A method and system for determining a rescuer physiological cognitive response relationship

Abstract

The application discloses a kind of rescue personnel physiological cognitive response relationship determination method and system, it is related to human body protection technical field.The method comprises the following steps: obtaining physiological parameters and cognitive data of rescue personnel, correlation analysis is carried out on physiological parameters and cognitive data, and physiological cognitive response curve is obtained;Introduce time factor to physiological cognitive response curve, and divide into multiple curve segments with time point as node;The minimum value of the multiple curve segments is calculated respectively, the minimum values of all curves are compared, and the smallest minimum value is determined as the symbolic index of excessive physiological burden;The curve where the symbolic index is located is optimized in parameters, and the physiological cognitive response relationship is obtained.The application discloses the important connection between the physiological state of rescue personnel and cognitive function, and by reasonably managing and intervening the physiological state of rescue personnel, the cognitive performance and task execution efficiency can be improved, so as to enhance the success rate of rescue task and personnel safety.

Description

Technical Field

[0001] The present invention relates to the technical field of human body protection, and in particular to a method and system for determining the physiological-cognitive-response relationship of rescuers. Background Art

[0002] Physiological response refers to the body's reaction to stressful stimuli, such as increased heart rate, elevated blood pressure, and deeper and faster breathing. A good physiological state helps maintain normal brain function, improving mental agility, memory, and learning outcomes. Conversely, a poor physiological state can lead to a decline in cognitive function, such as inattention and slow reaction times. Cognitive response refers to changes in cognitive functions such as thinking, attention, memory, and decision-making under stressful situations. In disaster situations, rescuers need to make decisions, process information, and adjust their actions quickly. This requires them to be focused, flexible, and able to quickly process and memorize large amounts of information. The cognitive response process is largely related to the effectiveness and success of rescue operations.

[0003] Overall, the physiological-cognitive response relationship plays a crucial role for rescue workers in disaster settings. By maintaining a healthy physiological state and optimizing cognitive function, it helps them better adapt to urgent and complex environments, improve their work efficiency, and maximize the protection of life and property. Understanding this physiological-cognitive response relationship can also help optimize rescue worker training and support, helping them better cope with the stress and challenges of disasters. Providing appropriate training and support can enhance rescue workers' coping abilities in disaster settings, mitigate potential psychological and physical stress, and ensure they effectively carry out their rescue missions.

[0004] The current technical solution describes the impact of disaster environments on the physiology and cognition of rescue workers. The specific steps are as follows: First, clearly define the research problem, including selecting a specific disaster type and clarifying the research purpose. Through a literature review, understand the main findings and methods of existing studies to provide reference for the research design. Determine the research design, including selecting appropriate research methods and sample size. In the data collection stage, select appropriate physiological and cognitive measurement tools and conduct field surveys, which may involve observation and field measurements. In data analysis, use appropriate statistical and analytical methods to explore the relationship between physiological and cognitive data. Finally, interpret the research results, compare them with the literature review, discuss the practical significance, and write a detailed research report to ensure compliance with ethical standards.

[0005] The defects of the above-mentioned prior art are: it does not explain the physiological-cognitive response relationship of rescue personnel in disaster environments, and lacks understanding of the interaction between physiology and cognition. Summary of the Invention

[0006] Based on this, it is necessary to provide a method and system for determining the physiological cognitive response relationship of rescuers to address the above technical issues.

[0007] An embodiment of the present invention provides a method for determining a physiological-cognitive-response relationship of a rescuer, comprising:

[0008] Obtain the physiological parameters and cognitive data of the rescuers, perform correlation analysis on the physiological parameters and cognitive data, and obtain the physiological cognitive response curve;

[0009] The physiological cognitive response curve was divided into multiple curves with time points as nodes, which represent the changes in the rescuer's cognitive state with the physiological state. The minimum values ​​of the multiple curves were calculated as indicators of excessive physiological burden on the rescuer's cognitive state. The minimum values ​​of all curves were compared, and the smallest minimum value was determined as the hallmark indicator of excessive physiological burden.

[0010] The parameters of the curves containing the landmark indicators were optimized to obtain the physiological-cognitive response relationship.

[0011] In addition, the physiological data include: heart rate, blood oxygen saturation, body temperature, blood pressure, sweat volume, stress hormone levels and autonomic nervous system activity; the cognitive data include: attention allocation in a stressful environment, potential impact on memory function and decision-making ability.

