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

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. The electroencephalogram signal detection device comprises a signal processing unit and a control unit which are electrically connected with each other; the deep electrode for detecting the electroencephalogram signals of the deep brain comprises a first functional layer, a second functional layer, a third functional layer and a fourth functional layer which are sequentially arranged from the tip end to the far end, and different contact sets are arranged on the functional layers; a fifth contact group and a sixth contact group are arranged on a cortex electrode used for detecting electroencephalogram signals of the cerebral cortex, each sixth contact in the sixth contact group is surrounded by at least four fifth contacts in the fifth contact group, and the sixth contact group is used for applying electrical stimulation for blocking the electroencephalogram signals detected by the corresponding fifth contacts; the control unit generates a signal map reflecting space-time setting features of the electroencephalogram signals based on time sequence and / or feature differences of the electroencephalogram signals from different contact groups.

Description

Technical Field

[0001] This application relates to the field of medical device technology, specifically to an electroencephalogram (EEG) signal detection device, control method, signal processing system, and storage medium. Background Technology

[0002] Electroencephalogram (EEG) is the sum of postsynaptic potentials generated synchronously by a large number of neurons during brain activity. It records the changes in electrical waves during brain activity and is a comprehensive reflection of the electrophysiological activity of brain nerve cells on the surface of the cerebral cortex or scalp. It can also be called an electroencephalogram or brainwave.

[0003] By detecting electroencephalogram (EEG) signals, we can understand the electrophysiological activity of brain nerve cells. However, current methods for detecting EEG signals have low precision and cannot accurately detect EEG signals, affecting the efficiency of subsequent processing operations based on EEG signals. Summary of the Invention

[0004] This application provides an electroencephalogram (EEG) signal detection device, control method, signal processing system, and storage medium to solve the problem that the existing methods for detecting EEG signals have low accuracy, cannot accurately capture EEG signals, and affect the efficiency of subsequent processing operations based on EEG signals.

[0005] To address the aforementioned issues, this application discloses an electroencephalogram (EEG) signal detection device, comprising: a signal processing unit and a control unit electrically connected to each other; The signal processing unit includes: A deep electrode is used to detect electroencephalogram (EEG) signals deep within the brain. The deep electrode includes a first functional layer, a second functional layer, a third functional layer, and a fourth functional layer arranged sequentially from the tip to the distal end. A first contact group is provided on the first functional layer, a second contact group is provided on the second functional layer, a third contact group is provided on the third functional layer, and a fourth contact group is provided on the fourth functional layer. A cortical electrode is used to detect electroencephalogram (EEG) signals in the cerebral cortex. The cortical electrode is provided with a fifth contact group and a sixth contact group. Each sixth contact in the sixth contact group is surrounded by at least four fifth contacts in the fifth contact group and is used to apply electrical stimulation to block the EEG signals detected by the corresponding fifth contact. The control unit is used for: Receives EEG signals detected by at least two of the first contact group, the second contact group, the third contact group, the fourth contact group, and the fifth contact group; Based on the temporal and / or characteristic differences of EEG signals from different contact point groups, a signal map reflecting the spatiotemporal setting characteristics of EEG signals is generated.

[0006] This application also discloses a method for controlling brainwave signals, including: Receives EEG signals detected by at least two of the following contact groups: first contact group, second contact group, third contact group, fourth contact group, and fifth contact group; Based on the temporal and / or feature differences of EEG signals from different touchpoint groups, a signal map reflecting the spatiotemporal setting characteristics of EEG signals is generated. The first contact group is disposed in the first functional layer of the deep electrode, the second contact group is disposed in the second functional layer of the deep electrode, the third contact group is disposed in the third functional layer of the deep electrode, and the fourth contact group is disposed in the fourth functional layer of the deep electrode; and the first functional layer, the second functional layer, the third functional layer, and the fourth functional layer are arranged sequentially from the tip to the distal end of the deep electrode; the deep electrode is used to detect electroencephalogram (EEG) signals in the deep brain. The fifth and sixth contact groups are disposed on the cortical electrodes, which are used to detect electroencephalogram (EEG) signals in the cerebral cortex. Each sixth contact in the sixth contact group is surrounded by at least four fifth contacts in the fifth contact group and is used to apply electrical stimulation that blocks the EEG signals detected by the corresponding fifth contact.

[0007] This application also discloses a signal processing system, including the above-mentioned electroencephalogram (EEG) signal detection device.

[0008] This application also discloses a computer-readable storage medium storing a computer program that, when executed by a processor, implements one or more of the methods described in this application.

[0009] This application also discloses a computer program product, including a computer program that, when executed by a processor, implements one or more of the methods described in this application.

[0010] In this embodiment, the EEG signal detection device includes a signal processing unit and a control unit electrically connected to each other. Multiple functional layers are sequentially arranged from the tip to the distal end of the deep electrodes in the signal processing unit, and each functional layer is provided with a group of contacts capable of detecting EEG signals. This allows for precise detection of EEG signals from different deep brain regions through different contact groups. The cortical electrodes in the signal processing unit are provided with a fifth group of contacts capable of detecting EEG signals and a sixth group of contacts capable of applying electrical stimulation. Each sixth contact in the sixth group is surrounded by at least four fifth contacts in the fifth group. This allows each sixth contact to precisely apply electrical stimulation, accurately blocking the EEG signals detected by the surrounding fifth contacts. Based on the electrical connection between the control unit and the signal processing unit, the control unit can further generate a signal map reflecting the spatiotemporal characteristics of the EEG signals based on the temporal and / or characteristic differences of the EEG signals received from different contact groups. This comprehensively evaluates the spatiotemporal characteristics of the EEG signals, improving the efficiency of subsequent processing operations based on the EEG signals. Attached Figure Description

[0011] The above and / or additional aspects and advantages of this application will become apparent and readily understood from the following description of the embodiments taken in conjunction with the accompanying drawings, wherein: Figure 1 This is a schematic diagram of the structure of the electroencephalogram (EEG) signal detection device provided in the embodiments of this application; Figure 2 This is a schematic diagram of a scene using the electroencephalogram (EEG) signal detection device provided in an embodiment of this application. Figure 3 A schematic diagram of a scenario for a depth electrode provided in an embodiment of this application; Figure 4 A schematic diagram of a scenario for a cortical electrode provided in an embodiment of this application; Figure 5 A flowchart of the EEG signal control method provided in the embodiments of this application; Figure 6 This is a schematic diagram of the signal processing system provided in an embodiment of this application. Detailed Implementation

[0012] The embodiments of this application are described below with reference to the accompanying drawings. It should be understood that the embodiments described below with reference to the accompanying drawings are exemplary descriptions for explaining the technical solutions of the embodiments of this application, and do not constitute a limitation on the technical solutions of the embodiments of this 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 4 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 unit 11 and a control unit 12 that are electrically connected to each other; The signal processing unit 11 includes: A deep electrode 111 is used to detect electroencephalogram (EEG) signals in the deep brain. The deep electrode includes a first functional layer, a second functional layer, a third functional layer, and a fourth functional layer arranged sequentially from the tip to the distal end. A first contact group is provided on the first functional layer, a second contact group is provided on the second functional layer, a third contact group is provided on the third functional layer, and a fourth contact group is provided on the fourth functional layer. A cortical electrode 112 is used to detect electroencephalogram (EEG) signals in the cerebral cortex. The cortical electrode is provided with a fifth contact group and a sixth contact group. Each sixth contact in the sixth contact group is surrounded by at least four fifth contacts in the fifth contact group and is used to apply electrical stimulation to block the EEG signals detected by the corresponding fifth contact. The control unit 12 is used for: Receives EEG signals detected by at least two of the first contact group, the second contact group, the third contact group, the fourth contact group, and the fifth contact group; Based on the temporal and / or characteristic differences of EEG signals from different contact point groups, a signal map reflecting the spatiotemporal setting characteristics of EEG signals is generated.

[0016] Optionally, in some embodiments, during the operation of the above-mentioned EEG signal detection device, deep electrodes can be implanted into the deep brain of the target object to detect EEG signals in the deep brain and record or stimulate deep neural networks; cortical electrodes can be attached to the surface of the target object's cerebral cortex through a flexible base supporting the cortical electrodes, for example, specifically placed on the dura mater (or "epidural") or under the dura mater (or "subdural") to detect EEG signals in the cerebral cortex; at the same time, the control unit can be fixed to the skull of the target object (specifically, it can be directly fixed to the skull, or the control unit can be embedded in the groove provided on the skull (for example, by providing a tray that matches the control unit, embedding the tray in the groove, and supporting the control unit through the tray)) to generate a signal map reflecting the spatiotemporal setting characteristics of the EEG signals.

