A method and system for evaluating thermal sensation and cognitive performance based on heart rate

Abstract

The application provides a method for evaluating thermal sensation and cognitive performance based on heart rate, which comprises: collecting heart rate data of an object to be evaluated in real time; determining a heart rate level corresponding to the heart rate data according to a heart rate level division standard; and determining a thermal sensation level and a cognitive performance level of the object to be evaluated based on a thermal sensation evaluation model and a cognitive evaluation model in combination with the heart rate level. The application only needs to measure one physiological parameter (heart rate) to realize real-time evaluation and monitoring of thermal sensation and cognitive performance of a user, thereby providing protection for safe and efficient work of workers in high temperature. The heart rate 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] This invention relates to the field of thermal sensation and cognitive performance evaluation technology, and more specifically, to a method and system for evaluating thermal sensation and cognitive performance based on heart rate. Background Technology

[0002] With the increasing frequency of global heat waves, human safety in high-temperature environments has become a major concern. Climate chamber experiments have shown a significant decline in cognitive test scores under high temperatures, indicating impaired cognitive performance. Cognitive impairment caused by high temperatures is considered a major cause of decreased work efficiency and increased accidents. Furthermore, previous research by the applicant has found that cognitive impairment from high temperatures occurs earlier than physiological safety limits. Therefore, real-time monitoring and evaluation of cognitive performance should be a crucial measure to ensure safety in high-temperature environments.

[0003] Thermal perception is a subjective evaluation of the temperature of a thermal environment by individuals, and it can reflect the impact of the thermal environment on individuals to a certain extent. For example... Figure 1 As shown, the main traditional methods for evaluating thermal sensation and cognitive performance are psychological scales or cognitive tests. Because these methods, commonly used in laboratories, require subjects to complete questionnaires or tests with accurate understanding, they are almost impossible to apply to evaluating cognitive performance in real-world high-temperature environments, and also cannot achieve real-time monitoring of cognitive performance.

[0004] Unlike psychological scales or tests, human physiological parameters can be continuously measured. Some existing studies have incorporated physiological parameters into systems evaluating thermal sensation or cognition. For example... Figure 2 As shown, the existing technology (CN112032971A) primarily uses environmental parameters, supplemented by physiological parameters, and calculates and estimates the user's thermal sensation through a series of algorithmic models to control the air conditioning system. Predictions and estimations of user cognitive performance are mostly achieved using electroencephalograms or a combination of multiple physiological parameters, and are more targeted at clinical diseases than the impact of cognition on work efficiency.

[0005] Furthermore, existing thermal sensation and cognitive evaluation systems are more applicable to normal temperature environments, and lack widespread applicability to high-temperature environments, especially those at 33°C and above.

[0006] To address the problems of existing technologies, this invention provides a method and system for evaluating thermal sensation and cognitive performance based on heart rate. Summary of the Invention

[0007] To address the problems of the prior art, the present invention provides a method for evaluating thermal sensation and cognitive performance based on heart rate, the method comprising the following steps:

[0008] Collecting heart rate data of the subject to be evaluated in real time;

[0009] According to the heart rate level classification standard, the heart rate level corresponding to the heart rate data is determined;

[0010] Based on the thermal sensation evaluation model and the cognitive evaluation model, the thermal sensation level and the cognitive performance level of the subject to be evaluated are determined in combination with the heart rate level.

[0011] According to one embodiment of the present application, the method comprises the following steps: collecting the heart rate data through a portable heart rate sensing device worn by the subject to be evaluated.

[0012] According to one embodiment of the present application, the heart rate level classification standard is: the heart rate value range of 60 levels is [45, 65), the heart rate value range of 70 levels is [65, 75), the heart rate value range of 80 levels is [75, 85), the heart rate value range of 90 levels is [85, 95), the heart rate value range of 100 levels is [95, 105), the heart rate value range of 110 levels is [105, 115), and the heart rate value range of 120 levels is [115, 145).

[0013] According to one embodiment of the present application, the thermal sensation evaluation model is constructed by the following steps:

[0014] Under the experimental scenario, the thermal sensation voting values and the corresponding heart rate values of the personnel under different working conditions and different activity intensity conditions are collected;

[0015] The thermal sensation voting values and the heart rate values are subjected to outlier rejection to obtain low-noise effective data;

[0016] Based on the effective data, the average thermal sensation level corresponding to each heart rate level is calculated;

[0017] The heart rate level data and the corresponding average thermal sensation level data are fitted through a selected fitting function to obtain the thermal sensation evaluation model.

