Invasive brain-computer interface system and brain-computer interface signal processing method

Abstract

The invention discloses an invasive brain-computer interface system and a brain-computer interface signal processing method. Relates to the technical field of intelligent terminals, and solves the problem that an existing brain-computer interface system lacks general applicability. According to the invention, at least one receiving module can be selected to realize full-receiving coverage of signals when stable coverage of a relatively large field is required and stable signal quality and reliable data transmission are ensured. When a large number of neural signals need to be processed and the requirement for the data transmission rate is higher, a plurality of implanted transmitting modules can be accessed, more neural signals can be transmitted in limited spectrum resources, the data transmission efficiency is greatly improved, and it is ensured that the neural signals of multiple channels can be transmitted in parallel and efficiently. And the working state of the receiving module is dynamically adjusted according to actual requirements, so that the use of resources is optimized, and the signal processing efficiency is improved.

Description

Technical Field

[0001] The present application relates to the field of intelligent terminal technology, and in particular to an invasive brain-computer interface system and a brain-computer interface signal processing method. Background Art

[0002] Brain-computer interface (BCI) technology enables direct communication between the brain and external devices. As a crucial tool for studying the structure and function of the brain, BCI technology has become a strategic frontier in global technological competition. Since its introduction, with the deepening of neuroscience research and advancements in hardware technology, BCI technology has gradually evolved from non-invasive to invasive, from low-throughput to high-throughput, and from wired to wireless connections.

[0003] Currently, the wireless receiving module solutions used by most brain-computer interface systems are usually determined according to the system's own characteristics and application scope, and specific communication modes are achieved through fixed hardware configurations. The spectrum resource utilization rate is low and lacks universal applicability.

[0004] It can be seen from this that how to solve the problem of the lack of universal applicability of the current brain-computer interface system is a technical problem that needs to be urgently solved by people in this field. Summary of the Invention

[0005] The purpose of this application is to provide an invasive brain-computer interface system and a brain-computer interface signal processing method to solve the problem that the current brain-computer interface system lacks universal applicability.

[0006] To solve the above technical problems, the present application provides an invasive brain-computer interface system, comprising:

[0007] At least one implantable transmitting module, at least one receiving module, and a controller; the implantable transmitting module and the receiving module communicate wirelessly, the implantable transmitting module is implanted subcutaneously to convert the neuroelectrophysiological signal into a wireless signal and send it to the receiving module, and the receiving module receives and processes the wireless signal;

[0008] The controller is connected to the receiving module; the controller controls the number of starting receiving modules and the wireless signal receiving mode according to the number and working mode of the connected implanted transmitting modules, and the controller receives the wireless signal processed by the receiving module and obtains the original neuroelectrophysiological signal.

[0009] As an optional solution, in the above-mentioned invasive brain-computer interface system, the number of connected implantable transmitter modules is one;

[0010] The controller controls to start one of the receiving modules and configures the wireless signal receiving mode of the receiving module according to the signal frequency band of the currently started implanted transmitting module.

[0011] As an optional solution, in the above-mentioned invasive brain-computer interface system, the number of connected implantable transmitter modules is one;

[0012] The controller controls the activation of the plurality of receiving modules and dynamically adjusts the wireless signal receiving modes and gains of the plurality of receiving modules through a receiving diversity configuration scheme according to the signal frequency band and spatial position of the currently activated implanted transmitting module.

[0013] As an optional solution, in the above-mentioned invasive brain-computer interface system, the number of accesses of the implanted transmitting module is multiple;

[0014] The controller controls the activation of one of the receiving modules and dynamically adjusts the wireless signal receiving mode and gain of the receiving module through a transmit diversity configuration scheme according to the signal frequency bands and spatial positions of the multiple implanted transmitting modules currently activated.

[0015] As an optional solution, in the above-mentioned invasive brain-computer interface system, the number of accesses of the implanted transmitting module is multiple;

[0016] The controller controls the activation of multiple receiving modules and dynamically adjusts the wireless signal receiving modes and gains of the multiple receiving modules through a spatial diversity configuration scheme and a spatial multiplexing configuration scheme according to the signal frequency bands and spatial positions of the multiple implanted transmitting modules currently activated.