[0012] In addition, the correlation analysis uses a multiple linear regression method: using physiological parameters as independent variables and cognitive data as dependent variables to establish a physiological cognitive response curve.

[0013] Additionally, the excessive physiological burden indicators include abnormal hormone levels and a persistently elevated heart rate.

[0014] In addition, the parameter optimization includes: adjusting model parameters according to the degree of fit between the physiological cognitive response relationship and the actual data.

[0015] Additionally, a system for determining a physiological-cognitive-response relationship of a rescuer includes:

[0016] The data acquisition layer is used to obtain the physiological parameters and cognitive data of the rescuers, perform correlation analysis on the physiological parameters and cognitive data, and obtain the physiological cognitive response curve;

[0017] The data processing and analysis layer is used to introduce the time factor into the physiological cognitive response curve, dividing it into multiple curves with time points as nodes, to characterize the changes in the rescuer's cognitive state with the physiological state; the minimum values ​​of the multiple curves are calculated as indicators of excessive physiological burden on the rescuer's cognitive state, the minimum values ​​of all curves are compared, and the smallest minimum value is determined as a landmark indicator of excessive physiological burden;

[0018] The model building layer is used to optimize the parameters of the curves where the landmark indicators are located to obtain the physiological cognitive response relationship.

[0019] In addition, the data acquisition layer obtains the physiological parameters of the rescuers including: sensors, body fluid measuring equipment, and electrocardiogram equipment; the sensors are used to collect heart rate, blood oxygen saturation, body temperature, blood pressure, and sweat volume; the body fluid measuring equipment is used to measure stress hormone levels by collecting blood or saliva samples; the electrocardiogram equipment is used to measure autonomic nervous system activity using electrocardiogram ECG technology.

[0020] In addition, the data collection layer obtains cognitive parameters of rescuers including: eye tracker and attention test assessment, questionnaire survey, and emergency simulation; the eye tracker and attention test assessment are used to evaluate attention allocation in a stressful environment; the questionnaire survey is used to measure the potential impact of physiological stress on memory function using memory tests and questionnaires; the emergency simulation is used to evaluate decision-making ability under physiological activation state using decision-making tasks and simulated emergency situations.

[0021] The method and system for determining the physiological-cognitive-response relationship of rescuers provided in the embodiments of the present invention have the following beneficial effects compared to the prior art:

[0022] The present invention obtains the physiological parameters and cognitive data of rescue personnel, performs correlation analysis on the physiological parameters and cognitive data, and obtains a physiological-cognitive response curve; introduces a time factor into the physiological-cognitive response curve, and divides it into multiple curves with time points as nodes; calculates the minimum values ​​of the multiple curves respectively, compares the minimum values ​​of all the curves, and determines the smallest minimum value as a landmark indicator of excessive physiological burden; and optimizes the parameters of the curve where the landmark indicator is located to obtain a physiological-cognitive response relationship.

[0023] Compared with existing technologies, this method reveals the important connection between the physiological state and cognitive function of rescuers. By rationally managing and intervening in the physiological state of rescuers, their cognitive performance and task execution efficiency can be improved, thereby enhancing the success rate of rescue missions and personnel safety. BRIEF DESCRIPTION OF THE DRAWINGS

[0024] Figure 1 A flowchart of a method for determining a physiological-cognitive-response relationship of a rescuer provided in one embodiment;

[0025] Figure 2 A cognitive signal measurement diagram of a method for determining a physiological-cognitive response relationship of a rescuer provided in one embodiment;

[0026] Figure 3 A physiological parameter measurement diagram of a method for determining a physiological-cognitive-response relationship of a rescuer provided in one embodiment;

[0027] Figure 4 This is a physiological cognitive response curve diagram of a method for determining a physiological cognitive response relationship of a rescuer provided in one embodiment. DETAILED DESCRIPTION

[0028] In order to make the purpose, technical solutions and advantages of the present invention more clearly understood, the present invention will be further described in detail below with reference to the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are only used to explain the present invention and are not intended to limit the present invention.

[0029] In one embodiment, a method for determining a physiological-cognitive-response relationship of a rescuer is provided, the method comprising:

[0030] 1. Model Overview

[0031] The primary goal of this paper is to construct a comprehensive model of the physiological-cognitive responses of rescue workers in disaster environments. This model incorporates multiple levels of correlation between physiological parameters and cognitive states, modeling these complex relationships through techniques such as neural networks and machine learning.

