Neurology cognitive function evaluation system and method based on object recognition
By installing position sensors at various movement parts of the body, and obtaining and evaluating position data and reaction time data during cognitive movement, the problem of accuracy and inefficiency in the prior art is solved, and more accurate assessment and early warning of cognitive dysfunction is achieved.
Patent Information
- Application Number
- CN202411700973.6
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Priority Date
- 2024-08-21
- Filing Date
- 2024-11-26
- Publication Date
- 2025-03-14
- Estimated Expiration
- Not applicable · inactive patent
AI Technical Summary
The prior art cannot effectively comprehensively analyze relative position data and cognitive response time data during cognitive exercise when performing cognitive function evaluation, resulting in inaccuracy and inefficiency of evaluation.
By pasting position sensors in various movement parts of the body, the position data and reaction time data during cognitive movement are obtained, and they are imported into the cognitive position function evaluation strategy and cognitive response time evaluation strategy for evaluation. Finally, the results are imported into the cognitive function evaluation model for comprehensive evaluation and obstacle warning.
It improves the accuracy and efficiency of cognitive dysfunction assessment, and can more accurately evaluate patients' cognitive dysfunction and provide early warning.
Smart Images

Figure CN119626513A_ABST
Abstract
Description
Technical Field
[0001] The invention belongs to the field of medical care, and in particular to a neurological cognitive function assessment system and method based on object recognition. Background Art
[0002] Cognitive function assessment is an innovative assessment method that uses computer technology to detect and analyze an individual's cognitive ability. This method is often used in clinical practice in neurology, especially in the assessment of elderly patients or those who may have cognitive dysfunction after experiencing brain damage. Specifically, this assessment will include the following steps: Object recognition technology: Use image recognition technology to identify specific objects in front of the patient. This may involve machine learning models, especially deep learning models such as convolutional neural networks (CNNs), which can recognize and classify different objects in visual data. User interaction: During the assessment, patients may be asked to perform a series of tasks, such as pointing out specific objects, classifying objects, or describing object features. These tasks are designed to examine the patient's attention, memory, executive function, and language ability. Cognitive function assessment can help doctors better understand patients' cognitive impairments and provide them with personalized treatment plans.
[0003] However, the prior art has a series of problems in the process of cognitive function assessment and analysis. For example, the prior art cannot comprehensively analyze the relative position data in the cognitive movement process according to the characteristics of the corresponding movement, and cannot comprehensively analyze the cognitive reaction time data to accurately assess the patient's cognitive dysfunction, which reduces the assessment accuracy and efficiency of the patient's cognitive dysfunction. Most of the prior art has the above problems.
[0004] In order to solve these problems, the present application designs a neurological cognitive function assessment system and method based on object recognition. Summary of the invention
[0005] In view of the deficiencies of the prior art, the present invention proposes a neurological cognitive function assessment system and method based on object recognition.
[0006] To achieve the above object, the present invention provides the following technical solution: a method for evaluating cognitive function in neurology based on object recognition, which comprises the following specific steps:
[0007] Affix position sensors to each moving part of the body to obtain position data and reaction time data of each moving part during cognitive exercise, and simultaneously obtain position data of each moving part during standard exercise;
[0008] The position data of each movement part during cognitive movement and the position data of each movement part during standard movement are introduced into the cognitive position function assessment strategy to conduct cognitive position function assessment;
[0009] Substitute the reaction time of each motor part into the cognitive reaction time assessment strategy to conduct cognitive reaction time assessment;
[0010] The obtained cognitive position function assessment results and cognitive reaction time assessment results are introduced into the cognitive function assessment model to conduct a comprehensive cognitive function assessment;
[0011] The comprehensive cognitive function assessment results obtained can be used to provide early warning for cognitive dysfunction.
