Closed-loop self-adaptive transcranial electrical stimulation sleep regulation and control system and device

By using a closed-loop adaptive transcranial electrical stimulation system, the current parameters are dynamically adjusted based on EEG signals and vascular status, solving the problem of inaccurate sleep regulation in traditional transcranial electrical stimulation techniques. This enables precise regulation of different sleep stages, improving sleep quality and regulation effectiveness.

CN120860424AActive Publication Date: 2025-10-31SHANDONG FIRST MEDICAL UNIV & SHANDONG ACADEMY OF MEDICAL SCI
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Patent Information

Application Number
CN202511376837.0
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2025-09-25
Publication Date
2025-10-31
Estimated Expiration
2045-09-25

AI Technical Summary

Technical Problem

Traditional transcranial electrical stimulation (TCS) techniques cannot adaptively adjust parameters according to the dynamic changes in brain electrical activity during the sleep cycle, resulting in insufficient stimulation during the non-rapid eye movement (NREM) phase or disruption of the neural oscillation pattern during the REM phase, thus affecting sleep quality.

Method used

A closed-loop adaptive transcranial electrical stimulation system is adopted. The slow wave activity index and sleep stage are obtained through the EEG signal processing unit. Combined with the real-time vascular status, the current frequency and amplitude change rate of the anodic discharge signal are dynamically adjusted to generate dynamic discharge signals for electrical stimulation to achieve precise sleep regulation.

Benefits of technology

It achieves precise control over different sleep stages, improves sleep quality and the real-time and targeted nature of the control, reduces arousal reactions and dream abnormalities, and enhances the adaptability and precision of electrical stimulation.

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Abstract

The invention belongs to the technical field of sleep monitoring. According to the closed-loop self-adaptive transcranial electrical stimulation sleep regulation and control system and device, a slow wave activity index and a sleep stage are obtained according to obtained electroencephalogram signal data; obtaining the current amplitude of the anode discharge signal according to the slow wave activity index; obtaining the current frequency of the anode discharge signal according to the sleep stage; according to the obtained real-time state of the blood vessel, the current frequency change rate of the anode discharge signal and the current amplitude change rate of the anode discharge signal are dynamically adjusted to determine a dynamic discharge signal, and according to the dynamic discharge signal, electrical stimulation is carried out to carry out sleep regulation and control. Precise control over transcranial electrical stimulation sleep regulation and control is achieved, and the remarkable sleep treatment effect is achieved.
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Description

Technical Field

[0001] This invention relates to the field of sleep monitoring technology, specifically to a closed-loop adaptive transcranial electrical stimulation sleep regulation system and device. Background Technology

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

[0003] Transcranial electrical stimulation techniques, such as tDCS (transcranial Direct Current Stimulation) and CES (cranial Electrotherapy Stimulator), have been widely used as non-invasive neuromodulation methods in the treatment of neuropsychiatric disorders such as sleep disorders and depression. Traditional tDCS modulates cortical excitability through a constant current (0.5mA–2mA), while CES relies on microcurrent stimulation with fixed parameters.

[0004] However, traditional tDCS uses fixed current signals for stimulation (fixed amplitude and frequency), which cannot adaptively adjust parameters according to the dynamic changes in EEG activity during the sleep cycle (such as increased delta wave power during non-rapid eye movement (NREM) and theta wave dominance during rapid eye movement (REM)). This "one-size-fits-all" stimulation strategy may lead to insufficient stimulation during NREM. As sleep deepens, the cortical excitability demand decreases, and the fixed current may cause neuronal over-excitation, interfering with slow-wave sleep structure. During REM sleep (i.e., rapid eye movement sleep), the EEG shows low-amplitude fast waves, and the fixed current may disrupt the neural oscillation pattern unique to REM sleep, inducing abnormal dreams or arousal responses. Open-loop CES devices usually operate independently of the EEG monitoring module. EEG signals reveal millisecond-level neuronal cluster activity, and the fixed stimulation frequency of traditional CES (such as 30 minutes / time) cannot match the transient changes in EEG, easily missing key intervention windows (such as when sleep spindles appear). Summary of the Invention

[0005] To address the shortcomings of existing technologies, this invention provides a closed-loop adaptive transcranial electrical stimulation sleep regulation system and device. Based on the acquired real-time vascular status, the system dynamically adjusts the rate of change of the current frequency and the rate of change of the current amplitude of the anodic discharge signal to determine the dynamic discharge signal. Electrical stimulation is then performed based on the dynamic discharge signal to regulate sleep, thus achieving precise control of transcranial electrical stimulation sleep regulation.

