Implantable optic nerve brain-computer interface system

Abstract

The invention provides an implantable optic nerve brain-computer interface system, and the system comprises a first electrode matrix which is disposed in a first region to form a first spatial layout, and is used for collecting a first electric signal at a corresponding position of a preset sampling region of the first region; the second electrode matrix is arranged in the second area to form a second space layout and is used for receiving a modulation signal of the first electric signal; the conversion module is used for mapping row and column positions between the electrodes in the first electrode matrix and the electrodes in the second electrode matrix according to a spatial layout rule of the electrode matrixes; and the first electric signal is modulated, so that a modulated signal of the first electric signal is applied to the second region or a corresponding position below the second region through the second electrode matrix. The first electric signal in the specific area is collected through the first electrode matrix, and the first electric signal is redirected and modulated through the conversion module, so that the first electric signal is used as a targeted stimulation signal and is applied to the corresponding targeted area through the second electrode matrix, and effective electric stimulation is achieved.

Description

TECHNICAL FIELD

[0001] The present application relates to the field of medical equipment, in particular to an implantable optic nerve brain-computer interface system. BACKGROUND

[0002] The human visual system is composed of three parts: eyeball, visual transmission pathway and visual center. The eyeball collects visual signals and makes preliminary processing, forming image shape, brightness, chroma, depth, edge, texture, motion direction and other signals and sending them to the visual center through the visual transmission pathway. The visual transmission pathway includes the optic nerve, optic chiasm, optic tract, lateral geniculate body and optic radiation; the visual center includes the primary visual cortex (V1 area), secondary visual cortex and high-level visual cortex, responsible for processing and interpreting visual information. The objects in the outside world form vision in the human brain through the visual system, so any problem in any of the three components of the visual system will affect the imaging quality of the visual system. If the eyeball or the visual transmission pathway of a person has a problem, such as severe eye injury, glaucoma, retinal disease, optic neuropathy, the eyeball or the visual transmission pathway cannot transmit image signals to the visual center. In this case, although the patient's visual center function is normal, the visual center cannot form vision because it does not obtain image signals. Currently, some medical experiments have shown that applying certain electrical stimulation signals directly to the brain's visual center bypassing the eyeball and optic nerve can also generate a light spot image in the patient's brain, i.e. it is hoped to restore part of the patient's visual function by using this feature.

[0003] However, this process of directly stimulating the visual nerve center of the patient using electrical stimulation to restore part of the patient's visual function has many difficulties. First, the mechanism of action between the bioelectric signals transmitted by the optic nerve to the visual nerve center and the generation of images is not clear, making it difficult to determine the corresponding relationship between the stimulation signal and the image generation. Second, the brain structure of each person is different, and it is difficult to determine the accurate stimulation area to overcome the differences between individuals. SUMMARY

[0004] In order to generate an effective stimulation signal to the visual nerve center, the present application proposes an implantable optic nerve brain-computer interface system, comprising: a first electrode matrix arranged in a first region to form a first spatial layout, for collecting a first electrical signal at a corresponding position of a preset sampling region of the first region; a second electrode matrix arranged in a second region to form a second spatial layout, for receiving a modulated signal of the first electrical signal; a conversion module for mapping the row and column positions between the electrodes in the first electrode matrix and the electrodes in the second electrode matrix according to the spatial layout rule of the electrode matrix, and modulating the first electrical signal so that the modulated signal of the first electrical signal is applied to the corresponding position of the second region or below via the second electrode matrix.

[0005] In one or more embodiments, the preset sampling region is located at a preset position within or below the first region.

[0006] In one or more embodiments, the implantable optic nerve brain-computer interface system of the present application further comprises a signal processing module, which comprises: a multi-channel switching integrated circuit for scanning the first electrode matrix at a preset scanning frequency, and acquiring the first electrical signal on the first electrode matrix in each scanning period through time division multiplexing mode through a bus, and recording the row and column numbers of the acquisition electrode; a preamplification unit for preamplification processing of the acquired first electrical signal; and an analog-to-digital conversion unit for analog-to-digital conversion of the preamplified first electrical signal to generate a data acquisition matrix corresponding to a plurality of electrodes.

