A biological neural signal acquisition device, method, equipment and storage medium

Abstract

The application discloses a biological neural signal acquisition device, method, equipment and storage medium, and relates to the technical field of neural signal acquisition, and comprises the following: an electrode interface, which is used for acquiring current neural electrical signals of a target organism during a biological behavior experiment; a signal processing component, which is used for processing the current neural electrical signals to obtain target digital signals; a wireless signal receiving component, which is used for acquiring target wireless signals triggered and sent by a preset wireless signal triggering component, decoding the target wireless signals, and determining a target biological behavior event type of the current neural electrical signals based on a decoding result; a controller, a target memory and a power supply component; the controller is used for generating target event marker data based on the target biological behavior event type and a current timestamp, and sending the current neural electrical signals, the target digital signals and the target event marker data to the target memory for associated storage. The application can provide a stable and reliable time synchronization and event marking mechanism.

Description

Technical Field

[0001] This invention relates to the field of neural signal acquisition technology, and in particular to a biological neural signal acquisition device, method, equipment, and storage medium. Background Technology

[0002] Brain-computer interface (BCI) technology establishes a direct communication pathway between the brain and external devices by analyzing brain neural activity, serving as a core support for brain science research and human-computer interaction innovation. Invasive BCIs can capture single-cell firing activity and acquire high-resolution neural signals, and have become the mainstream development direction in the field. In invasive BCI systems, the weak neural signals acquired by the head-mounted amplifier need to be conditioned, converted, and stored by a dedicated acquisition device to support subsequent neural coding and behavioral analysis.

[0003] Current neural signal acquisition devices have significant limitations in practical applications. Most devices rely on cables to connect to a host computer for power supply and data transmission. In typical animal experiments such as mouse open field exploration and free movement, cables significantly restrict the range of motion of the subjects. Furthermore, structures like gimbals are needed to prevent cable tangling, increasing experimental complexity, interfering with the animals' natural behavior, and reducing the ecological validity of the data. Simultaneously, in multi-device synchronous acquisition scenarios, each device relies on its own independent clock. Clock deviations accumulate over time, causing neural signals acquired by different devices to shift on the timeline. This makes it difficult to accurately align with behavioral videos and external stimuli data, severely impacting the reliability of synchronous analysis results.

[0004] In summary, how to achieve offline storage while simultaneously acquiring neural signals, and provide a stable and reliable time synchronization and event marking mechanism, are currently pressing technical problems that need to be solved. Summary of the Invention

[0005] In view of this, the purpose of this invention is to provide a biological neural signal acquisition device, method, apparatus, and storage medium that can simultaneously acquire neural signals and perform offline storage, while providing a stable and reliable time synchronization and event marking mechanism. The specific solution is as follows: In a first aspect, this application provides a biological neural signal acquisition device, comprising: An electrode interface is connected to an implantable electrode of the target organism for collecting the current neural electrical signals of the target organism during biological behavioral experiments. A signal processing component connected to the electrode interface is used to process the current neural electrical signal transmitted by the electrode interface to obtain a corresponding target digital signal. A wireless signal receiving component is used to acquire a target wireless signal triggered and transmitted by a preset wireless signal triggering component, decode the target wireless signal, and determine the target biological behavioral event type corresponding to the current neural electrical signal based on the decoding result; the target wireless signal is a wireless signal triggered by the user through the preset wireless signal triggering component after observing the current biological behavior, and the target wireless signal carries information representing the behavioral event type of the current biological behavior; The controller comprises a target memory and a power supply component. The controller is configured to generate target event tagging data based on the target biological behavioral event type and the current timestamp, and send the current neural electrical signal, the target digital signal, and the target event tagging data to the target memory for associated storage.

[0006] Optionally, the signal processing component includes a signal amplifier, a filter circuit, and an analog-to-digital converter; wherein, The signal amplifier is used to amplify the current neural electrical signal to obtain a first neural electrical signal; The filtering circuit is used to filter the first neural electrical signal to obtain the second neural electrical signal. The analog-to-digital converter is used to perform analog-to-digital conversion processing on the second neural electrical signal to obtain the target digital signal.

