Omnibearing patient monitoring and emergency treatment system for emergency department

Abstract

The invention discloses an all-directional monitoring and emergency treatment system for patients in the emergency department, which belongs to the technical field of diagnosis and monitoring of emergency surgery and comprises a data input and acquisition module, a data processing module, a data processing module, a data processing module, a data processing module and a data processing module, wherein the data input and acquisition module is used for acquiring emergency treatment features including external stimulation inducements and ages of a current patient before emergency treatment; the monitoring and evaluation module is used for acquiring an epilepsy risk evaluation value, a comprehensive evaluation value and a feedback adjustment value, and collecting all-dimensional monitoring characteristics of a current patient, including amygdalia activeness, a brain activity reference level, abnormal discharge intensity, heart rate, respiratory rate, systolic pressure value and diastolic pressure value, and the monitoring and evaluation module is used for acquiring and outputting the epilepsy risk evaluation value, the comprehensive evaluation value and the feedback adjustment value; the early warning module is responsible for carrying out early warning and inputting an adjusted first-aid strategy to the first-aid execution module when the epilepsy risk assessment value, the comprehensive assessment value and the feedback adjustment value are in a continuous monitoring rising trend on the visualization module, and comprehensive and real-time monitoring and accurate assessment of the illness state of a patient and timely adjustment of first-aid measures are achieved.

Description

Technical Field

[0001] The present invention relates to the technical field of diagnosis and monitoring of emergency surgery, and in particular to an all-round monitoring and first aid system for patients in the emergency department. Background Art

[0002] The emergency medicine department is a place where various critically ill patients are relatively concentrated. Due to the wide variety of diseases and the urgent rescue time, it has become the department with the heaviest management tasks and is the only way for all emergency patients to be admitted to the hospital for treatment.

[0003] Emergency department diagnosis has two significant characteristics: the first is time pressure. If the patient suffers from severe burns, sudden heart attack, cerebral hemorrhage, or brain surgical injury, if targeted rescue cannot be carried out in time, the best rescue time will be missed, resulting in death or lifelong disability of the patient. The second characteristic is the heavy diagnostic task. When there are many patients, the emergency department has limited testing resources: mainly limited equipment and limited personnel. Each patient requires different testing equipment. If the patient's cause of disease and lesion cannot be distinguished in time, misdiagnosis will occur, and the patient will miss the best rescue time.

[0004] Therefore, how to provide emergency doctors with timely, accurate and comprehensive diagnostic and treatment data is an important part of the emergency department's diagnostic and nursing work, and has also become the key to the success of saving lives.

[0005] Although the existing emergency department monitoring and first aid systems have made certain progress, for epilepsy patients, the existing systems often only focus on certain physiological parameters and lack a comprehensive assessment of the risk of brain disease. Moreover, due to the lack of risk assessment algorithms that comprehensively consider multiple factors, the existing systems will have errors when assessing the patient's condition, resulting in inaccurate first aid measures.

[0006] In addition, when the existing system monitors changes in the patient's condition, it often fails to adjust emergency measures in a timely manner, resulting in poor treatment results. In addition, the existing system lacks intuitive and easy-to-understand visualization tools, making it difficult for medical staff to quickly and accurately understand changes in the patient's condition. Summary of the Invention

[0007] The technical problem to be solved by the present invention is that the existing technology has the shortcomings of single monitoring parameters, inaccurate risk assessment, untimely feedback adjustment, and lack of visualization tools. To this end, we propose a comprehensive monitoring and emergency system for emergency patients.

