Electroencephalogram signal detection device, control method, signal processing system and storage medium

By combining the signal processing module and the control module, the application of electrical stimulation can be controlled in real time, which solves the problem of inflexible intervention methods of EEG signal acquisition equipment and achieves efficient processing and stable control of EEG signals.

CN121370193AActive Publication Date: 2026-01-23XUANWU HOSPITAL OF CAPITAL UNIV OF MEDICAL SCI +1

Patent Information

Application Number
CN202511958499.1
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2025-12-23
Publication Date
2026-01-23
Estimated Expiration
2045-12-23

AI Technical Summary

Technical Problem

Existing EEG signal acquisition devices lack flexibility in their intervention methods, making it difficult to effectively control the propagation and processing of EEG signals.

Method used

The system employs a combination of signal processing and control modules. The signal processing unit detects EEG signals and controls the application of electrical stimulation in real time based on the propagation trend of historical signals, thereby blocking the propagation of abnormal EEG signals.

Benefits of technology

It improves the efficiency of EEG signal processing, ensures that nerve cell potentials remain in a resting state, and achieves stable spatiotemporal setting characteristic control of EEG signals.

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Abstract

The embodiment of the invention relates to the technical field of medical instruments, and discloses an electroencephalogram signal detection device, a control method, a signal processing system and a storage medium. In the electroencephalogram signal detection device, a first control unit can directly detect an electroencephalogram signal according to a first electroencephalogram signal collected by a first contact group in a signal processing unit electrically connected with the first control unit; a second contact group in the signal processing unit is controlled to apply first electrical stimulation for blocking the first electroencephalogram signal, and the first electroencephalogram signal is blocked in time; the second control module can determine the propagation change area of the first electroencephalogram signal according to the propagation change trend of the historical electroencephalogram signal in the space and the first to-be-detected area, outputs a control instruction to a second contact in the target signal processing unit corresponding to the propagation change area, and instructs the second contact to apply electrical stimulation. And blocking the first electroencephalogram signal from spreading to the spreading change area where the target signal processing unit is located in advance.
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Description

TECHNICAL FIELD

[0001] Embodiments of the present application relate to the technical field of medical devices, and in particular, the present application relates to an electroencephalogram detection device, a control method, a signal processing system and a storage medium. BACKGROUND

[0002] Electroencephalogram (EEG for short) is formed by a large number of neurons synchronously generating post-synaptic potentials when the brain is active. It records the change of the electric wave when the brain is active, and is the overall reflection of the electrical activity of brain nerve cells on the cerebral cortex or scalp surface, which can also be called electroencephalogram or brain wave.

[0003] By detecting the electroencephalogram, the electrical activity of brain nerve cells can be understood, for example, whether the electrical potential of brain nerve cells is a resting potential. By intervening in the electroencephalogram acquisition device (for example, outputting electrical stimulation), the subsequent detected electroencephalogram can be affected, for example, the electrical potential of brain nerve cells tends to be a resting potential. However, the current way of intervening in the electroencephalogram acquisition device is not flexible enough. SUMMARY

[0004] Embodiments of the present application provide an electroencephalogram detection device, a control method, a signal processing system and a storage medium to solve the problem that the current way of intervening in the electroencephalogram acquisition device is not flexible enough.

[0005] In order to solve the above problems, the present application discloses an electroencephalogram detection device, comprising: a signal processing module, a first control module and a second control module; the signal processing module comprises: at least two signal processing units respectively used for processing the electroencephalogram of different to-be-detected regions; the first control module comprises at least two first control units, the first control unit is electrically connected with the signal processing unit and the second control module respectively, The first control unit is configured to: according to the first electroencephalogram collected by the first contact group in the signal processing unit electrically connected with the first control unit, control the second contact in the signal processing unit to apply the first electrical stimulation for blocking the first electroencephalogram, and send the first information to the second control module; wherein the first information indicates the first to-be-detected region corresponding to the signal processing unit; The second control module is configured to perform the following operations: determine a propagation change region of the first electroencephalogram signal according to a propagation change trend of historical electroencephalogram signals in space and the first to-be-detected region; the collection time of the historical electroencephalogram signals is earlier than the collection time of the first electroencephalogram signals; the propagation change trend is generated according to the time sequence and / or feature difference of at least three historical electroencephalogram signals; output a control instruction to a second contact in a target signal processing unit; the to-be-detected region corresponding to the target signal processing unit is the propagation change region of the first to-be-detected region; the control instruction is used to instruct the second contact in the target signal processing unit to apply an electric stimulus.

[0006] The embodiment of the application further discloses an electroencephalogram signal control method applied to an electroencephalogram signal detection device, wherein the electroencephalogram signal detection device comprises a signal processing module; the signal processing module comprises at least two signal processing units respectively used for processing electroencephalogram signals of different to-be-detected regions; and the method comprises the following steps: control a second contact in the signal processing unit to apply a first electric stimulus used for blocking the first electroencephalogram signal according to a first electroencephalogram signal collected by a first contact group in the signal processing unit; determine a propagation change region of the first electroencephalogram signal according to a propagation change trend of historical electroencephalogram signals in space and the first to-be-detected region corresponding to the signal processing unit; the collection time of the historical electroencephalogram signals is earlier than the collection time of the first electroencephalogram signals; the propagation change trend is generated according to the time sequence and / or feature difference of at least three historical electroencephalogram signals; output a control instruction to a second contact in a target signal processing unit; the to-be-detected region corresponding to the target signal processing unit is the propagation change region of the first to-be-detected region; the control instruction is used to instruct the second contact in the target signal processing unit to apply an electric stimulus.

[0007] The embodiment of the application further discloses a signal processing system comprising the electroencephalogram signal detection device.

[0008] The embodiment of the application further discloses a computer readable storage medium, and the computer readable storage medium stores a computer program; when the computer program is executed by a processor, the method in one or more embodiments of the application is implemented.

[0009] The embodiment of the application further discloses a computer program product comprising a computer program; when the computer program is executed by a processor, the method in one or more embodiments of the application is implemented.

[0010] In the embodiment of the present application, the signal processing module in the electroencephalogram signal detection device includes at least two signal processing units respectively used for processing electroencephalogram signals of different to-be-detected regions; the first control module includes at least two first control units, and the first control units are connected with the signal processing units and the second control module respectively. The first control unit can directly control the second contact group in the signal processing unit to apply the first electric stimulus for blocking the first electroencephalogram signal according to the first electroencephalogram signal collected by the first contact group in the signal processing unit to which the first control unit is electrically connected. In this way, the blocking can be performed in time in the case that the signal processing unit detects the first electroencephalogram signal. The first control unit sends the first information indicating the first to-be-detected region corresponding to the signal processing unit to the second control module. In this way, the second control module can determine the propagation change region of the first electroencephalogram signal according to the historical electroencephalogram signal and the first to-be-detected region, and output a control instruction to the second contact in the target signal processing unit corresponding to the propagation change region, to instruct the second contact to apply the electric stimulus. In this way, the first electroencephalogram signal can be blocked in advance from propagating to the propagation change region where the target signal processing unit is located, the efficiency of subsequent processing operations based on the electroencephalogram signal is improved, the electroencephalogram signal has a stable space-time setting feature, and the potential of the neural brain cell is controlled to be the resting potential. BRIEF DESCRIPTION OF DRAWINGS

