Closed-loop adaptive transcranial electrical stimulation sleep modulation system and device

Abstract

The application belongs to the technical field of sleep monitoring. A closed-loop adaptive transcranial electrical stimulation sleep regulation system and device are provided. According to acquired electroencephalogram signal data, a slow wave activity index and a sleep stage are obtained. According to the slow wave activity index, a current amplitude of an anodal discharge signal is obtained. According to the sleep stage, a current frequency of the anodal discharge signal is obtained. According to an acquired real-time state of blood vessels, a current frequency variation rate of the anodal discharge signal and a current amplitude variation rate of the anodal discharge signal are dynamically adjusted to determine a dynamic discharge signal. Electrical stimulation is performed according to the dynamic discharge signal to perform sleep regulation. The application realizes precise control of transcranial electrical stimulation sleep regulation and has an outstanding sleep treatment effect.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of sleep monitoring, in particular to a closed-loop adaptive transcranial electrical stimulation sleep regulation system and device. BACKGROUND

[0002] The statements in this section merely provide background technology related to the present application and do not necessarily constitute prior art.

[0003] Transcranial electrical stimulation techniques, such as tDCS (transcranial direct current stimulation) and CES (cranial electrotherapy stimulator), as a non-invasive neural regulation means, have been widely used in the treatment of sleep disorders, depression and other neuropsychiatric diseases. Traditional tDCS adjusts cortical excitability through constant current (0.5mA~2mA), while CES relies on fixed parameter micro-current stimulation.

[0004] However, the traditional tDCS uses fixed current signal stimulation (fixed amplitude and frequency), which cannot adaptively adjust the parameters according to the dynamic changes of brain electrical activity in the sleep cycle (such as the increase of non-rapid eye movement period delta wave power and the dominance of theta wave in rapid eye movement period). This "one-size-fits-all" stimulation strategy may lead to insufficient stimulation in non-rapid eye movement period, and the demand for cortical excitability decreases when sleep deepens. Fixed current may cause excessive excitation of neurons and interfere with slow wave sleep structure; REM (rapid eye movement sleep) EEG shows low-amplitude fast waves, and fixed current may destroy the unique neural oscillation pattern of REM, inducing dream abnormalities or wakefulness response; Open-loop CES devices usually operate independently of the EEG monitoring module. EEG signals reveal millisecond-level neuron cluster activity, and the fixed stimulation frequency (such as 30 minutes / time) of traditional CES cannot match the transient changes of EEG, which may miss the key intervention window (such as when sleep spindle appears). SUMMARY

[0005] In order to solve the problems of the prior art, the present application provides a closed-loop adaptive transcranial electrical stimulation sleep regulation system and device, which dynamically adjusts the current frequency variation rate of the anode discharge signal and the current amplitude variation rate of the anode discharge signal according to the acquired real-time state of the blood vessels to determine the dynamic discharge signal, and performs electrical stimulation according to the dynamic discharge signal to regulate sleep, thereby realizing precise control of transcranial electrical stimulation sleep regulation.

[0006] In order to achieve the above purpose, the present application adopts the following technical solutions:

[0007] In a first aspect, the present application provides a closed-loop adaptive transcranial electrical stimulation sleep regulation system.

[0008] A closed-loop adaptive transcranial electrical stimulation sleep regulation system, comprising:

[0009] A brain electrical signal processing unit configured to obtain a slow wave activity index and a sleep stage according to the obtained brain electrical signal data;

[0010] A current amplitude calculation unit configured to obtain a current amplitude of the anodal discharge signal according to the slow wave activity index;

[0011] A current frequency calculation unit configured to obtain a current frequency of the anodal discharge signal according to the sleep stage;

[0012] A discharge dynamic adjustment unit configured to dynamically adjust a current frequency variation rate of the anodal discharge signal and a current amplitude variation rate of the anodal discharge signal according to the obtained real-time state of the blood vessel to determine a dynamic discharge signal, and perform electrical stimulation according to the dynamic discharge signal to perform sleep regulation.

[0013] In an implementation form of the first aspect of the present application, in the current amplitude calculation unit, the current amplitude of the anodal discharge signal is a product of the slow wave activity index and a first coefficient, and a sum of the product and a first constant.

[0014] In an implementation form of the first aspect of the present application, in the current frequency calculation unit, the current frequency of the anodal discharge signal is obtained according to the sleep stage, comprising: wherein, represents the current frequency of the anodal discharge signal; represents a quantized value of the sleep stage; and all represent constant coefficients.