[0012] It should be further explained that the specific steps of attaching position sensors to various moving parts of the body to obtain the position data and reaction time data of each moving part during cognitive exercise and simultaneously obtaining the position data of each moving part during the standard exercise process are as follows:
[0013] S11, attaching a position sensor to the middle of each movement position of the patient's body that needs to be evaluated, the position sensor obtains position data of each movement position at each corresponding moment during the cognitive movement process, and stores it in a first storage module in real time;
[0014] S12, obtaining position data of each movement position of the standard movement process of the cognitive movement at each corresponding moment in the process of the cognitive movement, and storing the data in real time in the second storage module.
[0015] It should be specifically explained here that the method of importing the position data of each movement part during the cognitive movement process and the position data of each movement part during the standard movement process into the cognitive position function evaluation strategy for cognitive position function evaluation includes the following specific steps:
[0016] S21, obtaining the distance between the position sensor of each movement part and the forehead when the patient stands at attention, and simultaneously obtaining the real-time position data of each movement part during the cognitive movement process and the real-time position data of each movement part during the standard movement process;
[0017] S22, importing the acquired real-time position data of the ith movement part during cognitive movement and the real-time position data of the ith movement part during standard movement into the calculation formula of cognitive position function evaluation value of the ith movement part to calculate the cognitive position function evaluation value of the ith movement part, wherein the calculation formula of cognitive position function evaluation value of the ith movement part is: Among them, dt is the time integral, Ti is the movement time of the i-th moving part, p() is the modulus of the vector, and x t(i ~ i-1) is the vector formed in three-dimensional space between the middle position of the i-th moving part and the middle position of the i-1-th moving part at time t in the cognitive movement process, is the vector formed in three-dimensional space between the middle position of the i-th moving part and the middle position of the i-1-th moving part at time t of the standard movement process;
[0018] S23, obtaining cognitive position function evaluation values of all movement parts in the cognitive movement process, substituting the cognitive position function evaluation values of all movement parts in the cognitive movement process into the calculation formula of the overall evaluation value of cognitive position function to calculate the overall evaluation value of cognitive position function, wherein the calculation formula of the overall evaluation value of cognitive position function is: Where N is the number of moving parts, ci is the distance between the position sensor of the i-th moving part and the forehead when the patient stands at attention;
[0019] It should be further explained that the specific steps of substituting the reaction time of each motor part into the cognitive reaction time evaluation strategy for cognitive reaction time evaluation are as follows:
[0020] Acquire the reaction time data of each movement part during the cognitive movement, substitute the reaction time data of each movement part during the cognitive movement and the standard reaction time data of each movement part during the cognitive movement into the cognitive reaction time evaluation value calculation formula to calculate the cognitive reaction time evaluation value, wherein the cognitive reaction time evaluation value calculation formula is: Among them, ti is the average reaction time of the ith motor part in the cognitive movement process, and tim is the median of the safe reaction time range of the ith motor part in the cognitive movement process.
[0021] It should be further explained that the step of importing the obtained cognitive position function evaluation results and cognitive reaction time evaluation results into the cognitive function evaluation model to perform a comprehensive cognitive function evaluation includes the following specific steps:
[0022] S41, obtaining the calculated overall evaluation value of the patient's cognitive position function and cognitive reaction time during cognitive movement;
[0023] S42, substituting the obtained overall evaluation value of cognitive position function and cognitive reaction time evaluation value in the cognitive movement process into the calculation formula of cognitive function comprehensive evaluation value to calculate the cognitive function comprehensive evaluation value, wherein the calculation formula of cognitive function comprehensive evaluation value is: Among them, a is the cognitive position evaluation ratio coefficient, where the value of a ranges from 0.6 to 1;
[0024] It should be specifically explained here that the specific content of the early warning of cognitive dysfunction based on the obtained comprehensive cognitive function assessment results is:
[0025] Obtain the calculated comprehensive cognitive function assessment value of the patient, and compare the calculated comprehensive cognitive function assessment value with the set comprehensive cognitive function assessment threshold. If the comprehensive cognitive function assessment value is greater than or equal to the set comprehensive cognitive function assessment threshold, no cognitive dysfunction warning will be issued for the patient; if the comprehensive cognitive function assessment value is less than the set comprehensive cognitive function assessment threshold, a cognitive dysfunction warning will be issued for the patient.