[0011] The above and / or additional aspects and advantages of the present application will become apparent and more readily appreciated from the following description of the embodiments, taken in conjunction with the accompanying drawings, in which: Figure 1 A structural schematic diagram of an electroencephalogram signal detection device provided by an embodiment of the present application is shown in the figure; Figure 2 A scene schematic diagram of an electroencephalogram signal detection device provided by an embodiment of the present application is shown in the figure; Figure 3 A scene schematic diagram of a signal processing unit provided by an embodiment of the present application is shown in the figure; Figure 4 A flowchart of an electroencephalogram signal control method provided by an embodiment of the present application is shown in the figure; Figure 5 A structural schematic diagram of a signal processing system provided by an embodiment of the present application is shown in the figure. DETAILED DESCRIPTION

[0012] The embodiments of the present application will be described below in conjunction with the accompanying drawings in the present application. It should be understood that the embodiments described below in conjunction with the drawings are exemplary descriptions for explaining the technical solutions of the embodiments of the present application, and do not limit the technical solutions of the embodiments of the present application.

[0013] Those skilled in the art will understand that, unless otherwise stated, the singular forms “a,” “an,” “the,” and “the” used herein may also include the plural forms. It should be further understood that the terms “comprising” and “including” as used in the embodiments of this application mean that the corresponding feature can be implemented as the presented feature, information, data, step, operation, element, and / or component, but do not exclude implementation as other features, information, data, step, operation, element, component, and / or combinations thereof supported by the art. It should be understood that when we say that an element is “connected” or “coupled” to another element, the one element can be directly connected or coupled to the other element, or it can mean that the one element and the other element establish a connection relationship through an intermediate element. Furthermore, “connected” or “coupled” as used herein can include wireless connection or wireless coupling. The term “multiple” refers to two or more; therefore, in the embodiments of this application, “multiple” can also be understood as “at least two.” The term "and / or" describes the relationship between related objects, indicating that three relationships can exist. For example, A and / or B can represent: A alone, A and B simultaneously, or B alone. Additionally, the character " / ", unless otherwise specified, generally indicates that the related objects before and after it are in an "or" relationship.

[0014] To make the objectives, technical solutions, and advantages of this application clearer, the embodiments of this application will be described in further detail below with reference to the accompanying drawings.

[0015] The following combination Figures 1 to 3 The electroencephalogram (EEG) signal detection device provided in the embodiments of this application will be described. For example... Figure 1 As shown, the EEG signal detection device 10 includes a signal processing module 11, a first control module 12, and a second control module 13; the signal processing module 11 includes at least two signal processing units 111, each used to process EEG signals from different regions to be detected (for ease of description, the connection relationships between different contacts in the signal processing units and the first control unit and the second control module are not explicitly stated). Figure 1 Taking a signal processing module with one signal processing unit as an example for explanation); the first control module 12 includes at least two first control units 121 (for ease of description, the connection relationship between different contacts in the signal processing unit and the first control unit and the second control module is explained below). Figure 1 (Taking a first control unit in the first control module as an example) The first control unit 121 is electrically connected to the signal processing unit 111 and the second control module 13, respectively. The first control unit 121 is configured to: according to a first electroencephalogram signal collected by a first contact group 1111 in the signal processing unit 111 electrically connected to the first control unit 121, control a second contact 1112 in the signal processing unit 111 to apply a first electric stimulus for blocking the first electroencephalogram signal, and send first information to the second control module 13; wherein the first information indicates a first to-be-detected region corresponding to the signal processing unit 111; The second control module 13 is configured to perform the following operations: According to a propagation change trend of a historical electroencephalogram signal in space and the first to-be-detected region, determine a propagation change region of the first electroencephalogram signal; wherein the collection time of the historical electroencephalogram signal is earlier than the collection time of the first electroencephalogram signal; the propagation change trend is generated according to the time sequence and / or feature difference of at least three historical electroencephalogram signals; Output a control instruction to a second contact 1112 in a target signal processing unit 111; wherein the to-be-detected region corresponding to the target signal processing unit 111 is a propagation change region of the first to-be-detected region; the control instruction is used to instruct the second contact 1112 in the target signal processing unit 111 to apply an electric stimulus.

[0016] Optionally, in the embodiments of the present application, the number of signal processing units included in the signal processing module and the placement region of the signal processing units (i.e., the to-be-detected region corresponding to the signal processing unit) can be set based on actual needs.

[0017] Optionally, in some embodiments, during the operation of the electroencephalogram detection device described above, the signal processing module can be integrated on a deep electrode and / or a cortical electrode; wherein, in the case that the signal processing module is integrated on a deep electrode, the deep electrode can be implanted into the deep part of the brain of the target object, so that the electroencephalogram signals of different regions of the deep part of the brain can be detected by the signal processing units in the signal processing module; in the case that the signal processing module is integrated on a cortical electrode, the cortical electrode can be attached to the surface of the cerebral cortex of the target object through a flexible substrate bearing the cortical electrode, for example, it can be placed on the dura mater (or "epidural") or under the dura mater (or "subdural"), so that the electroencephalogram signals of different regions of the cerebral cortex can be detected by the signal processing units in the signal processing module; at the same time, the first control module and the second control module can be integrated in the same stimulator, which can be fixed on the skull of the target object (specifically, it can be directly fixed on the skull, or by setting a recess on the skull, embedding the control unit in the recess (for example, by setting a tray matched with the control unit, embedding the tray in the recess, and bearing the control unit through the tray)), to generate a signal map reflecting the spatiotemporal setting characteristics of the electroencephalogram signal.

[0018] Optionally, the flexible substrate can be a biocompatible flexible film, which can be made of polyimide, medical silicone, or the like, and the present application is not limited thereto. The flexible substrate can be in a strip shape, a grid shape, or a mesh shape, so as to better conform to the curvature of the brain surface, adhere to the surface of the cerebral cortex, reduce tissue damage, and improve long-term stability.

[0019] Optionally, the specific position of the deep electrode implanted in the deep brain of the target object can be determined according to actual needs, for example, the position where the electroencephalogram needs to be detected.

[0020] For example, the implantation position of the deep electrode can be the thalamus, the medial part of the globus pallidus, the hippocampus, the amygdala, the basal ganglia, and the like, and each part can be further distinguished according to the left and right brain, for example, the left thalamus, the left medial part of the globus pallidus, the left hippocampus, the left amygdala, the right thalamus, the right medial part of the globus pallidus, the right hippocampus, the right amygdala, the anterior part of the hippocampus, and the posterior part of the hippocampus.

[0021] Optionally, the specific position of the cortical electrode adhering to the surface of the cerebral cortex of the target object can be determined according to actual needs, for example, the position where the electroencephalogram needs to be detected.