[0032] 2. Detailed steps (1) Construction of physiological cognitive response curve:

[0033] ① Physiological parameter measurement: When constructing the physiological-cognitive response relationship, it is first necessary to accurately measure the physiological state of the rescuer. This includes but is not limited to:

[0034] Heart rate, blood oxygen saturation, body temperature, blood pressure, and sweat volume. These parameters are collected in real time through sensors to provide basic physiological data for the model.

[0035] Stress hormone measurement: By collecting blood or saliva samples, the level of stress hormones (such as cortisol) is measured to reflect the physiological stress state;

[0036] Autonomic nervous system activity measurement: Using techniques such as electrocardiogram (ECG), the activity of the autonomic nervous system, such as the balance between sympathetic and parasympathetic nerves, is monitored.

[0037] ②Cognitive function assessment:

[0038] The cognitive function of rescuers is assessed through various cognitive tasks and psychometric tools. Cognitive abilities include:

[0039] Attention tasks: Use eye trackers or task-related attention tests to assess attention allocation in stressful environments; Memory tasks: Use memory tests and questionnaires to understand the potential impact of physiological stress on memory function; Decision-making tasks: Use decision-making tasks and simulated emergency situations to assess decision-making ability under physiological activation, etc.

[0040] Electroencephalography (EEG) and electromyography (EMG) are two important physiological signal measurement methods used to capture cognitive and motor signals in the human body. They play a key role in various applications, especially in the study of cognitive function, motor control, and brain-computer interfaces.

[0041] Electroencephalography (EEG) measures cognitive signals, such as attention. By monitoring frequency bands in specific brain regions, such as theta and alpha waves, an individual's attention level can be assessed. Increased theta waves are often associated with a state of relaxation or mental distraction, while decreased alpha waves may be associated with focused attention. Cognitive load assessment: By analyzing the power spectral density of EEG signals, the degree of load placed on the brain by cognitive tasks can be understood. Higher frequencies and larger amplitudes may indicate increased cognitive workload.

[0042] Electromyography (EMG) measures cognitive signals: Monitoring changes in EMG signals can provide information about fatigue levels. Fatigue-induced changes in muscle electrical activity can be used to assess the potential for cognitive and motor performance decline. Combining EEG and EMG signals allows for a more comprehensive assessment of cognitive status. For example, when EEG signals show elevated theta waves and EMG signals indicate fatigue, this may indicate cognitive decline. Conversely, lower theta waves and improved motor coordination may indicate higher levels of attention and cognitive performance.

[0043] ③Research theoretical support:

[0044] When constructing a relationship, it is necessary to draw on relevant research and theoretical support to ensure the scientific nature of the model. For example:

[0045] Yerkes-Dodson law: This law states that there is an inverted U-shaped relationship between physiological activation and cognitive performance, that is, moderate physiological activation helps cognitive function, but excessive activation may have a negative impact;

[0046] Bidirectional influence theory: takes into account the feedback of cognitive activities themselves on physiological state, including neural regulation, hormone secretion, etc.

[0047] ④Data analysis and modeling:

[0048] By collecting data on physiological parameters and cognitive functions, and using statistical methods such as correlation analysis and regression analysis, a mathematical model of the relationship between physiological and cognitive responses can be established. This requires considering the complex relationships between multiple variables and may involve time series analysis to reveal the dynamic connection between physiology and cognition.

[0049] ⑤ Interpretation of results and practical application:

[0050] Finally, the research findings are explained, demonstrating the practical applicability of the relationship. For example, describing how physiological activation may improve attention but reduce memory during rescue missions, thus providing disaster relief teams with better working strategies in emergency situations.

[0051] (2) Determining the hallmarks of excessive physiological burden

[0052] Based on the above “physiological-cognitive” response relationship, consider:

[0053] ① Time factors and phased changes:

[0054] Considering the long-term nature of disaster relief missions, we introduced a time factor and divided the model into different phases. In the early stages of a disaster, moderate physiological activation may improve cognitive function, but over time, physiological activation may become excessive and lead to cognitive decline. This consideration of stage-by-stage changes more accurately depicts the physiological and cognitive patterns of rescuers at different stages.