[0026] The neurological cognitive function assessment system based on object recognition is implemented based on the above-mentioned neurological cognitive function assessment method based on object recognition, and specifically includes a data acquisition module, a cognitive position function assessment module, a cognitive reaction time assessment module, a cognitive function comprehensive assessment module, a cognitive dysfunction early warning module and a master control module, wherein the data acquisition module is used to attach position sensors to various moving parts of the body to obtain the position data and reaction time data of each moving part during cognitive movement, and at the same time obtain the position data of each moving part in the standard movement process; the cognitive position function assessment module is used to compare the position data of each moving part in the cognitive movement process with the position data of each moving part in the standard movement process. The data is imported into the cognitive position function assessment strategy to carry out cognitive position function assessment, the cognitive reaction time assessment module is used to substitute the reaction time of each movement part into the cognitive reaction time assessment strategy to carry out cognitive reaction time assessment, the cognitive function comprehensive assessment module is used to import the obtained cognitive position function assessment results and cognitive reaction time assessment results into the cognitive function assessment model to carry out cognitive function comprehensive assessment, the cognitive dysfunction early warning module is used to carry out cognitive dysfunction early warning based on the obtained cognitive function comprehensive assessment results, and the general control module is used to control the operation of the data acquisition module, the cognitive position function assessment module, the cognitive reaction time assessment module, the cognitive function comprehensive assessment module and the cognitive dysfunction early warning module.
[0027] An electronic device comprises: a processor and a memory, wherein the memory stores a computer program that can be called by the processor;
[0028] The processor executes the above-mentioned neurological cognitive function assessment method based on object recognition by calling the computer program stored in the memory.
[0029] A computer-readable storage medium stores instructions, which, when executed on a computer, enable the computer to execute the above-mentioned neurological cognitive function assessment method based on object recognition.
[0030] Compared with the prior art, the present invention has the following beneficial effects:
[0031] The present invention attaches position sensors to various moving parts of the body, obtains position data and reaction time data of various moving parts during cognitive movement, and simultaneously obtains position data of various moving parts in a standard movement process, imports the position data of various moving parts during cognitive movement and the position data of various moving parts in a standard movement process into a cognitive position function evaluation strategy to perform cognitive position function evaluation, substitutes the reaction time of each moving part into a cognitive reaction time evaluation strategy to perform cognitive reaction time evaluation, imports the obtained cognitive position function evaluation results and cognitive reaction time evaluation results into a cognitive function evaluation model to perform a comprehensive cognitive function evaluation, performs a cognitive dysfunction early warning based on the obtained comprehensive cognitive function evaluation results, comprehensively analyzes the relative position data during the cognitive movement according to the characteristics of the corresponding movement, and simultaneously accurately evaluates the patient's cognitive dysfunction based on the comprehensive cognitive reaction time data, thereby improving the evaluation accuracy and efficiency of the patient's cognitive dysfunction. BRIEF DESCRIPTION OF THE DRAWINGS
[0032] Figure 1 It is a schematic diagram of the overall process of the neurological cognitive function assessment method based on object recognition of the present invention;
[0033] Figure 2 This is a schematic flow chart of step S2 of the neurological cognitive function assessment method based on object recognition of the present invention;
[0034] Figure 3 It is a schematic diagram of the overall framework of the neurological cognitive function assessment system based on object recognition of the present invention;
[0035] Figure 4 A schematic diagram of sensor locations in one of the applicable scenarios of the present invention; DETAILED DESCRIPTION
[0036] 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.
