System for monitoring consciousness response of heat stroke patient based on intelligent sensor

Abstract

The invention discloses a system for monitoring the consciousness response of a heat stroke patient based on an intelligent sensor, relates to the technical field of heat stroke, and aims to solve the problem that the condition monitoring of the heat stroke patient is inaccurate. According to the method, the difference between the illness state and the physical condition of each heat stroke patient is fully considered in the personalized adjustment stage, medical staff are allowed to carry out personalized adjustment on the treatment scheme according to the real-time response and the specific condition of the patient, and the personalized treatment strategy is beneficial to improving the pertinence and the effectiveness of treatment; by reasonably configuring the response frequency of the emergency response point, it can be ensured that limited medical resources can be fully utilized under the emergency situation, and the area where the emergency situation possibly occurs can be predicted in combination with the consciousness state change simulation diagram, so that preventive measures are taken in advance, and risks are reduced.

Description

Technical Field

[0001] The present invention relates to the technical field of heat stroke, and specifically to a system for monitoring the conscious response of heat stroke patients based on intelligent sensors. Background Art

[0002] Heat stroke is a serious condition in which the body's temperature rises rapidly because it cannot dissipate heat effectively.

[0003] Chinese patent document with publication number CN118743540A discloses a heat stroke monitoring and early warning method and system based on intelligent wearable devices. By mainly monitoring the physiological status, environment and individual conditions of soldiers in real time, the data acquisition module integrates multi-source data to form three data groups, calculates and generates a disease monitoring index Bzjc, enabling the system to comprehensively and multi-angularly monitor the physical conditions of soldiers, effectively evaluate their risks in high-temperature environments, and provide different levels of disease status evaluation schemes according to the matching of the disease monitoring index and the preset early warning threshold. At the same time, real-time alarms are given through sound and vibration, and the real-time feedback module displays the changing trends of physiological parameters and environmental conditions, providing personalized suggestions to help soldiers make rapid adjustments. Although the above patent solves the problem of intelligent monitoring, there are still the following problems in actual operation: 1. There is no use of more perfect and accurate monitoring equipment to comprehensively monitor heat stroke patients, resulting in inaccurate monitoring data of heat stroke patients.

[0004] 2. There is no effective data sorting and analysis of heat stroke patients based on the monitoring data, resulting in inaccurate analysis data of heat stroke patients.

[0005] 3. There is no effective formulation of treatment plans and monitoring of treatment conditions for heat stroke patients based on the monitoring data, resulting in the inability to accurately obtain the treatment effect. Summary of the Invention

[0006] The purpose of the present invention is to provide a system for monitoring the conscious response of heat stroke patients based on intelligent sensors. By fully considering the differences in the conditions and physical conditions of each heat stroke patient during the personalized adjustment stage, it allows medical staff to make personalized adjustments to the treatment plan according to the patient's real-time response and specific conditions. The personalized treatment strategy helps to improve the pertinence and effectiveness of treatment. By reasonably configuring the response frequency of emergency response points, it can ensure that limited medical resources can be fully utilized in case of emergencies. Combining with the simulation diagram of the change in consciousness state, it can predict the areas where emergencies may occur, so as to take preventive measures in advance and reduce risks, and can solve the problems in the prior art.

[0007] To achieve the above purpose, the present invention provides the following technical solutions: A system for monitoring the conscious response of heat stroke patients based on intelligent sensors, comprising: An intelligent sensor layout planning unit, configured to: Obtain the geographical location information of hospital wards and the treatment areas for heatstroke patients, and reasonably layout intelligent sensor monitoring points in the target area according to the effective monitoring range of the intelligent sensors and the range of the regular conscious activity areas of heatstroke patients; A conscious response data acquisition unit, configured to: Obtain feedback data from the intelligent sensors at each monitoring point, and capture the target items of the conscious responses of heatstroke patients , the target items of the conscious responses of heatstroke patients After the capture is completed, obtain the patient consciousness data of each patient ; A conscious response database construction unit, configured to: Obtain the physiological data, clinical symptoms, treatment processes and result information data related to the historical conscious responses of the monitored patients from the database, analyze the conscious response patterns of the monitored patients at different disease stages, and construct a conscious response database for the monitored patients ; An abnormal data marking unit, configured to: Compare the patient consciousness data with the conscious response database , and mark the non-conventional data in the patient consciousness data , and label the non-conventional data as patient disease data ; A risk prediction and simulation unit, configured to: Use the consciousness deterioration model to simulate the trend of the change of the conscious response state of the patient disease data over time. After the simulation is completed, generate a simulation diagram of the change of the conscious state; An emergency response scheduling unit, configured to: Configure the emergency response points in the hospital according to the patient disease data and the simulation diagram of the change of the conscious state. At the same time, match the response start time and response frequency of the emergency response points at different locations to finally obtain a treatment response plan ; ; A data evaluation and optimization unit, configured to: Treat each monitored patient according to the treatment response plan , and evaluate and optimize the improvement effect of the conscious response of the monitored patients according to the treatment results Preferably, the intelligent sensor layout planning unit is further configured to: The intelligent sensors include a temperature sensor, a heart rate sensor, a blood oxygen saturation sensor, an electromyogram sensor, a respiratory rate sensor, an electroencephalogram sensor, a sound sensor, an acceleration sensor, and an eye movement tracking sensor; obtaining the actual monitoring range data of the intelligent sensors under different environmental conditions, and comprehensively obtaining the effective monitoring range of the intelligent sensors ; Using spatial monitoring technology to obtain the spatial range information of the hospital ward and the treatment area for heatstroke patients, and at the same time, confirming the monitoring span range formed between the two; Combining the activity range data of heatstroke patients at different treatment stages in the consciousness reaction database to obtain the range of the regular consciousness activity area of heatstroke patients ; According to the effective monitoring range of the intelligent sensors and the range of the regular consciousness activity area of heatstroke patients, select key positions within the monitoring span range to deploy intelligent sensor monitoring points.