[0007] In one or more embodiments, the implantable optic nerve brain-computer interface system of the present application further comprises a data communication module, which comprises: a data sending unit connected with the signal processing module bus, for converting the data acquisition matrix into serial data for sending; a data receiving unit in communication connection with the data sending unit and in bus connection with the conversion module, for receiving the serial data and restoring it to the data acquisition matrix and forwarding it to the conversion module.

[0008] In one or more embodiments, the conversion module further comprises a processor, which is configured to: partition the first spatial layout to obtain a plurality of first sub-space layout partitions; partition the second spatial layout to obtain a plurality of second sub-space layout partitions; calculate the similarity of the first sub-space layout partitions and the second sub-space layout partitions; map the electrodes in the first sub-space layout partitions with the electrodes in the second sub-space layout partitions with similarity greater than a preset similarity threshold to form a mapping relationship reference table; and perform row and column address conversion on the data acquisition matrix according to the mapping relationship reference table.

[0009] In one or more embodiments, the conversion module further comprises a digital-to-analog conversion unit, which is configured to: perform digital-to-analog conversion on the data acquisition matrix after row and column address conversion to obtain the first electrical signal, and use the first electrical signal as a targeted stimulation signal.

[0010] In one or more embodiments, the conversion module further comprises a signal modulation unit, which is configured to: generate two frequency modulation signals with frequency proportional to signal amplitude and phase difference of 180° through frequency modulation of the targeted stimulation signal; and apply at least one of the frequency modulation signals and the corresponding carrier signal to at least two stimulation electrodes in the second electrode matrix, so that the frequency modulation signal and the corresponding carrier signal superimpose to generate a difference frequency signal in the target region.

[0011] In one or more embodiments, the processor in the conversion module is further configured to: in response to the existence of multiple groups of electrodes corresponding to the target area, divide the preset action duration into multiple equal parts, and use at least one group of electrodes as the on electrode to stimulate the target area in each equal part of time.

[0012] In one or more embodiments, the processor in the conversion module is further configured to: before applying the at least one frequency-modulated signal and the corresponding carrier signal to the corresponding electrode to form the on electrode, assign an amplification coefficient A to each group of electrodes according to the required stimulation intensity; adjust the normalized relative amplitude coefficient (0 <1> to adjust the relative size of the carrier component and the frequency-modulated component in each group of frequency-modulated signals; wherein the amplification multiples of the carrier signal and the frequency-modulated signal in each group of frequency-modulated signals are and .

[0013] In one or more embodiments, the processor in the conversion module is further configured to: uniformly or locally adjust the amplification coefficient A and the normalized relative amplitude coefficient .

[0014] The beneficial effects of the present application include: the present application can collect a first electrical signal in a specific area through a first electrode matrix arranged at a predetermined position in a visual acquisition body, and through the reorientation and modulation of the conversion module, the first electrical signal is applied to the corresponding target area as a targeted stimulation signal through a second electrode matrix arranged at a predetermined position in a visual perception body, thereby realizing effective electrical stimulation. BRIEF DESCRIPTION OF DRAWINGS

[0015] In order to more clearly illustrate the technical solutions in the embodiments of the present application or the prior art, the following will briefly introduce the drawings needed to be used in the embodiments or prior art description. Obviously, the drawings in the following description are only some embodiments of the present application, and for those skilled in the art, other embodiments can also be obtained from these drawings without creative labor.

[0016] Figure 1 The structure diagram of the implantable optic nerve brain-computer interface system of the embodiment of the present application; Figure 2 The application scenario diagram of the implantable optic nerve brain-computer interface system of the present application; Figure 3 The structure diagram of the first electrode matrix or the second electrode matrix of the embodiment of the present application; Figure 4 The signal collection diagram of the first electrode matrix at the first scanning time in the embodiment of the present application; Figure 5 Fig. 1 is a schematic diagram of the signal collected by the first electrode matrix at the second scanning moment according to an embodiment of the present application; Figure 6 Fig. 2 is a schematic diagram of the mapping process between the first electrode matrix and the second electrode matrix according to an embodiment of the present application; Figure 7 Fig. 3 is a schematic diagram of the signal stimulation of the second electrode matrix according to an embodiment of the present application; Figure 8 Fig. 4 is a schematic diagram of the structure of the frequency modulation circuit according to an embodiment of the present application. DETAILED DESCRIPTION

[0017] In order to make the objects, technical solutions and advantages of the present application clearer, the embodiments of the present application are further described in detail below with reference to the drawings.