[0007] Optionally, the controller is a microcontroller or an FPGA.

[0008] Optionally, the wireless signal receiving component includes a wireless signal receiving circuit; wherein, The wireless signal receiving circuit is used to acquire the target wireless signal triggered and sent by the preset wireless signal triggering component.

[0009] Optionally, the preset wireless signal triggering component is a preset infrared remote controller, so that the wireless signal receiving component can acquire the target infrared signal triggered and sent by the preset infrared remote controller, decode the target infrared signal, and determine the target biological behavior event type corresponding to the current neural electrical signal based on the decoding result corresponding to the target infrared signal.

[0010] Optionally, the preset wireless signal triggering component is a preset Bluetooth signal triggering component, so that the wireless signal receiving component can acquire the target Bluetooth signal triggered and sent by the preset Bluetooth signal triggering component, decode the target Bluetooth signal, and determine the target biological behavioral event type corresponding to the current neural electrical signal based on the decoding result corresponding to the target Bluetooth signal.

[0011] Optionally, the power supply component is used to provide power to the electrode interface, the signal processing component, the wireless signal receiving component, the controller, and the target memory via battery power.

[0012] Secondly, this application provides a method for acquiring biological neural signals, applied to a biological neural signal acquisition device, the biological neural signal acquisition device including an electrode interface, a signal processing component, a wireless signal receiving component, a controller, a target memory, and a power supply component; wherein, the method includes: The electrode interface is used to collect the current neural electrical signals of the target organism during biological behavioral experiments; the electrode interface is connected to the implanted electrodes of the target organism. The signal processing component processes the current neural electrical signal transmitted through the electrode interface to obtain the corresponding target digital signal. The wireless signal receiving component acquires the target wireless signal triggered and sent by the preset wireless signal triggering component, decodes the target wireless signal, and determines the target biological behavior event type corresponding to the current neural electrical signal based on the decoding result; the target wireless signal is the wireless signal triggered by the user through the preset wireless signal triggering component after observing the current biological behavior, and the target wireless signal carries information representing the behavioral event type of the current biological behavior; The controller generates target event marker data based on the target biological behavioral event type and the current timestamp, and sends the current neural electrical signal, the target digital signal, and the target event marker data to the target memory for associated storage.

[0013] Thirdly, this application provides an electronic device, comprising: Memory, used to store computer programs; A processor is used to execute the computer program to implement the aforementioned biological neural signal acquisition method.

[0014] Fourthly, this application provides a computer-readable storage medium for storing a computer program; wherein, when the computer program is executed by a processor, it implements the aforementioned biological neural signal acquisition method.

[0015] This application provides a biological neural signal acquisition device including an electrode interface connected to an implantable electrode of a target organism for acquiring the target organism's current neural electrical signals during biological behavior experiments; a signal processing component connected to the electrode interface for processing the current neural electrical signals transmitted through the electrode interface to obtain a corresponding target digital signal; a wireless signal receiving component for acquiring a target wireless signal triggered and transmitted by a preset wireless signal triggering component, decoding the target wireless signal, and determining the target biological behavior event type corresponding to the current neural electrical signal based on the decoding result; the target wireless signal is a wireless signal triggered by the preset wireless signal triggering component after the user observes the current biological behavior, and the target wireless signal carries information characterizing the behavioral event type of the current biological behavior; a controller, a target memory, and a power supply component; the controller is used to generate target event marker data based on the target biological behavior event type and a current timestamp, and send the current neural electrical signal, the target digital signal, and the target event marker data to the target memory for associated storage. As can be seen from the above, this application can complete the acquisition, processing and offline storage of neural electrical signals in a biological state of free activity. It can accurately record the timestamps and event types corresponding to biological behaviors, realize the synchronous binding of neural signals and behavioral events, effectively improve the synchronization accuracy and reliability of data in multi-device, long-term experiments, and provide stable, efficient and unrestricted signal acquisition for brain-computer interface and neuroscience research. Attached Figure Description

[0016] To more clearly illustrate the technical solutions in the embodiments of the present invention or the prior art, the drawings used in the description of the embodiments or the prior art will be briefly introduced below. Obviously, the drawings described below are only embodiments of the present invention. For those skilled in the art, other drawings can be obtained based on the provided drawings without creative effort.