[0022] Optionally, in some embodiments, during the operation of the electroencephalogram detection device, each contact in the signal processing unit can be connected to the first control unit electrically connected to the signal processing unit through independent electrical connection (for example, wire connection), so that the first control unit can independently address and configure each contact in the signal processing unit electrically connected thereto, and set the working mode of each contact. At the same time, each contact in the signal processing unit can be connected to the second control module through independent electrical connection (for example, wire connection), so that the second control module can independently address and configure each contact in the signal processing unit electrically connected thereto, and set the working mode of each contact.

[0023] Optionally, the working mode of each contact can include a detection mode (or a "recording mode") or a stimulation mode. In the case where the working mode of the contact is the detection mode, the contact can be referred to as a "detection contact" or a "recording contact", and can be used to detect the electroencephalogram of the area where it is located. In the case where the working mode of the contact is the stimulation mode, the contact can be referred to as a "stimulation contact", and can be used to apply electrical stimulation to the area where it is located. Optionally, in the case where the working mode of the contact is the stimulation mode, the contact can act as an anode, a cathode, or a disconnected / insulated state for applying electrical stimulation.

[0024] Optionally, the first control module and the second control module can each specifically include an amplifier and a stimulation generator, wherein the detection contact or the recording contact can be preferentially connected to a high-input-impedance and low-noise recording amplifier, so as to better upload the brain electrical signals detected thereby; and the lead of the stimulation contact can be preferentially connected to a high-output-current-capability stimulation generator, so as to better receive control and apply a pulse signal.

[0025] Optionally, in some embodiments, the time sequence of the brain electrical signals can be determined based on the order of time when the brain electrical signals are detected.

[0026] Optionally, in some embodiments, the characteristics of the brain electrical signals can be determined by at least one of the following parameters: type, frequency, amplitude, waveform, etc. of the brain electrical signals.

[0027] Optionally, in some embodiments, the first control module and the second control module can also be used in cooperation with a terminal such as an electroencephalograph, for example, the first control module and the second control module can send the spatial propagation trend of the historical brain electrical signals generated thereby in the form of a signal map to the terminal through a wireless connection or the like, so that the visualization of the signal map can be realized through the display interface of the terminal, to set the characteristics of the real-time brain electrical signals in space and time, and to provide data support for accurate regulation and control of the electrical stimulation.

[0028] As an application scenario, in the case where the brain electrical signal detection device provided in the embodiments of the present application is used to detect and block brain electrical signals caused by epilepsy, the brain electrical waves of a patient can be acquired through the signal processing module, the brain electrical waves are analyzed, and the optimal electrical stimulation is output according to the characteristics of abnormal brain electrical waves (such as factors such as type, frequency, amplitude, waveform, etc. of abnormal brain electrical waves), so as to timely block abnormal brain electrical signals.

[0029] In some embodiments, the brain electrical signal detection device can be applied to an implantable closed-loop neural stimulation system, which can be used for neuroscientific research, brain-computer interface research, treatment of target diseases, etc.

[0030] The implantable closed-loop neural stimulation system can collect brain electrical signals through electrodes placed near the epileptogenic focus of a patient, perform real-time analysis, predict or monitor the seizure of the patient in real time. When detecting that the brain electrical signals of the patient are abnormal, the target brain area is automatically given electrical stimulation through the electrodes, to inhibit the excessive synchronization of brain neurons, so as to achieve the purpose of inhibiting the seizure of epilepsy. The electrical stimulation can also be referred to as an electrical stimulation signal, for example, which can be a pulse signal.

[0031] In some embodiments, referring to Figure 2In the case where the EEG signal detection device provided in the embodiments of the present application is applied to an implantable closed-loop neural stimulation system, the deep electrode 21 in the implantable closed-loop neural stimulation system can be implemented based on the signal processing module in the EEG signal detection device provided in the embodiments of the present application, that is, the deep electrode can be implanted into the deep brain of a target object (for example, a human body, but the target object is not limited to a human body) to detect the EEG signal of the deep brain. Figure 2 The cortical electrode 22 in the implantable closed-loop neural stimulation system can be implemented based on the signal processing module in the EEG signal detection device provided in the embodiments of the present application, for example, the cortical electrode can be attached to the dura mater (or "epidural") through a flexible substrate carrying the cortical electrode to detect the EEG signal of the cerebral cortex.

[0032] Optionally, in some embodiments, the EEG signals collected by each contact provided in the embodiments of the present application can be analyzed to obtain the signal features of the EEG signals collected by each contact in the "resting state" and the signal features in the "non-resting state". For example, for a certain contact, the EEG signals collected by the contact within 72 hours can be analyzed, the signal features in 70% to 80% of the time length are determined as the signal features in the "resting state", and the corresponding "normal EEG signal" can be regarded as the "normal EEG signal"; the signal features in other time lengths are determined as the signal features in the "non-resting state", and the corresponding "abnormal EEG signal" can be regarded as the "abnormal EEG signal".

[0033] Optionally, in some embodiments, in the case where the signal features of the first EEG signal are the signal features in the "resting state" (that is, the EEG signal is a normal EEG signal), the blocking operation can not be performed, that is, the first electric stimulation for blocking the first EEG signal does not need to be generated; in the case where the signal features of the first EEG signal are the signal features in the "non-resting state" (that is, the EEG signal is an abnormal EEG signal), the blocking operation can be performed, that is, the first electric stimulation for blocking the first EEG signal is generated and applied to the target area through the second contact.

[0034] Optionally, in the embodiments of the present application, for a certain signal processing unit, after the first EEG signal is collected by the first contact group in the signal processing unit, the first control unit electrically connected to the signal processing unit can determine the area (for example, the deep brain or the cerebral cortex) contacted by the signal processing unit as the target area.

[0035] Optionally, in some embodiments, the signal feature of the electrical stimulation can be determined based on the difference between the signal feature of the abnormal brain electrical signal and the signal feature of the normal brain electrical signal. The present embodiments do not limit the specific determination manner of the electrical stimulation as long as the brain electrical signal detected for the target region becomes the normal brain electrical signal by applying the electrical stimulation to the target region.

[0036] Optionally, the first electrical stimulation can be a pulse signal, and the signal feature of the first electrical stimulation can be represented by parameters such as type, frequency, amplitude, waveform, etc.

[0037] Optionally, the signal feature of the first electrical stimulation can be a default signal feature, for example, the stimulation current can be 1.5 mA.

[0038] Optionally, in some embodiments, in a case where it is determined that the frequency of the abnormal brain electrical signal detected by the first signal processing unit is increased, the default signal feature thereof can be reduced to better weaken the abnormal brain electrical signal, so that the detected brain electrical signal tends to be normal. In some embodiments, in a case where it is determined that the frequency of the abnormal brain electrical signal detected by the first signal processing unit is decreased, the default signal feature thereof can be reduced to better save energy and reduce power consumption. In some embodiments, in a case where the default signal feature of a signal processing unit is reduced, and it is determined that the frequency of the abnormal brain electrical signal detected by the signal processing unit can still be reduced, the default signal feature of the signal processing unit can be reduced to better save energy and reduce power consumption.

