Intelligent assessment system for disturbance of consciousness based on electroencephalogram

Abstract

The invention discloses an intelligent disturbance of consciousness assessment system based on electroencephalogram, and relates to the technical field of disturbance of consciousness assessment. Comprising an audio acquisition module, a voice feature extraction module, a voice simulation module, a voice generation module, a speech generation module, a picture acquisition module, a picture generation module, a video generation module, a background setting module, a character model generation module and a character feature extraction module. According to the intelligent assessment system for disturbance of consciousness based on electroencephalogram, pictures and videos are played through the display to stimulate a patient, audios are played through the earphone to stimulate the patient and the tactile sense of the patient, and electroencephalogram signals of the patient in the testing process are collected; the electroencephalogram signals of the patient are analyzed through electroencephalogram signal analysis software, the disturbance of consciousness of the patient is recognized and evaluated according to the electroencephalogram signal analysis result of the patient, and therefore compared with an experimental result obtained through a traditional testing mode, the accuracy and objectivity are higher.

Description

Technical Field

[0001] The present invention relates to the technical field of consciousness disorder assessment, and in particular to an EEG-based consciousness disorder intelligent assessment system. Background Art

[0002] Consciousness refers to an individual's awareness of the external environment, one's own state, and their interconnections. Conscious activity encompasses both arousal and the content of consciousness. Extensive damage to the ascending reticular activating system and the cerebral cortex can lead to varying degrees of impairment in arousal, while changes in the content of consciousness are primarily caused by cerebral cortical lesions. Self-awareness refers to an individual's awareness of their current subjective state. Self-awareness primarily encompasses awareness of existence, agency, unity, unity, and boundaries. Disordered self-awareness occurs when one or more of these aspects are affected to varying degrees, resulting in an inability to correctly understand one's current subjective state. This includes an inability to perceive one's own existence, an inability to recognize oneself as a single, independent individual, an inability to correctly distinguish between the present and past "selves," and a loss of self-direction and control over mental activity. Existing diagnostic methods for disorders of consciousness primarily assess and judge the patient's behavioral manifestations. These methods require specialized testing and assessment by specialized personnel, are highly specialized, and are subject to significant subjective influence by the test-taker, resulting in poor accuracy and objectivity in the test results. Summary of the Invention

[0003] In view of the shortcomings of the existing technology, the present invention provides an EEG-based intelligent assessment system for consciousness disorders, which solves the problems raised in the above-mentioned background technology.

[0004] To achieve the above objectives, the present invention is implemented through the following technical solutions: an EEG-based intelligent assessment system for consciousness disorders, comprising an audio acquisition module, a speech feature extraction module, a speech simulation module, a speech generation module, a picture acquisition module, a picture generation module, a video generation module, a background setting module, a character model generation module, a character feature extraction module, an assessment plan generation module, a visual stimulation module, an auditory stimulation module, an EEG signal acquisition module, an EEG signal receiving module, an EEG signal analysis module, a tactile stimulation module, and a consciousness disorder generation module;

[0005] The audio acquisition module is used to collect the audio data of the person to be simulated, and the implementation method is: recording the voice of the target person through a microphone or other equipment;

[0006] The speech feature extraction module is used to extract the speech features of the person from the collected audio data, analyze the audio data using signal processing technology, and extract features such as pitch, tone, and speaking speed;

[0007] The speech simulation module is used to generate a speech model of the person based on the speech features and to construct a speech synthesis model using a machine learning algorithm;

[0008] The speech generation module is used to generate the text content of the speech to be generated

[0009] The speech generation module is used to input the generated speech text content into the speech model to generate speech data, and generate the target person's speech through a synthesis algorithm;

[0010] The image acquisition module is used to acquire the image of the person to be simulated through a camera or an image library;

[0011] The image generation module is used to construct a model of the person and generate photos based on the model of the person, using image processing technology to generate high-quality simulated pictures;

[0012] The character feature extraction module is used to extract the physical features of the person to be simulated in the picture;

[0013] The character model generation module is used to construct a character model based on the extracted physical features of the person, and use 3D modeling technology to generate a character model that can be used in the video;

[0014] The background setting module is used to construct the content in the video and design the background elements of the video scene, including the shooting location, time, weather, etc.