[0055] ②Significant indicators of excessive physiological burden:

[0056] Through literature review and empirical research, we identify markers of excessive physiological burden, such as abnormal hormone levels and persistently elevated heart rate. These markers can serve as key markers for the overactivation phase of the model, allowing for observation and intervention.

[0057] (3) Physiological and cognitive response relationship

[0058] Parameter optimization is performed on the curves containing the landmark indicators to obtain the physiological and cognitive response relationship. Parameter optimization refers to the use of existing data to optimize and verify parameters. By adjusting the model parameters to improve its accuracy and reliability based on the degree of fit with the actual data.

[0059] ④Integration of management and support strategies:

[0060] Integrate effective management and support strategies into the model, including fatigue management, rest and recovery measures, and psychological support. The model should be able to guide the adoption of different strategies at different stages to maximize the maintenance of rescuers' cognitive function.

[0061] ⑤ Interpretation of results and practical application:

[0062] Finally, the model's results are interpreted to guide operations in actual disaster relief missions, explaining what measures to take at different stages to maximize the maintenance of rescuers' cognitive functions and reduce the risk of errors and accidents.

[0063] The physiological-cognitive change model developed through the above construction process can provide disaster rescue personnel with scientific, personalized fatigue management and support strategies, improving their work efficiency and safety during long-term missions. The establishment of this model has important practical application value and provides a scientific basis for management and training in the disaster rescue field.

[0064] 3. In one embodiment, a system for determining a physiological-cognitive-response relationship of a rescuer is provided, the system comprising:

[0065] (1) Data acquisition layer, used to obtain the physiological parameters and cognitive data of rescuers, perform correlation analysis on the physiological parameters and cognitive data, and obtain the physiological cognitive response curve.

[0066] The data collection layer acquires the rescuer's physiological parameters through sensors, body fluid measurement devices, and electrocardiogram (ECG) equipment. Sensors are used to collect heart rate, blood oxygen saturation, body temperature, blood pressure, and sweat volume. Body fluid measurement devices measure stress hormone levels by collecting blood or saliva samples. ECG equipment uses electrocardiogram (ECG) technology to measure autonomic nervous system activity.

[0067] The data collection layer acquires cognitive parameters from rescuers, including eye tracking and attention assessments, questionnaires, and emergency simulations. Eye tracking and attention assessments assess attention allocation in stressful situations. Questionnaires use memory tests and questionnaires to measure the potential impact of physiological stress on memory function. Emergency simulations assess decision-making ability under physiological activation using decision-making tasks and simulated emergency situations.

[0068] (2) Data processing and analysis layer, which is used to introduce the time factor into the physiological cognitive response curve, divide it into multiple curves with time points as nodes, and characterize the changes in the cognitive state of the rescuer with the physiological state; calculate the minimum values ​​of the multiple curves as the excessive physiological burden indicator of the rescuer's cognitive state, compare the minimum values ​​of all curves, and determine the smallest minimum value as the iconic indicator of excessive physiological burden.

[0069] (3) Model construction layer, which is used to optimize the parameters of the curve where the landmark indicators are located to obtain the physiological cognitive response relationship.

[0070] 4. Practical Application - Firefighter Cognitive Status Visualization System

[0071] ①Data collection layer:

[0072] Integrate physiological monitoring equipment, including heart rate monitors, body temperature sensors, and hormone level meters, to obtain real-time physiological parameter data of firefighters. Develop a cognitive function assessment module, including designing cognitive function assessment tasks in different mission scenarios to obtain cognitive function data of firefighters;

[0073] ②Data processing and analysis layer:

[0074] Develop a dynamic correlation analysis algorithm to analyze the relationship between physiological parameters and cognitive functions. This layer is responsible for processing raw data, extracting key features, and generating data required for visualization;

[0075] ③Visualization layer:

[0076] Select appropriate visualization techniques, such as charts, virtual reality (VR), augmented reality (AR), etc., to visually present the physiological state and cognitive performance of firefighters. Develop dynamic visualization models to show the changes in physiological-cognitive relationships in different task scenarios in real time. For different data types, choose appropriate visualization techniques, such as line charts, heat maps, virtual reality scenes, etc. Keep the visualization interface simple and intuitive to avoid information overload. Based on the physiological-cognitive response model established above, consider the dynamic changes of physiological-cognitive relationships in different task scenarios, and update the visualization display in real time;

[0077] ④User interaction and control layer:

[0078] Design a user-friendly interface, including real-time monitoring panels, historical data queries, etc., to ensure that users can easily understand and operate the system. Consider user feedback mechanisms so that firefighters can provide practical opinions on system performance and visualization effects. Use graphical elements and language to ensure that users can quickly understand system information. Introduce real-time feedback mechanisms to allow firefighters to understand their status in a timely manner. Set up warning and reminder functions to alert the system when physiological parameters or cognitive functions exceed safe ranges.

