A method for calculating the degree of impaired consciousness by tracking eye movements.
By tracking the patient's gaze trajectory and eye movement data, and utilizing infrared eye-tracking technology and pre-built models, the degree of consciousness impairment is objectively assessed, solving the problem of inconsistent assessment results in existing technologies and achieving a more accurate assessment of consciousness impairment.
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- SHANGHAI YUJIXIANG HEALTH MANAGEMENT CO LTD
- Filing Date
- 2026-03-27
- Publication Date
- 2026-06-30
AI Technical Summary
Current technologies for assessing the degree of consciousness impairment suffer from weak objectivity and low accuracy, especially when using the CRS-R scale, where different doctors may have significantly different assessment results.
By tracking the patient's gaze trajectory and the time taken for the gaze to move on a moving light point on a screen, an infrared eye-tracking module is used to monitor eye position and movement data, calculate trajectory overlap and movement delay, and combine this with a pre-built model for calculating the degree of consciousness impairment to objectively assess the patient's level of consciousness impairment.
It improves the accuracy and objectivity of assessing the degree of consciousness impairment and reduces the subjective differences in assessment results.
Smart Images
Figure CN122296891A_ABST
Abstract
Description
Technical Field
[0001] This application relates to the technical field of detecting the degree of impaired consciousness, and more specifically to a method for calculating the degree of impaired consciousness by tracking eye movement trajectories. Background Technology
[0002] Currently, the Coma Recovery Scale-Revised (CRS-R) is the standard clinical scale for assessing the degree of consciousness impairment in clinical practice. This scale is the current standard for the examination and assessment of chronic disorders of consciousness (pDoC), capable of assessing the state of consciousness in DoC patients, especially differentiating between vegetative state (VS) and minimally conscious state (MCS). However, the CRS-R scale for assessing consciousness impairment has a degree of subjectivity. Different physicians often provide significantly different assessment results for the same subject. Therefore, current technology suffers from weak objectivity and low accuracy in assessing the degree of consciousness impairment. Summary of the Invention
[0003] The purpose of this application is to overcome the shortcomings and deficiencies in the prior art and provide a method for calculating the degree of consciousness impairment by tracking the trajectory of eye movements. This method can combine eye movement responses to objectively calculate the degree of consciousness impairment in patients, thereby improving the accuracy and objectivity of the assessment of the degree of consciousness impairment.
[0004] A first aspect of this application provides a method for calculating the degree of impaired consciousness by tracking eye movement trajectories, including:
[0005] Collect the patient's gaze trajectory and the time taken for the gaze to move on the moving light point on the screen;
[0006] The degree of trajectory overlap is obtained based on the overlapping area between the movement trajectory of the moving light point and the line of sight trajectory;
[0007] The movement delay is obtained based on the time taken for the line of sight to move and the time taken for the bright spot to move.
[0008] The degree of consciousness impairment of the patient is obtained based on the pre-constructed model for calculating the degree of consciousness impairment, the trajectory overlap, and the movement delay.
[0009] As one implementation method, the steps of collecting the patient's gaze trajectory and the time taken for gaze movement on a screen include:
[0010] The infrared eye-tracking module monitors the position and movement data of the patient's eyes when they look at a moving light spot on the screen.
[0011] The position and movement data of the eyeballs are converted into the coordinates of the gaze focus on the screen;
[0012] The gaze trajectory and the time taken to move the gaze are obtained by sorting the coordinates of the gaze focus corresponding to the position of the eyeball and the acquisition time of the movement data.
[0013] As one implementation method, the step of obtaining the trajectory overlap degree based on the overlapping area of the movement trajectory of the moving light point and the line-of-sight trajectory includes:
[0014] The first trajectory coverage area is obtained based on the pixel points of the screen corresponding to the movement trajectory of the moving light point;
[0015] Based on the pixels on the screen corresponding to the gaze trajectory, obtain the second trajectory coverage area;
[0016] The trajectory overlap is obtained based on the overlapping area of the first trajectory coverage area and the second trajectory coverage area.
[0017] As one implementation method, the step of obtaining the trajectory overlap degree based on the ratio of the third trajectory coverage area to the first trajectory coverage area includes:
[0018] The overlap of the trajectories can be obtained using the following formula:
[0019]
[0020] in, The degree of overlap of the trajectories. The area covered by the third trajectory is the region area. The area covered by the first trajectory is denoted as .
