Fiber optic signal decoupling method, system, device and medium for multimode fiber optic brain imaging

Abstract

The present invention relates to a fiber optic signal decoupling method, system, device, and medium for multimode fiber optic brain imaging. The method comprises the following steps: during autonomous movement of an experimental animal, obtaining the experimental animal's motion path recorded by a spatial position recording device, and simultaneously obtaining a first fiber optic signal of the experimental animal recorded by a head-mounted brain imaging device using optical fiber as a transmission medium; generating a control strategy for a multi-axis motion mechanism based on the motion path; using the control strategy to control the multi-axis motion mechanism to which the experimental animal is affixed, and collecting a second fiber optic signal of the experimental animal during the movement; and processing the first and second fiber optic signals to decouple the fiber optic motion signal caused by the multimode optical fiber being pulled by the experimental animal from the brain imaging signal of the experimental animal during movement. Compared to existing technologies, the present invention can decouple the fiber optic motion signal and brain imaging signal, providing high-quality fiber optic signal data.

Description

Technical Field

[0001] The present invention relates to the field of optical fiber brain imaging, and in particular to an optical fiber signal decoupling method, system, device and medium for multimode optical fiber brain imaging. Background Art

[0002] In recent years, functional optical brain imaging has rapidly developed and has become a crucial component of brain science research, forming a rich and diverse research field. One of the current trends in functional optical brain imaging is in awake animals. For a long time, one of the main goals of brain science research has been to explain the mechanisms that underlie higher-order neural activities, such as perception and behavioral control, learning, and memory. Therefore, researchers urgently need new technologies that can apply functional optical brain imaging to awake animals and integrate brain imaging with behavioral observations.

[0003] In the field of brain imaging in living animals, imaging probes made of optical fibers are commonly used. These probes are usually integrated into an animal head-mounted device to monitor changes in brain nerve movements during movement. Fiber optic probes are generally divided into two types: single-mode fiber bundles and multi-mode fibers. Single-mode fiber bundles can image the brains of living animals through cameras, confocal scanning, and other methods, while multi-mode fibers can image the brains of living animals through light field manipulation, computational optics, and other methods. Compared to single-mode fiber bundles, multi-mode fibers have a thinner fiber diameter and are less invasive and destructive to the brain tissue of living animals. At the same time, combined with light field manipulation methods, brain imaging probes based on multi-mode fibers can also have richer scientific research and diagnosis and treatment functions.

[0004] However, compared with single-mode fiber bundles, multimode optical fibers are more susceptible to changes in the state of the optical fiber itself. Since changes in optical fiber morphology and the movement of living animals often occur simultaneously, the changes in optical fiber signals caused by the morphological changes of multimode optical fibers caused by the movement of living animals are often coupled with changes in brain signals during the movement of living animals. Therefore, ordinary signal processing methods have difficulty distinguishing between the two, which is very unfavorable for brain imaging research of living moving animals. Summary of the Invention

[0005] The purpose of the present invention is to overcome the defects of the above-mentioned prior art and to provide a fiber optic signal decoupling method, system, equipment and medium for multi-mode fiber optic brain imaging. By introducing means such as experimental animal motion path recording and motion reproduction, the simulation of the fiber optic state changes in the moving state of living experimental animals is realized, and the decoupling between the fiber optic signal changes caused by the morphological changes of the multi-mode optical fiber pulled by the living animal and the brain signal changes during the movement of the living animal is realized. A large amount of high-quality fiber optic signal data can be provided, which can be used to improve the processing effect, reliability and versatility of the signal processing algorithm for brain imaging of living experimental animals.

[0006] The purpose of the present invention can be achieved by the following technical solutions:

[0007] According to a first aspect of the present invention, there is provided a method for optical fiber signal decoupling for multimode optical fiber brain imaging, the method comprising the following steps:

[0008] S1. During autonomous movement of the experimental animal, obtaining the movement path of the experimental animal recorded by a spatial position recording device, and simultaneously obtaining a first optical fiber signal of the experimental animal recorded by a head-mounted brain imaging device mounted on the head of the experimental animal and using optical fiber as a transmission medium;

[0009] S2. generating a control strategy for a multi-axis motion mechanism according to the motion path;

[0010] S3. Using the control strategy, control the multi-axis motion mechanism to which the experimental animal is fixed to move so that the motion path of the experimental animal is consistent with the motion path in step S1, and collect the second optical fiber signal of the experimental animal recorded by the head-mounted brain imaging device during the movement;

[0011] S4. Process the first optical fiber signal and the second optical fiber signal to achieve decoupling of the optical fiber motion signal caused by the multimode optical fiber being pulled by the experimental animal and the brain imaging signal when the experimental animal moves.

