Noninvasive human sleep nerve regulation method and system

Abstract

The invention discloses a non-invasive human sleep nerve regulation and control method and a non-invasive human sleep nerve regulation and control system. The method comprises the following steps: acquiring a first physiological signal of a user, and performing real-time sleep staging on the user to judge a deep sleep stage of the user; on the basis of a sleep staging result, when the user is in a deep sleep state, slow wave power detection is carried out through the second physiological signal; the phase angle of the slow wave is calculated according to the slow wave state, so that tACS electrical stimulation is carried out when the phase angle meets a preset condition; after the tACS electrical stimulation is carried out for a period of time, a third physiological signal of the user is obtained, and the physiological active state of the user is obtained by analyzing the third physiological signal; and when the physiological active state is an uplink state, performing TMR sound stimulation. Therefore, through mutual cooperation of tACS electrical stimulation and TMR sound stimulation, non-invasive nerve regulation and control on the user are jointly realized, and the nerve regulation and control effect on sleep is improved.

Description

Technical Field

[0001] The present invention relates to a non-invasive human sleep neural regulation method and also to a corresponding human sleep neural regulation system, belonging to the field of neural regulation technology. Background Art

[0002] Sleep plays a vital role in human health and cognitive function. Numerous studies have shown that adequate and high-quality sleep is essential for maintaining cognitive function, emotional regulation, and the body's repair processes. Sleep plays a unique role in memory consolidation, in particular. Memory consolidation refers to the process by which the brain converts short-term memories into long-term memories after learning and experiencing certain events. Sleep is considered a key stage in this process. Numerous studies have shown that memory consolidation occurs during sleep. In response to these findings, some intervention strategies have emerged in recent years that aim to influence the memory consolidation process during sleep through external stimuli. These stimuli can be sounds, smells, or even electrical stimulation, with the goal of strengthening the consolidation process of certain memories during specific sleep stages.

[0003] Currently, many studies are using the Target Memory Reactivation (TMR) paradigm, which aims to reactivate specific memories during sleep and improve individual memory retention. TMR experiments link daytime learning information with specific sounds or olfactory stimuli. These sounds or olfactory stimuli are then played during sleep. Participants are then asked to complete cognitive tasks, such as word recall and image recognition. Experimenters compare performance between participants who received TMR and those who did not to assess TMR's effect on memory consolidation. The consensus is that TMR can improve memory. However, TMR research has limitations. Most current studies use randomized sound stimulation during NREM or REM sleep. Some studies use slow wave detection during the ascending phase of slow waves. However, because the onset of slow waves is often unpredictable, many slow waves are often missed. Furthermore, research has shown that the first slow wave often contains more memory information, making capturing the first slow wave crucial.

[0004] tACS is another common neuromodulatory method. It is a non-invasive brain stimulation technology that uses low-intensity alternating current (usually 1-2 mA) to be delivered to the cerebral cortex through electrodes. The current intensity of tACS is very small and does not directly activate neurons. Instead, it regulates the amplitude of neural oscillations by affecting the synchronization of neurons. However, the main disadvantages of tACS are as follows: (1) As an electrical stimulus, tACS's current flows from the cathode to the anode. The traditional tACS anode is set at the top or frontal area of ​​the head, and the cathode is set at the mastoid. In this way, the current will spread throughout the brain, resulting in a very low field strength in the cortex; (2) Although tACS has the effect of enhancing slow waves to change memory results, it cannot accurately locate the slow waves of the corresponding memory. It can only improve the intensity and phase coupling of the slow waves after tACS stimulation at the overall level. Summary of the Invention

[0005] The primary technical problem to be solved by the present invention is to provide a non-invasive method for regulating human sleep nerves.

[0006] Another technical problem to be solved by the present invention is to provide a non-invasive human sleep neural regulation system.

