Optical fiber signal decoupling method, system and device for multimode optical fiber brain imaging and medium

Abstract

The invention relates to an optical fiber signal decoupling method, system, equipment and medium for multimode optical fiber brain imaging, and the method comprises the following steps: in the autonomous motion process of an experimental animal, obtaining the motion path of the experimental animal recorded by a spatial position recording device, and meanwhile, obtaining the motion path of the experimental animal; acquiring a first optical fiber signal of the experimental animal recorded by a head-mounted brain imaging device taking an optical fiber as a transmission medium; generating a control strategy of the multi-axis movement mechanism according to the movement path; controlling the multi-axis movement mechanism fixed with the experimental animal to move by using the control strategy, and collecting a second optical fiber signal of the experimental animal in the movement process; signal processing is carried out on the first optical fiber signal and the second optical fiber signal, and decoupling of an optical fiber movement signal caused by pulling of the multimode optical fiber by the experimental animal and a brain imaging signal generated when the experimental animal moves is achieved. Compared with the prior art, decoupling of optical fiber motion signals and brain imaging signals can be achieved, and high-quality optical fiber signal data are provided.

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, brain function optical imaging has developed rapidly and has played an important role in brain science research, forming a rich and diverse research field. Brain function optical imaging of awake animals is one of the current development trends of brain function optical imaging. For a long time, one of the main goals of brain science research has been to explain the mechanism of higher neural activities such as perception and behavior control, learning and memory. Therefore, researchers urgently need new technologies that can apply brain function optical imaging to awake animals and combine brain function imaging with behavioral observations.

[0003] In the field of brain imaging in living animals, imaging probes made of optical fibers are usually used. These probes are usually integrated into an animal head-mounted device to monitor changes in brain nerve movements of animals in motion. Fiber optic probes are usually 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, etc., while multi-mode fibers can image the brains of living animals through light field control, computational optics, and other means. Compared with 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, in conjunction with light field control 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 the optical fiber morphology and the movement of living animals often occur simultaneously, the changes in the optical fiber signal caused by the morphology changes of the multimode optical fiber caused by the movement of living animals are often coupled with the changes in brain signals when the living animals move. Therefore, ordinary signal processing methods have difficulty distinguishing the two, which is very unfavorable for brain imaging studies 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 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 being pulled by the living animals and the brain signal changes during the movement of the living animals 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 the autonomous movement of the experimental animal, the movement path of the experimental animal recorded by the spatial position recording device is obtained, and at the same time, the first optical fiber signal of the experimental animal recorded by the head-mounted brain imaging device using optical fiber as the transmission medium installed on the head of the experimental animal is obtained;

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

[0010] S3, using the control strategy to control the multi-axis motion mechanism on 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 collecting 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, and the three-dimensional spatial position coordinates of the spatial point marks at each moment are obtained by capturing an image containing spatial point marks and performing position matching on the spatial point marks in the image, as the movement path of the experimental animal. The movement path is a discrete time series of three-dimensional position coordinates, and the spatial point marks 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 the fact that the shooting ranges of the two cameras 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: 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 an optical fiber signal decoupling system for multimode optical fiber 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, and is used to collect a first optical fiber signal of the experimental animal during autonomous movement of the experimental animal, and to collect a second optical fiber signal of the experimental animal during movement of a multi-axis motion mechanism;

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

[0019] A multi-axis motion mechanism, on which the experimental animal is fixed on a stage, 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 motion;

[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, and the three-dimensional spatial position coordinates of the spatial point marks at each moment are obtained by capturing an image containing spatial point marks and performing position matching on the spatial point marks in the image, as the movement path of the experimental animal. The movement path is a discrete time series of three-dimensional position coordinates, and the spatial point marks 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 the shooting ranges of the two cameras 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 operations on the preprocessed signals to obtain a 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, there is provided an electronic device, comprising a memory and a processor, wherein a computer program is stored in the memory, and the method described above is implemented when the processor executes the program.