[0012] As a preferred technical solution, the spatial position recording device is fixed in the environment. By capturing an image containing spatial point markers and performing position matching on the spatial point markers in the image, the three-dimensional spatial position coordinates of the spatial point markers at each moment are obtained as the movement path of the experimental animal. The movement path is a discrete time series of three-dimensional position coordinates. The spatial point markers are evenly distributed on the surface of the experimental animal to ensure that the experimental animal can be recognized by the spatial position recording device in all positions and postures in the environment.

[0013] As a preferred technical solution, the spatial position recording device includes at least two high-speed cameras, and the arrangement positions of the high-speed cameras in the environment are determined based on whether their shooting ranges cover all areas in the entire environment.

[0014] As a preferred technical solution, in step S4, the signal processing of the first optical fiber signal and the second optical fiber signal is specifically as follows: preprocessing the first optical fiber signal and the second optical fiber signal respectively, and performing decoupling operation on the preprocessed signals to obtain the brain imaging signal of the experimental animal during movement with the optical fiber motion signal filtered out.

[0015] According to a second aspect of the present invention, there is provided a fiber optic signal decoupling system for multimode fiber optic brain imaging, comprising:

[0016] A spatial position recording device is used to record the movement path of the experimental animal during its autonomous movement;

[0017] A head-mounted brain imaging device, which uses optical fiber as a transmission medium and is mounted on the head of an experimental animal to collect a first optical fiber signal from the experimental animal during autonomous movement and a second optical fiber signal from the experimental animal during movement of a multi-axis motion mechanism;

[0018] A control strategy generating module, configured to generate a control strategy for the multi-axis motion mechanism according to the motion path;

[0019] a multi-axis motion mechanism, wherein the experimental animal is fixed on a stage of the multi-axis motion mechanism, and the multi-axis motion mechanism is controlled by a control strategy to move in an environment so that the motion path of the experimental animal is consistent with the motion path of the experimental animal's autonomous movement;

[0020] The signal processing module is used to process the first optical fiber signal and the second optical fiber signal to achieve decoupling of the optical fiber motion signal caused by the multimode optical fiber being pulled by the experimental animal and the brain imaging signal when the experimental animal moves.

[0021] As a preferred technical solution, the spatial position recording device is fixed in the environment. By capturing an image containing spatial point markers and performing position matching on the spatial point markers in the image, the three-dimensional spatial position coordinates of the spatial point markers at each moment are obtained as the movement path of the experimental animal. The movement path is a discrete time series of three-dimensional position coordinates. The spatial point markers are evenly distributed on the surface of the experimental animal to ensure that the experimental animal can be recognized by the spatial position recording device in all positions and postures in the environment.

[0022] As a preferred technical solution, the spatial position recording device includes at least two high-speed cameras, and the arrangement positions of the high-speed cameras in the environment are determined based on whether their shooting ranges cover all areas in the entire environment.

[0023] As a preferred technical solution, the signal processing module specifically performs the following steps: preprocessing the first optical fiber signal and the second optical fiber signal respectively, and performing decoupling operation on the preprocessed signals to obtain the brain imaging signal of the experimental animal during movement with the optical fiber motion signal filtered out.

[0024] According to a third aspect of the present invention, an electronic device is provided, comprising a memory and a processor, wherein a computer program is stored in the memory, and the processor implements the method when executing the program.

[0025] According to a fourth aspect of the present invention, a computer-readable storage medium is provided, on which a computer program is stored, and when the program is executed by a processor, the method described above is implemented.

[0026] Compared with the existing technology, the present invention realizes the simulation of the changes in optical fiber state during the movement of living experimental animals by introducing means such as experimental animal motion path recording and motion reproduction, and realizes the decoupling between the morphological changes caused by the multimode optical fiber being pulled by the living animal and the changes in optical fiber signals caused by the living animal's movement, and the brain signal changes during the living animal's movement. The processing algorithm is simple and the signal processing efficiency is high. It can efficiently provide a large amount of high-quality optical fiber signal data, which can be used to improve the processing effect, reliability and versatility of the signal processing algorithm for brain imaging of living experimental animals. BRIEF DESCRIPTION OF THE DRAWINGS

