Method for determining installation position of worker induction electrode

Abstract

The application provides a method for determining the installation position of a worker sensing electrode. The method first marks the electrode on the preset position in the forehead area of the test object; then determines the first target position of the electrode installation according to the resistance value test; then performs an identification accuracy test, and determines the second target position that meets the accuracy requirement according to the test result; finally, the electrode configuration is optimized according to the second target position, and the minimum number of electrode combination schemes is determined to meet the monitoring requirements. Through multiple tests and optimization of the electrode contact position, the application accurately determines the best installation position of the electrode in the forehead area of the worker, ensures the close contact of the electrode and the skin, thereby realizing high-quality collection of physiological signals, reducing signal distortion and interference, and solving the problem of insufficient monitoring accuracy caused by unstable electrode contact or unreasonable configuration in the prior art.

Description

Technical Field

[0001] This invention relates to the field of physiological signal acquisition and fatigue monitoring technology, and more specifically, to a method for determining the installation position of sensing electrodes for workers. Background Technology

[0002] In modern industrial production environments, indoor and outdoor high-altitude work place extremely high demands on workers' attention and physical condition. Prolonged work can lead to accumulated fatigue, consequently affecting work efficiency and safety. Therefore, accurately monitoring worker fatigue is crucial for effectively preventing accidents and improving productivity. Existing fatigue monitoring technologies largely rely on methods such as video surveillance and physiological signal detection, attempting to assess worker fatigue levels through real-time monitoring and data analysis.

[0003] Physiological signal detection, as an important fatigue monitoring method, typically acquires physiological information of workers, such as electroencephalograms (EEGs), through sensing electrodes. However, this method faces many challenges in practical applications, especially the contact between the electrodes and human skin. Due to individual differences, variations in the working environment, and the difficulty in standardizing the fixed position and contact pressure of the electrodes during operation, the contact effect between the electrodes and the skin is often unstable, directly affecting the signal quality and leading to inaccurate data.

[0004] Furthermore, existing electrode configurations are typically based on experience, lacking precise configuration schemes tailored to individual differences such as head circumference, age, and gender. This suboptimal electrode configuration not only affects the accuracy and reliability of monitoring results but may also prevent the system from adapting to the actual needs of different working environments. In terms of fatigue level and emotion recognition, the accuracy of existing technologies remains limited, partly due to suboptimal electrode placement and contact effects, leading to signal distortion and further reducing the overall performance of the monitoring system. Therefore, existing fatigue monitoring technologies suffer from problems such as unstable electrode contact and unreasonable electrode configuration, which affect the accuracy and reliability of physiological signal acquisition, resulting in insufficient fatigue monitoring precision. Summary of the Invention

[0005] The main objective of this application is to provide a method for determining the installation position of the sensing electrode for operators, so as to at least solve the problem of insufficient monitoring accuracy caused by unstable electrode contact or unreasonable configuration in the prior art.

[0006] To achieve the above objectives, according to one aspect of this application, a method for determining the installation position of sensing electrodes for a worker is provided, comprising: marking electrode installation on the forehead region of a test subject based on a preset installation position to obtain at least one electrode mark; performing electrode testing based on each of the electrode marks, and determining a first target position where the sensing electrodes are tightly installed based at least on the resistance value obtained from the electrode testing; performing an identification accuracy test on each of the first target positions, and determining a second target position where the accuracy of the sensing electrodes meets the usage requirements based at least on the accuracy value obtained from the identification accuracy test; and determining a target installation scheme based on the second target position, wherein the target installation scheme is a combination scheme that includes the second target position with the minimum number of sensing electrodes while meeting the monitoring requirements.

[0007] Optionally, electrode installation marking is performed on the forehead region of the test subject based on preset installation locations, including: grouping the test subjects according to the work scenario to obtain multiple target test groups, each target test group including test subjects of various age groups, and the difference between the head circumference of each test subject and the benchmark head circumference within a first threshold; obtaining the preset installation locations, and sequentially performing electrode installation marking on each target test group based on the preset installation locations, wherein each test subject includes all electrode markings corresponding to the preset installation locations.

[0008] Optionally, performing electrode tests based on each of the electrode marks, and determining a first target position for tightly installing the sensing electrode based at least on the resistance values ​​obtained from the electrode tests, includes: performing electrode tests on each of the electrode marks using a single sensing electrode to obtain multiple resistance values; determining a third target position for installing a single sensing electrode based at least on the resistance values, wherein the third target position is a position where the single sensing electrode is tightly installed; randomly combining the electrode marks to obtain multiple alternative installation combinations; performing electrode tests on each of the alternative installation combinations to obtain multiple groups of resistance values; determining a target installation combination for installing multiple sensing electrodes based at least on each group of resistance values; and determining the third target position and the installation positions included in the target installation combination as the first target position.

[0009] Optionally, determining the third target location for installing a single sensing electrode based at least on the resistance value includes: acquiring feedback data from the test subject, the feedback data including at least whether the presence of the sensing electrode corresponding to the electrode mark can be sensed; if the feedback data indicates that the presence of the sensing electrode corresponding to the electrode mark cannot be sensed, acquiring the resistance value between the sensing electrode and the skin; and if the resistance value is less than a second threshold, determining the electrode mark corresponding to the resistance value as the third target location.

[0010] Optionally, the electrode tests are performed based on each of the candidate installation combinations to obtain multiple resistance value groups. At least based on each resistance value group, a target installation combination for the multiple sensing electrodes is determined, including: obtaining the resistance value corresponding to the electrode mark included in the candidate installation combination to obtain the resistance value group; obtaining the total contact area of ​​the sensing electrodes and calculating the ratio of the resistance value group to the total contact area to obtain the contact coefficient; predicting the target installation combination for the multiple sensing electrodes based on the third target position to obtain a predicted installation combination; and determining the candidate installation combination as the target installation combination when the candidate installation combination matches the predicted installation combination and the contact coefficient corresponding to the candidate installation combination is the smallest.

[0011] Optionally, an accuracy test is performed on each of the first target locations, including:

[0012] Acquire the identification signal of the sensing electrode at each of the first target locations, and calculate the accuracy based on the identification signal: Among them, PRE initial For the accuracy, F is the activation function used to convert the recognition signal into a preset format, and P... comb,i E represents the first target position corresponding to the i-th sensing electrode. best,i Let μ be the contact coefficient of the i-th electrode. E σ is the average of the contact coefficients of all the said sensing electrodes. E ω represents the degree of dispersion of the contact coefficient, and ω is the frequency coefficient.

[0013] Optionally, before determining a second target position where the accuracy of the sensing electrode meets the usage requirements, based at least on the accuracy value obtained from the recognition accuracy test, the method further includes:

[0014] The accuracy is corrected based on the contact coefficient to obtain the precision value: PRE final =PRE initial ·θ β Among them, PRE final Let θ be the accuracy value, β be the adjustment factor for the influence of the contact coefficient on the recognition accuracy, and β be the nonlinear influence of the contact coefficient.

[0015] Optionally, the method further includes determining a second target position where the accuracy of the sensing electrode meets the usage requirements based at least on the accuracy value obtained from the recognition accuracy test. If the accuracy value corresponding to the first target position is greater than or equal to a third threshold, the first target position is determined as the second target position.