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

[0019] Thermal sensation evaluation model under low-intensity activity:

[0020] y1=-0.0003x 2 +0.1018x-4.9181

[0021] Thermal sensation evaluation model under moderate-intensity activity:

[0022] y2=-0.0002x 2+0.0857x-4.1927

[0023] Where y1 represents the thermal sensation level under low-intensity activity; y2 represents the thermal sensation level under moderate-intensity activity; and x represents the heart rate level.

[0024] According to an embodiment of the present invention, the cognitive evaluation model is constructed through the following steps:

[0025] In the experimental scenario, the multidimensional test scores and corresponding heart rate values ​​were obtained after the personnel under different working conditions and multidimensional cognitive tests.

[0026] The multi-dimensional test scores are processed to eliminate individual differences and obtain cognitive evaluation modeling data.

[0027] Based on the cognitive evaluation modeling data, the multi-dimensional average test score corresponding to each heart rate level was calculated.

[0028] By using the selected fitting function, the heart rate level data and the corresponding multi-dimensional average test score data are fitted to obtain the cognitive evaluation model.

[0029] According to one embodiment of the present invention, the multidimensional cognitive test includes any one or any combination of the following: semantic interference ability test, visual perception ability test, thinking ability test, attention test, spatial positioning ability test, and long-term memory ability test.

[0030] According to an embodiment of the present invention, the method includes the following steps: determining whether a warning message needs to be issued based on the thermal sensation level and the cognitive performance level.

[0031] According to another aspect of the invention, a storage medium is also provided, which includes a series of instructions for performing the steps of the method described in any of the preceding claims.

[0032] According to another aspect of the invention, a system for evaluating thermal sensation and cognitive performance based on heart rate is also provided, performing the method as described in any of the preceding claims, the system comprising:

[0033] A heart rate sensor, used to collect heart rate data of the subject being evaluated in real time;

[0034] A mobile terminal wirelessly communicates with the heart rate sensor, receives the heart rate data, and performs the following steps:

[0035] Based on the heart rate classification standard, determine the heart rate level corresponding to the heart rate data;

[0036] Based on the thermal sensation evaluation model and the cognitive evaluation model, and combined with the heart rate level, the thermal sensation level and cognitive performance level of the subject to be evaluated are determined.

[0037] The present invention provides a method and system for evaluating thermal sensation and cognitive performance based on heart rate, which has the following advantages:

[0038] (1) The present invention can evaluate a user’s thermal sensation and cognitive performance simultaneously by heart rate. The prior art does not have a technology that can evaluate thermal sensation and cognitive performance simultaneously.

[0039] (2) This invention only requires measuring one physiological parameter (heart rate) to achieve real-time evaluation and monitoring of the user's thermal sensation and cognitive performance, providing a guarantee for workers to work safely and efficiently in high temperatures. Heart rate data is simple and readily available, reducing the difficulty of data acquisition and improving the applicability of this invention.

[0040] (3) This invention is based on a series of laboratory data at normal and high temperatures. The applicable temperature range (26℃-39℃) includes not only the normal temperature range but also the high temperature range, and has a wide range of applications, which is more applicable than the existing technology.

[0041] (4) The goodness of fit R of the thermal sensation model and cognitive evaluation model proposed in this invention 2 All values ​​being close to or greater than 0.8 indicate that the model has a good fit and can effectively evaluate cognitive performance and thermal sensation at various activity intensities through heart rate values.

[0042] (5) Existing technologies only use heart rate as a parameter to calculate the metabolic rate (activity intensity) of personnel. Other parameters need to be introduced to evaluate cognitive performance and thermal sensation. However, the present invention only needs to collect heart rate as a physiological parameter to complete the real-time evaluation and monitoring of thermal sensation and cognitive performance. It is convenient, fast and economical.

[0043] Other features and advantages of the invention will be set forth in the description which follows, and will be apparent in part from the description, or may be learned by practicing the invention. The objects and other advantages of the invention may be realized and obtained by means of the structures particularly pointed out in the description, claims and drawings. Attached Figure Description

[0044] The accompanying drawings are provided to further illustrate the invention and form part of the specification. They are used in conjunction with the embodiments of the invention to explain the invention and do not constitute a limitation thereof. In the drawings:

[0045] Figure 1 This diagram illustrates the framework of traditional evaluators' thermal sensation and cognitive performance.