[0027] Figure 1 is a flow chart of the method of the present invention;

[0028] Figure 2 A schematic diagram of the spatial point markers and head-mounted brain imaging device in the present invention;

[0029] Figure 3 Schematic diagram of the process of using the spatial position recording device to record the motion path and the first optical fiber signal at the same time in the present invention;

[0030] Figure 4 This is a schematic diagram of the process in which the multi-axis motion mechanism of the present invention moves according to the control strategy and simultaneously records the second optical fiber signal. DETAILED DESCRIPTION

[0031] The following will clearly and completely describe the technical solutions in the embodiments of the present invention in conjunction with the accompanying drawings. Obviously, the described embodiments are part of the embodiments of the present invention, not all of them. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without making creative efforts should fall within the scope of protection of the present invention.

[0032] Example 1

[0033] This embodiment provides a fiber optic signal decoupling method for multimode fiber optic brain imaging, such as Figure 1 As shown, the method includes the following steps:

[0034] S1. During the autonomous movement of the experimental animal, the movement path of the experimental animal recorded by the spatial position recording device is obtained. At the same time, the first optical fiber signal of the experimental animal recorded by a head-mounted brain imaging device installed on the head of the experimental animal and using optical fiber as the transmission medium is obtained.

[0035] like Figure 2 and Figure 3As shown, the spatial position recording device is fixed in the environment. By capturing an image containing spatial point markers and performing position matching on the spatial point markers in the image, the three-dimensional spatial position coordinates of the spatial point markers at each moment are obtained as the movement path of the experimental animal. The movement path is a discrete time series of three-dimensional position coordinates. The spatial point markers are evenly distributed on the surface of the experimental animal to ensure that the experimental animal can be recognized by the spatial position recording device at all positions and postures in the environment.

[0036] The spatial position recording device includes at least two high-speed cameras, the placement of which in the environment is determined based on their coverage of all areas within the environment. In this embodiment, high-speed infrared cameras are used. The spatial position recording device should be capable of recording at least the spatial translational and rotational motion of the experimental animal.

[0037] In this embodiment, the experimental animal takes a mouse as an example. It is necessary to first process the body surface of the experimental animal and remove the body hair so that the marking point can be stably attached to its body surface. Then, reflective spatial point markers that can be recognized by the spatial position recording device are set on its surface so that they are evenly distributed on the body surface of the experimental animal.

[0038] The experimental animals are placed in an experimental environment, and spatial position recording is deployed in the experimental environment. Here, an optical motion capture system is taken as an example. Common optical motion capture is mostly based on the principle of computer vision. This method requires affixing reflective marking points on the surface of the target object and using a high-speed infrared camera to capture the motion trajectory of the reflective marking points on the target object, thereby reflecting the movement of the target object in space. Theoretically, for a point in space, as long as it can be seen by two cameras at the same time, the position of the point in space at this moment can be determined based on the images and camera parameters taken by the two cameras at the same moment. Use a spatial position recording device to capture and record the movement path of the experimental animal, and at the same time record the first optical fiber data collected by the brain imaging device.

[0039] In one embodiment, the process of generating the motion path includes the following steps:

[0040] S11. Camera calibration: Determine the camera's internal parameters (such as focal length, principal point, etc.) and external parameters (camera position and orientation).

[0041] Using a calibration plate of known geometry (such as a checkerboard), capture multiple images of the plate at different angles and positions. Image processing algorithms are used to extract feature points (such as corners) on the plate. The camera's intrinsic and extrinsic parameters are calculated using the pixel coordinates of these feature points in the image and their physical coordinates on the plate. Common calibration methods include the Tsai method and the Zhang Zhengyou method.

[0042] S12. Feature extraction and matching: Extract key points and descriptors from images and match these feature points between different images.

[0043] Use feature extraction algorithms (such as SIFT, SURF, ORB, etc.) to extract key points in the image and generate corresponding descriptors. Then, use feature matching algorithms (such as brute force matching, FLANN matching, etc.) to match these feature points between different images.

[0044] S13. 3D reconstruction: Calculate the 3D coordinates of the spatial point markers using the matched feature points.

[0045] Method: Using methods such as triangulation, the coordinates of the spatial point markers in 3D space are calculated based on the pixel coordinates of the matched feature points in the image and the intrinsic and extrinsic parameters of the camera. Commonly used 3D reconstruction algorithms include direct linear transformation (DLT) and methods based on nonlinear optimization.

