Invasive brain-computer interface system and brain-computer interface signal processing method
By introducing a controller that dynamically adjusts the status of the receiving module in the brain-computer interface system, the problem of lack of universal applicability in the existing system is solved, stable coverage and efficient transmission of signals are achieved, and it is suitable for neural electrophysiological signal acquisition in various scenarios.
Patent Information
- Application Number
- CN202411984573.2
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2024-12-31
- Publication Date
- 2025-04-08
- Estimated Expiration
- Not applicable · inactive patent
AI Technical Summary
The existing brain-computer interface systems lack universal applicability and cannot effectively achieve stable coverage and efficient transmission of signals in different scenarios and requirements.
An invasive brain-computer interface system is provided, including an implanted transmitting module, a receiving module and a controller, which converts and processes neural electrophysiological signals through wireless communication. The controller dynamically adjusts the number of start-ups of the receiving modules and the working mode of the wireless signal reception mode according to the number of implanted transmitting modules and the operating mode.
It realizes stable coverage and efficient transmission of signals in different scenarios, improves data transmission efficiency and signal processing flexibility, and is suitable for neuroelectrophysiological signal acquisition from multiple animals within a small range to single animals within a large range.
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Figure CN119781622A_ABST
Abstract
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 is a technology that enables direct communication between the brain and external devices. As an important tool for studying the structure and function of the brain, BCI technology has become one of the strategic heights of scientific and technological competition among countries around the world. Since the proposal of BCI technology, with the deepening of neuroscience research and the advancement of hardware technology, BCI technology has gradually evolved from non-invasive to invasive, from low-throughput to high-throughput, and from wired connection to wireless connection.
[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. 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] In order 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 with each other 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 start-up 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 implanted transmitting 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 implanted transmitting 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 base plate, a plurality of plug-in front-end modules, and an antenna;
[0018] The magnetic connector at the bottom of the pluggable front-end module is connected to the bottom 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 base board, and the field programmable gate array outputs signals through a high-definition multimedia interface or a universal serial bus interface.
[0022] In order 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, including 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 a wireless signal converted from a neural electrophysiological signal 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, the controller controls the number of activated receiving modules and the wireless signal receiving mode according to the number of connected implanted transmitting modules and the working mode, and the controller receives the wireless signal processed by the receiving module and obtains the original neural electrophysiological signal;
[0023] The method comprises:
[0024] Receive the number and working mode of the implanted transmitting modules that are accessed;
[0025] Controlling the corresponding number of receiving modules to start according to the number of the 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 neural electrophysiological signal according to the wireless signal includes:
[0032] The wireless signals sent by each receiving module are grouped according to the receiving time;
[0033] Determine 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 in the same wireless signal;
[0035] If they are not the same, the original neural electrophysiological 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 the corresponding number of receiving modules according to the number of the 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 implanted transmitting modules connected is multiple and the working mode is multiple-input single-output, one of the receiving modules is controlled to start;
[0040] If the number of the implanted transmitting modules connected 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 by the present application includes: at least one implanted transmitting module, at least one receiving module, and a controller; wireless communication between the implanted transmitting module and the receiving module, the implanted transmitting module is used to send the wireless signal converted from the neural electrophysiological signal 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 starting the receiving module, the controller controls the number of starting the receiving module and the wireless signal receiving mode according to the number of implanted transmitting modules connected and the working mode, and the controller obtains the wireless signal processed by the receiving module and obtains the original neural electrophysiological signal. When a large area needs to be stably covered to ensure the stability of the signal quality and the reliable transmission of data, at least one receiving module can be selected to achieve full reception coverage of the signal. When a large number of neural signals need to be processed and a higher data transmission rate is required, multiple implanted transmitting modules can be connected, which can transmit more neural signals within limited spectrum resources, greatly improving the data transmission efficiency and ensuring that neural signals of multiple channels can be efficiently transmitted in parallel. The working state of the receiving module is dynamically adjusted according to actual needs, optimizing the use of resources and improving the efficiency of signal processing.