[0008] Preferably, the consciousness reaction data acquisition unit is further used for: The consciousness reaction target items of heatstroke patients Include electroencephalogram signal characteristic values, eye movement tracking data, muscle electrical activity intensity, reaction time to sound stimuli, body movement amplitude and frequency, and basic health data; the basic health data includes temperature, heart rate, blood oxygen saturation, and respiratory rate data.

[0009] Preferably, the consciousness reaction data acquisition unit is further used for: The electroencephalogram signal characteristic values are obtained by a head-mounted electroencephalogram monitoring device to collect the electrical activity signals of the patient's cerebral cortex, and through filtering, amplification, and feature extraction algorithms, the characteristic values reflecting the cerebral consciousness state are obtained; The eye movement tracking data uses a non-invasive eye movement tracking camera to real-time monitor the eye movement trajectory, fixation point change, and saccade frequency data of heatstroke patients, and is used to analyze the patient's attention and consciousness focus; The muscle electrical activity intensity pastes electrode patches on the surfaces of the main muscle groups of heatstroke patients to collect the electrical signals generated during muscle contraction, and through signal processing, the muscle electrical activity intensity data is obtained, which is used to evaluate the patient's muscle movement control ability and body reaction driven by consciousness; The reaction time to sound stimuli plays a sound stimulus with a specific frequency and intensity through a speaker, and uses a sound sensor and a time recording device to measure the time interval from the sound playback to the patient showing a detectable reaction, where the detectable reaction includes blinking and body micro-movement; The body movement amplitude and frequency wear an acceleration sensor at the key parts of the heatstroke patient's body to real-time collect the acceleration data of body movement, and through integration and data analysis algorithms, calculate the body movement amplitude and frequency; The basic health data uses a temperature sensor, a heart rate sensor, a blood oxygen saturation sensor, and a respiratory rate sensor to collect and monitor the temperature, heart rate, blood oxygen saturation, and respiratory rate data of patients respectively.

[0010] Preferably, the consciousness reaction database construction unit is further configured to: Collect physiological data related to the consciousness reaction, clinical symptoms, treatment processes, and outcome information data of heatstroke patients in different regions, different seasons, and different age groups from the database; The physiological data related to the consciousness reaction includes electroencephalogram, electrocardiogram, electromyogram, eye movement, and basic data; the clinical symptoms include the degree of coma and restlessness manifestations; the treatment processes include the drugs, physical treatment methods, and time nodes used; the outcome information includes the consciousness recovery situation and complications; Analyze the consciousness reaction patterns of heatstroke patients at different stages of the initial stage, disease progression stage, and recovery stage, and determine the correlation between the consciousness reaction and physiological indicators and treatment methods at different stages; Combine the medical resource allocation and common treatment methods of the hospital, where the medical resource allocation includes the distribution of rescue equipment, the number of medical staff, and their skill specialties, and the common treatment methods include the types, dosages of drugs, and physical treatment methods; Integrate and structurally process the historical consciousness reaction-related data of the monitored patients and the consciousness reaction patterns of the monitored patients at different disease stages to construct a consciousness reaction database for heatstroke patients .

[0011] Preferably, the abnormal data marking unit is further configured to: Define the normal fluctuation range of the electroencephalogram signal eigenvalue and the conventional interval of the muscle electrical activity intensity as the conventional target item range value; Define the eye movement tracking data, the reaction time to sound stimuli, and the amplitude and frequency of body movements as the variable target items; Compare the patient's consciousness data with the historical data and clinical experience thresholds in the consciousness reaction database ; Judge whether there is abnormal data in the patient's consciousness data according to the comparison result; wherein the abnormal data is the data that exceeds the normal range when performing data comparison for the patient's consciousness data ; And mark the abnormal data as the patient's disease data .

[0012] Preferably, the risk prediction and simulation unit is further configured to: Use the neural network algorithm to process the patient's disease data and the consciousness reaction database Train with data related to historical awareness response; Input the trained data into the awareness deterioration model, and the awareness deterioration model predicts the change trend of the monitored patient's awareness state in the future period according to the input data; The awareness deterioration model generates prediction values for the predicted change trend and performs visualization format conversion according to the generated prediction values; After the visualization format conversion is completed, a simulation diagram of the change in the awareness state of the monitored patient is obtained.

[0013] Preferably, the emergency response scheduling unit is further configured to: Determine the emergency response points in the hospital according to the hospital's building layout, medical resource distribution, and the centralized treatment area of heatstroke patients; Combined with the simulation diagram of the change in the awareness state, predict the time node of the monitored patient's awareness deterioration and the area where an emergency occurs; Determine the response start time of different emergency response points according to the distance between the location of the heat-monitored patient and the emergency response point, traffic conditions, and the preparation time of response resources; Reasonably configure the response frequencies of different emergency response points according to the risk probability of the monitored patient's awareness deterioration and the effects of different emergency response measures; After the reasonable configuration is completed, a treatment response plan for the monitored patient is obtained .

[0014] Preferably, the data evaluation and optimization unit is further configured to: Transmit the treatment response plan To the corresponding medical staff team, and the medical staff team treats the heatstroke patient according to the treatment response plan For heatstroke treatment; Among them, heatstroke treatment includes an emergency treatment stage, a continuous treatment stage, and a personalized adjustment stage; The emergency treatment stage is when the response start time of reaching the emergency response point, and the medical staff treats the heatstroke patient with a high risk of awareness state deterioration according to the treatment response plan For emergency treatment; The continuous treatment stage is to continuously treat the patient according to the response frequency of the treatment response plan after the emergency treatment; The personalized adjustment stage is to consider that there are differences in the condition and physical condition of each heatstroke patient. During the treatment process, the medical staff makes personalized adjustments to the treatment plan according to the patient's real-time reaction and specific situation.

