Monitoring, regulating and controlling system and method for anesthesia intubation

Abstract

The invention relates to the technical field of monitoring, regulation and control of anesthesia cannulas, in particular to monitoring, regulation and control and a method for anesthesia cannulas. The method comprises the following steps: acquiring anesthesia cannula monitoring data and pathological data of a patient under current anesthesia cannula gas parameters in a monitoring time period, analyzing the pathological data to obtain a physical state basic index of the patient, and analyzing blood gas monitoring data to obtain a respiratory cycle function state index of the patient; analyzing the neuromuscular block monitoring data to obtain a neuromuscular block state index of the patient, and analyzing the vital sign monitoring data to obtain a vital sign state index of the patient; and adjusting the current anesthesia intubation gas parameters based on the physical state basic index, the respiratory cycle function state index, the neuromuscular block state index and the vital sign state index. By monitoring the vital signs and the anesthesia depth of the patient in real time, abnormal conditions are found and processed in time, and risks in the anesthesia intubation process are reduced.

Description

Technical Field

[0001] The present invention relates to the technical field of anesthesia intubation monitoring and control, and in particular to a monitoring, control and method for anesthesia intubation. Background Art

[0002] In modern medical practice, anesthesia intubation is a key step in general anesthesia surgery, requiring doctors to quickly and accurately complete endotracheal intubation after the patient loses consciousness to ensure respiratory support and ventilation safety during surgery. However, there are many potential risks in the anesthesia intubation process, such as aspiration, laryngeal spasm, bronchospasm, cardiovascular reactions, etc., which may endanger the patient's life safety.

[0003] Traditional anesthesia intubation monitoring methods mainly rely on manual observation and experience judgment of medical staff. This method has the disadvantages of strong subjectivity, slow response, and incomplete monitoring, making it difficult to achieve real-time and accurate monitoring of patients' vital signs. In addition, there is a lack of precise control methods for the dosage and timing of anesthetic drugs, which can easily lead to too deep or too shallow anesthesia, affecting the surgical effect and patient prognosis.

[0004] In order to overcome the above technical defects, monitoring and control and methods for anesthesia intubation are urgently needed to solve the above problems. Summary of the invention

[0005] The purpose of the present invention is to provide a monitoring and control method for anesthesia intubation: to solve the existing solution that the traditional anesthesia intubation monitoring method mainly relies on the manual observation and experience judgment of medical staff, and has the disadvantages of strong subjectivity, slow response speed, incomplete monitoring, etc., and it is difficult to achieve real-time and accurate monitoring of patients' vital signs.

[0006] The purpose of the present invention can be achieved by the following technical solutions:

[0007] On the one hand, a monitoring and control system for anesthesia intubation, the system includes an anesthesia intubation data acquisition module, an anesthesia intubation data analysis module and an anesthesia intubation control module;

[0008] An anesthesia intubation data acquisition module is used to generate a monitoring cycle and divide the monitoring cycle into several monitoring time periods, and obtain the anesthesia intubation monitoring data and pathological data of the patient under the current anesthesia intubation gas parameters within the monitoring time period, wherein the anesthesia intubation gas parameters include the anesthesia gas flow rate and the oxygen gas flow rate, and the anesthesia intubation monitoring data includes the blood gas monitoring data, the neuromuscular blockade monitoring data and the vital signs monitoring data;

[0009] Anesthesia intubation data analysis module, used to analyze pathological data to obtain the patient's physical condition basic index, analyze blood gas monitoring data to obtain the patient's respiratory and circulatory function status index, analyze neuromuscular blockade monitoring data to obtain the patient's neuromuscular blockade status index, and analyze vital sign monitoring data to obtain the patient's vital sign status index;

[0010] The anesthesia intubation control module is used to adjust the current anesthesia intubation gas parameters based on the basic body state index, respiratory and circulatory function state index, neuromuscular blockade state index and vital sign state index, and control the anesthesia gas flow and oxygen gas flow through the throttle valve control matrix based on the adjusted anesthesia intubation gas parameters.