[0079] The above-described embodiments only express several embodiments of the present application, and the description is more specific and detailed, but it should not be understood as limiting the scope of the patent. It should be noted that for ordinary skilled persons in the art, without departing from the concept of the present application, a number of modifications and improvements can be made, which are within the scope of the present application. Therefore, the scope of protection of the present application should be subject to the appended claims.

Claims

1. A method for determining the physiological-cognitive response relationship of rescuers, characterized in that: include: Obtain the rescuer's physiological parameters and cognitive data, perform correlation analysis on the physiological parameters and cognitive data, and obtain the physiological cognitive response curve; The physiological parameters include: heart rate, blood oxygen saturation, body temperature, blood pressure, sweat volume, stress hormone levels and autonomic nervous system activity; the cognitive data include: attention allocation in stressful environments, potential impact on memory function and decision-making ability; The physiological cognitive response curve is divided into multiple curve segments with time points as nodes, which represent the changes in the rescuer's cognitive state as the physiological state changes. The minimum values ​​of each curve segment are calculated as indicators of excessive physiological burden on the rescuer's cognitive state. The excessive physiological burden indicators include abnormal hormone levels and persistently elevated heart rate. The minimum values ​​of all curves are compared, and the smallest minimum value is determined as the hallmark indicator of excessive physiological burden. Parameters of the curve where the landmark indicator is located are optimized to obtain a physiological cognitive response relationship; the parameter optimization includes: adjusting the model parameters according to the degree of fit between the physiological cognitive response relationship and the actual data.

2. The method for determining the physiological-cognitive-response relationship of rescuers according to claim 1, wherein: The correlation analysis adopts the multiple linear regression method: the physiological parameters are used as independent variables and the cognitive data are used as dependent variables to establish the physiological cognitive response curve.

3. A system for determining the physiological cognitive response relationship of rescuers, characterized in that: include: The data acquisition layer is used to obtain the physiological parameters and cognitive data of the rescuers, perform correlation analysis on the physiological parameters and cognitive data, and obtain the physiological cognitive response curve; The physiological parameters include: heart rate, blood oxygen saturation, body temperature, blood pressure, sweat volume, stress hormone levels and autonomic nervous system activity; the cognitive data include: attention allocation in stressful environments, potential impact on memory function and decision-making ability; The data processing and analysis layer is used to introduce a time factor into the physiological cognitive response curve, dividing it into multiple curve segments with time points as nodes, to characterize how the rescuer's cognitive state changes with its physiological state. The minimum values ​​of each of the multiple curve segments are calculated as indicators of excessive physiological burden on the rescuer's cognitive state. Such excessive physiological burden indicators include abnormal hormone levels and a persistently elevated heart rate. The minimum values ​​of all curves are compared, and the smallest minimum value is determined as a significant indicator of excessive physiological burden. The model construction layer is used to optimize the parameters of the curve where the landmark indicators are located to obtain the physiological cognitive response relationship; the parameter optimization includes: adjusting the model parameters according to the degree of fit between the physiological cognitive response relationship and the actual data; The data collection layer acquires the physiological parameters of the rescuers, including sensors, body fluid measurement equipment, and electrocardiogram equipment; the sensors are used to collect heart rate, blood oxygen saturation, body temperature, blood pressure, and sweat volume; the body fluid measurement equipment is used to measure stress hormone levels by collecting blood or saliva samples; the electrocardiogram equipment is used to measure autonomic nervous system activity using electrocardiogram (ECG) technology; The data acquisition layer obtains cognitive parameters of rescuers including: eye tracker and attention test assessment, questionnaire survey, and emergency simulation; the eye tracker and attention test assessment are used to evaluate attention allocation in a stressful environment; the questionnaire survey is used to measure the potential impact of physiological stress on memory function using memory tests and questionnaires; the emergency simulation is used to evaluate decision-making ability under physiological activation state using decision-making tasks and simulated emergency situations.

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