[0016] Optionally, determining the target installation scheme based on the second target location includes: if the second target location coincides with the third target location, determining the second target location as the target installation scheme; if the second target location belongs to the target installation combination, determining the target installation combination that includes the smallest number of sensing electrodes as the target installation scheme.

[0017] Optionally, predicting the target installation combination of the plurality of sensing electrodes based on the third target location to obtain a predicted installation combination further includes: regenerating the alternative installation combination if all alternative installation combinations are inconsistent with the predicted installation combination.

[0018] Applying the technical solution of this application, firstly, electrode installation marks are made on the forehead area of ​​the test subject based on a preset installation position, resulting in at least one electrode mark; then, electrode testing is performed based on each of the electrode marks, and a first target position for tight installation of the sensing electrode is determined based at least on the resistance value obtained from the electrode testing; subsequently, recognition accuracy testing is performed on each of the first target positions, and a second target position where the sensing electrode accuracy meets the usage requirements is determined based at least on the accuracy value obtained from the recognition accuracy test; finally, a target installation scheme is determined based on the second target position, wherein the target installation scheme is a combination scheme that includes the second target position with the minimum number of sensing electrodes while meeting monitoring requirements. This application, through multiple tests and optimizations of the electrode contact position, accurately determines the optimal installation position of the electrode on the forehead area of ​​the worker, ensuring close contact between the electrode and the skin, thereby achieving high-quality acquisition of physiological signals, reducing signal distortion and interference, and solving the problem of insufficient monitoring accuracy caused by unstable electrode contact or unreasonable configuration in the prior art. Attached Figure Description

[0019] Figure 1 A hardware structure block diagram of a mobile terminal for determining the installation position of a worker sensing electrode is shown in an embodiment of this application.

[0020] Figure 2 A flowchart illustrating a method for determining the installation position of a worker sensing electrode according to an embodiment of this application is shown.

[0021] Figure 3 A structural block diagram of a device for determining the installation position of a worker sensing electrode according to an embodiment of this application is shown.

[0022] The above figures include the following reference numerals:

[0023] 102. Processor; 104. Memory; 106. Transmission device; 108. Input / output device. Detailed Implementation

[0024] It should be noted that, unless otherwise specified, the embodiments and features described in this application can be combined with each other. This application will now be described in detail with reference to the accompanying drawings and embodiments.

[0025] To enable those skilled in the art to better understand the present application, the technical solutions in the embodiments of the present application will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of the present application, and not all embodiments. Based on the embodiments in the present application, all other embodiments obtained by those of ordinary skill in the art without creative effort should fall within the scope of protection of the present application.

[0026] It should be noted that the terms "first," "second," etc., in the specification, claims, and accompanying drawings of this application are used to distinguish similar objects and are not necessarily used to describe a specific order or sequence. It should be understood that such data can be interchanged where appropriate for the embodiments of this application described herein. Furthermore, the terms "comprising" and "having," and any variations thereof, are intended to cover non-exclusive inclusion; for example, a process, method, system, product, or apparatus that comprises a series of steps or units is not necessarily limited to those steps or units explicitly listed, but may include other steps or units not explicitly listed or inherent to such processes, methods, products, or apparatus.

[0027] As described in the background section, existing technologies suffer from problems such as unstable electrode contact and unreasonable electrode configuration, which affect the accuracy and reliability of physiological signal acquisition and lead to insufficient fatigue monitoring accuracy. To solve the problem of insufficient monitoring accuracy caused by unstable electrode contact or unreasonable configuration in existing technologies, embodiments of this application provide a method for determining the installation position of the operator's sensing electrode.

[0028] The technical solutions of the present invention will be clearly and completely described below with reference to the accompanying drawings in the embodiments of the present invention.

[0029] The methods and embodiments provided in this application can be executed on a mobile terminal, computer terminal, or similar computing device. Taking running on a mobile terminal as an example, Figure 1 This is a hardware structure block diagram of a mobile terminal for a method of determining the installation position of a worker's sensing electrode according to an embodiment of the present invention. Figure 1 As shown, a mobile terminal may include one or more ( Figure 1Only one is shown in the diagram. A processor 102 (which may include, but is not limited to, a microprocessor MCU or a programmable logic device FPGA, etc.) and a memory 104 for storing data are also shown. The mobile terminal may further include a transmission device 106 for communication functions and an input / output device 108. Those skilled in the art will understand that... Figure 1 The structure shown is for illustrative purposes only and does not limit the structure of the mobile terminal described above. For example, the mobile terminal may also include components that are more... Figure 1 The more or fewer components shown, or having the same Figure 1 The different configurations shown.

[0030] The memory 104 can be used to store computer programs, such as application software programs and modules, like the computer program corresponding to the method for determining the installation position of the operator sensing electrode in this embodiment of the invention. The processor 102 executes various functional applications and data processing by running the computer program stored in the memory 104, thereby implementing the above-described method. The memory 104 may include high-speed random access memory and may also include non-volatile memory, such as one or more magnetic storage devices, flash memory, or other non-volatile solid-state memory. In some instances, the memory 104 may further include memory remotely located relative to the processor 102, and these remote memories can be connected to the mobile terminal via a network. Examples of the aforementioned networks include, but are not limited to, the Internet, corporate intranets, local area networks, mobile communication networks, and combinations thereof. The transmission device 106 is used to receive or send data via a network. Specific examples of the aforementioned networks may include wireless networks provided by the mobile terminal's communication provider. In one example, the transmission device 106 includes a network interface controller (NIC), which can be connected to other network devices via a base station to communicate with the Internet. In one example, the transmission device 106 may be a radio frequency (RF) module, which is used to communicate with the Internet wirelessly.

[0031] This embodiment provides a method for determining the installation position of a worker sensing electrode running on a mobile terminal, computer terminal, or similar computing device. It should be noted that the steps shown in the flowchart in the accompanying drawings can be executed in a computer system such as a set of computer-executable instructions. Furthermore, although a logical order is shown in the flowchart, in some cases, the steps shown or described may be executed in a different order than that shown here.

[0032] Figure 2 This is a flowchart illustrating a method for determining the installation position of the operator sensing electrode according to an embodiment of this application. Figure 2As shown, the method includes the following steps:

[0033] Step S201: Based on the preset installation position, mark the electrode installation on the forehead area of ​​the test subject to obtain at least one electrode mark;

[0034] Specifically, the initial electrode placement is determined by precisely marking the forehead area of ​​the test subject. The preset marking locations are determined by scientifically selecting test subjects based on factors such as age, gender, and head circumference under different working environments. These markings ensure broad testing coverage and provide precise electrode placement for different types of work and working environments.

[0035] Step S202: Perform electrode testing based on each electrode mark, and determine the first target position where the sensing electrode is tightly installed based at least on the resistance value obtained from the electrode test.

[0036] Specifically, the electrode markings on the test subject are used for electrode placement. Single-electrode or multi-electrode combinations are tested, and parameters such as contact resistance, contact pressure, and contact area between the electrode and skin are recorded to determine the electrode's contact effectiveness. The resistance between the electrode and skin is a key indicator of electrode tightness; a low contact resistance indicates good contact and an ideal contact effect, thus determining whether the electrode placement is appropriate to ensure optimal contact and improve the quality of electrode signal acquisition.

[0037] Step S203: Perform an identification accuracy test on each first target position, and determine the second target position whose sensing electrode accuracy meets the usage requirements based at least on the accuracy value obtained from the identification accuracy test.