[0037] Example 1
[0038] In order to solve the technical problems in the background technology of this application, the present invention provides a preferred embodiment: Figure 1 and Figure 2 As shown, the neurological cognitive function assessment method based on object recognition includes the following specific steps:
[0039] S1. Attach position sensors to various moving parts of the body to obtain position data and reaction time data of various moving parts during cognitive movement, and simultaneously obtain position data of various moving parts during standard movement;
[0040] S2, importing the position data of each movement part during the cognitive movement process and the position data of each movement part during the standard movement process into the cognitive position function evaluation strategy to perform cognitive position function evaluation;
[0041] S3, substituting the reaction time of each motor part into the cognitive reaction time assessment strategy to conduct cognitive reaction time assessment;
[0042] S4, importing the obtained cognitive position function assessment results and cognitive reaction time assessment results into the cognitive function assessment model to conduct a comprehensive cognitive function assessment;
[0043] S5. Early warning of cognitive dysfunction based on the comprehensive cognitive function assessment results;
[0044] In a specific embodiment, a position sensor is attached to each moving part of the body to obtain the position data and reaction time data of each moving part during cognitive exercise, and the specific steps of obtaining the position data of each moving part during the standard exercise process are:
[0045] S11. A position sensor is pasted on the middle part of each movement position of the patient's body that needs to be evaluated. The position sensor obtains the position data of each movement position at each corresponding moment in the cognitive movement process, and stores it in real time in the first storage module. Specifically, the cognitive movement process of the present application is applicable to the following scenarios: the patient performs cognitive imitation operations on the actions played in the corresponding video. For example, in the process of cognitive movement of raising hands, the position data of the arm movement position at each corresponding moment in the cognitive movement process when the hand-raising action is played in the video, and the patient imitates the hand-raising action. The movement position of the hand-raising action is mainly the movement of the upper arm, forearm and palm. In this way, what is obtained in the process of cognitive evaluation of the hand-raising action is the position data of the upper arm, forearm and palm at each corresponding moment in the cognitive movement process, such as Figure 4 As shown, when the hand-raising action is performed, the position sensors are installed at the upper arm, the lower arm and the palm respectively;
[0046] S12, obtaining position data of each movement position of the standard movement process of the cognitive movement at each corresponding moment in the process of the cognitive movement, and storing it in a second storage module in real time;
[0047] In a specific embodiment, the method of importing the position data of each movement part during the cognitive movement process and the position data of each movement part during the standard movement process into the cognitive position function evaluation strategy for cognitive position function evaluation includes the following specific steps:
[0048] S21, obtaining the distance between the position sensor of each movement part and the forehead when the patient stands at attention, and simultaneously obtaining the real-time position data of each movement part during the cognitive movement process and the real-time position data of each movement part during the standard movement process;
[0049] S22, importing the acquired real-time position data of the ith movement part during cognitive movement and the real-time position data of the ith movement part during standard movement into the calculation formula of cognitive position function evaluation value of the ith movement part to calculate the cognitive position function evaluation value of the ith movement part, wherein the calculation formula of cognitive position function evaluation value of the ith movement part is: Among them, dt is the time integral, Ti is the movement time of the i-th moving part, p() is the modulus of the vector, and x t(i ~ i-1) is the vector formed in three-dimensional space between the middle position of the i-th moving part and the middle position of the i-1-th moving part at time t in the cognitive movement process, is the vector formed in three-dimensional space between the middle position of the ith moving part and the middle position of the i-1th moving part at time t of the standard movement process. Here, an example is given to illustrate the ith moving part and the i-1th moving part. In the process of raising the hand, only the forearm drives the palm to move, so here the forearm is said to be the previous moving part of the palm, that is, if the palm is the ith moving part and the forearm is the i-1th moving part. If i is the first starting part, for example, in the process of raising the hand, the upper arm is the first starting part, then x t(i ~ i-1) is the vector formed in three-dimensional space between the middle position of the i-th movement part at time t during cognitive movement and the position of the patient's forehead;
[0050] S23, obtaining cognitive position function evaluation values of all movement parts in the cognitive movement process, substituting the cognitive position function evaluation values of all movement parts in the cognitive movement process into the calculation formula of the overall evaluation value of cognitive position function to calculate the overall evaluation value of cognitive position function, wherein the calculation formula of the overall evaluation value of cognitive position function is: Where N is the number of moving parts, ci is the distance between the position sensor of the i-th moving part and the forehead when the patient stands at attention;
[0051] In a specific embodiment, the specific steps of substituting the reaction time of each motor part into the cognitive reaction time evaluation strategy for cognitive reaction time evaluation are:
[0052] Acquire the reaction time data of each movement part during the cognitive movement, substitute the reaction time data of each movement part during the cognitive movement and the standard reaction time data of each movement part during the cognitive movement into the cognitive reaction time evaluation value calculation formula to calculate the cognitive reaction time evaluation value, wherein the cognitive reaction time evaluation value calculation formula is: Among them, ti is the average reaction time of the ith motor part in the cognitive movement process, and tim is the median of the safe reaction time range of the ith motor part in the cognitive movement process.