[0015] The video generation module is used to generate a video based on the constructed video content, combining the character model and background elements to generate a complete video scene;

[0016] The assessment plan generation module is used to construct a test plan for assessing patients' consciousness disorders, integrate the generated photos, videos and audio, and design the assessment content;

[0017] The visual stimulation module is used to play pictures and videos through the display to stimulate the patient, and present the generated videos and pictures to the patient through the display;

[0018] The auditory stimulation module is used to play the generated audio to the patient through headphones to stimulate the patient;

[0019] The tactile stimulation module is used to stimulate the patient's sense of touch and simulate tactile stimulation using a mechanical device;

[0020] The EEG signal acquisition module is used to collect the patient's EEG signals during the test and monitor the patient's EEG activity in real time through devices such as an EEG cap;

[0021] The EEG signal receiving module is used for receiving the collected EEG signals of the patient by the computer and transmitting the EEG signals to the computer for processing;

[0022] The EEG signal analysis module is used to analyze the patient's EEG signals using EEG signal analysis software, process the EEG signals using a data analysis algorithm, and extract relevant features;

[0023] The consciousness disorder generating module is used to identify and evaluate the patient's consciousness disorder based on the analysis results of the patient's EEG signals, and generate a final evaluation report in combination with the analysis results and the evaluation plan.

[0024] Optionally, the background setting module includes a scenario design module, a scenario plan recording module and a scenario plan output module. The scenario design module is used to design the scenario required for the video to be generated; the scenario plan recording module is used to record the generated video scenario; and the scenario plan output module is used to output the recorded video scenario to the video generation module.

[0025] Optionally, the speech generation module includes a scenario design unit and a speech text generation module, wherein the scenario design unit is used to design the audio scenario required for the audio to be generated; and the speech text generation module is used to generate corresponding speech audio text according to the designed audio scenario.

[0026] Optionally, the EEG signal acquisition module is integrated on an EEG cap. When in use, the patient wears the EEG cap, and the EEG cap is connected to a computer via a wire.

[0027] Optionally, when constructing a test plan for assessing a patient's disorder of consciousness through the assessment plan generation module, the generated photos, videos and audios are used to construct the test content, and the test content includes the generated photos, videos and audios.

[0028] Optionally, the video generation module constructs a video scene based on the constructed video content, loads a character model into the video scene, and then generates AI video content.

[0029] Optionally, the visual stimulation module is connected to the computer via a wire when playing pictures and videos on a display, and the auditory stimulation module is connected to the computer via a wire when playing audio through headphones.

[0030] Optionally, the scenario design module designs the scenario required for the video to be generated, and the scenario content includes the shooting location, time, weather, video theme, and video topic. The speech text generation module generates corresponding voice audio text according to the designed audio scenario, and the audio scenario includes audio theme and audio topic.

[0031] Optionally, the tactile stimulation module includes a base, the top of the base is fixedly connected to a first servo motor, the output end of the first servo motor is fixedly connected to a first electric telescopic rod, the telescopic end of the first electric telescopic rod is fixedly connected to a rotating table, the interior of the rotating table is rotatably connected to a connecting block, one side of the rotating table is fixedly connected to a second servo motor, the output end of the second servo motor is fixedly connected to one side of the connecting block, the other end of the connecting block is fixedly connected to a second electric telescopic rod, the telescopic end of the second electric telescopic rod is fixedly connected to a third servo motor, and the output end of the third servo motor is fixedly connected to a connecting plate. One side of the connecting plate is fixedly connected to a fixing plate, one side of the fixing plate is fixedly connected to a fourth servo motor, an output end of the fourth servo motor is fixedly connected to a rotating disk, one side of the rotating disk is fixedly connected to a third electric telescopic rod, the telescopic end of the third electric telescopic rod extends to the other side of the rotating disk and is fixedly connected to a first mounting platform, a fine needle is installed inside the first mounting platform, one side of the rotating disk located on the side of the fourth servo motor is fixedly connected to a fourth electric telescopic rod, the telescopic end of the fourth electric telescopic rod extends to the other side of the rotating disk and is fixedly connected to a second mounting platform, and a feather is installed inside the second mounting platform.

[0032] The present invention provides an EEG-based intelligent assessment system for impaired consciousness, which has the following beneficial effects:

[0033] 1. This EEG-based intelligent assessment system for consciousness disorders stimulates patients by playing pictures and videos on a display, playing audio through headphones, and stimulating patients' sense of touch. It collects patients' EEG signals during the test, analyzes the patients' EEG signals through EEG signal analysis software, and identifies and assesses patients' consciousness disorders based on the results of the EEG signal analysis. This system is more accurate and objective than experimental results obtained by traditional testing methods.

