Method for evaluating high temperature cognitive impairment based on head skin temperature

Abstract

The application provides a high-temperature cognitive impairment evaluation method based on head skin temperature, which comprises the following steps: collecting head skin temperature data of an object to be evaluated in real time; determining the head skin temperature grade corresponding to the head skin temperature data according to the head skin temperature grade division standard; and determining the cognitive performance grade of the object to be evaluated based on a cognitive evaluation model and in combination with the head skin temperature grade. The application can evaluate the cognitive performance of a user through head skin temperature, and the prior art does not have the technology of evaluating cognitive performance through head skin temperature. The application can realize real-time evaluation and monitoring of the cognitive performance of a user by measuring only one physiological parameter (head skin temperature), thereby providing protection for workers to work safely and efficiently in high temperature. The head skin temperature data is simple and easy to obtain, thereby reducing the difficulty of data acquisition and improving the popularization of the application.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of cognitive performance evaluation, in particular to a high-temperature cognitive impairment evaluation method based on head skin temperature. BACKGROUND

[0002] With the frequent occurrence of global high-temperature processes, excessive temperature is easy to cause various diseases in summer, including heatstroke, heatstroke, etc. With climate change, people are increasingly aware of the health risks of temperature rise and acute regional high-temperature events in the general population. Many physically demanding occupations in developed and developing economies involve exposure to extreme high-temperature environments, which can affect work capacity and ultimately health. Extreme temperatures can occur in outdoor or indoor work environments, possibly due to natural or artificial environments, metabolic heat rates generated by physical work, specific processes in the workplace (such as steel manufacturing), or through requirements for protective clothing that affect heat dissipation. In summary, heat exposure causes acute impairment of work capacity and chronic effects on health, greatly increasing the health risks of workers and reducing productivity. A study by the Harvard T.H. Chan School of Public Health in the United States shows that high temperatures are associated with impaired brain cognition, and even healthy young people's brains can be slower in high-temperature days. Therefore, real-time monitoring and evaluation of cognitive performance should be an important measure to ensure high-temperature safety.

[0003] The main method for evaluating cognitive performance is cognitive assessment interview (CAI), psychological scale (CASI), or cognitive test, as shown in Figure 1 Since the test personnel need to fill in the psychological questionnaire or complete the cognitive test on the basis of correct understanding, these traditional methods commonly used in the laboratory are almost impossible to be used for cognitive performance evaluation in actual high-temperature environments, and real-time monitoring of cognitive performance cannot be achieved. Unlike psychological scales or tests, human physiological parameters can be continuously measured.

[0004] As shown in Figure 2 The prior art (CN112032971A) mainly uses environmental parameters and physiological parameters as an auxiliary to achieve control of the air conditioning system, and the prediction and estimation of user cognitive performance are mostly achieved by combining electroencephalogram or multiple physiological parameters, which are more targeted at clinical diseases rather than the impact of cognition on work efficiency.

[0005] Moreover, the cognitive evaluation system in the prior art is more suitable for normal temperature environments, and lacks generalizability for high-temperature environments, especially high-temperature environments of 33℃ and above. In view of the problems of the prior art, the present application provides a cognitive performance method based on head skin temperature. SUMMARY

[0006] To solve the problems of the prior art, the application provides a high-temperature cognitive impairment evaluation method based on head skin temperature, which comprises the following steps:

[0007] Real-time collection of head skin temperature data of the object to be evaluated;

[0008] According to the head skin temperature grade division standard, the head skin temperature grade corresponding to the head skin temperature data is determined.

[0009] Based on the cognitive evaluation model, the cognitive performance grade of the object to be evaluated is determined in combination with the head skin temperature grade.

[0010] According to an embodiment of the application, the method comprises the following steps: collecting the head skin temperature data by the temperature collection device worn by the object to be evaluated.

[0011] According to an embodiment of the application, the head skin temperature grade division standard is: the skin temperature value range of the 33 grade is [32.5, 33.5), the skin temperature value range of the 34 grade is [33.5, 34.5), the skin temperature value range of the 35 grade is [34.5, 35.5), the skin temperature value range of the 36 grade is [35.5, 36.5), the skin temperature value range of the 37 grade is [36.5, 37.5), and the skin temperature value range of the 38 grade is [37.5, 38.5).