[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 paying 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 drawings in the embodiments of the present application to clearly and completely describe the technical solutions in the embodiments of the present application. Obviously, the described embodiments are only part of the embodiments of the present application, not all of the embodiments. Based on the embodiments in the present application, all other embodiments obtained by ordinary technicians in this field without creative work 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 in conjunction with 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 As shown, including:
[0055] At least one implanted transmitting module 11, at least one receiving module 12, and a controller 13; wireless communication between the implanted transmitting module 11 and the receiving module 12, the implanted transmitting module 11 is used to send the wireless signal converted from the neuroelectrophysiological signal to the receiving module 12, and the receiving 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 start-up 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 implanted transmitter module 11 refers to a device that converts neural electrophysiological signals into wireless signals and transmits them. Usually, the implanted transmitter module is integrated on a headstage. One headstage is integrated with one transmitter module and one acquisition module. Only one headstage is implanted in one animal. The acquisition module of the headstage acquires electrophysiological signals and converts them into digital signals and sends them to the implanted transmitter module. The implanted transmitter module converts the digital signals into wireless signals and transmits them.
[0058] The receiving module 12 refers to 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 for capturing and decoding wireless signals. The receiving module 12 is ready to receive signals when in a standby state and processes signals when in an activated state. The wireless signal converted from the neuroelectrophysiological signal is transmitted between the implanted transmitting module 11 and the receiving module 12 through wireless communication technology.
[0059] The controller 13 is responsible for coordinating the communication between the implanted transmitting module 11 and the receiving module 12. Specifically, it can be a computing device, such as a computer or a dedicated control unit, for processing the data of the receiving module 12 and issuing control instructions. The controller 13 controls the number of activated receiving modules 12 and the receiving mode according to the number and working mode of the implanted transmitting modules 11. The number of activated receiving modules 12 can be controlled by the controller, or the number of accesses can be controlled by the staff, and the controller identifies the number of accesses.
[0060] Due to the use of wireless communication, the system can reduce the constraints of cables and improve the comfort and freedom of movement of patients. 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; wireless communication between the implanted transmitting module 11 and the receiving module 12, the implanted transmitting module 11 is used to send the wireless signal converted from the neural electrophysiological signal to the receiving module 12, and the receiving module 12 receives and processes the wireless signal; the controller 13 is connected to the receiving module 12, the controller 13 controls the number of activations of the receiving module 12, the controller 13 controls the number of activations of the receiving module 12 and the wireless signal receiving mode according to the number of implanted transmitting modules 11 connected and the working mode, and the controller 13 obtains the wireless signal processed by the receiving module 12 and obtains the original neural electrophysiological signal. When a large area is stably covered to ensure the stability of the signal quality and the reliable transmission of data, at least one receiving module 12 can be selected to achieve full reception coverage of the signal. 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 the data transmission efficiency and ensuring that neural signals of multiple channels can be efficiently transmitted in parallel. The working state of the receiving module 12 is dynamically adjusted according to actual needs, thereby optimizing the use of resources and improving the efficiency of signal processing.
[0062] In a specific embodiment, in the invasive brain-computer interface system, the number of accesses of the implanted transmitting module 11 is one;
[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 transmitting module 11 is responsible for converting the neurophysiological signals collected by the collecting module of the headstage into wireless signals. It may include a headstage that integrates electrodes and amplifiers for collecting and amplifying neural signals, and a wireless transmitting module for sending 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 is configured as single-input single-output (SISO). In this mode, the system structure is the simplest and the receiving device has the lowest power consumption, 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 will not change after establishing a suitable receiving path.