[0046] S14. Camera pose estimation: Estimate the pose (position and orientation) of the camera in the world coordinate system through the matched feature points.

[0047] The camera's posture is estimated using an optimization algorithm (such as the ICP algorithm, PnP algorithm, etc.) using the matched feature points and the camera's internal and external parameters.

[0048] S15, motion path determination: The three-dimensional coordinates obtained in the above steps are integrated with the camera posture to obtain the accurate position of the spatial point marker in the three-dimensional space at each moment, thereby forming a motion path.

[0049] S2. Generate a control strategy for the multi-axis motion mechanism according to the motion path.

[0050] In one embodiment, the process of generating a control strategy includes the following steps:

[0051] S21. Kinematic Modeling

[0052] Build a kinematic model for a multi-axis motion mechanism based on its physical structure and kinematic characteristics. The model should describe the kinematic relationships between the mechanism's axes and the mapping between them and the path. Determine key model parameters, such as the stroke, velocity, and acceleration of each axis. These parameters should be selected and adjusted based on the actual application requirements and mechanism performance.

[0053] S22. Control strategy design

[0054] Select an appropriate control algorithm based on the kinematic model and motion path. Common control algorithms include PID control, model predictive control (MPC), and adaptive control. This control algorithm generates control signals for each axis based on the preset path and real-time feedback information (such as position, velocity, and acceleration). These control signals can be position commands, velocity commands, or torque commands, depending on the control algorithm and mechanism performance.

[0055] S23, scrolling optimization

[0056] During the control process, a rolling-horizon optimization mechanism is used to continuously adjust and optimize the control strategy based on real-time feedback information. This helps improve the adaptability of the multi-axis motion mechanism to changing environmental conditions and ensures the accuracy and stability of path tracking.

[0057] S3. Use the control strategy to control the multi-axis motion mechanism on which the experimental animal is fixed on the stage to move, so that the motion path of the experimental animal is consistent with the motion path in step S1, and collect the second optical fiber signal of the experimental animal recorded by the head-mounted brain imaging device during the movement.

[0058] The multi-axis motion mechanism should be able to at least realize the spatial translation and spatial rotation of the object platform.

[0059] Based on the images captured by the spatial position recording device and processed by the corresponding software, the spatial position and motion path information of the experimental animal can be obtained. The obtained motion path data of the experimental animal is imported into the control system of the multi-axis motion mechanism. The multi-axis motion mechanism here can be a multi-axis displacement stage or a motion device such as a multi-axis industrial robot. The experimental animal or animal simulation model equipped with a brain imaging device is fixed on the loading platform of the multi-axis operating mechanism, and the axis motion mechanism is then commanded to move according to the previously recorded spatial motion path of the experimental animal, thereby simulating the optical fiber state of the experimental animal in its original motion state and simultaneously recording the second optical fiber signal during movement.

[0060] S4. Process the first optical fiber signal and the second optical fiber signal to achieve decoupling of the optical fiber motion signal caused by the multimode optical fiber being pulled by the experimental animal and the brain imaging signal when the experimental animal moves.

[0061] The signal processing of the first optical fiber signal and the second optical fiber signal is specifically performed as follows: preprocessing the first optical fiber signal and the second optical fiber signal respectively, and performing a decoupling operation on the preprocessed signals to obtain a brain imaging signal of the experimental animal during movement with the optical fiber motion signal filtered out. The calculation method of the decoupling operation includes but is not limited to:

[0062] (1) Directly subtract the first fiber optic signal from the second fiber optic signal to obtain the brain imaging signal of the experimental animal during movement, after filtering out the fiber optic motion signal.

[0063] (2) The first fiber signal and the second fiber signal are Fourier transformed into the frequency domain, and according to the frequency domain characteristics of the second fiber signal, the signal of the first fiber signal in a specific frequency domain is suppressed and the inverse Fourier transform is performed to return it to the time domain signal.

[0064] Example 2

[0065] This embodiment provides a fiber optic signal decoupling system for multimode fiber optic brain imaging, comprising:

[0066] A spatial position recording device is used to record the movement path of the experimental animal during its autonomous movement;

[0067] A head-mounted brain imaging device, which uses optical fiber as a transmission medium and is mounted on the head of an experimental animal to collect a first optical fiber signal from the experimental animal during autonomous movement and a second optical fiber signal from the experimental animal during movement of a multi-axis motion mechanism;

[0068] A control strategy generating module, configured to generate a control strategy for the multi-axis motion mechanism according to the motion path;

[0069] a multi-axis motion mechanism, wherein the experimental animal is fixed on a stage of the multi-axis motion mechanism, and the multi-axis motion mechanism is controlled by a control strategy to move in an environment so that the motion path of the experimental animal is consistent with the motion path of the experimental animal's autonomous movement;

[0070] The signal processing module is used to process the first optical fiber signal and the second optical fiber signal to achieve decoupling of the optical fiber motion signal caused by the multimode optical fiber being pulled by the experimental animal and the brain imaging signal when the experimental animal moves.