[0017] Figure 1 This application provides a schematic diagram of the structure of a biological neural signal acquisition device; Figure 2 A schematic diagram of a specific biological neural signal acquisition device provided in this application; wherein, Figure 2 (a) in the figure represents the improved biological neural signal acquisition device designed and implemented in this application. Figure 2 (b) in the text represents a traditional biological neural signal acquisition device; Figure 3 A schematic diagram of a specific biological neural signal acquisition device provided in this application; Figure 4 A schematic diagram of the operation of a specific multi-biological neural signal acquisition device provided in this application; Figure 5 A flowchart of a biological neural signal acquisition method provided in this application; Figure 6 A flowchart of a specific biological neural signal acquisition method provided in this application; Figure 7 This application provides a structural diagram of an electronic device. Detailed Implementation

[0018] The technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention.

[0019] Brain-computer interface (BCI) technology constructs a direct communication pathway between the brain and external devices by analyzing brain neural activity, serving as a core support for brain science research and human-computer interaction innovation. Invasive BCIs, capable of capturing single-cell firing activity and acquiring high-resolution neural signals, have become the mainstream development direction in the field. In invasive BCI systems, the weak neural signals acquired by the head-mounted amplifier need to be conditioned, converted, and stored by a dedicated acquisition device to support subsequent neural coding and behavioral analysis. Current neural signal acquisition devices have significant limitations in practical applications. Most devices rely on cables to connect to a host computer for power supply and data transmission. In typical animal experimental scenarios such as mouse open field exploration and free movement, cables significantly restrict the range of motion of experimental subjects, requiring the use of structures such as gimbals to prevent cable tangling. This increases experimental complexity, interferes with the animal's natural behavioral state, and reduces the ecological validity of the data. Furthermore, in scenarios with multiple devices acquiring data simultaneously, each device relies on its own internal clock. Clock deviations accumulate over time, causing neural signals acquired by different devices to shift on the timeline. This makes it difficult to accurately align with behavioral videos, external stimuli, and other data, severely impacting the reliability of synchronous analysis results. To this end, this application provides a biological neural signal acquisition scheme that can simultaneously acquire neural signals and perform offline storage, and provides a stable and reliable time synchronization and event marking mechanism.

[0020] See Figure 1 As shown, an embodiment of the present invention discloses a biological neural signal acquisition device, comprising: Electrode interface 1 is connected to an implantable electrode of the target organism and is used to collect the current neural electrical signals of the target organism during biological behavior experiments.

[0021] The signal processing component 2, which is connected to the electrode interface, is used to process the current neural electrical signal transmitted by the electrode interface to obtain the corresponding target digital signal.

[0022] The wireless signal receiving component 3 is used to acquire the target wireless signal triggered and sent by the preset wireless signal triggering component, decode the target wireless signal, and determine the target biological behavior event type corresponding to the current neural electrical signal based on the decoding result; the target wireless signal is the wireless signal triggered by the user through the preset wireless signal triggering component after observing the current biological behavior, and the target wireless signal carries information representing the behavioral event type of the current biological behavior.

[0023] The system includes a controller 4, a target memory 5, and a power supply component 6. The controller is used to generate target event marker data based on the target biological behavioral event type and the current timestamp, and to send the current neural electrical signal, the target digital signal, and the target event marker data to the target memory 5 for associated storage.