[0034] 2. The EEG-based intelligent assessment system for consciousness disorders collects photos and audio of the patient's relatives, extracts the voice features of the person from the collected audio data, generates a voice model of the deceased relative based on the voice features, generates text content of the voice to be generated, inputs the generated voice text content into the voice model, generates audio, extracts the physical features of the person to be simulated in the picture, builds a character model based on the extracted physical features of the person, generates photos based on the model of the person, designs the scenario required for the video to be generated, builds a video scene based on the constructed video content, loads the character model in the video scene, and then generates AI video content, constructs a test plan for assessing patients' consciousness disorders, and can generate AI photos, videos and audio when the number of existing photos, videos and audio of deceased relatives is small, so as to use the photos, videos and audio of deceased relatives to stimulate patients, so as to collect the patient's EEG signal analysis results to identify and assess the patient's consciousness disorder. BRIEF DESCRIPTION OF THE DRAWINGS

[0035] Figure 1 Schematic diagram of the system structure of the present invention;

[0036] Figure 2 A schematic diagram of the module structure is provided for the background of the present invention;

[0037] Figure 3 This is a structural diagram of the speech generation module of the present invention;

[0038] Figure 4 This is a structural diagram of the tactile stimulation module of the present invention.

[0039] In the figure: 1. Audio acquisition module; 2. Speech feature extraction module; 3. Speech simulation module; 4. Speech generation module; 5. Speech generation module; 6. Image acquisition module; 7. Image generation module; 8. Video generation module; 9. Background setting module; 10. Character model generation module; 11. Character feature extraction module; 12. Evaluation plan generation module; 13. Visual stimulation module; 14. Auditory stimulation module; 15. EEG signal acquisition module; 16. EEG signal receiving module; 17. EEG signal analysis module; 18. Consciousness disorder generation module; 19. Scenario design module; 20. Scenario Scenario recording module; 21. Scenario scenario output module; 22. Scenario design unit; 23. Speech text generation module; 24. Tactile stimulation module; 25. Base; 26. First servo motor; 27. First electric telescopic rod; 28. Second servo motor; 29. ​​Turntable; 30. Connecting block; 31. Second electric telescopic rod; 32. Third servo motor; 33. Connecting plate; 34. Fixing plate; 35. Fourth servo motor; 36. Turntable; 37. Third electric telescopic rod; 38. First mounting platform; 39. Fine needle; 40. Fourth electric telescopic rod; 41. Second mounting platform; 42. Feather. DETAILED DESCRIPTION

[0040] The technical solutions in the embodiments of the present invention will be clearly and completely described below in conjunction with the drawings in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, rather than all the embodiments.

[0041] See also Figures 1 to 4 The present invention provides a technical solution: an EEG-based intelligent assessment system for consciousness disorders, comprising an audio acquisition module 1, a speech feature extraction module 2, a speech simulation module 3, a speech generation module 4, a speech generation module 5, a picture acquisition module 6, a picture generation module 7, a video generation module 8, a background setting module 9, a character model generation module 10, a character feature extraction module 11, an assessment plan generation module 12, a visual stimulation module 13, an auditory stimulation module 14, an EEG signal acquisition module 15, an EEG signal receiving module 16, an EEG signal analysis module 17, a tactile stimulation module 24, and a consciousness disorder generation module 18;

[0042] Audio acquisition module 1, used to collect audio data of the person to be simulated;

[0043] Speech feature extraction module 2, used to extract the speech features of the person from the collected audio data;

[0044] Speech simulation module 3, used to generate a speech model of the person according to speech features;

[0045] Speech generation module 5, used to generate text content of the speech to be generated;

[0046] The speech generation module 4 is used to input the generated speech text content into the speech model to generate speech data;

[0047] Image acquisition module 6 is used to acquire images of people to be simulated, collect photos of deceased relatives, ensure that the images are from multiple angles and with multiple expressions, and use a high-resolution camera to ensure image quality;

[0048] Image generation module 7, used to build a character model based on the acquired image, using 3D modeling software (such as Blender) to generate the model, and the generated model can be used for subsequent video generation;

[0049] The character feature extraction module 11 is used to extract the physical features of the person to be simulated in the picture;