[0017] Optionally, the flexible substrate can be a biocompatible flexible film, the material of which can be, for example, polyimide, medical-grade silicone, etc., and this application embodiment does not limit this. The flexible substrate can be strip-shaped, grid-shaped, or mesh-shaped 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.

[0018] Optionally, the specific location of the deep electrode implantation in the target brain can be determined based on actual needs, such as the location where EEG signal detection is required.

[0019] Taking the human body as an example, the implantation sites for deep electrodes can be the subthalamic nucleus, medial part of the globus pallidus, hippocampus, amygdala, basal ganglia, etc., and each site can be distinguished according to the left and right hemispheres. For example, they can be specifically the left subthalamic nucleus, left medial part of the globus pallidus, left hippocampus, left amygdala, right subthalamic nucleus, right medial part of the globus pallidus, right hippocampus, and right amygdala.

[0020] Optionally, the specific location on which the cortical electrodes are attached to the surface of the target subject's cerebral cortex can be determined according to actual needs, such as the location where EEG signal detection is required.

[0021] Optionally, in some embodiments, during the operation of the above-mentioned EEG signal detection device, each contact in the deep electrode can be connected to the control unit located at the distal end of the deep electrode through an independent electrical connection (e.g., wire connection); each contact in the cortical electrode can also be connected to the control unit through an independent electrical connection (e.g., wire connection). This facilitates the control unit to independently address and configure each contact and set the working mode of each contact.

[0022] Optionally, the operating mode of each contact point may include a detection mode (or "recording mode") or a stimulation mode. Specifically, when the contact point is operating in detection mode, it may be called a "detection contact" or "recording contact" and can be used to detect EEG signals in its area; when the contact point is operating in stimulation mode, it may be called a "stimulation contact" and can be used to apply electrical stimulation to its area. Optionally, when the contact point is operating in stimulation mode, it may serve as an anode, cathode, or disconnect / insulation state for applying electrical stimulation.

[0023] Optionally, in some embodiments, the timing of the EEG signals can be determined based on the order in which the EEG signals are detected.

[0024] Optionally, in some embodiments, the characteristics of the EEG signal can be determined by at least one of the following parameters: type, frequency, amplitude, waveform, etc.

[0025] Optionally, the control unit may specifically include an amplifier and a stimulation generator, wherein the detection contact or recording contact may be preferentially connected to a recording amplifier with high input impedance and low noise in order to better upload the detected EEG signals; the leads of the stimulation contact may be preferentially connected to a stimulation generator with high output current capability in order to better receive triggers and apply pulse signals.

[0026] Optionally, in some embodiments, the control unit can also be used in conjunction with a terminal such as an electroencephalogram (EEG). For example, the control unit can send the signal map it generates to the terminal via a wireless connection. In this way, the signal map can be visualized through the terminal's display interface, providing data support for precise control of electrical stimulation based on the spatiotemporal setting characteristics of real-time EEG signals.

[0027] As an application scenario, when the EEG signal detection device provided in this application embodiment is used to detect and block EEG signals caused by epilepsy, the patient's EEG can be acquired through the signal processing unit, the EEG can be analyzed, and the abnormal EEG can be analyzed and judged according to the characteristics of the abnormal EEG (such as the type, frequency, amplitude, waveform and other factors of the abnormal EEG) to output the optimal electrical stimulation and block the abnormal EEG signal in a timely manner.

[0028] In some embodiments, the EEG signal detection device can be applied to an implantable closed-loop neurostimulation system, which can be used for neuroscience research, brain-computer interface research, and treatment of targeted diseases.

[0029] The implantable closed-loop neurostimulation system collects electroencephalogram (EEG) signals via electrodes placed near the epileptogenic focus, performs real-time analysis, and predicts or monitors epileptic seizures. When an abnormality in the patient's EEG signals is detected, electrical stimulation is automatically applied to the target brain region via electrodes to inhibit excessive synchronized firing of brain neurons, thereby suppressing epileptic seizures. This electrical stimulation can also be referred to as an electrical stimulation signal, such as a pulse signal.

[0030] In some embodiments, see Figure 2 In the case where the EEG signal detection device provided in this application embodiment is applied to an implantable closed-loop neurostimulation system, the deep electrode 21 in the implantable closed-loop neurostimulation system can be implemented based on the deep electrode in the EEG signal detection device provided in this application embodiment, that is, the deep electrode can be implanted into the deep brain of the target object. Figure 2 Taking the human body as an example (but other objects are not limited here), the system detects electroencephalogram (EEG) signals deep within the brain. The cortical electrode 22 in the implantable closed-loop neurostimulation system can be implemented based on the cortical electrode in the EEG signal detection device provided in this application embodiment. For example, the cortical electrode can be attached to the dura mater (or "epidural") via a flexible base supporting the cortical electrode to detect EEG signals in the cerebral cortex. The neurostimulator 23 in the implantable neurostimulation system can be implemented based on the control unit in the EEG signal detection device provided in this application embodiment. For example, the neurostimulator 23 can be directly fixed to the skull to generate a signal map reflecting the spatiotemporal characteristics of the EEG signals.

[0031] In this embodiment of the application, the electroencephalogram (EEG) signal detection device includes a signal processing unit and a control unit electrically connected to each other, wherein... The deep electrodes in the signal processing unit are arranged with multiple functional layers from the tip to the distal end, and each functional layer is equipped with a group of contacts with EEG signal detection function. In this way, EEG signals from different deep brain regions can be accurately detected through different groups of contacts. The cortical electrodes in the signal processing unit are equipped with a fifth contact group for detecting electroencephalogram (EEG) signals and a sixth contact group for applying electrical stimulation. Each sixth contact in the sixth contact group is surrounded by at least four fifth contacts in the fifth contact group. In this way, each sixth contact can apply electrical stimulation precisely to accurately block the EEG signals detected by the fifth contacts surrounding it. Based on the electrical connection between the control unit and the signal processing unit, the control unit can further generate a signal map reflecting the spatiotemporal setting characteristics of the EEG signals based on the temporal and / or characteristic differences of the EEG signals received from different contact groups. This allows for a comprehensive evaluation of the spatiotemporal setting characteristics of the EEG signals and improves the efficiency of subsequent processing operations based on the EEG signals.

[0032] Optionally, see Figure 3 In a deep electrode, a first functional layer 1111, a second functional layer 1112, a third functional layer 1113, and a fourth functional layer 1114 are sequentially distributed on the outer surface of the electrode wire 1110 along an axial direction from the tip to the distal end. That is, the first functional layer can be located at the very tip of the deep electrode, the second and third functional layers are sequentially arranged in the middle section of the deep electrode, and the fourth functional layer can be located at the proximal end of the deep electrode (i.e., the position closest to the surface of the cerebral cortex). Each functional layer can be provided with a corresponding group of contacts.

[0033] The size and position of each functional layer can also be set according to actual needs. For example, when it is necessary to perform precise EEG signal detection at a certain position, a larger surface area and a denser group of contacts can be set for the functional layer corresponding to that position.

[0034] In some embodiments, see Figure 3 The first contact group on the first functional layer comprises four first contacts 11111, with a diameter ranging from 0.3 to 0.5 mm and a center-to-center distance between the first contacts 11111 ranging from 0.5 to 1.0 mm; the second contact group on the second functional layer comprises four second contacts 11121, with a diameter ranging from 0.6 to 0.8 mm and a center-to-center distance between the second contacts 11121 ranging from 1.0 to 1.5 mm; the third contact group on the third functional layer comprises two or three third contacts 11131. Figure 3 (Taking three as an example), the diameter of the third contact 11131 ranges from 1.0 to 1.2 mm, and the center distance between the third contacts 11131 ranges from 2.0 to 3.0 mm; the number of fourth contacts 11141 in the fourth contact group disposed on the fourth functional layer includes one or two (…). Figure 3 (Two examples are shown below), the diameter of the fourth contact 11141 ranges from 1.5 to 2.5 mm.

[0035] Alternatively, the material of the first contact point may include a platinum black-plated or titanium nitride platinum-iridium alloy, which can maximize the effective surface area and significantly improve the sensitivity of detecting weak EEG signals.

[0036] Alternatively, the material of the fourth contact may include a smooth or microporous platinum-iridium alloy, which can optimize its charge injection capability to provide a stronger stimulating current.

[0037] Optionally, in the cortical electrode, the contacts can form a "checkerboard" layout, for example, a 4×4, 6×6, or 8×8 contact network.