[0024] It should be noted that, see Figure 2 As shown, Figure 2 (a) in this embodiment is the improved biological neural signal acquisition device designed and implemented in this example. Figure 2 In (b), a traditional biological neural signal acquisition device is used. The target organism's head is equipped with an improved biological neural signal acquisition device, which is connected to an external host without any cables. This eliminates the constraints of universal joints and connecting cables in traditional wired acquisition schemes, allowing free movement in the experimental environment and enabling unrestricted offline acquisition of EEG data. In this embodiment, the components of the biological neural signal acquisition device are connected via signal to achieve data transmission and control, working together to complete the acquisition, processing, and storage of neural signals.

[0025] In this embodiment, electrode interface 1 is connected to an implantable electrode of the target organism to collect the target organism's current neural electrical signals during biological behavior experiments; wherein, the implantable electrode can be replaced by a head-mounted amplifier. Afterwards, electrode interface 1 can input the collected current neural electrical signals to signal processing component 2 connected to the electrode interface. Signal processing component 2 supports multi-channel signal acquisition, such as 32, 64, 96, or 128 channels, to meet the needs of multi-channel data acquisition in neural signal experiments.

[0026] It should be noted that the signal processing component 2 integrates a signal amplifier, a filter circuit, and an ADC (Analog-to-Digital Converter) to amplify, filter, and convert weak neural electrical signals to digital. Specifically, the signal amplifier amplifies the current neural electrical signal to remove environmental noise and interference signals, thereby obtaining a first neural electrical signal; the filter circuit filters the first neural electrical signal to obtain a second neural electrical signal; and the ADC performs analog-to-digital conversion on the second neural electrical signal to obtain the target digital signal.

[0027] In this embodiment, the wireless signal receiving component 3 is connected to the controller 4 and includes a built-in wireless signal receiving circuit and a signal decoding unit. The wireless signal receiving circuit is used to acquire the target wireless signal triggered and transmitted by a preset wireless signal triggering component. The signal decoding unit is used to decode the target wireless signal and determine the target biological behavioral event type corresponding to the current neural electrical signal based on the decoding result. It should be noted that the target wireless signal is the wireless signal triggered by the user through the preset wireless signal triggering component after observing the current biological behavior. Furthermore, the target wireless signal carries information representing the behavioral event type of the current biological behavior, such as 1 to 9 preset event types, each corresponding to a different experimental behavior.

[0028] In one specific embodiment, the preset wireless signal triggering component is a preset infrared remote controller. The wireless signal receiving component 3 can acquire the target infrared signal triggered and sent by the preset infrared remote controller, decode the target infrared signal, and determine the target biological behavioral event type corresponding to the current neural electrical signal based on the decoding result corresponding to the target infrared signal. For details, see [link to specific implementation]. Figure 3 As shown, after observing the current biological behavior, the user sends an infrared signal with a preset code through a preset infrared remote control. The infrared signal is used to represent synchronization information or event type information. The wireless signal receiving circuit in the wireless signal receiving component 3 receives the infrared signal and decodes it. Based on the decoding result, the target biological behavior event type corresponding to the current neural electrical signal is obtained.

[0029] It should be noted that, see Figure 4 As shown, the external infrared remote control acts as a signal transmitter, which can simultaneously send infrared signals to multiple biological neural signal acquisition devices in the experimental scenario. Each biological neural signal acquisition device is equipped with a wireless signal receiving component 3, which can simultaneously receive infrared signals, thereby achieving time alignment of multiple biological neural signal acquisition devices and synchronous recording of experimental events, and adapting to brain-computer interface experimental scenarios with multi-device collaboration.

[0030] In another specific embodiment, the preset wireless signal triggering component is a preset Bluetooth signal triggering component. The wireless signal receiving component 3 can acquire the target Bluetooth signal triggered and sent by the preset Bluetooth signal triggering component, decode the target Bluetooth signal, and determine the target biological behavioral event type corresponding to the current neural electrical signal based on the decoding result corresponding to the target Bluetooth signal. It should be noted that the wireless signal includes, but is not limited to, infrared signals and Bluetooth signals.