[0015] Preferably, the data evaluation and optimization unit is further configured to: During the treatment of heat stroke, various data of the treated patients are collected, including consciousness response data, physiological index data, and clinical symptom data; Compare the consciousness response data of the patients after treatment with the data before treatment, and analyze the changes in the consciousness response target items; Refer to the recovery of patients with similar conditions and treatment stages in the consciousness response database, as well as relevant clinical treatment standards, and evaluate whether the improvement effect of the current patient's consciousness response meets the expectations; Evaluate the overall treatment effect of the patient based on the changes in the patient's physiological indicators, clinical symptoms, and consciousness response data; The evaluation results are divided into first-level treatment, second-level treatment, and third-level treatment; Perform corresponding treatment optimizations according to different levels of evaluation results.

[0016] Compared with the prior art, the beneficial effects of the present invention are as follows: 1. The system for monitoring the consciousness response of heat stroke patients based on intelligent sensors provided by the present invention can objectively and quantitatively evaluate the consciousness response state of patients through intelligent sensors and data acquisition devices, avoiding errors and uncertainties caused by subjective judgments, covering multiple consciousness response target items, and comprehensive monitoring can more accurately reflect the patient's consciousness state and physiological condition.

[0017] 2. The system for monitoring the consciousness response of heat stroke patients based on intelligent sensors provided by the present invention, the combined use of neural network algorithms and intelligent sensors can reduce the influence of human factors on the monitoring and prediction results. By real-time monitoring and analyzing the patient's consciousness data, doctors can timely detect abnormal changes in the patient's consciousness state, thereby making timely diagnoses and treatments. Integrate and structure the collected data to build a consciousness response database for heat stroke patients, which is convenient for subsequent data mining and analysis, provides a scientific basis for clinical decision-making, combines the hospital's medical resource allocation, and helps to optimize resource allocation and improve the treatment efficiency.

[0018] 3. The system for monitoring the consciousness response of heat stroke patients based on intelligent sensors provided by the present invention fully considers the differences in the conditions and physical conditions of each heat stroke patient during the personalized adjustment stage, allowing medical staff to make personalized adjustments to the treatment plan according to the patient's real-time response and specific situation. The personalized treatment strategy helps to improve the pertinence and effectiveness of the treatment. By reasonably configuring the response frequency of emergency response points, it can ensure that limited medical resources can be fully utilized in case of emergencies. Combining with the simulation diagram of the change in consciousness state, it can predict the areas where emergencies may occur, so as to take preventive measures in advance and reduce risks. Description of the Drawings

[0019] Figure 1Schematic diagram of the consciousness response monitoring unit for heat stroke patients of the present invention; Figure 2 Schematic diagram of the consciousness response monitoring process for heat stroke patients of the present invention. Detailed implementation manners

[0020] Next, the technical solutions in the embodiments of the present invention will be clearly and completely described in conjunction with the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only a part of the embodiments of the present invention, rather than all the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those of ordinary skill in the art without creative efforts shall fall within the protection scope of the present invention.

[0021] To solve the problem in the prior art that there is no comprehensive monitoring of heat stroke patients using more perfect and accurate monitoring equipment, resulting in inaccurate monitoring data of heat stroke patients, please refer to Figure 1 and Figure 2 , the following technical solutions are provided in this embodiment: A system for monitoring the consciousness response of heat stroke patients based on intelligent sensors, comprising: An intelligent sensor layout planning unit, used for: Obtaining the geographical location information of the hospital ward and the treatment area of heat stroke patients, and reasonably arranging intelligent sensor monitoring points in the target area according to the effective monitoring range of the intelligent sensors and the range of the regular conscious activity area of heat stroke patients; A consciousness response data acquisition unit, used for: Obtaining feedback data from the intelligent sensors at each monitoring point, and capturing the target items of the consciousness response of heat stroke patients , the target items of the consciousness response of heat stroke patients After the capture is completed, the patient consciousness data of each patient is obtained ; A consciousness response database construction unit, used for: Obtaining physiological data, clinical symptoms, treatment processes and result information data related to the historical consciousness response of the monitored patients from the database, analyzing the consciousness response patterns of the monitored patients at different disease stages, and constructing a consciousness response database for the monitored patients ; An abnormal data marking unit, used for: Comparing the patient consciousness data with the consciousness response database , marking the unconventional data in the patient consciousness data , and labeling the unconventional data as patient disease data ; A risk prediction and simulation unit, used for: Using the consciousness deterioration model to process the patient disease data Simulate the trend of the conscious response state over time, and generate a simulation diagram of the change in the conscious state after the simulation is completed; An emergency response scheduling unit, which is used for: Based on the patient's disease data And the simulation diagram of the change in the conscious state, configure the emergency response points in the hospital. At the same time, match the response start time and response frequency of the emergency response points at different locations, and finally obtain a treatment response plan ; ; ; A data evaluation and optimization unit, which is used for: Treat each monitored patient according to the treatment response plan, and evaluate and optimize the improvement effect of the conscious response of the monitored patient according to the treatment results. ;