[0012] According to an embodiment of the application, the cognitive evaluation model is constructed by the following steps:

[0013] Under the experimental scenario, the multidimensional test scores obtained after multidimensional cognitive tests of the personnel under different working conditions and the corresponding head skin temperature values are collected.

[0014] The multidimensional test scores are dimensionless processed to eliminate individual differences, and cognitive evaluation modeling data is obtained.

[0015] Based on the cognitive evaluation modeling data, the multidimensional average test scores corresponding to each head skin temperature grade are calculated.

[0016] The head skin temperature grade data and the corresponding multidimensional average test score data are fitted by a selected fitting function, and the cognitive evaluation model is obtained.

[0017] According to one embodiment of the present application, the multi-dimension cognitive test comprises any one or a combination of the following: semantic interference and visual perception ability test, working memory ability test, numerical mental arithmetic ability test, spatial orientation ability test, long-term memory ability test, visual scanning and attention concentration ability test, perception and spatial reasoning ability test.

[0018] According to one embodiment of the present application, the cognitive evaluation model comprises:

[0019] Semantic interference and visual perception cognitive evaluation model:

[0020] Y1 = -0.0102x 2 + 0.7064x - 11.239

[0021] Working memory cognitive evaluation model:

[0022] Y2 = -0.0079x 2 + 0.5455x - 8.4426

[0023] Addition mental arithmetic cognitive evaluation model:

[0024] Y3 = -0.0125x 2 + 0.8667x - 14.0481

[0025] Multiplication mental arithmetic cognitive evaluation model:

[0026] Y4 = -0.0077x 2 + 0.5315x - 8.2735

[0027] Spatial orientation cognitive evaluation model:

[0028] Y5 = -0.013x 2 + 0.8999x - 14.5721

[0029] Long-term memory cognitive evaluation model:

[0030] Y6 = -0.0008x 2 + 0.0577x - 0.0093

[0031] Visual scanning and attention concentration cognitive evaluation model:

[0032] Y7 = -0.00004x 2 + 0.0012x + 0.9921

[0033] Perception and spatial reasoning cognitive evaluation model:

[0034] Y8 = -0.0025x 2 + 0.1676x - 1.8673

[0035] wherein Y1 represents the relative accuracy of semantic interference and visual perception ability test; Y2 represents the relative accuracy of working memory ability test; Y3 represents the relative accuracy of addition mental arithmetic ability test; Y4 represents the relative accuracy of multiplication mental arithmetic ability test; Y5 represents the relative accuracy of spatial orientation ability test; Y6 represents the relative accuracy of long-term memory ability test; Y7 represents the relative accuracy of visual scanning and attention concentration ability test; Y8 represents the relative accuracy of perception and spatial reasoning ability test; and x represents the head skin temperature grade.

[0036] According to one embodiment of the present application, the cognitive performance grade of the subject to be evaluated is determined by the following steps: in actual use, the relative accuracy corresponding to each cognitive evaluation model is calculated by the head skin temperature grade to reflect the multi-dimensional cognitive ability of the subject to be evaluated, and the cognitive performance grade is obtained.

[0037] According to one embodiment of the present application, the method comprises the following steps: comparing the cognitive performance grade with the set cognitive performance threshold value to determine whether a warning information needs to be issued.

[0038] According to another aspect of the present application, a storage medium comprising a series of instructions for executing the method steps of any one of the above is also provided.

[0039] According to another aspect of the present application, a high-temperature cognitive impairment evaluation system based on head skin temperature is also provided, which executes the method of any one of the above, and the system comprises:

[0040] a button-type temperature recorder for collecting head skin temperature data of the subject to be evaluated in real time;

[0041] a mobile terminal in wireless communication with the button-type temperature recorder, receiving the head skin temperature data, and executing the following steps:

[0042] determining the head skin temperature grade corresponding to the head skin temperature data according to the head skin temperature grade division standard;

[0043] determining the cognitive performance grade of the subject to be evaluated based on the cognitive evaluation model and the head skin temperature grade.

[0044] The high-temperature cognitive impairment evaluation method based on head skin temperature provided by the present application has the following advantages:

[0045] (1) The present application can evaluate the cognitive performance of the user by the head skin temperature, and the prior art does not have the technology of evaluating the cognitive performance by the head skin temperature.