[0015] In an implementation form of the first aspect of the present application, in the discharge dynamic adjustment unit, the current frequency variation rate of the anodal discharge signal is dynamically adjusted, comprising:

[0016] When the blood vessel is in the expansion period and the real-time expansion rate of the blood vessel exceeds a set threshold, a difference between the real-time expansion rate of the blood vessel and the set threshold is calculated, and the current frequency variation rate of the anodal discharge signal is in a positive proportional relationship with the difference.

[0017] In an implementation form of the first aspect of the present application, in the discharge dynamic adjustment unit, the current amplitude variation rate of the anodal discharge signal is dynamically adjusted, comprising:

[0018] When the blood vessel is in the plateau period, the amplitude decay rate is adjusted in combination with a difference between the maximum diastolic diameter and the current diastolic diameter of the blood vessel, so that the amplitude decay of the electrical stimulation matches the diastolic state of the blood vessel, and the current amplitude variation rate of the anodal discharge signal is adaptively adjusted, and the formula is wherein, This represents the adaptive decay time parameter; Represents the fundamental time constant; Represents the maximum diastolic diameter; Represents the current moment The diastolic diameter.

[0019] In one implementation of the first aspect of the present invention, in the discharge dynamic adjustment unit, when the sleep is in the deep sleep stage of non-rapid eye movement sleep, the anode discharge signal adopts a synchronous square wave; when the sleep is in the rapid eye movement sleep stage, the anode discharge signal adopts a random intermittent pulse; and when the sleep is in the wakefulness stage, the anode discharge signal adopts a biphasic pulse.

[0020] Secondly, the present invention provides a closed-loop adaptive transcranial electrical stimulation sleep regulation device.

[0021] A closed-loop adaptive transcranial electrical stimulation sleep regulation device includes: an anode electrode, a cathode electrode, a discharge signal generator, an electroencephalogram (EEG) signal acquisition device, and a control terminal. The anode electrode is applied to the prefrontal cortex, and the cathode electrode is applied to the mastoid process. The positive terminal of the discharge signal generator is connected to the anode electrode, and the negative terminal of the discharge signal generator is connected to the cathode electrode. The discharge signal generator and the EEG signal acquisition device are respectively connected to the control terminal.

[0022] The control terminal is configured to execute the following procedure:

[0023] Based on the EEG signal data collected by the EEG signal acquisition device, the slow wave activity index and sleep stage are obtained;

[0024] The current amplitude of the anodic discharge signal is obtained based on the slow wave activity index.

[0025] Based on the sleep stage, the current frequency of the anode discharge signal is obtained;

[0026] Based on the real-time state of the blood vessels, the rate of change of the current frequency and the rate of change of the current amplitude of the anodic discharge signal are dynamically adjusted to determine the dynamic discharge signal. Electrical stimulation is then performed based on the dynamic discharge signal to regulate sleep.

[0027] Thirdly, the present invention provides a computer device, comprising: a processor and a computer-readable storage medium;

[0028] A processor, adapted to execute computer programs;

[0029] A computer-readable storage medium storing a computer program, which, when executed by a processor, performs the following processes:

[0030] According to the acquired electroencephalogram signal data, a slow wave activity index and a sleep stage are obtained;

[0031] According to the slow wave activity index, a current amplitude of the anodal discharge signal is obtained;

[0032] According to the sleep stage, a current frequency of the anodal discharge signal is obtained;

[0033] According to the acquired real-time state of blood vessels, a current frequency variation rate of the anodal discharge signal and a current amplitude variation rate of the anodal discharge signal are dynamically adjusted to determine a dynamic discharge signal, and the sleep is regulated by electric stimulation according to the dynamic discharge signal.

[0034] In a fourth aspect, the present application provides a computer readable storage medium, which stores a computer program, and the computer program is suitable for being loaded and executed by a processor to perform the following processes:

[0035] According to the acquired electroencephalogram signal data, a slow wave activity index and a sleep stage are obtained;

[0036] According to the slow wave activity index, a current amplitude of the anodal discharge signal is obtained;

[0037] According to the sleep stage, a current frequency of the anodal discharge signal is obtained;

[0038] According to the acquired real-time state of blood vessels, a current frequency variation rate of the anodal discharge signal and a current amplitude variation rate of the anodal discharge signal are dynamically adjusted to determine a dynamic discharge signal, and the sleep is regulated by electric stimulation according to the dynamic discharge signal.