[0071] Those skilled in the art will clearly understand that, for the convenience and brevity of description, the specific working processes of the modules and devices described above can refer to the corresponding processes in the aforementioned method embodiments and will not be repeated here.

[0072] Example 3

[0073] The electronic device of the present invention includes a central processing unit (CPU), which can perform various appropriate actions and processes according to computer program instructions stored in a read-only memory (ROM) or loaded from a storage unit into a random access memory (RAM). In the RAM, various programs and data required for device operation can also be stored. The CPU, ROM, and RAM are connected to each other via a bus. An input / output (I / O) interface is also connected to the bus.

[0074] Many components in a device are connected to the I / O interface, including: input units, such as a keyboard and mouse; output units, such as various types of displays and speakers; storage units, such as magnetic disks and optical disks; and communication units, such as network cards, modems, and wireless communication transceivers. The communication unit allows the device to exchange information / data with other devices via computer networks such as the Internet and / or various telecommunication networks.

[0075] The processing unit performs the various methods and processes described above, such as methods S1 to S4. For example, in some embodiments, methods S1 to S4 can be implemented as a computer software program, which is tangibly contained in a machine-readable medium, such as a storage unit. In some embodiments, part or all of the computer program can be loaded and / or installed on the device via a ROM and / or a communication unit. When the computer program is loaded into the RAM and executed by the CPU, one or more steps of methods S1 to S4 described above can be performed. Alternatively, in other embodiments, the CPU can be configured to execute methods S1 to S4 by any other appropriate means (for example, by means of firmware).

[0076] The functions described above herein may be performed, at least in part, by one or more hardware logic components. For example, and without limitation, exemplary types of hardware logic components that may be used include: field programmable gate arrays (FPGAs), application specific integrated circuits (ASICs), application specific standard products (ASSPs), systems on chip (SOCs), complex programmable logic devices (CPLDs), and the like.

[0077] The program code for implementing the method of the present invention can be written in any combination of one or more programming languages. Such program code can be provided to a processor or controller of a general-purpose computer, a special-purpose computer, or other programmable data processing device so that when the program code is executed by the processor or controller, the functions / operations specified in the flow chart and / or block diagram are implemented. The program code can be executed entirely on the machine, partially on the machine, as a stand-alone software package, partially on the machine and partially on a remote machine, or entirely on a remote machine or server.

[0078] In the context of the present invention, machine-readable medium can be a tangible medium that can contain or store a program for use with an instruction execution system, device or equipment or used in combination with an instruction execution system, device or equipment. Machine-readable medium can be a machine-readable signal medium or a machine-readable storage medium. Machine-readable medium can include, but is not limited to, electronic, magnetic, optical, electromagnetic, infrared or semiconductor systems, devices or equipment, or any suitable combination of the foregoing. More specific examples of machine-readable storage media can include electrical connections based on one or more lines, portable computer disks, hard disks, random access memories (RAM), read-only memories (ROM), erasable programmable read-only memories (EPROM or flash memory), optical fibers, portable compact disk read-only memories (CD-ROM), optical storage devices, magnetic storage devices, or any suitable combination of the foregoing.

[0079] The above description is merely a specific embodiment of the present invention, but the scope of protection of the present invention is not limited thereto. Any person skilled in the art can easily conceive of various equivalent modifications or substitutions within the technical scope disclosed in the present invention, and such modifications or substitutions are intended to be within the scope of protection of the present invention. Therefore, the scope of protection of the present invention shall be subject to the scope of protection of the claims.