[0017] As an optional solution, in the above-mentioned invasive brain-computer interface system, the plurality of receiving modules include a baseboard, a plurality of pluggable front-end modules, and an antenna;

[0018] The magnetic connector at the bottom of the pluggable front-end module is connected to the base plate to output a low-frequency signal and is connected to a power supply to output a low-frequency signal;

[0019] The SMA interface of the pluggable front-end module is connected to the antenna.

[0020] As an optional solution, in the above-mentioned invasive brain-computer interface system, the controller is a field programmable gate array;

[0021] The field programmable gate array is arranged on the baseboard, and the field programmable gate array outputs signals through a high-definition multimedia interface or a universal serial bus interface.

[0022] To solve the above technical problems, the present application also provides a brain-computer interface signal processing method, which is applied to an invasive brain-computer interface system, comprising at least one implanted transmitting module, at least one receiving module, and a controller; the implanted transmitting module and the receiving module communicate wirelessly, the implanted transmitting module is used to send wireless signals converted from neuroelectrophysiological signals to the receiving module, and the receiving module receives and processes the wireless signals; the controller is connected to the receiving module, the controller controls the number of activated receiving modules, the controller controls the number of activated receiving modules and the wireless signal receiving mode according to the number and working mode of the connected implanted transmitting modules, and the controller receives the wireless signals processed by the receiving module and obtains the original neuroelectrophysiological signals;

[0023] The method comprises:

[0024] Receive the number and working mode of the implanted transmitting modules connected;

[0025] Controlling a corresponding number of receiving modules to start according to the number of connected implanted transmitting modules and the working mode;

[0026] receiving the wireless signal processed by the receiving module;

[0027] An original neural electrophysiological signal is obtained according to the wireless signal.

[0028] As an optional solution, in the above-mentioned brain-computer interface signal processing method, when the number of the connected implanted transmitting modules is one or more; the number of the activated receiving modules is one or more;

[0029] Correspondingly, receiving the wireless signal processed by the receiving module includes:

[0030] Separate receiving ports are respectively provided for receiving the wireless signals sent by the receiving modules;

[0031] Correspondingly, obtaining the original neuroelectrophysiological signal according to the wireless signal includes:

[0032] The wireless signals sent by each receiving module are grouped according to the receiving time;

[0033] Determining whether the wireless signals in the same group are identical to each other;

[0034] If they are the same, the original neuroelectrophysiological signal is obtained by using the wireless signal received by more ports with the same signal according to the number of receiving ports;

[0035] If they are not the same, the original neuroelectrophysiological signal is obtained according to the wireless signal received by the port with the highest priority in the current group.

[0036] As an optional solution, in the above-mentioned brain-computer interface signal processing method, the starting of a corresponding number of receiving modules according to the number of connected implanted transmitting modules and the working mode control includes:

[0037] If the number of the connected implanted transmitting modules is one and the working mode is single input single output, then one of the receiving modules is controlled to start;

[0038] If the number of the connected implanted transmitting modules is one and the working mode is single-input multiple-output, then control the multiple receiving modules to start;

[0039] If the number of the connected implanted transmitting modules is multiple and the working mode is multi-input single output, one of the receiving modules is controlled to start;

[0040] If the number of the connected implanted transmitting modules is multiple and the working mode is multiple-input multiple-output, the multiple receiving modules are controlled to start.

[0041] The invasive brain-computer interface system provided herein includes: at least one implantable transmitter module, at least one receiver module, and a controller; wireless communication between the implantable transmitter module and the receiver module, wherein the implantable transmitter module is used to transmit wireless signals converted from neuroelectrophysiological signals to the receiver module, which receives and processes the wireless signals; a controller connected to the receiver module, controlling the number of receiver modules activated, and controlling the number of receiver modules activated and the wireless signal reception mode based on the number of implantable transmitter modules connected and the operating mode; the controller obtains the wireless signals processed by the receiver modules and obtains the original neuroelectrophysiological signals. When stable coverage of a large area is required to ensure stable signal quality and reliable data transmission, at least one receiver module can be selected to achieve full signal reception coverage. When a large number of neural signals need to be processed and a higher data transmission rate is required, multiple implantable transmitter modules can be connected, enabling more neural signals to be transmitted within limited spectrum resources, greatly improving data transmission efficiency and ensuring that neural signals from multiple channels can be transmitted efficiently and in parallel. The operating state of the receiver module is dynamically adjusted according to actual needs, optimizing resource utilization and improving signal processing efficiency.