[0038] Optionally, on the cortical electrode, taking "R" to represent the fifth contact (i.e., the detection contact) and "S" to represent the sixth contact (i.e., the stimulation contact), each sixth contact is surrounded by four or six fifth contacts. A top view of this cortical electrode can be formed... Figure 4 The topological structure shown is on a two-dimensional plane. That is: … RSRS SRRR RRSR SRRS … Optionally, the diameter of the fifth contact in the fifth contact group ranges from 0.5 to 1.0 mm, and the fifth contact occupies 70% to 80% of the total number of contacts on the skin electrode; The diameter of the sixth contact in the sixth contact group ranges from 1.5 to 2.5 mm, and the sixth contact accounts for 30% to 20% of the total number of contacts on the skin electrode.

[0039] Alternatively, the material of the fifth contact point may include a platinum-black plated or titanium-nitrided platinum-iridium alloy, which can maximize the effective surface area and significantly improve the sensitivity of detecting weak EEG signals.

[0040] Alternatively, the material of the sixth contact may include a smooth or microporous platinum-iridium alloy, which can optimize its charge injection capability to provide a stronger stimulating current.

[0041] Alternatively, in deep electrodes, the smaller the diameter of the contact point, the higher the sensitivity of the EEG signals that can be detected. Based on this: The first functional layer can be called the "core detection cluster", and the first contact in the first contact group set on the first functional layer can be called the "micro contact". It can be used to detect high-frequency oscillations or spike activity at the microsecond level from deep brain. The second functional layer can be called the "high-precision detection area", and the second contact in the second contact group set on the second functional layer can be called the "small contact". It has both detection and stimulation functions, and is used to verify the detection results of the core detection cluster, detect whether the EEG signal detected by the core detection cluster has preliminary axial propagation, and can also be used as a cathode to locally block the propagation of EEG signals. The third functional layer can be called the "detection and stimulation transition zone", and the third contact in the third contact group set on the third functional layer can be called the "medium contact". It has both detection and stimulation functions, and is used to detect whether the EEG signal detected by the core detection cluster has further axial propagation. In addition, it can be used as a cathode to locally block the propagation of EEG signal. The fourth functional layer can be called the "macrostimulation / reference area", and the fourth contact in the fourth contact group set on the fourth functional layer can be called the "large contact". It has both detection and stimulation functions. It is used to detect whether the EEG signal detected by the core detection cluster has further axial propagation. In addition, it can be used as the anode (i.e. the return end) to locally block the propagation of EEG signal, so as to provide high-intensity macrostimulation. The fifth contact in the fifth contact group can be called a "miniature contact"; The sixth contact in the sixth contact group can be called the "large contact".

[0042] Optionally, in some embodiments, the signal map includes: signal source location information of the EEG signal and the spatial propagation trend of the EEG signal.

[0043] Optionally, the signal source location information of the EEG signal can indicate the source of the EEG signal. For example, the detected source of the EEG signal can be at least one of the following: the deep brain in contact with the first functional layer, the deep brain in contact with the second functional layer, the deep brain in contact with the third functional layer, the deep brain in contact with the fourth functional layer, the cerebral cortex, the deep brain not in contact with the deep electrode, etc.

[0044] Optionally, the spatial propagation trend of the EEG signal, i.e. the path of the EEG signal propagating from its source location, can be, for example, at least one of the following: the EEG signal propagates from the deep brain region in contact with the first functional layer to the deep brain region in contact with the second functional layer, from the deep brain region in contact with the first functional layer through the deep brain region in contact with the second functional layer to the deep brain region in contact with the third functional layer, from the deep brain region in contact with the first functional layer through the deep brain region in contact with the second functional layer and the deep brain region in contact with the third functional layer to the deep brain region in contact with the fourth functional layer, and from the deep brain region in contact with the first functional layer through the deep brain region in contact with the second functional layer, the deep brain region in contact with the third functional layer and the deep brain region in contact with the fourth functional layer to the cerebral cortex, etc.

[0045] In the embodiments of this application, by determining the signal source location information of the EEG signal and the spatial propagation trend of the EEG signal, it is easy to accurately know the source of the EEG signal and the path of the EEG signal from its source location, thus laying the groundwork for subsequent EEG signal processing operations.

[0046] Optionally, in some embodiments, generating an EEG activity map based on temporal and / or feature differences in EEG signals from different contact point groups includes at least one of the following: The first contact group detects the first EEG signal, and the second contact group does not detect the first EEG signal. According to the preset signal source determination algorithm, the first EEG signal is indicated on the signal map as: the signal source is located in the deep part of the brain in contact with the first functional layer, and no propagation towards the second functional layer is observed. The first contact group and the second contact group detect the second EEG signal in sequence, and the third contact group does not detect the second EEG signal. According to the signal source determination algorithm, on the signal map, the second EEG signal is indicated as: the signal source is located in the deep brain that is in contact with the first functional layer, and it is observed that the signal propagates from the deep brain that is in contact with the first functional layer to the deep brain that is in contact with the second functional layer. The first contact group, the second contact group, and the third contact group sequentially detect the third EEG signal, while the fourth contact group does not detect the third EEG signal. According to the signal source determination algorithm, on the signal map, the third EEG signal is indicated as follows: the signal source is located in the deep brain region in contact with the first functional layer, and it is observed that the signal propagates from the deep brain region in contact with the first functional layer through the deep brain region in contact with the second functional layer to the deep brain region in contact with the third functional layer. The first contact group, the second contact group, the third contact group, and the fourth contact group sequentially detect the fourth EEG signal, while the fifth contact group does not detect the fourth EEG signal. According to the signal source determination algorithm, on the signal map, the fourth EEG signal is indicated as follows: the signal source is located in the deep brain region in contact with the first functional layer, and it is observed that the signal propagates from the deep brain region in contact with the first functional layer sequentially through the deep brain region in contact with the second functional layer and the deep brain region in contact with the third functional layer to the deep brain region in contact with the fourth functional layer. No EEG signals were detected in the first contact group, the second contact group, the third contact group, and the fourth contact group, while the fifth contact group detected a fifth EEG signal. According to the signal source determination algorithm, the fifth EEG signal is indicated on the signal map as: the signal source is located in the cerebral cortex. Neither the first contact group nor the fifth contact group detected an EEG signal, and at least one of the second contact group, the third contact group, or the fourth contact group detected a sixth EEG signal. According to the signal source determination algorithm, the sixth EEG signal is indicated on the signal map as: the signal source is located in the deep brain that is not in contact with the deep electrode.

[0047] Optionally, when generating an EEG signal activity map, it can be based on a signal source determination algorithm. This signal source determination algorithm may include algorithms based on time series, signal strength, causal analysis, etc.

[0048] Optionally, if the signal source determination algorithm is a time-based algorithm, the region where the first EEG signal is detected can be identified as the source of the EEG signal, and the regions where the EEG signals are detected can be connected sequentially according to the time sequence to obtain the propagation path of the EEG signal.

[0049] Optionally, if the signal source determination algorithm is based on signal strength, the region where the strongest EEG signal is detected can be identified as the source of the EEG signal, and the regions where the EEG signal is detected can be connected sequentially in order from strong to weak to obtain the propagation path of the EEG signal.

[0050] Optionally, if the signal source determination algorithm is a causal analysis-based algorithm, the causal relationship strength between any two detected EEG signals can be established according to the causal analysis algorithm (e.g., Granger causal analysis or directed transfer function), and the regions where the contact points of the detected EEG signals are located are connected sequentially in order of causal relationship strength from strong to weak to obtain the propagation path of the EEG signals.

[0051] In this embodiment of the application, the signal source determination algorithm is described as a time-based algorithm.

[0052] Optionally, if the first EEG signal is detected by the first contact group but not by the second contact group, the first EEG signal can be indicated on the signal map as follows: the signal source is located in the deep brain that is in contact with the first functional layer, and no propagation of the first EEG signal toward the second functional layer is observed.

[0053] Optionally, in some embodiments, the first EEG signal includes: a microsecond-level high-frequency oscillation signal or a spike signal; the first electrical stimulation includes a biphasic charge-balancing pulse. That is, the EEG signal detection device provided in this application embodiment can detect microsecond-level high-frequency oscillation signals or spike signals, with high detection sensitivity and accuracy.

[0054] Optionally, if the second EEG signal is detected sequentially by the first contact group and the second contact group, and the second EEG signal is not detected by the third contact group, that is, the time when the EEG signal is detected by the first contact group is earlier than the time when the EEG signal is detected by the second contact group, according to the signal source determination algorithm, the second EEG signal can be indicated on the signal map as: the signal source is located in the deep brain that is in contact with the first functional layer, and the second EEG signal is observed to propagate from the deep brain that is in contact with the first functional layer to the deep brain that is in contact with the second functional layer.

