Closed-loop noninvasive nerve regulation and control system based on electroencephalogram and time domain interference electrical stimulation

Abstract

The invention discloses a closed-loop noninvasive nerve regulation and control system based on electroencephalogram and time domain interference electrical stimulation, and the system comprises an upper computer which is used for generating an electroencephalogram signal collection instruction and transmitting the electroencephalogram signal collection instruction to a lower computer; the lower computer is used for responding to the electroencephalogram signal acquisition instruction, acquiring a high-resolution electroencephalogram signal of the target object in a preset period and sending the high-resolution electroencephalogram signal to the upper computer; the upper computer is also used for positioning a to-be-regulated brain region of the target object according to the received high-resolution electroencephalogram signal and the magnetic resonance imaging data of the target object, acquiring stimulation parameters of time domain interference electrical stimulation of the to-be-regulated brain region, and issuing the stimulation parameters to the lower computer; and the lower computer is also used for performing transcranial time domain interference electrical stimulation on the target object according to the received stimulation parameters, and when the electrical stimulation duration reaches a preset threshold value, continuing to collect the high-resolution electroencephalogram signal and sending the high-resolution electroencephalogram signal to the upper computer so as to realize closed-loop noninvasive nerve regulation and control. By adopting the method and the device, individualized closed-loop noninvasive nerve regulation and control can be realized, and the accuracy and timeliness of noninvasive nerve regulation and control are improved.

Description

Technical Field

[0001] This application relates to the field of neural technology, and particularly to a closed-loop non-invasive neural regulation system based on electroencephalogram (EEG) and time-domain interference electrical stimulation. Background Art

[0002] In the field of non-invasive neural regulation technology, especially in neuroscience research and the treatment of nervous system diseases, there is a need for precise monitoring and regulation of brain nerve activities. Such regulation technology has broad application prospects in many fields such as clinical treatment, cognitive enhancement, and neuroscience research.

[0003] Existing transcranial electrical stimulation techniques, such as transcranial direct current stimulation (tDCS), transcranial alternating current stimulation (tACS), transcranial random noise stimulation (tRNS), and transcranial pulsed electrical stimulation (tPCS), affect the activities of brain neurons by applying weak currents on the scalp surface. These techniques aim to regulate the excitability of the brain through different current patterns and parameter settings for therapeutic or research purposes.

[0004] Although existing transcranial electrical stimulation techniques show potential in many fields, they have two core defects: First, the spatial resolution is limited, resulting in the inability to accurately locate and stimulate deep regions of the brain, which limits the precision of stimulation. Second, the temporal resolution is limited, meaning that these techniques cannot provide specific and immediate stimulation regulation according to the real-time changes of brain nerve activities. Summary of the Invention

[0005] Embodiments of this application provide a closed-loop non-invasive neural regulation system based on EEG and time-domain interference electrical stimulation. To provide a basic understanding of some aspects of the disclosed embodiments, a simple summary is given below. This summary part is not a general review, nor is it intended to identify key / important constituent elements or delineate the protection scope of these embodiments. Its sole purpose is to present some concepts in a simple form as a prelude to the subsequent detailed description.

[0006] In a first aspect, embodiments of this application provide a closed-loop non-invasive neural regulation system based on EEG and time-domain interference electrical stimulation, the system comprising: A host computer, a slave computer, and a lead EEG cap, the host computer is communicatively connected to the slave computer, and the lead EEG cap is electrically connected to the slave computer; wherein, The host computer is configured to generate an EEG signal acquisition instruction in response to a regulation instruction input by a user and send it to the slave computer; The slave computer is configured to acquire high-resolution EEG signals of a target object wearing the lead EEG cap within a preset period in response to the received EEG signal acquisition instruction and send them to the host computer; The host computer is also used to locate the brain region to be regulated of the target object according to the received high-resolution electroencephalogram (EEG) signals and the magnetic resonance imaging (MRI) data of the target object, obtain the stimulation parameters of the time-domain interference electrical stimulation of the brain region to be regulated, and send them to the slave computer; The slave computer is also used to perform transcranial time-domain interference electrical stimulation on the target object according to the received stimulation parameters, and when the duration of the electrical stimulation reaches a preset threshold, continuously collect the high-resolution EEG signals of the target object wearing a lead EEG cap within a preset period, and send them to the host computer to achieve closed-loop non-invasive neuromodulation.

[0007] Optionally, the slave computer includes an EEG signal acquisition module, a transcranial time-domain interference electrical stimulation module, a main control and data processing module, a power management module, a wireless communication module, a touch display screen module, and a TTL signal synchronization module; among them, The main control and data processing module is respectively communicatively connected to the EEG signal acquisition module, the transcranial time-domain interference electrical stimulation module, the wireless communication module, and the TTL signal synchronization module; the power management module is respectively electrically connected to the main control and data processing module and the touch display screen module; among them, The lead EEG cap is respectively electrically connected to the EEG signal acquisition module and the transcranial time-domain interference electrical stimulation module; the wireless communication module is communicatively connected to the host computer.