[0042] In addition, the present application also provides a brain-computer interface signal processing method, which corresponds to the above-mentioned invasive brain-computer interface system and has the same effect as above. BRIEF DESCRIPTION OF THE DRAWINGS

[0043] In order to more clearly illustrate the embodiments of the present application, the following is a brief introduction to the drawings required for use in the embodiments. Obviously, the drawings described below are only some embodiments of the present application. For ordinary technicians in this field, other drawings can be obtained based on these drawings without any creative work.

[0044] Figure 1 A schematic diagram of an invasive brain-computer interface system provided in an embodiment of the present application;

[0045] Figure 2 A schematic diagram of a single-input single-output mode provided in an embodiment of the present application;

[0046] Figure 3 A schematic diagram of a single-input multiple-output mode provided in an embodiment of the present application;

[0047] Figure 4 A schematic diagram of a multi-input single-output mode provided in an embodiment of the present application;

[0048] Figure 5 A schematic diagram of a multi-input multi-output mode provided in an embodiment of the present application;

[0049] Figure 6 A schematic diagram of a receiving module provided in an embodiment of the present application;

[0050] Figure 7 A flowchart of a brain-computer interface signal processing method provided in an embodiment of the present application. DETAILED DESCRIPTION

[0051] The following will be combined with the accompanying drawings in the embodiments of this application to clearly and completely describe the technical solutions in the embodiments of this application. Obviously, the embodiments described are only part of the embodiments of this application, not all of them. Based on the embodiments in this application, all other embodiments obtained by ordinary technicians in this field without making creative efforts are within the scope of protection of this application.

[0052] The core of this application is to provide an invasive brain-computer interface system and a brain-computer interface signal processing method.

[0053] In order to enable those skilled in the art to better understand the present application, the present application is further described in detail below with reference to the accompanying drawings and specific implementation methods.

[0054] To solve the above problems, this embodiment provides an invasive brain-computer interface system. Figure 1 A schematic diagram of an invasive brain-computer interface system provided in an embodiment of the present application is shown in FIG. Figure 1 Shown, including:

[0055] At least one implantable transmitter module 11, at least one receiver module 12, and a controller 13; wireless communication between the implantable transmitter module 11 and the receiver module 12, the implantable transmitter module 11 is used to convert the neuroelectrophysiological signal into a wireless signal and send it to the receiver module 12, and the receiver module 12 receives and processes the wireless signal;

[0056] The controller 13 is connected to the receiving module 12. The controller 13 controls the number of starting receiving modules 12 and the wireless signal receiving mode according to the number and working mode of the connected implanted transmitting modules 11. The controller 13 obtains the wireless signal processed by the receiving module 12 and obtains the original neuroelectrophysiological signal.

[0057] The implantable transmitter module 11 is a device that converts neuroelectrophysiological signals into wireless signals for transmission. It is typically integrated with a headstage. Each headstage incorporates one transmitter module and one acquisition module, and each animal is implanted with only one headstage. The acquisition module in the headstage collects electrophysiological signals, converts them into digital signals, and transmits them to the implantable transmitter module. The implantable transmitter module then converts the digital signals into wireless signals for transmission.

[0058] The receiving module 12 is a device that receives and processes wireless signals from the implanted transmitting module 11. It can be a receiver equipped with an antenna and a signal processing module, used to capture and decode wireless signals. The receiving module 12 is ready to receive signals when in standby mode and processes them when active. Wireless communication technology is used to transmit wireless signals, which are converted into neuroelectrophysiological signals, between the implanted transmitting module 11 and the receiving module 12.

[0059] The controller 13 coordinates communication between the implanted transmitter modules 11 and the receiver modules 12. Specifically, it can be a computing device, such as a computer or a dedicated control unit, that processes data from the receiver modules 12 and issues control instructions. The controller 13 controls the number of active receiver modules 12 and their receiving modes based on the number and operating mode of the implanted transmitter modules 11. The number of active receiver modules 12 can be controlled by the controller itself, or by a staff member, who then identifies the number of active receiver modules 12.

[0060] Due to the use of wireless communication, the system can reduce the constraints of cables and improve the patient's comfort and freedom of movement. The specific design of the receiving module 12 can be adjusted according to different needs and scenarios and is not limited to a specific shape or size.