[0006] To achieve the above objectives, the present invention adopts the following technical solution: In a first aspect, the present invention provides a closed-loop adaptive transcranial electrical stimulation sleep regulation system.

[0007] A closed-loop adaptive transcranial electrical stimulation sleep regulation system includes: The EEG signal processing unit is configured to: obtain the slow wave activity index and sleep stage based on the acquired EEG signal data; The current amplitude calculation unit is configured to obtain the current amplitude of the anodic discharge signal based on the slow wave activity index. The current frequency calculation unit is configured to obtain the current frequency of the anode discharge signal based on the sleep stage. The discharge dynamic adjustment unit is configured to: dynamically adjust the rate of change of the current frequency and the rate of change of the current amplitude of the anodic discharge signal according to the acquired real-time vascular status to determine the dynamic discharge signal, and perform electrical stimulation according to the dynamic discharge signal to regulate sleep.

[0008] In one implementation of the first aspect of the present invention, in the current amplitude calculation unit, the current amplitude of the anode discharge signal is: the product of the slow wave activity index and the first coefficient, and the sum of the product and the first constant.

[0009] In one implementation of the first aspect of the present invention, the current frequency calculation unit obtains the current frequency of the anode discharge signal based on the sleep stage, including: ,in, The current frequency representing the anode discharge signal; Quantitative values ​​representing sleep stages; and All of these represent constant coefficients.

[0010] In one implementation of the first aspect of the present invention, the discharge dynamic adjustment unit dynamically adjusts the rate of change of the current frequency of the anode discharge signal, including: When the blood vessel is in the dilation phase and the real-time dilation rate of the blood vessel exceeds the set threshold, the difference between the real-time dilation rate of the blood vessel and the set threshold is calculated. The rate of change of the current frequency of the anodic discharge signal is directly proportional to the difference.

[0011] In one implementation of the first aspect of the present invention, the discharge dynamic adjustment unit dynamically adjusts the rate of change of the current amplitude of the anode discharge signal, including: When the blood vessel is in the plateau phase, the rate of change of the current amplitude of the anodic discharge signal is: ,in, The rate of change of the current amplitude representing the anodic discharge signal; Represents the fundamental time constant; Represents the maximum diastolic diameter; Represents the current moment The diastolic diameter.

[0012] 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.

[0013] Secondly, the present invention provides a closed-loop adaptive transcranial electrical stimulation sleep regulation device.

[0014] 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. The control terminal is configured to execute the following procedure: Based on the EEG signal data collected by the EEG signal acquisition device, the slow wave activity index and sleep stage are obtained; The current amplitude of the anodic discharge signal is obtained based on the slow wave activity index. Based on the sleep stage, the current frequency of the anode discharge signal is obtained; 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.

[0015] Thirdly, the present invention provides a computer device, comprising: a processor and a computer-readable storage medium; A processor, adapted to execute computer programs; A computer-readable storage medium storing a computer program, which, when executed by a processor, performs the following processes: Based on the acquired EEG signal data, the slow wave activity index and sleep stage are obtained; The current amplitude of the anodic discharge signal is obtained based on the slow wave activity index. Based on the sleep stage, the current frequency of the anode discharge signal is obtained; 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.

[0016] Fourthly, the present invention provides a computer-readable storage medium storing a computer program adapted to be loaded by a processor and executed as follows: Based on the acquired EEG signal data, the slow wave activity index and sleep stage are obtained; The current amplitude of the anodic discharge signal is obtained based on the slow wave activity index. Based on the sleep stage, the current frequency of the anode discharge signal is obtained; 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.