[0050] A character model generation module 10 is used to construct a character model based on the extracted physical features of the person;

[0051] Background setting module 9, used to construct the content in the video;

[0052] Video generation module 8, used to generate AI video content based on the constructed scene and character model, and use animation software (such as Adobe After Effects) to synthesize the video to simulate the movements and expressions of relatives;

[0053] An assessment scheme generating module 12 is used to construct a test scheme for assessing the patient's disorder of consciousness;

[0054] The visual stimulation module 13 is used to stimulate the patient by playing pictures and videos on the display;

[0055] The auditory stimulation module 14 is used to play natural environmental sounds, the voices of relatives and the patient's own voice through headphones to stimulate hearing, design different audio scenes, and enhance the patient's emotional response;

[0056] a tactile stimulation module 24 for designing a tactile stimulation device that gently stimulates the patient's skin with a fine needle or feather, and controls the intensity and frequency of the stimulation with a servo motor to provide a personalized tactile experience;

[0057] The EEG signal acquisition module 15 is used to collect the patient's EEG signals during the test;

[0058] The EEG signal receiving module 16 is used to transmit the collected EEG signals to the computer for processing in real time to ensure the stability and accuracy of signal transmission;

[0059] An EEG signal analysis module 17 is used to analyze the patient's EEG signals using EEG signal analysis software;

[0060] The consciousness disorder generating module 18 is used to identify and evaluate the patient's consciousness disorder based on the analysis results of the patient's EEG signals.

[0061] Furthermore, those skilled in the art will appreciate that the background setting module 9 includes a scenario design module 19, a scenario plan recording module 20, and a scenario plan output module 21. The scenario design module 19 is used to design the scenario required for the video to be generated; the scenario plan recording module 20 is used to record the generated video scenario; and the scenario plan output module 21 is used to output the recorded video scenario to the video generation module 8 so that a video of a deceased relative can be simulated.

[0062] Furthermore, those skilled in the art will appreciate that the speech generation module 5 includes a scenario design unit 22 and a speech text generation module 23. The scenario design unit 22 is used to design the audio scenario required for the audio to be generated; the speech text generation module 23 is used to generate corresponding voice audio text according to the designed audio scenario, thereby simulating the audio of deceased relatives.

[0063] Furthermore, those skilled in the art will appreciate that the EEG signal acquisition module 15 is integrated into an EEG cap. When in use, the patient wears the EEG cap, and the EEG cap is connected to a computer via a wire.

[0064] Furthermore, those skilled in the art will appreciate that when constructing a test plan for assessing a patient's disorder of consciousness through the assessment plan generation module 12, the generated photos, videos, and audios are used to construct the test content, which includes the generated photos, videos, and audios.

[0065] Furthermore, those skilled in the art will appreciate that the video generation module 8 constructs a video scene based on the constructed video content, loads a character model into the video scene, and then generates AI video content.

[0066] Furthermore, those skilled in the art will appreciate that when the visual stimulation module 13 uses a display to play pictures and videos, it is connected to the computer via a wire, and when the auditory stimulation module 14 plays audio through headphones, it is connected to the computer via a wire.

[0067] Furthermore, those skilled in the art will appreciate that the scenario design module 19 designs the scenario required for the video to be generated, and the scenario content includes the shooting location, time, weather, video theme, and video topic. The speech text generation module 23 generates corresponding voice audio text based on the designed audio scenario, and the audio scenario includes the audio theme and audio topic.