[0021] As one implementation, after obtaining the trajectory overlap degree based on the ratio of the third trajectory coverage area to the first trajectory coverage area, the method further includes the following steps:
[0022] If the trajectory overlap is 100% and the area covered by the third trajectory is smaller than the area covered by the second trajectory, the gaze trajectory is determined to be invalid, and the gaze trajectory and gaze movement time of the moving light point on the patient's gaze tracking screen are re-acquired.
[0023] As one implementation method, the step of obtaining the movement delay based on the line-of-sight movement time and the bright spot movement time of the moving light point includes:
[0024] Obtain the time difference between the time taken for the line of sight to move and the time taken for the bright spot to move; The movement delay is obtained based on the time difference and the movement time of the bright spot.
[0025] As one implementation method, the step of obtaining the movement delay based on the time difference and the movement time of the bright spot includes:
[0026] The movement delay is obtained using the following formula:
[0027]
[0028] in, For the movement delay, The time difference is... The time taken to move the highlighted area.
[0029] As one implementation method, before obtaining the time difference between the time taken for the gaze movement and the time taken for the bright spot to move, the following steps are also included:
[0030] Compare the time taken for the line of sight to move with the time taken for the bright spot to move;
[0031] If the time taken for the gaze movement is less than the time taken for the bright spot to move, the gaze movement time is determined to be invalid, and the gaze trajectory and gaze movement time of the patient's gaze tracking the moving light spot on the screen are re-acquired.
[0032] If the time taken for the line of sight to move is greater than or equal to the time taken for the bright spot to move, the time difference is obtained.
[0033] As one implementation method, the step of obtaining the patient's level of consciousness impairment based on a pre-constructed model for calculating the degree of consciousness impairment, the trajectory overlap, and the movement delay includes:
[0034] The degree of impaired consciousness is obtained using the following formula:
[0035]
[0036] in, The degree of impaired consciousness, The degree of overlap of the trajectories. For the movement delay, As the first weight, This is the second weight.
[0037] Compared to related technologies, this application collects the patient's gaze trajectory and the time taken for the gaze to move on a moving light point on a screen. Based on the overlapping area between the moving light point's trajectory and the gaze trajectory, it obtains the trajectory overlap degree; based on the gaze movement time and the bright spot movement time of the moving light point, it obtains the movement delay; then, through a pre-constructed model for calculating the degree of consciousness impairment, it obtains the degree of consciousness impairment reflected by the trajectory overlap degree and the movement delay. This allows for an objective calculation of the patient's degree of consciousness impairment by combining eye movement responses, thus improving the accuracy and objectivity of the assessment of the degree of consciousness impairment.
[0038] To provide a clearer understanding of this application, the specific embodiments of this application will be described below in conjunction with the accompanying drawings. Attached Figure Description
[0040] Figure 1 This is a flowchart illustrating a method for calculating the degree of consciousness impairment by tracking eye movement trajectories, according to one embodiment of this application.
[0041] Figure 2 This is a schematic diagram illustrating data collection via an infrared eye-tracking module according to an embodiment of this application.
[0042] Figure 3 This is a schematic diagram of the overlapping area of the trajectory coverage region according to an embodiment of this application. Detailed Implementation
[0044] To make the objectives, technical solutions, and advantages of this application clearer, the embodiments of this application will be described in further detail below with reference to the accompanying drawings.
[0045] It should be understood that the described embodiments are merely some, not all, of the embodiments of this application. All other embodiments obtained by those skilled in the art based on the embodiments of this application without creative effort are within the scope of protection of the embodiments of this application.
[0046] In the following description, when referring to the accompanying drawings, unless otherwise indicated, the same numbers in different drawings represent the same or similar elements. In the description of this application, it should be understood that the terms "first," "second," "third," etc., are used only to distinguish similar objects and are not necessarily used to describe a specific order or sequence, nor should they be construed as indicating or implying relative importance. Those skilled in the art can understand the specific meaning of the above terms in this application according to the specific circumstances. The singular forms "a," "the," and "the" used in this application and the appended claims are also intended to include the plural forms, unless the context clearly indicates otherwise. The word "if" as used herein can be interpreted as "when," "when," or "in response to determination."