[0046] Figure 2A flowchart of existing indoor thermal environment control methods is shown;

[0047] Figure 3 A flowchart of a method for evaluating thermal sensation and cognitive performance based on heart rate according to an embodiment of the present invention is shown;

[0048] Figure 4 This illustrates a thermal sensation rating system according to an embodiment of the present invention;

[0049] Figure 5 A thermal sensation evaluation model under low-intensity activity according to an embodiment of the present invention is shown;

[0050] Figure 6 A thermal sensation evaluation model under moderate-intensity activity according to an embodiment of the present invention is shown;

[0051] Figures 7-14 A schematic diagram of a multidimensional cognitive test according to an embodiment of the present invention is shown;

[0052] Figures 15-21 A multi-dimensional cognitive evaluation model according to an embodiment of the present invention is shown;

[0053] Figure 22 A system architecture block diagram of a heart rate-based assessment of thermal sensation and cognitive performance according to an embodiment of the present invention is shown;

[0054] Figure 23 A schematic diagram of a mobile terminal app according to an embodiment of the present invention is shown;

[0055] Figure 24 A schematic diagram illustrating the interaction between a heart rate sensor and a mobile terminal according to an embodiment of the present invention is shown. Detailed Implementation

[0056] To make the objectives, technical solutions, and advantages of the present invention clearer, the embodiments of the present invention will be further described in detail below with reference to the accompanying drawings.

[0057] The existing technology (CN113598789A) provides a cross-individual thermal comfort discrimination method based on electroencephalogram (EEG) signals. It sets up two indoor experimental environments: a comfortable environment and a thermal environment. Subjects undergo comfort perception experiments in each environment for a period of time, while all environmental parameters remain constant throughout the experiment. EEG data is collected from the subjects using an EEG detection device, and a questionnaire survey is conducted to collect sensory evaluation data on environmental comfort. A neural network model for thermal comfort evaluation is established. The collected EEG data and corresponding sensory evaluation data are compiled into a sample set, which is divided into two parts: one part serves as a training set, and the other as a test set, for training and testing the thermal comfort evaluation neural network model, respectively.

[0058] However, the existing technology (CN113598789A) collects the subject's brainwave data through brainwave detection equipment, which requires setting multiple electrodes on the subject's body. The method of collecting brainwave data is complicated. In addition to collecting brainwave data, the subject also needs to complete a questionnaire survey, which is not suitable for the work environment.

[0059] In summary, existing technologies have the following drawbacks: The evaluation of thermal sensation and cognition requires multiple parameters, some of which are difficult to measure (such as core temperature, EEG, and indoor air moisture pressure), limiting their general applicability. Cognitive evaluation results are more geared towards the diagnosis of clinical diseases than the impact of cognition on work efficiency. Compared to disease diagnosis, evaluating the impact of cognition on work efficiency requires physiological parameters and evaluation methods to be more sensitive to changes in cognitive performance. The lack of testing data at temperatures above 33°C raises questions about its applicability in high-temperature environments.

[0060] Figure 3 A flowchart of a method for evaluating thermal sensation and cognitive performance based on heart rate according to an embodiment of the present invention is shown.

[0061] like Figure 3 As shown, in step S1, the heart rate data of the subject to be evaluated is collected in real time. In one embodiment, the heart rate data is collected using a portable heart rate sensing device worn by the subject to be evaluated.

[0062] like Figure 3As shown, in step S2, the heart rate level corresponding to the heart rate data is determined according to the heart rate level classification standard. In one embodiment, the heart rate level classification standard is as follows: the heart rate value range for level 60 is [45, 65), for level 70 it is [65, 75), for level 80 it is [75, 85), for level 90 it is [85, 95), for level 100 it is [95, 105), for level 110 it is [105, 115), and for level 120 it is [115, 145]. It should be noted that the heart rate level classification standard is not unique. The above embodiment divides the heart rate value in the range of 45-145 bpm into 7 categories. It is also possible to divide the heart rate value in the range of 45-145 bpm into 10 categories or other numbers of segments for modeling. This invention does not impose any limitations on this.

[0063] like Figure 3 As shown, in step S3, based on the thermal sensation evaluation model and the cognitive evaluation model, and combined with the heart rate level, the thermal sensation level and cognitive performance level of the subject to be evaluated are determined.

[0064] In one embodiment, a thermal sensation evaluation model is constructed through steps S311 to S314, specifically:

[0065] In step S311, under experimental conditions, thermal perception votes and corresponding heart rate values ​​are collected from personnel under different working conditions and activity intensities. Specifically, a series of climate chamber experiments are conducted in both normal and high-temperature environments to obtain thermal perception votes from personnel under different working conditions and activity intensities, and heart rate values ​​are collected for corresponding time periods. Furthermore, based on experimental data from personnel under medium and low activity intensities, various work scenarios are adapted. In one embodiment, different working conditions and activity intensities include, but are not limited to: low-intensity activities such as seated paperwork and computer operation, and medium-intensity activities such as moderate-speed walking, construction site work, and farm labor.