[0017] Fifthly, the present invention provides a computer program product, which includes a computer program that, when executed by a processor, performs the following process: Based on the acquired EEG signal data, the slow wave activity index and sleep stage are obtained; The current amplitude of the anodic discharge signal is obtained based on the slow wave activity index. Based on the sleep stage, the current frequency of the anode discharge signal is obtained; 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.

[0018] Compared with the prior art, the beneficial effects of the present invention are: This invention innovatively proposes a closed-loop adaptive transcranial electrical stimulation sleep regulation system. Based on the real-time state of the acquired blood vessels, the system dynamically adjusts the rate of change of the current frequency and the rate of change of the current amplitude of the anodic discharge signal to determine the dynamic discharge signal. Electrical stimulation is then performed based on the dynamic discharge signal to regulate sleep, thus achieving precise control of transcranial electrical stimulation sleep regulation.

[0019] This invention obtains slow-wave activity index and sleep stage by acquiring EEG signals, and then combines them with real-time vascular status to dynamically adjust the rate of change of current frequency and amplitude of anodic discharge signal to generate dynamic discharge signal. Based on real-time monitoring of EEG and sleep stage, the electrical stimulation parameters are initially adapted, and then the change process of stimulation parameters is further dynamically optimized by vascular status, so that the electrical stimulation can be adapted to the changes of sleep state and vascular state in real time, thereby accurately regulating sleep and improving the real-time and targeted nature of regulation.

[0020] This invention defines the current amplitude of the anodic discharge signal as the product of the slow-wave activity index and a first coefficient plus a first constant, directly quantifying the slow-wave activity characteristics of EEG into the amplitude parameter of electrical stimulation. This allows the amplitude to reflect the strength of slow-wave activity, thereby precisely adjusting the stimulation intensity based on the real-time status of slow-wave activity and enhancing the regulation effect on sleep.

[0021] This invention converts sleep stages into electrical frequencies, with different frequencies corresponding to different sleep stages. This allows the frequency of electrical stimulation to be adapted to the physiological characteristics of sleep stages (such as the brain electrical patterns of deep sleep and REM sleep), thereby specifically regulating sleep.

[0022] When the blood vessel is in the dilation phase and the real-time dilation rate exceeds the set threshold, the rate of change of the current frequency is proportional to the difference between the real-time dilation rate of the blood vessel and the set threshold. By using the dynamic change of the blood vessel dilation rate to adjust the rate of change of the current frequency, the electrical stimulation can respond sensitively to the dynamic state of the blood vessel, further optimize the dynamic adaptability of the stimulation, and improve the precision of the regulation.

[0023] When the blood vessel is in the plateau phase, the amplitude decay rate is adjusted by combining the 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. When the blood vessel is stable (plateau phase), the stability and adaptability of the stimulation are guaranteed.

[0024] Based on different sleep stages (non-rapid eye movement sleep, deep sleep, rapid eye movement sleep, and wakefulness), synchronous square waves, random intermittent pulses, and biphasic pulses are used respectively. The EEG and physiological state differ in different sleep stages, and the targeted pulse form can match the physiological needs of each stage (such as enhancing slow waves in deep sleep, adapting to EEG activity in rapid eye movement sleep, and regulating wakefulness in wakefulness), thereby improving the regulation effect of each sleep stage.

[0025] Advantages of additional aspects of the invention will be set forth in part in the description which follows, and in part will be obvious from the description, or may be learned by practice of the invention. Attached Figure Description

[0026] The accompanying drawings, which form part of this invention, are used to provide a further understanding of the invention. The illustrative embodiments of the invention and their descriptions are used to explain the invention and do not constitute an improper limitation of the invention.

[0027] Figure 1 A schematic diagram of a closed-loop adaptive transcranial electrical stimulation sleep regulation system provided as an exemplary embodiment of the present invention; Figure 2 A schematic diagram of a closed-loop adaptive transcranial electrical stimulation sleep regulation device provided as an exemplary embodiment of the present invention; Figure 3A schematic diagram of a computer device provided for an exemplary embodiment of the present invention. Detailed Implementation

[0028] The present invention will be further described below with reference to the accompanying drawings and embodiments.

[0029] It should be noted that the following detailed descriptions are exemplary and intended to provide further illustration of the invention. Unless otherwise specified, 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 invention pertains.