[0031] Furthermore, in a multi-animal behavior experiment, multiple biological neural signal acquisition devices were installed on different experimental subjects, with each device independently acquiring neural signals. When the experimenter observed a target behavioral event, a corresponding target wireless signal was sent via a preset wireless signal trigger component, and each biological neural signal acquisition device simultaneously recorded the time information of the target behavioral event. After the experiment, by analyzing the event-marked data recorded by each biological neural signal acquisition device, time errors between different devices could be corrected, thereby achieving synchronous analysis of neural signal data from multiple devices. In this way, by sending the target wireless signal multiple times during the experiment, each biological neural signal acquisition device can record a unified time reference point, thus achieving time alignment between different devices in subsequent data processing. Therefore, this embodiment can achieve time synchronization between multiple independent biological neural signal acquisition devices without the need for a wired connection or a unified clock source.

[0032] In this embodiment, controller 4 is connected to signal processing component 2 and wireless signal receiving component 3, and is used to control and manage the data of the biological neural signal acquisition device. Controller 4 can be implemented using an MCU (Microcontroller Unit) or FPGA (Field-Programmable Gate Array), and its main functions include controlling the data acquisition process, managing sampling parameters, processing acquired data, and controlling the writing of data to the target memory 5. Specifically, wireless signal receiving component 3 transmits the target biological behavioral event type corresponding to the current neural electrical signal to controller 4. Controller 4 receives the target biological behavioral event type, records the local time information of the current system, and generates target event labeling data; the target event labeling data may also include device representation information. Finally, controller 4 can send the current neural electrical signal, target digital signal, and target event labeling data to the target memory 5, and store them in chronological order to achieve offline data storage.

[0033] It should be noted that the target memory 5 is connected to the controller 4 and can use a removable storage medium, such as an SD card, microSD card, or CF card, or a non-removable storage medium, such as flash memory or ROM. The biological neural signal acquisition device can complete data acquisition and storage without connecting to a host computer via a data cable during operation. After the experiment, the acquired data can be retrieved by reading the storage medium.

[0034] In this embodiment, the biological neural signal acquisition device also includes a power supply component 6, which is used to connect to the electrode interface 1, signal processing component 2, wireless signal receiving component 3, controller 4 and target memory 5 in the biological neural signal acquisition device to provide power. The power supply component 6 preferably uses battery power so that the biological neural signal acquisition device can operate independently without external power.

[0035] As can be seen from the above, this embodiment provides a biological neural signal acquisition device including an electrode interface connected to an implantable electrode of a target organism for acquiring the current neural electrical signal of the target organism during a biological behavior experiment; a signal processing component connected to the electrode interface for processing the current neural electrical signal transmitted by the electrode interface to obtain a corresponding target digital signal; a wireless signal receiving component for acquiring a target wireless signal triggered and transmitted by a preset wireless signal triggering component, decoding the target wireless signal, and determining the target biological behavior event type corresponding to the current neural electrical signal based on the decoding result; the target wireless signal is a wireless signal triggered by the user through the preset wireless signal triggering component after observing the current biological behavior, and the target wireless signal carries information characterizing the behavioral event type of the current biological behavior; a controller, a target memory, and a power supply component; the controller is used to generate target event marker data based on the target biological behavior event type and the current timestamp, and send the current neural electrical signal, the target digital signal, and the target event marker data to the target memory for associated storage. As can be seen from the above, this embodiment can complete the acquisition, processing and offline storage of neural electrical signals under the state of biological free activity. It can accurately record the timestamps and event types corresponding to biological behavior, realize the synchronous binding of neural signals and behavioral events, effectively improve the synchronization accuracy and reliability of data in multi-device, long-term experiments, and provide stable, efficient and unrestricted signal acquisition for brain-computer interface and neuroscience research.

[0036] See Figure 5 As shown, this invention discloses a method for acquiring biological neural signals, applied to a biological neural signal acquisition device. The biological neural signal acquisition device includes an electrode interface, a signal processing component, a wireless signal receiving component, a controller, a target memory, and a power supply component. The method may include: Step S11: Collect the current neural electrical signals of the target organism during the biological behavior experiment through the electrode interface; the electrode interface is connected to the implanted electrode of the target organism.