[0022] Specifically, through the intelligent sensor layout planning unit, intelligent sensors can monitor the patient's physiological data in real time. Once an abnormality is detected, an alarm can be triggered immediately to remind the doctor to take emergency measures. Through the conscious response data acquisition unit, intelligent sensors can monitor various data in real time, quickly capture the patient's physiological changes, provide timely condition information for the doctor, and help make rapid and accurate diagnosis and treatment decisions. Through the conscious response database construction unit, real-time monitoring data enables medical staff to dynamically adjust the treatment plan to ensure the maximization of the treatment effect. Through the abnormal data marking unit, comparing the patient's conscious data with the historical data and clinical experience thresholds in the conscious response database can efficiently detect the abnormal data in the patient's conscious data. Through the risk prediction and simulation unit, generating a simulation diagram of the change in the conscious state of the monitored patient can enable medical staff to more intuitively understand the trend of the patient's conscious state change. Through the emergency response scheduling unit, combined with the simulation diagram of the change in the conscious state, it is possible to predict the areas where emergencies may occur, so as to take preventive measures in advance and reduce risks. Through the data evaluation and optimization unit, emphasizing the collection and analysis of various data of the treated patients helps to optimize the treatment plan and improve the treatment effect.

[0023] The intelligent sensor layout planning unit is also used for: Intelligent sensors include temperature sensors, heart rate sensors, blood oxygen saturation sensors, electromyogram sensors, respiratory rate sensors, electroencephalogram sensors, sound sensors, acceleration sensors, and eye movement tracking sensors; obtain the actual monitoring range data of intelligent sensors under different environmental conditions, and comprehensively obtain the effective monitoring range of intelligent sensors ; Use space monitoring technology to obtain the spatial range information of the hospital ward and the treatment area for heatstroke patients. At the same time, confirm the monitoring span range formed between the two; Combined with the activity range data of heat stroke patients at different treatment stages in the conscious response database, obtain the range of the conventional conscious activity area of heat stroke patients ; According to the effective monitoring range of the intelligent sensor and the range of the conventional conscious activity area of heat stroke patients, select key positions within the monitoring span to deploy intelligent sensor monitoring points.

[0024] Specifically, intelligent sensors, such as temperature sensors, heart rate sensors, blood oxygen saturation sensors, etc., have the characteristics of high precision. They can monitor various physiological indicators of heat stroke patients in real time and accurately, providing precise data support for doctors. Intelligent sensors can automatically compensate for the drift of system characteristics caused by changes in working conditions and environmental parameters, ensuring the stability and reliability of monitoring data. This is crucial for monitoring the conscious response of heat stroke patients because any minor physiological change may indicate the deterioration of the condition. By deploying a variety of intelligent sensors in hospital wards and heat stroke patient treatment areas, comprehensive monitoring of the patient's conscious response and related physiological indicators can be achieved. This helps doctors timely understand the overall condition of the patient, make accurate diagnoses and treatment decisions. Intelligent sensors can monitor the patient's physiological data in real time. Once an abnormality is detected, an alarm can be immediately triggered to remind doctors to take emergency measures. This is crucial for the treatment of heat stroke patients because timely intervention can significantly improve the patient's survival rate. Through the real-time monitoring and data analysis of intelligent sensors, doctors can more quickly identify signs of deteriorating conditions and thus take prompt action. This can not only improve the treatment efficiency but also reduce the waste of medical resources.

[0025] The conscious response data acquisition unit is also used for: The target items of the conscious response of heat stroke patients Include electroencephalogram signal characteristic values, eye movement tracking data, muscle electrical activity intensity, reaction time to sound stimuli, body movement amplitude and frequency, and basic health data; the basic health data includes temperature, heart rate, blood oxygen saturation, and respiratory rate data.

[0026] The electroencephalogram signal characteristic values are obtained by a head-mounted electroencephalogram monitoring device to collect and monitor the electrical activity signals of the patient's cerebral cortex. Through filtering, amplification, and feature extraction algorithms, the characteristic values reflecting the conscious state of the brain are obtained; The eye movement tracking data uses a non-invasive eye movement tracking camera to real-time monitor the movement trajectory, fixation point changes, and saccade frequency data of the eyes of heat stroke patients, and is used to analyze the patient's attention and conscious focus; The muscle electrical activity intensity pastes electrode patches on the surfaces of the main muscle groups of heat stroke patients to collect the electrical signals generated during muscle contraction. Through signal processing, the muscle electrical activity intensity data is obtained, which is used to evaluate the patient's muscle movement control ability and the body's response driven by consciousness; The reaction time to sound stimuli: A sound stimulus of a specific frequency and intensity is played through a speaker. Using a sound sensor and a time recording device, the time interval from the sound playback to the patient's detectable reaction is measured. The detectable reactions include blinking and slight body movements; Amplitude and frequency of body movements: An acceleration sensor is worn on key parts of the heatstroke patient's body to collect acceleration data of body movements in real time. Through integration and data analysis algorithms, the amplitude and frequency of body movements are calculated; Basic health data: Using a temperature sensor, a heart rate sensor, a blood oxygen saturation sensor, and a respiratory rate sensor, the temperature, heart rate, blood oxygen saturation, and respiratory rate data of the patient are collected and monitored respectively.

[0027] Specifically, it covers multiple consciousness reaction target items, including electroencephalogram signal characteristic values, eye movement tracking data, muscle electrical activity intensity, reaction time to sound stimuli, amplitude and frequency of body movements, and basic health data. This comprehensive monitoring can more accurately reflect the patient's consciousness state and physiological condition. Most monitoring methods (such as head-mounted electroencephalogram monitoring devices, non-invasive eye movement tracking cameras, electrode patch pasting, acceleration sensor wearing, etc.) are non-invasive and will not cause additional physical harm to the patient. At the same time, the design of these devices also takes into account the comfort of the patient, reducing the discomfort during the monitoring process. The monitoring device can monitor the patient's data in real time and provide immediate physiological and consciousness state information. This real-time nature helps medical staff detect problems in a timely manner and make corresponding treatments, improving the timeliness and effectiveness of treatment. By using advanced sensors and signal processing algorithms, the patient's data can be collected and analyzed with high precision. This high precision and reliability ensure the accuracy of the monitoring results and provide strong support for the decision-making of medical staff. Multiple data sources can be integrated together to form a comprehensive patient monitoring database. Through the analysis of these data, medical staff can gain a deeper understanding of the changes in the patient's physiological and consciousness states and provide data support for the optimization of treatment plans.