[0061] The invasive brain-computer interface system provided by the embodiment of the present application includes: at least one implanted transmitting module 11, at least one receiving module 12, and a controller 13; the implanted transmitting module 11 and the receiving module 12 communicate wirelessly, the implanted transmitting module 11 is used to send wireless signals converted from neuroelectrophysiological signals to the receiving module 12, and the receiving module 12 receives and processes the wireless signals; the controller 13 is connected to the receiving module 12, the controller 13 controls the number of receiving modules 12 started, and the controller 13 controls the number of receiving modules 12 started and the wireless signal receiving mode according to the number of implanted transmitting modules 11 connected and the working mode. The controller 13 obtains the wireless signals processed by the receiving module 12 and obtains the original neuroelectrophysiological signals. When providing stable coverage of a larger area to ensure stable signal quality and reliable data transmission, at least one receiving module 12 can be selected to achieve full signal reception coverage. When a large number of neural signals need to be processed and a higher data transmission rate is required, multiple implanted transmitting modules 11 can be connected, which can transmit more neural signals within limited spectrum resources, greatly improving data transmission efficiency and ensuring that neural signals of multiple channels can be transmitted efficiently in parallel. The working state of the receiving module 12 is dynamically adjusted according to actual needs, thereby optimizing resource usage and improving signal processing efficiency.

[0062] In a specific embodiment, the invasive brain-computer interface system has one access number of the implanted transmitter module 11;

[0063] The controller 13 controls to start a receiving module 12 and configures the wireless signal receiving mode of the receiving module 12 according to the signal frequency band of the currently started implanted transmitting module 11 .

[0064] An implantable transmitter module 11 is responsible for converting the neurophysiological signals collected by the headstage's acquisition module into wireless signals. It may include a headstage with integrated electrodes and amplifiers for collecting and amplifying neural signals, and a wireless transmitter module for sending the signals to the receiving module 12.

[0065] There are multiple receiving modules 12, but the controller 13 only activates one to receive and process the wireless signal from the implanted transmitting module 11. The activated receiving module 12 includes a plug-in front-end module, which includes an antenna for receiving signals and a signal processing unit for processing signals.

[0066] The current system configuration is single-input single-output (SISO). In this mode, the system structure is the simplest and the receiving device power consumption is the lowest, but the signal quality and anti-interference ability are relatively limited. It is suitable for fixed acute brain-computer interface experiments or neuroelectrophysiological signal acquisition scenarios. During the experiment, the transmitter is fixed and the receiver does not change after establishing a suitable receiving path.

[0067] Figure 2 This is a schematic diagram of a single-input single-output mode provided in an embodiment of the present application, such as Figure 2 As shown, the transmitter is equipped with a single headstage, the receiver is connected to a single receiving module, and the system is configured in SISO mode, which is suitable for fixed acute brain-computer interface experiments or neural electrophysiological signal acquisition scenarios.

[0068] In a specific solution, the number of accesses of the implanted transmitting module 11 is one;

[0069] The controller 13 controls the activation of multiple receiving modules 12 and dynamically adjusts the wireless signal receiving modes and gains of the multiple receiving modules 12 through a receiving diversity configuration scheme according to the signal frequency band and spatial position of the currently activated implanted transmitting module 11.

[0070] Figure 3 This is a schematic diagram of a single-input multiple-output mode provided in an embodiment of the present application, such as Figure 3 As shown, at least one receiving module on the receiving end receives the same signal through different paths, improving the spatial coverage, anti-interference capability, and stability of signal reception. This mode is suitable for collecting neuroelectrophysiological signals from a single animal moving freely within a large space. During the experiment, the experimental animal is in a free-range state and can move freely within a large experimental area. A single receiving antenna cannot fully cover the entire area. In this mode, a combination of multiple antennas achieves complete coverage of the area, ensuring continuous and accurate collection of the experimental subject's neural signals throughout the experiment.

[0071] The receive diversity technology improves the spatial coverage, anti-interference capability and stability of signal reception, making it suitable for collecting neuroelectrophysiological signals from a single animal moving freely in a large space.