[0068] Furthermore, those skilled in the art will appreciate that the tactile stimulation module 24 includes a base 25, a first servo motor 26 is fixedly connected to the top of the base 25, an output end of the first servo motor 26 is fixedly connected to a first electric telescopic rod 27, a telescopic end of the first electric telescopic rod 27 is fixedly connected to a rotating table 29, a connecting block 30 is rotatably connected inside the rotating table 29, a second servo motor 28 is fixedly connected to one side of the connecting block 30 on one side of the rotating table 29, a second electric telescopic rod 31 is fixedly connected to the other end of the connecting block 30, and a third electric telescopic rod 31 is fixedly connected to the telescopic end of the second electric telescopic rod 31. The output end of the servo motor 32 is fixedly connected to a connecting plate 33, one side of the connecting plate 33 is fixedly connected to a fixing plate 34, one side of the fixing plate 34 is fixedly connected to a fourth servo motor 35, the output end of the fourth servo motor 35 is fixedly connected to a rotating disk 36, one side of the rotating disk 36 is fixedly connected to a third electric telescopic rod 37, the telescopic end of the third electric telescopic rod 37 extends to the other side of the rotating disk 36 and is fixedly connected to a first mounting platform 38, a fine needle 39 is installed inside the first mounting platform 38, one side of the rotating disk 36 is fixedly connected to a fourth electric telescopic rod 40 on the side of the fourth servo motor 35, The telescopic end of the electric telescopic rod 40 extends to the other side of the rotating disk 36 and is fixedly connected to the second mounting platform 41. A feather 42 is installed inside the second mounting platform 41. When in use, the tactile stimulation module 24 is moved to the side of the patient, and then the output end of the first servo motor 26 drives the first electric telescopic rod 27 to rotate, and the telescopic end of the first electric telescopic rod 27 drives the rotating platform 29 to move, and the output end of the second servo motor 28 drives the connecting block 30 to rotate, thereby driving the second electric telescopic rod 31 to rotate through the connecting block 30, so that the telescopic end of the second electric telescopic rod 31 drives the third servo motor 32 to move, and the third servo motor 28 drives the connecting block 30 to rotate. The output end of the servo motor 32 drives the connecting plate 33 to rotate, thereby gently sliding the fine needle 39 on the surface of the patient's skin. When the feather 42 is needed, the telescopic end of the third electric telescopic rod 37 drives the first mounting platform 38 and the fine needle 39 to move, and then the telescopic end of the fourth electric telescopic rod 40 pushes the second mounting platform 41 and the feather 42 to move to the working state. Then the output end of the fourth servo motor 35 drives the rotating disk 36 to rotate, and the Shudie rotating disk 36 drives the feather 42 to move to the working position through the fourth electric telescopic rod 40 and the second mounting platform 41, so that the feather 42 gently slides on the surface of the patient's skin to perform a tactile test on the patient.

[0069] Example 1: Assessing a patient's state of consciousness

[0070] The audio acquisition module 1 can be used to collect audio data of the patient's relatives, such as voice in recordings or videos, and use a high-quality microphone to record to ensure audio clarity. Then, the voice feature extraction module 2 applies voice recognition technology to extract voice features such as pitch, speaking speed and emotional features from the collected audio. The voice simulation module 3 can be used to generate a voice model of the person based on the extracted voice features, and a deep learning model (such as WaveNet) can be used to generate natural voice. The visual stimulation module 13 can be used to display photos and videos of the patient's relatives to stimulate the patient's visual perception. Various scenarios can be designed, such as family gatherings, travel, etc., to enhance emotional resonance. The EEG signal acquisition module 15 can be used to generate a voice model of the person based on the extracted voice features.

[0071] The patient wears an EEG cap to collect EEG signals in real time. High-precision EEG equipment (such as Emotiv or NeuroSky) is used to collect signals. The EEG signal analysis module 17 processes the collected signals with EEG signal analysis software (such as EEGLAB). The consciousness disorder generation module 18 then evaluates the patient's degree of consciousness disorder based on the analysis results.

[0072] Generate an assessment report and provide it to doctors and family members;

[0073] Example 2: Simulating the sound and image of deceased relatives: Through the picture acquisition module 6, collect photos of deceased relatives, ensure that the pictures are from multiple angles and with multiple expressions, and use a high-resolution camera to shoot to ensure image quality; through the picture generation module 7, build a character model based on the acquired pictures, use 3D modeling software (such as Blender) to generate the model, and the generated model can be used for subsequent video generation. Through the video generation module 8, generate AI video content based on the constructed scene and character model, use animation software (such as Adobe After Effects) to synthesize the video, simulate the movements and expressions of relatives, and through the tactile stimulation module 24, design a tactile stimulation device, gently stimulate the patient's skin with a fine needle or feather, and control the intensity and frequency of the stimulation with a servo motor to provide a personalized tactile experience. Through the evaluation plan generation module 12, design evaluation content for the integrated generated photos, videos and audio, and the generated test plan includes 30 photos, 15 audio clips and 9 video clips to ensure diversity.

[0074] Example 3: Comprehensive evaluation and feedback: Through the auditory stimulation module 14, use headphones to play natural environmental sounds, the voices of relatives and the patient's own voice to stimulate hearing, design different audio scenes, and enhance the patient's emotional response. The collected EEG signals can be transmitted to the computer in real time for processing through the EEG signal receiving module 16 to ensure the stability and accuracy of signal transmission.