[0053] In a specific embodiment, the obtained cognitive position function assessment results and cognitive reaction time assessment results are introduced into the cognitive function assessment model to perform a comprehensive cognitive function assessment, which includes the following specific steps:
[0054] S41, obtaining the calculated overall evaluation value of the patient's cognitive position function and cognitive reaction time during cognitive movement;
[0055] S42, substituting the obtained overall evaluation value of cognitive position function and cognitive reaction time evaluation value in the cognitive movement process into the calculation formula of cognitive function comprehensive evaluation value to calculate the cognitive function comprehensive evaluation value, wherein the calculation formula of cognitive function comprehensive evaluation value is: Among them, a is the cognitive position evaluation ratio coefficient, where the value of a ranges from 0.6 to 1;
[0056] In a specific embodiment, the specific content of early warning of cognitive dysfunction based on the obtained comprehensive cognitive function assessment results is:
[0057] Obtain the calculated comprehensive cognitive function assessment value of the patient, and compare the calculated comprehensive cognitive function assessment value with the set comprehensive cognitive function assessment threshold. If the comprehensive cognitive function assessment value is greater than or equal to the set comprehensive cognitive function assessment threshold, no cognitive dysfunction warning will be issued for the patient; if the comprehensive cognitive function assessment value is less than the set comprehensive cognitive function assessment threshold, a cognitive dysfunction warning will be issued for the patient.
[0058] It should be noted here that the cognitive position evaluation ratio coefficient and the cognitive function comprehensive evaluation threshold value in this embodiment are obtained as follows: the position data and reaction time data of each movement part in the cognitive movement process of 5000 groups of patients are obtained, and the position data of each movement part in the standard movement process are obtained at the same time, 50 experts in the nursing field are hired to judge whether there is cognitive dysfunction according to the patient's condition, and the position data, reaction time data of each movement part in the cognitive movement process of the patient and the position data of each movement part in the standard movement process are substituted into the cognitive function comprehensive evaluation value calculation formula to calculate the cognitive function comprehensive evaluation value, and the calculated cognitive function comprehensive evaluation value and cognitive dysfunction judgment result are substituted into the fitting software to output the cognitive position evaluation ratio coefficient and the cognitive function comprehensive evaluation threshold value that meet the highest judgment accuracy rate;
[0059] The benefits that can be achieved through the above implementation method are: sticking position sensors on various moving parts of the body to obtain the position data and reaction time data of each moving part during cognitive movement, and at the same time obtain the position data of each moving part in the standard movement process, importing the position data of each moving part during cognitive movement and the position data of each moving part in the standard movement process into the cognitive position function evaluation strategy to conduct cognitive position function evaluation, substituting the reaction time of each moving part into the cognitive reaction time evaluation strategy to conduct cognitive reaction time evaluation, importing the obtained cognitive position function evaluation results and cognitive reaction time evaluation results into the cognitive function evaluation model to conduct comprehensive cognitive function evaluation, using the obtained comprehensive cognitive function evaluation results to give an early warning of cognitive dysfunction, comprehensively analyzing the relative position data during cognitive movement according to the characteristics of the corresponding movement, and accurately evaluating the patient's cognitive dysfunction based on the comprehensive cognitive reaction time data, thereby improving the evaluation accuracy and efficiency of the patient's cognitive dysfunction.