[0028] To solve the problem in the existing technology that there is no effective data collation and analysis of heatstroke patients based on monitoring data, resulting in inaccurate analysis data of heatstroke patients, please refer to Figure 1 and Figure 2 , this embodiment provides the following technical solutions: The consciousness reaction database construction unit is also used for: Collecting physiological data related to the consciousness reaction, clinical symptoms, treatment process, and outcome information data of heatstroke patients from different regions, different seasons, and different age groups from the database; Physiological data related to conscious response include electroencephalogram (EEG), electrocardiogram (ECG), electromyogram (EMG), eye movement, and basic data; clinical symptoms include coma level and restlessness manifestation; the treatment process includes the drugs used, physical treatment methods, and time nodes; the outcome information includes the consciousness recovery situation and complications; Analyze the conscious response patterns of heatstroke patients at different stages of the initial onset, disease progression, and recovery periods, and determine the correlation between conscious response and physiological indicators and treatment methods at different stages; Combine the hospital's medical resource allocation and common treatment methods. Among them, medical resource allocation includes the distribution of rescue equipment, the number of medical staff, and their skill specialties, and common treatment methods include drug types, dosages, and physical treatment methods; Integrate and structurally process the historical conscious response-related data of the monitored patients and the conscious response patterns of the monitored patients at different disease stages to construct a conscious response database for heatstroke patients 。

[0029] Specifically, it covers basic physiological data such as EEG, ECG, EMG, and eye movement, as well as clinical symptom data such as coma level and restlessness manifestation, ensuring the comprehensiveness and diversity of the data. The intelligent sensor has the ability of high precision and real-time monitoring, and can accurately capture the conscious response and physiological changes of heatstroke patients at different stages, providing a reliable basis for subsequent analysis. By analyzing the conscious response patterns of heatstroke patients at different stages of the initial onset, disease progression, and recovery periods, the correlation between conscious response and physiological indicators and treatment methods can be deeply understood. Integrate and structurally process the collected data to construct a conscious response database for heatstroke patients, which is convenient for subsequent data mining and analysis, and provides a scientific basis for clinical decision-making. Combining the hospital's medical resource allocation, including the distribution of rescue equipment, the number of medical staff, and their skill specialties, helps to optimize resource allocation and improve the treatment efficiency. According to the real-time monitoring data, medical staff can dynamically adjust the treatment plan to ensure the maximization of the treatment effect. With the continuous progress of medical technology and the continuous development of intelligent sensors, this system can be continuously expanded and upgraded to adapt to new monitoring needs and treatment methods. The constructed conscious response database for heatstroke patients can be continuously accumulated and optimized, providing richer and more accurate data support for future research and clinical decision-making.

[0030] The abnormal data marking unit is also used for: Define the normal fluctuation range of EEG signal eigenvalues and the conventional interval of muscle electrical activity intensity as the conventional target item range value; Define eye movement tracking data, reaction time to sound stimuli, and body movement amplitude and frequency as variable target items; Compare the patient's conscious data with the historical data and clinical experience thresholds in the conscious response database; Judge whether there is any abnormal data in the patient's consciousness data according to the comparison result ; Among them, the abnormal data refers to the data of the patient's consciousness data beyond the normal range when performing data comparison; And mark the abnormal data as the patient's disease data .

[0031] Specifically, the intelligent sensor has the characteristics of high precision and can collect physiological data such as the characteristic values of the patient's electroencephalogram signals and the intensity of muscle electrical activity in real time and accurately. Through mechanisms such as automatic zero calibration, calibration, and compensation, the intelligent sensor can eliminate systematic errors and accidental errors to ensure the accuracy of the data. This helps doctors obtain accurate physiological state information of patients, providing a reliable basis for subsequent data comparison and analysis, defining the normal target item range values and variable target items, and comprehensively covering the key indicators for evaluating the patient's consciousness state. The normal target items include the normal fluctuation range of the electroencephalogram signal characteristic values and the normal interval of the muscle electrical activity intensity, and these indicators can reflect the patient's nerve and muscle activity states. The variable target items include eye movement tracking data, reaction time to sound stimuli, and the amplitude and frequency of body movements, and these indicators can reflect the patient's attention and reaction abilities. By monitoring these indicators, doctors can comprehensively understand the patient's consciousness state. By comparing the patient's consciousness data with the historical data and clinical experience thresholds in the consciousness response database, abnormal data in the patient's consciousness data can be efficiently detected. This data comparison method is not only fast and accurate but also can automatically mark the abnormal data, providing an intuitive judgment basis for doctors. In addition, the intelligent sensor system can also monitor the system status in real time, automatically perform emergency handling of abnormal situations, improve the stability and reliability of the system. By real-time monitoring and analyzing the patient's consciousness data, doctors can timely detect abnormal changes in the patient's consciousness state, so as to carry out timely diagnosis and treatment. For patients with heat stroke, timely diagnosis and treatment are crucial because heat stroke is a severe type of heat illness that may lead to the patient's loss of consciousness, multiple organ failure, and even death. Therefore, the application of this solution helps reduce the mortality rate of patients with heat stroke and improve the treatment effect.