[0067] Figure 2 A schematic diagram of a single-input single-output mode provided in an embodiment of the present application is shown in FIG. Figure 2 As shown, the transmitter is equipped with a single headstage, the receiving device 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 A schematic diagram of a single-input multiple-output mode provided in an embodiment of the present application is shown in FIG. Figure 3 As shown, at least one receiving module at the receiving end receives the same signal through different paths, which improves the spatial coverage, anti-interference ability and stability of signal reception. This mode is suitable for the neurophysiological signal acquisition scenario of a single animal moving freely in a large space. During the experiment, the experimental animal is in a free-moving state and can move freely in a large experimental area. One receiving antenna cannot fully cover the entire area. In this mode, through the combination of multiple antennas, complete coverage of the area is achieved, ensuring continuous and accurate acquisition 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 of 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 A schematic diagram of a multi-input single-output mode provided in an embodiment of the present application is shown in FIG. Figure 4 As shown, this embodiment is suitable for the scenario of simultaneous neuroelectrophysiological signal collection of multiple animals in a fixed state. Through frequency division multiplexing (FDM) of the same antenna 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] Using transmit diversity to optimize system transmission performance can also effectively improve the spatial coverage, anti-interference ability and stability of signal reception, and reduce the power consumption of the receiving end. Through frequency division multiplexing technology, one receiving antenna corresponds to multiple transmitting ends, expanding the number of animals that can be simultaneously experimented, which is suitable for the scene of simultaneous neuroelectrophysiological signal collection of 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 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 11 currently activated.
[0078] Figure 5 A schematic diagram of a multi-input multi-output mode provided in an embodiment of the present application is shown in FIG. Figure 5 As shown, this embodiment uses the 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 the fading and multipath interference of signals during propagation. It uses the simultaneous transmission of multiple independent signal streams on the same spectrum to increase system capacity, i.e., spatial multiplexing, and frequency division multiplexing FDM of antennas at different frequencies. The MIMO mode can significantly improve data transmission efficiency. This solution is suitable for the collection of neuroelectrophysiological signals of multiple animals that can move in a small range. 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 realized.
[0079] The use of spatial diversity and spatial multiplexing technology has greatly improved the system's frequency band coverage, data transmission rate and signal reliability. Each receiving antenna corresponds to a transmitting end, which expands the number of animals that can be simultaneously tested and is suitable for the collection of neuroelectrophysiological signals of multiple animals that can move in a small range.
[0080] In a specific solution, the multiple receiving modules 12 include a base plate 21, multiple plug-in front-end modules 22, and an antenna 23;
[0081] The magnetic connector at the bottom of the plug-in front-end module 22 is connected to the bottom 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 pluggable front-end module and provide interfaces for power supply and data transmission. The pluggable front-end module is used to receive wireless signals from the implanted transmitting module 11 and convert them into low-frequency signals for output. Each front-end receiving module contains electronic components for signal reception and processing, as well as interfaces for connecting to the antenna and the base plate. Through the connection between the magnetic connector and the base plate, the receiving module can be easily connected to the power supply, simplifying power management.
[0084] The antenna is used to receive the wireless signal sent by the implanted transmitting module 11, capture the wireless signal and transmit it to the plug-in front-end module. The wireless device instrument (SubMiniature version A, SMA) interface provides a stable signal transmission path to ensure the stability and reliability of the signal during the transmission process.
[0085] In a 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 bottom board, 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 the wireless signal converted from the neuroelectrophysiological signal to the receiving module 12, and the receiving module 12 receives and processes the wireless signal; the controller 13 is connected to the receiving module 12, the controller 13 controls the number of starting receiving modules 12, the controller 13 controls the number of starting receiving modules 12 and the wireless signal receiving mode according to the number of connected implanted transmitting modules 11 and the working mode, and the controller 13 obtains the original neuroelectrophysiological signal according to the wireless signal processed by the receiving module 12;
[0091] like Figure 7 As shown, the method includes:
[0092] S11: receiving the number and working mode of the implanted transmitting modules 11 connected;
[0093] S12: starting a corresponding number of receiving modules 12 according to the number of connected implanted transmitting modules 11 and the working mode;
[0094] S13: Acquire the wireless signal processed by the receiving module 12;
[0095] S14: obtaining original neural electrophysiological signals according to 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 work, 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] The logic judgment and control signal implementation inside the controller 13 ensure the communication matching between the receiving module 12 and the implanted transmitting module 11. The specific startup mode of the receiving module 12 can be software triggering or hardware automatic detection. In this field, a software interface is usually used for manual configuration or automatic detection of the access of the implanted transmitting module 11 and startup of the corresponding 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 original neural electrophysiological signal that can be used for analysis. The signal processing algorithm and decoding technology include, for example, filtering, amplification, analog-to-digital conversion, etc. A filter is used to remove noise, an analog-to-digital converter is used to convert an analog signal into a digital signal, and a specific algorithm is used to extract the neural electrophysiological signal.