[0037] Step S12: The current neural electrical signal transmitted through the electrode interface is processed by the signal processing component to obtain the corresponding target digital signal.

[0038] Step S13: Obtain the target wireless signal triggered and sent by the preset wireless signal triggering component through the wireless signal receiving component, decode the target wireless signal, and determine the target biological behavior event type corresponding to the current neural electrical signal based on the decoding result; the target wireless signal is the wireless signal triggered by the user through the preset wireless signal triggering component after observing the current biological behavior, and the target wireless signal carries information representing the behavioral event type of the current biological behavior.

[0039] Step S14: The controller generates target event marker data based on the target biological behavior event type and the current timestamp, and sends the current neural electrical signal, the target digital signal and the target event marker data to the target memory for associated storage.

[0040] In one specific implementation, see Figure 6 As shown, the biological neural signal acquisition process can specifically include: battery power, simultaneously activating two parallel processing flows: one flow receives externally triggered wireless signals via a wireless signal receiving circuit, then the signal decoding unit decodes the wireless signals, analyzes them, and generates the corresponding event type; the other flow acquires the neural electrical signals of the target organism via an electrode interface, which are then processed by a signal processing component and converted into digital signals. Finally, the controller generates event-marked data based on the event type information and the local system time, and simultaneously receives the neural electrical signals and digital signals. Finally, the event-marked data, neural electrical signals, and digital signals are synchronously correlated and written into the target memory.

[0041] For details regarding steps S11, S12, and S13, please refer to the relevant content in the above embodiments, which will not be repeated here.

[0042] As can be seen from the above, in this embodiment, the current neural electrical signals of the target organism are first collected during the biological behavior experiment through the electrode interface; the electrode interface is connected to the implanted electrode of the target organism; then, the current neural electrical signals transmitted through the electrode interface are processed by the signal processing component to obtain the corresponding target digital signal; subsequently, the target wireless signal triggered and sent by the preset wireless signal triggering component is obtained through the wireless signal receiving component, the target wireless signal is decoded, and the target biological behavior event type corresponding to the current neural electrical signal is determined based on the decoding result; the target wireless signal is the wireless signal triggered by the preset wireless signal triggering component after the user observes the current biological behavior, and the target wireless signal carries information representing the behavioral event type of the current biological behavior; finally, the target event marker data is generated based on the target biological behavior event type and the current timestamp through the controller, and the current neural electrical signal, the target digital signal, and the target event marker data are sent to the target memory for associated storage. In summary, this embodiment first acquires the current neural electrical signals of the target organism in real time during biological behavior experiments via an electrode interface connected to the implanted electrode of the target organism. Then, a signal processing component processes the acquired neural electrical signals to generate corresponding target digital signals. Subsequently, a wireless signal receiving component acquires the target wireless signal, sent by a preset wireless trigger component carrying behavioral event type information, after the experimenter observes the biological behavior. This signal is then decoded to determine the target biological behavioral event type corresponding to the current neural electrical signal. Finally, the controller generates target event marker data based on the target biological behavioral event type and the current timestamp, and associates and stores the current neural electrical signal, target digital signal, and target event marker data in the target memory. In this way, this embodiment enables the acquisition, processing, and offline storage of neural electrical signals in biological free behavior experiments without external cable constraints. It can accurately bind and synchronously record neural signals with corresponding behavioral events, effectively improving the data time alignment accuracy and experimental reliability when multiple devices acquire data in parallel, providing stable and efficient acquisition support for neuroscience and brain-computer interface research.

[0043] Furthermore, embodiments of this application also disclose an electronic device, Figure 7The diagram illustrates the structure of an electronic device 20 according to an exemplary embodiment. The content of the diagram should not be construed as limiting the scope of this application. Specifically, the electronic device 20 may include: at least one processor 21, at least one memory 22, a power supply 23, a communication interface 24, an input / output interface 25, and a communication bus 26. The memory 22 stores a computer program, which is loaded and executed by the processor 21 to implement the relevant steps in the biological neural signal acquisition method disclosed in any of the foregoing embodiments. Furthermore, the electronic device 20 in this embodiment may specifically be an electronic computer.