[0055] Optionally, if the third EEG signal is detected sequentially in the first contact group, the second contact group, and the third contact group, and the fourth contact group does not detect the third EEG signal, that is, the time when the first contact group detects the EEG signal is earlier than the time when the second contact group detects the EEG signal, and the time when the second contact group detects the EEG signal is earlier than the time when the third contact group detects the EEG signal, according to the signal source determination algorithm, the third EEG signal is indicated on the signal map as: the signal source is located in the deep brain that is in contact with the first functional layer, and the third EEG signal is observed to propagate from the deep brain that is in contact with the first functional layer through the deep brain that is in contact with the second functional layer to the deep brain that is in contact with the third functional layer.

[0056] Optionally, if the fourth EEG signal is detected sequentially by the first contact group, the second contact group, the third contact group, and the fourth contact group, and the fifth contact group does not detect the fourth EEG signal, that is, the time when the first contact group detects the EEG signal is earlier than the time when the second contact group detects the EEG signal, and the time when the second contact group detects the EEG signal is earlier than the time when the third contact group detects the EEG signal, and the time when the third contact group detects the EEG signal is earlier than the time when the fourth contact group detects the EEG signal, according to the signal source determination algorithm, the fourth EEG signal is indicated on the signal map as: the signal source is located in the deep brain that is in contact with the first functional layer, and the fourth EEG signal is observed to propagate from the deep brain that is in contact with the first functional layer sequentially through the deep brain that is in contact with the second functional layer, the deep brain that is in contact with the third functional layer, to the deep brain that is in contact with the fourth functional layer.

[0057] Optionally, if no EEG signal is detected in the first, second, third, and fourth contact groups, but the fifth EEG signal is detected in the fifth contact group (i.e., the time when the first contact group detects the EEG signal is earlier than the time when the second contact group detects the EEG signal, the time when the second contact group detects the EEG signal is earlier than the time when the third contact group detects the EEG signal, the time when the third contact group detects the EEG signal is earlier than the time when the fourth contact group detects the EEG signal, and the time when the fourth contact group detects the EEG signal is earlier than the time when the fifth contact group detects the EEG signal), the fifth EEG signal is indicated on the signal map as: the signal source is located in the cerebral cortex, according to the signal source determination algorithm.

[0058] Optionally, if no EEG signal is detected in either the first or fifth contact group, and a sixth EEG signal is detected in at least one of the second, third, or fourth contact groups, the sixth EEG signal is indicated on the signal map as follows, according to the signal source determination algorithm: the signal source is located in the deep brain that is not in contact with the deep electrodes.

[0059] Optionally, in some embodiments, the source of the sixth EEG signal can be further determined, and the position of the deep electrodes can be adjusted based on the source of the sixth EEG signal.

[0060] It is understandable that, within each contact group, the location information of the EEG signal source and the spatial propagation trend of the EEG signal can be precisely determined at the contact level based on the contact point where the EEG signal is detected.

[0061] For example, if a fourth EEG signal is detected sequentially at a first contact point, a second contact point, a third contact point, and a fourth contact point, but a fourth EEG signal is not detected at a fifth contact point, that is, the time when the first contact point detects the EEG signal is earlier than the time when the second contact point detects the EEG signal, and the time when the second contact point detects the EEG signal is earlier than the time when the third contact point detects the EEG signal, and the time when the third contact point detects the EEG signal is earlier than the time when the fourth contact point detects the EEG signal, according to the signal source determination algorithm, the fourth EEG signal is indicated on the signal map as: the signal source is located in the deep brain region in contact with the first contact point, and propagates from the deep brain region in contact with the first contact point sequentially through the deep brain regions in contact with the second contact point and the third contact point to the deep brain region in contact with the fourth contact point.

[0062] Based on the above determination method, it is also possible to determine the signal source location information of other EEG signals and the spatial propagation trend of EEG signals at the contact point level, which will not be elaborated here.

[0063] In the embodiments of this application, the timing of the EEG signal can be detected by each contact point, the signal source location information of the EEG signal and the spatial propagation trend of the EEG signal can be determined, and the source of the EEG signal and the path of the EEG signal from its source location can be accurately known, laying the groundwork for subsequent EEG signal processing operations.

[0064] Optionally, in some embodiments, the control unit is further configured to: Based on the signal source information and the spatial propagation trend of the EEG signal, a target electrical stimulation is generated to block the EEG signal, and applied to the target area through the deep electrodes and / or the cortical electrodes; The target area includes the area indicated by the signal source information and the area involved in the spatial propagation change trend.

[0065] Optionally, in some embodiments, the EEG signals collected by each contact point provided in the embodiments of this application can be analyzed to obtain the signal characteristics of the EEG signals collected by each contact point in a "resting state" and in a "non-resting state". For example, for a certain contact point, the EEG signals collected by that contact point within 72 hours can be analyzed, and the signal characteristics within 70% to 80% of the duration can be determined as signal characteristics in a "resting state", and correspondingly, the EEG signal can be regarded as a "normal EEG signal"; the signal characteristics within other durations can be determined as signal characteristics in a "non-resting state", and correspondingly, the EEG signal can be regarded as an "abnormal EEG signal".

[0066] Optionally, in this embodiment, the target region can be determined based on the area corresponding to the contact point where the EEG signal is detected (e.g., the deep brain in contact with different functional layers of the deep electrode, or the surface area of ​​the cerebral cortex to which the cortical electrode is attached). Specifically, after determining the signal source of the EEG signal and the spatial propagation trend of the EEG signal based on the above method, the area indicated by the signal source information and the area involved in the spatial propagation trend of the EEG signal can be determined as the target region.

[0067] For example, if the first EEG signal is detected by the first contact group but not by the second contact group, and the determined result is that the signal source of the first EEG signal is located in the deep brain region in contact with the first functional layer, and no propagation of the first EEG signal towards the second functional layer is observed, then the deep brain region in contact with the first functional layer can be identified as the target region. From a more granular perspective, the deep brain region in contact with the first contact point can be identified as the target region, and so on, other target regions can be identified.

[0068] Optionally, in some embodiments, when the signal characteristics of the EEG signal are those of a "resting state" (i.e., the EEG signal is a normal EEG signal), it is not necessary to perform a blocking operation, that is, it is not necessary to generate an electrical stimulus to block the EEG signal; when the signal characteristics of the EEG signal are those of a "non-resting state" (i.e., the EEG signal is an abnormal EEG signal), a blocking operation can be performed, that is, based on the signal source information and the spatial propagation trend of the EEG signal, a target electrical stimulus to block the EEG signal is generated and applied to the target area through deep electrodes and / or cortical electrodes.

[0069] Optionally, the target electrical stimulation can be a pulse signal, and the signal characteristics of the target electrical stimulation can also be represented by parameters such as type, frequency, amplitude, and waveform.

[0070] Optionally, in some embodiments, the signal characteristics of the target electrical stimulation can be determined based on the difference between the signal characteristics of abnormal and normal EEG signals. As long as the target electrical stimulation is applied to the target region, causing the detected EEG signal in the target region to become a normal EEG signal, the specific method for determining the applied target electrical stimulation is not limited in this application.

[0071] It is understandable that the signal characteristics of the target electrical stimulation applied to different target areas may be the same or different.

[0072] In this embodiment, by applying targeted electrical stimulation to the region indicated by the signal source information, abnormal EEG signals can be weakened, causing the EEG signals detected in that region to become normal EEG signals. If abnormal EEG signals have been detected in the region involved in the spatial propagation trend, applying targeted electrical stimulation can weaken the abnormal EEG signals, causing the EEG signals detected in that region to become normal EEG signals, and blocking the propagation of abnormal EEG signals.

[0073] Optionally, in some embodiments, applying the substance to the target region via the deep electrode and / or the dermal electrode includes at least one of the following: The first electrical stimulation is applied to the target area by using the first contact group as the cathode for applying the first electrical stimulation corresponding to the first EEG signal, and the fourth contact group as the anode for applying the first electrical stimulation. By using the first contact group and the second contact group as cathodes for applying the second electrical stimulation corresponding to the second EEG signal, and the fourth contact group as anode for applying the second electrical stimulation, the second electrical stimulation is applied to the target area. The third electrical stimulation is applied to the target area by using the first contact group, the second contact group, and the third contact group as cathodes for applying the third electrical stimulation corresponding to the third EEG signal, and the fourth contact group as anode for applying the third electrical stimulation. By using the first contact group, the second contact group, and the third contact group as cathodes for applying the fourth electrical stimulation corresponding to the fourth EEG signal, and the fourth contact group as the anode for applying the fourth electrical stimulation, the fourth electrical stimulation is applied to the target area; at least one signal feature of the fourth electrical stimulation is stronger than the signal feature of the third electrical stimulation. The fifth electrical stimulation is applied to the target area by using the fifth contact group as the cathode for applying the fifth electrical stimulation corresponding to the fifth EEG signal, and the sixth contact group as the anode for applying the fifth electrical stimulation. The sixth electrical stimulation is applied to the target area by using the contact group that detects the sixth EEG signal as the cathode for applying the sixth electrical stimulation corresponding to the sixth EEG signal, and the fourth contact group as the anode for applying the sixth electrical stimulation.