[0008] The technical solution is mainly: a comprehensive monitoring and emergency system for patients in the emergency department, including a data entry and acquisition module, a monitoring and evaluation module, an early warning module, a visualization module and an emergency execution module; The data entry and acquisition module is used to collect the emergency medical treatment characteristics of the current patient before the emergency medical treatment, including external stimulation inducement and age, and collect the comprehensive monitoring characteristics of the current patient, including amygdala activity, brain activity baseline level, abnormal discharge intensity, heart rate, respiratory rate, systolic blood pressure value, and diastolic blood pressure value, and transmit the emergency medical treatment characteristics and the comprehensive monitoring characteristics to the monitoring and evaluation module; The monitoring and assessment module obtains and outputs an epilepsy risk assessment value, a comprehensive assessment value, and a feedback adjustment value based on the emergency medical treatment characteristics and the comprehensive monitoring characteristics; The visualization module is used to plot the transmitted epilepsy risk assessment value, the comprehensive assessment value, and the feedback adjustment value into an epilepsy risk trend graph, a comprehensive assessment trend graph, and a feedback trend graph; The early warning module is used to issue an early warning for the epilepsy risk trend graph, the comprehensive assessment trend graph, and the feedback trend graph that are showing an upward trend, and input the adjusted first aid strategy into the first aid execution module; The first aid execution module is used to receive and execute the first aid strategy; The monitoring and assessment module includes an epilepsy risk assessment unit, a cardiovascular and respiratory abnormality reflection unit, and an emergency feedback measure adjustment unit.

[0009] Preferably, the equipment used in the data entry and acquisition module includes a heart rate monitor, a respiratory rate monitor, a blood pressure monitor, and an electroencephalograph; The equipment used in the monitoring and assessment module includes monitoring system software; The equipment used by the early warning module includes early warning software; The equipment used by the visualization module includes visualization tools; The equipment used by the first aid execution module includes emergency rescue equipment.

[0010] Preferably, the epilepsy disease risk assessment unit obtains brain activity impact characteristics based on the amygdala activity and the brain activity baseline level; Acquiring brain abnormality characteristics according to the abnormal discharge intensity and the external stimulation index; An epilepsy risk assessment value is obtained according to the brain activity impact characteristics, the brain abnormality characteristics, and the epileptic seizure basic threshold.

[0011] Preferably, the external stimulation index is obtained according to different external stimulation inducements and the total number of epileptic seizures; Among them, the different external stimulation inducements include complex lighting and sound conditions in the external environment, abnormal crowding of people in the external environment, and large emotional fluctuations. Based on the different stimulation inducements asked of the current patient before each emergency medical visit, the personnel manually check the options and perform intelligent calculations, and increase or decrease the options of different external stimulation inducements according to the inquiries.

[0012] Preferably, the cardiovascular and respiratory abnormality reflecting unit obtains potential cardiovascular characteristics of epilepsy based on the epilepsy risk assessment value, the heart rate, and the maximum heart rate; Acquiring abnormal breathing characteristics according to the respiratory frequency and the average respiratory frequency; subtracting the diastolic pressure value from the systolic pressure value to obtain a blood pressure difference; The comprehensive evaluation value is obtained according to the potential characteristics, the abnormal breathing characteristics, and the blood pressure difference.

[0013] Preferably, the first aid feedback measure adjustment unit obtains a first adjustment feature of the cardiovascular and respiratory conditions based on the comprehensive evaluation value, the respiratory rate, and the respiratory rate change; Obtain a previous epilepsy risk assessment value from the data entry and acquisition module, and subtract the epilepsy risk assessment value from the previous epilepsy risk assessment value to obtain an epilepsy assessment change, and obtain the feedback adjustment value based on the epilepsy assessment change, the epilepsy risk assessment value, and the first adjustment feature.

[0014] Preferably, based on the results of the epilepsy risk assessment value, the comprehensive assessment value, and the feedback adjustment value, the specific analysis and adjustment of the emergency measures are as follows: If the feedback adjustment value on the line graph shows an upward trend, an emergency alarm is triggered and the drug dosage is adjusted. If the epilepsy risk assessment value on the line graph still shows an upward trend after the drug dosage is adjusted, an emergency alarm is triggered and the emergency strategy is urgently changed; If the feedback adjustment value and the epilepsy risk assessment value show a downward trend on the line graph, it means that the first aid strategy is effective and the current patient's epilepsy has been alleviated.

[0015] Preferably, the maximum heart rate and average respiratory rate are automatically matched according to the current age of the patient.

