±2°C; the electric heating film (802) regulates the temperature in different zones, and the aerogel insulation film (11) blocks thermal interference; The cloud-based collaborative platform uses blockchain encryption to store user data, analyzes group sleep patterns through distributed computing, and optimizes the global model.

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