[0025] According to a fourth aspect of the present invention, there is provided a computer-readable storage medium having a computer program stored thereon, wherein the program implements the method described when executed by a processor.

[0026] Compared with the prior art, the present invention realizes the simulation of the changes in optical fiber state when living experimental animals are in motion by introducing means such as experimental animal motion path recording and motion reproduction, and realizes the decoupling between the changes in optical fiber signals caused by the morphological changes of the multimode optical fiber being pulled by the living animals and the changes in brain signals when the living animals are moving. 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, and 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 setting up the spatial point markers and head-mounted brain imaging device in the present invention;

[0029] Figure 3 A schematic diagram of a process of using a spatial position recording device to record a motion path and simultaneously record a first optical fiber signal in the present invention;

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

[0031] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work 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 comprises 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, and the three-dimensional spatial position coordinates of the spatial point mark at each moment are obtained by shooting an image containing spatial point marks and performing position matching on the spatial point marks in the image, as the movement path of the experimental animal. The movement path is a discrete time series of three-dimensional position coordinates, and the spatial point marks 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.

[0036] 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 according to whether the shooting ranges of the two cameras cover all areas in the entire environment. In this embodiment, a high-speed infrared camera is selected. The spatial position recording device should at least be able to record the spatial translation movement and spatial rotation movement of the experimental animal.

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

[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 attaching 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 time. 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] Use a calibration plate with a known geometric shape (such as a chessboard) to take multiple images of the calibration plate at different angles and positions. Use image processing algorithms to extract feature points (such as corner points) on the calibration plate, and use the pixel coordinates of these feature points in the image and their physical coordinates on the calibration plate to calculate the internal and external parameters of the camera. Common calibration methods include Tsai calibration method, Zhang Zhengyou calibration method, etc.

[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: using the matched feature points, calculate the 3D coordinates of the space point markers.

[0045] Method: Using triangulation and other methods, the coordinates of the spatial point markers in the three-dimensional space are calculated based on the pixel coordinates of the matched feature points in the image and the internal and external parameters of the camera. Commonly used three-dimensional 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 matching feature points.

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

[0048] S15, motion path determination: The three-dimensional coordinates obtained in the above steps and the camera posture are integrated to obtain the accurate position of the spatial point mark 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] According to the physical structure and motion characteristics of the multi-axis motion mechanism, its kinematic model is established. The model should be able to describe the motion relationship between the various axes of the mechanism, as well as the mapping relationship between them and the path. Determine the key parameters in the model, such as the stroke, speed, acceleration, etc. of each axis. These parameters should be selected and adjusted according to the actual application requirements and mechanism performance.

[0053] S22. Control strategy design

[0054] Select the appropriate control algorithm based on the kinematic model and motion path. Common control algorithms include PID control, model predictive control (MPC), adaptive control, etc. The control algorithm is used to generate control signals for each axis based on the preset path and real-time feedback information (such as position, speed, acceleration, etc.). The control signal can be a position command, speed command, or torque command, etc. The specific form depends on the control algorithm and mechanism performance.

[0055] S23, scrolling optimization

[0056] During the control process, a rolling time domain optimization mechanism is used to continuously adjust and optimize the control strategy based on real-time feedback information. This helps to improve the adaptability of the multi-axis motion mechanism to changing environmental conditions and ensure 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 rotation of the loading platform.

[0059] According to the image captured by the spatial position recording device, the spatial position and motion path information of the experimental animal can be obtained after being processed by the corresponding software. The obtained motion path data of the experimental animal is imported into the control system of the multi-axis motion mechanism, where the multi-axis motion mechanism can be a multi-axis displacement table or a motion device such as a multi-axis industrial robot. The experimental animal or animal simulation model equipped with the brain imaging device is fixed on the stage of the multi-axis operating mechanism, and then the axis motion mechanism is commanded to move according to the spatial motion path of the experimental animal recorded before, so as to simulate the optical fiber state of the experimental animal in the original motion state, and at the same time record the second optical fiber signal during the motion.