[0011] Furthermore, the pathological data is analyzed to obtain the basic index of the patient's physical condition, which specifically includes the following processes:

[0012] Based on the pathological data, the patient's age and gender are obtained, and the baseline age is obtained. The difference A between the patient's age and the baseline age is calculated to determine whether the patient's gender is female. If so, the patient's corresponding physical condition basic coefficient B is 0. If not, the patient's corresponding physical condition basic coefficient B is 1, where the baseline risk age is set by the system;

[0013] Based on the pathological data, the patient's respiratory rate is obtained, the baseline respiratory rate is obtained, and the ratio C of the patient's respiratory rate to the baseline respiratory rate is calculated, wherein the baseline respiratory rate is set by the system;

[0014] Obtaining the patient's nutritional intake capacity value based on the pathological data, obtaining a reference nutritional intake capacity value, and calculating a difference D between the nutritional intake capacity value and the reference nutritional intake capacity value, wherein the reference nutritional intake capacity value is set by the system;

[0015] Based on the pathological data, the unit hemoglobin content of the patient is obtained, the benchmark unit hemoglobin content is obtained, and the ratio E of the unit hemoglobin content to the benchmark unit hemoglobin content is calculated, wherein the benchmark unit hemoglobin content is set by the system;

[0016] Substitute the difference A, the basic coefficient of physical condition B, the ratio C, the difference D and the ratio E into the basic index calculation formula of the patient's physical condition to obtain the basic index STZ of the patient's physical condition. The calculation formula is as follows:

[0017]

[0018] Among them, α and β are weight coefficients, whose values ​​are 0.6 and 0.4 respectively, and the value of e is 2.72.

[0019] Furthermore, the analysis of the blood gas monitoring data to obtain the patient's respiratory and circulatory function status index specifically includes the following process:

[0020] The arterial oxygen partial pressure, arterial carbon dioxide partial pressure and blood pH value in the blood gas monitoring data within the monitoring period are detected in real time, and three rectangular coordinate systems are established with the execution time of the monitoring period as the X-axis and the arterial oxygen partial pressure, arterial carbon dioxide partial pressure and blood pH value as the Y-axis respectively. Three respiratory and circulatory function status curves of the management period are drawn in the rectangular coordinate system by the arterial oxygen partial pressure, arterial carbon dioxide partial pressure and blood pH value. The two end points of the three respiratory and circulatory function status curves are perpendicular to the X-axis to obtain six truncation line segments. The respiratory and circulatory function status curves, the six truncation line segments and the X-axis constitute three state graphs, and the area value of the state graph is marked as the patient's respiratory and circulatory function state index.

[0021] Furthermore, parsing the neuromuscular blockade monitoring data to obtain the patient's neuromuscular blockade state index specifically includes the following process:

[0022] Based on the neuromuscular blockade monitoring data, the ratio of the fourth muscle twitch to the first muscle twitch after four trains of stimulation of the neuromuscular peripheral nerve was obtained, and the ratio was recorded as the neuromuscular blockade state index.

[0023] Furthermore, parsing the vital sign monitoring data to obtain the patient's vital sign status index specifically includes the following process:

[0024] Based on the vital sign monitoring data, the electrocardiogram of the patient within the monitoring period is obtained to determine whether the electrocardiogram of the patient is abnormal. If so, the vital sign status index is 0, and if not, the vital sign status index is 1;

[0025] Obtaining the blood pressure value within the monitoring period based on the vital signs monitoring data, determining whether the patient's blood pressure value is within the preset blood pressure value range, if so, the vital signs state index is 1, if not, the vital signs state index is 0;

[0026] The patient's body temperature during the monitoring period is obtained based on the vital signs monitoring data to determine whether the patient's body temperature is within the preset temperature range. If so, the vital signs status index is 1, otherwise, the vital signs status index is 0.