[0074] Optionally, referring to the above, after determining the signal source and spatial propagation trend of the EEG signal based on the above method, the area indicated by the signal source information and the area involved in the spatial propagation trend of the EEG signal can be determined as the target area. After determining the target area, the working mode of the contact point that detects the EEG signal can be further switched, for example, switching the working mode of the contact point from detection / recording mode to stimulation mode, thereby applying target electrical stimulation to the target area through the contact point. Specifically, When the first EEG signal is detected by the first contact group and not by the second contact group, according to the preset signal source determination algorithm, the first EEG signal is indicated on the signal map as: the signal source is located in the deep brain in contact with the first functional layer and no propagation to the second functional layer is observed. Then, by using the first contact group as the cathode for applying the first electrical stimulation corresponding to the first EEG signal and the fourth contact group as the anode for applying the first electrical stimulation, the first electrical stimulation is applied to the target area to weaken the first EEG signal, so that the EEG signal detected by the first contact group becomes a normal EEG signal. When the second EEG signal is detected sequentially by the first and second contact groups, and no second EEG signal is detected by the third contact group, according to the signal source determination algorithm, the second EEG signal is indicated on the signal map as follows: the signal source is located in the deep brain region in contact with the first functional layer, and after propagating from the deep brain region in contact with the first functional layer to the deep brain region in contact with the second functional layer, the second electrical stimulation is applied to the target area by using the first and second contact groups as cathodes for applying the second electrical stimulation corresponding to the second EEG signal, and the fourth contact group as anodes for applying the second electrical stimulation, so as to weaken the second EEG signal, so that the EEG signal detected by the first and second contact groups becomes a normal EEG signal, and the propagation of the second EEG signal to the region corresponding to the third contact group (i.e., the deep brain region in contact with the third functional layer) is blocked. When the third EEG signal is detected sequentially by the first, second, and third contact groups, and no third EEG signal is detected by the fourth contact group, according to the signal source determination algorithm, the third EEG signal is indicated on the signal map as follows: the signal source is located in the deep brain region in contact with the first functional layer, and after propagating from the deep brain region in contact with the first functional layer through the deep brain region in contact with the second functional layer to the deep brain region in contact with the third functional layer, the third electrical stimulation is applied to the target area by using the first, second, and third contact groups as cathodes for applying the third electrical stimulation corresponding to the third EEG signal, and the fourth contact group as anode for applying the third electrical stimulation, so as to weaken the third EEG signal, so that the EEG signals detected by the first, second, and third contact groups become normal EEG signals, and the third EEG signal is blocked from continuing to propagate to the area corresponding to the fourth contact group (i.e., the deep brain region in contact with the fourth functional layer). When the fourth EEG signal is detected sequentially by the first, second, third, and fourth contact groups, and no fourth EEG signal is detected by the fifth contact group, according to the signal source determination algorithm, the fourth EEG signal is indicated on the signal map as follows: the signal source is located in the deep brain region in contact with the first functional layer, and propagates from the deep brain region in contact with the first functional layer through the deep brain regions in contact with the second and third functional layers to the deep brain region in contact with the fourth functional layer. This propagation occurs through the first, second, and third contact groups... The first contact group serves as the cathode for applying the fourth electrical stimulation corresponding to the fourth EEG signal, and the second contact group serves as the anode for applying the fourth electrical stimulation, applying the fourth electrical stimulation to the target area; at least one signal feature of the fourth electrical stimulation is stronger than the signal feature of the third electrical stimulation, so as to weaken the fourth EEG signal, so that the EEG signals detected by the first contact group, the second contact group, the third contact group and the fourth contact group become normal EEG signals, and to block the fourth EEG signal from continuing to propagate to the area corresponding to the fifth contact group (i.e., the cerebral cortex surface in contact with the fifth contact group). When no EEG signal is detected in the first, second, third, and fourth contact groups, but the fifth EEG signal is detected in the fifth contact group, according to the signal source determination algorithm, the fifth EEG signal is indicated on the signal map as follows: after the signal source is located in the cerebral cortex, the fifth contact group is used as the cathode for applying the fifth electrical stimulation corresponding to the fifth EEG signal, and the sixth contact group is used as the anode for applying the fifth electrical stimulation. The fifth electrical stimulation is applied to the target area to weaken the fifth EEG signal, so that the EEG signal detected by the fifth contact group becomes a normal EEG signal, and the propagation of the fifth EEG signal to the deep brain is blocked. If no EEG signal is detected in either the first or fifth contact group, and a sixth EEG signal is detected in at least one of the second, third, or fourth contact groups, the sixth EEG signal is indicated on the signal map according to the signal source determination algorithm as follows: after the signal source is located in the deep brain not in contact with the deep electrodes, the sixth electrical stimulation is applied to the target area by using the contact group that detected the sixth EEG signal as the cathode for applying the sixth electrical stimulation corresponding to the sixth EEG signal, and the fourth contact group as the anode for applying the sixth electrical stimulation, in order to weaken the sixth EEG signal and prevent the sixth EEG signal from propagating to the deep brain or cerebral cortex in contact with the deep electrodes.

[0075] Optionally, referring to the above, from a more granular perspective, the deep brain region or the surface region of the cerebral cortex in contact with a certain contact point can be identified as the target region. Based on this, a certain contact point can be used as the cathode or anode for applying the corresponding electrical stimulation, and the target electrical stimulation can be applied. For example, if a first contact point in the first contact point group detects a first EEG signal, and all second contact points in the second contact point group do not detect a first EEG signal, according to a preset signal source determination algorithm, the first EEG signal is indicated on the signal map as: the signal source is located in the deep brain region in contact with the first contact point that detected the first EEG signal, and no propagation of the first EEG signal towards the second functional layer is observed. Then, by using the first contact point as the cathode for applying the first electrical stimulation corresponding to the first EEG signal, and any fourth contact point in the fourth contact point group as the anode for applying the first electrical stimulation, the first electrical stimulation is applied to the target region to weaken the first EEG signal, so that the EEG signal detected by the first contact point becomes a normal EEG signal.

[0076] Optionally, in some embodiments, applying the fifth electrical stimulation to the target region by using the fifth contact group as the cathode for applying the fifth electrical stimulation corresponding to the fifth EEG signal and the sixth contact group as the anode for applying the fifth electrical stimulation includes: The fifth electrical stimulation is applied to the target region by using the target fifth contact point in the fifth contact point group that detects the fifth EEG signal as the cathode for applying the fifth electrical stimulation, and the sixth contact point in the sixth contact point group that is adjacent to the target fifth contact point as the anode for applying the fifth electrical stimulation.

[0077] As described above, each sixth contact is surrounded by at least four fifth contacts. Based on this, the sixth contact and the surrounding fifth contacts can be treated as a single processing unit, and targeted electrical stimulation can be applied. In other words, the target fifth contact in the group of fifth contacts that detects the fifth EEG signal can be used as the cathode for applying the fifth electrical stimulation, and the sixth contact adjacent to the target fifth contact in the group of sixth contacts can be used as the anode for applying the fifth electrical stimulation. Applying the fifth electrical stimulation to the target area allows for more refined and precise application of electrical stimulation to weaken the fifth EEG signal, transforming the EEG signal detected by the target fifth contact into a normal EEG signal, and blocking the propagation of the target fifth EEG signal to other parts of the cerebral cortex or deep brain.

[0078] Based on the same principle as the EEG signal detection device provided in the embodiments of this application, the embodiments of this application also provide an EEG signal control method. See Figure 5 The brainwave signal control method includes: Step 501: Receive EEG signals detected by at least two of the first, second, third, fourth, and fifth contact groups. Step 502: Based on the temporal and / or feature differences of EEG signals from different touch point groups, generate a signal map reflecting the spatiotemporal setting characteristics of EEG signals; The first contact group is disposed in the first functional layer of the deep electrode, the second contact group is disposed in the second functional layer of the deep electrode, the third contact group is disposed in the third functional layer of the deep electrode, and the fourth contact group is disposed in the fourth functional layer of the deep electrode; and the first functional layer, the second functional layer, the third functional layer, and the fourth functional layer are arranged sequentially from the tip to the distal end of the deep electrode; the deep electrode is used to detect electroencephalogram (EEG) signals in the deep brain. The fifth and sixth contact groups are disposed on the cortical electrodes, which are used to detect electroencephalogram (EEG) signals in the cerebral cortex. Each sixth contact in the sixth contact group is surrounded by at least four fifth contacts in the fifth contact group and is used to apply electrical stimulation that blocks the EEG signals detected by the corresponding fifth contact.