[0060] Example 2
[0061] like Figure 3As shown, the neurological cognitive function assessment system based on object recognition is implemented based on the above-mentioned neurological cognitive function assessment method based on object recognition, and specifically includes a data acquisition module, a cognitive position function assessment module, a cognitive reaction time assessment module, a cognitive function comprehensive assessment module, a cognitive dysfunction early warning module and a master control module, wherein the data acquisition module is used to attach position sensors to various moving parts of the body to obtain the position data and reaction time data of each moving part during the cognitive movement process, and at the same time obtain the position data of each moving part in the standard movement process; the cognitive position function assessment module is used to compare the position data of each moving part in the cognitive movement process with the reaction time data of each moving part in the standard movement process. The position data of each position is imported into the cognitive position function evaluation strategy to carry out cognitive position function evaluation. The cognitive reaction time evaluation module is used to substitute the reaction time of each movement part into the cognitive reaction time evaluation strategy to carry out cognitive reaction time evaluation. The cognitive function comprehensive evaluation module is used to import the obtained cognitive position function evaluation results and cognitive reaction time evaluation results into the cognitive function evaluation model to carry out cognitive function comprehensive evaluation. The cognitive dysfunction early warning module is used to carry out cognitive dysfunction early warning based on the obtained cognitive function comprehensive evaluation results. The general control module is used to control the operation of the data acquisition module, the cognitive position function evaluation module, the cognitive reaction time evaluation module, the cognitive function comprehensive evaluation module and the cognitive dysfunction early warning module.
[0062] Example 3
[0063] This embodiment provides an electronic device, including: a processor and a memory, wherein the memory stores a computer program that can be called by the processor;
[0064] The processor executes the above-mentioned neurological cognitive function assessment method based on object recognition by calling the computer program stored in the memory.
[0065] The electronic device may have relatively large differences due to different configurations or performances, and may include one or more processors (Central Processing Units, CPU) and one or more memories, wherein the memory stores at least one computer program, which is loaded and executed by the processor to implement the neurological cognitive function assessment method based on object recognition provided by the above method embodiment. The electronic device may also include other components for implementing the functions of the device, for example, the electronic device may also have components such as a wired or wireless network interface and an input and output interface to input and output data. This embodiment will not be described in detail here.
[0066] Example 4
[0067] This embodiment provides a computer-readable storage medium having a rewritable computer program stored thereon;
[0068] When the computer program is executed on a computer device, the computer device is caused to execute the above-mentioned neurological cognitive function assessment method based on object recognition.
[0069] For example, the computer readable storage medium can be a read-only memory (ROM), a random access memory (RAM), a compact disc (CD-ROM), a magnetic tape, a floppy disk, an optical data storage device, etc.
[0070] It should be understood that in the various embodiments of the present application, the size of the serial numbers of the above-mentioned processes does not mean the order of execution. The execution order of each process should be determined by its function and internal logic, and should not constitute any limitation on the implementation process of the embodiments of the present application.
[0071] It should be understood that determining B based on A does not mean determining B only based on A. B can also be determined based on A and / or other information.