[0018] It should be noted that all the expressions of "first" and "second" in the embodiments of the present application are used to distinguish two same-named different entities or different parameters, and the "first" and "second" are only for the convenience of description and should not be understood as a limitation of the embodiments of the present application. The subsequent embodiments will not be described one by one.

[0019] In order to generate a stimulation signal effective to the visual nerve center, the present application proposes an implantable visual nerve brain-computer interface system, as shown in Figure 1 Fig. 1, which comprises: a first electrode matrix 100 arranged in a first region to form a first spatial layout, used for collecting a first electrical signal at a corresponding position of a preset sampling region of the first region, wherein the first region and below thereof are a bioelectric signal conduction area or a bioelectric signal generation area, and the first electrical signal is an electroencephalogram on the visual nerve center cortex of the brain of a person or animal with normal vision, which is a reflection of the object seen on the visual cortex; a second electrode matrix 200 arranged in a second region to form a second spatial layout, used for receiving a modulated signal of the first electrical signal, wherein the second region and below thereof are a bioelectric signal receiving area, but essentially they are also bioelectric signal conduction areas or bioelectric signal generation areas; a conversion module 300 used for mapping the row and column positions between the electrodes in the first electrode matrix 100 and the electrodes in the second electrode matrix 200 according to the spatial layout rule of the electrode matrix, and modulating the first electrical signal so that the first electrical signal is applied to the corresponding position of the second region or below thereof via the second electrode matrix. Wherein, the formation of the first spatial layout and the second spatial layout includes that when the flexible first / second electrode matrix is attached to the corresponding region, the relative distance and the relative angle between the electrodes are forced to change due to the influence of the shape of the region. In one application, when the first electrode matrix and the second electrode matrix are arranged on the surface of the epidural of the brain, the spatial layout thereof will be affected by the shape of the functional division of the visual nerve center cortex below.

[0020] The implantable optic nerve brain-computer interface system proposed in the embodiment can achieve the electric signal collected by the first electrode matrix 100 being reproduced at the specified position by the second electrode matrix 200, so as to achieve the electric stimulation on the specified position, without the need of paying attention to the mechanism between the brain electric signal and the visual image generation, and the certain visual recovery effect is achieved.

[0021] In an optional application mode, the first electrode matrix 100 can be arranged on the outer surface of the dura mater or other positions in the skull inside the cerebral visual nerve central cortex part of the pet or user A, such as the inner surface of the skull, so as to form a first spatial layout, wherein the pet should be at least a mammal and have a brain structure similar to that of human brain, such as pet cat, pet dog and the like; this is because the visual formation process of mammals is similar, such as Figure 2 As shown, the light reflected by the external object enters the eyeball to form an inverted real image on the retina, the photosensitive cells of the retina convert the image light signal into an image electric signal, the image electric signal is processed by horizontal cells, amacrine cells and bipolar cells to reach the ganglion cells, the axons of the ganglion cells form the optic nerve to transmit the image electric signal to the brain, the left and right image nasal sides are exchanged at the optic chiasm to form the optic tract to enter the lateral geniculate body of the thalamus, and then the radial nerve fibers enter the visual center, the visual center includes the primary visual cortex and the secondary visual cortex, and the visual center forms the vision after analyzing the input image electric signal. The second electrode matrix 200 can be arranged on the outer surface of the dura mater or other positions in the skull inside the cerebral visual nerve central cortex part of the user B, such as the inner surface of the skull. As shown, Figure 2 As shown, the application mode of the implantable optic nerve brain-computer interface system of the application bypasses the process of the mammal's visual system processing the light signal and converting it into an electric signal, and does not need to clearly know the specific process that the electric signal entering the visual nerve center finally forms the vision in the brain, but only needs to extract the brain electric signal from the specified position of the A brain and apply the same electric signal on the corresponding position of the B brain, so as to stimulate the B brain to form certain visual imaging, such as light spots or outlines composed of light spots, even color and the like. Therefore, for the patient B who is blind due to the damage of the eyeball and the optic nerve, if the function of the cerebral visual nerve central cortex part is good, the patient B can use the implantable optic nerve brain-computer interface system of the application and the pet or user A with normal visual function to restore the partial visual function of the patient B.