[0079] Optionally, in some embodiments, the EEG activity map includes: signal source information of the EEG signals and the spatial propagation trend of the EEG signals.

[0080] Optionally, in some embodiments, generating an EEG activity map based on temporal and / or feature differences in EEG signals from different contact point groups includes at least one of the following: The first contact group detects the first EEG signal, and the second contact group does not detect the first EEG signal. According to the preset signal source determination algorithm, the first EEG signal is indicated on the signal map as: the signal source is located in the deep part of the brain in contact with the first functional layer, and no propagation towards the second functional layer is observed. The first contact group and the second contact group detect the second EEG signal in sequence, and the third contact group does not detect the second EEG signal. According to the signal source determination algorithm, on the signal map, the second EEG signal is indicated as: the signal source is located in the deep brain that is in contact with the first functional layer, and it is observed that the signal propagates from the deep brain that is in contact with the first functional layer to the deep brain that is in contact with the second functional layer. The first contact group, the second contact group, and the third contact group sequentially detect the third EEG signal, while the fourth contact group does not detect the third EEG signal. According to the signal source determination algorithm, on the signal map, the third EEG signal is indicated as follows: the signal source is located in the deep brain region in contact with the first functional layer, and it is observed that the signal propagates from the deep brain region in contact with the first functional layer through the deep brain region in contact with the second functional layer to the deep brain region in contact with the third functional layer. The first contact group, the second contact group, the third contact group, and the fourth contact group sequentially detect the fourth EEG signal, while the fifth contact group does not detect the fourth EEG signal. According to the signal source determination algorithm, on the signal map, the fourth EEG signal is indicated as follows: the signal source is located in the deep brain region in contact with the first functional layer, and it is observed that the signal propagates from the deep brain region in contact with the first functional layer sequentially through the deep brain region in contact with the second functional layer and the deep brain region in contact with the third functional layer to the deep brain region in contact with the fourth functional layer. No EEG signals were detected in the first contact group, the second contact group, the third contact group, and the fourth contact group, while the fifth contact group detected a fifth EEG signal. According to the signal source determination algorithm, the fifth EEG signal is indicated on the signal map as: the signal source is located in the cerebral cortex. Neither the first contact group nor the fifth contact group detected an EEG signal, and at least one of the second contact group, the third contact group, or the fourth contact group detected a sixth EEG signal. According to the signal source determination algorithm, the sixth EEG signal is indicated on the signal map as: the signal source is located in the deep brain that is not in contact with the deep electrode.

[0081] Optionally, in some embodiments, the method further includes: Based on the signal source information and the spatial propagation trend of the EEG signal, a target electrical stimulation is generated to block the EEG signal, and applied to the target area through the deep electrodes and / or the cortical electrodes; The target area includes the area indicated by the signal source information and the area involved in the spatial propagation change trend.

[0082] Optionally, in some embodiments, applying the substance to the target region via the deep electrode and / or the dermal electrode includes at least one of the following: The first electrical stimulation is applied to the target area by using the first contact group as the cathode for applying the first electrical stimulation corresponding to the first EEG signal, and the fourth contact group as the anode for applying the first electrical stimulation. By using the first contact group and the second contact group as cathodes for applying the second electrical stimulation corresponding to the second EEG signal, and the fourth contact group as anode for applying the second electrical stimulation, the second electrical stimulation is applied to the target area. The third electrical stimulation is applied to the target area by using the first contact group, the second contact group, and the third contact group as cathodes for applying the third electrical stimulation corresponding to the third EEG signal, and the fourth contact group as anode for applying the third electrical stimulation. By using the first contact group, the second contact group, and the third contact group as cathodes for applying the fourth electrical stimulation corresponding to the fourth EEG signal, and the fourth contact group as the anode for applying the fourth electrical stimulation, the fourth electrical stimulation is applied to the target area; at least one signal feature of the fourth electrical stimulation is stronger than the signal feature of the third electrical stimulation. The fifth electrical stimulation is applied to the target area by using the fifth contact group as the cathode for applying the fifth electrical stimulation corresponding to the fifth EEG signal, and the sixth contact group as the anode for applying the fifth electrical stimulation. The sixth electrical stimulation is applied to the target area by using the contact group that detects the sixth EEG signal as the cathode for applying the sixth electrical stimulation corresponding to the sixth EEG signal, and the fourth contact group as the anode for applying the sixth electrical stimulation.

[0083] Optionally, in some embodiments, applying the fifth electrical stimulation to the target region by using the fifth contact group as the cathode for applying the fifth electrical stimulation corresponding to the fifth EEG signal and the sixth contact group as the anode for applying the fifth electrical stimulation includes: The fifth electrical stimulation is applied to the target region by using the target fifth contact point in the fifth contact point group that detects the fifth EEG signal as the cathode for applying the fifth electrical stimulation, and the sixth contact point in the sixth contact point group that is adjacent to the target fifth contact point as the anode for applying the fifth electrical stimulation.

[0084] Optionally, in some embodiments, the number of first contacts in the first contact group includes four, the diameter of the first contact 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 second contact group includes four second contacts, the diameter of the second contacts ranges from 0.6 to 0.8 mm, and the center distance between the second contacts ranges from 1.0 to 1.5 mm; The number of third contacts in the third contact group includes two or three, the diameter of the third contact ranges from 1.0 to 1.2 mm, and the center distance between the third contacts ranges from 2.0 to 3.0 mm; The number of fourth contacts in the fourth contact group includes one or two, and the diameter of the fourth contact ranges from 1.5 to 2.5 mm; The diameter of the fifth contact in the fifth contact group ranges from 0.5 to 1.0 mm, and the fifth contact accounts for 70% to 80% of the total number of contacts on the skin electrode. The diameter of the sixth contact in the sixth contact group ranges from 1.5 to 2.5 mm, and the sixth contact accounts for 30% to 20% of the total number of contacts on the skin electrode.

[0085] Optionally, in some embodiments, the materials of the first contact and the fifth contact include a platinum-iridium alloy plated with platinum black or titanium nitride. The fourth and sixth contacts are made of a smooth or microporous platinum-iridium alloy.

[0086] Optionally, in some embodiments, the first EEG signal includes: a microsecond-level high-frequency oscillation signal or a spike signal; the first electrical stimulation includes biphasic charge-balancing pulses.

[0087] Based on the same principles as the EEG signal detection device and EEG signal control method provided in the embodiments of this application, the embodiments of this application also provide an electronic device (such as a server), which may include a memory, a processor and a computer program stored in the memory, the processor executing the computer program to implement the method provided in any optional embodiment of this application.

[0088] The signal processing system of this application embodiment can execute the method provided in this application embodiment. The implementation principle is similar. The actions performed by each module in the signal processing system of each embodiment of this application correspond to the steps in the method of each embodiment of this application. For detailed functional descriptions of each module of the signal processing system, please refer to the descriptions in the corresponding methods shown above, which will not be repeated here.

[0089] In an alternative embodiment, a signal processing system, such as Figure 6 As shown, Figure 6 The signal processing system 6000 shown includes a processor 6001 and a memory 6003. The processor 6001 and the memory 6003 are connected, for example, via a bus 6002. Optionally, the signal processing system 6000 may further include a transceiver 6004, which can be used for data interaction between the signal processing system and other electronic devices, such as data transmission and / or data reception. It should be noted that in practical applications, the transceiver 6004 is not limited to one type, and the structure of this signal processing system 6000 does not constitute a limitation on the embodiments of this application.

[0090] Processor 6001 may 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 devices, transistor logic devices, hardware components, or any combination thereof. It can implement or execute the various exemplary logic blocks, modules, and circuits described in conjunction with the disclosure of this application. Processor 6001 may also be a combination that implements computational functions, such as including one or more microprocessor combinations, a combination of a DSP and a microprocessor, etc.

[0091] Bus 6002 may include a pathway for transmitting information between the aforementioned components. Bus 6002 may be a PCI (Peripheral Component Interconnect) bus or an EISA (Extended Industry Standard Architecture) bus, etc. Bus 6002 can be divided into address bus, data bus, control bus, etc. For ease of representation, Figure 6 The bus is represented by a single thick line, but this does not mean that there is only one bus or one type of bus.

[0092] The memory 6003 may be ROM (Read Only Memory) or other types of static storage devices capable of storing static information and instructions, RAM (Random Access Memory) or other types of dynamic storage devices capable of storing information and instructions, or EEPROM (Electrically Erasable Programmable Read Only Memory), CD-ROM (Compact Disc Read Only Memory) or other optical disc storage, optical disc storage (including compressed optical discs, laser discs, optical discs, digital universal optical discs, Blu-ray discs, etc.), magnetic disk storage media, other magnetic storage devices, or any other medium capable of carrying or storing computer programs and capable of being read by a computer, without limitation herein.