[0032] The risk prediction and simulation unit is also used for: Use the neural network algorithm to train the patient's disease data and the historical consciousness response-related data in the consciousness response database ; Input the trained data into the consciousness deterioration model, and the consciousness deterioration model predicts the change trend of the patient's consciousness state in the future period according to the input data; The consciousness deterioration model generates prediction values for the predicted change trend and performs visualization format conversion based on the generated prediction values; After the visualization format conversion is completed, a simulation diagram of the change in the consciousness state of the monitored patient is obtained.

[0033] Specifically, the neural network algorithm has powerful learning and fitting capabilities. By training the historical data in the patient's disease data and consciousness response database, it can capture the complex relationship between the disease and the consciousness response. This enables the consciousness deterioration model to more accurately predict the change trend of the consciousness state of the monitored patient in the future. By using intelligent sensors to continuously monitor the physiological indicators (such as body temperature, heart rate, etc.) of heatstroke patients and inputting this data into the consciousness deterioration model, continuous and dynamic monitoring of the patient's consciousness state can be achieved. This helps to promptly detect signs of consciousness deterioration and take corresponding intervention measures. Converting the predicted change trend into a visualization format and generating a simulation diagram of the change in the consciousness state of the monitored patient can enable medical staff to more intuitively understand the change trend of the patient's consciousness state. This visualization presentation method helps medical staff make decisions quickly, improve the treatment efficiency. The combined use of the neural network algorithm and intelligent sensors can reduce the influence of human factors on the monitoring and prediction results. Traditional consciousness assessment methods often rely on the experience and judgment of medical staff and are easily affected by subjective factors. However, this solution improves the objectivity and accuracy of the results through the automated monitoring and prediction of algorithms and sensors. The neural network algorithm can be trained and adjusted according to different disease data and consciousness response data to adapt to the monitoring and prediction needs in different patients and different disease situations. This makes the system highly flexible and adaptable.

[0034] To solve the problem in the prior art that there is no effective treatment plan formulation and treatment situation monitoring for heatstroke patients based on monitoring data, resulting in the inability to accurately obtain the treatment effect, please refer to Figure 1 and Figure 2 , this embodiment provides the following technical solutions: The emergency response scheduling unit is also used for: Determining the emergency response points in the hospital according to the hospital's building layout, medical resource distribution, and the centralized treatment area of heatstroke patients; Combining the simulation diagram of the change in the consciousness state to predict the time node of the monitored patient's consciousness deterioration and the area where an emergency occurs; Determining the response start time of different location emergency response points according to the distance between the location of the heat-monitored patient and the emergency response point, the traffic conditions, and the preparation time of the response resources; Reasonably configuring the response frequencies of different emergency response points according to the risk probability of the monitored patient's consciousness deterioration and the effects of different emergency response measures; After the reasonable configuration is completed, a treatment response plan for monitoring patients is obtained 。

[0035] Specifically, by precisely analyzing the hospital's building layout and medical resource distribution, emergency response points can be reasonably set to ensure rapid resource allocation in case of emergencies. Combining with the simulated diagram of the change in consciousness state, the time nodes of the deterioration of the patient's consciousness can be predicted in advance, so as to timely initiate emergency response measures. According to factors such as the distance between the location of the heat-monitored patient and the emergency response point and the traffic conditions, the response start time is determined to make the response more accurate and efficient. By analyzing the risk probability of the deterioration of the patient's consciousness, the response frequencies of different emergency response points are reasonably configured to achieve a personalized treatment response plan, taking into account the distribution of medical resources and the preparation time of response resources, which helps to optimize resource allocation and avoid resource waste. By reasonably configuring the response frequencies of emergency response points, it can be ensured that limited medical resources can be fully utilized in case of emergencies. Combining with the simulated diagram of the change in consciousness state, the areas where emergencies may occur can be predicted, so as to take preventive measures in advance and reduce risks. By continuously monitoring and analyzing patient data, potential risks can be detected in a timely manner to provide early warnings for emergency response. Through intelligent means, data can be automatically analyzed, risks can be predicted, and corresponding emergency response mechanisms can be triggered to improve the response efficiency and accuracy.

[0036] The data evaluation and optimization unit is also used for: Transmitting the treatment response plan To the corresponding medical staff team, and the medical staff team treats the heatstroke patients under monitoring according to the treatment response plan For heatstroke treatment; Among them, heatstroke treatment includes an emergency treatment stage, a continuous treatment stage, and a personalized adjustment stage; The emergency treatment stage is when the response start time to reach the emergency response point, and the medical staff treats the heatstroke patients with a high risk of deterioration of consciousness state according to the treatment response plan For emergency treatment; The continuous treatment stage is to continuously treat the patient according to the response frequency of the treatment response plan after the emergency treatment; The personalized adjustment stage is to consider that there are differences in the condition and physical condition of each heatstroke patient. During the treatment process, the medical staff make personalized adjustments to the treatment plan according to the patient's real-time reaction and specific situation.

[0037] During the heatstroke treatment process, various data of the treated patients are collected, and the various data include consciousness reaction data, physiological index data, and clinical symptom data; Comparing the consciousness reaction data of the patient after treatment with the data before treatment, and analyzing the change situation of the consciousness reaction target items; Refer to the recovery situations of patients with similar conditions and treatment stages in the awareness response database, as well as relevant clinical treatment standards, to evaluate whether the improvement effect of the current patient's awareness response meets the expectations; Evaluate the overall treatment effect of the patient based on the changes in the patient's physiological indicators, clinical symptoms, and awareness response data; The evaluation results are divided into primary treatment, secondary treatment, and tertiary treatment; Conduct corresponding treatment optimizations according to the evaluation results of different levels.