[0038] Specifically, the electrode placement is further optimized through accuracy testing. After electrode testing at the first target location is completed, the accuracy of emotion and fatigue recognition is evaluated. An algorithm based on physiological signals is used to assess whether the electrode placement accurately reflects the test subject's emotional and fatigue states. Evaluation metrics for accuracy include emotion recognition rate and fatigue detection accuracy. If the accuracy value meets preset requirements, that location is designated as the second target location to satisfy the monitoring needs.

[0039] Step S204: Determine the target installation scheme based on the second target location. The target installation scheme is a combination scheme that includes the second target location with the minimum number of sensing electrodes while meeting the monitoring requirements.

[0040] Specifically, based on the accuracy test results of the second target location, the target installation scheme is further determined. When a single electrode or a combination of multiple electrodes is in the same optimal position and meets the accuracy requirements, a single electrode or a combination with a small number of electrodes is selected. The target installation scheme considers achieving the monitoring requirements while using the fewest electrodes to achieve the best contact effect and identification accuracy. By optimizing the number and position of electrodes, equipment costs and complexity during use are reduced, while maintaining sufficient monitoring accuracy.

[0041] This embodiment provides a method for determining the installation position of sensing electrodes for workers. First, electrode installation marks are made on the forehead region of the test subject based on preset installation positions, resulting in at least one electrode mark. Then, electrode testing is performed based on each electrode mark, and a first target position for tight electrode installation is determined based at least on the resistance value obtained from the electrode tests. Next, recognition accuracy tests are performed on each first target position, and a second target position where the sensing electrode accuracy meets the usage requirements is determined based at least on the accuracy value obtained from the recognition accuracy tests. Finally, a target installation scheme is determined based on the second target position. The target installation scheme is a combination scheme that includes the minimum number of sensing electrodes in the second target position while meeting monitoring requirements. This application provides an efficient and accurate electrode installation method. By calibrating and testing electrode positions under various working environments, it can effectively optimize the electrode placement scheme, achieving physiological signal acquisition at the most precise position with the minimum number of electrodes, thereby improving the signal acquisition quality of the electrodes, optimizing electrode use, and meeting the precise monitoring needs under different working environments. It solves the problem of insufficient monitoring accuracy caused by unstable electrode contact or unreasonable configuration in existing technologies.

[0042] As one possible implementation, electrode installation markings are made on the forehead region of the test subject based on preset installation locations, including:

[0043] Step S301: Group the test subjects based on the work scenario to obtain multiple target test groups. Each target test group includes test subjects of different age groups. The difference between the head circumference of each test subject and the benchmark head circumference is within the first threshold.

[0044] Specifically, test subjects are grouped according to their age, gender, and physiological characteristics such as head circumference to ensure that each target test group includes representative samples from different age groups and genders. Furthermore, the difference between the head circumference of any test subject and the baseline head circumference (i.e., standard head circumference) must not exceed a preset first threshold. For example, electrode installation markings include: selecting test subjects from different working environments (indoor work, high-altitude work, outdoor work, and industrial production); selecting test subjects from different age groups, achieving gender balance within each age group; and within each age group, selecting head circumferences ranging from 10% below to 10% above the normal human head circumference range, from smallest to largest. This threshold setting ensures that the head circumference of the test subjects is within a reasonable range, avoiding deviations in electrode installation markings due to excessive individual differences. This grouping method ensures the breadth and scientific rigor of the test, meeting the monitoring needs of different populations.

[0045] Step S302: Obtain the preset installation position, and mark the electrode installation on each target test group in sequence based on the preset installation position. Each test object includes electrode marks corresponding to all preset installation positions.

[0046] Specifically, the preset electrode placement locations are selected based on the anatomical features and physiological data analysis of the forehead region to determine the optimal electrode placement. For each test subject in each target test group, the electrode placement locations are accurately marked according to their head circumference and facial features. Precise measurement tools and methods are used to ensure that the marking positions on the forehead region are consistent for each test subject, thus avoiding testing errors caused by deviations in marking positions. For example, four electrode marking locations are selected on the test subject's forehead region: the left and right temples, one finger-width above the left brow ridge, and two finger-widths below the left hairline.

[0047] As one possible implementation, electrode testing is performed based on each electrode mark, and the first target location for tight mounting of the sensing electrode is determined at least based on the resistance value obtained from the electrode testing, including:

[0048] Step S401: Perform electrode tests on each electrode mark using a single sensing electrode to obtain multiple resistance values. Determine the third target position for installing a single sensing electrode based at least on the resistance values. The third target position is the position where the single sensing electrode is installed tightly.

[0049] Specifically, at pre-marked electrode locations, a single inductive electrode is used for resistance testing. An electrode is placed at a predetermined position on the forehead of the test subject, the signal acquisition device is activated, and the resistance value between the electrode and the skin is recorded. Simultaneously, parameters such as contact pressure, contact area, and skin temperature are also recorded. The resistance value reflects the tightness of contact between the electrode and the skin; a lower resistance value generally indicates a tighter contact and better signal transmission performance. Based on the measured resistance value, the position where the electrode is most tightly installed can be determined, referred to as the third target position.

[0050] Step S402: Randomly combine the electrode marks to obtain multiple candidate installation combinations, perform electrode tests based on each candidate installation combination to obtain multiple resistance value groups, and determine at least the target installation combination for installing multiple sensing electrodes based on each resistance value group.

[0051] Specifically, based on all electrode marking combinations, multiple alternative installation combinations are generated. These combinations represent different electrode installation location schemes, aiming to further optimize the installation scheme. For each alternative installation combination, electrode testing is performed, measuring the resistance value of each electrode in the corresponding combination, and obtaining a set of resistance values. By analyzing the test results of multiple alternative installation combinations and comparing the resistance values ​​of different combinations, several target installation combinations are selected. These combinations have lower resistance values, indicating a higher degree of electrode tightness at these locations, making them suitable for monitoring tasks.

[0052] Step S403: The third target location and the installation location included in the target installation combination are determined as the first target location.

[0053] Specifically, the tightest single electrode mounting position (the third target position) is combined with the optimal electrode mounting combination (the target mounting combination) selected from multiple alternative mounting combinations. The final result is the determination of the first target position, i.e., the optimal electrode mounting scheme. This scheme considers not only the tight mounting position of individual electrodes but also the overall combination of electrode mounting positions, ensuring the overall tightness and accuracy of the electrodes in the forehead region, providing the best monitoring effect.

[0054] As one possible implementation, determining the third target location for mounting a single sensing electrode is based at least on the resistance value, including:

[0055] Step S501: Obtain feedback data from the test object. The feedback data includes at least whether the presence of the sensing electrode corresponding to the electrode mark can be sensed.

[0056] Specifically, information about the sensing electrodes is obtained through a feedback mechanism from the test subject. The feedback data includes whether the test subject can perceive the presence of the sensing electrodes at the marked locations. The feedback from the test subject can be obtained through subjective user perception or automatic detection by sensors or devices. If the test subject perceives the electrode markings, it indicates that the electrode position may be in proper contact with the skin; if the test subject cannot perceive the presence of the sensing electrodes, it may indicate poor electrode contact, requiring further optimization of the installation location.

[0057] Step S502: If the feedback data indicates that the presence of the sensing electrode corresponding to the electrode mark cannot be detected, the resistance value between the sensing electrode and the skin is obtained.