[0046] (2) The present application only needs to measure one physiological parameter (head skin temperature) to realize real-time evaluation and monitoring of user cognitive performance, thereby providing protection for workers to work safely and efficiently in high temperature. The head skin temperature data is simple and easy to obtain, thereby reducing the difficulty of data acquisition and improving the popularization of the present application.

[0047] (3) The present application is based on a series of normal temperature and high temperature laboratory data, and is suitable for a wide temperature range (26℃-39℃) including normal temperature range and high temperature range, thereby having wide applicability and wider application range than the prior art.

[0048] (4) The cognitive evaluation model proposed in the present application has a fitting degree R 2 close to or greater than 0.8, indicating that the model fitting degree is good, and the cognitive performance can be evaluated by the head skin temperature value.

[0049] Other features and advantages of the present application will be set forth in the following description, and in part will become apparent to those skilled in the art from the description, or can be learned by practice of the present application. The objects and other advantages of the present application can be realized and achieved by the structure particularly pointed out in the specification, claims and drawings. BRIEF DESCRIPTION OF DRAWINGS

[0050] The accompanying drawings are included to provide a further understanding of the present application, and constitute a part of the specification, which together with the embodiments of the present application, serve to explain the present application, and do not constitute a limitation of the present application. In the drawings:

[0051] Figure 1 shows a framework diagram for evaluating cognitive performance of a conventional evaluator;

[0052] Figure 2 shows a flowchart of a prior art indoor thermal environment regulation method;

[0053] Figure 3 shows a flowchart of a high-temperature cognitive impairment evaluation method based on head skin temperature according to an embodiment of the present application;

[0054] Figure 4 shows a multi-dimensional cognitive test schematic diagram according to an embodiment of the present application;

[0055] Figures 5-12 shows a multi-dimensional cognitive evaluation model according to an embodiment of the present application;

[0056] Figure 13 shows a schematic diagram of interaction between a button-type temperature recorder and a mobile terminal according to an embodiment of the present application. DETAILED DESCRIPTION

[0057] In order to make the purposes, technical solutions and advantages of the present application clearer, the embodiments of the present application are further described in detail below with reference to the drawings.

[0058] The prior art (CN114469136A) provides a thermal comfort evaluation method, system and storage medium, which belongs to the technical field of detection. The thermal comfort and cognitive performance are evaluated simultaneously through the brain wave signals of a single measuring point, thereby solving the technical problems of inaccurate subjective evaluation method of thermal comfort, multiple brain wave measuring points and complex analysis, and inability of psychological cognitive test to evaluate cognitive performance in real time.

[0059] However, the prior art (CN114469136A) collects brain wave data of the subject through a brain wave measuring instrument, needs to set multiple electrodes on the body of the measured person, and the collection method of the brain wave data is complex, which is not suitable for a working scene.

[0060] In summary, the prior art has the following disadvantages: cognitive evaluation needs multiple parameters, some of which are not easy to measure (such as core temperature, brain wave, indoor air water partial pressure, etc.), and the promotion is weak. The evaluation result of cognition is more for the diagnosis of clinical diseases, rather than the influence of cognition on work efficiency. Compared with disease diagnosis, the evaluation of the influence of cognition on work efficiency requires physiological parameters and evaluation methods to be more sensitive to changes in cognitive performance. There is a lack of test data above 33℃, and its applicability in high temperature environment is questionable.

[0061] Figure 3 A flow chart of a high temperature cognitive impairment evaluation method based on head skin temperature according to one embodiment of the present application is shown.

[0062] As shown in Figure 3 Step S1, the head skin temperature data of the object to be evaluated is collected in real time. In one embodiment, the head skin temperature data is collected by a temperature collection device worn by the object to be evaluated. Further, the temple skin temperature of the object to be evaluated is collected as the head skin temperature data.

[0063] As shown in Figure 3As shown in step S2, according to the head skin temperature grade classification standard, the head skin temperature grade corresponding to the head skin temperature data is determined. In an embodiment, the head skin temperature grade classification standard is: the skin temperature value range of the 33 grade is [32.5, 33.5), the skin temperature value range of the 34 grade is [33.5, 34.5), the skin temperature value range of the 35 grade is [34.5, 35.5), the skin temperature value range of the 36 grade is [35.5, 36.5), and the skin temperature value range of the 37 grade is [36.5, 37.5), the skin temperature value range of the 38 grade is [37.5, 38.5). It should be noted that the head skin temperature grade classification standard is not unique. The above embodiment divides the head skin temperature in the range of 32.5-38.5℃ into 6 categories, and the head skin temperature in the range of 32.5-38.5℃ can also be divided into 10 categories or other number of segments for modeling, and the present application does not limit this.