[0030] This invention proposes a closed-loop adaptive transcranial electrical stimulation sleep regulation system, with the anode applied to the prefrontal cortex (the region at the very front of the frontal lobe of the brain) and the cathode applied to the mastoid process (a bony prominence located behind the ear, below the temporal bone of the skull). Figure 1 As shown, it includes: The EEG signal processing unit is configured to: obtain the slow wave activity index and sleep stage based on the acquired EEG signal data; The current amplitude calculation unit is configured to obtain the current amplitude of the anodic discharge signal based on the slow wave activity index. The current frequency calculation unit is configured to obtain the current frequency of the anode discharge signal based on the sleep stage. The discharge dynamic adjustment unit is configured to: dynamically adjust the rate of change of the current frequency and the rate of change of the current amplitude of the anodic discharge signal according to the acquired real-time vascular status to determine the dynamic discharge signal, and perform electrical stimulation according to the dynamic discharge signal to regulate sleep.

[0031] In this invention, a multi-channel electrode array is used, integrating 16 platinum-iridium alloy electrodes (3mm in diameter) on a flexible silicone substrate (200μm thick). The spatial distribution covers key sites of the 10-20 system (standardized system for electrode placement), including Fpz, Cz, and Oz. This invention uses four channels for synchronous acquisition: EEG (0.5Hz~30Hz), EOG (0.1Hz~10Hz), EMG (10Hz~500Hz), and PPG (0.5Hz~5Hz).

[0032] In the current amplitude calculation unit of the present invention, preferably, obtaining the current amplitude of the anodic discharge signal based on the slow wave activity index includes: (1); in, The current amplitude representing the anode discharge signal; Represents the slow wave activity index, That is, the first coefficient. That is, the first constant.

[0033] The slow-wave activity index proposed in this invention The slow-wave activity index is a core electrophysiological indicator for assessing sleep depth and quality, primarily derived by analyzing electroencephalogram (EEG) signals during non-rapid eye movement (NREM) sleep. These are indicators obtained directly from the electrical stimulation device.

[0034] In the current frequency calculation unit of the present invention, the current frequency of the anode discharge signal is obtained according to the sleep stage, including: (2); in, The current frequency representing the anode discharge signal; A quantitative value representing a sleep stage (e.g., stage N1 would take a value of...). 1. In stage N2, the value is... 2. In stage N3, the value is... 3. The REM value for the stage is... 4; or normalized values ​​can also be used). and They represent constant coefficients, The preferred value is 0.2. The preferred value is 0.5.

[0035] In the discharge dynamic adjustment unit of the present invention, precise control is required in combination with the real-time status of blood vessels, and the blood vessel classification used is shown in Table 1.

[0036] Table 1: Vascular Grading

[0037] In this invention, when the blood vessel is in the dilation phase and the real-time dilation rate exceeds a set threshold, the rate of change of the current frequency of the anodic discharge signal is proportional to the difference between the real-time dilation rate and the set threshold, including: (3); in, The rate of change of the current frequency representing the anodic discharge signal; The current frequency representing the anode discharge signal; The representative proportionality coefficient is preferably 0.8 Hz / (mm / s) in this invention; Represents the real-time rate of vascular dilation; This represents the vasodilatory diameter; the threshold is set at 0.3 mm / s.

[0038] In this invention, stability control is required during the plateau period (IIIa / IIIb), and the rate of change of the current amplitude of the anodic discharge signal is adaptively adjusted: (4); in, This represents the basic time constant (preferably 60s in this invention). Represents the maximum diastolic diameter. Represents the current moment t diastolic diameter; The rate of change of the current amplitude representing the anodic discharge signal.

[0039] To verify the effectiveness of the above solution, the present invention provides the following exemplary arrangement: Anode: Fp1 / Fp2 (prefrontal cortex); Cathode: Mastoid; Efficacy verification (20 insomnia patients): Sleep latency decreased from 54.3±12.1 min to 22.7±8.4 min; the proportion of N3 stage increased from 14.2% to 21.5%; moreover, through the above examples, polysomnography showed an improvement in sleep efficiency of ≥25%; stimulus artifact suppression ratio >40dB (EEG signal quality assurance); the system's power consumption was <5 watt-hours after 72 hours of continuous operation, demonstrating a significant effect.