[0039] In the present embodiments, the first control unit controls the second contact group in the signal processing unit to apply the first electrical stimulation for blocking the first brain electrical signal by directly collecting the first brain electrical signal from the first contact group in the signal processing unit to which the first control unit is electrically connected. In this way, the blocking can be performed in time when the first brain electrical signal is detected by the signal processing unit.

[0040] Optionally, the first control unit can send the first information to the second control module to trigger the second control module to determine whether to perform the centralized control operation, i.e., whether the second contact in the other signal processing unit (i.e., the target signal processing unit) needs to apply the electrical stimulation.

[0041] Optionally, the first information can be a preset electrical stimulation, and the present embodiments do not limit the signal feature such as frequency or amplitude of the electrical stimulation.

[0042] Optionally, the trend of the spatial propagation of the historical electroencephalogram signal can be determined based on the time sequence and / or feature difference of the historical electroencephalogram signal. The determination manner of the embodiments of the present application is not limited specifically. For example, the regions where the historical electroencephalogram signal is detected are sequentially connected according to the order of the time when the at least three historical electroencephalogram signals are detected, to obtain the trend of the spatial propagation of the historical electroencephalogram signal. For another example, the regions where the historical electroencephalogram signal is detected are sequentially connected according to the order of the amplitude of the at least three historical electroencephalogram signals from strong to weak, to obtain the trend of the spatial propagation of the historical electroencephalogram signal.

[0043] Optionally, a signal map reflecting the spatiotemporal setting feature of the historical electroencephalogram signal can be generated according to the historical electroencephalogram signals detected at multiple time periods and the determined trend of the spatial propagation (which can also be referred to as a "propagation path").

[0044] Optionally, the second control module can take the first to-be-detected region as a starting point in the signal map, match at least one propagation path corresponding to the first to-be-detected region, take the regions involved in the propagation path as the propagation change region of the first electroencephalogram signal, determine the signal processing unit corresponding to the propagation change region as a target signal processing unit, and output a control instruction to the second contact in the target signal processing unit.

[0045] Optionally, based on the control instruction, the electrical stimulation (which can be referred to as "second electrical stimulation") indicated to be applied by the second contact can be the same as or weaker than the first electrical stimulation. For example, the frequency of the second electrical stimulation is lower than the frequency of the first electrical stimulation, the amplitude of the second electrical stimulation is smaller than the frequency of the first electrical stimulation, and the like.

[0046] In the embodiments of the present application, the first control unit sends the first information indicating the first to-be-detected region corresponding to the signal processing unit to the second control module. In this way, the second control module can determine the propagation change region of the first electroencephalogram signal according to the trend of the spatial propagation of the historical electroencephalogram signal and the first to-be-detected region, and output a control instruction to the second contact in the target signal processing unit corresponding to the propagation change region, to instruct the second contact to apply electrical stimulation. In this way, the propagation of the first electroencephalogram signal to the propagation change region where the target signal processing unit is located can be blocked in advance, the efficiency of the subsequent processing operation based on the electroencephalogram signal is improved, the electroencephalogram signal has a stable spatiotemporal setting feature, and the electrical potential of the neural brain cells is controlled to be at a resting potential.

[0047] Optionally, referring to Figure 3 In the signal processing unit, the first contact group includes at least three first contacts, and the second contact is arranged around the at least three first contacts.

[0048] Optionally, based on the above description of the working mode of the contact, the first contact can be referred to as a "detection contact", and the "second contact" can be referred to as a "stimulation contact". Among them, the second contact can also be referred to as a "stimulation core", and the first contact group surrounding the second contact can be referred to as a "micro-sensing array". Each signal processing unit can be referred to as an "intervention cluster unit", so that in the brain electrical signal detection device, a plurality of "intervention cluster units" can be included.

[0049] Optionally, in the signal processing unit, taking the first contact (i.e. the detection contact) as "R" and the second contact (i.e. the stimulation contact) as "S" as an example, each second contact is surrounded by at least three first contacts, and the top view of the signal processing unit can form a topological structure on the two-dimensional plane as shown in the figure. That is: Figure 3 … R-S-R-S S-R-R-R R-R-S-R S-R-R-S … Optionally, in some embodiments, the diameter of the first contact in the first contact group ranges from 0.3 to 0.5 millimeters, and the center distance between the first contacts ranges from 0.5 to 1.0 millimeters. The material of the first contact includes platinum black plated or platinum-iridium alloy nitrided titanium.

[0050] Optionally, in some embodiments, the first contact with a diameter of 0.3 millimeters is used to detect high-frequency oscillation signals with a frequency range of 80-500 Hz.

[0051] Optionally, by generating the first contact based on platinum black plated or platinum-iridium alloy nitrided titanium, the effective surface area of the first contact can be maximized, and the sensitivity of detecting weak brain electrical signals can be significantly improved.

[0052] Optionally, the diameter of the second contact 1112 can range from at least one of the following: 0.6-0.8 millimeters, 1.0-1.2 millimeters, and 1.5-2.5 millimeters.

[0053] Optionally, the material of the second contact can include smooth or microporous platinum-iridium alloy, that is, by generating the second contact based on smooth or microporous platinum-iridium alloy, the charge injection capability of the second contact can be optimized to provide stronger stimulation current.

[0054] ​Optionally, the smaller the diameter range of the contact is, the higher the sensitivity of the brain electrical signal that the contact can detect is. In the case that the diameter of the first contact is set to 0.3 mm, the frequency range of the brain electrical signal that the contact can detect can be as high as 80-500 Hz, that is, the detection of high frequency oscillation (HFO) signals can be realized.

[0055] Optionally, in some embodiments, the signal processing unit further comprises a material storage sub-unit, and the material storage sub-unit is configured to release the stored material under the control of the first control unit.

[0056] Optionally, in the signal processing module, the material storage sub-unit in each signal processing unit can be arranged between different signal processing units, so as to isolate the signal crosstalk between different signal processing units.

[0057] Optionally, the carrier material of the material storage sub-unit can be a certain specific drug, that is, the material stored in the material processing sub-unit is a drug, so that the material storage sub-unit can release the stored drug under the control of the first control unit.

[0058] As a specific example, the electroencephalogram signal detection device provided in the embodiments of the present application is applied to an implantable closed-loop neural stimulation system. Since the implantable closed-loop neural stimulation system includes a deep electrode implanted in a target object, in the case that the deep electrode is implemented by a signal processing unit, the material storage sub-unit in the deep electrode can release the stored drug after the deep electrode is implanted in the target object, so as to avoid infection and relieve inflammation in the acute implantation period, and avoid errors in the detection results caused by inflammation.

[0059] Optionally, in some embodiments, the power consumption of the first control module is lower than that of the second control module.

[0060] Optionally, referring to the above, each first control unit only needs to control the second contact in the signal processing unit associated with the first control unit to apply electrical stimulation based on the detection result of the first contact in the signal processing unit, while the second control unit needs to perform global control, and any signal processing unit can be determined as a target signal processing unit. Therefore, the power consumption of the first control module is generally lower than that of the second control module.

[0061] Optionally, in the embodiments of the present application, the first control module can be referred to as an "edge sentinel" to realize the intervention of a single signal processing unit in a reflex arc; and the second control module can be referred to as a "central commander" to realize the global intervention of the entire signal module.