[0047] Furthermore, in the description of this application, unless otherwise stated, "multiple" means two or more. "And / or" describes the relationship between related objects, indicating that three relationships can exist. For example, A and / or B can represent: A alone, A and B simultaneously, or B alone. The character " / " generally indicates that the preceding and following related objects have an "or" relationship.
[0048] Please see Figure 1 This is a flowchart of a method for calculating the degree of consciousness impairment by tracking eye movement trajectories according to the first embodiment of this application. The method includes:
[0049] S1: Collect the patient's gaze trajectory and the time taken for the gaze to move on the moving light point on the screen;
[0050] Please see Figure 2 Step S1 includes:
[0051] S11: The infrared eye-tracking module monitors the position and movement data of the patient's eyes when they gaze at a moving light spot on the screen.
[0052] The movement path of the moving light spot on the display screen is randomly generated by the screen's display program, and the movement path includes straight lines, turns, bends, etc.
[0053] The infrared eye-tracking module uses infrared eye-tracking technology to measure the position and movement of the eyeball. The basic principle of infrared eye-tracking technology is to use the characteristics of infrared light to measure the position and movement of the eyeball. Infrared eye-tracking technology can provide a variety of eye movement parameters, including fixation point, saccade path, fixation duration, etc.
[0054] The relationship between eye movements and the brain is characterized by a high degree of correlation between multi-brain region coordinated control and cognitive function. Eye movements are jointly regulated by regions such as the frontal ophthalmospheric area (FEF), parietal cortex, basal ganglia, and cerebellum, and are closely related to higher cognitive functions such as attention, memory, and decision-making. Therefore, the position and movement data of the eyes when a patient gazes at a moving light spot on a screen can be used to objectively calculate the degree of the patient's consciousness impairment.
[0055] In order to prevent display delays caused by hardware-related moving light spots on the display screen, the infrared eye-tracking module is also equipped with an image acquisition unit for monitoring moving light spots displayed on the display screen, so as to more objectively and accurately acquire the display path and display time of the moving light spots.
[0056] S12: Convert the position and movement data of the eyeballs into the coordinates of the gaze focus on the screen;
[0057] Specifically, when the eyeball moves, the eye muscles control the position and size of the pupil, ensuring that light is accurately focused on the retina. At this time, an infrared light source illuminates the eyeball, generating a corneal reflection point. A high-speed camera then captures the relative position of the pupil center and the corneal reflection point. A pre-calibrated first mapping model is used to convert the vector change into the gaze direction. Extending along the gaze direction, the focal point between the gaze direction and the screen coordinates is obtained as the gaze focus coordinates. In other embodiments, a pre-calibrated second mapping model can also be used to directly convert the vector change into the gaze focus coordinates on the screen.
[0058] S13: Sort the coordinates of the gaze focus according to the position of the eyeball and the acquisition time of the movement data to obtain the gaze trajectory and the time taken for gaze movement.
[0059] For example, part of the movement path of the moving light point on the screen is from pixel A to pixel B in a straight line. According to the acquisition time, the coordinates of the gaze focus as it follows the moving light point from pixel A to pixel B can be obtained. Combining the order of the gaze focus coordinates, the gaze trajectory corresponding to this part of the movement path can be obtained. The time taken for the gaze trajectory corresponding to this part of the movement path is the gaze movement time.
[0060] S2: Obtain the trajectory overlap ratio based on the overlapping area of the moving light spot's trajectory and the line-of-sight trajectory;
[0061] Step S2 includes:
[0062] S21: Obtain the first trajectory coverage area based on the pixels of the screen corresponding to the movement trajectory of the moving light point;
[0063] S22: Obtain the second trajectory coverage area based on the pixels of the screen corresponding to the gaze trajectory;
[0064] S23: Obtain the trajectory overlap degree based on the overlapping area of the first trajectory coverage area and the second trajectory coverage area.
[0065] S3: Obtain the movement delay based on the time taken for the line of sight to move and the time taken for the bright spot to move;
[0066] Step S3 includes:
[0067] S31: Obtain the time difference between the time taken for the line of sight to move and the time taken for the bright spot to move;
[0068] The time difference is shown in the following formula:
[0069]
[0070] in, For the time difference, The time taken for the line of sight to move. The time taken to move the highlighted area.