[0008] Optionally, the EEG signal acquisition module is used to collect the high-resolution EEG signals of the target object wearing a lead EEG cap within a preset period; The transcranial time-domain interference electrical stimulation module is used to perform transcranial time-domain interference electrical stimulation on the target object according to the received stimulation parameters; The main control and data processing module is used to control the EEG signal acquisition module and the transcranial time-domain interference electrical stimulation module to work according to the received messages sent by the host computer; The touch display screen module is used to provide a user interface, allowing the user to control and monitor the running state of the system through touch operations; The TTL signal synchronization module is used to allow the slave computer to achieve synchronous triggering with external devices; The power management module is used to supply power to the main control and data processing module and the touch display screen module; The wireless communication module is used for data communication between the host computer and the slave computer.

[0009] Optionally, the high-resolution EEG signals collected by the EEG signal acquisition module are the EEG signals of 32 / 64 / 128 / 256 leads collected simultaneously; When the transcranial time-domain interference electrical stimulation module performs transcranial time-domain interference electrical stimulation, it outputs 2-8 lead alternating current signals. Each lead consists of a loop formed by two electrodes, and the two electrodes output alternating current with the same frequency, the same amplitude, and opposite phases. The output frequency is 0-30 kHz, the current intensity is 0-30 mA, and the duration is 0-120 minutes. The TTL signal synchronization module outputs and inputs synchronous trigger signals through the release and detection of 5V pull-up level signals.

[0010] Optionally, according to the received high-resolution electroencephalogram signals and the magnetic resonance imaging data of the target object, localize the brain regions to be regulated of the target object, including: According to the received high-resolution electroencephalogram signals, analyze the individualized target rhythms of the target object; among them, the individualized target rhythms include alpha rhythm, beta rhythm, theta rhythm, delta rhythm, and low gamma rhythm; According to the received high-resolution electroencephalogram signals, localize the key source brain regions of the individualized target rhythms. The key source brain regions include the dorsolateral prefrontal cortex, anterior insula, amygdala, and hippocampus; Take the key source brain regions of the target rhythm as the brain regions to be regulated of the target object.

[0011] Optionally, obtain the stimulation parameters of the time-domain interference electrical stimulation of the brain regions to be regulated, including: Based on the magnetic resonance imaging data of the target object, localize the target stimulation targets of the key source brain regions; Calculate the optimal stimulation electrode arrangement and current ratio of the target stimulation targets; According to the individualized target rhythms of the target object and the optimal stimulation electrode arrangement and current ratio of the target stimulation targets, determine the stimulation parameters of the time-domain interference electrical stimulation of the brain regions to be regulated.

[0012] Optionally, the host computer is also used to receive the high-resolution electroencephalogram signals retransmitted by the slave computer; based on the retransmitted high-resolution electroencephalogram signals, offline analyze the changes in the electroencephalogram rhythm characteristics of the target object; according to the changes in the electroencephalogram rhythm characteristics, determine the parameters of the closed-loop regulation; based on the parameters of the closed-loop regulation, set the stimulation parameters of the closed-loop time-domain interference electrical stimulation, and send them to the slave computer; The slave computer performs closed-loop transcranial time-domain interference electrical stimulation guided by the electroencephalogram characteristics of the target object according to the stimulation parameters of the closed-loop time-domain interference electrical stimulation to achieve closed-loop non-invasive neural regulation; The host computer is also used to perform online analysis based on the real-time electroencephalogram signals of the target object during the process of closed-loop non-invasive neural regulation, and dynamically adjust the stimulation parameters according to the results of the online analysis.

[0013] Optionally, analyze the individualized target rhythm of the target object according to the received high-resolution electroencephalogram (EEG) signal, including: Filter, amplify, and remove artifacts from the received high-resolution EEG signal to obtain the EEG signal to be analyzed; Analyze the time-domain characteristics of the EEG signal, where the time-domain characteristics include the amplitude, peaks, and valleys of the waveform; Convert the amplitude, peaks, and valleys of the waveform included in the time-domain characteristics into frequency-domain signals to extract different frequency bands and obtain signal characteristics; Perform pattern recognition on the EEG signal to distinguish different EEG rhythms and obtain the individualized target rhythm of the target object.

[0014] Optionally, locate the key source brain regions of the individualized target rhythm according to the received high-resolution EEG signal, including: Determine the potential distribution based on the received high-resolution EEG signal; Use a source localization algorithm to infer the location of the intracranial current source from the potential distribution to obtain the key source brain regions of the individualized target rhythm.

[0015] Optionally, based on the magnetic resonance imaging (MRI) data of the target object, locate the target stimulation points of the key source brain regions, including: Fuse the MRI data of the target object with the received high-resolution EEG signal to determine the three-dimensional spatial location of the EEG activity; Map the three-dimensional spatial location of the EEG activity to the functional regions of the brain to obtain the target stimulation points of the key source brain regions.