[0093] The memory 6003 stores computer programs that execute embodiments of this application, and its execution is controlled by the processor 6001. The processor 6001 executes the computer programs stored in the memory 6003 to implement the steps shown in the foregoing method embodiments.

[0094] This application provides a computer-readable storage medium storing a computer program. When the computer program is executed by a processor, it can implement the steps and corresponding content of the aforementioned method embodiments.

[0095] This application also provides a computer program product, including a computer program that, when executed by a processor, can implement the steps and corresponding content of the aforementioned method embodiments.

[0096] The terms "first," "second," "third," "fourth," "1," "2," etc. (if present) in the specification, claims, and accompanying drawings of this application are used to distinguish similar objects and are not necessarily used to describe a specific order or sequence. It should be understood that such data can be interchanged where appropriate so that the embodiments of this application described herein can be implemented in a sequence other than that shown in the illustrations or text descriptions.

[0097] It should be understood that although arrows indicate various operation steps in the flowcharts of this application's embodiments, the order in which these steps are implemented is not limited to the order indicated by the arrows. Unless explicitly stated herein, in some implementation scenarios of this application's embodiments, the implementation steps in each flowchart can be executed in other orders as required. Furthermore, some or all steps in each flowchart, based on the actual implementation scenario, may include multiple sub-steps or multiple stages. Some or all of these sub-steps or stages can be executed at the same time, and each sub-step or stage can also be executed at different times. In scenarios where execution times differ, the execution order of these sub-steps or stages can be flexibly configured according to requirements, and this application's embodiments do not limit this.

[0098] The above description is only an optional implementation method for some implementation scenarios of this application. It should be noted that for those skilled in the art, other similar implementation methods based on the technical concept of this application without departing from the technical concept of this application also fall within the protection scope of the embodiments of this application.

Claims

1. A brainwave signal detection device, characterized in that, include: Signal processing units and control units that are electrically connected to each other; The signal processing unit includes: A deep electrode is used to detect electroencephalogram (EEG) signals deep within the brain. The deep electrode includes a first functional layer, a second functional layer, a third functional layer, and a fourth functional layer arranged sequentially from the tip to the distal end. A first contact group is provided on the first functional layer, a second contact group is provided on the second functional layer, a third contact group is provided on the third functional layer, and a fourth contact group is provided on the fourth functional layer. A cortical electrode is used to detect electroencephalogram (EEG) signals in the cerebral cortex. The cortical electrode is provided with a fifth contact group and a sixth contact group. Each sixth contact in the sixth contact group is surrounded by at least four fifth contacts in the fifth contact group and is used to apply electrical stimulation to block the EEG signals detected by the corresponding fifth contact. The control unit is used for: Receives EEG signals detected by at least two of the first contact group, the second contact group, the third contact group, the fourth contact group, and the fifth contact group; Based on the temporal and / or characteristic differences of EEG signals from different contact point groups, a signal map reflecting the spatiotemporal setting characteristics of EEG signals is generated.

2. The EEG signal detection device according to claim 1, characterized in that, The signal map includes: the location information of the signal source of the EEG signal and the spatial propagation trend of the EEG signal.

3. The EEG signal detection device according to claim 2, characterized in that, The generation of an EEG activity map based on temporal and / or feature differences in EEG signals from different contact point groups includes at least one of the following: The first contact group detects the first EEG signal, and the second contact group does not detect the first EEG signal. According to the preset signal source determination algorithm, the first EEG signal is indicated on the signal map as: the signal source is located in the deep part of the brain in contact with the first functional layer, and no propagation towards the second functional layer is observed. The first contact group and the second contact group detect the second EEG signal in sequence, and the third contact group does not detect the second EEG signal. According to the signal source determination algorithm, on the signal map, the second EEG signal is indicated as: the signal source is located in the deep brain that is in contact with the first functional layer, and it is observed that the signal propagates from the deep brain that is in contact with the first functional layer to the deep brain that is in contact with the second functional layer. The first contact group, the second contact group, and the third contact group sequentially detect the third EEG signal, while the fourth contact group does not detect the third EEG signal. According to the signal source determination algorithm, on the signal map, the third EEG signal is indicated as follows: the signal source is located in the deep brain region in contact with the first functional layer, and it is observed that the signal propagates from the deep brain region in contact with the first functional layer through the deep brain region in contact with the second functional layer to the deep brain region in contact with the third functional layer. The first contact group, the second contact group, the third contact group, and the fourth contact group sequentially detect the fourth EEG signal, while the fifth contact group does not detect the fourth EEG signal. According to the signal source determination algorithm, on the signal map, the fourth EEG signal is indicated as follows: the signal source is located in the deep brain region in contact with the first functional layer, and it is observed that the signal propagates from the deep brain region in contact with the first functional layer sequentially through the deep brain region in contact with the second functional layer and the deep brain region in contact with the third functional layer to the deep brain region in contact with the fourth functional layer. No EEG signals were detected in the first contact group, the second contact group, the third contact group, and the fourth contact group, while the fifth contact group detected a fifth EEG signal. According to the signal source determination algorithm, the fifth EEG signal is indicated on the signal map as: the signal source is located in the cerebral cortex. Neither the first contact group nor the fifth contact group detected an EEG signal, and at least one of the second contact group, the third contact group, or the fourth contact group detected a sixth EEG signal. According to the signal source determination algorithm, the sixth EEG signal is indicated on the signal map as: the signal source is located in the deep brain that is not in contact with the deep electrode.

4. The EEG signal detection device according to claim 2 or 3, characterized in that, The control unit is also used for: Based on the signal source information and the spatial propagation trend of the EEG signal, a target electrical stimulation is generated to block the EEG signal, and applied to the target area through the deep electrodes and / or the cortical electrodes; The target area includes the area indicated by the signal source information and the area involved in the spatial propagation change trend.

5. The EEG signal detection device according to claim 4, characterized in that, The application of the substance to the target region via the deep electrode and / or the dermal electrode includes at least one of the following: The first electrical stimulation is applied to the target area by using the first contact group as the cathode for applying the first electrical stimulation corresponding to the first EEG signal, and the fourth contact group as the anode for applying the first electrical stimulation. By using the first contact group and the second contact group as cathodes for applying the second electrical stimulation corresponding to the second EEG signal, and the fourth contact group as anode for applying the second electrical stimulation, the second electrical stimulation is applied to the target area. The third electrical stimulation is applied to the target area by using the first contact group, the second contact group, and the third contact group as cathodes for applying the third electrical stimulation corresponding to the third EEG signal, and the fourth contact group as anode for applying the third electrical stimulation. By using the first contact group, the second contact group, and the third contact group as cathodes for applying the fourth electrical stimulation corresponding to the fourth EEG signal, and the fourth contact group as the anode for applying the fourth electrical stimulation, the fourth electrical stimulation is applied to the target area; at least one signal feature of the fourth electrical stimulation is stronger than the signal feature of the third electrical stimulation. The fifth electrical stimulation is applied to the target area by using the fifth contact group as the cathode for applying the fifth electrical stimulation corresponding to the fifth EEG signal, and the sixth contact group as the anode for applying the fifth electrical stimulation. The sixth electrical stimulation is applied to the target area by using the contact group that detects the sixth EEG signal as the cathode for applying the sixth electrical stimulation corresponding to the sixth EEG signal, and the fourth contact group as the anode for applying the sixth electrical stimulation.

6. The EEG signal detection device according to claim 5, characterized in that, The method of applying the fifth electrical stimulation to the target region by using the fifth contact group as the cathode for applying the fifth electrical stimulation corresponding to the fifth EEG signal and the sixth contact group as the anode for applying the fifth electrical stimulation includes: The fifth electrical stimulation is applied to the target region by using the target fifth contact point in the fifth contact point group that detects the fifth EEG signal as the cathode for applying the fifth electrical stimulation, and the sixth contact point in the sixth contact point group that is adjacent to the target fifth contact point as the anode for applying the fifth electrical stimulation.

7. The EEG signal detection device according to any one of claims 1 to 6, characterized in that, The first contact group comprises four first contacts, the diameter of the first contacts 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 second contact group includes four second contacts, the diameter of the second contacts ranges from 0.6 to 0.8 mm, and the center distance between the second contacts ranges from 1.0 to 1.5 mm; The number of third contacts in the third contact group includes two or three, the diameter of the third contact ranges from 1.0 to 1.2 mm, and the center distance between the third contacts ranges from 2.0 to 3.0 mm; The number of fourth contacts in the fourth contact group includes one or two, and the diameter of the fourth contact ranges from 1.5 to 2.5 mm; The diameter of the fifth contact in the fifth contact group ranges from 0.5 to 1.0 mm, and the fifth contact accounts for 70% to 80% of the total number of contacts on the skin electrode. The diameter of the sixth contact in the sixth contact group ranges from 1.5 to 2.5 mm, and the sixth contact accounts for 30% to 20% of the total number of contacts on the skin electrode.