[0062] Optionally, in some embodiments, the second control module is further configured to: receive at least one set of historical electroencephalogram signals sent by each processing submodule in the first control module; each set of historical electroencephalogram signals includes at least three historical electroencephalogram signals; determine the propagation change trend according to the collection time, signal intensity, and corresponding detection area of the at least three historical electroencephalogram signals.

[0063] Optionally, in the embodiments of the present application, each detected electroencephalogram signal can be used as a historical electroencephalogram signal, that is, in the embodiments of the present application, a self-loop can be realized, that is, the electroencephalogram signal detection is performed in a closed loop.

[0064] Optionally, the present application does not limit the specific number of historical electroencephalogram signals in each set, and it is only required that the number is greater than three.

[0065] Optionally, by obtaining the collection time, signal intensity, and corresponding detection area of each set of historical electroencephalogram signals, the propagation change trend of each set of historical electroencephalogram signals can be determined based on at least one of the following: time sequence, signal intensity, and causal analysis.

[0066] In the embodiments of the present application, by obtaining the collection time, signal intensity, and corresponding detection area of at least one set of historical electroencephalogram signals, and then determining the propagation change trend of the electroencephalogram signals, global evaluation of the electroencephalogram signals can be realized, and a dynamic propagation network of the electroencephalogram signals can be constructed.

[0067] Optionally, in some embodiments, the determination of the propagation change trend according to the collection time, signal intensity, and corresponding detection area of the at least three historical electroencephalogram signals includes: determining a target electroencephalogram signal with the strongest signal intensity and / or the earliest collection time among the at least three historical electroencephalogram signals; using the detection area corresponding to the target electroencephalogram signal as a signal source area among the at least three historical electroencephalogram signals; using the signal source area as a propagation starting point, and sequentially connecting the detection areas corresponding to the historical electroencephalogram signals according to the trend from early to late of the collection time of the other electroencephalogram signals among the at least three historical electroencephalogram signals except the target electroencephalogram signal, or the trend from strong to weak of the signal intensity of the other electroencephalogram signals, to obtain the propagation change trend.

[0068] Optionally, in the embodiments of the present application, the manner of determining the propagation change trend can be a time sequence-based algorithm. Specifically, the region to be detected where the contact that first detects the electroencephalogram signal (i.e., the target electroencephalogram signal) is located can be determined as the source of the electroencephalogram signal (i.e., the signal source region), and the regions to be detected where the contacts that detect the electroencephalogram signal are sequentially connected in the order of time sequence, to obtain the propagation path of the electroencephalogram signal, i.e., the propagation change trend.

[0069] Optionally, in the embodiments of the present application, the manner of determining the propagation change trend can be a signal strength-based algorithm. Specifically, the region to be detected where the contact that detects the strongest electroencephalogram signal (i.e., the target electroencephalogram signal) is located can be determined as the source of the electroencephalogram signal (i.e., the signal source region), and the regions to be detected where the contacts that detect the electroencephalogram signal are sequentially connected in the order of signal strength from strong to weak, to obtain the propagation path of the electroencephalogram signal, i.e., the propagation change trend.

[0070] Optionally, in some embodiments, the determining the propagation change trend according to the collection time, signal strength and corresponding region to be detected of the at least three historical electroencephalogram signals comprises: determining the causality strength between any two of the at least three historical electroencephalogram signals according to a preset causality analysis algorithm; sequentially connecting the regions to be detected corresponding to the historical electroencephalogram signals in the order of causality strength from strong to weak, to obtain the propagation change trend.

[0071] Optionally, in the embodiments of the present application, the manner of determining the propagation change trend can be a causality analysis-based algorithm. Specifically, the causality strength between any two of the detected electroencephalogram signals can be established according to a causality analysis algorithm (e.g., Granger causality analysis or directed transfer function), and the regions to be detected where the contacts that detect the electroencephalogram signal are sequentially connected in the order of causality strength from strong to weak, to obtain the propagation path of the electroencephalogram signal, i.e., the propagation change trend.

[0072] In the embodiments of the present application, the propagation change trend of the electroencephalogram signal is determined in multiple ways, which enriches the determination manner of the propagation change trend of the electroencephalogram signal.

[0073] Optionally, in some embodiments, the determining the propagation change region of the first electroencephalogram signal according to the propagation change trend of the historical electroencephalogram signal in space and the first region to be detected comprises: determining a target propagation change trend associated with the first region to be detected in the propagation change trend; determining the region involved in the target propagation change trend as the propagation change region, with the first region to be detected as the propagation starting point.

[0074] Optionally, the propagation change trend involving the region including the first to-be-detected region can be screened out from at least one propagation change trend, and the screened propagation change trend is determined as the target propagation change trend.

[0075] Optionally, referring to the above, the propagation change trend has directionality, and therefore, the first to-be-detected region can be taken as a propagation starting point according to the directionality of the propagation change trend, and a region pointed to by the propagation starting point in the target propagation change trend is determined as a propagation change region.

[0076] In the embodiment of the application, the propagation change region of the first electroencephalogram signal is determined, and a control instruction is output to a second contact in a target signal processing unit corresponding to the propagation change region, instructing the second contact to apply an electric stimulus, so that the first electroencephalogram signal can be blocked from propagating to the propagation change region where the target signal processing unit is located, the efficiency of subsequent processing operations based on the electroencephalogram signal is improved, the electroencephalogram signal has a stable space-time setting feature, and the electric potential of the neural brain cell is controlled to be a resting electric potential.

[0077] Optionally, in some embodiments, the control of the second contact in the signal processing unit to apply the first electric stimulus for blocking the first electroencephalogram signal comprises: the first contact in the first contact group in the signal processing unit is controlled as a cathode for applying the first electric stimulus, and the second contact in the signal processing unit applies the first electric stimulus as a cathode.

[0078] Optionally, in some embodiments, in the case where the first electroencephalogram signal includes a microsecond-level high-frequency oscillation signal or a spike signal, the first electric stimulus can include a biphasic charge balance pulse. That is, the electroencephalogram signal detection device provided in the embodiment of the application can realize detection of a microsecond-level high-frequency oscillation signal or a spike signal, and has high detection sensitivity and accuracy.

[0079] Optionally, after the first electric stimulus is determined, the working mode of the contact detecting the electroencephalogram signal can be further switched, for example, the working mode of the contact is switched from a detection / recording mode to a stimulation mode, so that the first electric stimulus is applied to the target region through the contact. Specifically, the first contact in the first contact group in the signal processing unit and the second contact are both switched to the stimulation mode, wherein the first contact is taken as a cathode for applying the first electric stimulus, and the second contact applies the first electric stimulus as a cathode, so as to weaken the first electroencephalogram signal, so that the electroencephalogram signal detected by the first contact group becomes a normal electroencephalogram signal.

[0080] In order to more clearly illustrate the working principle of the electroencephalogram signal detection device provided by the embodiments of the present application, the following takes the application of the electroencephalogram signal detection device to an implantable closed-loop neural stimulation system as an example to illustrate the process of the implantable closed-loop neural stimulation system intervening in the electroencephalogram signal of a left temporal lobe epilepsy patient.