[0022] In one embodiment, the preset sampling region is located at or below a preset position in the first region. In view of the safety of use, the implantable optic nerve brain-computer interface system of the present application allows the second electrode matrix to be arranged on the epidural surface of the brain, so that the system of the present application is required to be capable of achieving electrical stimulation on the visual nerve center below the dura mater (i.e. the second region); for this purpose, the present application selects to convert the collected brain electrical signals into frequency signals, and generates a superimposed electric field at the target position through the frequency signals so that the brain tissue at the target position is excited by the electric field to generate an electrical stimulation signal, and the specific manner will be described later. The benefits of implanting the electrode on the epidural surface of the brain in this embodiment are embodied in the following aspects: 1. The trauma is small, only a hole needs to be opened on the skull, the dura mater is not damaged, and the brain tissue and cerebrospinal fluid inside the dura mater are not harmed, thereby reducing the risk of surgical infection; 2. Compared with the selection of a brain cap form for signal collection and stimulation outside the scalp, the signal strength collected is high, the accuracy is good, the current required for stimulation is small, the side effects are small, the spatial resolution is high, and the stimulation accuracy can be guaranteed; 3. Compared with direct stimulation on the cerebral cortex inside the dura mater, the brain tissue and cerebrospinal fluid are not directly contacted, and the risk of surgical infection is small.

[0023] In one embodiment, as shown in Figure 1 In order to achieve the collection and transmission of multiple signals, the implantable optic nerve brain-computer interface system of the present application further comprises a signal processing module 400, which comprises: a multi-channel switching integrated circuit 410 for scanning the first electrode matrix at a preset scanning frequency, and acquiring the first electrical signal on the first electrode matrix in each scanning period through a bus in a time division multiplexing manner, and recording the row and column numbers of the collection electrode; a preamplification unit 420 for preamplifying the acquired first electrical signal; and an analog-to-digital conversion unit 430 for analog-to-digital conversion of the preamplified first electrical signal to generate a data collection matrix corresponding to a plurality of electrodes.

[0024] In one optional embodiment, the data elements in the data collection matrix correspond one-to-one to the electrodes in the first electrode matrix, i.e. each element is the electrical signal data collected by each electrode when it is scanned, including but not limited to the current size and direction of the electrical signal. In one scanning period, since the scanning frequency is high, each data element in the data collection matrix can be regarded as a record of the continuous change of the brain wave signal.

[0025] In one optional application mode, as shown in Figure 3As shown, the first electrode matrix 100 for collecting electroencephalogram signals adopts 32*32=1024 electrodes, each of which is a patch electrode, and all the 1024 electrodes are attached to the curved surface outside the dura mater of pet A or user A; correspondingly, the second electrode matrix 200 for applying stimulating electrical signals also adopts 32*32=1024 electrodes, each of which is also a patch electrode, and all the 1024 electrodes are attached to the curved surface outside the dura mater corresponding to the visual nerve central cortex position of the occipital lobe of user B; since the electrode array is implanted outside the dura mater or other positions in the skull, and the processor circuit needs to be implanted outside the skull, a lead connection is needed between the two. In order to reduce the number of leads, a multi-path selection switching integrated circuit 410 is arranged at the output end of the first array electrode, which is responsible for recording multiple analog signals from 1024 electrodes through time division multiplexing mode, and transmitting these analog signals to the processor arranged outside the skull through a few leads, so as to reduce the number of leads between the first electrode matrix 100 and the first processor 600. The first processor 600 is used to control the start-stop and working mode of the analog-to-digital conversion unit 430 and the data sending unit 510. In an optional embodiment, the patch electrode provided by the application can be designed as a curved surface, the shape of which matches the shape of the dura mater of the brain, so as to fully ensure the effective contact of the electrode with the cerebral cortex, reduce the contact impedance, and the spatial distribution of the electrode matrix implies the functional information of the brain region, which facilitates subsequent analysis and adjustment of the mapping relationship between the first electrode matrix 100 and the second electrode matrix 200 based on the spatial distribution of the electrode matrix.