[0007] In order to achieve the above technical objectives, the present invention adopts the following technical solutions:

[0008] According to a first aspect of an embodiment of the present invention, a non-invasive method for regulating human sleep nerves is provided, comprising the following steps:

[0009] Acquiring a first physiological signal of the user;

[0010] parsing the first physiological signal to obtain multiple sleep stages of the user;

[0011] If the sleep stage satisfies a first preset condition, obtaining a second physiological signal of the user corresponding to the sleep stage;

[0012] parsing the second physiological signal to obtain a slow wave state of the user;

[0013] Acquiring phase angle information of the slow wave according to the slow wave state of the user;

[0014] When a continuous slow wave event is detected, the last five seconds of the virtual channel are subjected to a second-order bidirectional filter of 0.5 to 1.2 Hz, and the waveform of the last five seconds is fitted with a cosine function to obtain its phase and frequency; in addition, the time when the next 270° position of the waveform will appear is predicted, and a first preset stimulation is applied at the 270° phase point; wherein, the first preset stimulation is tACS electrical stimulation; wherein, the first preset stimulation is tACS electrical stimulation;

[0015] After the first preset stimulation is completed, obtaining a third physiological signal of the user;

[0016] parsing the third physiological signal to obtain the physiological activity state of the user;

[0017] When the physiological activity state of the user is in an up state, a second preset stimulation is performed on the user; wherein the second preset stimulation at least includes TMR sound stimulation.

[0018] Preferably, the first physiological signal is an electroencephalogram (EEG) signal collected by electroencephalography (EEG), so as to divide the user's sleep into stages according to the EEG signal, thereby obtaining multiple sleep stages of the user;

[0019] The first preset condition is: the sleep stage is a deep sleep stage; and the second physiological signal is deep sleep data.

[0020] Preferably, analyzing the second physiological signal to obtain the slow wave state of the user includes:

[0021] Analyzing the second physiological signal to obtain cumulative power across all frequency bands;

[0022] Obtaining the cumulative power of the slow-wave frequency band according to the cumulative power of the full frequency band;

[0023] When the cumulative power of the slow-wave frequency band exceeds a preset ratio of the cumulative power of the full frequency band, it is determined that the user has experienced continuous slow waves, thereby obtaining the slow-wave state of the user.

[0024] Preferably, the phase angle information satisfies a preset angle of 240° to 300°.

[0025] Preferably, the frequency range of the tACS electrical stimulation is the slow wave frequency, and each time lasts for a first preset duration, so that the simulated slow wave is coupled with the spontaneous slow wave;

[0026] Alternatively, the frequency range of the tACS electrical stimulation is the spindle frequency, and each duration is a second preset time length, so that the simulated spindle fits on the peak of the spontaneous slow wave.

[0027] Preferably, during the tACS electrical stimulation, the anode and cathode are positioned as follows:

[0028] Cathode AFz, anode FCC3h, FCC4h;

[0029] Alternatively, cathode Cz, anode CPP3h, CPP4h.

[0030] Preferably, after the tACS electrical stimulation is completed, a third preset time period is waited, and the sound stimulation point is in an upward state, and the sound stimulation is performed multiple times, each lasting no more than 1 second, and the interval between the multiple sound stimulations is 4 to 6 seconds.

[0031] Preferably, the second preset stimulation is a combination of one or more of sound stimulation, olfactory stimulation, light stimulation or magnetic stimulation.

[0032] Preferably, when it is detected that the phase angle information meets the preset angle, an electrical stimulation is applied with a frequency range of 4 to 8 Hz and an intensity not exceeding 3 mA, each duration is 0.5 to 2 s, and the interval between multiple electrical stimulations is 3 to 5 s.

[0033] According to a second aspect of an embodiment of the present invention, a non-invasive human sleep neural regulation system is provided, comprising:

[0034] an acquisition unit, configured to acquire a first physiological signal of the user, acquire a second physiological signal of the user corresponding to the sleep stage when the sleep stage satisfies a first preset condition, and acquire a third physiological signal of the user when the first preset stimulation is completed;

[0035] an analyzing unit, connected to the acquiring unit, configured to analyze the first physiological signal to acquire the user's multiple sleep stages; further configured to analyze the second physiological signal to acquire the user's slow-wave state; and further configured to analyze the third physiological signal to acquire the user's physiological activity state;

[0036] The stimulation unit is connected to the analysis unit and is used to obtain the phase angle information of the slow wave according to the slow wave state of the user, and perform a first preset stimulation when the phase angle information meets the preset angle, and perform a second preset stimulation when the physiological activity state of the user meets the second preset condition.