[0081] 1. Event detection: The cluster unit L-Amyg (a first contact group in the signal processing unit L-Amyg) located in the left amygdala detects a significant HFOs burst (i.e., the first electroencephalogram signal is HFOs).

[0082] 2. Edge response: The L-Amyg node (i.e., the first control unit electrically connected to the signal processing unit L-Amyg) immediately triggers (i.e., the response time is less than five milliseconds) a short array pulse stimulation (i.e., the second contact in the signal processing unit L-Amyg applies a first electrical stimulation, and the first electrical stimulation is a short array pulse stimulation).

[0083] 3. Information reporting: The L-Amyg node reports to the center: “cluster unit L-Amyg, HFOs event, L1 stimulation has been implemented” (i.e., the first control unit electrically connected to the signal processing unit L-Amyg sends first information to the second control module, and the first information indicates that the first contact group in the signal processing unit L-Amyg detects the first electroencephalogram signal, and the second contact in the signal processing unit L-Amyg applies the first electrical stimulation, which is the L1 stimulation, the short array pulse stimulation).

[0084] 4. Central decision: The central coordinator queries the epilepsy network graph and finds that the cluster unit L-Amyg has a strong causal relationship with the left anterior hippocampus L-HPC(a) (i.e., the second control module determines that the propagation change region of the first to-be-detected region (the to-be-detected region corresponding to the signal processing unit L-Amyg) includes the left anterior hippocampus L-HPC(a)).

[0085] 5. Predictive action: The central coordinator sends an instruction to the L-HPC(a) node (i.e., the target processing unit): “high alert, if an abnormality occurs within 100 ms, immediately execute L2 stimulation” (i.e., the second control module outputs a control instruction to the target signal processing unit corresponding to the left anterior hippocampus L-HPC(a), and the control instruction is “high alert, if an abnormality occurs within 100 ms, immediately execute L2 stimulation”).

[0086] 6. Result: Scenario A (success): The L-HPC(a) does not appear abnormal, and the event subsides (i.e., the electroencephalogram signal detected by the first contact group in the signal processing unit L-Amyg returns to the normal electroencephalogram signal). The system records this local intervention success.

[0087] Scenario B (propagation): L-HPC(a) appears a spiking wave after 80 ms, its edge node immediately executes L2 stimulation, successfully blocking the propagation (i.e. the first contact group in the target processing unit, upon detecting the spiking wave, immediately applies an electrical stimulation through the second contact, blocking the propagation of the abnormal electroencephalogram signal). The system strengthens the weight of the propagation path of "L-Amyg→L-HPC(a)", and sets a shorter warning window for the next similar event (i.e. taking the propagation trend of "L-Amyg→L-HPC(a)" as the new spatial propagation trend of the historical electroencephalogram signal).

[0088] 7. Optimization: the system compares the electrical activities of L-Amyg and L-HPC(a) before and after the stimulation, and automatically fine-tunes the stimulation current of L-Amyg from 1.5 mA to 1.3 mA (i.e. updating the default parameters of the first electrical stimulation applied by the second contact in the first signal processing unit), finding that it is also effective, and then updating the parameters to save energy consumption.

[0089] Based on the same principle as the electroencephalogram signal detection device provided in the embodiments of the present application, the embodiments of the present application also provide an electroencephalogram signal control method. Referring to Figure 4 , the electroencephalogram signal control method is applied to an electroencephalogram signal detection device, and the electroencephalogram signal detection device includes a signal processing module; the signal processing module includes: at least two signal processing units respectively used for processing the electroencephalogram signals of different to-be-detected regions, and the electroencephalogram signal control method includes: Step 401, controlling the second contact to apply a first electrical stimulation for blocking the first electroencephalogram signal according to the first electroencephalogram signal collected by the first contact group in the signal processing unit; Step 402, determining a propagation change region of the first electroencephalogram signal according to the spatial propagation trend of the historical electroencephalogram signal and the first to-be-detected region corresponding to the signal processing unit; wherein, the collection time of the historical electroencephalogram signal is earlier than the collection time of the first electroencephalogram signal; and the propagation trend is generated according to the time sequence and / or feature difference of at least three historical electroencephalogram signals; Step 403, outputting a control instruction to the second contact in the target signal processing unit; wherein, the to-be-detected region corresponding to the target signal processing unit is the propagation change region of the first to-be-detected region; and the control instruction is used for instructing the second contact in the target signal processing unit to apply an electrical stimulation.

[0090] Optionally, in some embodiments, the first contact group includes at least three first contacts, and the second contact is arranged around the at least three first contacts.

[0091] Optionally, in some embodiments, the signal processing unit further comprises a material storage subunit, and the method further comprises: controlling the material storage subunit to release the stored material.

[0092] Optionally, in some embodiments, the method further comprises: receiving at least one set of historical electroencephalogram signals; each set of historical electroencephalogram signals comprises at least three historical electroencephalogram signals; determining the propagation change trend according to the collection time, signal intensity and corresponding detection area of the at least three historical electroencephalogram signals.

[0093] Optionally, in some embodiments, the determining the propagation change trend according to the collection time, signal intensity and corresponding detection area of the at least three historical electroencephalogram signals comprises: determining a target electroencephalogram signal with the strongest signal intensity and / or the earliest collection time among the at least three historical electroencephalogram signals; regarding the detection area corresponding to the target electroencephalogram signal as the signal source area among the at least three historical electroencephalogram signals; connecting the detection areas corresponding to the historical electroencephalogram signals in sequence according to the trend from early to late of the collection time of the historical electroencephalogram signals other than the target electroencephalogram signal, or the trend from strong to weak of the signal intensity of the historical electroencephalogram signals other than the target electroencephalogram signal, taking the signal source area as the propagation starting point, to obtain the propagation change trend.

[0094] Optionally, in some embodiments, the determining the propagation change trend according to the collection time, signal intensity and corresponding detection area of the at least three historical electroencephalogram signals comprises: determining the causal relationship strength between any two historical electroencephalogram signals among the at least three historical electroencephalogram signals according to a preset causal analysis algorithm; connecting the detection areas corresponding to the historical electroencephalogram signals in sequence according to the order from strong to weak of the causal relationship strength, to obtain the propagation change trend.

[0095] Optionally, in some embodiments, the determining the propagation change region of the first electroencephalogram signal according to the propagation change trend of the historical electroencephalogram signals in space and the first detection area comprises: determining a target propagation change trend associated with the first detection area in the propagation change trend; regarding the first detection area as the propagation starting point, and determining the region involved in the target propagation change trend as the propagation change region.

[0096] Optionally, in some embodiments, the controlling the second contact in the signal processing unit to apply the first electrical stimulation for blocking the first electroencephalogram signal comprises: controlling a first contact in the first contact group in the signal processing unit as a cathode for applying the first electrical stimulation, and a second contact in the signal processing unit as a cathode for the first electrical stimulation, and applying the first electrical stimulation.