[0016] Technical effects and advantages of the present invention: In the present invention, by integrating multiple physiological parameter monitoring and epilepsy disease risk assessment units, reflecting cardiovascular and respiratory abnormalities units, and risk assessment algorithms of emergency feedback measures adjustment units, the system can achieve comprehensive, real-time monitoring and accurate assessment of the current patient's condition, thereby helping medical staff to have a more comprehensive understanding of the current changes in the patient's condition and provide strong support for the formulation of personalized treatment plans.

[0017] In the present invention, the system can adjust the first aid measures in a timely manner according to the results of the first aid feedback measure adjustment unit. This precise feedback adjustment helps to improve the treatment effect and reduce the current patient risk. In addition, the intuitive and easy-to-understand visualization tools equipped in the system can quickly and accurately understand the current patient's condition changes.

[0018] In addition, by introducing advanced algorithms and visualization tools such as the epilepsy risk assessment unit, the cardiovascular and respiratory abnormality reflection unit, and the emergency feedback measure adjustment unit, the system has achieved optimization and innovation of existing technologies. This not only improves the accuracy and efficiency of emergency patient monitoring and emergency treatment, but also provides useful reference and reference for the future development of medical technology. BRIEF DESCRIPTION OF THE DRAWINGS

[0019] Figure 1 This is a method flow chart of the comprehensive monitoring and emergency system; Figure 2 This is a linear schematic diagram of the upward trend of the feedback adjustment value T in the continuous monitoring of the present invention; Figure 3 It is a linear schematic diagram of the off-shelf trend of the feedback adjustment value T in the continuous monitoring of the present invention. DETAILED DESCRIPTION

[0020] The present invention will now be described in further detail with reference to the accompanying drawings and preferred embodiments.

[0021] Reference Figure 1-3 As shown, the present invention provides an all-round monitoring and first aid system for emergency department patients, including a data entry and acquisition module, a monitoring and evaluation module, an early warning module, a visualization module and a first aid execution module.

[0022] The data entry and collection module is used to collect the patient's emergency medical treatment characteristics before the emergency treatment, including external stimulation inducement and age, as well as the patient's comprehensive monitoring characteristics, including amygdala activity XR, brain activity baseline level N, abnormal discharge intensity NDT, heart rate XL, respiratory rate HP, systolic blood pressure value Ys, and diastolic blood pressure value Yz, and transmit the emergency medical treatment characteristics and comprehensive monitoring characteristics to the monitoring and evaluation module; The monitoring and assessment module obtains an epilepsy risk assessment value D, a comprehensive assessment value XH, and a feedback adjustment value T based on the emergency medical treatment characteristics and the comprehensive monitoring characteristics; A visualization module is used to plot the transmitted epilepsy risk assessment value, comprehensive assessment value, and feedback adjustment value into an epilepsy risk trend graph, a comprehensive assessment trend graph, and a feedback trend graph; An early warning module is used to issue early warnings based on the rising epilepsy risk trend graph, comprehensive assessment trend graph, and feedback trend graph, and to input adjusted first aid strategies into the first aid execution module; A first aid execution module, used to receive and execute first aid strategies; The monitoring and assessment module includes an epilepsy risk assessment unit, a cardiovascular and respiratory abnormality reflection unit, and an emergency feedback measure adjustment unit. The equipment used in the data entry and acquisition module includes heart rate monitor, respiratory rate monitor, blood pressure monitor, and electroencephalogram machine; The equipment used in the monitoring and assessment module includes monitoring system software; The equipment used in the early warning module includes early warning software; The equipment used in the visualization module includes visualization tools; The equipment used by the first aid execution module includes emergency rescue equipment.

[0023] The comprehensive emergency department patient monitoring and emergency system of this embodiment integrates multiple modules and units including a data entry and acquisition module, a monitoring and assessment module, an early warning module, a visualization module, and an emergency execution module, and utilizes advanced medical equipment and software technology to achieve comprehensive and real-time monitoring of the patient's condition and the formulation and adjustment of personalized treatment plans. This systematic method, steps, and equipment used provide strong support for the treatment of emergency department patients.