8. The EEG signal detection device according to claim 7, characterized in that, The materials of the first contact and the fifth contact include platinum-iridium alloy plated with platinum black or titanium nitride. The fourth and sixth contacts are made of a smooth or microporous platinum-iridium alloy.

9. The EEG signal detection device according to claim 5 or 6, characterized in that, The first EEG signal includes: a microsecond-level high-frequency oscillation signal or a spike signal; the first electrical stimulation includes a biphasic charge-balancing pulse.

10. A method for controlling brainwave signals, characterized in that, include: Receives EEG signals detected by at least two of the following contact groups: first contact group, second contact group, third contact group, fourth contact group, and fifth contact group; Based on the temporal and / or feature differences of EEG signals from different touchpoint groups, a signal map reflecting the spatiotemporal setting characteristics of EEG signals is generated. The first contact group is disposed in the first functional layer of the deep electrode, the second contact group is disposed in the second functional layer of the deep electrode, the third contact group is disposed in the third functional layer of the deep electrode, and the fourth contact group is disposed in the fourth functional layer of the deep electrode; and the first functional layer, the second functional layer, the third functional layer, and the fourth functional layer are arranged sequentially from the tip to the distal end of the deep electrode; the deep electrode is used to detect electroencephalogram (EEG) signals in the deep brain. The fifth and sixth contact groups are disposed on the cortical electrodes, which are used to detect electroencephalogram (EEG) signals in the cerebral cortex. Each sixth contact in the sixth contact group is surrounded by at least four fifth contacts in the fifth contact group and is used to apply electrical stimulation that blocks the EEG signals detected by the corresponding fifth contact.

11. The EEG signal control method according to claim 10, characterized in that, The brainwave activity map includes: signal source information of the brainwave signals and the spatial propagation trend of the brainwave signals.

12. The EEG signal control method according to claim 11, characterized in that, The generation of an EEG activity map based on temporal and / or feature differences in EEG signals from different contact point groups includes at least one of the following: The first contact group detects the first EEG signal, and the second contact group does not detect the first EEG signal. According to the preset signal source determination algorithm, the first EEG signal is indicated on the signal map as: the signal source is located in the deep part of the brain in contact with the first functional layer, and no propagation towards the second functional layer is observed. The first contact group and the second contact group detect the second EEG signal in sequence, and the third contact group does not detect the second EEG signal. According to the signal source determination algorithm, on the signal map, the second EEG signal is indicated as: the signal source is located in the deep brain that is in contact with the first functional layer, and it is observed that the signal propagates from the deep brain that is in contact with the first functional layer to the deep brain that is in contact with the second functional layer. The first contact group, the second contact group, and the third contact group sequentially detect the third EEG signal, while the fourth contact group does not detect the third EEG signal. According to the signal source determination algorithm, on the signal map, the third EEG signal is indicated as follows: the signal source is located in the deep brain region in contact with the first functional layer, and it is observed that the signal propagates from the deep brain region in contact with the first functional layer through the deep brain region in contact with the second functional layer to the deep brain region in contact with the third functional layer. The first contact group, the second contact group, the third contact group, and the fourth contact group sequentially detect the fourth EEG signal, while the fifth contact group does not detect the fourth EEG signal. According to the signal source determination algorithm, on the signal map, the fourth EEG signal is indicated as follows: the signal source is located in the deep brain region in contact with the first functional layer, and it is observed that the signal propagates from the deep brain region in contact with the first functional layer sequentially through the deep brain region in contact with the second functional layer and the deep brain region in contact with the third functional layer to the deep brain region in contact with the fourth functional layer. No EEG signals were detected in the first contact group, the second contact group, the third contact group, and the fourth contact group, while the fifth contact group detected a fifth EEG signal. According to the signal source determination algorithm, the fifth EEG signal is indicated on the signal map as: the signal source is located in the cerebral cortex. Neither the first contact group nor the fifth contact group detected an EEG signal, and at least one of the second contact group, the third contact group, or the fourth contact group detected a sixth EEG signal. According to the signal source determination algorithm, the sixth EEG signal is indicated on the signal map as: the signal source is located in the deep brain that is not in contact with the deep electrode.

13. The EEG signal control method according to claim 11 or 12, characterized in that, The method further includes: Based on the signal source information and the spatial propagation trend of the EEG signal, a target electrical stimulation is generated to block the EEG signal, and applied to the target area through the deep electrodes and / or the cortical electrodes; The target area includes the area indicated by the signal source information and the area involved in the spatial propagation change trend.

14. The EEG signal control method according to claim 13, characterized in that, The application of the substance to the target region via the deep electrode and / or the dermal electrode includes at least one of the following: The first electrical stimulation is applied to the target area by using the first contact group as the cathode for applying the first electrical stimulation corresponding to the first EEG signal, and the fourth contact group as the anode for applying the first electrical stimulation. By using the first contact group and the second contact group as cathodes for applying the second electrical stimulation corresponding to the second EEG signal, and the fourth contact group as anode for applying the second electrical stimulation, the second electrical stimulation is applied to the target area. The third electrical stimulation is applied to the target area by using the first contact group, the second contact group, and the third contact group as cathodes for applying the third electrical stimulation corresponding to the third EEG signal, and the fourth contact group as anode for applying the third electrical stimulation. By using the first contact group, the second contact group, and the third contact group as cathodes for applying the fourth electrical stimulation corresponding to the fourth EEG signal, and the fourth contact group as the anode for applying the fourth electrical stimulation, the fourth electrical stimulation is applied to the target area; at least one signal feature of the fourth electrical stimulation is stronger than the signal feature of the third electrical stimulation. The fifth electrical stimulation is applied to the target area by using the fifth contact group as the cathode for applying the fifth electrical stimulation corresponding to the fifth EEG signal, and the sixth contact group as the anode for applying the fifth electrical stimulation. The sixth electrical stimulation is applied to the target area by using the contact group that detects the sixth EEG signal as the cathode for applying the sixth electrical stimulation corresponding to the sixth EEG signal, and the fourth contact group as the anode for applying the sixth electrical stimulation.

15. The EEG signal control method according to claim 14, characterized in that, The method of applying the fifth electrical stimulation to the target region by using the fifth contact group as the cathode for applying the fifth electrical stimulation corresponding to the fifth EEG signal and the sixth contact group as the anode for applying the fifth electrical stimulation includes: The fifth electrical stimulation is applied to the target region by using the target fifth contact point in the fifth contact point group that detects the fifth EEG signal as the cathode for applying the fifth electrical stimulation, and the sixth contact point in the sixth contact point group that is adjacent to the target fifth contact point as the anode for applying the fifth electrical stimulation.

16. The EEG signal control method according to any one of claims 10 to 15, characterized in that, The first contact group comprises four first contacts, the diameter of the first contacts 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 second contact group includes four second contacts, the diameter of the second contacts ranges from 0.6 to 0.8 mm, and the center distance between the second contacts ranges from 1.0 to 1.5 mm; The number of third contacts in the third contact group includes two or three, the diameter of the third contact ranges from 1.0 to 1.2 mm, and the center distance between the third contacts ranges from 2.0 to 3.0 mm; The number of fourth contacts in the fourth contact group includes one or two, and the diameter of the fourth contact ranges from 1.5 to 2.5 mm; The diameter of the fifth contact in the fifth contact group ranges from 0.5 to 1.0 mm, and the fifth contact accounts for 70% to 80% of the total number of contacts on the skin electrode. The diameter of the sixth contact in the sixth contact group ranges from 1.5 to 2.5 mm, and the sixth contact accounts for 30% to 20% of the total number of contacts on the skin electrode.

17. The EEG signal control method according to claim 16, characterized in that, The materials of the first contact and the fifth contact include platinum-iridium alloy plated with platinum black or titanium nitride. The fourth and sixth contacts are made of a smooth or microporous platinum-iridium alloy.

18. The EEG signal control method according to claim 14 or 15, characterized in that, The first EEG signal includes: a microsecond-level high-frequency oscillation signal or a spike signal; the first electrical stimulation includes a biphasic charge-balancing pulse.

19. A signal processing system, characterized in that, The device includes the electroencephalogram (EEG) signal detection device according to any one of claims 1 to 9.

20. A computer-readable storage medium, characterized in that, The computer-readable storage medium stores a computer program that, when executed by a processor, implements the EEG signal control method according to any one of claims 10 to 18.

21. A computer program product, comprising a computer program, characterized in that, When the computer program is executed by the processor, it implements the EEG signal control method according to any one of claims 10 to 18.

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