[0066] In one embodiment, such as Figure 4 The heat sensation level is divided into nine levels: +4 very hot, +3 hot, +2 warm, +1 slightly warm, 0 neutral, -1 slightly cool, -2 cool, -3 cold, and -4 very cold.

[0067] In step S312, outlier removal is performed on the thermal sensation voting values ​​and heart rate values ​​to obtain low-noise valid data. Specifically, it is necessary to remove obviously illogical noisy data to obtain low-noise valid data. Furthermore, the Laida method is used to remove outliers from the collected data to obtain low-noise valid data.

[0068] In step S313, the average thermal sensation level corresponding to each heart rate level is calculated based on the valid data. Specifically, after the noise reduction process in step S312, the valid data includes valid heart rate data and valid thermal sensation voting value data. It is necessary to determine which heart rate level each valid heart rate data belongs to. For all valid heart rate data within a single heart rate level, the corresponding average thermal sensation voting value is calculated to determine the average thermal sensation level corresponding to that single heart rate level.

[0069] In step S314, the heart rate level data and the corresponding average thermal sensation level data are fitted using a selected fitting function to obtain a thermal sensation evaluation model. Specifically, the change in heart rate and thermal sensation follows a quadratic function pattern; therefore, a quadratic function is used as the fitting function to determine the fitting curves of thermal sensation and heart rate at various activity intensities, thus obtaining the thermal sensation evaluation model. Alternatively, an exponential function can also be used for modeling to determine the fitting curves of thermal sensation and heart rate at various activity intensities, thereby obtaining the thermal sensation evaluation model.

[0070] In one embodiment, the thermal sensation evaluation model includes: a thermal sensation evaluation model for low-intensity activity (such as...). Figure 5 ) and thermal sensation assessment models under moderate-intensity activities (such as Figure 6 ).

[0071] Specifically, the thermal sensation evaluation model under low-intensity activity includes the following formula:

[0072] y1 = -0.0003x 2 +0.1018x-4.9181

[0073] Specifically, the thermal sensation evaluation model under moderate-intensity activity includes the following formula:

[0074] y2 = -0.0002x 2 +0.0857x-4.1927

[0075] Where y1 represents the thermal sensation level under low-intensity activity; y2 represents the thermal sensation level under moderate-intensity activity; and x represents the heart rate level.

[0076] like Figure 5 as well as Figure 6 As shown, the goodness of fit R0 of the thermal sensation evaluation model under low-intensity activity and the thermal sensation evaluation model under moderate-intensity activity are... 2 A value greater than 0.8 indicates that the model has a good fit and can effectively evaluate thermal sensation at various activity intensities through heart rate levels.

[0077] In one embodiment, a cognitive evaluation model is constructed through steps S321 to S324, specifically:

[0078] In step S321, under experimental conditions, the multidimensional cognitive test scores and corresponding heart rate values ​​of personnel are collected after undergoing multidimensional cognitive tests under different working conditions. Specifically, a series of climate chamber experiments are conducted in normal and high-temperature environments to obtain the cognitive test scores of personnel under different working conditions, and heart rate values ​​are collected for the corresponding time periods. In one embodiment, different working conditions include, but are not limited to: seated paperwork, computer operation, moderate walking speed, construction site work, and farm labor. In one embodiment, the multidimensional cognitive test includes any one or any combination of the following: semantic interference ability test, visual perception ability test, thinking ability test, attention test, spatial positioning ability test, and long-term memory ability test.

[0079] Furthermore, the experiment employed multidimensional cognitive tests, including the Stroop test (such as...). Figure 7 ), visual learning tests (such as Figure 8 ), addition test (such as Figure 9 ), multiplication testing (such as Figure 10 Overlapping test (e.g.) Figure 11 ), redirection test (such as Figure 12 ), typing test (such as Figure 13 ), d2 test (such as Figure 14 Among them, the Stroop test reflects semantic interference and visual perception ability; the visual learning test reflects attention, working memory, learning speed, and perception; the addition and multiplication tests reflect thinking ability and numerical calculation ability; the overlapping test reflects perception and spatial recognition ability; the redirection test reflects spatial positioning ability; the typing test reflects long-term memory ability; and the d2 test reflects attention and concentration.