[0072] In a specific solution, the number of accesses of the implanted transmitting module 11 is multiple;

[0073] The controller 13 controls the activation of a receiving module 12 and dynamically adjusts the wireless signal receiving mode and gain of the receiving module 12 through a transmit diversity configuration scheme according to the signal frequency bands and spatial positions of the multiple implanted transmitting modules 11 currently activated.

[0074] Figure 4 This is a schematic diagram of a multi-input single-output mode provided in an embodiment of the present application, such as Figure 4 As shown, this embodiment is suitable for scenarios where multiple animals are simultaneously collecting neuroelectrophysiological signals in a fixed state. By using the same antenna for frequency division multiplexing (FDM) at different frequencies, the neural signal collection of multiple experimental subjects is complete and stable under a fixed communication path. The collection environment is easy to set up and the signal is stable during the experiment.

[0075] Utilizing transmit diversity to optimize system transmission performance also effectively improves signal reception's spatial coverage, anti-interference capabilities, and stability, while also reducing power consumption at the receiving end. Frequency division multiplexing technology allows a single receiving antenna to correspond to multiple transmitting ends, expanding the number of animals that can be simultaneously tested. This is suitable for simultaneous neuroelectrophysiological signal acquisition from multiple animals in a fixed state.

[0076] In a specific solution, the number of accesses of the implanted transmitting module 11 is multiple;

[0077] The controller 13 controls the activation of multiple receiving modules 12, and dynamically adjusts the wireless signal receiving modes and gains of the multiple receiving modules 12 through spatial diversity configuration schemes and spatial multiplexing configuration schemes according to the signal frequency bands and spatial positions of the multiple implanted transmitting modules 11 currently activated.

[0078] Figure 5 This is a schematic diagram of a multi-input multi-output mode provided in an embodiment of the present application, such as Figure 5 As shown, this embodiment utilizes a combination of the number of antennas at the transmitting end and the number of modules at the receiving end to form spatial diversity, i.e., spatial diversity. The MIMO mode can effectively reduce signal fading and multipath interference during propagation. It utilizes spatial multiplexing, which increases system capacity by transmitting multiple independent signal streams simultaneously on the same spectrum, as well as frequency division multiplexing (FDM) of antennas at different frequencies. The MIMO mode can significantly improve data transmission efficiency. This solution is suitable for scenarios where multiple animals can move within a small range to collect neuroelectrophysiological signals. By using multiple antennas to synchronously receive data from multiple high-speed neural signal recording devices in the same environment, data collection for multi-animal brain-computer interface experiments such as social interaction can be achieved.

[0079] The use of spatial diversity and spatial multiplexing technologies significantly improves the system's frequency band coverage, data transmission rate, and signal reliability. Each receiving antenna corresponds to a transmitting terminal, expanding the number of animals that can be simultaneously tested. This makes it suitable for collecting neuroelectrophysiological signals from multiple animals within a small area.

[0080] In a specific embodiment, the multiple receiving modules 12 include a base plate 21, multiple pluggable front-end modules 22, and an antenna 23;

[0081] The magnetic connector at the bottom of the pluggable front-end module 22 is connected to the base plate 21 to output low-frequency signals and is connected to the power supply to output low-frequency signals;

[0082] The SMA interface of the pluggable front-end module 22 is connected to the antenna 23 .

[0083] like Figure 6 As shown, the base plate serves as the central structure of the receiving module 12. The base plate provides a platform for connection and transmission. The base plate is designed to fix the plug-in front-end module and provide interfaces for power supply and data transmission. The plug-in front-end module is used to receive wireless signals from the implanted transmitting module 11 and convert them into low-frequency signal output. Each front-end receiving module contains electronic components for signal reception and processing, as well as interfaces for connecting to the antenna and base plate. Through the connection with the base plate through a magnetic connector, the receiving module can be easily connected to the power supply, simplifying power management.

[0084] The antenna receives wireless signals from the implanted transmitter module 11, captures them, and transmits them to the pluggable front-end module. The wireless device (SubMiniature version A, SMA) interface provides a stable signal transmission path, ensuring stability and reliability during transmission.

[0085] In one specific embodiment, in the invasive brain-computer interface system, the controller 13 is a field programmable gate array;

[0086] The field programmable gate array is arranged on the baseboard, and the field programmable gate array outputs signals through a high-definition multimedia interface or a universal serial bus interface.

[0087] A field programmable gate array (FPGA) is an integrated circuit made of semiconductor materials that can be purchased and reprogrammed or configured by the user to meet specific functional or application requirements.