[0064] As shown in step S3, based on the cognitive evaluation model, the cognitive performance grade of the to-be-evaluated object is determined in combination with the head skin temperature grade. Figure 3

[0065] In an embodiment, the cognitive evaluation model is constructed through steps S311 to S314. Specifically:

[0066] In step S311, under the experimental scenario, the multi-dimensional test scores obtained after multi-dimensional cognitive tests of personnel under different working conditions and the corresponding head skin temperature values are collected. Specifically, a series of climate chamber experiments are used to obtain the cognitive test scores of personnel under different working conditions at normal temperature and high temperature environments, and the head skin temperature values in the corresponding time period are collected. Specifically, in the experimental preparation stage, medical pressure-sensitive adhesive tape is used to paste the button-type temperature recorder to the corresponding skin measurement point of the subject to ensure close contact with the skin surface, and the local skin temperature is continuously measured and recorded.

[0067] In an embodiment, different working conditions include but are not limited to: sitting posture office work, computer operation, walking at a medium pace, construction work, and farm labor, etc. In an embodiment, the multi-dimensional cognitive test includes any one or any combination of the following: semantic interference and visual perception ability test, working memory ability test, numerical calculation ability test, spatial positioning ability test, long-term memory ability test, visual scanning and attention concentration ability test, perception and spatial reasoning ability test.

[0068] Further, as shown in step S312, the cognitive evaluation model is constructed by using the multi-dimensional test scores and the corresponding head skin temperature values as the input data, and the cognitive performance grade as the output data. Figure 4 ​As shown, the multi-dimension cognitive tests used in the experiment include Stroop (word color interference) test, visual learning test, addition test, multiplication test, redirection test, typing test, d2 test, Overlapping test, and Visual react test. Among them, the Stroop test reflects semantic interference and visual perception ability, the visual learning test reflects attention, working memory, learning speed, and perceptual ability, the addition test and multiplication test reflect thinking ability and numerical calculation ability, the redirection test reflects spatial positioning ability, the typing test reflects long-term memory ability, the d2 test reflects visual scanning, attention, and degree of mental concentration, and the Overlapping test reflects perceptual ability, spatial recognition ability, and spatial reasoning ability.

[0069] In step S312, the multi-dimension test scores are processed by dimensionless processing to eliminate individual differences, and cognitive evaluation modeling data are obtained. In an embodiment, the dimensionless processing is performed by the following formula:

[0070] Accuracy relative =Accuracy i / Accuracy max

[0071] wherein, Accuracy relative represents the test score after dimensionless processing; Accuracy i represents the absolute accuracy of each subject in completing the cognitive test; and Accuracy max represents the highest accuracy of the subject in completing all tests of the cognitive test.

[0072] In step S313, based on the cognitive evaluation modeling data, the multi-dimension average test scores corresponding to each head skin temperature grade are calculated. Specifically, after the dimensionless processing in step S312, the cognitive evaluation modeling data contain the head skin temperature values and the test scores after dimensionless processing (cognitive test accuracy), and it is necessary to determine which head skin temperature grade the head skin temperature values belong to. For all head skin temperature value data corresponding to a single head skin temperature grade and a single ability test, the average cognitive test accuracy is calculated to determine the multi-dimension average test scores corresponding to the single head skin temperature grade.

[0073] In step S314, the head skin temperature level data and the corresponding multi-dimensional average test score data are fitted by the selected fitting function to obtain a cognitive evaluation model. Specifically, the change rule of the head skin temperature-cognitive performance is a quadratic function change, so a quadratic function is used as the fitting function to determine the fitting curve of the cognitive performance and the head skin temperature level, so as to obtain the cognitive evaluation model. In addition, an exponential function can also be used for modeling to determine the fitting curve of the cognitive performance and the head skin temperature level, so as to obtain the cognitive evaluation model.