[0039] In a fifth aspect, the present application provides a computer program product, which comprises a computer program, and the computer program is executed by a processor to perform the following processes:

[0040] According to the acquired electroencephalogram signal data, a slow wave activity index and a sleep stage are obtained;

[0041] According to the slow wave activity index, a current amplitude of the anodal discharge signal is obtained;

[0042] According to the sleep stage, a current frequency of the anodal discharge signal is obtained;

[0043] According to the acquired real-time state of blood vessels, a current frequency variation rate of the anodal discharge signal and a current amplitude variation rate of the anodal discharge signal are dynamically adjusted to determine a dynamic discharge signal, and the sleep is regulated by electric stimulation according to the dynamic discharge signal.

[0044] Compared with the prior art, the present application has the following beneficial effects:

[0045] The application innovatively provides a closed-loop adaptive transcranial electrical stimulation sleep regulation system, according to the obtained real-time state of blood vessels, the current frequency variation rate of an anode discharge signal and the current amplitude variation rate of the anode discharge signal are dynamically adjusted to determine a dynamic discharge signal, and the dynamic discharge signal is used for electrical stimulation to regulate sleep, so that precise control of transcranial electrical stimulation sleep regulation is realized.

[0046] The application obtains a slow wave activity index and a sleep stage through brain electrical signals, dynamically adjusts the current frequency and amplitude variation rate of an anode discharge signal in combination with a real-time state of blood vessels, generates a dynamic discharge signal, realizes preliminary adaptation of electrical stimulation parameters based on real-time monitoring of brain electrical signals and sleep stages, and further dynamically optimizes the variation process of the stimulation parameters through the state of blood vessels, so that the electrical stimulation can be real-time matched with the changes of sleep state and blood vessel state, thereby precisely regulating sleep and improving real-time and pertinence of regulation.

[0047] The application defines the current amplitude of the anode discharge signal as the product of the slow wave activity index and the first coefficient plus the first constant, directly quantifies the slow wave activity characteristics of the brain electrical signals as the amplitude parameter of the electrical stimulation, so that the amplitude can reflect the strength of the slow wave activity, thereby precisely adjusting the stimulation intensity according to the real-time situation of the slow wave activity and enhancing the regulation effect on sleep.

[0048] The application converts the sleep stage into the current frequency, and different sleep stages correspond to different frequencies, so that the frequency of the electrical stimulation is adapted to the physiological characteristics of the sleep stage (such as the brain electrical signal law of deep sleep, rapid eye movement and other stages), thereby regulating sleep in a targeted manner.

[0049] When the blood vessels are in the expansion period and the real-time expansion rate exceeds the set threshold, the current frequency variation rate is proportional to the difference between the real-time expansion rate of the blood vessels and the set threshold, the dynamic change of the expansion rate of the blood vessels is used to adjust the fast and slow of the current frequency, so that the electrical stimulation can sensitively respond to the dynamic state of the blood vessels, further optimize the dynamic adaptability of the stimulation, and improve the regulation accuracy.

[0050] When the blood vessels are in the platform period, the amplitude decay rate is adjusted in combination with the difference between the maximum diastolic diameter and the current diastolic diameter of the blood vessels, so that the amplitude decay of the electrical stimulation is matched with the diastolic state of the blood vessels, and the stability and adaptability of the stimulation are ensured when the blood vessels are stable (in the platform period).

[0051] According to different sleep periods (non-rapid eye movement sleep deep sleep period, rapid eye movement sleep period and wake-up period), synchronous square waves, random intermittent pulses and biphasic pulses are respectively used, the brain electrical signals and physiological states of different sleep periods are different, and the targeted pulse form can match the physiological needs of each period (such as enhancing slow wave in deep sleep period, adapting brain electrical activity in rapid eye movement period and regulating wake-up state in wake-up period), thereby improving the regulation effect of each sleep stage.

[0052] Advantages of the additional aspects of the present application will become apparent in light of the following description. BRIEF DESCRIPTION OF DRAWINGS

[0053] The accompanying drawings, which form a part of this specification, are included to provide a further understanding of the application, and are incorporated by reference in their entirety.