[0097] Optionally, in some embodiments, a diameter of the first contact in the first contact group ranges from 0.3 to 0.5 millimeters, and a center distance between the first contacts ranges from 0.5 to 1.0 millimeter. The material of the first contact includes platinum black or platinum-iridium alloy nitrided titanium.

[0098] Optionally, in some embodiments, the first contact with a diameter of 0.3 millimeter is used to detect a high-frequency oscillation signal with a frequency ranging from 80 to 500 Hz.

[0099] Based on the same principle as the electroencephalogram signal detection device and the electroencephalogram signal control method provided in the embodiments of the present application, an electronic device (such as a server) is also provided in the embodiments of the present application. The electronic device can include a memory, a processor, and a computer program stored in the memory. The processor executes the computer program to implement the method provided in any of the optional embodiments of the present application.

[0100] The signal processing system of the embodiments of the present application can execute the method provided in the embodiments of the present application, and the implementation principle is similar. The actions performed by each module in the signal processing system of the embodiments of the present application correspond to the steps in the method of the embodiments of the present application. For the detailed function description of each module of the signal processing system, refer to the description of the corresponding method in the foregoing description, which will not be described here.

[0101] In an optional embodiment, a signal processing system is also provided, as shown in Figure 5 The signal processing system 5000 shown in Figure 5 The signal processing system 5000 shown in the signal processing system 5000 includes a processor 5001 and a memory 5003. The processor 5001 and the memory 5003 are connected, such as through a bus 5002. Optionally, the signal processing system 5000 can also include a transceiver 5004, which can be used for data interaction between the signal processing system and other electronic devices, such as data transmission and / or data reception, etc. It should be noted that in actual application, the transceiver 5004 is not limited to one, and the structure of the signal processing system 5000 does not constitute a limitation on the embodiments of the present application.

[0102] The processor 5001 can be a CPU (Central Processing Unit), a general-purpose processor, a DSP (Digital Signal Processor), an ASIC (Application Specific Integrated Circuit), an FPGA (Field Programmable Gate Array) or other programmable logic device, transistor logic device, hardware component, or any combination thereof. It can implement or execute various exemplary logical blocks, modules and circuits described in connection with the disclosure. The processor 5001 can also be a combination of computing functions, such as a combination of one or more microprocessors, a combination of a DSP and a microprocessor, etc.

[0103] The bus 5002 can include a path for transmitting information between the above-mentioned components. The bus 5002 can be a PCI (Peripheral Component Interconnect) bus or an EISA (Extended Industry Standard Architecture) bus, etc. The bus 5002 can be divided into an address bus, a data bus, a control bus, etc. For convenience of representation, Figure 5 In the figure, only one thick line is used to represent the bus, but it does not mean that there is only one bus or only one type of bus.

[0104] The memory 5003 can be a ROM (Read Only Memory) or other type of static storage device that can store static information and instructions, a RAM (Random Access Memory) or other type of dynamic storage device that can store information and instructions, an EEPROM (Electrically Erasable Programmable Read Only Memory), a CD-ROM (Compact Disc Read Only Memory) or other optical disk storage, an optical disk storage (including a compact disk, a laser disk, an optical disk, a digital versatile disk, a Blu-ray disk, etc.), a magnetic disk storage medium, other magnetic storage device, or any other medium capable of carrying or storing computer programs and capable of being read by a computer, without limitation.

[0105] The memory 5003 is configured to store a computer program for implementing the embodiments of the present application, and the processor 5001 is configured to control the execution of the computer program stored in the memory 5003. The processor 5001 is configured to execute the computer program stored in the memory 5003 to implement the steps shown in the foregoing method embodiments.

[0106] The embodiments of the present application provide a computer readable storage medium, and the computer readable storage medium stores a computer program. The computer program is executed by a processor to implement the steps and corresponding contents of the foregoing method embodiments.

[0107] The embodiments of the present application also provide a computer program product, which includes a computer program. The computer program is executed by a processor to implement the steps and corresponding contents of the foregoing method embodiments.

[0108] The terms "first", "second", "third", "fourth", "1", "2", and the like (if any) in the specification and claims of the present application and the above-described drawings are used to distinguish similar objects, and do not necessarily have to describe a specific order or sequence. It should be understood that the data thus used can be interchanged under appropriate circumstances, so that the embodiments of the present application described herein can be implemented in an order other than that illustrated or described.

[0109] It should be understood that, although the flowcharts of the embodiments of the present application indicate the respective operation steps by arrows, the implementation order of the steps is not limited to the order indicated by the arrows. Unless otherwise specified herein, in some implementation scenarios of the embodiments of the present application, the implementation steps in each flowchart can be executed in other orders as required. In addition, part or all of the steps in each flowchart can include multiple sub-steps or multiple stages based on the actual implementation scenario. Part or all of these sub-steps or stages can be executed at the same time, and each of these sub-steps or stages can also be executed at different times. In the scenario where the execution times are different, the execution order of these sub-steps or stages can be flexibly configured as required, and the embodiments of the present application do not limit this.

[0110] The above is only an optional implementation of some implementation scenarios of the present application. It should be pointed out that, for those skilled in the art, other similar implementation means based on the technical concept of the present application can also be adopted without departing from the technical concept of the present application, and such implementation means also belong to the protection scope of the embodiments of the present application.

Claims

1. An electroencephalogram detecting apparatus characterized by comprising: The application relates to a signal processing module, a first control module and a second control module. The signal processing module comprises at least two signal processing units for processing electroencephalogram signals of different detection areas; the first control module comprises at least two first control units, which are electrically connected with the signal processing units and the second control module, The first control unit is used for controlling a second contact of the signal processing unit to apply a first electric stimulus for blocking a first electroencephalogram signal according to the first electroencephalogram signal collected by a first contact group of the signal processing unit, and sending first information to the second control module; wherein the first information indicates a first detection area corresponding to the signal processing unit. The second control module is used for performing the following operations: According to a propagation change trend of historical electroencephalogram signals in space and the first detection area, a propagation change area of the first electroencephalogram signal is determined; wherein the collection time of the historical electroencephalogram signals is earlier than that of the first electroencephalogram signal; the propagation change trend is generated according to the time sequence and / or feature difference of at least three historical electroencephalogram signals; A control instruction is output to a second contact of a target signal processing unit; wherein the detection area corresponding to the target signal processing unit is the propagation change area of the first detection area; the control instruction is used for instructing the second contact of the target signal processing unit to apply an electric stimulus. The first contact group comprises at least three first contacts, and the second contact is arranged around the at least three first contacts.

2. The electroencephalographic signal detection device of claim 1, wherein, The signal processing unit further comprises a material storage subunit, which is used for releasing the stored material under the control of the first control unit.