[0074] In one embodiment, the cognitive evaluation model includes a semantic interference and visual perception cognitive evaluation model (such as Figure 5 ), a working memory cognitive evaluation model (such as Figure 6 ), an addition mental calculation cognitive evaluation model (such as Figure 7 ), a multiplication mental calculation cognitive evaluation model (such as Figure 8 ), a spatial orientation cognitive evaluation model (such as Figure 9 ), a long-term memory cognitive evaluation model (such as Figure 10 ), a visual scanning and attention concentration cognitive evaluation model (such as Figure 11 ), a perception and spatial reasoning cognitive evaluation model (such as Figure 12 ).

[0075] Specifically, the semantic interference and visual perception cognitive evaluation model:

[0076] Y1 = -0.0102x 2 + 0.7064x - 11.239

[0077] Specifically, the working memory cognitive evaluation model:

[0078] Y2 = -0.0079x 2 + 0.5455x - 8.4426

[0079] Specifically, the addition mental calculation cognitive evaluation model:

[0080] Y3 = -0.0125x 2 + 0.8667x - 14.0481

[0081] Specifically, the multiplication mental calculation cognitive evaluation model:

[0082] Y4 = -0.0077x 2 + 0.5315x - 8.2735

[0083] Specifically, the spatial orientation cognitive evaluation model:

[0084] Y5 = -0.013x 2 + 0.8999x - 14.5721

[0085] Specifically, the long-term memory cognitive evaluation model is:

[0086] Y6 = -0.0008x + 0.0577x - 0.0093 2

[0087] Specifically, the visual scanning and attention concentration cognitive evaluation model is:

[0088] Y7 = -0.00004x + 0.0012x + 0.9921 2

[0089] Specifically, the perception and spatial reasoning cognitive evaluation model is:

[0090] Y8 = -0.0025x + 0.1676x - 1.8673 2

[0091] Y1 represents the relative accuracy of the semantic interference and visual perception ability test; Y2 represents the relative accuracy of the working memory ability test; Y3 represents the relative accuracy of the addition mental arithmetic ability test; Y4 represents the relative accuracy of the multiplication mental arithmetic ability test; Y5 represents the relative accuracy of the spatial orientation ability test; Y6 represents the relative accuracy of the long-term memory ability test; Y7 represents the relative accuracy of the visual scanning and attention concentration ability test; Y8 represents the relative accuracy of the perception and spatial reasoning ability test; and x represents the head skin temperature level.

[0092] As shown in Figures 5 to 12 , the goodness-of-fit R 2 of each cognitive evaluation model is close to or greater than 0.8, indicating that the model fitting degree is good, and the cognitive performance level under each working condition can be better evaluated by the head skin temperature level.

[0093] In one embodiment, the cognitive performance level of the to-be-evaluated object is determined by the following steps: in actual use, the relative accuracy corresponding to each cognitive evaluation model is calculated by the head skin temperature level to reflect the multi-dimensional cognitive ability of the to-be-evaluated object, and the cognitive performance level is obtained.

[0094] In one embodiment, after obtaining the cognitive performance level of the to-be-evaluated object, the cognitive performance level is compared with the set cognitive performance threshold to determine whether a warning information needs to be sent. Specifically, the cognitive performance threshold is set by the employing unit, and when the set cognitive performance threshold is reached, the buzzer and alarm in the mobile intelligent device of the worker will issue an alarm to remind the worker to pay attention to work safety or stop working.

[0095] ​​​In summary, the present application only needs to measure one physiological parameter (head skin temperature) to realize real-time evaluation and monitoring of cognitive performance of a user, thereby providing protection for safe and efficient work of workers in high temperature; the head skin temperature data is simple and easy to obtain, thereby reducing the difficulty of data acquisition and improving the generalization of the evaluation method; the present application is proposed for personnel work safety and work efficiency, and is more sensitive to changes in cognitive performance than cognitive evaluation methods for disease diagnosis, and is more suitable for evaluation of cognitive changes of personnel during work; the present application is proposed based on normal temperature and high temperature working environment, and the temperature range is 26-39℃, thereby having wide applicability; the present application takes the international standard ISO8996 skin temperature as a physiological parameter for determining the activity of personnel, explores the direct relationship between skin temperature and cognitive performance, and can reduce the steps for determining the activity of personnel and simplify the data collection process.

[0096] The high-temperature cognitive impairment evaluation method based on head skin temperature provided by the present application can also be matched with a computer-readable storage medium, and the computer program is stored on the storage medium. The computer program is executed to run a high-temperature cognitive impairment evaluation method based on head skin temperature. The computer program can run computer instructions, and the computer instructions include computer program codes, which can be in the form of source code, object code, executable files or some intermediate forms, etc.