[0037] Compared with the prior art, the present invention has the following technical effects:

[0038] (1) By analyzing EEG signals and deep sleep data, the user's slow wave state can be obtained, and tACS electrical stimulation can be performed at a specific time based on the slow wave state. In addition, TMR stimulation is performed after tACS electrical stimulation, so that cortical activity is first enhanced by tACS stimulation, thereby enhancing the subsequent TMR stimulation effect. Therefore, by combining the regulation of HD-tACS and TMR, certain memories can be selectively improved to compensate for the shortcomings of tACS, and HD-tACS can enhance the intensity of slow waves, thereby also enhancing the intervention effect of TMR.

[0039] (2) Unlike traditional tACS, the present invention uses a high-density tACS device. Compared with traditional tACS, this device can concentrate the current intensity at a more accurate location, thereby increasing the intensity of the cortical current and having a better regulatory effect.

[0040] (3) Unlike traditional TMR sound stimulation methods, the present invention adopts innovative closed-loop TMR sound stimulation. By collecting EEG information during sleep, TMR sound stimulation is performed when the slope of the brain waves during sleep is detected to be positive. Compared with random stimulation, this method can more accurately apply sound stimulation to the physiologically active state. Moreover, compared with only detecting the ascending state of slow waves, the TMR sound stimulation method in the present invention can apply more TMR stimulation and can stimulate the first slow wave that may appear, thereby improving the intervention effect of TMR. BRIEF DESCRIPTION OF THE DRAWINGS

[0041] Figure 1 This is an overall flow chart of a non-invasive human sleep neuromodulation method provided by the first embodiment of the present invention;

[0042] Figure 2 A detailed flow chart of a non-invasive human sleep neuromodulation method provided by the first embodiment of the present invention;

[0043] Figure 3 is a schematic diagram of a sleep stage model according to a first embodiment of the present invention;

[0044] Figure 4 Schematic diagram of tACS electrical stimulation in the first embodiment of the present invention.

[0045] Figure 5 Schematic diagram of the coupling between the sine wave and the spontaneous slow wave of tACS in the first embodiment of the present invention;

[0046] Figure 6 is a schematic diagram of a physiologically active state in the first embodiment of the present invention;

[0047] Figure 7 A schematic structural diagram of a non-invasive human sleep neural regulation system is provided for the second embodiment of the present invention;

[0048] Figure 8 A schematic structural diagram of a non-invasive human sleep neural regulation system is provided for the third embodiment of the present invention. DETAILED DESCRIPTION

[0049] The technical content of the present invention is described in detail below with reference to the accompanying drawings and specific embodiments.

[0050] The core technical concept of the embodiment of the present invention is to combine the regulation of HD-tACS (high-density tACS) and TMR (Target Memory Reactivation), and perform TMR stimulation after tACS regulation. The principle is that tACS stimulation enhances cortical activity, and then TMR stimulation is performed, thereby enhancing the effect of TMR. In this way, certain memories can be selectively improved to compensate for the shortcomings of tACS, and HD-tACS can enhance the intensity of slow waves, thereby enhancing the intervention effect of TMR.

[0051] It is understood that in the embodiments of the present invention, this dual regulation not only more effectively enhances specific memories, but also improves the efficiency and precision of intervention, showing unique advantages when strengthening certain specific memories or cognitive functions. This combination of technologies offers new possibilities for personalized memory intervention and cognitive enhancement, especially in areas such as sleep disorders, learning disabilities, or memory loss, and has broad application prospects.

[0052] First embodiment

[0053] like Figure 1 and Figure 2 As shown, the first embodiment of the present invention provides a non-invasive human sleep neural regulation method, which mainly includes the following steps:

[0054] The first step is to obtain the user's first physiological signal (a scalp EEG signal in this embodiment) so as to perform real-time sleep staging on the user to determine the user's deep sleep stage.

[0055] In the second step, based on the result of the sleep staging, when the user is in a deep sleep state, the slow wave power is detected through the second physiological signal (deep sleep data in this embodiment).

[0056] The third step is to calculate the phase angle of the slow wave according to the slow wave state, so as to perform the first preset stimulation (tACS electrical stimulation in this embodiment) at a specific time.