[0088] High-Definition Multimedia Interface (HDMI) is a fully digital video and sound transmission interface that can send uncompressed audio and video signals and is suitable for data transmission in invasive brain-computer interface systems.

[0089] The universal serial bus (USB) interface is used for data transmission and power supply and is suitable for data output of invasive brain-computer interface systems.

[0090] The present application also provides a brain-computer interface signal processing method, which is applied to an invasive brain-computer interface system, including at least one implanted transmitting module 11, at least one receiving module 12, and a controller 13; the implanted transmitting module 11 and the receiving module 12 communicate wirelessly, the implanted transmitting module 11 is used to send wireless signals converted from neuroelectrophysiological signals to the receiving module 12, and the receiving module 12 receives and processes the wireless signals; the controller 13 is connected to the receiving module 12, and the controller 13 controls the number of activated receiving modules 12. The controller 13 controls the number of activated receiving modules 12 and the wireless signal receiving mode according to the number and working mode of the connected implanted transmitting modules 11, and the controller 13 obtains the original neuroelectrophysiological signals based on the wireless signals processed by the receiving module 12;

[0091] like Figure 7 As shown, the method includes:

[0092] S11: Receive the number and working mode of the connected implanted transmitting modules 11;

[0093] S12: according to the number of connected implanted transmitting modules 11 and the working mode, the corresponding number of receiving modules 12 are controlled to start;

[0094] S13: Acquire the wireless signal processed by the receiving module 12;

[0095] S14: Obtaining original neuroelectrophysiological signals based on the wireless signals.

[0096] The number and working mode of the implanted transmitting modules 11 refer to the total number of implanted transmitting modules 11 to be used in the system and the mode in which they will operate, such as single-input single-output (SISO), single-input multiple-output (SIMO), multiple-input single-output (MISO), and multiple-input multiple-output (MIMO).

[0097] In this step, the controller 13 identifies and records the number of implanted transmitting modules 11 connected to the current system and their configured working modes through query or detection operations.

[0098] Logic and control signals within controller 13 ensure communication between receiving module 12 and implanted transmitter module 11. Receiver module 12 can be activated via software triggering or hardware automatic detection. In the art, software interfaces are typically used for manual configuration or automatic detection of implanted transmitter modules 11 and activation of the appropriate number of receiving modules 12.

[0099] The controller 13 receives the preliminarily processed wireless signal from the activated receiving module 12, decodes and converts the received wireless signal, and obtains the raw neuroelectrophysiological signal for analysis. Signal processing algorithms and decoding techniques include filtering, amplification, and analog-to-digital conversion. Filters are used to remove noise, analog signals are converted to digital signals using analog-to-digital converters, and specific algorithms are used to extract neuroelectrophysiological signals.

[0100] In a specific embodiment, the above-mentioned brain-computer interface signal processing method, when the number of connected implanted transmitting modules is one or more; the number of activated receiving modules is one or more;

[0101] Correspondingly, the wireless signal processed by the receiving module is received, including:

[0102] Separate receiving ports are respectively provided for receiving wireless signals sent by the receiving modules;

[0103] Correspondingly, the original neuroelectrophysiological signals are obtained based on the wireless signals, including:

[0104] The wireless signals sent by each receiving module are grouped according to the receiving time;

[0105] Determine whether there is an identical wireless signal in the same wireless signal group;

[0106] If they are the same, the original neuroelectrophysiological signal is obtained based on the number of receiving ports in the same wireless signal, and the wireless signal received by the port with more identical signals is used;

[0107] If they are not the same, the original neuroelectrophysiological signal is obtained according to the wireless signal received by the port with the highest priority in the current group.

[0108] Grouping refers to grouping signals received at the same time point or time window into a group for comparison and processing. Judgment refers to comparing signals within the same group to determine whether they represent the same neurophysiological activity.