[0016] In the embodiments of the present application, by combining the use of high-resolution EEG signal acquisition and MRI data, the regulatory brain regions can be accurately located, thereby achieving more precise neuromodulation. At the same time, the closed-loop regulation mechanism allows the system to dynamically adjust the stimulation parameters according to the changes in real-time EEG signals, enabling neuromodulation to respond in a timely manner to the real-time changes in brain activity, realizing individualized closed-loop non-invasive neuromodulation, and thus improving the accuracy and timeliness of non-invasive neuromodulation.

[0017] It should be understood that the above general description and the following detailed description are only exemplary and explanatory, and cannot limit the present application. Brief Description of the Drawings

[0018] The accompanying drawings herein are incorporated into the specification and constitute a part of the specification, showing embodiments consistent with the present application, and are used together with the specification to explain the principles of the present application.

[0019] Figure 1 It is a schematic structural diagram of a closed-loop non-invasive neuromodulation system based on EEG and time-domain interference electrical stimulation provided by an embodiment of the present application; Figure 2 It is a schematic diagram of the internal structure of a slave computer provided by an embodiment of the present application; Figure 3 It is a schematic flowchart of a closed-loop non-invasive nerve regulation method based on electroencephalogram and time-domain interference electrical stimulation provided by an embodiment of the present application; Figure 4 It is a schematic diagram of the determination process of a target stimulation target provided by the present application. Detailed implementation manners

[0020] The following description and the drawings fully illustrate the specific implementation manners of the present application so that those skilled in the art can practice them.

[0021] It should be clear that the described embodiments are only some embodiments of the present application, not all of them. All other embodiments obtained by those of ordinary skill in the art based on the embodiments in the present application without creative efforts belong to the scope of protection of the present application.

[0022] When the following description refers to the drawings, unless otherwise indicated, the same numbers in different drawings represent the same or similar elements. The implementation manners described in the following exemplary embodiments do not represent all implementation manners consistent with the present application. On the contrary, they are only examples of systems consistent with some aspects of the present application as detailed in the appended claims.

[0023] In the description of the present application, it should be understood that terms such as "first", "second", etc. are only used for descriptive purposes and cannot be understood as indicating or implying relative importance. For those of ordinary skill in the art, the specific meanings of the above terms in the present application can be understood according to specific situations. In addition, in the description of the present application, unless otherwise stated, "a plurality of" means two or more. "And / or" describes the association relationship of associated objects and indicates that three relationships can exist. For example, A and / or B can represent: A exists alone, A and B exist simultaneously, and B exists alone. The character " / " generally represents an "or" relationship between the front and back associated objects.

[0024] In the embodiments of the present application, by combining the use of high-resolution electroencephalogram signal acquisition and magnetic resonance imaging data, the regulation brain area can be accurately located, thereby realizing more precise nerve regulation. At the same time, the closed-loop regulation mechanism allows the system to dynamically adjust the stimulation parameters according to the changes in real-time electroencephalogram signals, enabling nerve regulation to respond in a timely manner to the real-time changes in brain activities, realizing individualized closed-loop non-invasive nerve regulation, thereby improving the accuracy and timeliness of non-invasive nerve regulation. The following uses exemplary embodiments for detailed description.

[0025] Please refer to Figure 1 , Figure 1It is a schematic structural diagram of a closed-loop non-invasive nerve regulation system based on electroencephalogram and time-domain interference electrical stimulation provided by an embodiment of the present application. The system includes a host computer, a slave computer, and a lead electroencephalogram cap. The host computer is communicatively connected to the slave computer, and the lead electroencephalogram cap is electrically connected to the slave computer.

[0026] In the embodiment of the present application, the host computer is configured to generate an electroencephalogram signal acquisition instruction in response to a regulation instruction input by a user and send it to the slave computer; the slave computer is configured to collect high-resolution electroencephalogram signals of a target object wearing a lead electroencephalogram cap within a preset period in response to the received electroencephalogram signal acquisition instruction and send them to the host computer; the host computer is further configured to locate a brain region to be regulated of the target object according to the received high-resolution electroencephalogram signals and magnetic resonance imaging data of the target object, and obtain stimulation parameters of time-domain interference electrical stimulation of the brain region to be regulated, and send them to the slave computer; the slave computer is further configured to perform transcranial time-domain interference electrical stimulation on the target object according to the received stimulation parameters, and when the electrical stimulation duration reaches a preset threshold, continue to collect high-resolution electroencephalogram signals of the target object wearing a lead electroencephalogram cap within a preset period and send them to the host computer to achieve closed-loop non-invasive nerve regulation.