[0024] Reference Figure 1-3 As shown, in this embodiment: the epilepsy disease risk assessment unit obtains brain activity impact characteristics based on the amygdala activity and the brain activity baseline level; Obtain brain abnormality characteristics based on abnormal discharge intensity and external stimulation index; Obtain epilepsy risk assessment values based on brain activity impact characteristics, brain abnormality characteristics, and epileptic seizure baseline thresholds; The calculation formula for epilepsy disease risk assessment unit is as follows: ; in: D is the epilepsy risk assessment value; XR is the activity of the amygdala, which shows the blood flow and metabolic activity in different areas of the patient's brain; N is the baseline level of brain activity, which reflects the overall baseline activity of the patient's brain. NDT is the abnormal discharge intensity, and NDT reflects the potential changes of the patient's cerebral cortex. C is the external stimulation index, which reflects the proportion of different external stimulation inducements when the current patient sought medical treatment in the past. The specific calculation formula is as follows: C=(C i +1) / ZYY; C i is the number of attacks caused by the i-th cause, +1 indicates the number of attacks caused by the i-th cause that the current patient has visited the doctor before C i Add the current number of inductions to the above, and ZYY is the total number of epileptic seizures; DFH is the basic threshold for epileptic seizures, which reflects the average level of the critical value between no seizures and seizures in epileptic patients; A nonlinear transformation is performed on the product result to meet the needs of actual evaluation; A high D value reflects a high risk of epileptic seizures; A low D value reflects a low risk of epileptic seizures; The external stimulation index was obtained based on different external stimulation triggers and the total number of epileptic seizures; Among them, different external stimulation inducements include complex lighting and sound conditions in the external environment, abnormally crowded conditions in the external environment, and large fluctuations in one's own emotions. Based on the different stimulation inducements asked of the current patient before each emergency medical visit, the staff manually selects the options and performs intelligent calculations, and increases or decreases the options of different external stimulation inducements based on the inquiries.

[0025] In the algorithm of this embodiment, The calculation part evaluated the contribution of amygdala activity XR relative to the overall brain activity baseline level. As a key factor in the epilepsy risk assessment unit, it reflects the importance of the amygdala in epilepsy risk assessment.

[0026] The calculation part comprehensively evaluates the abnormal discharge intensity NDT shown on the EEG and the impact of external stimulation on epilepsy induction. Adding these two together can comprehensively consider the endogenous factors of epilepsy - EEG abnormalities and exogenous factors - external stimulation. As an addend item in the epilepsy disease risk assessment unit, it increases the comprehensiveness of the assessment and helps to more accurately judge the risk of epilepsy.

[0027] The calculation part is used to adjust the sensitivity of risk assessment to ensure the accuracy of the assessment results. It is a preset value used to adjust the calculation result of the epilepsy risk assessment value D. By subtracting this threshold, the risk assessment result can be made more in line with the actual situation and avoid misjudgment due to individual differences and measurement errors. As a subtrahend item in the epilepsy disease risk assessment unit, it helps to adjust the sensitivity of the assessment results, making the assessment results of different patients more comparable.

[0028] In this embodiment, the amygdala activity XR is an emotional processing center, and changes in its activity are directly related to the risk of epilepsy. By monitoring this parameter, it is possible to more accurately capture early warning signals before the onset of epilepsy. The baseline level of brain activity, N, reflects the basic activity state of the brain and helps identify abnormal brain activity patterns in epilepsy patients; The abnormal discharge intensity (NDT) displayed on the EEG is an important basis for the diagnosis of epilepsy. By quantifying this parameter, we can intuitively understand the activity of the epileptic focus. The external stimulus index C on the degree of influence of epilepsy induction takes into account the potential impact of environmental and personal factors on the patient's condition, making the assessment more realistic; Taking these factors into consideration, the epilepsy risk assessment unit can more comprehensively reflect the risk of epilepsy and improve the accuracy of the assessment; Each parameter in the epilepsy disease risk assessment unit has individual differences. By taking these individual differences into consideration, the epilepsy disease risk assessment unit can provide personalized risk assessments for different patients, making treatment more accurate and effective.

