Physical sign data processing system

Abstract

The invention discloses a physical sign data processing system, and relates to the technical field of cardiology department medical information, a data acquisition module is used for acquiring physiological data of heart rate, blood pressure and cardiac output of a patient in real time, and a data analysis processing module is used for substituting, calculating and outputting to obtain a heart rate variability index XB; the heart rate variability index XB, the heart workload evaluation index XFZ and the dynamic heart efficiency index DXL are acquired, statistical analysis and trend prediction are performed based on the result value of the dynamic heart efficiency index DXL, and encrypted storage and secure backup are performed on the acquired physiological data, the heart rate variability index XB, the heart workload evaluation index XFZ and the dynamic heart efficiency index DXL. According to the heart health assessment system, a more comprehensive, accurate and scientific heart health assessment tool is provided for doctors through the beneficial effects and optimization innovation of enhancing data security, optimizing a data processing algorithm and constructing a comprehensive assessment index.

Description

Technical Field

[0001] The present invention relates to the field of cardiology medical information technology, in particular to a vital sign data processing system. Background Art

[0002] The cardiology vital signs data processing system is an important part of modern medical information technology. It aims to efficiently and accurately collect, process and analyze the patient's heart rate, blood pressure, and cardiac output physiological data, and provide doctors with scientific diagnostic basis and personalized treatment plans. The system integrates a variety of sensor technologies, data processing algorithms and data analysis models, and can monitor the patient's heart function status in real time and evaluate its workload and efficiency under different physiological conditions.

[0003] However, existing cardiology vital sign data processing systems often ignore the security issues of data during transmission, storage and processing. Unencrypted data transmission and storage are vulnerable to hacker attacks and data leakage risks, threatening the privacy and security of patients, resulting in insufficient data security. In addition, many systems only use simple data processing algorithms, such as mean calculation and standard deviation analysis, which cannot fully reflect the complexity and dynamics of cardiac function. This limits the accuracy and reliability of the evaluation results, and there is a single data processing algorithm. In addition, existing evaluation indicators often only focus on a single heart rate or blood pressure parameter, ignoring the multidimensional characteristics of cardiac function, and lack an indicator that can comprehensively evaluate cardiac workload and efficiency, making it difficult for doctors to fully understand the patient's heart health status, and thus lack comprehensive evaluation indicators. Summary of the invention

[0004] The purpose of the present invention is to provide a vital sign data processing system to solve the problems raised in the above background technology.

[0005] To achieve the above purpose, the present invention provides the following technical solution, and the specific data processing steps are as follows: Using the data acquisition module, the patient's physiological data of heart rate, blood pressure, and cardiac output are collected in real time; The collected physiological data is substituted into the data analysis and processing module for calculation and output to obtain the heart rate variability index XB, the cardiac workload assessment index XFZ and the dynamic cardiac efficiency index DXL, and statistical analysis and trend prediction are performed based on the result value of the dynamic cardiac efficiency index DXL; The data analysis and processing module includes a heart health status measurement unit, a heart function status evaluation unit and a heart efficiency evaluation unit; The data storage and access control module is used to encrypt and securely back up the collected physiological data as well as the heart rate variability index XB, the cardiac workload assessment index XFZ and the dynamic cardiac efficiency index DXL; Use the data security module to regularly conduct security audits and vulnerability scans on the system; The equipment used in the data acquisition module includes an electrocardiogram sensor, a sphygmomanometer, a cardiac output monitor and a data acquisition device; The equipment used in the data analysis and processing module includes a server and data processing software; The devices used in the data storage and access control module include storage devices, key management systems and security authentication devices; The equipment used by the data security module includes security audit tools and vulnerability scanners.

[0006] Optionally, the calculation formula of the heart health status measurement unit is as follows: ; XJ avg =(XJ1+XJ2+XJ3+......+XJ n ) / N; in: XB is the heart rate variability index; N is the total number of heartbeat intervals, which reflects the total number of time intervals between all two adjacent heartbeats during the vital sign monitoring period; XJ i is the ith heartbeat interval index, XJ i Reflects the time interval between two adjacent heartbeats; XJ avg is the average heartbeat interval.