[0044] In this embodiment, the power supply 23 is used to provide operating voltage for each hardware device on the electronic device 20; the communication interface 24 can create a data transmission channel between the electronic device 20 and external devices, and the communication protocol it follows can be any communication protocol applicable to the technical solution of this application, and is not specifically limited here; the input / output interface 25 is used to acquire external input data or output data to the outside world, and its specific interface type can be selected according to specific application needs, and is not specifically limited here.

[0045] In addition, the memory 22, as a carrier for resource storage, can be a read-only memory, random access memory, disk or optical disk, etc. The resources stored thereon can include operating system 221, computer program 222, etc., and the storage method can be temporary storage or permanent storage.

[0046] The operating system 221 is used to manage and control the various hardware devices on the electronic device 20 and the computer program 222, which may be Windows Server, Netware, Unix, Linux, etc. In addition to including a computer program capable of performing the biological neural signal acquisition method executed by the electronic device 20 as disclosed in any of the foregoing embodiments, the computer program 222 may further include a computer program capable of performing other specific tasks.

[0047] Furthermore, this application also discloses a computer-readable storage medium for storing a computer program; wherein, when the computer program is executed by a processor, it implements the aforementioned disclosed method for acquiring biological neural signals. Specific steps of this method can be found in the corresponding content disclosed in the foregoing embodiments, and will not be repeated here.

[0048] The various embodiments in this specification are described in a progressive manner, with each embodiment focusing on its differences from other embodiments. Similar or identical parts between embodiments can be referred to interchangeably. For the apparatus disclosed in the embodiments, since it corresponds to the method disclosed in the embodiments, the description is relatively simple; relevant parts can be referred to in the method section.

[0049] Those skilled in the art will further recognize that the units and algorithm steps of the various examples described in conjunction with the embodiments disclosed herein can be implemented in electronic hardware, computer software, or a combination of both. To clearly illustrate the interchangeability of hardware and software, the components and steps of the various examples have been generally described in terms of functionality in the foregoing description. Whether these functions are implemented in hardware or software depends on the specific application and design constraints of the technical solution. Those skilled in the art can use different methods to implement the described functions for each specific application, but such implementation should not be considered beyond the scope of this application.

[0050] The steps of the methods or algorithms described in conjunction with the embodiments disclosed herein can be implemented directly by hardware, a software module executed by a processor, or a combination of both. The software module can be located in random access memory (RAM), main memory, read-only memory (ROM), electrically programmable ROM, electrically erasable programmable ROM, registers, hard disk, removable disk, CD-ROM, or any other form of storage medium known in the art.

[0051] Finally, it should be noted that in this document, relational terms such as "first" and "second" are used only to distinguish one entity or operation from another, and do not necessarily require or imply any such actual relationship or order between these entities or operations. Furthermore, the terms "comprising," "including," or any other variations thereof are intended to cover non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements includes not only those elements but also other elements not expressly listed, or elements inherent to such a process, method, article, or apparatus. Without further limitations, an element defined by the phrase "comprising one..." does not exclude the presence of other identical elements in the process, method, article, or apparatus that includes said element.

[0052] The technical solutions provided in this application have been described in detail above. Specific examples have been used to illustrate the principles and implementation methods of this application. The descriptions of the above embodiments are only for the purpose of helping to understand the methods and core ideas of this application. At the same time, for those skilled in the art, there will be changes in the specific implementation methods and application scope based on the ideas of this application. Therefore, the content of this specification should not be construed as a limitation of this application.