Claims

1. A fiber optic signal decoupling method for multimode fiber optic brain imaging, characterized in that: The method comprises the following steps: S1. During autonomous movement of the experimental animal, obtaining the movement path of the experimental animal recorded by a spatial position recording device, and simultaneously obtaining a first optical fiber signal of the experimental animal recorded by a head-mounted brain imaging device mounted on the head of the experimental animal and using optical fiber as a transmission medium; S2. generating a control strategy for a multi-axis motion mechanism according to the motion path; S3. Using the control strategy, control the multi-axis motion mechanism to which the experimental animal is fixed to move so that the motion path of the experimental animal is consistent with the motion path in step S1, and collect the second optical fiber signal of the experimental animal recorded by the head-mounted brain imaging device during the movement; S4. Process the first optical fiber signal and the second optical fiber signal to achieve decoupling of the optical fiber motion signal caused by the multimode optical fiber being pulled by the experimental animal and the brain imaging signal when the experimental animal moves.

2. The optical fiber signal decoupling method for multimode optical fiber brain imaging according to claim 1, characterized in that: The spatial position recording device is fixed in the environment. By capturing an image containing spatial point markers and performing position matching on the spatial point markers in the image, the three-dimensional spatial position coordinates of the spatial point markers at each moment are obtained as the movement path of the experimental animal. The movement path is a discrete time series of three-dimensional position coordinates. The spatial point markers are evenly distributed on the surface of the experimental animal to ensure that the experimental animal can be recognized by the spatial position recording device at all positions and postures in the environment.

3. The optical fiber signal decoupling method for multimode optical fiber brain imaging according to claim 1, characterized in that: The spatial position recording device comprises at least two high-speed cameras, and the arrangement positions of the high-speed cameras in the environment are determined based on whether the shooting ranges of the two cameras cover all areas in the entire environment.

4. The optical fiber signal decoupling method for multimode optical fiber brain imaging according to claim 1, characterized in that: In step S4, the signal processing of the first optical fiber signal and the second optical fiber signal is specifically as follows: preprocessing the first optical fiber signal and the second optical fiber signal respectively, and performing decoupling operation on the preprocessed signals to obtain the brain imaging signal of the experimental animal during movement with the optical fiber motion signal filtered out.

5. A fiber optic signal decoupling system for multimode fiber optic brain imaging, characterized in that: include: A spatial position recording device is used to record the movement path of the experimental animal during its autonomous movement; A head-mounted brain imaging device, which uses optical fiber as a transmission medium and is mounted on the head of an experimental animal to collect a first optical fiber signal from the experimental animal during autonomous movement and a second optical fiber signal from the experimental animal during movement of a multi-axis motion mechanism; A control strategy generating module, configured to generate a control strategy for the multi-axis motion mechanism according to the motion path; a multi-axis motion mechanism, wherein the experimental animal is fixed on a stage of the multi-axis motion mechanism, and the multi-axis motion mechanism is controlled by a control strategy to move in an environment so that the motion path of the experimental animal is consistent with the motion path of the experimental animal's autonomous movement; The signal processing module is used to process the first optical fiber signal and the second optical fiber signal to achieve decoupling of the optical fiber motion signal caused by the multimode optical fiber being pulled by the experimental animal and the brain imaging signal when the experimental animal moves.

6. The optical fiber signal decoupling system for multimode optical fiber brain imaging according to claim 5, characterized in that: The spatial position recording device is fixed in the environment. By capturing an image containing spatial point markers and performing position matching on the spatial point markers in the image, the three-dimensional spatial position coordinates of the spatial point markers at each moment are obtained as the movement path of the experimental animal. The movement path is a discrete time series of three-dimensional position coordinates. The spatial point markers are evenly distributed on the surface of the experimental animal to ensure that the experimental animal can be recognized by the spatial position recording device at all positions and postures in the environment.

7. The optical fiber signal decoupling system for multimode optical fiber brain imaging according to claim 5, characterized in that: The spatial position recording device comprises at least two high-speed cameras, and the arrangement positions of the high-speed cameras in the environment are determined based on whether the shooting ranges of the two cameras cover all areas in the entire environment.

8. The optical fiber signal decoupling system for multimode optical fiber brain imaging according to claim 5, characterized in that: The signal processing module specifically performs the following steps: preprocessing the first optical fiber signal and the second optical fiber signal respectively, and performing decoupling operation on the preprocessed signals to obtain a brain imaging signal of the experimental animal during movement with the optical fiber movement signal filtered out.

9. An electronic device comprising a memory and a processor, wherein a computer program is stored in the memory, wherein: When the processor executes the program, the method according to any one of claims 1 to 4 is implemented.

10. A computer-readable storage medium having a computer program stored thereon, characterized in that: When the program is executed by a processor, the method according to any one of claims 1 to 4 is implemented.

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