[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: 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 when it moves after filtering out the optical fiber motion signal. The calculation method of the decoupling operation includes but is not limited to:

[0062] (1) Directly subtract the first optical fiber signal from the second optical fiber signal to obtain a brain imaging signal of the experimental animal during movement with the optical fiber motion signal filtered out.

[0063] (2) Performing Fourier transformation on the first optical fiber signal and the second optical fiber signal to the frequency domain, suppressing the signal of the first optical fiber signal in a specific frequency domain according to the frequency domain characteristics of the second optical fiber signal, and performing inverse Fourier transformation to return to the time domain signal.

[0064] Example 2

[0065] This embodiment provides an optical fiber signal decoupling system for multimode optical fiber 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, and is used to collect a first optical fiber signal of the experimental animal during autonomous movement of the experimental animal, and to collect a second optical fiber signal of the experimental animal during movement of a multi-axis motion mechanism;

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

[0069] A multi-axis motion mechanism, on which the experimental animal is fixed on a stage, 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 motion;

[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 can clearly understand that, for the convenience and brevity of description, the specific working processes of the described modules and devices 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] Multiple components in the device are connected to the I / O interface, including: input units, such as keyboards, mice, etc.; output units, such as various types of displays, speakers, etc.; storage units, such as disks, optical disks, etc.; and communication units, such as network cards, modems, wireless communication transceivers, etc. The communication unit allows the device to exchange information / data with other devices through 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 may 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 may 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 may be performed. Alternatively, in other embodiments, the CPU may be configured to execute methods S1 to S4 in any other appropriate manner (e.g., 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, 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 chips (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. These program codes 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 the program code, when executed by the processor or controller, enables the functions / operations specified in the flow chart and / or block diagram to be implemented. The program code can be executed entirely on the machine, partially on the machine, partially on the machine as a stand-alone software package and partially on a remote machine, or entirely on a remote machine or server.

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

[0079] The above is only a specific embodiment of the present invention, but the protection scope of the present invention is not limited thereto. Any technician familiar with the technical field can easily think of various equivalent modifications or replacements within the technical scope disclosed by the present invention, and these modifications or replacements should be included in the protection scope of the present invention. Therefore, the protection scope of the present invention shall be based on the protection scope 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 the autonomous movement of the experimental animal, the movement path of the experimental animal recorded by the spatial position recording device is obtained, and at the same time, the first optical fiber signal of the experimental animal recorded by the head-mounted brain imaging device using optical fiber as the transmission medium installed on the head of the experimental animal is obtained; S2, generating a control strategy for a multi-axis motion mechanism according to the motion path; S3, using the control strategy to control the multi-axis motion mechanism on 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 collecting 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, and obtains the three-dimensional spatial position coordinates of the spatial point marks at each moment by capturing an image containing spatial point marks and performing position matching on the spatial point marks in the image, as the movement path of the experimental animal. The movement path is a discrete time series of three-dimensional position coordinates, and the spatial point marks 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.

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 according to 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 the step S4, the signal processing of the first optical fiber signal and the second optical fiber signal is specifically: 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. An optical fiber signal decoupling system for multimode optical fiber 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, and is used to collect a first optical fiber signal of the experimental animal during autonomous movement of the experimental animal, and to collect a second optical fiber signal of the experimental animal during movement of a multi-axis motion mechanism; A control strategy generation module, used for generating a control strategy for a multi-axis motion mechanism according to the motion path; A multi-axis motion mechanism, on which the experimental animal is fixed on a stage, 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 motion; 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, and obtains the three-dimensional spatial position coordinates of the spatial point marks at each moment by capturing an image containing spatial point marks and performing position matching on the spatial point marks in the image, as the movement path of the experimental animal. The movement path is a discrete time series of three-dimensional position coordinates, and the spatial point marks 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.

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 according to 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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