[0071] S32: Obtain the movement delay based on the time difference and the movement time of the bright spot.
[0072] S4: Obtain the patient's level of consciousness impairment based on the pre-constructed model for calculating the degree of consciousness impairment, the trajectory overlap, and the movement delay.
[0073] Compared to related technologies, this application collects the patient's gaze trajectory and the time taken for the gaze to move on a moving light point on a screen. Based on the overlapping area between the moving light point's trajectory and the gaze trajectory, it obtains the trajectory overlap degree; based on the gaze movement time and the bright spot movement time of the moving light point, it obtains the movement delay; then, through a pre-constructed model for calculating the degree of consciousness impairment, it obtains the degree of consciousness impairment reflected by the trajectory overlap degree and the movement delay. This allows for an objective calculation of the patient's degree of consciousness impairment by combining eye movement responses, thus improving the accuracy and objectivity of the assessment of the degree of consciousness impairment.
[0074] In a feasible embodiment, S23: the step of obtaining the trajectory overlap degree based on the overlapping area of the first trajectory coverage area and the second trajectory coverage area includes:
[0075] S231: The overlapping area of the first trajectory coverage area and the second trajectory coverage area is determined as the third trajectory coverage area;
[0076] S232: Obtain the trajectory overlap ratio based on the ratio of the third trajectory coverage area to the first trajectory coverage area.
[0077] Please see Figure 3 When a moving light point moves on the screen, it will have an actual trajectory. This trajectory can be regarded as a number of pixels that are lit up in sequence on the screen when the light point moves. The pixel area composed of these pixels is the first trajectory coverage area W1. Similarly, when the focus of the gaze follows the movement of the light point, a trajectory will also be formed. The pixel area corresponding to this trajectory is the second trajectory coverage area W2. The overlapping area of the first trajectory coverage area W1 and the second trajectory coverage area W2 is the third trajectory coverage area W3.
[0078] At this point, the area corresponding to the region W1 covered by the first trajectory is: The area corresponding to the region W2 covered by the second trajectory is The area corresponding to the region W3 covered by the third trajectory is The trajectory overlap degree is the area of the region. With area The ratio of .
[0079] In a feasible embodiment, S232: the step of obtaining the trajectory overlap degree based on the ratio of the third trajectory coverage area to the first trajectory coverage area includes:
[0080] The overlap of the trajectories can be obtained using the following formula:
[0081]
[0082] in, The degree of overlap of the trajectories. The area covered by the third trajectory is the region area. The area covered by the first trajectory is denoted as .
[0083] In a feasible embodiment, after step S232: obtaining the trajectory overlap degree based on the ratio of the third trajectory coverage area to the first trajectory coverage area, the method further includes the following steps:
[0084] S233: If the trajectory overlap is 100% and the area covered by the third trajectory is smaller than the area covered by the second trajectory, the gaze trajectory is determined to be invalid. The gaze trajectory and gaze movement time of the moving light point on the patient's gaze tracking screen are re-acquired, that is, the execution is restarted from step S1.
[0085] In a feasible embodiment, S32: the step of obtaining the movement delay based on the time difference and the movement time of the bright spot includes:
[0086] The movement delay is obtained using the following formula:
[0087]
[0088] in, For the movement delay, The time difference is... The time taken to move the highlighted area.
[0089] In a feasible embodiment, before obtaining the time difference between the time taken for the line of sight to move and the time taken for the bright spot to move, the following steps are also included:
[0090] S301: Compare the time taken for the line of sight to move with the time taken for the bright spot to move;
[0091] S302: If the time taken for the gaze movement is less than the time taken for the bright spot to move, the gaze movement time is determined to be invalid, and the gaze trajectory and gaze movement time of the moving light spot on the patient's gaze tracking screen are collected again; that is, the process is restarted from step S1.
[0092] S303: If the time taken for the line of sight to move is greater than or equal to the time taken for the bright spot to move, obtain the time difference, that is, jump to step S31, and obtain the time difference through step S31.
[0093] In one feasible embodiment, the step of obtaining the patient's level of consciousness impairment based on a pre-built model for calculating the degree of consciousness impairment, the trajectory overlap, and the movement delay includes:
[0094] The degree of impaired consciousness is obtained using the following formula:
[0095]
[0096] in, The degree of impaired consciousness, The degree of overlap of the trajectories. For the movement delay, As the first weight, This is the second weight.