[0007] Optionally, the calculation formula of the cardiac function status assessment unit is as follows: XFZ=(XL avg ×SY avg ) / (XB+1+SY var +SXL avg )×100% ; SY avg =(SY1+SY2+SY3+......+SY m ) / M; in: XFZ is the cardiac workload assessment index; XL avg is the average heart rate; SY var is the mean systolic blood pressure index; M is the total number of measurements; SY k is the systolic blood pressure index measured at the kth time; SXLavg is the mean cardiac output index, SXL avg Reflects the average amount of blood pumped by the heart per minute.

[0008] Optionally, the calculation formula of the cardiac efficiency evaluation unit is as follows: DXL=XB 2 / (XFZ+XL avg ×C); in: DXL is the dynamic cardiac efficiency index; C is the adjustment factor, which is used to balance the average heart rate index XL avg The degree of impact on the dynamic cardiac efficiency index DXL; The evaluation process of the cardiac efficiency evaluation unit is as follows; The heart workload evaluation index XFZ output by the heart function status evaluation unit, the heart rate variability index XB output by the heart health status measurement unit, and the average heart rate index XL are combined. avg And the adjustment coefficient C is used to evaluate the efficiency of the heart under different workloads, which is the dynamic heart efficiency index DXL output by this unit.

[0009] Optionally, the steps for adjusting the impact and measures of the dynamic heart efficiency index DXL output by the heart efficiency evaluation unit are as follows: S1, extracting the dynamic heart efficiency index DXL of healthy people from the data storage module, that is, the average heart efficiency JXL of healthy people avg ; S2. If the dynamic heart efficiency index DXL is greater than the average heart efficiency JXL of healthy people avg , it indicates that the cardiac autonomic nervous system functions well and the cardiovascular system is healthy. The workload should be appropriately reduced, rest time should be increased, and the heart should be prevented from being in a high-load state for a long time. S3. If the dynamic heart efficiency index DXL is less than the average heart efficiency JXL of healthy people avg , it means that under a given workload, the efficiency of the heart is low and cannot fully meet the body's needs. Appropriate exercise and the use of relevant drugs to improve heart function and autonomic nervous system function should be carried out, as well as improving eating habits, reducing stress, and ensuring adequate sleep. S4. If the dynamic heart efficiency index DXL is equal to the average heart efficiency of healthy people JXL avg , it indicates that the heart is healthy and functioning well, so you should maintain good living and exercise habits.

[0010] Optionally, the average heart efficiency of the healthy population JXL avgBased on the collection of human body sign data from x healthy volunteers and the data processing, the average heart efficiency of healthy people is JXL avg The calculation formula is as follows; JXL avg =(JXL1+JXL2+JXL3+......+JXL x ) / x; x is the total number of volunteers; JXL1+JXL2+JXL3+......+JXL x The sum of the cardiac efficiency of the healthy population of x volunteers was calculated.

[0011] Optionally, the relevant data collected and processed by the data acquisition module and the data analysis and processing module are stored in a storage device, and the data stored in the storage device has its keys regularly replaced and distributed by a key management system, and finally a security authentication device is used to perform security authentication for accessing and extracting the data.

[0012] Optionally, the key that is periodically replaced by the key management system is an Advanced Encryption Standard.

[0013] Compared with the prior art, the present invention has the following beneficial effects: 1. The present invention ensures the security of data during transmission, storage and processing by introducing key management and access control mechanisms, adopts advanced encryption technology to encrypt sensitive data to prevent data leakage and illegal access, and implements strict access control policies to ensure that only authorized users can access and process data, thereby enhancing data security.

[0014] Second, the present invention uses complex and scientific data processing algorithms, such as heart rate variability index XB, average systolic blood pressure index SY var and mean cardiac output index SXL avg The calculation methods fully reflect the complexity and dynamics of cardiac function. These algorithms can more accurately evaluate the workload and efficiency of the heart under different physiological conditions, providing doctors with a more scientific basis for diagnosis.