[0075] Comprehensive assessment: Combine visual, auditory, and tactile stimulation to comprehensively assess the patient's state of consciousness. Through data analysis, a comprehensive assessment report is generated and provided to the medical team.

[0076] Example 3:

[0077] This invention provides an EEG-based intelligent assessment system for impaired consciousness. Its primary contribution lies in accurately identifying and assessing patients' impaired consciousness through the real-time collection and analysis of EEG signals using multiple sensory stimuli (visual, auditory, and tactile). Compared to traditional assessment methods, this system not only improves the objectivity and accuracy of assessments but also utilizes artificial intelligence technology to generate appropriate stimulation content when audio and video footage of family members is limited, thereby better meeting the individual needs of patients.

[0078] In the future, the application of this system can be expanded to the following aspects:

[0079] Clinical application: Promote its use in hospitals and rehabilitation centers to help doctors better assess patients' state of consciousness and develop personalized treatment plans.

[0080] Research areas: Providing new tools for neuroscience and psychology research to help researchers gain a deeper understanding of the mechanisms of consciousness disorders and their relationship with brain electrical activity.

[0081] Home care: Develop a portable version to facilitate home caregivers to monitor and assess the patient's state of consciousness at home.

[0082] Technological improvements: With the development of artificial intelligence and machine learning technologies, EEG signal analysis algorithms can be further optimized in the future to improve the accuracy and efficiency of assessments.

[0083] Multimodal fusion: Explore the integration of other physiological signals (such as heart rate, galvanic skin response, etc.) with EEG signals to form a more comprehensive evaluation system.

[0084] Through continuous technological innovation and application expansion, this invention is expected to play a greater role in the field of consciousness disorder assessment and improve the quality of life of patients.

[0085] The test plan may include: 30 photos of people from different time periods; including: 10 photos of strangers, 10 photos of relatives, and 10 photos of the subject himself; 15 audio clips, including 5 natural sound audio clips, 5 self-audio clips, and 5 audio clips of the subject himself; 9 videos, including 3 natural environment videos, 3 videos of relatives, and 3 videos of the subject himself.

[0086] The above description is only a preferred specific embodiment of the present invention, but the scope of protection of the present invention is not limited thereto. Any technician familiar with the technical field, within the technical scope disclosed by the present invention, who makes equivalent replacements or changes based on the technical solution and inventive concept of the present invention, should be covered by the scope of protection of the present invention.

Claims

1. An EEG-based intelligent assessment system for consciousness disorders, characterized in that: It comprises an audio acquisition module (1), a speech feature extraction module (2), a speech simulation module (3), a speech generation module (4), a speech generation module (5), an image acquisition module (6), an image generation module (7), a video generation module (8), a background setting module (9), a character model generation module (10), a character feature extraction module (11), an evaluation scheme generation module (12), a visual stimulation module (13), an auditory stimulation module (14), an electroencephalogram signal acquisition module (15), an electroencephalogram signal receiving module (16), an electroencephalogram signal analysis module (17), a tactile stimulation module (24) and a consciousness disorder generation module (18); The audio acquisition module (1) is used to collect audio data of the person to be simulated; The speech feature extraction module (2) is used to extract the speech features of the person from the collected audio data; The speech simulation module (3) is used to generate a speech model of the person according to the speech features; The speech generation module (5) is used to generate text content of the speech to be generated; The speech generation module (4) is used to input the generated speech text content into the speech model to generate speech data; The picture acquisition module (6) is used to acquire the picture of the person to be simulated; The picture generation module (7) is used to construct a model of the person and generate a photo based on the model of the person; The character feature extraction module (11) is used to extract the physical features of the person to be simulated in the picture; The character model generation module (10) is used to construct a character model according to the extracted physical features of the person; The background setting module (9) is used to construct the content in the video; The video generation module (8) is used to generate a video according to the constructed video content; The evaluation scheme generating module (12) is used to construct a test scheme for evaluating the patient's consciousness disorder; The visual stimulation module (13) is used to stimulate the patient by playing pictures and videos on a display; The auditory stimulation module (14) is used to play audio through headphones to stimulate the patient; The tactile stimulation module (24) is used to stimulate the patient's sense of touch; The EEG signal acquisition module (15) is used to acquire the EEG signals of the patient during the test; The EEG signal receiving module (16) is used for the computer to receive the collected EEG signals of the patient; The EEG signal analysis module (17) is used to analyze the patient's EEG signals using EEG signal analysis software; The consciousness disorder generating module (18) is used to identify and evaluate the patient's consciousness disorder based on the analysis results of the patient's electroencephalogram signals.