[0072] The above embodiments can be implemented in whole or in part by software, hardware, firmware or any other combination. When implemented by software, the above embodiments can be implemented in whole or in part in the form of a computer program product. The computer program product includes one or more computer instructions or computer programs. When a computer instruction or computer program is loaded or executed on a computer, a process or function according to an embodiment of the present invention is generated in whole or in part. The computer can be a general-purpose computer, a special-purpose computer, a computer network or other programmable device. Computer instructions can be stored in a computer-readable storage medium, or transmitted from one computer-readable storage medium to another computer-readable storage medium. For example, computer instructions can be transmitted from one website site, computer, server or data center to another website site, computer, server or data center through a wired network or / and a wireless network. The computer-readable storage medium can be any available medium that can be accessed by a computer or a data storage device such as a server or data center that contains one or more available media sets. The available medium can be a magnetic medium (e.g., a floppy disk, a hard disk, a tape), an optical medium (e.g., a DVD), or a semiconductor medium. The semiconductor medium can be a solid-state hard disk.
Claims
1. A method for evaluating cognitive function in neurology based on object recognition, characterized in that: It includes the following specific steps: Affix position sensors to each moving part of the body to obtain position data and reaction time data of each moving part during cognitive exercise, and simultaneously obtain position data of each moving part during standard exercise; The position data of each movement part during cognitive movement and the position data of each movement part during standard movement are introduced into the cognitive position function assessment strategy to conduct cognitive position function assessment; Substitute the reaction time of each motor part into the cognitive reaction time assessment strategy to conduct cognitive reaction time assessment; The obtained cognitive position function assessment results and cognitive reaction time assessment results are introduced into the cognitive function assessment model to conduct a comprehensive cognitive function assessment; The comprehensive cognitive function assessment results obtained can be used to provide early warning for cognitive dysfunction.
2. The method for evaluating neurological cognitive function based on object recognition according to claim 1, characterized in that: The method of importing the position data of each movement part during the cognitive movement process and the position data of each movement part during the standard movement process into the cognitive position function evaluation strategy for cognitive position function evaluation includes the following specific steps: Obtain the distance between the position sensor of each moving part and the forehead when the patient stands at attention, and simultaneously obtain the real-time position data of each moving part during cognitive movement and the real-time position data of each moving part during standard movement; The real-time position data of the i-th movement part during cognitive movement and the real-time position data of the i-th movement part during standard movement are imported into the calculation formula of the cognitive position function evaluation value of the i-th movement part to calculate the cognitive position function evaluation value of the i-th movement part, wherein the calculation formula of the cognitive position function evaluation value of the i-th movement part is: Among them, dt is the time integral, Ti is the movement time of the i-th moving part, p() is the modulus of the vector, and x t(i ~ i-1) is the vector formed in three-dimensional space between the middle position of the i-th moving part and the middle position of the i-1-th moving part at time t in the cognitive movement process, is the vector formed in three-dimensional space between the middle position of the i-th moving part and the middle position of the i-1-th moving part at time t of the standard movement process; Acquire the cognitive position function evaluation values of all movement parts in the cognitive movement process, substitute the cognitive position function evaluation values of all movement parts in the cognitive movement process into the calculation formula of the overall evaluation value of the cognitive position function to calculate the overall evaluation value of the cognitive position function, wherein the calculation formula of the overall evaluation value of the cognitive position function is: Wherein, N is the number of moving parts, and ci is the distance between the position sensor of the i-th moving part and the forehead when the patient stands at attention.
3. The method for evaluating neurological cognitive function based on object recognition according to claim 2, characterized in that: The specific steps of substituting the reaction time of each motor part into the cognitive reaction time evaluation strategy for cognitive reaction time evaluation are as follows: Acquire the reaction time data of each movement part during the cognitive movement, substitute the reaction time data of each movement part during the cognitive movement and the standard reaction time data of each movement part during the cognitive movement into the cognitive reaction time evaluation value calculation formula to calculate the cognitive reaction time evaluation value, wherein the cognitive reaction time evaluation value calculation formula is: Among them, ti is the average reaction time of the ith motor part in the cognitive movement process, and tim is the median of the safe reaction time range of the ith motor part in the cognitive movement process.