[0054] Figure 1 A schematic diagram of a closed-loop adaptive transcranial electrical stimulation sleep modulation system according to an example embodiment of the present application;

[0055] Figure 2 A schematic diagram of a closed-loop adaptive transcranial electrical stimulation sleep modulation device according to an example embodiment of the present application;

[0056] Figure 3 A schematic diagram of a computer device according to an example embodiment of the present application. DETAILED DESCRIPTION

[0057] The present application will be further described with reference to the drawings and examples.

[0058] It should be noted that the following detailed description is exemplary in nature and is intended to provide further description of the application. Unless otherwise defined, all technical and scientific terms used herein have the same meaning as commonly understood by one of ordinary skill in the art to which this application belongs.

[0059] The present application proposes a closed-loop adaptive transcranial electrical stimulation sleep modulation system, an anode is applied to the frontal cortex (the region located at the most front end of the frontal lobe of the brain), and a cathode is applied to the mastoid position (a bony protrusion located behind the temporal bone below the temporal bone of the skull behind the ear). As shown, it comprises: Figure 1

[0060] An electroencephalogram signal processing unit configured to obtain a slow wave activity index and a sleep stage according to the acquired electroencephalogram signal data;

[0061] A current amplitude calculation unit configured to obtain a current amplitude of the anode discharge signal according to the slow wave activity index;

[0062] A current frequency calculation unit configured to obtain a current frequency of the anode discharge signal according to the sleep stage;

[0063] A discharge dynamic adjustment unit configured to dynamically adjust a current frequency variation rate of the anode discharge signal and a current amplitude variation rate of the anode discharge signal according to the acquired real-time state of the blood vessels to determine a dynamic discharge signal, and to perform electrical stimulation according to the dynamic discharge signal to perform sleep modulation. ​

[0064] In the present application, a multi-channel electrode array is adopted to integrate 16 platinum-iridium alloy electrodes (diameter 3 mm) on a flexible silicone substrate (thickness 200 μm), which covers the key points of the 10-20 system (a standardized system for electrode placement) such as Fpz, Cz, Oz, etc. in a spatial distribution. The present application adopts four-channel synchronous acquisition, which is respectively EEG (0.5 Hz-30 Hz), EOG (0.1 Hz-10 Hz), EMG (10 Hz-500 Hz) and PPG (0.5 Hz-5 Hz).

[0065] In the current amplitude calculation unit of the present application, preferably, the current amplitude of the anodal discharge signal is obtained according to the slow wave activity index, including:

[0066] (1);

[0067] wherein, represents the current amplitude of the anodal discharge signal; represents the slow wave activity index, i.e. the first coefficient, unit: mA, i.e. the first constant.

[0068] The slow wave activity index proposed in the present application is a core electrophysiological index for evaluating sleep depth and quality, which is mainly obtained by analyzing the electroencephalogram (EEG) during non-rapid eye movement sleep (NREM). The slow wave activity index of the present application is an index directly obtained according to the electrical stimulation device.

[0069] In the current frequency calculation unit of the present application, the current frequency of the anodal discharge signal is obtained according to the sleep stage, including:

[0070] (2);

[0071] wherein, represents the current frequency of the anodal discharge signal; represents the quantized value of the sleep stage (for example, the value of stage N1 is 1, the value of stage N2 is 2, the value of stage N3 is 3, and the value of stage REM is 4; or a normalized value can also be used); and respectively represent constant coefficients, preferably, the value of is 0.2, unit: Hz, preferably, the value of is 0.5.

[0072] The discharge dynamic adjustment unit of the application needs to combine the real-time state of the blood vessel for accurate control, and the blood vessel grading adopted is shown in Table 1.

[0073] Table 1: Blood vessel grading

[0074]

[0075] In the application, when the blood vessel is in the expansion period and the real-time expansion rate of the blood vessel exceeds the set threshold value, the current frequency change rate of the anode discharge signal is proportional to the difference between the real-time expansion rate of the blood vessel and the set threshold value, and includes:

[0076] (3);

[0077] wherein, represents the current frequency change rate of the anode discharge signal; represents the current frequency of the anode discharge signal; represents a proportional coefficient, and the preferred value in the application is 0.8 Hz / mm; represents the real-time expansion rate of the blood vessel; represents the diastolic diameter of the blood vessel; and the set threshold value is 0.3 mm / s.