[0027] Further, adjusting the current anesthesia intubation gas parameters based on the basic body state index, the respiratory and circulatory function state index, the neuromuscular blockade state index and the vital sign state index specifically includes the following process:

[0028] The continuous anesthesia intubation index CTZ is calculated based on the basic physical status index and the vital signs status index:

[0029] CTZ=10e R -STZ;

[0030] Among them, STZ represents the basic index of the patient's physical condition, R represents the vital signs status index, and the value of e is 2.72;

[0031] Determine whether the continuous anesthesia intubation index CTZ exceeds the continuous anesthesia intubation threshold, if so, generate a continuous anesthesia intubation signal to maintain the patient's current anesthesia intubation state, if not, generate a cut-off anesthesia intubation signal to cut off the patient's current anesthesia intubation state;

[0032] While maintaining the patient's current anesthesia intubation state, if the respiratory and circulatory function state index exceeds the respiratory and circulatory function state index threshold, and the neuromuscular blockade state index exceeds the neuromuscular blockade state index threshold, the current anesthesia intubation gas parameters will not be adjusted; if the respiratory and circulatory function state index does not exceed the respiratory and circulatory function state index threshold, or the neuromuscular blockade state index does not exceed the neuromuscular blockade state index threshold, the current anesthesia intubation gas parameters will be adjusted.

[0033] Furthermore, adjusting the current anesthesia intubation gas parameters specifically includes:

[0034] The respiratory and circulatory function difference between the respiratory and circulatory function state index and the respiratory and circulatory function state index threshold is calculated, and the respiratory and circulatory function ratio of the respiratory and circulatory function difference to the respiratory and circulatory function state index threshold is calculated, and the respiratory and circulatory function ratio is recorded as the increase in oxygen gas flow;

[0035] The neuromuscular blockade difference between the neuromuscular blockade state index and the neuromuscular blockade state index threshold is calculated, and the neuromuscular blockade ratio of the neuromuscular blockade difference to the neuromuscular blockade state index threshold is calculated, and the neuromuscular blockade ratio is recorded as the increase in anesthetic gas flow;

[0036] The current anesthesia intubation gas parameters are obtained, and the oxygen gas flow increase, the anesthesia gas flow increase, and the current anesthesia intubation gas parameters are added to obtain the adjusted anesthesia intubation gas parameters.

[0037] Further, controlling the anesthetic gas flow rate and the oxygen gas flow rate through the throttle valve control matrix based on the adjusted anesthetic intubation gas parameters includes:

[0038] Wide range throttle valve control matrix: Coarsely adjust the anesthesia intubation gas within a large flow range, adjust the throttle valve opening according to the change of the input gas parameter vector, thereby changing the flow of the anesthesia intubation gas;

[0039] Narrow throttle valve control matrix: Compared with the wide throttle valve control matrix, the matrix pays more attention to fine-tuning within a small flow range to meet the precise requirements for anesthesia depth during surgery.

[0040] On the other hand, a monitoring and control method for anesthesia intubation, the method comprising:

[0041] Generate a monitoring cycle and divide the monitoring cycle into several monitoring periods, and obtain the anesthesia intubation monitoring data and pathological data of the patient under the current anesthesia intubation gas parameters within the monitoring period, wherein the anesthesia intubation gas parameters include anesthesia gas flow rate and oxygen gas flow rate, and the anesthesia intubation monitoring data include blood gas monitoring data, neuromuscular blockade monitoring data and vital sign monitoring data;

[0042] The pathological data is parsed to obtain the patient's basic physical condition index, the blood gas monitoring data is parsed to obtain the patient's respiratory and circulatory function status index, the neuromuscular blockade monitoring data is parsed to obtain the patient's neuromuscular blockade status index, and the vital sign monitoring data is parsed to obtain the patient's vital sign status index;

[0043] The current anesthesia intubation gas parameters are adjusted based on the basic body state index, respiratory and circulatory function state index, neuromuscular blockade state index and vital sign state index, and the anesthetic gas flow and oxygen gas flow are controlled through the throttle valve control matrix based on the adjusted anesthesia intubation gas parameters.

[0044] Compared with the existing solutions, the present invention achieves the following beneficial effects:

[0045] Improve safety: By real-time monitoring of patients' vital signs and anesthesia depth, abnormal situations can be detected and handled promptly, reducing the risks during anesthesia intubation.

[0046] Improve accuracy: Integrate multiple physiological parameter monitoring modules to achieve integrated data analysis and intelligent regulation, and improve the accuracy and reliability of monitoring results.