4. The method for evaluating neurological cognitive function based on object recognition according to claim 3, characterized in that: The step of importing the obtained cognitive position function evaluation results and cognitive reaction time evaluation results into the cognitive function evaluation model to perform a comprehensive cognitive function evaluation comprises the following specific steps: Obtaining the calculated overall assessment value of cognitive position function and cognitive reaction time assessment value during the patient's cognitive movement process; Substitute the obtained overall evaluation value of cognitive position function and cognitive reaction time evaluation value in the cognitive movement process into the calculation formula of comprehensive evaluation value of cognitive function to calculate the comprehensive evaluation value of cognitive function, wherein the calculation formula of comprehensive evaluation value of cognitive function is: Among them, a is the cognitive position evaluation ratio.
5. The method for evaluating neurological cognitive function based on object recognition according to claim 4, characterized in that: The specific content of the cognitive dysfunction early warning obtained by the comprehensive cognitive function assessment result is: Obtain the calculated comprehensive cognitive function assessment value of the patient, and compare the calculated comprehensive cognitive function assessment value with the set comprehensive cognitive function assessment threshold. If the comprehensive cognitive function assessment value is greater than or equal to the set comprehensive cognitive function assessment threshold, no cognitive dysfunction warning will be issued for the patient; if the comprehensive cognitive function assessment value is less than the set comprehensive cognitive function assessment threshold, a cognitive dysfunction warning will be issued for the patient.
6. The method for evaluating neurological cognitive function based on object recognition according to claim 5, characterized in that: The specific steps of attaching position sensors to various moving parts of the body to obtain position data and reaction time data of various moving parts during cognitive movement, and simultaneously obtaining position data of various moving parts during standard movement are as follows: A position sensor is attached to the middle of each movement position of the patient's body that needs to be evaluated, and the position sensor obtains the position data of each movement position at each corresponding moment during the cognitive movement process, and stores it in the first storage module in real time; The position data of each movement position in the standard movement process of the cognitive movement at each corresponding moment in the process of the cognitive movement are obtained and stored in the second storage module in real time.
7. A neurological cognitive function assessment system based on object recognition, which is implemented based on the neurological cognitive function assessment method based on object recognition as claimed in any one of claims 1 to 6, characterized in that: It specifically includes a data acquisition module, a cognitive position function evaluation module, a cognitive reaction time evaluation module, a cognitive function comprehensive evaluation module, a cognitive dysfunction early warning module and a master control module, wherein the data acquisition module is used to attach position sensors to various moving parts of the body to obtain the position data and reaction time data of each moving part during cognitive movement, and simultaneously obtain the position data of each moving part during the standard movement process; the cognitive position function evaluation module is used to import the position data of each moving part during cognitive movement and the position data of each moving part during the standard movement process into the cognitive position function evaluation strategy to perform cognitive position function evaluation; the cognitive reaction time evaluation module is used to substitute the reaction time of each moving part into the cognitive reaction time evaluation strategy to perform cognitive reaction time evaluation; and the cognitive function comprehensive evaluation module is used to import the obtained cognitive position function evaluation results and cognitive reaction time evaluation results into the cognitive function evaluation model for further cognitive function comprehensive evaluation.
8. The neurological cognitive function assessment system based on object recognition according to claim 7, characterized in that: The cognitive dysfunction early warning module is used to provide early warning of cognitive dysfunction based on the obtained comprehensive cognitive function assessment results, and the general control module is used to control the operation of the data acquisition module, the cognitive position function assessment module, the cognitive reaction time assessment module, the cognitive function comprehensive assessment module and the cognitive dysfunction early warning module.
9. An electronic device, comprising: A processor and a memory, wherein the memory stores a computer program that can be called by the processor; It is characterized in that the processor executes the neurological cognitive function assessment method based on object recognition as described in any one of claims 1 to 6 by calling the computer program stored in the memory.
10. A computer-readable storage medium, characterized in that: Instructions are stored, and when the instructions are executed on a computer, the computer is caused to execute the neurological cognitive function assessment method based on object recognition as described in any one of claims 1 to 6.
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