[0078] In the application, stability control needs to be performed in the platform period (IIIa / IIIb), and the current amplitude change rate of the anode discharge signal is adaptively adjusted:

[0079] (4);

[0080] wherein, represents a basic time constant (preferably 60 s in the application), represents the maximum diastolic diameter, represents the diastolic diameter at the current time point; t represents the diastolic diameter at the current time point. represents an adaptive decay time parameter.

[0081] In order to verify the effectiveness of the above scheme, the application gives the following exemplary arrangement:

[0082] Anode: Fp1 / Fp2 (front lobe cortex); Cathode: Mastoid (mastoid); Effect verification (20 insomnia patients): sleep latency is shortened from 54.3±12.1 min to 22.7±8.4 min; N3 period accounts for 14.2% and is increased to 21.5%; moreover, through the verification of the above example, the polysomnogram shows that the sleep efficiency is increased by ≥25%; the stimulation artifact suppression ratio is >40 dB (EEG signal quality guarantee); the power consumption of the system is <5 watt hours in 72 hours of continuous work, and the effect is more outstanding.

[0083] In order to further improve the control effect, the application further provides a multi-data coupling control scheme, and the input variables are subjected to standardization processing (i.e. normalization processing), as shown in Table 2.

[0084] Table 2: Standardization results of various input variables

[0085]

[0086] S in Table 2 represents a slow activity index, represents a normalized slow wave activity index, represents a normalized blood vessel stage, represents a normalized skin temperature gradient, represents a normalized sleep stage; represents non-rapid eye movement sleep of a sleep period; represents non-rapid eye movement sleep NREM of a light sleep period; represents non-rapid eye movement sleep of a deep sleep period; represents rapid eye movement sleep.

[0087] Based on the normalized data in Table 2, the application constructs a fusion control scheme, and the current amplitude of the fused anodic discharge signal is :

[0088] (5);

[0089] The constraint condition of formula (5) is:

[0090] (6);

[0091] wherein, , , , respectively represent , , and corresponding weight coefficients, represents skin temperature;

[0092] (7);

[0093] (8);

[0094] (9);

[0095] (10);

[0096] wherein, a weight adjustment coefficient corresponding to the normalized slow wave activity index; a weight adjustment coefficient corresponding to the normalized blood vessel stage; a weight adjustment coefficient corresponding to the normalized skin temperature gradient; a weight adjustment coefficient corresponding to the normalized sleep stage.

[0097] Meanwhile, in order to realize the control of emergency, the present application also proposes a weight resetting scheme under emergency, as shown in Table 3.

[0098] Table 3: weight setting scheme under emergency

[0099]

[0100] It should be noted that when the emergency type in Table 3 occurs, the weight is set according to Table 3, and when other states occur, the scheme according to formula (7)-(10) is set.

[0101] In the present application, in order to realize the association control to improve the stimulation precision, a fuzzy rule base is also constructed, as shown in Table 4.

[0102] Table 4: fuzzy rule base

[0103]

[0104] The present application also proposes a stage adaptive regulation strategy to realize sleep stage specific regulation, which is mainly realized by changing the stimulation waveform, and the specific is shown in Table 5.

[0105] Table 5: stage adaptive regulation strategy

[0106]

[0107] In view of the above scheme, the present application also proposes a safety and efficiency verification method, and a multi-objective optimization function is designed:

[0108] (11);

[0109] Among them, the SWA enhancement rate is quantified by the change rate of power spectral density (0.5Hz-4Hz); the vasodilation efficiency is evaluated by the ratio of blood flow rate integral to baseline; the temperature deviation degree is the standard deviation of skin temperature; A multi-objective optimization function representing the comprehensive evaluation of the safety and effectiveness of transcranial electrical stimulation regulation scheme, which is weighted combination of three indicators of slow wave activity index (SWA) enhancement rate, vasodilation efficiency and temperature deviation degree, the weights are 0.6, 0.3 and-0.1 respectively, quantifies the overall performance of the system in the multi-objective of 'enhancing slow wave activity, promoting vasodilation, controlling temperature deviation', and provides a quantitative basis for scheme optimization.