[0026] In a specific embodiment, the process of collecting electroencephalogram signals is as shown in Figure 4 The collection of electroencephalogram signals needs to be realized by cooperation of several electrodes, and in order to reduce the noise in the collected signals, a differential signal mode is adopted to record the electroencephalogram signals, that is, two groups of four electrodes are used to collect and two signals. When this mode is adopted, 32*32 electrodes can record signals at 31*31=961 different positions, and then time division multiplexing is adopted to record signals at 961 different positions in turn, including: , wherein, represents the signal at the mth row and nth column position; wherein the differential signal is the voltage difference of the electrical signal collected by the electrode relative to the GND signals on its two adjacent electrodes and . In this embodiment, in order to improve the anti-interference ability of the signal collection electrode, two adjacent electrodes and in the row and column where the electrode is located are selected respectively.Grounding, making its surroundings not exist the electrical signal which causes the interference to it. Among them, it needs to be explained that With In the same position in the electrode matrix, the difference indicates that only the collected signal or electrode is distinguished.

[0027] In one embodiment, since the differential signal needs to collect positive and negative signals, that is, at least two collection electrodes are needed, and in order to improve the reusability of the electrode to collect more electrical signals, the embodiment will select two adjacent diagonal electrodes in the electrode matrix as shown in Figure 4 Responsible for collecting differential signals, and select another two diagonal electrodes adjacent to the two diagonal electrodes as ground, that is, a total of 4 electrodes are needed to collect a set of differential signals; when the next scan comes, only one column needs to be moved to the right, and the electrodes used for signal collection and grounding at this time are as shown in Figure 5 In this embodiment, the multi-channel switching integrated circuit 410 needs to scan two columns of electrodes at the same time each time.

[0028] In another embodiment, the grounding mode of the electrode matrix can also be realized by using a reference electrode outside the electrode matrix, that is, to calculate the potential difference of any electrode in the collection electrode matrix relative to the reference electrode outside the matrix. According to this method, full-point collection of the electrode matrix can be realized, for example, for a 32*32 electrode matrix, a total of 1024 channel collection data can be realized.

[0029] In one embodiment, in order to facilitate use, the implantable optic nerve brain-computer interface system of the present application further comprises a data communication module 500, which comprises: a data sending unit 510 connected with the signal processing module 400 bus, used for converting the data collection matrix into serial data for sending; a data receiving unit 520, which is in communication connection with the data sending unit 510 and is connected with the conversion module 300 bus, used for receiving serial data and restoring it to the data collection matrix and forwarding it to the conversion module 300. Among them, the data sending unit 510 and the data receiving unit 520 are wireless communication units, such as Bluetooth, WiFi or Zigbee communication units; in use, the data sending unit 510 and the data receiving unit 520 belong to the electroencephalogram signal collection subsystem where the first electrode matrix is located and the electrical stimulation subsystem where the second electrode matrix is located respectively, the two subsystems are in communication connection, and the conversion module 300 is arranged on the side of the electrical stimulation subsystem.

[0030] In one embodiment, the conversion module 300 further comprises a processor, that is, Figure 1the second processor in the second processor, the processor is used for: partitioning the first spatial layout to obtain a plurality of first sub spatial layout partitions; partitioning the second spatial layout to obtain a plurality of second sub spatial layout partitions; calculating the similarity of the first sub spatial layout partition and the second sub spatial layout partition; mapping the electrodes in the first sub spatial layout partition and the electrodes in the second sub spatial layout partition in row and column numbers when the similarity is greater than a preset similarity threshold; and performing row and column address transformation on the data acquisition matrix according to the row and column number mapping relationship between the electrodes in the first sub spatial layout partition and the electrodes in the second sub spatial layout partition, wherein it needs to be explained that the row and column address transformation performed on the data acquisition matrix in the embodiment is not a transpose operation of the matrix, but only to determine the starting electrode and the terminal electrode of the applied electric stimulation. Specifically, the process of establishing the mapping relationship between the first electrode matrix and the second electrode matrix in the application is as shown in Figure 6 , which is equivalent to the process of re-determining the communication channel of the signal collected by the corresponding point of the first electrode matrix and transmitted to the corresponding point of the second electrode matrix, but since the first electrode matrix and the second electrode matrix are not directly connected by wires, but are connected by the data acquisition matrix, the row and column transformation of the data acquisition matrix is equivalent to the process of re-establishing the communication channel between the first electrode matrix and the second electrode matrix; wherein it needs to be explained that Figure 6 is only a schematic diagram, which does not represent that the mapping relationship between the first electrode matrix and the second electrode matrix in the application can only be one-to-one mapping as shown in Figure 6 , but in the actual application process, the number of electrodes in the first electrode matrix and the second electrode matrix is realized, including one-to-one, one-to-many and / or many-to-one mapping relationship, for example, when the similarity calculation of the electrode matrix partition is performed, if the size of the two sub spatial layout partitions or the number of electrodes in the partition is inconsistent, one-to-one, one-to-many and / or many-to-one mapping relationship will occur.