[0097] The computer-readable storage medium can include any entity or device capable of carrying computer program codes, recording medium, U disk, mobile hard disk, magnetic disk, optical disk, computer memory, read-only memory (ROM), random access memory (RAM), electrical carrier signal, telecommunication signal and software distribution medium, etc.

[0098] It should be noted that the content contained in the computer-readable storage medium can be appropriately increased or decreased according to the requirements of legislation and patent practice in the jurisdiction, for example, in some jurisdictions, according to legislation and patent practice, the computer-readable storage medium does not include electrical carrier signals and telecommunication signals.

[0099] Figure 13 A schematic diagram of interaction between a button-type temperature recorder and a mobile terminal according to an embodiment of the present application is shown.

[0100] A high-temperature cognitive impairment evaluation system based on head skin temperature executes a high-temperature cognitive impairment evaluation method based on head skin temperature, which comprises a button-type temperature recorder and a mobile terminal. The button-type temperature recorder is used to collect head skin temperature data of a to-be-evaluated object in real time. The mobile terminal communicates with the button-type temperature recorder wirelessly, receives the head skin temperature data, and performs the following steps: according to a head skin temperature grade division standard, the head skin temperature grade corresponding to the head skin temperature data is determined; based on a cognitive evaluation model, the cognitive performance grade of the to-be-evaluated object is determined in combination with the head skin temperature grade.

[0101] In one embodiment, a cognitive performance threshold value formulated by an employing unit is used. When the set cognitive performance threshold value is reached, the buzzer and alarm in the mobile intelligent device of the worker will issue an alarm to remind the worker to pay attention to work safety or stop work, such as Figure 13 .

[0102] In summary, the high-temperature cognitive impairment evaluation method based on head skin temperature provided by the present application has the following advantages:

[0103] (1) The present application can evaluate the cognitive performance of a user through head skin temperature. The prior art does not have a technology capable of evaluating cognitive performance using head skin temperature.

[0104] (2) The present application only needs to measure one physiological parameter (head skin temperature) to realize real-time evaluation and monitoring of the cognitive performance of a user, thereby providing protection for workers to work safely and efficiently in high temperatures. The head skin temperature data is simple and easy to obtain, which reduces the difficulty of obtaining data and improves the popularization of the present application.

[0105] (3) The present application is based on a series of normal-temperature and high-temperature laboratory data. The applicable temperature range (26℃-39℃) not only includes the normal-temperature range but also includes the high-temperature range, which has a wide range of applications and a wider range of applications than the prior art.

[0106] (4) The goodness of fit R 2 of the cognitive evaluation model proposed by the present application is close to or greater than 0.8, indicating that the goodness of fit of the model is good and the cognitive performance can be evaluated through the head skin temperature value.

[0107] According to another aspect of the present application, there is also provided an evaluation method for head skin temperature and cognitive performance at normal temperature.

[0108] At normal temperature, head skin temperature data is collected by a temperature collection device worn by the to-be-evaluated object. Further, the temple and forehead skin temperature of the to-be-evaluated object is collected as the head skin temperature data.

[0109] At normal temperature, the head skin temperature data corresponding to the head skin temperature grade is determined according to the head skin temperature grade division standard. Further, the head skin temperature grade division standard is that: the skin temperature numerical range of the 27 temperature grade is [26.5, 27.5), the skin temperature numerical range of the 28 temperature grade is [27.5, 28.5), the skin temperature numerical range of the 29 temperature grade is [28.5, 29.5), the skin temperature numerical range of the 30 temperature grade is [29.5, 30.5), the skin temperature numerical range of the 31 temperature grade is [30.5, 31.5), the skin temperature numerical range of the 32 temperature grade is [31.5, 32.5), the skin temperature numerical range of the 33 temperature grade is [32.5, 33.5), the skin temperature numerical range of the 34 temperature grade is [33.5, 34.5), the skin temperature numerical range of the 35 temperature grade is [34.5, 35.5), and the skin temperature numerical range of the 36 temperature grade is [35.5, 36.5). It should be noted that the head skin temperature grade division standard is not unique, and the above embodiment divides the head skin temperature in the range of 26.5-36.5°C into 10 categories, and the head skin temperature in the range of 32.5-38.5°C can also be divided into 6 categories or other number of segments for modeling, and the present application does not limit this.