[0080] In step S322, the multi-dimensional test scores are dimensionless to eliminate individual differences and obtain cognitive evaluation modeling data. In one embodiment, the dimensionless processing is performed using the following formula:

[0081] Accuracy relative =Accuracy i / Accuracy max

[0082] Among them, Accuracy relative Represents the dimensionless test score; Accuracy iAccuracy represents the absolute accuracy rate of each subject in completing the cognitive test. max This indicates the highest accuracy rate achieved by the subject in completing all tests of this cognitive test.

[0083] In step S323, based on the cognitive assessment modeling data, the multi-dimensional average test score corresponding to each heart rate level is calculated. Specifically, after the dimensionless processing in step S322, the cognitive assessment modeling data includes heart rate data and the dimensionless test score (cognitive test accuracy). It is necessary to determine which heart rate level each heart rate data belongs to. For all heart rate data within a single heart rate level, the corresponding average cognitive test accuracy is calculated to determine the multi-dimensional average test score corresponding to that single heart rate level.

[0084] In step S324, the heart rate level data and the corresponding multi-dimensional average test score data are fitted using a selected fitting function to obtain a cognitive evaluation model. Specifically, the change pattern of heart rate and cognitive performance follows a quadratic function; therefore, a quadratic function is used as the fitting function to determine the fitting curve between cognitive performance and heart rate, thus obtaining the cognitive evaluation model. Alternatively, an exponential function can also be used for modeling to determine the fitting curve between cognitive performance and heart rate, thereby obtaining the cognitive evaluation model.

[0085] In one embodiment, the cognitive assessment model includes: a stroop test cognitive assessment model (such as...) Figure 15 ), visual learning test cognitive evaluation model (such as Figure 16 ), addition test cognitive evaluation model (such as Figure 17 ), multiplication test cognitive evaluation model (such as Figure 18 ), redirection test cognitive evaluation model (such as Figure 19 ), typing test cognitive evaluation model (such as Figure 20 ), d2 test cognitive evaluation model (such as Figure 21 ).

[0086] Specifically, the Stroop test cognitive assessment model includes the following formula:

[0087] Y1 = -0.0008x 2 +0.1227x+93.935

[0088] Specifically, the visual learning test cognitive evaluation model includes the following formula:

[0089] Y2 = -0.0018x 2 +0.2556x+83.126

[0090] Specifically, the addition test cognitive assessment model includes the following formula:

[0091] Y3 = -0.0003x 2 +0.0064x+96.81

[0092] Specifically, the cognitive evaluation model for the multiplication test includes the following formula:

[0093] Y4 = -0.0017x 2 +0.2564x+83.961

[0094] Specifically, the cognitive assessment model for redirection testing includes the following formula:

[0095] Y5 = -0.0006x 2 +0.0649x+95.866

[0096] Specifically, the typing test cognitive assessment model includes the following formula:

[0097] Y6 = -0.000001x 2 -0.0139x+99.566

[0098] Specifically, the d2 test cognitive assessment model includes the following formula:

[0099] Y7 = -0.0024x 2 +0.3623x+85.683

[0100] Where Y1 represents the relative accuracy of the stroop test; Y2 represents the relative accuracy of the visual learning test; Y3 represents the relative accuracy of the addition test; Y4 represents the relative accuracy of the multiplication test; Y5 represents the relative accuracy of the redirection test; Y6 represents the relative accuracy of the typing test; Y7 represents the relative accuracy of the d2 test; and x represents the heart rate class.

[0101] like Figures 15 to 21 As shown, the goodness of fit R for each cognitive assessment model is... 2 All values ​​close to or greater than 0.8 indicate that the model has a good fit and can effectively evaluate cognitive performance levels under various working conditions through heart rate levels.

[0102] In practical use, the cognitive test score (relative accuracy) corresponding to each cognitive assessment model can be calculated through heart rate level to reflect the multi-dimensional cognitive ability of the subject being evaluated and obtain the cognitive performance level.

[0103] In one embodiment, after obtaining the thermal sensation level and cognitive performance level of the object to be evaluated, it can be determined whether an early warning message needs to be issued based on these levels. Specifically, using the thermal sensation and cognitive performance thresholds set by the employer, when the set thresholds are reached, the buzzer and alarm in the operator's mobile smart device will sound an alarm to remind the operator to pay attention to work safety or stop working.