[0057] Step 4: After a period of tACS electrical stimulation, a third physiological signal of the user (in this embodiment, an activity signal of the cerebral cortex) is obtained, and the user's physiological activity state is obtained by analyzing the third physiological signal;

[0058] In the fifth step, when the physiological activity state is in the upward state, the second preset stimulation (TMR sound stimulation in this embodiment) is performed, so that through the mutual cooperation of HD-tACS electrical stimulation and TMR sound stimulation, non-invasive neural regulation of the user is achieved.

[0059] Below, each step is described in detail:

[0060] Step S1: Acquire a first physiological signal of a user to classify the user into sleep stages.

[0061] In this embodiment, the user's brain electrical signals (i.e., first physiological signals) are first collected through electroencephalography (EEG), including the entire night's sleep EEG. This EEG signal is then used to perform real-time sleep staging on the user to determine the current sleep stage the user is in. Deep sleep includes stages N2 and N3, so the neuromodulation in this embodiment is performed during these stages.

[0062] To achieve high-stability slow-wave power detection, a virtual channel is calculated by averaging five fronto-central EEG channels (Fz, FC1, FC2, F3, and F4) from 10 to 20 systems to identify the overall synchronous activity of the EEG recorded during sleep. This virtual channel allows observation of moments of relatively high slow-wave power, and the included channels are stored in a running 30-second buffer. The EEG acquisition device continuously feeds the computer with whole-brain sleep data from the subject via the Lab Streaming Layer (LSL). The data acquisition module collects data from the channels required by the aforementioned modules (e.g., C3, M2, EOG, and EMG channels for the sleep staging model) in a separate, long-running parallel thread. This thread, placed in the first parallel thread, continues to collect sleep data regardless of the main thread's progress.

[0063] To achieve stable results, a certain amount of data is required to facilitate preprocessing before input into other modules. Therefore, this acquisition module defines a five-minute data buffer and a 40-second data warm-up period. During the 40-second warm-up period after module activation, the framework only pulls data to expand the buffer; other modules do not read from the buffer during this period. After the warm-up period, the required modules are activated while data is being pulled, while the buffer continues to grow until the maximum buffer duration is reached.

[0064] In this embodiment, the selected EEG signal data is preprocessed online. After performing a second-order bidirectional filter of 0.1 to 250 Hz, the last five seconds of data are taken, and the channels with amplitudes exceeding 500uV are eliminated and averaged. The virtual channel data in the updated buffer is further processed. The preprocessing process includes filtering (0.1 to 0.35 Hz for EEG, 10 to 100 Hz for EMG, and 0.3 to 35 Hz for ECG), and using the contralateral mastoid as an online reference. Subsequently, when performing real-time sleep staging, a dedicated sleep staging model (such as Figure 3In this regard, further reference may be made to the prior patent application numbered 202411822510.7 (filing date: December 11, 2024, patent name: A method for real-time sleep staging modeling, real-time encoding and decoding method and system).

[0065] Step S2: Acquire a second physiological signal of the user, and analyze the second physiological signal to obtain the slow wave state of the user.

[0066] After the user's sleep is staged in step S1, deep sleep data (i.e., a second physiological signal) of the user in a deep sleep state can be obtained based on the sleep staging results. Thus, by analyzing the deep sleep data, the cumulative power of the entire frequency band is obtained; based on the cumulative power of the entire frequency band, the cumulative power of the slow wave frequency band is obtained; when the cumulative power of the slow wave frequency band exceeds a preset ratio of the cumulative power of the entire frequency band, it is determined that the user has experienced continuous slow waves, thereby obtaining the user's slow wave state.

[0067] Specifically, slow wave signals only appear in the two sleep stages N2 and N3. After obtaining the second physiological signal, the slow wave detection module can detect the user's unique slow wave in non-rapid eye movement sleep, and then obtain the slow wave by performing power calculation on the second physiological signal. In this embodiment, when the sleep stage enters stable non-rapid eye movement sleep (N2, N3), the data of the previous 30 seconds is read every 10ms and a one-way filtering process of 0.5-1.2Hz is performed on it. When the ratio of the cumulative power of the slow wave (0.5-1.2Hz) is 20% of the total cumulative power of the full-power frequency band of 0.1-250Hz, it is determined that a continuous slow wave event has occurred at this time, and the first preset stimulation (tACS electrical stimulation in this embodiment) is planned to be implemented on the user.