[0097] In summary, this application utilizes infrared eye-tracking technology to determine the degree of overlap and delay between the actual movement trajectory of the light spot and the trajectory followed by the gaze, thereby deriving a quantifiable calculation model for the degree of brain consciousness impairment. This avoids the problems of inconsistent methods and subjective standards in assessing the degree of brain consciousness impairment in patients with minimal consciousness.
[0098] Those skilled in the art will understand that embodiments of this application can be provided as methods, systems, or computer program products. Therefore, this application can take the form of a completely hardware embodiment, a completely software embodiment, or an embodiment combining software and hardware aspects. Furthermore, this application can take the form of a computer program product embodied on one or more computer-usable storage media (including but not limited to disk storage, CD-ROM, optical storage, etc.) containing computer-usable program code.
[0099] This application is described with reference to flowchart illustrations and / or block diagrams of methods, apparatus (systems), and computer program products according to embodiments of this application. It will be understood that each block of the flowchart illustrations and / or block diagrams, and combinations of blocks in the flowchart illustrations and / or block diagrams, can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, special-purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, generate instructions for implementing the flowchart... Figure 1 One or more processes and / or boxes Figure 1 The computer program instructions may also be stored in a computer-readable storage medium that can direct a computer or other programmable data processing device to function in a particular manner, such that the instructions stored in the computer-readable storage medium produce an article of manufacture including instruction means, which are implemented in a process Figure 1 One or more processes and / or boxes Figure 1 The function selected in one or more boxes.
[0100] These computer program instructions may also be loaded onto a computer or other programmable data processing equipment to cause a series of operational steps to be performed on the computer or other programmable equipment to produce a computer-implemented process, thereby providing instructions that execute on the computer or other programmable equipment for implementing the process. Figure 1 One or more processes and / or boxes Figure 1 The steps of the function selected in one or more boxes.
[0101] In a typical configuration, a computing device includes one or more processors (CPU), input / output interfaces, network interfaces, and memory.
[0102] Memory may include non-persistent memory in computer-readable media, such as random access memory (RAM) and / or non-volatile memory, such as read-only memory (ROM) or flash RAM. Memory is an example of computer-readable media.
[0103] Computer-readable media includes both permanent and non-permanent, removable and non-removable media that can store information using any method or technology. Information can be computer-readable instructions, data structures, modules of programs, or other data. Examples of computer storage media include, but are not limited to, phase-change memory (PRAM), static random access memory (SRAM), dynamic random access memory (DRAM), other types of random access memory (RAM), read-only memory (ROM), electrically erasable programmable read-only memory (EEPROM), flash memory or other memory technologies, CD-ROM, digital versatile optical disc (DVD) or other optical storage, magnetic tape, magnetic disk storage or other magnetic storage devices, or any other non-transferable medium that can be used to store information accessible by a computing device. As defined herein, computer-readable media does not include transient computer-readable media, such as modulated data signals and carrier waves.
[0104] It should also be noted that the terms "comprising," "including," or any other variations thereof are intended to cover non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements includes not only those elements but also other elements not expressly listed, or elements inherent to such process, method, article, or apparatus. Unless otherwise specified, an element defined by the phrase "comprising one..." does not exclude the presence of other identical elements in the process, method, article, or apparatus that includes that element.
[0105] The above are merely embodiments of this application and are not intended to limit the scope of this application. Various modifications and variations can be made to this application by those skilled in the art. Any modifications, equivalent substitutions, improvements, etc., made within the spirit and principles of this application should be included within the scope of the claims of this application.
Claims
1. A method for calculating the degree of impaired consciousness by tracking eye movement trajectories, characterized in that, include: Collect the patient's gaze trajectory and the time taken for the gaze to move on the moving light point on the screen; The degree of trajectory overlap is obtained based on the overlapping area between the movement trajectory of the moving light point and the line of sight trajectory; The movement delay is obtained based on the time taken for the line of sight to move and the time taken for the bright spot to move. The degree of consciousness impairment of the patient is obtained based on the pre-constructed model for calculating the degree of consciousness impairment, the trajectory overlap, and the movement delay.