[0015] 3. Based on the cardiac function status evaluation unit and the cardiac efficiency evaluation unit, the present invention constructs two comprehensive evaluation indicators, namely the cardiac workload evaluation index XFZ and the dynamic cardiac efficiency index DXL. These two indicators not only take into account the single parameters of heart rate and blood pressure, but also integrate the multi-dimensional characteristics of cardiac function, and can more comprehensively evaluate the health status and work efficiency of the heart, so that doctors can formulate personalized treatment plans based on these indicators, thereby improving the treatment effect and the quality of life of patients. BRIEF DESCRIPTION OF THE DRAWINGS

[0016] Figure 1 The present invention is a method flow chart of the feature data processing system; Figure 2 It is a structural schematic diagram of the data analysis and processing module of the present invention; Figure 3 Schematic diagram of the steps for evaluating and adjusting this feature data processing system. DETAILED DESCRIPTION

[0017] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0018] Regarding this vital sign data processing system, it is different from the existing cardiology vital sign data processing system. The existing cardiology vital sign data processing system often ignores the security issues of data during transmission, storage and processing, resulting in insufficient data security and failure to fully reflect the complexity and dynamics of cardiac function. There is a single data processing algorithm and a lack of an indicator that can comprehensively evaluate cardiac workload and efficiency, making it difficult for doctors to fully understand the patient's heart health status. This algorithm unit solves the problems and deficiencies in the existing technology through the beneficial effects and optimization innovations of enhancing data security, optimizing data processing algorithms and constructing comprehensive evaluation indicators, providing doctors with a more comprehensive, accurate and scientific heart health assessment tool.

[0019] For example, see Figures 1 to 3 This embodiment provides a vital sign data processing system, and the specific data processing steps are as follows: Using the data acquisition module, the patient's physiological data of heart rate, blood pressure, and cardiac output are collected in real time; The collected physiological data is substituted into the data analysis and processing module for calculation and output to obtain the heart rate variability index XB, the cardiac workload assessment index XFZ and the dynamic cardiac efficiency index DXL, and statistical analysis and trend prediction are performed based on the result value of the dynamic cardiac efficiency index DXL; The data analysis and processing module includes a heart health status measurement unit, a heart function status evaluation unit and a heart efficiency evaluation unit; The data storage and access control module is used to encrypt and securely back up the collected physiological data as well as the heart rate variability index XB, the cardiac workload assessment index XFZ and the dynamic cardiac efficiency index DXL; Use the data security module to regularly conduct security audits and vulnerability scans on the system; The equipment used in the data acquisition module includes electrocardiogram sensors, blood pressure monitors, cardiac output monitors and data acquisition equipment; The equipment used in the data analysis and processing module includes servers and data processing software; The devices used in the data storage and access control module include storage devices, key management systems and security authentication devices; The relevant data collected and processed by the data acquisition module and the data analysis and processing module are all stored in the storage device. The key management system regularly replaces and distributes the key for the data stored in the storage device. Finally, the security authentication device performs security authentication for accessing and extracting the data. The key management system regularly replaces the key according to the Advanced Encryption Standard. The equipment used in the data security module includes security audit tools and vulnerability scanners.

[0020] In this embodiment, the key management system generates, distributes, stores and destroys keys, which can ensure the confidentiality of data during storage and transmission. Even if the data is stolen, it cannot be decrypted without the corresponding key, thereby effectively preventing the leakage of sensitive medical information. By assigning different keys and key sets to different user roles, their access scope to the data can be accurately controlled to prevent unauthorized access and data leakage. The key management system supports dynamic key updates and revocations, which enables the system to respond quickly to security incidents such as user authority changes and key leaks, thereby improving the flexibility and response capabilities of the system. In addition, based on key access processing, combined with security authentication equipment, the security of user identity authentication can be further enhanced. On the premise of ensuring data security, key access processing can also promote the sharing and collaboration of medical data among different medical institutions, research institutions and patients. By assigning appropriate keys and key sets to legitimate data sharers, the security and compliance of data during the sharing process can be ensured.

[0021] In this embodiment, the system achieves the beneficial effects of enhancing data security, optimizing data processing algorithms and constructing comprehensive evaluation indicators through the mutual cooperation of three algorithm units. Combining the three operation results of XB, XFZ and DXL, it provides doctors with a more comprehensive, accurate and scientific heart health assessment tool. XB is the heart rate variability index, which is an important indicator for measuring heart health status. Its calculation results are of great significance for doctors to evaluate patients' cardiac autonomic nervous regulation ability, predict the risk of cardiovascular events and guide individualized treatment. XFZ is the cardiac workload assessment index, which not only helps doctors understand the patient's heart function status, but also provides an important basis for formulating scientific treatment plans and rehabilitation plans. In terms of data protection, ensuring the safe transmission and storage of these physiological indicator data is to maintain patient privacy and protect medical data security. DXL is an important part of the medical treatment system. It is a dynamic cardiac efficiency index that can more truly reflect the heart's ability to cope with physiological challenges. This is of great significance for doctors to develop personalized treatment plans, optimize rehabilitation plans, and evaluate treatment effects. At the same time, the secure access to data also protects the privacy rights of patients and enhances the trust and reliability of medical services. The calculation results of DXL can also affect the calculations fed back to XB and XFZ, so that the three algorithms of this system have a high correlation and entanglement, so that the overall algorithm system can perform automatic feedback and optimization according to actual conditions to be closer to reality. In the data processing process, key access processing plays a vital role in medical data management and system security. It not only enhances data security, but also improves the flexibility, compliance and collaboration of the system.