[0027] Among them, the lead electroencephalogram cap is a wearable device equipped with multiple electrodes (leads) for collecting electrical activity signals of the brain from the scalp surface. High-resolution electroencephalogram signals refer to electroencephalogram signals collected through a high-density electrode array, which can provide more detailed brain activity information. Time-domain interference electrical stimulation is a transcranial electrical stimulation technique that affects the activity of brain neurons by applying current at specific time points to achieve regulation of brain function.

[0028] In some embodiments of the present application, the specific processing process of locating the brain region to be regulated of the target object according to the received high-resolution electroencephalogram signals and magnetic resonance imaging data of the target object includes: analyzing the individual target rhythm of the target object according to the received high-resolution electroencephalogram signals; among them, the individual target rhythm includes alpha rhythm, beta rhythm, theta rhythm, delta rhythm, and low gamma rhythm; locating the key source brain regions of the individual target rhythm according to the received high-resolution electroencephalogram signals. For example, the key source brain regions may include the dorsolateral prefrontal cortex, anterior insula, amygdala, and hippocampus, or other brain regions; using the key source brain regions of the target rhythm as the brain region to be regulated of the target object.

[0029] Among them, the individualized target rhythm refers to the target electroencephalogram (EEG) rhythm determined according to the specific EEG activity characteristics of each subject. Alpha rhythm: EEG waves with a frequency of 8 - 13 Hz, usually associated with the relaxed and eyes-closed state. Beta rhythm: EEG waves with a frequency of 13 - 30 Hz, associated with alertness, focused attention, and active thinking activities. Theta rhythm: EEG waves with a frequency of 4 - 7 Hz, associated with deep relaxation, meditation, and certain types of learning. Delta rhythm: EEG waves with a frequency of 0.5 - 4 Hz, usually occurring during deep sleep. Low gamma rhythm: Low-frequency gamma waves, with a frequency between 30 - 70 Hz, associated with cognitive processing and perceptual functions. The key source brain regions refer to the main brain regions where EEG rhythms are generated, and the activities of these regions play a key role in the formation and regulation of the individualized target rhythm. The dorsolateral prefrontal cortex is a brain region related to executive function, decision-making, and attention control. The anterior insula is a brain region related to emotional experience, autonomic responses, and certain cognitive functions. The amygdala is a brain region related to emotion regulation, especially fear and anxiety responses. The hippocampus is a brain region related to memory formation, spatial navigation, and certain learning processes. The brain region to be regulated refers to the specific brain region that needs to be neurally regulated, determined according to the key source brain regions of the individualized target rhythm.

[0030] Specifically, according to the received high-resolution EEG signals, the specific process of analyzing the individualized target rhythm of the target object includes: filtering, amplifying, and artifact removal processing on the received high-resolution EEG signals to obtain the EEG signals to be analyzed; analyzing the time-domain characteristics of the EEG signals, where the time-domain characteristics include the amplitude of the waveform, peaks, and valleys; converting the amplitude, peaks, and valleys of the waveform included in the time-domain characteristics into frequency-domain signals to extract different frequency bands and obtain signal characteristics; performing pattern recognition on the EEG signals to distinguish different EEG rhythms and obtain the individualized target rhythm of the target object.

[0031] For example, filtering can remove noise in the EEG signals, such as using a band-pass filter to remove 50 / 60 Hz power line interference and signals outside other frequencies. Amplification can enhance the amplitude of the EEG signals, making them easier to analyze and identify. Artifact removal is to eliminate artifacts caused by eye movements, electromyography, or other non-EEG activities to improve the accuracy of the signals. Analyze the time-domain characteristics of the EEG signals, including the amplitude (height of the wave), peaks (highest point of the wave), and valleys (lowest point of the wave) of the waveform. Convert the time-domain signal into a frequency-domain signal, usually using methods such as Fourier transform (FFT) or short-time Fourier transform (STFT) to extract the characteristics of different frequency bands. Use statistical methods to perform pattern recognition on the EEG signals to distinguish different EEG rhythms, such as alpha, beta, theta, delta, and low gamma rhythms, so as to obtain the individualized target rhythm of the target object.

[0032] Specifically, the specific process of locating the key source brain region of the individualized target rhythm based on the received high-resolution electroencephalogram (EEG) signals includes: determining the potential distribution based on the received high-resolution EEG signals; using a source localization algorithm to infer the position of the intracerebral current source from the potential distribution, thereby obtaining the key source brain region of the individualized target rhythm.

[0033] For example, based on the preprocessed high-resolution EEG signals, a potential distribution map on the scalp is determined, which involves measuring the voltage differences between different electrodes. A source localization algorithm, such as the least squares method, Bayesian method, or regularization method, is used to infer the position of the intracerebral current source from the potential distribution. According to the results of the source localization algorithm, the position of the current source of the individualized target rhythm, that is, the key source brain region, such as the dorsolateral prefrontal cortex, anterior insula, amygdala, and hippocampus, is determined.