3. The electroencephalographic signal detection apparatus according to claim 1 or 2, characterized in that, The second control module is further used for:

4. The electroencephalographic signal detection apparatus according to claim 1 or 2, characterized by, Receiving at least one group of historical electroencephalogram signals sent by each processing sub-module of the first control module; each group of historical electroencephalogram signals comprises at least three historical electroencephalogram signals; According to the collection time, signal intensity and corresponding detection area of the at least three historical electroencephalogram signals, the propagation change trend is determined. The determination of the propagation change trend according to the collection time, signal intensity and corresponding detection area of the at least three historical electroencephalogram signals comprises:

5. The electroencephalographic signal detection apparatus of claim 4, wherein, Determining a target electroencephalogram signal with the strongest signal intensity and / or the earliest collection time among the at least three historical electroencephalogram signals; Taking the detection area corresponding to the target electroencephalogram signal as a signal source area among the at least three historical electroencephalogram signals; According to the trend from early to late of the collection time of other electroencephalogram signals except the target electroencephalogram signal among the at least three historical electroencephalogram signals, or the trend from strong to weak of the signal intensity of the other electroencephalogram signals, the detection areas corresponding to the historical electroencephalogram signals are sequentially connected, and the propagation change trend is obtained. The determination of the propagation change trend according to the collection time, signal intensity and corresponding detection area of the at least three historical electroencephalogram signals comprises:

6. The electroencephalographic signal detection apparatus of claim 4, wherein, ​ determine a causal relationship strength between any two of the at least three historical electroencephalogram signals according to a preset causal analysis algorithm; connect the first detection area and the historical electroencephalogram signals in sequence according to the order from strong to weak of the causal relationship strength, and obtain the propagation change trend.

7. The electroencephalographic signal detection apparatus of claim 4, wherein, The determination of the propagation change region of the first electroencephalogram signal according to the propagation change trend of the historical electroencephalogram signals in space and the first detection area comprises: determining a target propagation change trend associated with the first detection area in the propagation change trend; determining the region involved in the target propagation change trend as the propagation change region with the first detection area as the propagation starting point.

8. The electroencephalographic signal detection apparatus of claim 4, wherein, The control of the second contact in the signal processing unit to apply the first electric stimulus for blocking the first electroencephalogram signal comprises: controlling the first contact in the first contact group in the signal processing unit as the cathode for applying the first electric stimulus, and controlling the second contact in the signal processing unit to apply the first electric stimulus as the cathode.

9. The electroencephalographic signal detection apparatus of claim 1 or 2, wherein, The diameter of the first contact in the first contact group ranges from 0.3 to 0.5 mm, and the center distance between the first contacts ranges from 0.5 to 1.0 mm. The material of the first contact comprises platinum black or platinum-iridium alloy coated with titanium nitride.

10. The electroencephalogram signal detection device according to claim 9, wherein the first contact with a diameter of 0.3 mm is used to detect high-frequency oscillation signals with a frequency range of 80-500 Hz.

11. The electroencephalographic signal detection apparatus of claim 1 or 2, wherein, The power consumption of the first control module is lower than that of the second control module.

12. A brain electrical signal control method, characterized by, The electroencephalogram signal detection device comprises a signal processing module. The signal processing module comprises at least two signal processing units respectively used for processing the electroencephalogram signals of different detection areas, and the method comprises: controlling the second contact in the signal processing unit to apply the first electric stimulus for blocking the first electroencephalogram signal according to the first electroencephalogram signal collected by the first contact group in the signal processing unit; determining the propagation change region of the first electroencephalogram signal according to the propagation change trend of the historical electroencephalogram signals in space and the first detection area corresponding to the signal processing unit; wherein the collection time of the historical electroencephalogram signals is earlier than that of the first electroencephalogram signals; and the propagation change trend is generated according to the time sequence and / or feature difference of at least three historical electroencephalogram signals; outputting a control instruction to the second contact in the target signal processing unit; wherein the detection area corresponding to the target signal processing unit is the propagation change region of the first detection area; and the control instruction is used to instruct the second contact in the target signal processing unit to apply an electric stimulus.

13. The electroencephalographic signal control method of claim 12, wherein, The first contact group comprises at least three first contacts, and the second contact is arranged around the at least three first contacts.

14. The electroencephalographic signal control method according to claim 12 or 13, characterized by, The signal processing unit further comprises a material storage subunit, and the method further comprises: controlling the material storage subunit to release the stored material.

15. The electroencephalographic signal control method according to claim 12 or 13, characterized by, The method further comprises: receive at least one set of historical electroencephalogram signals; each set of historical electroencephalogram signals includes at least three historical electroencephalogram signals; determine the propagation change trend according to the collection time, signal intensity and corresponding detection area of the at least three historical electroencephalogram signals.

16. The electroencephalographic signal control method of claim 15, wherein, The determination of the propagation change trend according to the collection time, signal intensity and corresponding detection area of the at least three historical electroencephalogram signals comprises: determine a target electroencephalogram signal with the strongest signal intensity and / or the earliest collection time among the at least three historical electroencephalogram signals; take the detection area corresponding to the target electroencephalogram signal as the signal source area among the at least three historical electroencephalogram signals; connect the detection areas corresponding to the historical electroencephalogram signals in sequence according to the trend from early to late of the collection time of the historical electroencephalogram signals other than the target electroencephalogram signal, or the trend from strong to weak of the signal intensity of the historical electroencephalogram signals, taking the signal source area as the propagation starting point, to obtain the propagation change trend.

17. The electroencephalographic signal control method of claim 15, wherein, The determination of the propagation change trend according to the collection time, signal intensity and corresponding detection area of the at least three historical electroencephalogram signals comprises: determine the causal relationship strength between any two historical electroencephalogram signals among the at least three historical electroencephalogram signals according to a preset causal analysis algorithm; connect the detection areas corresponding to the historical electroencephalogram signals in sequence according to the order from strong to weak of the causal relationship strength, to obtain the propagation change trend.

18. The electroencephalographic signal control method of claim 15, wherein, The determination of the propagation change region of the first electroencephalogram signal according to the propagation change trend of the historical electroencephalogram signals in space and the first detection area comprises: determine a target propagation change trend associated with the first detection area in the propagation change trend; take the first detection area as the propagation starting point, and determine the region involved in the target propagation change trend as the propagation change region.

19. The electroencephalographic signal control method of claim 15, wherein, The control of the first electrostimulation for blocking the first electroencephalogram signal by the second contact in the signal processing unit comprises: control the first contact in the first contact group in the signal processing unit as the cathode for applying the first electrostimulation, and control the second contact in the signal processing unit to apply the first electrostimulation as the cathode.

20. The electroencephalographic signal control method of claim 12 or 13, wherein, The diameter of the first contact in the first contact group ranges from 0.3 to 0.5 millimeters, and the center distance between the first contacts ranges from 0.5 to 1.0 millimeters. The material of the first contact includes platinum black plating or platinum-iridium alloy nitrided titanium.

21. The electroencephalogram signal control method according to claim 20, wherein the first contact with a diameter of 0.3 millimeters is used to detect high-frequency oscillation signals with a frequency range of 80-500 Hz.

22. A signal processing system, characterized by The electroencephalogram signal detection device according to any one of claims 1 to 11.

23. A computer-readable storage medium, characterized in that, The computer program stored on the computer readable storage medium is executed by the processor to implement the electroencephalogram signal control method according to any one of claims 12 to 21.

24. A computer program product comprising a computer program, characterized in that, The computer program is executed by the processor to implement the electroencephalogram signal control method according to any one of claims 12 to 21.

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