[0058] Specifically, if feedback data shows that the test subject cannot perceive the presence of the electrode, it can be determined that the electrode may be in poor contact with the skin, resulting in poor signal transmission or that the electrode is installed off-center. Therefore, it is necessary to further measure the resistance between the electrode and the skin to quantify the tightness of the contact. A larger resistance value usually indicates poor contact between the electrode and the skin, resulting in poor signal transmission; while a smaller resistance value indicates a tighter electrode installation and better signal transmission.

[0059] Step S503: If the resistance value is less than the second threshold, the electrode mark corresponding to the resistance value is determined as the third target position.

[0060] Specifically, when the measured resistance value is less than the preset second threshold, it indicates that the electrode is in good contact with the skin, the signal conduction is good, and the installation requirements are met. In this case, the electrode marking position with the lower resistance value is the position with the tightest installation, referred to as the third target position. This position is determined jointly by feedback data and resistance value, ensuring the accuracy of electrode installation and the stability of signal transmission.

[0061] As one possible implementation, electrode tests are performed based on each alternative mounting combination to obtain multiple resistance value sets. At least based on each resistance value set, target mounting combinations for multiple sensing electrodes are determined, including:

[0062] Step S601: Based on the alternative installation combinations, obtain the resistance values ​​corresponding to the electrode marks included in the alternative installation combinations to obtain a resistance value group;

[0063] Specifically, based on multiple alternative installation combinations, electrode testing is performed on each electrode mark in each installation combination to obtain the resistance value of each electrode. Each electrode mark corresponds to a resistance value, and the resistance values ​​of all electrode marks will form a resistance value group.

[0064] Step S602: Obtain the total contact area of ​​the sensing electrode, calculate the ratio of the resistance value group to the total contact area, and obtain the contact coefficient;

[0065] Specifically, the total contact area of ​​all sensing electrodes is obtained, that is, the sum of the surface areas of each electrode in contact with the skin. Then, based on the relationship between the resistance value of each electrode and the total contact area, the ratio of the resistance value set to the total contact area is calculated, thus obtaining a value called the contact coefficient. The contact coefficient reflects the contact quality between the sensing electrode and the skin; a lower contact coefficient indicates better electrode contact and more stable signal transmission.

[0066] Step S603: Based on the third target position, predict the target installation combination of multiple sensing electrodes to obtain the predicted installation combination;

[0067] Specifically, multiple alternative installation combinations are predicted by combining the third target location (i.e., the electrode installation location determined by feedback data and resistance values). The prediction process considers factors such as the resistance value, contact area, and relative positional relationship between each electrode to calculate the optimal electrode installation combination. The predicted target installation combination should meet the predetermined monitoring requirements, such as the stability and accuracy of signal acquisition.

[0068] Step S604: If the alternative installation combination is consistent with the predicted installation combination and the contact coefficient corresponding to the alternative installation combination is the smallest, then the alternative installation combination is determined as the target installation combination.

[0069] Specifically, the alternative installation combination and the predicted installation combination are compared. If the alternative installation combination matches the predicted installation combination, and the contact coefficient corresponding to the alternative installation combination is the minimum among all alternative combinations, it indicates that this installation combination best meets the installation requirements and can provide the best signal transmission effect. In this case, the alternative installation combination is selected as the final target installation combination.

[0070] As one possible implementation, the recognition accuracy of each first target location is tested, including:

[0071] Acquire the identification signals of the sensing electrodes at each first target location, and calculate the accuracy based on the identification signals: Among them, PRE initial For accuracy, F is the activation function used to convert the recognition signal into a preset format, and P... comb,i E represents the first target position corresponding to the i-th sensing electrode. best,i Let μ be the contact coefficient of the i-th electrode. E σ is the average of the contact coefficients of all sensing electrodes. E ω represents the dispersion of the contact coefficient, and ω is the frequency coefficient.

[0072] Specifically, each electrode installation location generates a unique identification signal, typically a current, impedance, or other physical quantity. This signal reflects the effectiveness and stability of the electrode's contact with the skin. By inputting the identification signal into an activation function, it can be converted into a standard format. This format ensures consistency in the comparison and analysis of identification signals from different electrodes. A smaller contact coefficient indicates a tighter contact between the electrode and the skin, resulting in better signal transmission and thus a greater contribution to identification accuracy. The average value and dispersion of the contact coefficient help adjust the weights between different electrodes, making accuracy calculations more objective.

[0073] Therefore, by conducting accuracy tests on the identification positions of each primary target, high precision in the installation of the sensing electrodes can be ensured, thereby guaranteeing the quality of signal acquisition. This method combines the contact coefficient of the electrodes, the frequency response of the signal, and the accuracy calculation of the identified signal, effectively improving the accuracy of electrode installation and reducing signal distortion caused by installation errors.

[0074] As one possible implementation, before determining the second target position where the accuracy of the sensing electrode meets the usage requirements, at least based on the accuracy value obtained from the recognition accuracy test, the method further includes: correcting the accuracy based on the contact coefficient to obtain the accuracy value: PRE final =PRE initial ·θ β Among them, PRE final θ is the accuracy value, β is the adjustment factor for the influence of the contact coefficient on the recognition accuracy, and β is the nonlinear influence of the contact coefficient.

[0075] Specifically, the contact quality (i.e., contact coefficient) of the electrodes directly affects the stability of signal transmission. Better contact (smaller contact coefficient) improves signal accuracy, while poor contact may lead to signal loss or errors. The adjustment factor of the contact coefficient can be set according to actual conditions. For example, when the contact coefficient is poor, the θ value may be small, which will lead to a decrease in the corrected accuracy value; while when the contact coefficient is good, the θ value is large, and the corrected accuracy value will remain at a high level. The nonlinear effect β is used for further fine adjustment to ensure that the impact of contact quality on accuracy meets the requirements of actual applications.

[0076] Therefore, by correcting the recognition accuracy based on the contact coefficient, the accuracy calculation of electrode installation can be made more closely aligned with practical applications. The corrected accuracy value better reflects the impact of the electrode's contact quality with the skin, thus enabling more accurate selection of electrode placement.

[0077] As one possible implementation, the method further includes determining the second target position where the accuracy of the sensing electrode meets the usage requirements based on the accuracy value obtained from the recognition accuracy test. If the accuracy value corresponding to the first target position is greater than or equal to a third threshold, the first target position is determined as the second target position.

[0078] Specifically, the accuracy threshold (third threshold) is a preset standard used to evaluate whether the accuracy of the electrode installation position meets the requirements. This threshold can be set according to the needs of the actual application. Generally, higher accuracy means better quality contact between the electrode and the skin, and stronger signal transmission stability. For example, after obtaining the final recognition accuracy, the PRE threshold can be selected. final The optimal position for a single electrode or multi-electrode combination with an accuracy value ≥0.6. If the accuracy value of the first target position does not reach the third threshold, it indicates that the position does not meet the usage requirements and the electrodes need to be reinstalled or adjusted. If the accuracy value meets the requirements, then the position is directly confirmed as the second target position.

[0079] As one possible implementation, the target installation scheme is determined based on the second target location, including:

[0080] Step S701: If the second target position and the third target position are the same, the second target position is determined as the target installation scheme;

[0081] Specifically, if the second target position is consistent with the third target position, it means that the position has met the usage requirements in the previous accuracy test and optimization, and there is no need to make additional adjustments. The position can be directly selected as the final electrode installation scheme.