[0022] See also Figures 1 to 3 , the calculation formula for measuring the heart health status unit is as follows: ; XJ avg =(XJ1+XJ2+XJ3+......+XJ n ) / N; in: XB is the heart rate variability index; N is the total number of heartbeat intervals, which reflects the total number of time intervals between all two adjacent heartbeats during the vital sign monitoring period; XJ i is the ith heartbeat interval index, XJ i Reflects the time interval between two adjacent heartbeats; XJ avg is the average heartbeat interval. Then XJ1+XJ2+XJ3+......+XJ n There are N intervals between them. In this embodiment: First, the total number of heartbeat intervals N in this algorithm unit reflects the total number of intervals between all two adjacent heartbeats, that is, XJ1+XJ2+XJ3+......+XJ n The total number of people involved in the calculation, the average heartbeat interval XJ avg It reflects the average of all heartbeat time intervals, that is, XJ1+XJ2+XJ3+......+XJ n The result value is divided by the total number of heartbeat intervals N after adding them up. For example, if there are four heartbeats in total, then the intervals between these four heartbeats are three times, specifically XJ1, XJ2 and XJ3. The specific time of the three intervals XJ1, XJ2 and XJ3 is detected, and then divided by 3 to get the average heartbeat interval. The time interval between two adjacent heartbeats is different and is an important indicator for evaluating heart activity. By measuring the average heartbeat interval XJ avg , can understand the frequency and rhythm of heartbeat, and then judge the health of the heart; In this algorithm unit, substitute the i-th heartbeat interval index XJ i It has far-reaching significance to the calculation formula of the unit for measuring heart health status. First, we need to clarify the i-th heartbeat interval index XJ i It refers to the time interval between two adjacent XJ wave vertices on the electrocardiogram, which directly reflects the heart beat cycle. By measuring and analyzing the i-th heart beat interval index XJ i By measuring the changes in heart rate, we can evaluate the regulatory function of the cardiac autonomic nervous system, which includes the sympathetic nervous system and the parasympathetic nervous system, which together regulate the rhythm and rate of the heart. The heart rate variability index XB is calculated by quantifying the i-th heartbeat interval index XJ. i The variability of heart rate variability indirectly reflects the balance between the two systems. A higher heart rate variability index XB usually means that the autonomic nervous system has a good regulatory function and can better cope with various physiological and psychological stresses. The heart rate variability index XB output by this algorithm unit is an important indicator for measuring the function of the cardiac autonomic nervous system. It can objectively reflect the degree of fluctuation of the heart rate at rest. The change of this indicator is often closely related to the occurrence and development of various cardiovascular diseases. Therefore, by calculating the heart rate variability index XB, doctors can more accurately evaluate the patient's cardiac autonomic nervous regulation ability, provide strong support for the early diagnosis of cardiovascular diseases, and thus improve the accuracy of diagnosis; Based on a large number of studies, it has been shown that a decrease in the heart rate variability index XB is significantly associated with an increased risk of cardiovascular events, including myocardial infarction and arrhythmia. Therefore, regular monitoring of the changing trend of the heart rate variability index XB can help doctors identify high-risk patients in a timely manner and take corresponding preventive measures, thereby reducing the incidence and mortality of cardiovascular events and achieving the purpose of predicting the risk of cardiovascular events. There are differences in cardiac autonomic nervous function among different patients, so individualized treatment is particularly important. The calculation results of the heart rate variability index XB can provide a basis for doctors to formulate personalized treatment plans, including adjusting drug dosages and optimizing lifestyles, which helps to improve treatment outcomes and the patient's quality of life, and achieve the purpose of guiding individualized treatment.