[0110] Through the above scheme of the application, multi-dimensional parameter fusion is realized, and through dynamic weight distribution and fuzzy rule base, the synergistic regulation of 'SWA-vaso-temperature-sleep stage' is realized, and the system response time is less than 200ms; the'safety-efficiency' balance is realized: the introduction of temperature constraint term and emergency weight reset mechanism reduces the risk of overheating by 83% (p<0.01); it has stage adaptive characteristics: the stimulation frequency adjustment rate of vasodilation phase II can reach 0.4 Hz / s, significantly shortening the platform establishment time (the method of the application is 12.3±2.1s, and the existing traditional method is 18.7±3.5s).

[0111] Figure 2 The closed-loop adaptive transcranial electrical stimulation sleep regulation device provided by the example embodiment of the application is shown, which comprises an anode electrode, a cathode electrode, a discharge signal generator, an electroencephalogram signal acquisition device and a control terminal, the anode electrode is used to be attached to the frontal lobe cortex, the cathode electrode is used to be attached to the mastoid position, the positive terminal of the discharge signal generator is connected with the anode electrode, the negative terminal of the discharge signal generator is connected with the cathode electrode, and the discharge signal generator and the electroencephalogram signal acquisition device are respectively in communication connection with the control terminal.

[0112] The control terminal is configured to perform the following process:

[0113] According to the electroencephalogram signal data collected by the electroencephalogram signal acquisition device, the slow wave activity index and the sleep stage are obtained.

[0114] According to the slow wave activity index, the current amplitude of the anode discharge signal is obtained.

[0115] According to the sleep stage, the current frequency of the anode discharge signal is obtained.

[0116] According to the obtained real-time state of the blood vessels, the current frequency variation rate of the anode discharge signal and the current amplitude variation rate of the anode discharge signal are dynamically adjusted to determine the dynamic discharge signal, and the sleep regulation is performed according to the dynamic discharge signal.

[0117] Figure 3An electronic device provided by an example embodiment of the present application is shown to include a processor, a communication interface, and a computer readable storage medium. The processor, the communication interface, and the computer readable storage medium are connected through a bus or other means.

[0118] The communication interface is configured to receive and send data, the computer readable storage medium can be stored in a memory of the electronic device, the computer readable storage medium is configured to store a computer program, the computer program includes program instructions, and the processor is configured to execute the program instructions stored in the computer readable storage medium.

[0119] The processor is a computing core and a control core of the electronic device, and is configured to implement one or more instructions, and specifically configured to load and execute one or more instructions to implement a corresponding method flow or a corresponding function.

[0120] The processor is configured to execute the following process:

[0121] According to the acquired electroencephalogram data, a slow wave activity index and a sleep stage are obtained;

[0122] According to the slow wave activity index, a current amplitude of the anodal discharge signal is obtained;

[0123] According to the sleep stage, a current frequency of the anodal discharge signal is obtained;

[0124] According to the acquired real-time state of the blood vessels, the current frequency variation rate of the anodal discharge signal and the current amplitude variation rate of the anodal discharge signal are dynamically adjusted to determine a dynamic discharge signal, and the sleep regulation is performed through electrical stimulation according to the dynamic discharge signal.

[0125] The example embodiment of the present application further provides a computer readable storage medium, which is a memory device in the electronic device and is configured to store programs and data. It can be understood that the computer readable storage medium herein can include a built-in storage medium in the electronic device, and of course can include an expansion storage medium supported by the electronic device. The computer readable storage medium provides a storage space, and the storage space stores a processing system of the electronic device.

[0126] In addition, one or more instructions suitable for being loaded and executed by the processor are stored in the storage space, and the instructions can be one or more computer programs (including program codes). It should be noted that the computer readable storage medium herein can be a high-speed RAM memory, or a non-volatile memory such as at least one disk memory; optionally, the computer readable storage medium can be at least one computer readable storage medium located away from the aforementioned processor.

[0127] In one embodiment, the computer readable storage medium stores one or more instructions; the processor loads and executes the one or more instructions stored in the computer readable storage medium to implement the following process:

[0128] According to the acquired electroencephalogram signal data, a slow wave activity index and a sleep stage are obtained;

[0129] According to the slow wave activity index, a current amplitude of the anodal discharge signal is obtained;

[0130] According to the sleep stage, a current frequency of the anodal discharge signal is obtained;

[0131] According to the acquired real-time state of blood vessels, a current frequency variation rate of the anodal discharge signal and a current amplitude variation rate of the anodal discharge signal are dynamically adjusted to determine a dynamic discharge signal, and the sleep is regulated by electric stimulation according to the dynamic discharge signal.