[0047] Improve efficiency: Automatically control the dosage and infusion rate of anesthetic drugs, reduce the workload of medical staff, and improve the efficiency of the anesthesia intubation process.

[0048] Personalized treatment: Provide personalized anesthesia treatment plans based on individual differences and surgical needs of patients to optimize anesthesia effects. BRIEF DESCRIPTION OF THE DRAWINGS

[0049] In order to more clearly illustrate the embodiments of the present application or the technical solutions in the prior art, the drawings required for use in the embodiments will be briefly introduced below. Obviously, the drawings described below are only some embodiments recorded in the present invention. For ordinary technicians in this field, other drawings can also be obtained based on these drawings.

[0050] Figure 1 is a system block diagram of a monitoring and control system for anesthesia intubation according to an embodiment of the present invention;

[0051] Figure 2 This is a workflow diagram of a monitoring and control system for anesthesia intubation according to an embodiment of the present invention;

[0052] Figure 3 The present invention is a flowchart of a monitoring and control method for anesthesia intubation according to an embodiment of the present invention. DETAILED DESCRIPTION

[0053] 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.

[0054] In addition, the described features, structures or characteristics may be combined in one or more example embodiments in any suitable manner. In the following description, many specific details are provided to provide a full understanding of the example embodiments of the present disclosure. However, those skilled in the art will appreciate that the technical solutions of the present disclosure may be practiced while omitting one or more of the specific details, or other methods, components, steps, etc. may be adopted. In other cases, well-known structures, methods, implementations or operations are not shown or described in detail to avoid obscuring various aspects of the present disclosure.

[0055] This embodiment provides a monitoring and control system for anesthesia intubation. Figure 1 is a system block diagram of a monitoring and control system for anesthesia intubation according to an embodiment of the present invention, such as Figure 1 As shown, the system includes an anesthesia intubation data acquisition module, an anesthesia intubation data analysis module and an anesthesia intubation control module;

[0056] An anesthesia intubation data acquisition module is used to generate a monitoring cycle and divide the monitoring cycle into several monitoring time periods, and obtain the anesthesia intubation monitoring data and pathological data of the patient under the current anesthesia intubation gas parameters within the monitoring time period, wherein the anesthesia intubation gas parameters include the anesthesia gas flow rate and the oxygen gas flow rate, and the anesthesia intubation monitoring data includes the blood gas monitoring data, the neuromuscular blockade monitoring data and the vital signs monitoring data;

[0057] Anesthesia intubation data analysis module, used to analyze pathological data to obtain the patient's physical condition basic index, analyze blood gas monitoring data to obtain the patient's respiratory and circulatory function status index, analyze neuromuscular blockade monitoring data to obtain the patient's neuromuscular blockade status index, and analyze vital sign monitoring data to obtain the patient's vital sign status index;

[0058] The anesthesia intubation control module is used to adjust the current anesthesia intubation gas parameters based on the basic body state index, respiratory and circulatory function state index, neuromuscular blockade state index and vital sign state index, and control the anesthesia gas flow and oxygen gas flow through the throttle valve control matrix based on the adjusted anesthesia intubation gas parameters.

[0059] In summary, the present invention obtains the anesthesia intubation monitoring data and pathological data of the patient under the current anesthesia intubation gas parameters during the monitoring period, analyzes the pathological data to obtain the patient's physical state basic index, analyzes the blood gas monitoring data to obtain the patient's respiratory and circulatory function state index, analyzes the neuromuscular blockade monitoring data to obtain the patient's neuromuscular blockade state index, analyzes the vital signs monitoring data to obtain the patient's vital signs state index, adjusts the current anesthesia intubation gas parameters based on the physical state basic index, respiratory and circulatory function state index, neuromuscular blockade state index and vital signs state index, and controls the anesthetic gas flow and oxygen gas flow through the throttle valve control matrix based on the adjusted anesthesia intubation gas parameters. The present invention monitors the patient's vital signs and anesthesia depth in real time, promptly discovers and handles abnormal situations, and reduces the risk during anesthesia intubation; integrates multiple physiological parameter monitoring modules to realize data integration analysis and intelligent control, and improves the accuracy and reliability of monitoring results; automatically controls the dosage and infusion rate of anesthetic drugs, reduces the workload of medical staff, and improves the efficiency of anesthesia intubation process.