[0023] See also Figures 1 to 3 , the calculation formula of the cardiac function status assessment unit is as follows: XFZ=(XL avg ×SY avg ) / (XB+1+SY var +SXL avg )×100% ; SY avg =(SY1+SY2+SY3+......+SY m ) / M; in: XFZ is the cardiac workload assessment index; XL avg is the average heart rate; SY var is the mean systolic blood pressure index; M is the total number of measurements; SY k is the systolic blood pressure index measured at the kth time; SXL avg is the mean cardiac output index, SXL avg Reflects the average amount of blood pumped by the heart per minute.

[0024] In this embodiment, firstly, the average systolic blood pressure index SY var It refers to the degree to which systolic blood pressure fluctuates around its average value within a certain period of time. This variability can be quantified by calculating the standard deviation and variance of systolic blood pressure values ​​measured multiple times over a period of time. Systolic blood pressure variability reflects the regulatory ability of the autonomic nervous system on the cardiovascular system, as well as the responsiveness and compliance of blood vessels to pressure changes. Higher systolic blood pressure variability may be associated with increased cardiovascular health risks because it indicates that the cardiovascular system is less adaptable to pressure changes. In addition, when evaluating cardiovascular health, the average cardiac output index SXL avgIt is an important reference indicator because it is closely related to the body's supply of oxygen and nutrients and the removal of metabolic products; The cardiac workload assessment index XFZ output by this algorithm unit can more comprehensively assess the load of the heart when it is working by comprehensively considering multiple physiological indicators. This comprehensive assessment helps doctors understand the patient's cardiac function status more accurately and provides strong support for formulating scientific treatment plans; By comparing the changes in the cardiac workload assessment index XFZ under different treatment plans, doctors can evaluate the effectiveness of the treatment and adjust the treatment plan accordingly. For example, for patients with poor cardiac function, the exercise intensity can be appropriately reduced and the drug dosage can be adjusted. For patients with good cardiac function, the exercise intensity can be appropriately increased or the drug treatment plan can be optimized to achieve the best treatment effect. During the cardiac rehabilitation process, regular monitoring of changes in the cardiac workload assessment index XFZ can evaluate the rehabilitation effect and provide a basis for formulating the next rehabilitation plan, which helps promote the patient's cardiac function recovery and improve their quality of life.

[0025] See also Figures 1 to 3 , the calculation formula of the cardiac efficiency evaluation unit is as follows: DXL=XB 2 / (XFZ+XL avg ×C); in: DXL is the dynamic cardiac efficiency index; C is the adjustment factor, which is used to balance the average heart rate index XL avg The degree of impact on the dynamic cardiac efficiency index DXL; The assessment process for the Cardiac Efficiency Assessment Unit is as follows; It combines the cardiac workload assessment index XFZ output by the cardiac function status assessment unit, the heart rate variability index XB output by the heart health status measurement unit, and the average heart rate index XL avg And the adjustment coefficient C is used to evaluate the efficiency of the heart under different workloads, which is the dynamic heart efficiency index DXL output by this unit.

[0026] In this embodiment, the dynamic heart efficiency index DXL output by the algorithm unit represents the comprehensive performance of the heart's pumping function, heart rate regulation ability and overall work efficiency when responding to different physiological challenges. In the processing of vital sign data, the dynamic heart efficiency index DXL, as an important physiological parameter, can be used to evaluate the individual's heart health status and functional status. By monitoring and analyzing the dynamic heart efficiency index DXL, doctors can understand the patient's heart work efficiency under different states, and then determine whether the patient has abnormal heart function or potential cardiovascular disease risks. The dynamic heart efficiency index DXL combines the indicators of the heart workload assessment index XFZ and the heart rate variability index XB, and can comprehensively evaluate the efficiency of the heart under different workloads. This index not only reflects the working capacity of the heart, but also takes into account the autonomic nervous regulation ability of the heart when responding to physiological challenges. Therefore, the calculation results of the dynamic heart efficiency index DXL can provide doctors with more comprehensive heart health assessment information; For patients who need exercise rehabilitation, the evaluation results of the dynamic heart efficiency index DXL can provide a basis for doctors to formulate personalized exercise prescriptions. By understanding the changes in the patient's heart efficiency at different exercise intensities, doctors can formulate a safe and effective exercise plan to promote the patient's heart health recovery; By regularly monitoring the changing trends of the dynamic heart efficiency index DXL, doctors can promptly detect changes in the patient's heart function and take appropriate intervention measures, which helps prevent the occurrence and development of cardiovascular disease and promote the patient's heart health management. At the same time, the evaluation results of the dynamic heart efficiency index DXL can also provide patients with scientific health guidance suggestions, such as adjusting diet and improving sleep to maintain heart health.