[0031] Further, in order to facilitate the control of the electric stimulation position, the electrode position in the second electrode matrix is bound to the element position in the data acquisition matrix, for example, the data element in the first row and the first column position in the data acquisition matrix will be applied to the electrode corresponding to the first row and the first column position in the second electrode matrix after being converted into an analog signal.

[0032] In addition, since the function of the brain is closely related to the distribution of its surface sulcus and gyrus, and the distribution of sulcus and gyrus will affect the shape of the dura mater, and further affect the spatial distribution of the electrode matrix, therefore the purpose of the embodiment is to indirectly determine the characteristics of the brain function area below by analyzing the characteristics of the spatial layout, thereby indirectly realizing the correspondence of the brain function area.

[0033] In one optional application, after the first and second electrode matrices are deployed, the present invention can obtain a first spatial layout image of the first electrode matrix and a second spatial layout image of the second electrode matrix by taking X-rays or color Doppler ultrasound. Then, the images are partitioned, and the similarity of the electrode layout in each partition of the first and second spatial layout images is determined by image analysis to generate a mapping relationship reference table between the partitioned electrodes. In another optional embodiment, the spatial layout of the first electrode matrix and the spatial layout of the second electrode matrix can also be partitioned according to the correspondence between the brain functional partitions of brain A and stimulated brain B, and a mapping relationship reference table between the partitioned electrodes can be generated.

[0034] In one embodiment, the conversion module 300 is further configured to: perform digital-to-analog conversion on the data acquisition matrix after row and column address transformation to obtain a first electrical signal, and use the first electrical signal as a target stimulation signal.

[0035] In one embodiment, the conversion module is further configured to: generate two frequency-modulated signals from the targeted stimulus signal using frequency modulation, wherein the frequency is proportional to the signal amplitude and the phase difference is 180°, such as... Figure 7 As shown, or There are two frequency modulation signals, and the corresponding carrier signals for the two frequency modulation signals are... or At least one frequency-modulated signal and at least one corresponding carrier signal are applied to at least one pair of stimulating electrodes, such that the electric fields generated by the frequency-modulated signal and the corresponding carrier signal are superimposed in the target region to generate a difference frequency signal. The difference frequency signal This is the targeted stimulation signal, also known as the first electrical signal. Preferably, two frequency-modulated signals with a 180° phase difference and two corresponding carrier signals (also with a 180° phase difference) are simultaneously applied to the four electrodes, thereby creating differential signals between the two frequency-modulated signals and between the two carrier signals, and causing the four signals to superimpose in the target region to generate a difference frequency signal. The method of applying electrical stimulation using two sets of difference frequency signals can avoid the formation of a DC component in the target area, thereby avoiding the problem of electrical neutrality caused by DC bias.

[0036] Specifically, the conversion module also includes a digital-to-analog converter unit 310 and a frequency modulation circuit 320. The digital-to-analog converter unit 310 is used to convert the data acquisition matrix after row and column address transformation into a digital-to-analog signal to obtain the first electrical signal. The structure of the frequency modulation circuit 320 is as follows: Figure 8As shown, the conversion module 300 comprises: a carrier generating unit 321 for generating a carrier signal of a specified frequency, such as a carrier signal of 20-200 kHz; a signal modulating unit 322 for loading a first electrical signal into the carrier signal; a frequency-modulated signal amplifier 323 for amplifying the frequency-modulated signal, with an amplification factor of wherein, represents the normalized relative amplitude coefficient of the mth row and nth column, ranging between 0 and 1, the smaller the carrier component is relative to the frequency-modulated component; the larger the carrier component is relative to the frequency-modulated component; and a carrier amplifier 324 for amplifying the carrier signal to keep consistent with the carrier component in the amplified frequency-modulated signal, with an amplification factor of Optionally, the frequency-modulated signal amplifier 323 and the carrier amplifier 324 are both adjustable gain amplifiers.