[0029] In addition, risk assessment through continuous monitoring can help understand the current trends in the patient's condition and provide a basis for formulating long-term treatment and management plans.

[0030] Reference Figure 1-3 As shown, in this embodiment: the cardiovascular and respiratory abnormality reflecting unit obtains the potential characteristics of epilepsy on cardiovascular system according to the epilepsy risk assessment value, heart rate and maximum heart rate; Obtain abnormal respiratory characteristics based on respiratory rate and average respiratory rate; Subtract the diastolic blood pressure value from the systolic blood pressure value to obtain the blood pressure difference; Obtain comprehensive assessment values based on potential characteristics, abnormal respiratory characteristics, and blood pressure differences; The calculation formula reflecting cardiovascular and respiratory abnormality units is as follows: ; in: XH is the comprehensive evaluation value; XL is heart rate; XL max is the maximum heart rate; HP is respiratory rate; HP0 is the average respiratory rate; Max Heart Rate XL max The average respiratory rate HP0 is automatically matched according to the current patient's age; Ys is the systolic blood pressure value, which reflects the highest pressure in the artery when the heart contracts; Yz is the diastolic blood pressure value, which reflects the lowest pressure in the artery when the heart is in diastole; The comprehensive evaluation value XH reflects the comprehensive condition of the patient's current cardiovascular and respiratory conditions, as follows: A high XH value indicates that the patient currently has serious problems with the cardiovascular and respiratory systems and requires urgent and aggressive first aid measures; A low XH value indicates that the patient's cardiovascular and respiratory system conditions are relatively stable.

[0031] In the algorithm of this embodiment, The calculation unit evaluates the effect of epilepsy risk assessment value D on cardiovascular status by comparing epilepsy risk assessment value D with Multiplying the ratio of XL and D can reflect the potential impact of the epilepsy risk assessment value D on the cardiovascular system. The faster the heart rate XL, the smaller the ratio, which means that the cardiovascular system is more affected. As a multiplier item in the unit reflecting cardiovascular and respiratory abnormalities, it helps to combine brain disease risk assessment with cardiovascular status for a comprehensive assessment.

[0032] The calculation part is used to evaluate the degree of deviation of the respiratory rate HP from the normal value. The ratio of the respiratory rate HP to the average respiratory rate HP0 can reflect the abnormality of the respiratory rate HP. The larger the ratio, the closer the respiratory rate is to the normal value, and the smaller the ratio, the further the respiratory rate deviates from the normal value. As a factor in the unit reflecting cardiovascular and respiratory abnormalities, it helps to evaluate the condition of the respiratory system and make a comprehensive judgment in combination with the cardiovascular condition.

[0033] The calculation part is used to calculate the blood pressure difference, which reflects the stress state of the cardiovascular system. The difference between systolic pressure and diastolic pressure reflects the stress state of the cardiovascular system. The larger the difference, the greater the stress on the cardiovascular system, and the smaller the difference, the smaller the stress on the cardiovascular system. As a subtrahend item in the unit reflecting cardiovascular and respiratory abnormalities, it helps to reflect the stress state of the cardiovascular system and is combined with the epilepsy risk assessment value D and respiratory rate HP for comprehensive assessment.

[0034] In this embodiment, not only the risk of brain diseases is taken into account, but also key physiological parameters of the cardiovascular and respiratory systems are incorporated, thereby being able to more comprehensively reflect the patient's overall physical condition. This comprehensive assessment helps to timely discover the potential connections and mutual influences between the various systems of the patient's body, and provides a basis for formulating comprehensive treatment strategies.

[0035] Specifically, when abnormalities occur in the cardiovascular and respiratory systems, including accelerated heart rate XL, increased respiratory rate HP, and abnormal blood pressure fluctuations, the cardiovascular and respiratory abnormality unit can capture these changes in a timely manner and issue early warning signals, which helps to quickly take intervention measures to prevent further deterioration of the condition and reduce the risk of serious complications in current patients.