[0132] The embodiment of the present application also provides a computer program product or a computer program, which comprises computer instructions stored in a computer readable storage medium. The processor of the electronic device reads the computer instructions from the computer readable storage medium, and the processor executes the computer instructions, so that the electronic device executes the following process:

[0133] According to the acquired electroencephalogram signal data, a slow wave activity index and a sleep stage are obtained;

[0134] According to the slow wave activity index, a current amplitude of the anodal discharge signal is obtained;

[0135] According to the sleep stage, a current frequency of the anodal discharge signal is obtained;

[0136] According to the acquired real-time state of blood vessels, a current frequency variation rate of the anodal discharge signal and a current amplitude variation rate of the anodal discharge signal are dynamically adjusted to determine a dynamic discharge signal, and the sleep is regulated by electric stimulation according to the dynamic discharge signal.

[0137] Those skilled in the art can be aware that units and algorithm steps of each example described in combination with the embodiments disclosed in the present application can be implemented by electronic hardware or a combination of computer software and electronic hardware. Whether the functions are implemented in hardware or software depends on specific application and design constraints of the technical solution. Those skilled in the art can use different methods to implement the described functions for each specific application, but such implementation should not be considered beyond the scope of the present application.

[0138] In the above embodiments, all or part of the embodiments can be implemented by software, hardware, firmware or any combination thereof. When implemented by software, all or part of the embodiments can be implemented in the form of a computer program product. The computer program product includes one or more computer instructions. When the computer program instructions are loaded and executed on a computer, all or part of the processes or functions according to the embodiments of the present application are generated. The computer can be a general purpose computer, a special purpose computer, a computer network, or other programmable devices. The computer instructions can be stored in or transmitted by a computer readable storage medium. The computer instructions can be transmitted from one website, computer, server or data center to another website, computer, server or data center through a wired (for example, coaxial cable, optical fiber, digital line) or wireless (for example, infrared, wireless, microwave, etc.) manner. The computer readable storage medium can be any available medium that can be accessed by a computer or a data processing device such as a server, data center, etc. integrated with one or more available media. The available media can be magnetic media (for example, floppy disk, hard disk, magnetic tape), optical media, or semiconductor media (for example, solid state disk) and the like.

[0139] The above merely illustrates the preferred embodiments of the present application, but is not intended to limit the present application. Any modification, equivalent replacement, improvement, etc. within the spirit and principle of the present application shall be included in the protection scope of the present application.

Claims

1. A closed-loop adaptive transcranial electrical stimulation sleep modulation system, comprising: The system comprises: a brain electrical signal processing unit configured to obtain a slow wave activity index and a sleep stage according to acquired brain electrical signal data; a current amplitude calculation unit configured to obtain a current amplitude of an anodal discharge signal according to the slow wave activity index; a current frequency calculation unit configured to obtain a current frequency of the anodal discharge signal according to the sleep stage; a discharge dynamic adjustment unit configured to dynamically adjust a current frequency variation rate of the anodal discharge signal and a current amplitude variation rate of the anodal discharge signal according to an acquired real-time state of blood vessels to determine a dynamic discharge signal, and perform electrical stimulation according to the dynamic discharge signal to perform sleep regulation; in the discharge dynamic adjustment unit, the current frequency variation rate of the anodal discharge signal is dynamically adjusted, including: when the blood vessels are in a dilation period and a real-time dilation rate of the blood vessels exceeds a set threshold, calculating a difference between the real-time dilation rate of the blood vessels and the set threshold, and the current frequency variation rate of the anodal discharge signal is in a positive proportional relationship with the difference; in the discharge dynamic adjustment unit, the current amplitude variation rate of the anodal discharge signal is dynamically adjusted, including: When the blood vessel is in the plateau stage, the amplitude decay rate is adjusted by combining the difference between the maximum diastolic diameter of the blood vessel and the current diastolic diameter, so that the amplitude decay of the electric stimulation matches the diastolic state of the blood vessel, and the current amplitude change rate of the anode discharge signal is adaptively adjusted, and the formula is: wherein, represents an adaptive decay time parameter; represents a basic time constant; represents a maximum diastolic diameter; represents a current diastolic diameter at a current time .

2. The closed-loop adaptive transcranial electrical stimulation sleep regulation system according to claim 1, wherein in the current amplitude calculation unit, the current amplitude of the anodal discharge signal is a product of the slow wave activity index and a first coefficient, and a sum of the product and a first constant.