[0037] In one embodiment, the processor 340 in the conversion module 300 is further configured to: in response to the existence of multiple groups of electrodes corresponding to the target region, divide the preset action duration into multiple equal parts, and use each group of electrodes as the conducting electrode to stimulate the target region in each equal part of time.

[0038] In one embodiment, the existence of multiple groups of electrodes corresponding to the target region means that multiple electrodes can act on the target region, and the multiple groups of electrodes can include one same electrode, for example, as shown in FIG. 1, Figure 5 , , , The four electrodes can all act on the same target region, and the multiple groups of electrodes formed can include: and , and , and , and , and and and . A separate newly added embodiment is described.

[0039] In one embodiment, the processor 340 in the conversion module 300 is further configured to: before applying each frequency-modulated signal and the corresponding carrier signal to the corresponding electrode to form the conducting electrode, assign an amplification factor A to each group of electrodes according to the required stimulation intensity, i.e., the amplification factor of the frequency-modulated signal amplifier 323 or the carrier amplifier 324; and adjust the normalized relative amplitude coefficient ​adjusting the relative size of the carrier component and the frequency modulation component in each group of frequency modulation signals; wherein the final amplification multiple of each group of frequency modulation signals (carrier signal and corresponding frequency modulation signal) is and .

[0040] In one embodiment, the processor 340 in the conversion module 300 is further configured to uniformly or locally adjust the amplification coefficient A of the corresponding electrode and the normalized relative amplitude coefficient .

[0041] In one embodiment, as shown in Figure 1 The implantable optic nerve brain-computer interface system of the present application is composed of a signal acquisition subsystem and an electrical stimulation subsystem, which are connected in communication by wireless communication. For this purpose, the two subsystems are respectively configured with corresponding power supply modules 700 and 800, and the power supply modules of the two subsystems are each composed of a wireless energy transmitter, a wireless energy receiver and a power management unit. The power management can be a functional program preset in the first processor 600 or the second processor 340.

[0042] The implantable optic nerve brain-computer interface system of the present application has the following characteristics: 1. The curved electrode is attached to the dura mater at the cerebral cortex position, ensuring that the electrode can fully contact the cerebral cortex and effectively reduce the contact impedance; 2. The electrode is attached outside the dura mater, and the stimulation precision can be controlled within millimeters by the time-space interference stimulation method; 3. A 32*32=1024 electrode array is used to record the electroencephalogram of the visual nerve central cortex, and a 32*32=1024 electrode array is used to stimulate the visual cortex of the human brain. The signal recorded by each electrode is converted by address conversion, and the visual nerve central cortex of the human brain is stimulated; 4. High-frequency current (20 kHz) can penetrate the dura mater and shallow tissue, and superimpose at the deep brain area; 5. The time interference stimulation method is used, and the position of the low-frequency signal formed by the time interference can be adjusted by adjusting the normalized relative amplitude coefficient 6. The time division multiplexing method is used to record the intermittent electroencephalogram and intermittent deep brain stimulation, reducing the number of wires between the electrode and the processor; 7. A multi-channel selection switching integrated circuit is provided on the first electrode matrix, which is responsible for recording 961 differential analog signals from 1024 electrode sites or 1024 analog signals recorded relative to a common reference electrode in time division, and transmitting these analog signals to the processor circuit provided outside the skull through a small number of wires, reducing the complexity of the system.

[0043] The above are exemplary embodiments disclosed by the present application, but it should be noted that various changes and modifications can be made without departing from the scope of the embodiments disclosed by the present application defined by the claims. The functions, steps and / or actions of the method claims described herein need not be performed in any particular order. The above described embodiment numbers of the embodiments disclosed by the present application are merely for description and do not represent the advantages or disadvantages of the embodiments.

[0044] It should be understood by those of ordinary skill in the art that the above discussion of any of the embodiments is merely exemplary and is not intended to suggest that the scope of the embodiments disclosed by the present application (including the claims) is limited to these examples; the technical features between the above embodiments or different embodiments can also be combined, and there are many other changes of the different aspects of the embodiments disclosed by the present application as described above, which are not provided in detail for the sake of brevity. Therefore, any omissions, modifications, equivalent replacements, improvements, etc. made within the spirit and principles of the embodiments disclosed by the present application shall be included in the scope of protection of the embodiments disclosed by the present application.