[0036] The comprehensive evaluation results will help adjust the treatment plan according to the actual situation of the nitrogen tank patient. For patients with cardiovascular and respiratory diseases, the type and dosage of anti-epileptic drugs need to be adjusted to reduce the side effects on the cardiovascular and respiratory systems. At the same time, according to the evaluation results, it is also possible to consider adding assisted breathing equipment and cardiovascular support treatment measures to improve the treatment effect. Therefore, through timely intervention and treatment, reflecting the cardiovascular and respiratory abnormalities unit can help reduce the current patient's discomfort and complications caused by cardiovascular and respiratory diseases. This can not only alleviate the patient's pain, but also improve their quality of life and enhance the patient's confidence in fighting the disease.

[0037] Reference Figure 1-3 As shown, in this embodiment: the emergency feedback measure adjustment unit obtains the first adjustment feature of the cardiovascular and respiratory conditions based on the comprehensive evaluation value, the respiratory rate, and the respiratory rate change; Obtaining a previous epilepsy risk assessment value from the data entry and acquisition module, and subtracting the epilepsy risk assessment value from the previous epilepsy risk assessment value to obtain an epilepsy assessment change, and obtaining a feedback adjustment value based on the epilepsy assessment change, the epilepsy risk assessment value, and the first adjustment feature; The calculation formula for the first aid feedback measure adjustment unit is as follows: ; in: T is the feedback adjustment value, and T is used to guide the implementation of first aid measures; HPB is the respiratory rate change. HPB represents the difference between the current respiratory rate HP and the baseline value, i.e. the result value of HP-HP0. D prev is the previous epilepsy risk assessment value, D prev Reflects the epilepsy risk assessment value D calculated and output during the last monitoring of the current patient; Reflects the changes in the patient's epilepsy risk during the current continuous monitoring process; Used to adjust the feedback adjustment value T according to the changes in the comprehensive evaluation value XH of cardiovascular and respiratory conditions and the respiratory rate HP.

[0038] In the algorithm of this embodiment, The calculation part adjusts the feedback adjustment value T according to the changes in the comprehensive evaluation value XH of cardiovascular and respiratory conditions and the respiratory rate HP, so as to reflect the impact of the current physical condition of the patient on the feedback adjustment value T. The greater the change in respiratory rate HP, the more significant the impact of this ratio on the feedback adjustment value T. As a multiplier item in the emergency feedback measure adjustment unit, it helps to incorporate the current physical condition of the patient, especially the changes in the respiratory system, into the calculation of the feedback adjustment value T, thereby guiding the implementation of emergency measures.

[0039] The calculation part considers the impact of the change in the epilepsy risk assessment value D on the feedback adjustment value T. By subtracting the change in the current epilepsy risk assessment value D from the previous assessment value and taking the negative value, the changing trend of the epilepsy risk assessment value D can be reflected. If the current assessment value is higher than the previous assessment, the item is negative, indicating an increase in risk. Conversely, if the current assessment value is lower than the previous assessment, the item is positive, indicating a decrease in risk. As a subtrahend item in the emergency feedback measure adjustment unit, it helps to incorporate the changing trend of the epilepsy risk assessment value into the calculation of the feedback adjustment value, thereby more accurately guiding the implementation of emergency measures.

[0040] In this embodiment, the emergency feedback measure adjustment unit can reflect the changes in the current patient's physical condition in real time and adjust the emergency measures according to these changes. This real-time dynamic monitoring and adjustment mechanism helps to respond to changes in the current patient's condition in a timely manner and ensure the effectiveness and safety of treatment.

[0041] Through quantitative evaluation, the first aid feedback measure adjustment unit helps to make decisions more quickly. This quantitative evaluation method reduces the errors caused by subjective judgment and improves the accuracy and efficiency of first aid. At the same time, the first aid feedback measure adjustment unit can also automatically adjust the first aid measures according to the actual situation of the nitrogen tank patient, avoiding the aggravation of the disease and the occurrence of complications due to delayed treatment.

[0042] The evaluation results T of the emergency feedback measures adjustment unit can more accurately judge the current patient's condition and prognosis, thereby formulating a more reasonable treatment plan. The results of the emergency feedback measures adjustment unit can serve as an important reference in the patient monitoring process. At the same time, the evaluation results of continuous monitoring can also help understand the current patient's condition change trend and recovery progress.