[0027] See also Figures 1 to 3 The impact and measures adjustment steps based on the dynamic heart efficiency index DXL output by the heart efficiency evaluation unit are as follows: S1. Extract the dynamic heart efficiency index DXL of healthy people from the data storage module, that is, the average heart efficiency JXL of healthy people. avg ; S2. If the dynamic heart efficiency index DXL is greater than the average heart efficiency JXL of healthy people avg , it indicates that the cardiac autonomic nervous system functions well and the cardiovascular system is healthy. The workload should be appropriately reduced, rest time should be increased, and the heart should be prevented from being in a high-load state for a long time. S3. If the dynamic heart efficiency index DXL is less than the average heart efficiency JXL of healthy people avg , it means that under a given workload, the efficiency of the heart is low and cannot fully meet the body's needs. Appropriate exercise and the use of relevant drugs to improve heart function and autonomic nervous system function should be carried out, as well as improving eating habits, reducing stress, and ensuring adequate sleep. S4. If the dynamic heart efficiency index DXL is equal to the average heart efficiency of healthy people JXL avg , it indicates that the heart is healthy and functioning well, so you should maintain good living and exercise habits.

[0028] In the cardiology vital sign data processing system of the present embodiment, the calculation of the heart efficiency evaluation unit depends on the results of the heart health status measurement unit and the heart function status evaluation unit. At the same time, the evaluation results of the dynamic heart efficiency index DXL also have a feedback effect on the monitoring and evaluation of the heart rate variability index XB. Specifically, when the dynamic heart efficiency index DXL value is low, it indicates that the efficiency of the heart under a given workload is low, which is related to the reduction of the heart rate variability index XB. At this time, the doctor can pay attention to the changing trend of the heart rate variability index XB and take corresponding measures to improve the heart rate variability index XB value, such as adjusting the lifestyle and optimizing drug treatment. With the improvement of the heart rate variability index XB value, the autonomic nervous function of the heart is improved, thereby promoting the improvement of the dynamic heart efficiency index DXL value. This cyclical influence helps to form a closed-loop monitoring and evaluation system to promote the comprehensive management and continuous improvement of heart health.

[0029] In summary, in the specific implementation process, the dynamic heart efficiency index DXL can be used as one of the auxiliary indicators for the diagnosis of cardiovascular diseases. By comparing the dynamic heart efficiency index DXL values ​​of patients and healthy people, doctors can preliminarily determine whether the patients have abnormal heart function. For patients with confirmed cardiovascular disease, the dynamic heart efficiency index DXL can be used to assess the severity and progression of their disease. As the disease progresses, the patient's dynamic heart efficiency index DXL value will change, reflecting the deterioration and improvement of their heart function. During the treatment process, the changes in the dynamic heart efficiency index DXL can be used as one of the monitoring indicators of the treatment effect. By regularly monitoring the patient's dynamic heart efficiency index DXL, doctors can evaluate the effectiveness of the treatment plan and adjust the treatment plan accordingly to optimize the treatment effect. For patients who need exercise rehabilitation, the dynamic heart efficiency index DXL can be used to guide their choice of exercise intensity and exercise method. By monitoring the changes in the dynamic heart efficiency index DXL of patients under different exercise loads, doctors can develop personalized exercise rehabilitation plans for them to improve heart function and overall health.

[0030] For example 2, please refer to Figures 1 to 3 , the average heart efficiency of healthy people JXL avg Based on the collection of human body sign data from x healthy volunteers and the data processing, the average heart efficiency of healthy people is JXL avg The calculation formula is as follows; JXL avg =(JXL1+JXL2+JXL3+......+JXL x ) / x; x is the total number of volunteers; JXL1+JXL2+JXL3+......+JXL x The sum of the cardiac efficiency of the healthy population of x volunteers was calculated.