Claims

1. A biological neural signal acquisition device, characterized in that, include: An electrode interface is connected to an implantable electrode of the target organism for collecting the current neural electrical signals of the target organism during biological behavioral experiments. A signal processing component connected to the electrode interface is used to process the current neural electrical signal transmitted by the electrode interface to obtain a corresponding target digital signal. A wireless signal receiving component is used to acquire a target wireless signal triggered and transmitted by a preset wireless signal triggering component, decode the target wireless signal, and determine the target biological behavioral event type corresponding to the current neural electrical signal based on the decoding result; the target wireless signal is a wireless signal triggered by the user through the preset wireless signal triggering component after observing the current biological behavior, and the target wireless signal carries information representing the behavioral event type of the current biological behavior; Controller, target memory, and power supply components; The controller is configured to generate target event marker data based on the target biological behavioral event type and the current timestamp, and send the current neural electrical signal, the target digital signal and the target event marker data to the target memory for associated storage.

2. The biological neural signal acquisition device according to claim 1, characterized in that, The signal processing component includes a signal amplifier, a filter circuit, and an analog-to-digital converter; wherein... The signal amplifier is used to amplify the current neural electrical signal to obtain a first neural electrical signal; The filtering circuit is used to filter the first neural electrical signal to obtain the second neural electrical signal. The analog-to-digital converter is used to perform analog-to-digital conversion processing on the second neural electrical signal to obtain the target digital signal.

3. The biological neural signal acquisition device according to claim 1, characterized in that, The controller is a microcontroller or an FPGA.

4. The biological neural signal acquisition device according to claim 1, characterized in that, The wireless signal receiving component includes a wireless signal receiving circuit; wherein... The wireless signal receiving circuit is used to acquire the target wireless signal triggered and sent by the preset wireless signal triggering component.

5. The biological neural signal acquisition device according to claim 1, characterized in that, The preset wireless signal triggering component is a preset infrared remote controller, so that the wireless signal receiving component can acquire the target infrared signal triggered and sent by the preset infrared remote controller, decode the target infrared signal, and determine the target biological behavior event type corresponding to the current neural electrical signal based on the decoding result corresponding to the target infrared signal.

6. The biological neural signal acquisition device according to claim 1, characterized in that, The preset wireless signal triggering component is a preset Bluetooth signal triggering component, so that the wireless signal receiving component can obtain the target Bluetooth signal triggered and sent by the preset Bluetooth signal triggering component, decode the target Bluetooth signal, and determine the target biological behavior event type corresponding to the current neural electrical signal based on the decoding result corresponding to the target Bluetooth signal.

7. The biological neural signal acquisition device according to claim 1, characterized in that, The power supply component is used to provide power to the electrode interface, the signal processing component, the wireless signal receiving component, the controller, and the target memory via battery power.

8. A method for acquiring biological neural signals, characterized in that, An application is made in a biological neural signal acquisition device, which includes an electrode interface, a signal processing component, a wireless signal receiving component, a controller, a target memory, and a power supply component; wherein, the method includes: The electrode interface is used to collect the current neural electrical signals of the target organism during biological behavioral experiments; the electrode interface is connected to the implanted electrodes of the target organism. The signal processing component processes the current neural electrical signal transmitted through the electrode interface to obtain the corresponding target digital signal. The wireless signal receiving component acquires the target wireless signal triggered and sent by the preset wireless signal triggering component, decodes the target wireless signal, and determines the target biological behavior event type corresponding to the current neural electrical signal based on the decoding result; the target wireless signal is the wireless signal triggered by the user through the preset wireless signal triggering component after observing the current biological behavior, and the target wireless signal carries information representing the behavioral event type of the current biological behavior; The controller generates target event marker data based on the target biological behavioral event type and the current timestamp, and sends the current neural electrical signal, the target digital signal, and the target event marker data to the target memory for associated storage.

9. An electronic device, characterized in that, The electronic device includes a processor and a memory; wherein the memory is used to store a computer program, which is loaded and executed by the processor to implement the biological neural signal acquisition method as described in claim 8.

10. A computer-readable storage medium, characterized in that, Used to store a computer program, which, when executed by a processor, implements the biological neural signal acquisition method as described in claim 8.

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