[0043] Reference Figure 1-3 As shown, in this embodiment: based on the results of the epilepsy risk assessment value D, the comprehensive assessment value XH and the feedback adjustment value T, the specific analysis and adjustment of the first aid measures are as follows: If the feedback adjustment value T on the line graph shows an upward trend, an emergency alarm is triggered and the drug dosage is adjusted. Furthermore, if the epilepsy risk assessment value D on the line graph still shows an upward trend after the drug dosage is adjusted, an emergency alarm is triggered and the emergency strategy is urgently changed; If the feedback adjustment value T and the epilepsy risk assessment value D on the linear graph show a downward trend, it means that the first aid strategy is effective and the current patient's epilepsy has been alleviated.

[0044] This embodiment can dynamically adjust the epilepsy risk assessment value D in the epilepsy disease risk assessment unit by real-time monitoring and evaluation of changes in the patient's physical condition, so that it is more in line with the patient's actual situation. Through the feedback adjustment of the emergency feedback measure adjustment unit, it can more keenly capture subtle changes in the patient's physical condition, thereby improving the sensitivity of risk assessment.

[0045] Based on the adjustment results of the emergency feedback measure adjustment unit, treatment plans and monitoring plans can be formulated and adjusted more accurately to better meet the individual needs of patients. Moreover, through the cyclical influence of the emergency feedback measure adjustment unit, treatment strategies and monitoring measures can be adjusted more timely, thereby promoting the patient's recovery process. In this embodiment, the line graph, as an intuitive and easy-to-understand chart format, plays an important role in the monitoring process. Through the line graph, the changing trends of key indicators such as the epilepsy risk assessment value D and the comprehensive cardiovascular and respiratory status assessment value XH can be clearly seen. This helps to better understand the current patient's condition progression, promptly identify potential problems, and take appropriate treatment measures. Specifically, the application effects of line graphs in the monitoring process include real-time monitoring of the patient's key physiological indicators through line graphs, and timely issuing early warnings when abnormalities are found so that measures can be taken quickly to intervene. The display of indicator change trends helps to analyze and predict the patient's condition. Combining the indicator change trends displayed by the line graph with the patient's specific situation, a personalized treatment plan can be formulated to help improve treatment effects and the patient's quality of life. In the actual monitoring process, by combining the epilepsy risk assessment unit, the cardiovascular and respiratory abnormality reflection unit, the emergency feedback measure adjustment unit and the application of line graphs, comprehensive and real-time monitoring of the patient's condition can be achieved. This monitoring not only helps to timely discover potential problems, but also provides accurate decision-making basis. On this basis, the treatment plan and emergency strategy can be flexibly adjusted according to the current patient's specific situation and monitoring data. This personalized adjustment helps to improve the treatment effect, reduce the occurrence of complications, and enhance patient satisfaction and quality of life. Therefore, this monitoring method has important application value in clinical practice.

[0046] It should be noted that any modification, equivalent replacement, improvement, etc. within the spirit and principles of the present invention should also be within the scope of protection of the present invention.

Claims

1. A comprehensive emergency monitoring system for patients in the emergency department, characterized by: It includes data entry and collection module, monitoring and assessment module, early warning module, visualization module and emergency execution module; The data entry and acquisition module is used to collect the emergency medical treatment characteristics of the current patient before the emergency medical treatment, including external stimulation inducement and age, and collect the comprehensive monitoring characteristics of the current patient, including amygdala activity, brain activity baseline level, abnormal discharge intensity, heart rate, respiratory rate, systolic blood pressure value, and diastolic blood pressure value, and transmit the emergency medical treatment characteristics and the comprehensive monitoring characteristics to the monitoring and evaluation module; The monitoring and assessment module obtains and outputs an epilepsy risk assessment value, a comprehensive assessment value, and a feedback adjustment value based on the emergency medical treatment characteristics and the comprehensive monitoring characteristics; The visualization module is used to plot the transmitted epilepsy risk assessment value, the comprehensive assessment value, and the feedback adjustment value into an epilepsy risk trend graph, a comprehensive assessment trend graph, and a feedback trend graph; The early warning module is used to issue an early warning for the epilepsy risk trend graph, the comprehensive assessment trend graph, and the feedback trend graph that are showing an upward trend, and input the adjusted first aid strategy into the first aid execution module; The first aid execution module is used to receive and execute the first aid strategy; The monitoring and assessment module includes an epilepsy risk assessment unit, a cardiovascular and respiratory abnormality reflection unit, and an emergency feedback measure adjustment unit.