[0082] Step S702: If the second target location belongs to the target installation combination, the target installation combination with the smallest number of sensing electrodes is determined as the target installation scheme.

[0083] Specifically, if the second target location is part of the target installation combination, the next step is to compare the number of sensing electrodes in each alternative combination and select the combination with the fewest electrodes as the target installation scheme. This ensures that the number of electrodes used is minimized while meeting monitoring requirements, avoiding complexity or redundancy issues caused by excessive electrodes.

[0084] As one possible implementation, the target installation combination of multiple sensing electrodes is predicted based on the third target location to obtain the predicted installation combination. It also includes: regenerating the alternative installation combination when all alternative installation combinations are inconsistent with the predicted installation combination.

[0085] Specifically, based on the predicted electrode locations and requirements, alternative installation combinations are recalculated and redesigned. This process includes: re-evaluating parameters such as electrode marking locations, contact coefficients, and installation accuracy; ensuring that the new alternative combinations meet monitoring requirements while minimizing the number of electrodes or reducing redundancy; and comparing the new combinations with the predicted installation schemes to ensure consistency.

[0086] Furthermore, when the predicted installation combination differs from the current alternative installation combination, it indicates that the current alternative combination may not have adequately considered the influence of the third target location or its accuracy requirements. Therefore, the system needs to generate a new set of alternative installation combinations, which not only ensures consistency between the electrode installation scheme and the predicted installation combination, but also optimizes the electrode position configuration, reduces unnecessary electrode usage, and improves system performance.

[0087] This application also provides a device for determining the installation position of a worker sensing electrode. It should be noted that this device can be used to execute the method for determining the installation position of a worker sensing electrode provided in this application. This device is used to implement the above embodiments and preferred embodiments; details already described will not be repeated. As used below, the term "module" can refer to a combination of software and / or hardware that performs a predetermined function. Although the device described in the following embodiments is preferably implemented in software, hardware implementation, or a combination of software and hardware, is also possible and contemplated.

[0088] The following describes the device for determining the installation position of the operator sensing electrode provided in the embodiments of this application.

[0089] Figure 3 This is a structural block diagram of a device for determining the installation position of a worker sensing electrode according to an embodiment of this application. Figure 3 As shown, the device includes: a marking unit 10, a first testing unit 20, a second testing unit 30, and a determining unit 40.

[0090] Marking unit 10 is used to mark the electrode installation on the forehead area of ​​the test subject based on a preset installation position, so as to obtain at least one electrode mark;

[0091] Specifically, the initial electrode placement is determined by precisely marking the forehead area of ​​the test subject. The preset marking locations are determined by scientifically selecting test subjects based on factors such as age, gender, and head circumference under different working environments. These markings ensure broad testing coverage and provide precise electrode placement for different types of work and working environments.

[0092] The first test unit 20 is used to perform electrode tests based on each electrode mark, and to determine the first target position where the sensing electrode is tightly installed based at least on the resistance value obtained from the electrode test.

[0093] Specifically, the electrode markings on the test subject are used for electrode placement. Single-electrode or multi-electrode combinations are tested, and parameters such as contact resistance, contact pressure, and contact area between the electrode and skin are recorded to determine the electrode's contact effectiveness. The resistance between the electrode and skin is a key indicator of electrode tightness; a low contact resistance indicates good contact and an ideal contact effect, thus determining whether the electrode placement is appropriate to ensure optimal contact and improve the quality of electrode signal acquisition.

[0094] The second test unit 30 is used to perform recognition accuracy tests on each first target position, and at least determine the second target position where the accuracy of the sensing electrode meets the usage requirements based on the accuracy value obtained from the recognition accuracy test.

[0095] Specifically, the electrode placement is further optimized through accuracy testing. After electrode testing at the first target location is completed, the accuracy of emotion and fatigue recognition is evaluated. An algorithm based on physiological signals is used to assess whether the electrode placement accurately reflects the test subject's emotional and fatigue states. Evaluation metrics for accuracy include emotion recognition rate and fatigue detection accuracy. If the accuracy value meets preset requirements, that location is designated as the second target location to satisfy the monitoring needs.

[0096] The determining unit 40 is used to determine a target installation scheme based on the second target location. The target installation scheme is a combination scheme that includes the second target location with the minimum number of sensing electrodes while meeting the monitoring requirements.

[0097] Specifically, based on the accuracy test results of the second target location, the target installation scheme is further determined. When a single electrode or a combination of multiple electrodes is in the same optimal position and meets the accuracy requirements, a single electrode or a combination with a small number of electrodes is selected. The target installation scheme considers achieving the monitoring requirements while using the fewest electrodes to achieve the best contact effect and identification accuracy. By optimizing the number and position of electrodes, equipment costs and complexity during use are reduced, while maintaining sufficient monitoring accuracy.

[0098] This embodiment provides a device for determining the installation position of sensing electrodes on a worker. The device includes a marking unit, a first testing unit, a second testing unit, and a determining unit. The marking unit marks the electrode installation position on the forehead region of the test subject based on a preset installation position, obtaining at least one electrode mark. The first testing unit performs electrode tests based on each electrode mark and determines a first target position where the sensing electrode is tightly installed, based at least on the resistance value obtained from the electrode tests. The second testing unit performs recognition accuracy tests on each first target position and determines a second target position where the sensing electrode accuracy meets the usage requirements, based at least on the accuracy value obtained from the recognition accuracy tests. The determining unit determines a target installation scheme based on the second target position, where the target installation scheme is a combination scheme that includes the minimum number of sensing electrodes in the second target position while meeting monitoring requirements. This device, through multiple tests and optimizations of the electrode contact position, accurately determines the optimal installation position of the electrode on the worker's forehead region, ensuring close contact between the electrode and the skin. This achieves high-quality acquisition of physiological signals, reduces signal distortion and interference, and solves the problem of insufficient monitoring accuracy caused by unstable electrode contact or unreasonable configuration in existing technologies.

[0099] As one possible implementation, the tagging unit includes a grouping module and an acquisition module.

[0100] The grouping module is used to group test subjects based on the work scenario to obtain multiple target test groups. Each target test group includes test subjects of different age groups, and the difference between the head circumference of each test subject and the benchmark head circumference is within the first threshold.

[0101] Specifically, test subjects are grouped according to their age, gender, and physiological characteristics such as head circumference to ensure that each target test group includes representative samples from different age groups and genders. This grouping method ensures the breadth and scientific rigor of the test and can meet the monitoring needs of different populations.

[0102] The acquisition module is used to acquire preset installation positions and mark the electrode installation on each target test group in sequence based on the preset installation positions. Each test object includes electrode marks corresponding to all preset installation positions.

[0103] Specifically, the preset electrode placement positions are selected based on the anatomical features and physiological data analysis of the forehead area to determine the optimal electrode placement. For each test subject in each target test group, the electrode placement positions are accurately determined based on their head circumference and facial features.

[0104] As one possible implementation, the first test unit includes: an electrode test module, a combination module, and a position determination module.

[0105] The electrode testing module is used to perform electrode testing on each electrode mark by a single sensing electrode to obtain multiple resistance values, and to determine at least the third target position for the installation of a single sensing electrode based on the resistance values. The third target position is the position where the single sensing electrode is installed tightly.