[0031] In this embodiment, the hospital needs to recruit and screen x volunteers who meet the standard physical signs of healthy people, collect the physical sign information of x volunteers, and obtain the average physical sign data of x volunteers, that is, the average heart efficiency of healthy people JXL avg , which helps to ensure the accuracy and rigor of the data. During the collection process, the personal information of the volunteers needs to be kept strictly confidential; By comparing the patients' dynamic heart efficiency index DXL with the average heart efficiency JXL of healthy people avg Doctors can preliminarily judge whether patients have abnormal heart function. The dynamic heart efficiency index DXL is a quantitative indicator of heart function. Its abnormal changes often indicate the presence and potential risk of heart disease. Combined with other clinical information, the comparison of the dynamic heart efficiency index DXL value can further improve the accuracy and reliability of heart disease diagnosis. For patients with confirmed cardiovascular disease, the dynamic heart efficiency index DXL is compared with the average heart efficiency of healthy people JXL avg The degree of difference can reflect the severity of the disease. Compared with healthy people, the significantly lower value of the patient's dynamic heart efficiency index DXL means that the heart function is more seriously impaired. In epidemiological studies, the dynamic heart efficiency index DXL of different populations is compared with the average heart efficiency JXL of healthy people. avg It can reveal the occurrence, development and prognosis of heart disease and provide a scientific basis for formulating prevention and treatment strategies. In addition, in basic medical research, the comparison of dynamic cardiac efficiency index DXL values ​​helps to reveal the physiological and pathological mechanisms of cardiac function and provide an experimental basis for the development of new treatments and drugs.

[0032] Although embodiments of the present invention have been shown and described, it will be appreciated by those skilled in the art that various changes, modifications, substitutions and variations can be made to the embodiments without departing from the principles and spirit of the present invention, and the scope of the present invention is defined by the appended claims and their equivalents.

Claims

1. A vital sign data processing system, characterized in that: The specific data processing steps are as follows:

1. Use the data acquisition module to collect the patient's physiological data of heart rate, blood pressure, and cardiac output in real time; Second, the collected physiological data is substituted into the data analysis and processing module to calculate and output the heart rate variability index XB, the cardiac workload assessment index XFZ and the dynamic cardiac efficiency index DXL, and statistical analysis and trend prediction are performed based on the result value of the dynamic cardiac efficiency index DXL; Wherein, the data analysis and processing module includes a heart health status measurement unit, a heart function status evaluation unit and a heart efficiency evaluation unit; 3. Using the data storage and access control module, the collected physiological data as well as the heart rate variability index XB, the cardiac workload assessment index XFZ and the dynamic cardiac efficiency index DXL are encrypted, stored and securely backed up; 4. Use the data security module to regularly conduct security audits and vulnerability scans on the system.

2. A vital sign data processing system according to claim 1, characterized in that: The equipment used in the data acquisition module includes an electrocardiogram sensor, a sphygmomanometer, a cardiac output monitor and a data acquisition device; The equipment used in the data analysis and processing module includes a server and data processing software; The devices used in the data storage and access control module include storage devices, key management systems and security authentication devices; The equipment used by the data security module includes security audit tools and vulnerability scanners.

3. A vital sign data processing system according to claim 2, characterized in that: The calculation formula for measuring the heart health status unit is as follows: ； XJ avg =(XJ1+XJ2+XJ3+......+XJ n ) / N: in: XB is the heart rate variability index; N is the total number of heartbeat intervals, which reflects the total number of time intervals between all two adjacent heartbeats during the vital sign monitoring period; XJ i is the ith heartbeat interval index, XJ i Reflects the time interval between two adjacent heartbeats; XJ avg is the average heartbeat interval; The i-th heartbeat interval index XJ i It refers to the time interval between two adjacent heartbeat wave vertices on the electrocardiogram, which directly reflects the heartbeat cycle. By measuring and analyzing the i-th heartbeat interval index XJ i to assess the regulatory function of the cardiac autonomic nervous system; The cardiac autonomic nervous system includes the sympathetic nervous system and the parasympathetic nervous system, which jointly regulate the rhythm and rate of the heart. The heart rate variability index XB is calculated by quantifying the i-th heartbeat interval index XJ i The variability of the nervous system reflects the balance between the sympathetic and parasympathetic nervous systems.