[0040] To further improve the control effect, this invention also proposes a multi-data coupling control scheme, which standardizes (i.e. normalizes) the input variables, as shown in Table 2.

[0041] Table 2: Standardization results for each input variable

[0042] In Table 2, S represents the slow activity index. Represents the normalized slow-wave activity index. Represents the normalized vascular phase. Represents the normalized skin temperature gradient. Represents the normalized sleep stage; Represents non-rapid eye movement sleep The sleep-on period; This represents the light sleep stage of non-rapid eye movement (NREM) sleep; Represents non-rapid eye movement sleep Deep sleep; This represents REM sleep.

[0043] Based on the normalized data in Table 2, this invention constructs a fusion control scheme, and the current amplitude of the fused anode discharge signal is... for: (5); The constraints of formula (5) are: (6); in, , , , Represent , , and The corresponding weighting coefficients, Represents skin temperature; (7); (8); (9); (10); in, This represents the weight adjustment coefficient corresponding to the normalized vascular stage; The weight adjustment coefficients represent the normalized skin temperature gradient. This represents the weight adjustment coefficient corresponding to the normalized vascular stage; This represents the weight adjustment coefficient corresponding to the normalized sleep stage.

[0044] In addition, in order to control emergency situations, this invention also proposes a weight resetting scheme under emergency events, as shown in Table 3.

[0045] Table 3: Weighting Scheme in Emergency Situations

[0046] It should be noted that when the emergency events listed in Table 3 occur, the weights are set according to Table 3, and in other states, they are set according to the scheme of formula (7)-(10).

[0047] In this invention, in order to achieve association control and improve stimulus accuracy, a fuzzy rule base was also constructed, as shown in Table 4.

[0048] Table 4: Fuzzy Rule Base

[0049] This invention also proposes a stage-adaptive regulation strategy to achieve stage-specific regulation of sleep, which is mainly achieved by changing the stimulation waveform, as shown in Table 5.

[0050] Table 5: Stage-Adaptive Control Strategy

[0051] In view of the above scheme, this invention also proposes a safety and performance verification method, and designs a multi-objective optimization function: (11); Among them, the SWA enhancement rate was quantified by the change rate of power spectral density (0.5Hz~4Hz); the vasodilatory efficiency was assessed by the ratio of the blood flow rate integral to the baseline; and the temperature deviation was the standard deviation of skin temperature. This represents a multi-objective optimization function used to comprehensively evaluate the safety and efficacy of transcranial electrical stimulation (TCS) modulation schemes. It quantifies the overall performance of the system under multiple objectives of "enhancing slow wave activity (SWA), promoting vasodilation, and controlling temperature deviation" by weighting three indicators: slow wave activity index (SWA) enhancement rate, vasodilation efficiency, and temperature deviation, with weights of 0.6, 0.3, and -0.1, respectively, providing a quantitative basis for scheme optimization.

[0052] The above-described scheme of this invention achieves multi-dimensional parameter fusion, and realizes coordinated regulation of "SWA-vascular-temperature-sleep stage" through dynamic weight allocation and fuzzy rule base, with a system response time of <200ms; it achieves a balance between "safety and efficiency": by introducing a temperature constraint term and an emergency weight reset mechanism, the risk of overheating is reduced by 83% (p<0.01); it has stage adaptive characteristics: the frequency adjustment rate of vasodilation phase II stimulation can reach 0.4 Hz / s, which significantly shortens the plateau establishment time (12.3±2.1s in the method of this invention, 18.7±3.5s in the existing traditional method).

[0053] Figure 2 An exemplary embodiment of the present invention is shown, comprising: 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 communicatively connected to the control terminal. The control terminal is configured to execute the following procedure: Based on the EEG signal data collected by the EEG signal acquisition device, the slow wave activity index and sleep stage are obtained; The current amplitude of the anodic discharge signal is obtained based on the slow wave activity index. Based on the sleep stage, the current frequency of the anode discharge signal is obtained; 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.