[0068] Step S3: Calculating the phase angle of the slow wave according to the slow wave state, thereby performing a first preset stimulation at a specific time.

[0069] After detecting the occurrence of a continuous slow wave event based on step S2, the last five seconds of the virtual channel are subjected to a second-order bidirectional filter at a frequency of 0.5 to 1.2 Hz. A cosine function is then fitted to the waveform for the last five seconds to determine its phase and frequency. The next 270° position (since tACS is a sinusoidal wave, stimulation is performed at the cosine-fitted 270° position) of the waveform is predicted, and the first pre-set stimulation is delivered at the 270° phase point.

[0070] Specifically, after the occurrence of continuous slow wave events is determined, tACS electrical stimulation is applied using the HD-tACS device. Figure 4As shown, setting tACS electrodes at AFz, FCC3h and FCC4h (the location of the 128-channel electrode point) can maximize the activation of the suprathalamic cortex (because the thalamus is where spindles are generated, and spindles and slow waves are considered to be important sleep rhythms for memory consolidation, and stimulating this area can effectively change these sleep rhythms) to achieve a field strength that meets the standard. The duration of tACS is set to 6.66 seconds, the stimulation frequency is about 0.8Hz of the slow wave frequency, 5 cycles, and the current intensity is set to a total of 1.5mA. Thus, as shown in Figure 5 As shown, the tACS sinusoidal waves and spontaneous slow waves can be coupled together to increase the amplitude of the slow waves.

[0071] In another embodiment, the first preset stimulation is an electrical stimulation with a duration of 0.5 to 2 s and a frequency range of 10 to 16 Hz (similar to the frequency of spindle waves), whereby the simulated spindle waves can fit the ascending state of the slow wave.

[0072] Step S4: Acquire a third physiological signal of the user and analyze the third physiological signal.

[0073] In this embodiment, after the first preset stimulation is completed, the brain will be silent for 10 seconds. After the brain is silent, the cortex is activated and the physiological signal at this moment is obtained. The physiological signal is the third physiological signal. Then, based on the third physiological signal, the physiological activity state is obtained.

[0074] like Figure 6 As shown, according to the characteristics of neuronal discharge activity, when the slope of the EEG is upward (that is, when the EEG signal moves from the trough to the peak, it is a physiologically active state), it is marked as a physiologically active state in this embodiment (different from the upward state and the downward state). When the EEG activity in the third physiological signal is detected to be in a physiologically active state, it is planned to apply a second preset stimulation to the user. The reason for applying stimulation in the physiologically active state: in this state, the EEG activity is more active, and by applying stimulation at this position, it is easier to apply the stimulation to the upward state of the slow wave, and more stimulation can be applied.

[0075] Step S5: performing a second preset stimulation when the physiological activity state is in the upward state.

[0076] In this embodiment, the second preset stimulus is a TMR sound stimulus. Before the stimulus begins, the user is asked to memorize predefined image and audio pairs, each with the same semantic meaning. For example, an image labeled "sheep" is paired with the sound of a sheep. Over time, the user is exposed to 1,000 such pairings, presented in either an image-audio or audio-image sequence, and is asked to determine whether these pairs are correct.

[0077] Subsequently, during the nighttime EEG recording, online real-time sleep staging was performed. When the user entered N2 and N3 sleep stages and slow waves meeting the power requirements were detected, tACS stimulation was performed, and EEG signals were monitored in real time 10 seconds after tACS stimulation. When the EEG slope was positive (i.e., the physiological activity state was in the upward state), auditory cues randomly selected from the image-audio pairs were played every 4 to 6 seconds, with a duration of 0.5 seconds.

[0078] In addition, in another embodiment, the second preset stimulation is a combination of one or more of sound stimulation, olfactory stimulation, light stimulation or magnetic stimulation.