[0038] Specifically, the treatment of heatstroke is divided into an emergency treatment stage, a continuous treatment stage, and a personalized adjustment stage, ensuring the systematicness and standardization of the treatment. Each stage has clear goals and operation guidelines, which helps medical staff execute the treatment plan in an orderly manner. In the emergency treatment stage, the plan emphasizes the rapid response and efficient treatment of heatstroke patients with a high risk of deterioration of the consciousness state. This helps reduce the patient's pain and the occurrence of complications and improve the success rate of rescue. The personalized adjustment stage fully considers the differences in the conditions and physical conditions of each heatstroke patient, allowing medical staff to make personalized adjustments to the treatment plan according to the patient's real-time response and specific situation. This personalized treatment strategy helps improve the pertinence and effectiveness of the treatment. It emphasizes the collection and analysis of various data of the treated patients, including awareness response data, physiological indicator data, and clinical symptom data. These data provide objective and accurate decision-making bases for medical staff, helping to optimize the treatment plan and improve the treatment effect. By comparing the awareness response data before and after treatment and referring to the awareness response database and clinical treatment standards, the plan provides a method for evaluating the treatment effect of the patient. According to the evaluation results, medical staff can optimize the treatment plan to ensure that the patient obtains the best treatment effect. Medical staff continuously collect data, analyze the effect, and optimize the plan according to the evaluation results during the treatment process. This mechanism of continuous improvement helps improve the overall treatment level and provides a more effective strategy for future heatstroke treatment.

[0039] It should be noted that in this article, relational terms such as first and second are only used to distinguish one entity or operation from another entity or operation, and do not necessarily require or imply any actual relationship or order between these entities or operations. Moreover, the term "including", "comprising" or any other variant thereof is intended to cover non-exclusive inclusion, so that a process, method, article or device including a series of elements not only includes those elements, but also includes other elements not expressly listed, or also includes elements inherent to such process, method, article or device.

[0040] Although embodiments of the present invention have been shown and described, it will be understood by those of ordinary skill in the art that various changes, modifications, substitutions and variations can be made to these embodiments without departing from the principles and spirit of the present invention.

Claims

1. A system for monitoring the consciousness response of heat stroke patients based on intelligent sensors, characterized in that: include: Smart sensor layout planning unit for: Obtain the geographical location information of hospital wards and heat stroke patient treatment areas, and reasonably arrange smart sensor monitoring points in the target area based on the effective monitoring range of smart sensors and the range of regular consciousness activities of heat stroke patients; Consciousness response data acquisition unit, used for: Obtain feedback data from the smart sensors at each monitoring point to capture the target items of heat stroke patient consciousness response , heat stroke patient consciousness response target items After the capture is completed, the patient consciousness data of each patient is obtained ; Consciousness response database building unit, used for: Obtain the physiological data, clinical symptoms, treatment process and result information related to the patient's historical consciousness response from the database, analyze the consciousness response patterns of the patient at different stages of the disease, and build a database for monitoring the patient's consciousness response ; Abnormal data marking unit, used to: Patient awareness data and consciousness response database Compare and mark the patient's consciousness data The unconventional data in the data are labeled as patient disease data. ; Risk prediction and simulation unit, used to: Using the consciousness deterioration model to transform patient disease data Simulate the change trend of consciousness reaction state over time, and generate a simulation diagram of consciousness state change after the simulation is completed; Emergency response dispatch unit, used to: According to the patient's disease data and simulation diagrams of changes in consciousness, emergency response points in hospitals Configure and match emergency response points at different locations The response start time and response frequency are finally obtained. ; Data evaluation and optimization unit for: According to the treatment response plan Treatment is provided to each monitored patient, and the improvement effect of the monitored patient's consciousness response is evaluated and optimized based on the treatment results.

2. The system for monitoring heat stroke patient consciousness response based on intelligent sensors according to claim 1 is characterized in that: The intelligent sensor layout planning unit is further used for: Smart sensors include temperature sensors, heart rate sensors, blood oxygen saturation sensors, electromyography sensors, respiratory rate sensors, electroencephalography sensors, sound sensors, acceleration sensors, and eye tracking sensors; obtain the actual monitoring range data of smart sensors under different environmental conditions, and comprehensively derive the effective monitoring range of smart sensors ; Use spatial monitoring technology to obtain spatial range information of hospital wards and heat stroke patient treatment areas, and at the same time, confirm the monitoring span formed between the two; Combined with the activity range data of heat stroke patients at different treatment stages in the consciousness response database, the routine consciousness activity area range of heat stroke patients is obtained ; According to the effective monitoring range of the smart sensor and the range of the regular conscious activity area of ​​heat stroke patients, key locations are selected within the monitoring span to deploy smart sensor monitoring points.

3. The system for monitoring heat stroke patient consciousness response based on intelligent sensors according to claim 2 is characterized in that: The consciousness response data acquisition unit is also used for: Heat stroke patient consciousness response target items It includes EEG signal characteristic values, eye tracking data, muscle electrical activity intensity, reaction time to sound stimulation, body movement amplitude and frequency, and basic health data; basic health data includes temperature, heart rate, blood oxygen saturation and respiratory rate data.