[0104] In summary, this invention can simultaneously evaluate a user's thermal sensation and cognitive performance through heart rate; it only requires measuring one physiological parameter (heart rate) to achieve real-time evaluation and monitoring of a user's thermal sensation and cognitive performance, providing a guarantee for workers to work safely and efficiently in high temperatures; the heart rate data of this invention is simple and readily available, reducing the difficulty of data acquisition and improving the generalizability of the evaluation method; this invention, proposed for personnel work safety and efficiency, is more sensitive to changes in cognitive performance than cognitive evaluation methods for disease diagnosis, and is more suitable for evaluating changes in personnel's cognition during work; this invention is based on normal temperature and high temperature working environments, with a temperature range of 26℃-39℃, and has wide applicability; this invention relates to low-intensity and moderate-intensity activity conditions for workers, adapting to various work scenarios; this invention uses the international standard ISO8996 heart rate as a physiological parameter for determining personnel activity levels, exploring the direct relationship between heart rate and cognitive performance, which can reduce the steps in determining personnel activity levels and simplify the data collection process.

[0105] The method and system for evaluating thermal sensation and cognitive performance based on heart rate provided by this invention can also be used in conjunction with a computer-readable storage medium. The storage medium stores a computer program, which is executed to run the method. The computer program is capable of executing computer instructions, which include computer program code. The computer program code can be in the form of source code, object code, executable file, or some intermediate form.

[0106] Computer-readable storage media can include: any entity or device capable of carrying computer program code, recording media, USB flash drives, portable hard drives, magnetic disks, optical disks, computer memory, read-only memory (ROM), random access memory (RAM), electrical carrier signals, telecommunication signals, and software distribution media, etc.

[0107] It should be noted that the contents of computer-readable storage media may be appropriately added to or subtracted from the contents according to the requirements of legislation and patent practice in a jurisdiction. For example, in some jurisdictions, according to legislation and patent practice, computer-readable storage media may not include electrical carrier signals and telecommunication signals.

[0108] Figure 22 A system block diagram of a heart rate-based assessment of thermal sensation and cognitive performance is shown according to an embodiment of the present invention.

[0109] A system for evaluating thermal sensation and cognitive performance based on heart rate implements a method for evaluating thermal sensation and cognitive performance based on heart rate. The system includes a heart rate sensor and a mobile terminal. The heart rate sensor is used to collect heart rate data of the subject being evaluated in real time. The mobile terminal wirelessly communicates with the heart rate sensor, receives the heart rate data, and performs the following steps: determining the heart rate level corresponding to the heart rate data according to a heart rate level classification standard; and determining the subject's thermal sensation level and cognitive performance level based on a thermal sensation evaluation model and a cognitive evaluation model, combined with the heart rate level.

[0110] In one embodiment, thermal sensation and cognitive performance thresholds set by the employer are used. When the set thermal sensation and cognitive performance thresholds are reached, the buzzer and alarm in the mobile smart device of the operator will sound an alarm to remind the operator to pay attention to work safety or stop working.

[0111] Figure 23 A schematic diagram of a mobile terminal app according to an embodiment of the present invention is shown.

[0112] like Figure 23 As shown, the subject of evaluation wears a heart rate sensor on their finger or earlobe, and the heart rate data is obtained using a Pulse Sensor based on photoplethysmography. In one embodiment, the heart rate sensor further includes an ADS1292 ECG sensor module.

[0113] The heart rate sensor has wireless communication capabilities. After wirelessly connecting with a mobile terminal, it can transmit the collected heart rate data to the mobile terminal via a wireless communication unit. In one embodiment, the wireless communication method includes, but is not limited to, Bluetooth communication, Wi-Fi communication, and Zigbee communication. The mobile terminal includes, but is not limited to, smartphones, smart tablets, and smart wearable devices.

[0114] like Figure 23As shown, the mobile terminal has a dedicated app installed, which can set up a wireless connection between the heart rate sensor and the mobile terminal, allow users to fill in the wearing position of the heart rate sensor, set the time interval for the heart rate sensor to collect heart rate data, display the current heart rate, current thermal sensation level, and current cognitive performance, and also display historical changes in heart rate, historical changes in thermal sensation level, and historical changes in cognitive performance in the form of curves.

[0115] Figure 24 A schematic diagram illustrating the interaction between a heart rate sensor and a mobile terminal according to an embodiment of the present invention is shown.

[0116] like Figure 24 As shown, the mobile terminal uses control signals to determine when the heart rate sensor starts detecting the heart rate data of the subject being evaluated.