[0079] The human sleep neural regulation method provided by the embodiment of the present invention is a closed-loop regulation method. The method can automatically perform tACS electrical stimulation at a specific slow wave phase calculated based on the user's sleep cycle and EEG signal state. Specifically, after the occurrence of continuous slow wave events is monitored based on step S2, the last five seconds of the virtual channel are subjected to a second-order bidirectional filter of 0.5 to 1.2 Hz, and the cosine function is used to fit the waveform of the last five seconds to obtain its phase and frequency. The time when the next 270° position (near the trough) of the waveform appears is predicted, and the first preset stimulation is implemented at the 270° phase point. tACS applied at the 270° phase point (the early stage of the slow wave rising edge) can maximize neuronal synchronization. This phase corresponds to the repolarization period after synaptic inhibition, and electric field stimulation can easily induce cluster discharges.

[0080] Ten seconds after the stimulation is completed, TMR sound stimulation in the ascending state of the EEG is performed (the EEG signal is detected in real time 10 seconds after the tACS stimulation. When the slope of the EEG signal is positive, it indicates that the marker neuronal cluster has switched from inhibition to excitation, that is, the physiologically active state is the ascending state. The auditory cue randomly selected from the image-audio pair is played every 4 to 6 seconds, and the duration of the sound is 0.5 seconds). That is, the precise stimulation of tACS at the slow wave phase of 270° (near the trough) is temporally coupled with the ascending state TMR. This strengthens the offline reorganization of memory traces through the double entrainment effect, which can enhance the amplitude and synchronization of slow wave oscillations and promote synaptic plasticity. Therefore, the present invention directly captures the ascending state of the EEG slope from negative to positive without relying on the slow wave amplitude threshold.

[0081] In addition, the present invention can apply more sound stimulation by setting the up-state to stimulate TMR, which can bring about more recurring activities. Because the up-state with a positive slope of the EEG signal is a window period when the excitability of the cortical neuron group increases, the efficiency of the hippocampus in transmitting memory information to the cortex is the highest at this time, and the response sensitivity to TMR is improved, which can accurately activate the neural traces associated with learning and avoid interfering with sleep continuity. In the prior art, the stimulation strategy based on the preset slow wave threshold is prone to miss some low-amplitude slow waves and cannot distinguish the excitability characteristics of neurons; moreover, only a small number of slow wave events meet the stimulation conditions above the threshold, resulting in limited TMR stimulation opportunities and unsatisfactory stimulation effects.

[0082] Second embodiment

[0083] like Figure 7 As shown, based on the above-mentioned first embodiment, the second embodiment of the present invention provides a non-invasive human sleep neural regulation system, including an acquisition unit 1, an analysis unit 2 and a stimulation unit 3. Among them, the acquisition unit 1 is used to acquire the user's physiological signals, including a first physiological signal, a second physiological signal and a third physiological signal. Among them, since the types of the three physiological signals are not the same, three acquisition modules 11 can be pre-set in the acquisition unit 1 to collect different types of physiological signals at different periods. The specific signal acquisition period can refer to the description in the above-mentioned first embodiment and will not be repeated here.

[0084] The analysis unit 2 is connected to the acquisition unit 1 and is used to analyze the three physiological signals. The analysis unit 2 includes a sleep staging model 21 for analyzing the first physiological signal. Furthermore, the analysis unit 2 includes a power detection module 22 for analyzing the second physiological signal through power detection. Furthermore, the analysis unit 2 includes an EEG analysis module 23 for determining whether the slope of the neuronal activity signal is rising or falling, thereby analyzing the third physiological signal.

[0085] The stimulation unit 3 is connected to the analysis unit 2 and is used to perform a first preset stimulation and then a second preset stimulation. It can be understood that the stimulation unit 3 includes a first stimulation module 31 and a second stimulation module 32. The first stimulation module 31 is used to perform electrical stimulation, and the second stimulation module 32 is used to perform sound stimulation.

[0086] It can be understood that the various units and modules in this embodiment are functional modules for implementing the various steps in the above-mentioned first embodiment, but are not limited to this module type. In other embodiments, they can also be replaced with module structures to implement the various steps in the first embodiment.

[0087] Third embodiment

[0088] Based on the above non-invasive human sleep neural regulation method, the third embodiment of the present invention further provides a non-invasive human sleep neural regulation system. Figure 8 As shown, the human sleep neuromodulation system includes one or more processors and a memory. The memory is coupled to the processor and is used to store one or more programs. When the one or more programs are executed by the one or more processors, the one or more processors implement the human sleep neuromodulation method as described in the above embodiment.