[0106] Specifically, at the pre-marked electrode position, a single inductive electrode is used to perform a resistance test. An electrode is placed at a set position on the forehead of the test subject, the signal acquisition device is activated and the resistance value between the electrode and the skin is recorded. At the same time, parameters such as contact pressure, contact area and skin temperature are recorded. The resistance value reflects the tightness of the contact between the electrode and the skin. A lower resistance value usually means that the contact between the electrode and the skin is tighter and the signal conduction performance is better.

[0107] The combination module is used to randomly combine based on electrode markings to obtain multiple alternative installation combinations, perform electrode testing based on each alternative installation combination to obtain multiple resistance value groups, and determine at least the target installation combination for multiple sensing electrode installations based on each resistance value group.

[0108] Specifically, based on all electrode marking combinations, multiple alternative installation combinations are generated. These combinations represent different electrode installation location schemes, aiming to further optimize the installation scheme. For each alternative installation combination, electrode testing is performed, measuring the resistance value of each electrode in the corresponding combination, and obtaining a set of resistance values. By analyzing the test results of multiple alternative installation combinations and comparing the resistance values ​​of different combinations, several target installation combinations are selected. These combinations have lower resistance values, indicating a higher degree of electrode tightness at these locations, making them suitable for monitoring tasks.

[0109] The location determination module is used to determine the installation location included in the third target location and the target installation combination as the first target location.

[0110] Specifically, the tightest single electrode mounting position (the third target position) is combined with the optimal electrode mounting combination (the target mounting combination) selected from multiple alternative mounting combinations. The final result is the determination of the first target position, i.e., the optimal electrode mounting scheme. This scheme considers not only the tight mounting position of individual electrodes but also the overall combination of electrode mounting positions, ensuring the overall tightness and accuracy of the electrodes in the forehead region, providing the best monitoring effect.

[0111] As one possible implementation, the electrode testing module includes: a data acquisition submodule, a first resistance acquisition submodule, and a position determination submodule.

[0112] The data acquisition submodule is used to acquire feedback data from the test object. The feedback data includes at least whether the presence of the sensing electrode corresponding to the electrode mark can be detected.

[0113] Specifically, information about the sensing electrodes is obtained through a feedback mechanism from the test subject. The feedback data includes whether the test subject can perceive the presence of the sensing electrodes at the marked locations. The feedback from the test subject can be obtained through subjective user perception or automatic detection by sensors or devices. If the test subject perceives the electrode markings, it indicates that the electrode position may be in proper contact with the skin; if the test subject cannot perceive the presence of the sensing electrodes, it may indicate poor electrode contact, requiring further optimization of the installation location.

[0114] The first resistance acquisition submodule is used to acquire the resistance value between the sensing electrode and the skin when the feedback data is that the presence of the sensing electrode corresponding to the electrode mark cannot be detected.

[0115] Specifically, if feedback data shows that the test subject cannot perceive the presence of the electrode, it can be determined that the electrode may be in poor contact with the skin, resulting in poor signal transmission or that the electrode is installed off-center. Therefore, it is necessary to further measure the resistance between the electrode and the skin to quantify the tightness of the contact. A larger resistance value usually indicates poor contact between the electrode and the skin, resulting in poor signal transmission; while a smaller resistance value indicates a tighter electrode installation and better signal transmission.

[0116] The location determination submodule is used to determine the electrode marker corresponding to the resistance value as the third target location when the resistance value is less than the second threshold.

[0117] Specifically, when the measured resistance value is less than the preset second threshold, it indicates that the electrode is in good contact with the skin, the signal conduction is good, and the installation requirements are met. In this case, the electrode mark with the lower resistance value is the position where the installation is most secure, referred to as the third target position.

[0118] As one possible implementation, the combination module includes: a second resistance acquisition submodule, a contact coefficient submodule, a prediction module, and a combination determination module.

[0119] The second resistance acquisition submodule is used to acquire the resistance values ​​corresponding to the electrode marks included in the alternative installation combination based on the alternative installation combination, and obtain the resistance value group.

[0120] Specifically, based on multiple alternative installation combinations, electrode testing is performed on each electrode mark in each installation combination to obtain the resistance value of each electrode. Each electrode mark corresponds to a resistance value, and the resistance values ​​of all electrode marks will form a resistance value group.

[0121] The contact coefficient submodule is used to obtain the total contact area of ​​the sensing electrode, calculate the ratio of the resistance value set to the total contact area, and obtain the contact coefficient.

[0122] Specifically, the total contact area of ​​all sensing electrodes is obtained, that is, the sum of the surface areas of each electrode in contact with the skin. Then, based on the relationship between the resistance value of each electrode and the total contact area, the ratio of the resistance value set to the total contact area is calculated, thus obtaining a value called the contact coefficient. The contact coefficient reflects the contact quality between the sensing electrode and the skin; a lower contact coefficient indicates better electrode contact and more stable signal transmission.

[0123] The prediction module is used to predict the target installation combination of multiple sensing electrodes based on the third target location, and obtain the predicted installation combination.

[0124] Specifically, multiple alternative installation combinations are predicted by combining the third target location (i.e., the electrode installation location determined by feedback data and resistance values). The prediction process considers factors such as the resistance value, contact area, and relative positional relationship between each electrode to calculate the optimal electrode installation combination. The predicted target installation combination should meet the predetermined monitoring requirements, such as the stability and accuracy of signal acquisition.

[0125] The combination determination module is used to determine the candidate installation combination as the target installation combination when the candidate installation combination is consistent with the predicted installation combination and the contact coefficient corresponding to the candidate installation combination is the smallest.

[0126] Specifically, the alternative installation combination and the predicted installation combination are compared. If the alternative installation combination matches the predicted installation combination, and the contact coefficient corresponding to the alternative installation combination is the minimum among all alternative combinations, it indicates that this installation combination best meets the installation requirements and can provide the best signal transmission effect. In this case, the alternative installation combination is selected as the final target installation combination.

[0127] As one possible implementation, the second test unit includes an accuracy calculation module.

[0128] The accuracy calculation module is used to acquire the identification signals of the sensing electrodes at each first target location and to calculate the accuracy based on the identification signals.

[0129] Among them, PRE initial For accuracy, F is the activation function used to convert the recognition signal into a preset format, and P... comb,i E represents the first target position corresponding to the i-th sensing electrode. best,i Let μ be the contact coefficient of the i-th electrode. E σ is the average of the contact coefficients of all sensing electrodes. E ω represents the dispersion of the contact coefficient, and ω is the frequency coefficient.

[0130] Therefore, by conducting accuracy tests on the identification positions of each primary target, high precision in the installation of the sensing electrodes can be ensured, thereby guaranteeing the quality of signal acquisition. This method combines the contact coefficient of the electrodes, the frequency response of the signal, and the accuracy calculation of the identified signal, effectively improving the accuracy of electrode installation and reducing signal distortion caused by installation errors.

[0131] As one possible implementation, the second test unit also includes a correction module.

[0132] The correction module is used to correct the accuracy based on the contact coefficient, resulting in the accuracy value: PRE. final =PRE initial ·θ β Among them, PRE final θ is the accuracy value, β is the adjustment factor for the influence of the contact coefficient on the recognition accuracy, and β is the nonlinear influence of the contact coefficient.

[0133] Therefore, by correcting the recognition accuracy based on the contact coefficient, the accuracy calculation of electrode installation can be made more closely aligned with practical applications. The corrected accuracy value better reflects the impact of the electrode's contact quality with the skin, thus enabling more accurate selection of electrode placement.