[0117] like Figure 24 As shown, when the control signal instructs the heart rate sensor to start detecting the heart rate data of the subject being evaluated, the heart rate sensor transmits the collected heart rate data to the mobile terminal via wireless communication (wireless Bluetooth microcontroller). A dedicated app installed on the mobile terminal uses the heart rate data to determine the subject's thermal sensation level and cognitive performance level. The mobile terminal compares the current thermal sensation level and cognitive performance level with their respective thresholds. If the thresholds are exceeded, the mobile terminal issues a warning signal to alert the subject being evaluated.

[0118] like Figure 24 As shown, when the control signal does not instruct the heart rate sensor to start detecting the heart rate data of the subject being evaluated, the heart rate sensor stops collecting heart rate data and continuously outputs the previously measured heart rate data to the mobile terminal via wireless communication (wireless Bluetooth microcontroller). The dedicated app installed on the mobile terminal uses the previously measured heart rate data to determine the subject's thermal sensation level and cognitive performance level. The mobile terminal compares the current thermal sensation level and cognitive performance level with the corresponding thresholds. When these thresholds are exceeded, the mobile terminal issues a warning signal to alert the subject being evaluated.

[0119] In summary, the method and system for evaluating thermal sensation and cognitive performance based on heart rate provided by this invention have the following advantages:

[0120] (1) The present invention can evaluate a user’s thermal sensation and cognitive performance simultaneously by heart rate. The prior art does not have a technology that can evaluate thermal sensation and cognitive performance simultaneously.

[0121] (2) This invention only requires measuring one physiological parameter (heart rate) to achieve real-time evaluation and monitoring of the user's thermal sensation and cognitive performance, providing a guarantee for workers to work safely and efficiently in high temperatures. Heart rate data is simple and readily available, reducing the difficulty of data acquisition and improving the applicability of this invention.

[0122] (3) This invention is based on a series of laboratory data at normal and high temperatures. The applicable temperature range (26℃-39℃) includes not only the normal temperature range but also the high temperature range, and has a wide range of applications, which is more applicable than the existing technology.

[0123] (4) The goodness of fit R of the thermal sensation model and cognitive evaluation model proposed in this invention 2 All values ​​being close to or greater than 0.8 indicate that the model has a good fit and can effectively evaluate cognitive performance and thermal sensation at various activity intensities through heart rate values.

[0124] (5) Existing technologies only use heart rate as a parameter to calculate the metabolic rate (activity intensity) of personnel. Other parameters need to be introduced to evaluate cognitive performance and thermal sensation. However, the present invention only needs to collect heart rate as a physiological parameter to complete the real-time evaluation and monitoring of thermal sensation and cognitive performance. It is convenient, fast and economical.

[0125] It should be understood that the embodiments disclosed herein are not limited to the specific structures, processing steps, or materials disclosed herein, but should be extended to equivalent substitutions of these features as understood by those skilled in the art. It should also be understood that the terminology used herein is for the purpose of describing particular embodiments only and is not intended to be limiting.

[0126] In the description of this invention, unless otherwise stated, "a plurality of" means two or more; the terms "upper," "lower," "left," "right," "inner," "outer," "front end," "rear end," "head," "tail," etc., indicate the orientation or positional relationship based on the orientation or positional relationship shown in the accompanying drawings, and are only for the convenience of describing the invention and simplifying the description, and do not indicate or imply that the device or element referred to must have a specific orientation, or be constructed and operated in a specific orientation, and therefore should not be construed as a limitation of the invention. Furthermore, the terms "first," "second," "third," etc., are used for descriptive purposes only and should not be construed as indicating or implying relative importance.

[0127] In the description of this invention, it should be noted that, unless otherwise explicitly specified and limited, the terms "connected" and "linked" should be interpreted broadly. For example, they can refer to a fixed connection, a detachable connection, or an integral connection; they can refer to a mechanical connection or an electrical connection; they can refer to a direct connection or an indirect connection through an intermediate medium. Those skilled in the art can understand the specific meaning of the above terms in this invention based on the specific circumstances.

[0128] The phrase "an embodiment" or "an embodiment" used in this specification means that a particular feature, structure, or characteristic described in connection with the embodiment is included in at least one embodiment of the invention. Therefore, the phrase "an embodiment" or "an embodiment" appearing in various places throughout the specification does not necessarily refer to the same embodiment.

[0129] The embodiments of the present invention are given for illustrative and descriptive purposes only, and are not intended to be exhaustive or to limit the invention to the forms disclosed. Many modifications and variations will be apparent to those skilled in the art. The embodiments were chosen and described in order to better illustrate the principles and practical application of the invention, and to enable those skilled in the art to understand the invention and to design various embodiments with various modifications suitable for a particular purpose.