[0110] At normal temperature, the cognitive performance grade of the to-be-evaluated object is determined based on the cognitive evaluation model and in combination with the head skin temperature grade. Specifically, in the experimental scenario, the multi-dimensional test scores obtained after the personnel perform multi-dimensional cognitive tests under different working conditions and the corresponding head skin temperature values are collected. Further, the multi-dimensional cognitive tests include but are not limited to high-load tests, low-load tests, consistent tests, and inconsistent tests.

[0111] In one embodiment, the statistical analysis result is obtained by using the SPSS software and is shown in Tables 1 and 2: The analysis result shows that at normal temperature, there is no significant difference in cognitive tests under different head skin temperature levels, and therefore the damage to cognitive performance at normal temperature is not obvious.

[0112] Table 1 Relative performance % (average value ± standard deviation) of cognitive tests under different forehead temperature grades

[0113]

[0114] Table 2 Relative performance % (average value ± standard deviation) of cognitive tests under different temple temperature grades

[0115]

[0116]

[0117] It is to be understood that the embodiments disclosed herein are not limited to particular structures, process steps, or materials disclosed herein but are extended to equivalents thereof as would be recognized by those skilled in the relevant arts. It will also be understood that the terminology used herein is for the purpose of describing particular embodiments only and is not intended to be limiting.

[0118] In the description of the present application, unless otherwise stated, the meaning of "a plurality" is two or more; the terms "upper", "lower", "left", "right", "inner", "outer", "front end", "rear end", "head", "tail" and the like indicate the orientation or positional relationship as shown in the drawings based on the orientation or positional relationship shown in the drawings, and are only for the purpose of facilitating the description of the present application and simplifying the description, and do not indicate or imply that the device or element referred to must have a particular orientation, be constructed and operated in a particular orientation, and therefore cannot be understood as limiting the present application. In addition, the terms "first", "second", "third" and the like are only for the purpose of description and cannot be understood as indicating or implying relative importance.

[0119] In the description of the present application, it should be noted that, unless otherwise specified and limited, the terms "connected", "connected" should be understood broadly, for example, it can be fixedly connected, or it can be detachably connected, or integrally connected; it can be mechanically connected, or it can be electrically connected; it can be directly connected, or it can be indirectly connected through an intermediate medium. For those skilled in the art, the specific meaning of the above terms in the present application can be understood according to the specific circumstances.

[0120] Certain terms are used throughout the present application to refer to particular system components. As one skilled in the art will appreciate, the same component can be referred to by different names and can not be referred to as such throughout the present application. In the present application, the terms "comprise", "include" and "have" are used in an open form and therefore should be interpreted as meaning "including but not limited to...". In addition, the terms "substantially", "essentially" or "approximately" that can be used herein relate to the industry-accepted tolerances for the corresponding terms. As the term "coupled" can be used herein, it includes direct coupling and indirect coupling via another component, element, circuit, or module, wherein for indirect coupling, the component, element, circuit, or module intervening does not alter the information of the signal but can adjust the current level, voltage level, and / or power level thereof. The inferred coupling (e.g., where one element is coupled to another element by inference) includes direct and indirect coupling between the two elements in the same way as "coupled".

[0121] Reference in the specification to "one embodiment" or "an embodiment" means that a particular feature, structure, or characteristic described in connection with the embodiment is included in at least one embodiment of the application. The appearances of the phrase "in one embodiment" or "an embodiment" in various places in the specification are not necessarily all referring to the same embodiment.

[0122] Embodiments of the present application are presented by way of example and not limitation. Many modifications and variations of the embodiments described herein will be apparent to those of ordinary skill in the art. The embodiments were chosen and described in order to best explain the principles of the application and its practical application, and to thereby enable others skilled in the art to best utilize the application in various embodiments and with various modifications as are suited to the particular use contemplated.

[0123] Although the present application has been disclosed in connection with the embodiments shown and described above, it should be understood that the application is not limited to the embodiments disclosed but rather, can be practiced with modification and alteration within the spirit and scope of the present application. Accordingly, the application is not limited to that described herein, but is only limited by the claims which follow.