[0089] Wherein, the processor is used to control the overall operation of the human sleep neuroregulation system to complete all or part of the steps of the above-mentioned non-invasive human sleep neuroregulation method. The processor can be a central processing unit (CPU), a graphics processing unit (GPU), a field programmable gate array (FPGA), an application-specific integrated circuit (ASIC), a digital signal processing (DSP) chip, etc. The memory is used to store various types of data to support the operation of the human sleep neuroregulation system. These data may include, for example, instructions for any application or method operating on the human sleep neuroregulation system, as well as application-related data. The memory can be implemented by any type of volatile or non-volatile storage device or a combination thereof, such as static random access memory (SRAM), electrically erasable programmable read-only memory (EEPROM), erasable programmable read-only memory (EPROM), programmable read-only memory (PROM), read-only memory (ROM), magnetic memory, flash memory, etc.

[0090] In an exemplary embodiment, the human sleep neuroregulation system can be implemented by a computer chip or entity, or by a product with a certain function, for executing the above-mentioned non-invasive human sleep neuroregulation method and achieving the same technical effect as the above-mentioned method. A typical embodiment is a computer. Specifically, the computer can be, for example, a personal computer, a laptop computer, an in-vehicle human-computer interaction device, a cellular phone, a camera phone, a smart phone, a personal digital assistant, a media player, a navigation device, an email device, a game console, a tablet computer, a wearable device, or a combination of any of these devices.

[0091] In another exemplary embodiment, the present invention further provides a computer-readable storage medium comprising program instructions, which, when executed by a processor, implement the steps of the human sleep neuromodulation method described in any of the above embodiments. For example, the computer-readable storage medium may be the aforementioned memory comprising the program instructions, which may be executed by a processor of a neuromodulation system to perform the aforementioned non-invasive human sleep neuromodulation method and achieve the same technical effects as the above methods.

[0092] In summary, the embodiments of the present invention provide a non-invasive method and system for regulating human sleep nerves, which have the following beneficial effects:

[0093] (1) By analyzing EEG signals and deep sleep data, the user's slow wave state can be obtained, and then tACS electrical stimulation can be performed at a specific time according to the slow wave state. In addition, when tACS electrical stimulation is performed after TMR stimulation, cortical activity is first enhanced by tACS stimulation, thereby enhancing the subsequent TMR stimulation effect. Therefore, by combining the regulation of HD-tACS and TMR, certain memories can be selectively improved to compensate for the shortcomings of tACS, and HD-tACS can enhance the intensity of slow waves, thereby also enhancing the intervention effect of TMR.

[0094] (2) Unlike traditional tACS, the present invention uses a high-density tACS device. Compared with traditional tACS, this device can concentrate the current intensity at a more accurate location, thereby increasing the intensity of the cortical current and having a better regulatory effect.

[0095] (3) Unlike the traditional TMR sound stimulation method, the present invention adopts an innovative closed-loop TMR sound stimulation. By collecting EEG brain wave information during sleep, TMR sound stimulation is performed when the slope of the brain wave during sleep is detected to be positive. Compared with random stimulation, this method can more accurately apply sound stimulation in the upward state. Moreover, compared with only detecting the slow wave and stimulating the upward state of the slow wave, the TMR sound stimulation method in the embodiment of the present invention can apply more TMR stimulation and can stimulate the first slow wave that may appear, thereby improving the intervention effect of TMR.

[0096] It should be noted that the above embodiments are merely examples, and the technical solutions of the various embodiments may be combined and are all within the scope of protection of the present invention.

[0097] Furthermore, the terms "first" and "second" are used for descriptive purposes only and should not be construed as indicating or implying relative importance or implicitly specifying the number of the technical features being referred to. Thus, a feature identified as "first" or "second" may explicitly or implicitly include one or more of the features. In the description of the present invention, "plurality" means two or more, unless otherwise specifically defined.

[0098] The above describes in detail the human sleep neural regulation method and system provided by the present invention. For those skilled in the art, any obvious modification made to the present invention without departing from the essence of the present invention will constitute an infringement of the present invention's patent rights and will result in corresponding legal liability.