[0034] In some embodiments of the present application, the specific process of obtaining the stimulation parameters of the time-domain interference electrical stimulation for the brain region to be regulated includes: locating the target stimulation target of the key source brain region based on the magnetic resonance imaging (MRI) data of the target object; calculating the optimal stimulation electrode arrangement and current ratio of the target stimulation target; and determining the stimulation parameters of the time-domain interference electrical stimulation for the brain region to be regulated according to the individualized target rhythm of the target object and the optimal stimulation electrode arrangement and current ratio of the target stimulation target.

[0035] Specifically, locating the target stimulation target of the key source brain region based on the MRI data of the target object specifically includes: fusing the MRI data of the target object with the received high-resolution EEG signals to determine the three-dimensional spatial position of the EEG activity; mapping the three-dimensional spatial position of the EEG activity to the functional regions of the brain to obtain the target stimulation target of the key source brain region.

[0036] For example Figure 4 as shown Figure 4 is a schematic diagram of the process for determining a target stimulation target provided by the present application. First, the MRI data can present the brain spatial structure, and the high-resolution EEG signals can present the EEG signal topological structure. By fusing the MRI data and the high-resolution EEG signals, individualized neuroimaging data can be obtained. Through reverse derivation of the individualized neuroimaging data, the key source brain region of the target rhythm can be obtained, and then the target stimulation target can be located.

[0037] In some embodiments of the present application, the host computer is further configured to receive the high-resolution electroencephalogram (EEG) signals retransmitted by the slave computer; based on the retransmitted high-resolution EEG signals, analyze the changes in the EEG rhythm characteristics of the target object offline; determine the parameters for closed-loop regulation according to the changes in the EEG rhythm characteristics; based on the parameters for closed-loop regulation, set the stimulation parameters of the closed-loop time-domain interference electrical stimulation, and transmit them to the slave computer; the slave computer performs closed-loop transcranial time-domain interference electrical stimulation guided by EEG characteristics on the target object according to the stimulation parameters of the closed-loop time-domain interference electrical stimulation, so as to achieve closed-loop non-invasive neuromodulation; the host computer is further configured to, during the process of closed-loop non-invasive neuromodulation, perform online analysis based on the real-time EEG signals of the target object, and dynamically adjust the stimulation parameters according to the results of the online analysis.

[0038] Among them, the retransmitted high-resolution EEG signals refer to the process in which the slave computer sends these signals back to the host computer for further analysis after completing the preliminary acquisition and preprocessing of the EEG signals. The "second time" here means that after the signals are acquired and processed to a certain extent, they are sent to the host computer again. The changes in the EEG rhythm characteristics refer to the changes in the frequency, amplitude, phase, etc. of different rhythms (such as alpha, beta, theta, delta, and low gamma rhythms) in the EEG signals over time. These changes are related to the changes in the brain state, cognitive activities, or neurological disease states. The parameters for closed-loop regulation refer to the control parameters that are dynamically adjusted according to the feedback information of the system in a closed-loop control system. In a neuromodulation system, these parameters may include the intensity, frequency, duration, etc. of the stimulation to achieve precise control of brain activities. The stimulation parameters of the closed-loop time-domain interference electrical stimulation are used to guide the specific implementation of the closed-loop time-domain interference electrical stimulation, including the number of leads for stimulation, the positions of the stimulation electrodes, the intensity of the stimulation current, the frequency of the stimulation current, and the stimulation duration, etc. The closed-loop transcranial time-domain interference electrical stimulation guided by EEG characteristics is a closed-loop regulation method based on the characteristics of real-time EEG signals. In this method, the slave computer monitors the EEG signals in real time according to the stimulation parameters sent by the host computer, and adjusts the stimulation parameters according to the characteristics of these signals to achieve precise regulation of brain activities. Dynamic adjustment refers to the real-time update and adjustment of the system parameters according to the real-time feedback or data analysis results. In a neuromodulation system, this means adjusting the stimulation parameters in real time according to the changes in the real-time EEG signals to achieve the best regulation effect.

[0039] Specifically, the host computer includes control software and positioning and navigation software. The target object in the present application can be wearing an EEG cap with 32 / 64 / 128 / 256 leads, placing Ag / AgCl electrodes on the EEG cap, and filling conductive paste between the electrodes and the scalp.

[0040] In some embodiments of the present application, for example Figure 2As shown in the figure, the lower computer includes an electroencephalogram (EEG) signal acquisition module, a transcranial time-domain interference electrical stimulation module, a main control and data processing module, a power management module, a wireless communication module, a touch display screen module, and a TTL signal synchronization module. The main control and data processing module is communicatively connected to the EEG signal acquisition module, the transcranial time-domain interference electrical stimulation module, the wireless communication module, and the TTL signal synchronization module respectively; the power management module is electrically connected to the main control and data processing module and the touch display screen module respectively; among them, the lead EEG cap is electrically connected to the EEG signal acquisition module and the transcranial time-domain interference electrical stimulation module respectively; the wireless communication module is communicatively connected to the upper computer.