2. The method for calculating the degree of consciousness impairment by tracking eye movement trajectory according to claim 1, characterized in that, The steps for collecting the patient's gaze trajectory and the time taken for gaze movement on a moving point on a screen include: The infrared eye-tracking module monitors the position and movement data of the patient's eyes when they look at a moving light spot on the screen. The position and movement data of the eyeballs are converted into the coordinates of the gaze focus on the screen; The gaze trajectory and the time taken to move the gaze are obtained by sorting the coordinates of the gaze focus corresponding to the position of the eyeball and the acquisition time of the movement data.
3. The method for calculating the degree of consciousness impairment by tracking eye movement trajectory according to claim 1, characterized in that, The step of obtaining the trajectory overlap degree based on the overlapping area of the moving light spot's trajectory and the line-of-sight trajectory includes: The first trajectory coverage area is obtained based on the pixel points of the screen corresponding to the movement trajectory of the moving light point; Based on the pixels on the screen corresponding to the gaze trajectory, obtain the second trajectory coverage area; The trajectory overlap is obtained based on the overlapping area of the first trajectory coverage area and the second trajectory coverage area.
4. The method for calculating the degree of impaired consciousness by tracking eye movement trajectories according to claim 3, characterized in that, The step of obtaining the trajectory overlap degree based on the overlapping area of the first trajectory coverage area and the second trajectory coverage area includes: The overlapping area between the first trajectory coverage area and the second trajectory coverage area is determined as the third trajectory coverage area; The trajectory overlap is obtained based on the ratio of the coverage area of the third trajectory to the coverage area of the first trajectory.
5. The method for calculating the degree of consciousness impairment by tracking eye movement trajectory according to claim 4, characterized in that, The step of obtaining the trajectory overlap degree based on the ratio of the third trajectory coverage area to the first trajectory coverage area includes: The overlap of the trajectories can be obtained using the following formula: in, The degree of overlap of the trajectories. The area covered by the third trajectory is the region area. The area covered by the first trajectory is denoted as .
6. The method for calculating the degree of impaired consciousness by tracking eye movement trajectories according to claim 4 or 5, characterized in that, After obtaining the trajectory overlap degree based on the ratio of the third trajectory coverage area to the first trajectory coverage area, the method further includes the following steps: If the trajectory overlap is 100% and the area covered by the third trajectory is smaller than the area covered by the second trajectory, the gaze trajectory is determined to be invalid, and the gaze trajectory and gaze movement time of the moving light point on the patient's gaze tracking screen are re-acquired.
7. The method for calculating the degree of impaired consciousness by tracking eye movement trajectories according to claim 1, characterized in that, The step of obtaining the movement delay based on the line-of-sight movement time and the bright spot movement time of the moving light point includes: Obtain the time difference between the time taken for the line of sight to move and the time taken for the bright spot to move; The movement delay is obtained based on the time difference and the movement time of the bright spot.
8. The method for calculating the degree of impaired consciousness by tracking eye movement trajectories according to claim 7, characterized in that, The step of obtaining the movement delay based on the time difference and the movement time of the bright spot includes: The movement delay is obtained using the following formula: in, For the movement delay, The time difference is... The time taken to move the highlighted area.
9. The method for calculating the degree of impaired consciousness by tracking eye movement trajectories according to claim 7, characterized in that, Before obtaining the time difference between the time taken for the line of sight to move and the time taken for the bright spot to move, the following steps are also included: Compare the time taken for the line of sight to move with the time taken for the bright spot to move; If the time taken for the gaze movement is less than the time taken for the bright spot to move, the gaze movement time is determined to be invalid, and the gaze trajectory and gaze movement time of the patient's gaze tracking the moving light spot on the screen are re-acquired. If the time taken for the line of sight to move is greater than or equal to the time taken for the bright spot to move, the time difference is obtained.
10. The method for calculating the degree of impaired consciousness by tracking eye movement trajectories according to claim 1, characterized in that, The steps for obtaining the patient's level of consciousness impairment based on a pre-constructed model for calculating the degree of consciousness impairment, the trajectory overlap, and the movement delay include: The degree of impaired consciousness is obtained using the following formula: in, The degree of impaired consciousness, The degree of overlap of the trajectories. For the movement delay, As the first weight, This is the second weight.