Claims

1. An implantable optic nerve brain-machine interface system, comprising: The method comprises the following steps: a first electrode matrix is arranged in a first region to form a first spatial layout, and is used to collect a first electrical signal at a preset sampling region of the first region; a second electrode matrix is arranged in a second region to form a second spatial layout, and is used to receive a modulated signal of the first electrical signal; a conversion module is used to map the row and column positions between the electrodes in the first electrode matrix and the electrodes in the second electrode matrix according to the spatial layout rule of the electrode matrix, and modulate the first electrical signal so that the modulated signal of the first electrical signal is applied to the corresponding position in or below the second region through the second electrode matrix.

2. The implantable optic nerve brain-machine interface system of claim 1, wherein, The preset sampling region is located at a preset position in or below the first region.

3. The implantable optic nerve brain-machine interface system of claim 1, wherein, The method further comprises a signal processing module, which comprises: a multi-channel switching integrated circuit is used to scan the first electrode matrix at a preset scanning frequency, and in each scanning period, the first electrical signal on the first electrode matrix is acquired through a bus in a time division multiplexing manner, and the row and column numbers of the collection electrodes are recorded; a pre-amplification unit is used to pre-amplify the acquired first electrical signal; and an analog-to-digital conversion unit is used to perform analog-to-digital conversion on the pre-amplified first electrical signal to generate a data collection matrix corresponding to a plurality of electrodes.

4. The implantable optic nerve brain-machine interface system of claim 3, wherein, The method further comprises a data communication module, which comprises: a data sending unit connected with the bus of the signal processing module, used to convert the data collection matrix into serial data for sending; a data receiving unit in communication connection with the data sending unit and in bus connection with the conversion module, used to receive the serial data and restore it to the data collection matrix and forward it to the conversion module.

5. The implantable optic nerve brain-machine interface system of claim 3, wherein, The conversion module further comprises a processor, which is used to: partition the first spatial layout to obtain a plurality of first sub-space layout partitions; partition the second spatial layout to obtain a plurality of second sub-space layout partitions; calculate the similarity between the first sub-space layout partitions and the second sub-space layout partitions; map the electrodes in the first sub-space layout partitions with the electrodes in the second sub-space layout partitions with a row and column number to form a mapping relationship table when the similarity is greater than a preset similarity threshold; perform row and column address conversion on the data collection matrix according to the mapping relationship table.

6. The implantable optic nerve brain-machine interface system of claim 5, wherein, The conversion module further comprises a digital-to-analog conversion unit, which is used to: perform digital-to-analog conversion on the data collection matrix after the row and column address conversion to obtain the first electrical signal, and use the first electrical signal as a targeted stimulation signal.

7. The implantable optic nerve brain-machine interface system of claim 6, wherein, The conversion module further comprises a signal modulation unit, which is used to: generate two frequency modulation signals with a frequency proportional to the signal amplitude and a phase difference of 180° through frequency modulation of the targeted stimulation signal; apply at least one of the frequency modulation signals and the corresponding carrier signal to at least two stimulation electrodes in the second electrode matrix, so that the frequency modulation signal and the corresponding carrier signal superimpose to generate a difference frequency signal in the target region.

8. The implantable optic nerve brain-machine interface system of claim 7, wherein, The processor in the conversion module is further used to: In response to the existence of multiple groups of electrodes corresponding to the target region, a preset action duration is divided into multiple equal parts, and at least one group of electrodes is used as a conducting electrode to stimulate the target region in each equal part of time.

9. The implantable optic nerve brain-machine interface system of claim 8, wherein, The processor in the conversion module is further configured to: Before applying the at least one frequency-modulated signal and the corresponding carrier signal to the corresponding electrode to form a conducting electrode, an amplification coefficient A is assigned to each group of electrodes according to the required stimulation intensity; Adjusting the normalized relative amplitude coefficients in each group of frequency modulated signals (0 < 1) to adjust the relative size of the carrier component and the frequency modulated component in each group of frequency modulated signals; Wherein, the amplification multiples of the carrier signal and the frequency modulation signal in each group of frequency modulation signals are respectively and .

10. The implantable optic nerve brain-machine interface system of claim 9, wherein, The processor in the conversion module is further configured to: The processor in the conversion module is further configured to: Uniformly or locally adjusting the amplification factor A and the normalized relative amplitude factor of the corresponding electrodes .

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