[0134] As one possible implementation, the second test unit also includes a target location determination module.

[0135] The target location determination module is used to determine the first target location as the second target location if the accuracy value corresponding to the first target location is greater than or equal to the third threshold.

[0136] Specifically, the accuracy threshold (third threshold) is a preset standard used to evaluate whether the accuracy of the electrode installation position meets the requirements. This threshold can be set according to the needs of actual application. Generally, higher accuracy means better quality contact between the electrode and the skin, and stronger signal transmission stability. If the accuracy value of the first target position does not reach the third threshold, it means that the position does not meet the usage requirements and the electrode needs to be reinstalled or adjusted. If the accuracy value meets the requirements, the position is directly confirmed as the second target position.

[0137] As one possible implementation, the determining unit includes: a first scheme determining module and a second scheme determining module.

[0138] The first scheme determination module is used to determine the second target location as the target installation scheme when the second target location and the third target location are consistent.

[0139] Specifically, if the second target position is consistent with the third target position, it means that the position has met the usage requirements in the previous accuracy test and optimization, and there is no need to make additional adjustments. The position can be directly selected as the final electrode installation scheme.

[0140] The second scheme determination module is used to determine the target installation scheme with the smallest number of induction electrodes when the second target location belongs to the target installation combination.

[0141] Specifically, if the second target location is part of the target installation combination, the next step is to compare the number of sensing electrodes in each alternative combination and select the combination with the fewest electrodes as the target installation scheme. This ensures that the number of electrodes used is minimized while meeting monitoring requirements, avoiding complexity or redundancy issues caused by excessive electrodes.

[0142] As one possible implementation, the prediction module also includes a regeneration submodule.

[0143] The Regenerate submodule is used to regenerate alternative installation combinations when none of the alternative installation combinations match the predicted installation combination.

[0144] Furthermore, when the predicted installation combination differs from the current alternative installation combination, it indicates that the current alternative combination may not have adequately considered the influence of the third target location or its accuracy requirements. Therefore, the system needs to generate a new set of alternative installation combinations, which not only ensures consistency between the electrode installation scheme and the predicted installation combination, but also optimizes the electrode position configuration, reduces unnecessary electrode usage, and improves system performance.

[0145] The aforementioned device for determining the installation position of the operator's sensing electrode includes a processor and a memory. The marking unit, first test unit, second test unit, and determining unit are all stored as program units in the memory. The processor executes these program units stored in the memory to achieve the corresponding functions. All of the above modules are located in the same processor; alternatively, the modules may be located in different processors in any combination.

[0146] The processor contains a kernel, which retrieves the corresponding program units from memory. One or more kernels can be configured, and adjusting kernel parameters can address the problem of insufficient monitoring accuracy in existing technologies caused by unstable electrode contact or improper configuration.

[0147] The memory may include non-permanent memory in computer-readable media, such as random access memory (RAM) and / or non-volatile memory, such as read-only memory (ROM) or flash RAM, and the memory includes at least one memory chip.

[0148] This invention provides a computer-readable storage medium including a stored program, wherein, when the program is executed, it controls the device containing the computer-readable storage medium to perform the method for determining the installation position of the operator's sensing electrode.

[0149] This invention provides a processor for running a program, wherein the program executes the method for determining the installation position of the operator's sensing electrode.

[0150] This invention provides a communication system, which includes a primary communication domain, a secondary communication domain processor, a memory, and a program stored in the memory and executable on the processor. When the processor executes the program, it implements at least the steps of the method for determining the installation position of the operator's sensing electrode described above.

[0151] This application also provides a computer program product that, when executed on a data processing device, is adapted to perform a program that initializes a method for determining the installation position of at least the aforementioned operator sensing electrodes.

[0152] It is obvious to those skilled in the art that the modules or steps of the present invention described above can be implemented using general-purpose computing devices. They can be centralized on a single computing device or distributed across a network of multiple computing devices. They can be implemented using computer-executable program code, and thus can be stored in a storage device for execution by a computing device. In some cases, the steps shown or described can be performed in a different order than those described herein, or they can be fabricated as separate integrated circuit modules, or multiple modules or steps can be fabricated as a single integrated circuit module. Thus, the present invention is not limited to any particular combination of hardware and software.

[0153] Those skilled in the art will understand that embodiments of this application can be provided as methods, systems, or computer program products. Therefore, this application can take the form of a completely hardware embodiment, a completely software embodiment, or an embodiment combining software and hardware aspects. Furthermore, this application can take the form of a computer program product embodied on one or more computer-usable storage media (including but not limited to disk storage, CD-ROM, optical storage, etc.) containing computer-usable program code.

[0154] This application is described with reference to flowchart illustrations and / or block diagrams of methods, apparatus (systems), and computer program products according to embodiments of this application. It will be understood that each block of the flowchart illustrations and / or block diagrams, and combinations of blocks in the flowchart illustrations and / or block diagrams, can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, special-purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, generate instructions for implementing the flowchart... Figure 1 One or more processes and / or boxes Figure 1 A device that provides the functions specified in one or more boxes.

[0155] These computer program instructions may also be stored in a computer-readable storage medium that can direct a computer or other programmable data processing device to function in a particular manner, such that the instructions stored in the computer-readable storage medium produce an article of manufacture including instruction means, which are implemented in a process Figure 1 One or more processes and / or boxes Figure 1 The function specified in one or more boxes.

[0156] These computer program instructions may also be loaded onto a computer or other programmable data processing equipment to cause a series of operational steps to be performed on the computer or other programmable equipment to produce a computer-implemented process, thereby providing instructions that execute on the computer or other programmable equipment for implementing the process. Figure 1 One or more processes and / or boxes Figure 1 The steps of the function specified in one or more boxes.

[0157] In a typical configuration, a computing device includes one or more processors (CPU), input / output interfaces, network interfaces, and memory.

[0158] Memory may include non-persistent memory in computer-readable media, such as random access memory (RAM) and / or non-volatile memory, such as read-only memory (ROM) or flash RAM. Memory is an example of computer-readable media.

[0159] Computer-readable media includes both permanent and non-permanent, removable and non-removable media that can store information using any method or technology. Information can be computer-readable instructions, data structures, modules of programs, or other data. Examples of computer storage media include, but are not limited to, phase-change memory (PRAM), static random access memory (SRAM), dynamic random access memory (DRAM), other types of random access memory (RAM), read-only memory (ROM), electrically erasable programmable read-only memory (EEPROM), flash memory or other memory technologies, CD-ROM, digital versatile optical disc (DVD) or other optical storage, magnetic tape, disk storage or other magnetic storage devices, or any other non-transferable medium that can be used to store information accessible by a computing device. As defined herein, computer-readable media does not include transient computer-readable media, such as modulated data signals and carrier waves.

[0160] It should also be noted that the terms "comprising," "including," or any other variations thereof are intended to cover non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements includes not only those elements but also other elements not expressly listed, or elements inherent to such process, method, article, or apparatus. Unless otherwise specified, an element defined by the phrase "comprising one..." does not exclude the presence of other identical elements in the process, method, article, or apparatus that includes that element.