[0054] Figure 3An exemplary embodiment of the present invention is illustrated, providing an electronic device including a processor, a communication interface, and a computer-readable storage medium. The processor, communication interface, and computer-readable storage medium are connected via a bus or other means.

[0055] The communication interface is used to receive and send data. The computer-readable storage medium can be stored in the memory of the electronic device. The computer-readable storage medium is used to store computer programs, which include program instructions. The processor is used to execute the program instructions stored in the computer-readable storage medium.

[0056] A processor is the computing and control core of an electronic device. It is suitable for implementing one or more instructions, specifically for loading and executing one or more instructions to achieve the corresponding method flow or function.

[0057] The processor is configured to perform the following procedure: Based on the acquired EEG signal data, the slow wave activity index and sleep stage are obtained; The current amplitude of the anodic discharge signal is obtained based on the slow wave activity index. Based on the sleep stage, the current frequency of the anode discharge signal is obtained; 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.

[0058] This invention also provides a computer-readable storage medium, which is a memory device in an electronic device for storing programs and data. It is understood that the computer-readable storage medium here may include both built-in storage media in the electronic device and extended storage media supported by the electronic device. The computer-readable storage medium provides storage space for storing the processing system of the electronic device.

[0059] Furthermore, this storage space also contains one or more instructions suitable for loading and execution by the processor. These instructions can be one or more computer programs (including program code). It should be noted that the computer-readable storage medium here can be high-speed RAM memory or unstable memory, such as at least one disk storage device; optionally, it can also be at least one computer-readable storage medium located remotely from the aforementioned processor.

[0060] 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 perform the following process: Based on the acquired EEG signal data, the slow wave activity index and sleep stage are obtained; The current amplitude of the anodic discharge signal is obtained based on the slow wave activity index. Based on the sleep stage, the current frequency of the anode discharge signal is obtained; 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.

[0061] This invention also provides a computer program product or computer program, which includes computer instructions stored in a computer-readable storage medium. A processor of an electronic device reads the computer instructions from the computer-readable storage medium and executes the computer instructions, causing the electronic device to perform the following process: Based on the acquired EEG signal data, the slow wave activity index and sleep stage are obtained; The current amplitude of the anodic discharge signal is obtained based on the slow wave activity index. Based on the sleep stage, the current frequency of the anode discharge signal is obtained; 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.

[0062] Those skilled in the art will recognize that the units and algorithm steps of the various examples described in conjunction with the embodiments disclosed in this invention can be implemented in electronic hardware, or a combination of computer software and electronic hardware. Whether these functions are implemented in hardware or software depends on the specific application and design constraints of the technical solution. Those skilled in the art can implement the described functions using different methods for each specific application, but such implementations should not be considered beyond the scope of this invention.

[0063] In the above embodiments, implementation can be achieved, in whole or in part, through software, hardware, firmware, or any combination thereof. When implemented in software, it can be implemented, in whole or in part, as a computer program product. A 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 flow or function according to the embodiments of the present invention is generated. The computer can be a general-purpose computer, a special-purpose computer, a computer network, or other programmable device. The computer instructions can be stored in or transmitted through 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 via wired (e.g., coaxial cable, fiber optic cable, digital cable) or wireless (e.g., infrared, wireless, microwave, etc.). The computer-readable storage medium can be any available medium that a computer can access or a data processing device such as a server or data center that integrates one or more available media. The available medium can be a magnetic medium (e.g., floppy disk, hard disk, magnetic tape), an optical medium, or a semiconductor medium (e.g., solid-state drive), etc.

[0064] The above description is merely a preferred embodiment of the present invention and is not intended to limit the invention. Various modifications and variations can be made to the present invention by those skilled in the art. Any modifications, equivalent substitutions, improvements, etc., made within the spirit and principles of the present invention should be included within the scope of protection of the present invention.

Claims

1. A closed-loop adaptive transcranial electrical stimulation sleep regulation system, characterized in that, include: The EEG signal processing unit is configured to: obtain the slow wave activity index and sleep stage based on the acquired EEG signal data; The current amplitude calculation unit is configured to: obtain the current amplitude of the anodic discharge signal based on the slow wave activity index; The current frequency calculation unit is configured to: obtain the current frequency of the anode discharge signal based on the sleep stage; The discharge dynamic adjustment unit is configured to: dynamically adjust the rate of change of the current frequency and the rate of change of the current amplitude of the anodic discharge signal according to the acquired real-time vascular status to determine the dynamic discharge signal, and perform electrical stimulation according to the dynamic discharge signal to regulate sleep.