[0109] The port with the highest priority refers to the IO port with the highest preset priority in the receiving module 12. For example, the current controller has eight receiving ports IO1-IO8, with priorities from high to low. Each port may receive signals sent by multiple transmitting modules. It is determined whether there are identical wireless signals in the same group. If they are identical, for example, the wireless signals received by the three ports IO2, IO5, and IO9 are the same, then the wireless signal of the IO2 port is selected for analysis to obtain the original neuroelectrophysiological signal. In addition, there is also a possibility that there are multiple groups of identical wireless signals, and the group with the larger number is selected. For example, the wireless signals of the IO1 and IO5 ports are the same, and the wireless signals of the IO2, IO4, and IO6 ports are the same, then the wireless signal of the IO2 port with the highest priority in the second group is selected for analysis to obtain the original neuroelectrophysiological signal. If they are completely different, the most reliable signal is selected as the final output, thereby improving the accuracy and reliability of signal processing.

[0110] In a specific embodiment, according to the number of connected implanted transmitting modules 11 and the working mode, the corresponding number of receiving modules 12 are controlled to start, including:

[0111] If the number of connected implanted transmitting modules 11 is one and the working mode is single input single output, then one receiving module 12 is controlled to start;

[0112] If the number of connected implanted transmitting modules 11 is one and the working mode is single-input multiple-output, multiple receiving modules 12 are controlled to start;

[0113] If the number of connected implanted transmitting modules 11 is more than one and the working mode is multi-input single output, then one receiving module 12 is controlled to start;

[0114] If the number of connected implanted transmitting modules 11 is multiple and the working mode is multi-input multi-output, multiple receiving modules 12 are controlled to start.

[0115] If the number of connected implanted transmitter modules 11 is one and the working mode is SISO, then one receiving module 12 is controlled to start. In this configuration, one implanted transmitter module 11 corresponds to one receiving module 12, which simplifies the system configuration and reduces complexity.

[0116] If the number of connected implanted transmitter modules 11 is one and the working mode is SIMO, at least one receiving module 12 is controlled to start. In this mode, one implanted transmitter module 11 corresponds to at least one receiving module 12, which increases signal redundancy and reliability.

[0117] If there are multiple implanted transmitter modules 11 connected and the working mode is MISO, one receiving module 12 is controlled to start. In this configuration, multiple implanted transmitter modules 11 correspond to one receiving module 12, which is suitable for scenarios where centralized signal processing is required.

[0118] If there are multiple implanted transmitter modules 11 connected and the working mode is MIMO, at least one receiving module 12 is controlled to start. In this mode, multiple implanted transmitter modules 11 correspond to at least one receiving module 12, providing high flexibility and signal processing capabilities.

[0119] The above is a detailed introduction to the invasive brain-computer interface system and brain-computer interface signal processing method provided by the present application. The various embodiments in the specification are described in a progressive manner, and each embodiment focuses on the differences from other embodiments. The same and similar parts between the embodiments can be referred to each other. For the device disclosed in the embodiment, since it corresponds to the method disclosed in the embodiment, the description is relatively simple, and the relevant parts can be referred to the method part description. It should be pointed out that for ordinary technicians in this technical field, without departing from the principles of this application, several improvements and modifications can be made to the present application, and these improvements and modifications also fall within the scope of protection of the claims of this application.

[0120] It should also be noted that, in this specification, relational terms such as first and second, etc., are used only to distinguish one entity or operation from another entity or operation, and do not necessarily require or imply any such actual relationship or order between these entities or operations. Moreover, the terms "comprises," "comprising," or any other variants thereof are intended to cover non-exclusive inclusion, such that a process, method, article, or apparatus comprising a series of elements includes not only those elements, but also other elements not explicitly listed, or elements inherent to such process, method, article, or apparatus. In the absence of further limitations, an element defined by the phrase "comprising a ..." does not exclude the presence of additional identical elements in the process, method, article, or apparatus comprising the element.

Claims

1. An invasive brain-computer interface system, characterized in that: include: at least one implantable transmitter module, at least one receiver module, and a controller; The implantable transmitting module and the receiving module communicate wirelessly, the implantable transmitting module is implanted subcutaneously to convert the neuroelectrophysiological signal into a wireless signal and send it to the receiving module, and the receiving module receives and processes the wireless signal; The controller is connected to the receiving module; The controller controls the number of activated receiving modules and the wireless signal receiving mode according to the number and working mode of the connected implanted transmitting modules. The controller receives the wireless signal processed by the receiving module and obtains the original neuroelectrophysiological signal.

2. The invasive brain-computer interface system according to claim 1, characterized in that: The number of accesses of the implanted transmitting module is one; The controller controls to start one of the receiving modules and configures the wireless signal receiving mode of the receiving module according to the signal frequency band of the currently started implanted transmitting module.