[0130] While the embodiments disclosed in this invention are as described above, the content is merely for the purpose of facilitating understanding of the invention and is not intended to limit the invention. Any person skilled in the art to which this invention pertains may make any modifications and variations in form and detail of the implementation without departing from the spirit and scope disclosed herein; however, the scope of patent protection for this invention shall still be determined by the scope defined in the appended claims.

Claims

1. A method for evaluating thermal sensation and cognitive performance based on heart rate, characterized in that, The ambient temperature range is 26℃-39℃, and the method includes the following steps: Heart rate data of the subject to be evaluated is collected in real time; Based on the heart rate classification standard, determine the heart rate level corresponding to the heart rate data; Based on the thermal sensation evaluation model and the cognitive evaluation model, and combined with the heart rate level, the thermal sensation level and cognitive performance level of the subject to be evaluated are determined. The thermal sensation evaluation model includes: Thermal sensation evaluation model under low-intensity activity: y1=-0.0003x 2 +0.1018x-4.9181 Thermal sensation evaluation model under moderate intensity activity: y2=-0.0002x 2 +0.0857x-4.1927 Where y1 represents the thermal sensation level under low-intensity activity; y2 represents the thermal sensation level under moderate-intensity activity; and x represents the heart rate level. The cognitive assessment model includes: Y4=-0.0017x 2 +0.2564x+83.961 Here, Y4 represents the relative accuracy of the multiplication test.

2. The method for evaluating thermal sensation and cognitive performance based on heart rate as described in claim 1, characterized in that, The method includes the following steps: collecting heart rate data through a portable heart rate sensing device worn by the subject to be evaluated.

3. The method for evaluating thermal sensation and cognitive performance based on heart rate as described in claim 1, characterized in that, The heart rate classification criteria are as follows: the heart rate value range for level 60 is [45, 65), the heart rate value range for level 70 is [65, 75), the heart rate value range for level 80 is [75, 85), the heart rate value range for level 90 is [85, 95), the heart rate value range for level 100 is [95, 105), the heart rate value range for level 110 is [105, 115), and the heart rate value range for level 120 is [115, 145].

4. The method for evaluating thermal sensation and cognitive performance based on heart rate as described in claim 1, characterized in that, The thermal sensation evaluation model is constructed through the following steps: In the experimental setting, thermal sensation votes and corresponding heart rate values ​​were collected from personnel under different working conditions and activity intensities. Outlier removal is performed on the thermal sensation voting values ​​and the heart rate values ​​to obtain low-noise, valid data. Based on the effective data, the average thermal sensation level corresponding to each heart rate level is calculated; By using the selected fitting function, the heart rate level data and the corresponding average thermal sensation level data are fitted to obtain the thermal sensation evaluation model.

5. The method for evaluating thermal sensation and cognitive performance based on heart rate as described in claim 1, characterized in that, The cognitive evaluation model is constructed through the following steps: In the experimental scenario, the multidimensional test scores and corresponding heart rate values ​​were obtained after the personnel under different working conditions and multidimensional cognitive tests. The multi-dimensional test scores are processed to eliminate individual differences and obtain cognitive evaluation modeling data. Based on the cognitive evaluation modeling data, the multi-dimensional average test score corresponding to each heart rate level was calculated. By using the selected fitting function, the heart rate level data and the corresponding multi-dimensional average test score data are fitted to obtain the cognitive evaluation model.

6. The method for evaluating thermal sensation and cognitive performance based on heart rate as described in claim 5, characterized in that, The multidimensional cognitive test includes any one or any combination of the following: semantic interference ability test, visual perception ability test, thinking ability test, attention test, spatial positioning ability test, and long-term memory ability test.

7. The method for evaluating thermal sensation and cognitive performance based on heart rate as described in claim 1, characterized in that, The method includes the following steps: determining whether a warning message needs to be issued based on the thermal sensation level and the cognitive performance level.

8. A storage medium, characterized in that, It includes a series of instructions for performing the method steps as described in any one of claims 1-7.

9. A system for evaluating thermal sensation and cognitive performance based on heart rate, characterized in that, The system, which performs the method as described in any one of claims 1-7, comprises: A heart rate sensor, used to collect heart rate data of the subject being evaluated in real time; A mobile terminal wirelessly communicates with the heart rate sensor, receives the heart rate data, and performs the following steps: Based on the heart rate classification standard, determine the heart rate level corresponding to the heart rate data; Based on the thermal sensation evaluation model and the cognitive evaluation model, and combined with the heart rate level, the thermal sensation level and cognitive performance level of the subject to be evaluated are determined.

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