2. The closed-loop adaptive transcranial electrical stimulation sleep regulation system as described in claim 1, characterized in that, In the current amplitude calculation unit, the current amplitude of the anode discharge signal is: the product of the slow wave activity index and the first coefficient, and the sum of the product and the first constant.

3. The closed-loop adaptive transcranial electrical stimulation sleep regulation system as described in claim 1, characterized in that, The current frequency calculation unit obtains the current frequency of the anode discharge signal based on the sleep stage, including: ,in, The current frequency representing the anode discharge signal; Quantitative values ​​representing sleep stages; and All of these represent constant coefficients.

4. The closed-loop adaptive transcranial electrical stimulation sleep regulation system as described in any one of claims 1-3, characterized in that, The discharge dynamic adjustment unit dynamically adjusts the rate of change of the current frequency of the anode discharge signal, including: When the blood vessel is in the dilation phase and the real-time dilation rate of the blood vessel exceeds a set threshold, the difference between the real-time dilation rate of the blood vessel and the set threshold is calculated. The rate of change of the current frequency of the anodic discharge signal is directly proportional to the difference.

5. The closed-loop adaptive transcranial electrical stimulation sleep regulation system as described in any one of claims 1-3, characterized in that, The discharge dynamic adjustment unit dynamically adjusts the rate of change of the current amplitude of the anode discharge signal, including: When the blood vessel is in the plateau phase, the rate of change of the current amplitude of the anodic discharge signal is: ,in, The rate of change of the current amplitude representing the anodic discharge signal; Represents the fundamental time constant; Represents the maximum diastolic diameter; Represents the current moment The diastolic diameter.

6. The closed-loop adaptive transcranial electrical stimulation sleep regulation system as described in any one of claims 1-3, characterized in that, 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.

7. A closed-loop adaptive transcranial electrical stimulation sleep regulation device, Its features are, include: The 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 communicatively connected to the control terminal. The control terminal is configured to perform the following process: Based on the EEG signal data collected by the EEG signal acquisition device, the slow wave activity index and sleep stage are obtained; The current amplitude of the anodic discharge signal is obtained based on the slow wave activity index. Based on the sleep stage, the current frequency of the anode discharge signal is obtained; Based on the acquired real-time vascular status, 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, and electrical stimulation is performed based on the dynamic discharge signal to regulate sleep.

8. A computer device, characterized in that, include: Processor and computer-readable storage media; A processor, adapted to execute computer programs; A computer-readable storage medium storing a computer program, which, when executed by the processor, performs the following process: Based on the acquired EEG signal data, the slow wave activity index and sleep stage are obtained; The current amplitude of the anodic discharge signal is obtained based on the slow wave activity index. Based on the sleep stage, the current frequency of the anode discharge signal is obtained; Based on the acquired real-time vascular status, 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, and electrical stimulation is performed based on the dynamic discharge signal to regulate sleep.

9. A computer-readable storage medium, characterized in that, The computer-readable storage medium stores a computer program adapted to be loaded by a processor and executed as follows: Based on the acquired EEG signal data, the slow wave activity index and sleep stage are obtained; The current amplitude of the anodic discharge signal is obtained based on the slow wave activity index. Based on the sleep stage, the current frequency of the anode discharge signal is obtained; Based on the acquired real-time vascular status, 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, and electrical stimulation is performed based on the dynamic discharge signal to regulate sleep.

10. A computer program product, characterized in that, The computer program product includes a computer program, which, when executed by a processor, performs the following process: Based on the acquired EEG signal data, the slow wave activity index and sleep stage are obtained; The current amplitude of the anodic discharge signal is obtained based on the slow wave activity index. Based on the sleep stage, the current frequency of the anode discharge signal is obtained; Based on the acquired real-time vascular status, 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, and electrical stimulation is performed based on the dynamic discharge signal to regulate sleep.

Citation Information

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