2. The all-round monitoring and emergency system for emergency department patients according to claim 1, characterized in that: The equipment used in the data entry and acquisition module includes a heart rate monitor, a respiratory rate monitor, a blood pressure monitor, and an electroencephalogram; The equipment used in the monitoring and assessment module includes monitoring system software; The equipment used by the early warning module includes early warning software; The equipment used by the visualization module includes visualization tools; The equipment used by the first aid execution module includes emergency rescue equipment.

3. The all-round monitoring and emergency system for emergency department patients according to claim 1, characterized in that: The epilepsy disease risk assessment unit obtains a brain activity impact feature based on the amygdala activity and the brain activity baseline level; Acquiring brain abnormality characteristics according to the abnormal discharge intensity and the external stimulation index; The epilepsy risk assessment value is obtained according to the brain activity impact characteristics, the brain abnormality characteristics, and the epileptic seizure basic threshold.

4. The all-round monitoring and emergency system for emergency patients according to claim 3, characterized in that: The external stimulation index is obtained according to different external stimulation inducements and the total number of epileptic seizures; Among them, the different external stimulation inducements include complex lighting and sound conditions in the external environment, abnormal crowding of people in the external environment, and large emotional fluctuations. Based on the different stimulation inducements asked of the current patient before each emergency medical visit, the personnel manually check the options and perform intelligent calculations, and increase or decrease the options of different external stimulation inducements according to the inquiries.

5. The all-round monitoring and first aid system for emergency department patients according to claim 3, characterized in that: The cardiovascular and respiratory abnormality reflecting unit obtains potential cardiovascular characteristics of epilepsy based on the epilepsy risk assessment value, the heart rate, and the maximum heart rate; Acquiring abnormal breathing characteristics according to the respiratory frequency and the average respiratory frequency; subtracting the diastolic pressure value from the systolic pressure value to obtain a blood pressure difference; The comprehensive evaluation value is obtained according to the potential characteristics, the abnormal breathing characteristics, and the blood pressure difference.

6. The all-round monitoring and emergency system for emergency patients according to claim 5, characterized in that: The first aid feedback measure adjustment unit obtains a first adjustment feature of the cardiovascular and respiratory conditions based on the comprehensive evaluation value, the respiratory rate, and the respiratory rate change; Obtain a previous epilepsy risk assessment value from the data entry and acquisition module, and subtract the epilepsy risk assessment value from the previous epilepsy risk assessment value to obtain an epilepsy assessment change, and obtain the feedback adjustment value based on the epilepsy assessment change, the epilepsy risk assessment value, and the first adjustment feature.

7. The all-round monitoring and emergency system for emergency patients according to claim 6, characterized in that: Based on the results of the epilepsy risk assessment value, the comprehensive assessment value, and the feedback adjustment value, the specific analysis and adjustment of emergency measures are as follows: If the feedback adjustment value on the line graph shows an upward trend, an emergency alarm is triggered and the drug dosage is adjusted. If the epilepsy risk assessment value on the line graph still shows an upward trend after the drug dosage is adjusted, an emergency alarm is triggered and the emergency strategy is urgently changed; If the feedback adjustment value and the epilepsy risk assessment value show a downward trend on the line graph, it means that the first aid strategy is effective and the current patient's epilepsy has been alleviated.

8. The all-round monitoring and emergency system for emergency patients according to claim 5, characterized in that: The maximum heart rate and average respiratory rate are automatically matched according to the current age of the patient.

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