[0161] As can be seen from the above description, the embodiments of this application achieve the following technical effects:

[0162] 1) The method for determining the installation position of sensing electrodes for operators in this application first marks the forehead area of ​​the test subject with electrodes based on a preset installation position, obtaining at least one electrode mark; then, electrode testing is performed based on each electrode mark, and a first target position for tight installation of the sensing electrodes is determined based at least on the resistance value obtained from the electrode testing; subsequently, recognition accuracy testing is performed on each first target position, and a second target position where the accuracy of the sensing electrodes meets the usage requirements is determined based at least on the accuracy value obtained from the recognition accuracy test; finally, a target installation scheme is determined based on the second target position, which is a combination scheme that includes the minimum number of sensing electrodes in the second target position while meeting monitoring requirements. This application provides an efficient and accurate electrode installation method. By calibrating and testing the electrode positions under various working environments, the electrode placement scheme can be effectively optimized, enabling the minimum number of electrodes to collect physiological signals at the most accurate positions, thereby improving the signal acquisition quality of the electrodes, optimizing electrode use, and meeting the precise monitoring needs under different working environments. It solves the problem of insufficient monitoring accuracy caused by unstable electrode contact or unreasonable configuration in the prior art.

[0163] 2) The device for determining the installation position of sensing electrodes for workers according to this application includes: a marking unit, a first testing unit, a second testing unit, and a determining unit. The marking unit is used to mark the electrode installation position on the forehead region of the test subject based on a preset installation position, obtaining at least one electrode mark. The first testing unit is used to perform electrode tests based on each electrode mark, and determine a first target position where the sensing electrode is tightly installed, at least based on the resistance value obtained from the electrode tests. The second testing unit is used to perform recognition accuracy tests on each first target position, and determine a second target position where the sensing electrode accuracy meets the usage requirements, at least based on the accuracy value obtained from the recognition accuracy tests. The determining unit is used to determine a target installation scheme based on the second target position, wherein the target installation scheme is a combination scheme that includes the minimum number of second target positions while meeting monitoring requirements. This device, through multiple tests and optimizations of the electrode contact position, accurately determines the optimal installation position of the electrode on the forehead region of the worker, ensuring close contact between the electrode and the skin, thereby achieving high-quality acquisition of physiological signals, reducing signal distortion and interference, and solving the problem of insufficient monitoring accuracy caused by unstable electrode contact or unreasonable configuration in the prior art.

[0164] The above are merely preferred embodiments of this application and are not intended to limit this application. Various modifications and variations can be made to this application by those skilled in the art. Any modifications, equivalent substitutions, improvements, etc., made within the spirit and principles of this application should be included within the protection scope of this application.

Claims

1. A method of determining a mounting position of a worker induction electrode, characterized by, The method comprises the following steps: electrode installation marks are made on the forehead area of the test object based on preset installation positions, to obtain at least one electrode mark; electrode tests are performed based on each of the electrode marks, and first target positions where the inductive electrodes are installed tightly are determined based on at least the resistance values obtained from the electrode tests; recognition accuracy tests are performed on each of the first target positions, and second target positions where the inductive electrodes meet the use requirements in terms of accuracy are determined based on at least the accuracy values obtained from the recognition accuracy tests; a target installation scheme is determined based on the second target positions, and the target installation scheme is a combination scheme of the second target positions including the minimum number of inductive electrodes under the condition of meeting the monitoring requirements; electrode installation marks are made on the forehead area of the test object based on preset installation positions, which comprises the following steps: the test objects are grouped based on work scenes to obtain a plurality of target test groups, each of the target test groups includes test objects of each age group, and the difference between the head circumference of each test object and the reference head circumference is within a first threshold value; the preset installation positions are obtained, and electrode installation marks are made on each of the target test groups based on the preset installation positions, wherein each of the test objects includes the electrode marks corresponding to all the preset installation positions; electrode tests are performed based on each of the electrode marks, and first target positions where the inductive electrodes are installed tightly are determined based on at least the resistance values obtained from the electrode tests, which comprises the following steps: the electrode tests are performed on each of the electrode marks by a single inductive electrode to obtain a plurality of resistance values, and third target positions where a single inductive electrode is installed are determined based on at least the resistance values; a plurality of alternative installation combinations are obtained based on random combinations of the electrode marks, the electrode tests are performed based on each of the alternative installation combinations to obtain a plurality of resistance value groups, and a target installation combination where a plurality of inductive electrodes are installed is determined based on at least each of the resistance value groups; the third target positions and the installation positions included in the target installation combination are determined as the first target positions; at least the resistance values are used to determine third target positions where a single inductive electrode is installed, which comprises the following steps: feedback data of the test object is obtained, and the feedback data at least includes whether the existence of the inductive electrode corresponding to the electrode mark can be perceived; in the case that the feedback data is unable to perceive the existence of the inductive electrode corresponding to the electrode mark, the resistance value between the inductive electrode and the skin is obtained; in the case that the resistance value is less than a second threshold value, the electrode mark corresponding to the resistance value is determined as the third target position; recognition accuracy tests are performed on each of the first target positions, which comprises the following steps: the recognition signals of the inductive electrodes of each of the first target positions are obtained, and accuracy calculations are performed based on the recognition signals; ； wherein, is the accuracy, F is an activation function for converting the identification signal into a preset format, is the first target position corresponding to the i-th sensing electrode, is the contact coefficient of the i-th electrode, is the average of the contact coefficients of all the sensing electrodes, is the dispersion degree of the contact coefficients, is the frequency coefficient; before the second target positions where the inductive electrodes meet the use requirements in terms of accuracy are determined based on at least the accuracy values obtained from the recognition accuracy tests, the method further comprises the following steps: The accuracy is corrected based on the contact coefficient to obtain the precision value: ； wherein is the precision value, is an adjustment factor for the influence of the contact coefficient on the recognition precision, is a non-linear influence of the contact coefficient.

2. The method of claim 1, wherein, The electrodes are tested based on each of the candidate mounting combinations to obtain multiple sets of resistance values. At least based on each set of resistance values, multiple target mounting combinations for the sensing electrodes are determined, including: Based on the alternative installation combinations, the resistance values ​​corresponding to the electrode marks included in the alternative installation combinations are obtained to obtain the resistance value group; Obtain the total contact area of ​​the sensing electrode, calculate the ratio of the resistance value group to the total contact area, and obtain the contact coefficient; Based on the third target location, the target mounting combination of the multiple sensing electrodes is predicted to obtain the predicted mounting combination; If the alternative installation combination matches the predicted installation combination, and the contact coefficient corresponding to the alternative installation combination is the smallest, then the alternative installation combination is determined as the target installation combination.

3. The method of claim 1, wherein, The method further includes determining a second target position where the accuracy of the sensing electrode meets the usage requirements based at least on the accuracy value obtained from the recognition accuracy test, and the determination of the accuracy of the sensing electrode at least on the accuracy value obtained from the recognition accuracy test. If the accuracy value corresponding to the first target position is greater than or equal to the third threshold, the first target position is determined as the second target position.

4. The method of claim 3, wherein, Based on the second target location, a target installation plan is determined, including: If the second target location coincides with the third target location, the second target location will be determined as the target installation scheme. If the second target location belongs to the target installation combination, the target installation combination with the smallest number of induction electrodes is determined as the target installation scheme.

5. The method of claim 4, wherein, Based on the third target location, the target mounting combination of the plurality of sensing electrodes is predicted to obtain a predicted mounting combination, which further includes: If none of the alternative installation combinations are consistent with the predicted installation combination, the alternative installation combinations are regenerated.

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