2. The EEG-based consciousness disorder intelligent assessment system according to claim 1, characterized in that: The background setting module (9) comprises a scenario design module (19), a scenario plan recording module (20) and a scenario plan output module (21), wherein the scenario design module (19) is used to design the scenario required for the video to be generated; The scenario recording module (20) is used to record the generated video scenario; the scenario output module (21) is used to output the recorded video scenario to the inside of the video generation module (8).

3. The EEG-based consciousness disorder intelligent assessment system according to claim 2, characterized in that: The speech generation module (5) comprises a scenario design unit (22) and a speech text generation module (23), wherein the scenario design unit (22) is used to design an audio scenario required for the audio to be generated; and the speech text generation module (23) is used to generate a corresponding speech audio text according to the designed audio scenario.

4. The EEG-based consciousness disorder intelligent assessment system according to claim 1, characterized in that: The electroencephalogram signal acquisition module (15) is integrated on an electroencephalogram cap. When in use, the patient wears the electroencephalogram cap, and the electroencephalogram cap is connected to a computer via a wire.

5. The EEG-based consciousness disorder intelligent assessment system according to claim 1, characterized in that: When constructing a test scheme for assessing a patient's disorder of consciousness through the assessment scheme generating module (12), the generated photos, videos and audios are used to construct the test content, and the test content includes the generated photos, videos and audios.

6. The EEG-based consciousness disorder intelligent assessment system according to claim 1, characterized in that: The video generation module (8) constructs a video scene according to the constructed video content, loads a character model into the video scene, and then generates AI video content.

7. The EEG-based consciousness disorder intelligent assessment system according to claim 1, characterized in that: When the visual stimulation module (13) uses a display to play pictures and videos, it is connected to the computer through a wire. When the auditory stimulation module (14) uses headphones to play audio, it is connected to the computer through a wire.

8. The EEG-based consciousness disorder intelligent assessment system according to claim 3, characterized in that: The scenario design module (19) designs the scenario required for the video to be generated, wherein the scenario content includes the shooting location, time, weather, video theme, and video topic. The speech text generation module (23) generates corresponding speech audio text according to the designed audio scenario, wherein the audio scenario includes the audio theme and audio topic.

9. The EEG-based consciousness disorder intelligent assessment system according to claim 1, characterized in that: The tactile stimulation module (24) comprises a base (25), the top of the base (25) is fixedly connected to a first servo motor (26), the output end of the first servo motor (26) is fixedly connected to a first electric telescopic rod (27), the telescopic end of the first electric telescopic rod (27) is fixedly connected to a rotating table (29), the interior of the rotating table (29) is rotatably connected to a connecting block (30), one side of the rotating table (29) is fixedly connected to a second servo motor (28), the output end of the second servo motor (28) is fixedly connected to one side of the connecting block (30), the other end of the connecting block (30) is fixedly connected to a second electric telescopic rod (31), the telescopic end of the second electric telescopic rod (31) is fixedly connected to a third servo motor (32), the output end of the third servo motor (32) is fixedly connected to a connecting plate (33), the connecting plate (33) is fixedly connected to the connecting plate (33), and the connecting plate (33) is fixedly connected to the connecting plate (33). A fixed plate (34) is fixedly connected to one side of the plate (33), a fourth servo motor (35) is fixedly connected to one side of the fixed plate (34), an output end of the fourth servo motor (35) is fixedly connected to a rotating disk (36), a third electric telescopic rod (37) is fixedly connected to one side of the rotating disk (36), a telescopic end of the third electric telescopic rod (37) extends to the other side of the rotating disk (36) and is fixedly connected to a first mounting platform (38), a fine needle (39) is installed inside the first mounting platform (38), a fourth electric telescopic rod (40) is fixedly connected to one side of the rotating disk (36) located on the side of the fourth servo motor (35), a telescopic end of the fourth electric telescopic rod (40) extends to the other side of the rotating disk (36) and is fixedly connected to a second mounting platform (41), a feather (42) is installed inside the second mounting platform (41).

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