3. The invasive brain-computer interface system according to claim 1, characterized in that The number of accesses of the implanted transmitting module is one; The controller controls the activation of the plurality of receiving modules and dynamically adjusts the wireless signal receiving modes and gains of the plurality of receiving modules through a receiving diversity configuration scheme according to the signal frequency band and spatial position of the currently activated implanted transmitting module.

4. The invasive brain-computer interface system according to claim 1, characterized in that The number of accesses of the implanted transmitting module is multiple; The controller controls the activation of one of the receiving modules and dynamically adjusts the wireless signal receiving mode and gain of the receiving module through a transmit diversity configuration scheme according to the signal frequency bands and spatial positions of the multiple implanted transmitting modules currently activated.

5. The invasive brain-computer interface system according to claim 1, characterized in that: The number of accesses of the implanted transmitting module is multiple; The controller controls the activation of multiple receiving modules and dynamically adjusts the wireless signal receiving modes and gains of the multiple receiving modules through a spatial diversity configuration scheme and a spatial multiplexing configuration scheme according to the signal frequency bands and spatial positions of the multiple implanted transmitting modules currently activated.

6. The invasive brain-computer interface system according to any one of claims 1 to 5, characterized in that: The plurality of receiving modules include a base plate, a plurality of pluggable front-end modules, and an antenna; The magnetic connector at the bottom of the pluggable front-end module is connected to the base plate to output a low-frequency signal and is connected to a power supply to output a low-frequency signal; The SMA interface of the pluggable front-end module is connected to the antenna.

7. The invasive brain-computer interface system according to claim 6, characterized in that: The controller is a field programmable gate array; The field programmable gate array is arranged on the baseboard, and the field programmable gate array outputs signals through a high-definition multimedia interface or a universal serial bus interface.

8. A brain-computer interface signal processing method, characterized in that: The invention is applied to an invasive brain-computer interface system, comprising at least one implantable transmitting module, at least one receiving module, and a controller; the implantable transmitting module and the receiving module communicate wirelessly, the implantable transmitting module is used to convert a neuroelectrophysiological signal into a wireless signal and send it to the receiving module, and the receiving module receives and processes the wireless signal; the controller is connected to the receiving module, and the controller controls the number of activated receiving modules. The controller controls the number of activated receiving modules and the wireless signal receiving mode according to the number and working mode of the connected implantable transmitting modules, and the controller receives the wireless signal processed by the receiving module and obtains the original neuroelectrophysiological signal; The method comprises: Receive the number and working mode of the implanted transmitting modules connected; Controlling a corresponding number of receiving modules to start according to the number of connected implanted transmitting modules and the working mode; receiving the wireless signal processed by the receiving module; An original neural electrophysiological signal is obtained according to the wireless signal.

9. The brain-computer interface signal processing method according to claim 8, characterized in that: When the number of the connected implanted transmitting modules is one or more; the number of the activated receiving modules is one or more; Correspondingly, receiving the wireless signal processed by the receiving module includes: Separate receiving ports are respectively provided for receiving the wireless signals sent by the receiving modules; Correspondingly, obtaining the original neuroelectrophysiological signal according to the wireless signal includes: The wireless signals sent by each receiving module are grouped according to the receiving time; Determining whether the wireless signals in the same group are identical to each other; If they are the same, the original neuroelectrophysiological signal is obtained by using the wireless signal received by more ports with the same signal according to the number of receiving ports; If they are not the same, the original neuroelectrophysiological signal is obtained according to the wireless signal received by the port with the highest priority in the current group.

10. The brain-computer interface signal processing method according to claim 8, characterized in that: The starting of the corresponding number of receiving modules according to the number of the connected implanted transmitting modules and the working mode includes: If the number of the connected implanted transmitting modules is one and the working mode is single input single output, then one of the receiving modules is controlled to start; If the number of the connected implanted transmitting modules is one and the working mode is single-input multiple-output, then control the multiple receiving modules to start; If the number of the connected implanted transmitting modules is multiple and the working mode is multi-input single output, one of the receiving modules is controlled to start; If the number of the connected implanted transmitting modules is multiple and the working mode is multiple-input multiple-output, the multiple receiving modules are controlled to start.

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