[0041] In some embodiments of the present application, the EEG signal acquisition module is used to acquire high-resolution EEG signals of a target object wearing a lead EEG cap within a preset period; the transcranial time-domain interference electrical stimulation module is used to perform transcranial time-domain interference electrical stimulation on the target object according to the received stimulation parameters; the main control and data processing module is used to control the EEG signal acquisition module and the transcranial time-domain interference electrical stimulation module to work according to the received messages sent by the upper computer; the touch display screen module is used to provide a user interface, allowing the user to control and monitor the running state of the system through touch operations; the TTL signal synchronization module is used to allow the lower computer to achieve synchronous triggering with external devices; the power management module is used to supply power to the main control and data processing module and the touch display screen module; the wireless communication module is used for data communication between the upper computer and the lower computer.

[0042] In some embodiments of the present application, the high-resolution EEG signals acquired by the EEG signal acquisition module are EEG signals of 32 / 64 / 128 / 256 leads acquired simultaneously; when the transcranial time-domain interference electrical stimulation module performs transcranial time-domain interference electrical stimulation, it outputs 2-8 lead alternating current signals, and each lead forms a loop with two electrodes, and the two electrodes output alternating current with the same frequency, the same amplitude, and opposite phases, with an output frequency of 0 to 30 kHz, a current intensity of 0 to 30 mA, and a duration of 0 to 120 minutes; the TTL signal synchronization module outputs and inputs synchronous trigger signals through the release and detection of 5V pull-up level signals.

[0043] In the embodiments of the present application, by combining the use of high-resolution EEG signal acquisition and magnetic resonance imaging data, the regulatory brain regions can be accurately located, so as to achieve more precise neuromodulation. At the same time, the closed-loop regulation mechanism allows the system to dynamically adjust the stimulation parameters according to the changes in real-time EEG signals, enabling neuromodulation to timely respond to the real-time changes in brain activities, realizing individualized closed-loop non-invasive neuromodulation, thereby improving the accuracy and timeliness of non-invasive neuromodulation.

[0044] Please refer to Figure 3 , which is a schematic flowchart of a closed-loop non-invasive neuromodulation method based on EEG and time-domain interference electrical stimulation provided by the embodiments of the present application. AsFigure 3 As shown in the figure, the detection method of the embodiment of the present application may include the following steps: S101. The host computer generates an electroencephalogram (EEG) signal acquisition instruction in response to a regulation instruction input by the user, and sends it to the slave computer. In the embodiment of the present application, before the host computer responds to the regulation instruction input by the user, the target object needs to wear a 32 / 64 / 128 / 256-lead EEG cap in advance. Then the user controls the EEG signal acquisition function of the slave computer host through the host computer control software. At this time, the host computer generates an EEG signal acquisition instruction in response to the regulation instruction input by the user, and sends it to the slave computer.

[0045] S102. The slave computer acquires high-resolution EEG signals of the target object wearing the lead EEG cap within a preset period in response to the received EEG signal acquisition instruction, and sends them to the host computer. Among them, the preset period is, for example, 3 to 60 minutes.

[0046] S103. The host computer locates the brain region to be regulated of the target object according to the received high-resolution EEG signals and the magnetic resonance imaging data of the target object, and obtains the stimulation parameters of the time-domain interference electrical stimulation of the brain region to be regulated, and sends them to the slave computer. Among them, the stimulation parameters are, for example, the number of stimulation leads, the positions of stimulation electrodes, the intensity of stimulation current, the frequency of stimulation current, the stimulation duration, etc. The distribution rule of the electrode potential follows the international 10-10 system of EEG.

[0047] S104. The slave computer performs transcranial time-domain interference electrical stimulation on the target object according to the received stimulation parameters, and when the electrical stimulation duration reaches the preset threshold, continues to acquire high-resolution EEG signals of the target object wearing the lead EEG cap within a preset period, and sends them to the host computer to achieve closed-loop non-invasive nerve regulation. S105. The host computer receives the high-resolution EEG signals sent by the slave computer for the second time; based on the high-resolution EEG signals sent for the second time, offline analyzes the changes in the EEG rhythm characteristics of the target object; determines the parameters of the closed-loop regulation according to the changes in the EEG rhythm characteristics; sets the stimulation parameters of the closed-loop time-domain interference electrical stimulation based on the parameters of the closed-loop regulation, and sends them to the slave computer. S106. The slave computer performs closed-loop transcranial time-domain interference electrical stimulation guided by the EEG characteristics of the target object according to the stimulation parameters of the closed-loop time-domain interference electrical stimulation to achieve closed-loop non-invasive nerve regulation. S107. During the closed-loop non-invasive nerve regulation process, the host computer performs online analysis based on the real-time EEG signals of the target object, and dynamically adjusts the stimulation parameters according to the results of the online analysis.