[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, receiving the wireless signal processed by the receiving module includes:
[0102] Separate receiving ports are respectively provided for receiving wireless signals sent by the receiving modules;
[0103] Correspondingly, the original neural electrophysiological signals are obtained according to 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 by using the wireless signals received by more ports with the same signal according to the number of receiving ports in the same wireless signal;
[0107] If they are not the same, the original neural electrophysiological 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 the signals received at the same time point or time window into one group for comparison and processing. Judgment refers to comparing the signals in the same group to determine whether they represent the same neural electrophysiological activity.
[0109] The port with the highest priority refers to the IO port with the highest priority preset in the receiving module 12. For example, the current controller has eight receiving ports IO1-IO8, with priorities from high to low, and each port may receive signals sent by multiple transmitting modules; determine 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, then a group with a larger number is selected, for example, the wireless signals of the IO1 and IO5 ports are the same, and the wireless signals of IO2, IO4, and IO6 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, then multiple receiving modules 12 are controlled to start;
[0113] If the number of connected implanted transmitting modules 11 is multiple 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 transmitting modules 11 is one and the working mode is SISO, then one receiving module 12 is controlled to start. In this configuration, one implanted transmitting module 11 corresponds to one receiving module 12, which simplifies the system configuration and reduces the complexity.
[0116] If the number of connected implanted transmitting 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 transmitting module 11 corresponds to at least one receiving module 12, which increases signal redundancy and reliability.
[0117] If there are multiple implanted transmitting modules 11 connected and the working mode is MISO, one receiving module 12 is controlled to start. In this configuration, multiple implanted transmitting modules 11 correspond to one receiving module 12, which is suitable for scenes requiring centralized signal processing.
[0118] If there are multiple implanted transmitting modules 11 connected and the working mode is MIMO, at least one receiving module 12 is controlled to start. In this mode, multiple implanted transmitting modules 11 correspond to at least one receiving module 12, providing high flexibility and signal processing capabilities.
[0119] The invasive brain-computer interface system and brain-computer interface signal processing method provided by the present application are introduced in detail above. 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 refer 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 refer 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 only used 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 "comprise", "include" or any other variants thereof are intended to cover non-exclusive inclusion, so that a process, method, article or device including a series of elements includes not only those elements, but also other elements not explicitly listed, or also includes elements inherent to such process, method, article or device. In the absence of further restrictions, an element defined by the statement "comprises a ..." does not exclude the presence of other identical elements in the process, method, article or device including the element.
Claims
1. An invasive brain-computer interface system, characterized in that: include: 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; 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 neural electrophysiological 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 plug-in front-end modules, and an antenna; The magnetic connector at the bottom of the pluggable front-end module is connected to the bottom 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 base plate, 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 implanted transmitting module, at least one receiving module, and a controller; the implanted transmitting module communicates wirelessly with the receiving module, the implanted transmitting module is used to send wireless signals converted from neural electrophysiological 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 of connected implanted transmitting modules and the working mode, and the controller receives the wireless signals processed by the receiving module and obtains the original neural electrophysiological signals; The method comprises: Receive the number and working mode of the implanted transmitting modules that are accessed; Controlling the corresponding number of receiving modules to start according to the number of the 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 neural electrophysiological signal according to the wireless signal includes: The wireless signals sent by each receiving module are grouped according to the receiving time; Determine 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 in the same wireless signal; If they are not the same, the original neural electrophysiological 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 control 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 implanted transmitting modules connected is multiple and the working mode is multiple-input single-output, one of the receiving modules is controlled to start; If the number of the implanted transmitting modules connected is multiple and the working mode is multiple-input multiple-output, the multiple receiving modules are controlled to start.