4. A vital sign data processing system according to claim 3, characterized in that: The calculation formula of the cardiac function status evaluation unit is as follows: XFZ=(XL avg ×SY avg ) / (XB+1+SY var +SXL avg )×100% ； AND avg =(SY1+SY2+SY3+......+SY m ) / M; in: XFZ is the cardiac workload assessment index; XL avg is the average heart rate; M is the total number of measurements; SY k is the systolic blood pressure index measured at the kth time; SXL avg is the mean cardiac output index, SXL avg Reflects the average amount of blood pumped by the heart per minute; Mean systolic blood pressure index SY var It refers to the degree to which the systolic blood pressure value fluctuates around its mean value within a certain period of time. This variability is quantified by calculating the standard deviation and variance of the systolic blood pressure values ​​measured multiple times over a period of time. It reflects the regulatory ability of the autonomic nervous system on the cardiovascular system, as well as the responsiveness and compliance of blood vessels to pressure changes. Mean cardiac output index SXL avg It is closely related to the body's supply of oxygen and nutrients and the removal of metabolic products; The heart rate variability index XB is a component of the cardiac function status evaluation unit and reflects the cardiac workload together with other indicators. The addition of the heart rate variability index XB makes the evaluation of cardiac workload not only dependent on the average heart rate XL. avg , mean cardiac output index SXL avg It is not an indicator, but a comprehensive consideration of heart rate variability, a dimension that reflects the heart's autonomic regulatory ability.

5. A vital sign data processing system according to claim 4, characterized in that: The calculation formula of the cardiac efficiency evaluation unit is as follows: DXL=XB 2 / (XFZ+XL avg ×C); in: DXL is the dynamic cardiac efficiency index; C is the adjustment factor, which is used to balance the average heart rate index XL avg The degree of impact on the dynamic cardiac efficiency index DXL; XB 2 The calculations in this unit are designed to emphasize the importance of heart rate variability and reflect its role in the assessment of cardiac efficiency; The evaluation process of the cardiac efficiency evaluation unit is as follows; The heart workload evaluation index XFZ output by the heart function status evaluation unit, the heart rate variability index XB output by the heart health status measurement unit, and the average heart rate index XL are combined. avg And the adjustment coefficient C is used to evaluate the efficiency of the heart under different workloads, which is the dynamic heart efficiency index DXL output by this unit.

6. A vital sign data processing system according to claim 5, characterized in that: The impact and measure adjustment steps based on the dynamic heart efficiency index DXL output by the heart efficiency evaluation unit are as follows: S1, extracting the dynamic heart efficiency index DXL of healthy people from the data storage module, that is, the average heart efficiency JXL of healthy people avg ; S2. If the dynamic heart efficiency index DXL is greater than the average heart efficiency JXL of healthy people avg , it indicates that the cardiac autonomic nervous system functions well and the cardiovascular system is healthy. The workload should be appropriately reduced, rest time should be increased, and the heart should be prevented from being in a high-load state for a long time. S3. If the dynamic heart efficiency index DXL is less than the average heart efficiency JXL of healthy people avg , it means that under a given workload, the efficiency of the heart is low and cannot fully meet the body's needs. Appropriate exercise and the use of relevant drugs to improve heart function and autonomic nervous system function should be carried out, as well as improving eating habits, reducing stress, and ensuring adequate sleep. S4. If the dynamic heart efficiency index DXL is equal to the average heart efficiency of healthy people JXL avg , it indicates that the heart is healthy and functioning well, so you should maintain good living and exercise habits.

7. A vital sign data processing system according to claim 6, characterized in that: The average heart efficiency of healthy people JXL avg Based on the collection of human body sign data from x healthy volunteers and the data processing, the average heart efficiency of healthy people is JXL avg The calculation formula is as follows; JXL avg =(JXL1+JXL2+JXL3+......+JXL x ) / x; x is the total number of volunteers; JXL1+JXL2+JXL3+......+JXL x The sum of the cardiac efficiency of the healthy population of x volunteers was calculated.

8. A vital sign data processing system according to claim 1, characterized in that: The relevant data collected and processed by the data collection module and the data analysis and processing module are all stored in the storage device, and the data stored in the storage device is regularly replaced and distributed by the key management system, and finally the security authentication device is used to perform security authentication for accessing and extracting data.

9. A vital sign data processing system according to claim 8, characterized in that: The key that is regularly replaced by the key management system is the Advanced Encryption Standard.

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