[0048] It should be noted that for the detailed explanations of the relevant details in the method, reference can be made to the specific content in the system, which will not be elaborated here.

[0049] In the embodiments of the present application, by combining the use of high-resolution electroencephalogram (EEG) signal acquisition and magnetic resonance imaging (MRI) data, the regulatory brain regions can be accurately located, thereby achieving more precise neuromodulation. At the same time, the closed-loop regulation mechanism allows the system to dynamically adjust the stimulation parameters according to the changes in real-time EEG signals, enabling neuromodulation to respond in a timely manner to the real-time changes in brain activities, realizing individualized closed-loop non-invasive neuromodulation, and thus improving the accuracy and timeliness of non-invasive neuromodulation.

[0050] The present application also provides a computer-readable medium, on which program instructions are stored. When the program instructions are executed by a processor, the closed-loop non-invasive neuromodulation method based on EEG and time-domain interference electrical stimulation provided by each of the above method embodiments is implemented.

[0051] The present application also provides a computer program product containing instructions. When it runs on a computer, it causes the computer to execute the closed-loop non-invasive neuromodulation method based on EEG and time-domain interference electrical stimulation of each of the above method embodiments.

[0052] Those of ordinary skill in the art can understand that all or part of the processes in the above method embodiments can be completed by instructing relevant hardware through a computer program. The program for closed-loop non-invasive neuromodulation based on EEG and time-domain interference electrical stimulation can be stored in a computer-readable storage medium. When the program is executed, it can include the processes of the above method embodiments. Among them, the storage medium for the program of closed-loop non-invasive neuromodulation based on EEG and time-domain interference electrical stimulation can be a magnetic disk, an optical disk, a read-only memory, or a random access memory, etc.

[0053] The above-disclosed are only the preferred embodiments of the present application. Of course, the scope of rights of the present application cannot be limited thereby. Therefore, equivalent changes made according to the claims of the present application still fall within the scope covered by the present application.

[0054] Those of ordinary skill in the art can understand that all or part of the processes in the above method embodiments can be completed by instructing relevant hardware through a computer program. The program for closed-loop non-invasive neuromodulation based on EEG and time-domain interference electrical stimulation can be stored in a computer-readable storage medium. When the program is executed, it can include the processes of the above method embodiments. Among them, the storage medium for the program of closed-loop non-invasive neuromodulation based on EEG and time-domain interference electrical stimulation can be a magnetic disk, an optical disk, a read-only memory, or a random access memory, etc.

[0055] The above-disclosed are only the preferred embodiments of the present application. Of course, the scope of rights of the present application cannot be limited thereby. Therefore, equivalent changes made according to the claims of the present application still fall within the scope covered by the present application.

Claims

1. A closed-loop non-invasive neural regulation system based on electroencephalogram and time-domain interference electrical stimulation, characterized in that, The system includes: a host computer, a slave computer, and a lead electroencephalogram (EEG) cap. The host computer is communicatively connected to the slave computer, and the lead EEG cap is electrically connected to the slave computer. Among them, the host computer is configured to generate an EEG signal acquisition instruction in response to a regulation instruction input by a user and send it to the slave computer; the slave computer is configured to acquire high-resolution EEG signals of a target object wearing the lead EEG cap within a preset period in response to the received EEG signal acquisition instruction and send them to the host computer; the host computer is further configured to locate a brain region to be regulated of the target object based on the received high-resolution EEG signals and magnetic resonance imaging data of the target object, and obtain stimulation parameters of time-domain interference electrical stimulation of the brain region to be regulated, and send them to the slave computer; the slave computer is further configured to perform transcranial time-domain interference electrical stimulation on the target object according to the received stimulation parameters, and when the electrical stimulation duration reaches a preset threshold, continue to acquire high-resolution EEG signals of the target object wearing the lead EEG cap within a preset period and send them to the host computer to achieve closed-loop non-invasive neural regulation.

2. The system according to claim 1, characterized in that The slave computer includes an EEG signal acquisition module, a transcranial time-domain interference electrical stimulation module, a main control and data processing module, a power management module, a wireless communication module, a touch display screen module, and a TTL signal synchronization module. Among them, the main control and data processing module is communicatively connected to the EEG signal acquisition module, the transcranial time-domain interference electrical stimulation module, the wireless communication module, and the TTL signal synchronization module respectively; the power management module is electrically connected to the main control and data processing module and the touch display screen module respectively. Among them, the lead EEG cap is electrically connected to the EEG signal acquisition module and the transcranial time-domain interference electrical stimulation module respectively; the wireless communication module is communicatively connected to the host computer.