3. The closed-loop adaptive transcranial electrical stimulation sleep regulation system according to claim 1, wherein The current frequency calculation unit, according to the sleep stage, obtains the current frequency of the anode discharge signal, comprising: wherein, represents the current frequency of the anode discharge signal; represents the quantized value of the sleep stage; and all represent constant coefficients.

4. The closed-loop adaptive transcranial electrical stimulation sleep regulation system according to any one of claims 1-3, wherein in the discharge dynamic adjustment unit, when the sleep is in a deep sleep period of non-rapid eye movement sleep, the anodal discharge signal adopts a synchronous square wave; when the sleep is in a rapid eye movement sleep period, the anodal discharge signal adopts a random intermittent pulse; and when the sleep is in a wake period, the anodal discharge signal adopts a biphasic pulse.

5. A closed-loop adaptive transcranial electrical stimulation sleep modulation device, comprising: The closed-loop adaptive transcranial electrical stimulation sleep regulation system as claimed in claim 1 is provided, comprising: an anode electrode, a cathode electrode, a discharge signal generator, a brain electrical signal acquisition device, and a control terminal, the anode electrode is used to be attached to the frontal lobe cortex, the cathode electrode is used to be attached to the mastoid position, the positive terminal of the discharge signal generator is connected with the anode electrode, the negative terminal of the discharge signal generator is connected with the cathode electrode, the discharge signal generator and the brain electrical signal acquisition device are respectively in communication connection with the control terminal; the control terminal is configured to perform the following processes: obtaining a slow wave activity index and a sleep stage according to brain electrical signal data collected by the brain electrical signal acquisition device; obtaining a current amplitude of an anodal discharge signal according to the slow wave activity index; obtaining a current frequency of the anodal discharge signal according to the sleep stage; dynamically adjusting a current frequency variation rate of the anodal discharge signal and a current amplitude variation rate of the anodal discharge signal according to an acquired real-time state of blood vessels to determine a dynamic discharge signal, and performing electrical stimulation according to the dynamic discharge signal to perform sleep regulation.

6. A computer device, comprising: The system comprises: a processor and a computer readable storage medium; a processor adapted to execute a computer program; a computer readable storage medium having stored therein a computer program which, when executed by the processor, implements the following processes of the closed-loop adaptive transcranial electrical stimulation sleep modulation system as claimed in claim 1: obtaining a slow wave activity index and a sleep stage according to acquired electroencephalogram data; obtaining a current amplitude of the anodal discharge signal according to the slow wave activity index; obtaining a current frequency of the anodal discharge signal according to the sleep stage; dynamically adjusting a current frequency variation rate of the anodal discharge signal and a current amplitude variation rate of the anodal discharge signal to determine a dynamic discharge signal according to the real-time state of the blood vessels, and performing electrical stimulation according to the dynamic discharge signal to perform sleep modulation.

7. A computer-readable storage medium, characterized in that, the computer readable storage medium stores a computer program which is adapted to be loaded and executed by the processor to implement the following processes of the closed-loop adaptive transcranial electrical stimulation sleep modulation system as claimed in claim 1: obtaining a slow wave activity index and a sleep stage according to acquired electroencephalogram data; obtaining a current amplitude of the anodal discharge signal according to the slow wave activity index; obtaining a current frequency of the anodal discharge signal according to the sleep stage; dynamically adjusting a current frequency variation rate of the anodal discharge signal and a current amplitude variation rate of the anodal discharge signal to determine a dynamic discharge signal according to the real-time state of the blood vessels, and performing electrical stimulation according to the dynamic discharge signal to perform sleep modulation.

8. A computer program product, characterised in that, the computer program product comprises a computer program which, when executed by the processor, implements the following processes of the closed-loop adaptive transcranial electrical stimulation sleep modulation system as claimed in claim 1: obtaining a slow wave activity index and a sleep stage according to acquired electroencephalogram data; obtaining a current amplitude of the anodal discharge signal according to the slow wave activity index; obtaining a current frequency of the anodal discharge signal according to the sleep stage; dynamically adjusting a current frequency variation rate of the anodal discharge signal and a current amplitude variation rate of the anodal discharge signal to determine a dynamic discharge signal according to the real-time state of the blood vessels, and performing electrical stimulation according to the dynamic discharge signal to perform sleep modulation.

Images