Claims

1. A method for evaluating high temperature cognitive impairment based on head skin temperature, characterized by, The method comprises the following steps: Real-time acquisition of head skin temperature data of the subject to be evaluated; According to the head skin temperature grade division standard, the head skin temperature grade corresponding to the head skin temperature data is determined; Based on the cognitive evaluation model, the cognitive performance grade of the subject to be evaluated is determined in combination with the head skin temperature grade; The head skin temperature grade division standard is: the skin temperature numerical range of 33 grades is [32.5, 33.5), the skin temperature numerical range of 34 grades is [33.5, 34.5), the skin temperature numerical range of 35 grades is [34.5, 35.5), the skin temperature numerical range of 36 grades is [35.5, 36.5), the skin temperature numerical range of 37 grades is [36.5, 37.5), and the skin temperature numerical range of 38 grades is [37.5, 38.5); The cognitive performance grade of the subject to be evaluated is determined by the following steps: in actual use, the relative accuracy rate corresponding to each cognitive evaluation model is calculated based on the head skin temperature grade to reflect the multi-dimensional cognitive ability of the subject to be evaluated, and the cognitive performance grade is obtained.

2. The method for evaluating high temperature-induced cognitive impairment based on the skin temperature of the head according to claim 1, characterized by, The method comprises the following steps: the head skin temperature data is acquired by the temperature acquisition device worn by the subject to be evaluated.

3. The method of claim 1, wherein the method is a method of evaluating high temperature cognitive impairment based on the skin temperature of the head. The cognitive evaluation model is constructed by the following steps: Under the experimental scene, the multi-dimensional test scores and the corresponding head skin temperature values of the collected personnel after multi-dimensional cognitive testing under different working conditions are obtained; The multi-dimensional test scores are dimensionless processed to eliminate individual differences, and cognitive evaluation modeling data is obtained; Based on the cognitive evaluation modeling data, the multi-dimensional average test scores corresponding to each head skin temperature grade are calculated; The cognitive evaluation model is obtained by fitting the head skin temperature grade data and the corresponding multi-dimensional average test score data with a selected fitting function.

4. The method of claim 1, wherein the method is a method of evaluating high temperature cognitive impairment based on the skin temperature of the head. The multi-dimensional cognitive test comprises any one or any combination of the following: semantic interference and visual perception ability test, working memory ability test, numerical calculation ability test, spatial positioning ability test, long-term memory ability test, visual scanning and attention concentration ability test, perception and spatial reasoning ability test.

5. The method of claim 4, wherein the method is a method of evaluating high temperature cognitive impairment based on the skin temperature of the head. The cognitive evaluation model comprises: Semantic interference and visual perception cognitive evaluation model: Working memory cognitive evaluation model: Addition calculation cognitive evaluation model: Multiplication calculation cognitive evaluation model: Spatial positioning cognitive evaluation model: Long-term memory cognitive evaluation model: Visual scanning and attention concentration cognitive evaluation model: Perception and spatial reasoning cognitive evaluation model: wherein, represents the relative accuracy of the semantic interference and visual perception ability test; represents the relative accuracy of the working memory ability test; represents the relative accuracy of the addition mental arithmetic ability test; represents the relative accuracy of the multiplication mental arithmetic ability test; represents the relative accuracy of the spatial orientation ability test; represents the relative accuracy of the long-term memory ability test; represents the relative accuracy of the visual scanning and concentration ability test; represents the relative accuracy of the perception and spatial reasoning ability test; represents the head skin temperature level.

6. A high temperature impairment of cognition evaluation method based on head skin temperature according to any one of claims 1 to 5, characterized in that, The method comprises the following steps: comparing the cognitive performance grade with the set cognitive performance threshold value to determine whether a warning information needs to be issued.

7. A storage medium, characterized by It comprises a series of instructions for executing the method steps of any one of claims 1-6.

8. A high temperature impairment evaluation system based on head skin temperature, characterized by, The system comprises: A button-type temperature recorder is used to acquire the head skin temperature data of the subject to be evaluated in real time. A mobile terminal, which is in wireless communication with the button-type temperature recorder, receives the head skin temperature data and performs the following steps: According to the head skin temperature grade classification standard, the head skin temperature data corresponding to the head skin temperature grade is determined; Based on the cognitive evaluation model, the cognitive performance grade of the to-be-evaluated object is determined in combination with the head skin temperature grade.

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