3. The system according to claim 2, wherein the EEG signal acquisition module is configured to acquire high-resolution EEG signals of a target object wearing the lead EEG cap within a preset period; the transcranial time-domain interference electrical stimulation module is configured to perform transcranial time-domain interference electrical stimulation on the target object according to the received stimulation parameters; the main control and data processing module is configured to control the EEG signal acquisition module and the transcranial time-domain interference electrical stimulation module to work according to the message received from the host computer; the touch display screen module is configured to provide a user interface and allow the user to control and monitor the operating state of the system through touch operations; the TTL signal synchronization module is configured to allow the slave computer to achieve synchronous triggering with an external device; the power management module is configured to supply power to the main control and data processing module and the touch display screen module; the wireless communication module is configured for data communication between the host computer and the slave computer.

4. The system according to claim 3, wherein The high-resolution EEG signals acquired by the EEG signal acquisition module are 32 / 64 / 128 / 256-lead EEG signals acquired simultaneously. When performing transcranial time-domain interference electrical stimulation, the transcranial time-domain interference electrical stimulation module outputs an alternating current signal with 2 - 8 leads. Each lead forms a loop with two electrodes, and the two electrodes output alternating current with the same frequency, the same amplitude, and opposite phases. The output frequency is 0 - 30 kHz, the current intensity is 0 - 30 mA, and the duration is 0 - 120 minutes. The TTL signal synchronization module outputs and inputs synchronization trigger signals through the release and detection of a 5V pull-up level signal.

5. The system according to any one of claims 1-4, characterized in that Locating the brain region to be regulated of the target object according to the received high-resolution electroencephalogram signal and the magnetic resonance imaging data of the target object includes: Analyzing the individualized target rhythm of the target object according to the received high-resolution electroencephalogram signal; wherein, the individualized target rhythm includes alpha rhythm, beta rhythm, theta rhythm, delta rhythm, and low gamma rhythm; Locating the key source brain region of the individualized target rhythm according to the received high-resolution electroencephalogram signal; Taking the key source brain region of the target rhythm as the brain region to be regulated of the target object.

6. The system according to claim 5, wherein Obtaining the stimulation parameters of time-domain interference electrical stimulation for the brain region to be regulated includes: Based on the magnetic resonance imaging data of the target object, locating the target stimulation target point of the key source brain region; Calculating the optimal stimulation electrode arrangement and current ratio of the target stimulation target point; Determining the stimulation parameters of time-domain interference electrical stimulation for the brain region to be regulated according to the individualized target rhythm of the target object and the optimal stimulation electrode arrangement and current ratio of the target stimulation target point.

7. The system according to claim 1, wherein The host computer is further configured to receive the high-resolution electroencephalogram signal re-transmitted by the slave computer; based on the re-transmitted high-resolution electroencephalogram signal, offline analyze the change of the electroencephalogram rhythm characteristics of the target object; according to the change of the electroencephalogram rhythm characteristics, determine the parameters of closed-loop regulation; based on the parameters of closed-loop regulation, set the stimulation parameters of closed-loop time-domain interference electrical stimulation, and transmit them to the slave computer; The slave computer performs closed-loop transcranial time-domain interference electrical stimulation guided by electroencephalogram characteristics on the target object according to the stimulation parameters of closed-loop time-domain interference electrical stimulation to achieve closed-loop non-invasive neural regulation; The host computer is further configured to perform online analysis based on the real-time electroencephalogram signal of the target object during the process of closed-loop non-invasive neural regulation, and dynamically adjust the stimulation parameters according to the results of online analysis.

8. The system according to claim 5, wherein Analyzing the individualized target rhythm of the target object according to the received high-resolution electroencephalogram signal includes: Filtering, amplifying, and artifact-removing the received high-resolution electroencephalogram signal to obtain the electroencephalogram signal to be analyzed; Analyzing the time-domain characteristics of the electroencephalogram signal, and the time-domain characteristics include the amplitude, wave peaks, and wave valleys of the waveform; Converting the amplitude, wave peaks, and wave valleys of the waveform included in the time-domain characteristics into frequency-domain signals to extract different frequency bands and obtain signal characteristics; Performing pattern recognition on the electroencephalogram signal to distinguish different electroencephalogram rhythms and obtain the individualized target rhythm of the target object.

9. The system according to claim 5, characterized in that, Locating the key source brain region of the individualized target rhythm according to the received high-resolution electroencephalogram signals includes: Determining the potential distribution based on the received high-resolution electroencephalogram signals; Using a source localization algorithm to infer the position of the endogenous neural rhythm source in the brain from the potential distribution, and obtaining the key source brain region of the individualized target rhythm.

10. The system according to claim 6, characterized in that, Locating the target stimulation target point of the key source brain region based on the magnetic resonance imaging data of the target object includes: Performing data fusion on the magnetic resonance imaging data of the target object and the received high-resolution electroencephalogram signals to determine the three-dimensional spatial position of the electroencephalogram activity; Mapping the three-dimensional spatial position of the electroencephalogram activity to the functional regions of the brain to obtain the target stimulation target point of the key source brain region.

Images