Claims

1. A non-invasive method for regulating human sleep nerves, characterized in that The steps include: Acquiring a first physiological signal of the user; parsing the first physiological signal to obtain multiple sleep stages of the user; If the sleep stage satisfies a first preset condition, obtaining a second physiological signal of the user corresponding to the sleep stage; parsing the second physiological signal to obtain a slow wave state of the user; Acquiring phase angle information of the slow wave according to the slow wave state of the user; When a continuous slow wave event is detected, the virtual channel's last preset duration is subjected to a second-order bidirectional filter in a preset frequency range, and the waveform of the last preset duration is fitted using a cosine function to obtain its phase and frequency. Furthermore, the time of the next 270° position of the waveform is predicted, and a first preset stimulation is applied at the 270° phase point; wherein the first preset stimulation is tACS electrical stimulation. After the first preset stimulation is completed, obtaining a third physiological signal of the user; parsing the third physiological signal to obtain the physiological activity state of the user; When the physiological activity state of the user is in an up state, a second preset stimulation is performed on the user; wherein the second preset stimulation at least includes TMR sound stimulation.

2. The method for regulating human sleep nerves according to claim 1, wherein: The first physiological signal is an electroencephalogram (EEG) signal collected by electroencephalography (EEG), so as to divide the user's sleep into stages according to the EEG signal, thereby obtaining multiple sleep stages of the user; The first preset condition is: the sleep stage is a deep sleep stage; and the second physiological signal is deep sleep data.

3. The method for regulating human sleep nerves according to claim 2, wherein Analyzing the second physiological signal to obtain the slow wave state of the user specifically includes: Analyzing the second physiological signal to obtain cumulative power across all frequency bands; Obtaining the cumulative power of the slow-wave frequency band according to the cumulative power of the full frequency band; When the cumulative power of the slow-wave frequency band exceeds a preset ratio of the cumulative power of the full frequency band, it is determined that the user has experienced continuous slow waves, thereby obtaining the slow-wave state of the user.

4. The method for regulating human sleep nerves according to claim 1, wherein: The phase angle information satisfies a preset angle of 240° to 300°.

5. The method for regulating human sleep nerves according to claim 4, wherein: The tACS electrical stimulation has a frequency range of slow wave frequency and lasts for a first preset duration each time, so that the simulated slow wave is coupled with the spontaneous slow wave; Alternatively, the frequency range of the tACS electrical stimulation is the spindle frequency, and each duration is a second preset time length, so that the simulated spindle fits on the peak of the spontaneous slow wave.

6. The method for regulating human sleep nerves according to claim 5, wherein During tACS electrical stimulation, the anode and cathode are positioned as follows: Cathode AFz, anode FCC3h, FCC4h; Alternatively, cathode Cz, anode CPP3h, CPP4h.

7. The method for regulating human sleep nerves according to claim 5, wherein: After the tACS electrical stimulation is completed, wait for a third preset time, and the sound stimulation point is in the upward state, and perform the sound stimulation multiple times, each lasting no more than 1 second, and the interval between multiple sound stimulations is 4 to 6 seconds.

8. The method for regulating human sleep nerves according to claim 1, wherein: The second preset stimulation is a combination of one or more of sound stimulation, olfactory stimulation, light stimulation or magnetic stimulation.

9. The method for regulating human sleep nerves according to claim 1, wherein: When it is detected that the phase angle information meets the preset angle, an electrical stimulation with a frequency range of 4 to 8 Hz and an intensity not exceeding 3 mA is applied, each duration is 0.5 to 2 s, and the interval between multiple electrical stimulations is 3 to 5 s.

10. A non-invasive human sleep neural regulation system, characterized in that include: an acquisition unit, configured to acquire a first physiological signal of the user, acquire a second physiological signal of the user corresponding to the sleep stage when the sleep stage satisfies a first preset condition, and acquire a third physiological signal of the user when the first preset stimulation is completed; an analyzing unit, connected to the acquiring unit, configured to analyze the first physiological signal to acquire the user's multiple sleep stages; further configured to analyze the second physiological signal to acquire the user's slow-wave state; and further configured to analyze the third physiological signal to acquire the user's physiological activity state; The stimulation unit is connected to the analysis unit and is used to obtain the phase angle information of the slow wave according to the slow wave state of the user, and perform a first preset stimulation when the phase angle information meets the preset angle, and perform a second preset stimulation when the physiological activity state of the user meets the second preset condition.

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