4. The system for monitoring the consciousness response of heat stroke patients based on intelligent sensors according to claim 3 is characterized in that: The consciousness response data acquisition unit is also used for: The EEG signal characteristic value is collected through a head-mounted EEG monitoring device to monitor the patient's cerebral cortex electrical activity signal. After filtering, amplification and feature extraction algorithm, the characteristic value reflecting the brain's state of consciousness is obtained; Eye tracking data uses a non-invasive eye tracking camera to monitor the eye movement trajectory, gaze point changes and eye saccade frequency data of heat stroke patients in real time, which is used to analyze the patient's attention and consciousness focus; Muscle electrical activity intensity: Electrodes are attached to the surface of the main muscle groups of heat stroke patients to collect electrical signals generated by muscle contraction. After signal processing, muscle electrical activity intensity data is obtained to evaluate the patient's muscle movement control ability and consciousness-driven body reactions. Reaction time to sound stimulation: Sound stimulation of specific frequency and intensity is played through a speaker, and the time interval from the sound playing to the patient's measurable reaction is measured using a sound sensor and a time recording device, where the measurable reaction includes blinking and micro-movement of the body; Body movement amplitude and frequency Acceleration sensors are worn on key parts of the body of heat stroke patients to collect acceleration data of body movement in real time. The body movement amplitude and frequency are calculated through integration and data analysis algorithms. Basic health data uses temperature sensors, heart rate sensors, blood oxygen saturation sensors and respiratory rate sensors to collect and monitor the patient's temperature, heart rate, blood oxygen saturation and respiratory rate data respectively.

5. The system for monitoring the consciousness response of heat stroke patients based on intelligent sensors according to claim 4 is characterized in that: The consciousness response database construction unit is also used for: Collect the physiological data related to consciousness response, clinical symptoms, treatment process and results of heat stroke patients in different regions, seasons and age groups from the database; Physiological data related to consciousness response include EEG, ECG, EMG, eye movement and basic data; clinical symptoms include coma degree and agitation; treatment process includes drugs, physical therapy methods and time points; result information includes consciousness recovery and complications; Analyze the consciousness response patterns of heat stroke patients at different stages of the disease, progression and recovery, and determine the correlation between consciousness response at different stages and physiological indicators and treatment methods; Combined with the hospital's medical resource allocation and commonly used treatment methods, among which medical resource allocation includes the distribution of rescue equipment, the number of medical staff and their skills and expertise, and commonly used treatment methods include drug types, dosages and physical therapy methods; The historical consciousness response data of the monitored patients and the consciousness response patterns of the monitored patients at different stages of the disease are integrated and structured to build a consciousness response database for heat stroke patients. .

6. The system for monitoring heat stroke patient consciousness response based on intelligent sensors according to claim 5 is characterized in that: The abnormal data marking unit is further used for: The normal fluctuation range of EEG signal characteristic values ​​and the regular interval of muscle electrical activity intensity are defined as the regular target item range value; Eye tracking data, reaction time to sound stimulation, and body movement amplitude and frequency were defined as change target items; Patient awareness data and consciousness response database Compare historical data with clinical experience thresholds; Determine patient consciousness data based on comparison results Whether there is any unusual data in the Among them, non-routine data refers to patient awareness data during data comparison. Data outside the normal range; And mark the non-routine data as patient disease data .

7. The system for monitoring heat stroke patient consciousness response based on intelligent sensors according to claim 6 is characterized in that: The risk prediction and simulation unit is also used for: Using neural network algorithms to transform patient disease data and consciousness response database Training with data related to historical consciousness reactions; The trained data is input into the consciousness deterioration model, and the consciousness deterioration model predicts and monitors the changing trend of the patient's consciousness state in the future based on the input data; The consciousness deterioration model generates predicted values ​​for the predicted change trend and performs visualization format conversion based on the generated predicted values; The visualization format conversion is completed to obtain a simulation diagram of changes in the consciousness state of the monitored patient.

8. The system for monitoring heat stroke patient consciousness response based on intelligent sensors according to claim 7 is characterized in that: The emergency response dispatch unit is further used to: Determine the emergency response point within the hospital based on the hospital's building layout, distribution of medical resources, and concentrated treatment areas for heat stroke patients; Combined with the simulation diagram of consciousness state changes, the time point when the patient's consciousness deteriorates and the area where emergency situations occur are predicted and monitored; Determine the response start time of emergency response points at different locations based on the distance between the location of the thermal monitoring patient and the emergency response point, traffic conditions, and the preparation time of response resources; According to the risk probability of deterioration of patient consciousness and the effectiveness of different emergency response measures, the response frequency of different emergency response points is reasonably configured; After reasonable configuration is completed, the treatment response plan for the monitored patient can be obtained .

9. The system for monitoring heat stroke patient consciousness response based on intelligent sensors according to claim 8 is characterized in that: The data evaluation and optimization unit is further used for: Treatment Response Program The patient is then transmitted to the corresponding medical team, who will respond according to the treatment plan. Treating patients for heat stroke; Among them, heat stroke treatment includes emergency treatment stage, continuous treatment stage and personalized adjustment stage; The emergency treatment phase is the time when the response starts at the emergency response point. Medical staff follow the treatment response plan. Provide emergency treatment for heat stroke patients who are at high risk of deterioration in consciousness; The continuous treatment phase is to continue to treat the patient according to the response frequency of the treatment response plan after emergency treatment; The personalized adjustment stage takes into account the differences in the condition and physical condition of each heat stroke patient. During the treatment process, medical staff will make personalized adjustments to the treatment plan based on the patient's real-time response and specific situation.

10. The system for monitoring heat stroke patient consciousness response based on intelligent sensors according to claim 9 is characterized in that: The data evaluation and optimization unit is further used for: During the treatment of heat stroke, various data of the patients are collected, including consciousness response data, physiological index data and clinical symptom data; Compare the patient's consciousness response data after treatment with the data before treatment, and analyze the changes in consciousness response target items; Refer to the recovery status of patients with similar conditions and treatment stages in the consciousness response database, as well as relevant clinical treatment standards, to evaluate whether the current patient's consciousness response improvement effect has met expectations; Evaluate the overall treatment effect of the patient based on changes in the patient's physiological indicators, clinical symptoms, and consciousness response data; The evaluation results were divided into primary treatment, secondary treatment, and tertiary treatment; Corresponding treatment optimization is carried out according to the different levels of evaluation results.

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