[0060] In some embodiments, Figure 2 FIG. 1 is a flow chart of a monitoring and control system for anesthesia intubation according to an embodiment of the present invention. Figure 2 As shown, parsing the pathological data to obtain the patient's basic physical condition index specifically includes the following steps:

[0061] Step S201: Based on the pathological data, the patient's age and gender are obtained, and the reference age is obtained, and the difference A between the patient's age and the reference age is calculated to determine whether the patient's gender is female. If so, the patient's corresponding body condition basic coefficient B is 0, and if not, the patient's corresponding body condition basic coefficient B is 1, wherein the reference risk age is set by the system;

[0062] Step S202: obtaining the patient's respiratory frequency based on the pathological data, obtaining a reference respiratory frequency, and calculating a ratio C of the patient's respiratory frequency to the reference respiratory frequency, wherein the reference respiratory frequency is set by the system;

[0063] Step S203: obtaining the patient's nutritional intake capacity value based on the pathological data, obtaining a reference nutritional intake capacity value, and calculating a difference D between the nutritional intake capacity value and the reference nutritional intake capacity value, wherein the reference nutritional intake capacity value is set by the system;

[0064] Step S204: obtaining the patient's unit hemoglobin content based on the pathological data, obtaining the reference unit hemoglobin content, and calculating the ratio E of the unit hemoglobin content to the reference unit hemoglobin content, wherein the reference unit hemoglobin content is set by the system;

[0065] Step S205: Substitute the difference A, the basic body condition coefficient B, the ratio C, the difference D and the ratio E into the basic body condition index calculation formula of the patient to obtain the basic body condition index STZ of the patient. The calculation formula is as follows:

[0066]

[0067] Among them, α and β are weight coefficients, whose values ​​are 0.6 and 0.4 respectively, and the value of e is 2.72.

[0068] In some embodiments, parsing the blood gas monitoring data to obtain the patient's respiratory and circulatory function status index specifically includes the following process:

[0069] The arterial oxygen partial pressure, arterial carbon dioxide partial pressure and blood pH value in the blood gas monitoring data within the monitoring period are detected in real time, and three rectangular coordinate systems are established with the execution time of the monitoring period as the X-axis and the arterial oxygen partial pressure, arterial carbon dioxide partial pressure and blood pH value as the Y-axis respectively. Three respiratory and circulatory function status curves of the management period are drawn in the rectangular coordinate system by the arterial oxygen partial pressure, arterial carbon dioxide partial pressure and blood pH value. The two end points of the three respiratory and circulatory function status curves are perpendicular to the X-axis to obtain six truncation line segments. The respiratory and circulatory function status curves, the six truncation line segments and the X-axis constitute three state graphs, and the area value of the state graph is marked as the patient's respiratory and circulatory function state index.

[0070] In some embodiments, parsing the neuromuscular blockade monitoring data to obtain the patient's neuromuscular blockade state index specifically includes the following process:

[0071] Based on the neuromuscular blockade monitoring data, the ratio of the fourth twitch amplitude to the first twitch amplitude after four trains of stimulation of the neuromuscular peripheral nerve was obtained, and the ratio was recorded as the neuromuscular blockade state index.

[0072] It is worth mentioning that the recovery of neuromuscular conduction function is evaluated by comparing the amplitude of the fourth muscle twitch with the amplitude of the first muscle twitch in the four-train stimulation.

[0073] During the application of muscle relaxants, neuromuscular function is monitored using a peripheral nerve stimulator. A train of four stimulations consists of four single stimulations at a frequency of 2 Hz, with an interval of 10 to 12 seconds between each stimulation. Due to the partial muscle relaxation caused by non-depolarizing muscle relaxants, the train of four stimulations may be attenuated. By measuring the ratio of the amplitude of the fourth muscle twitch to the amplitude of the first muscle twitch, the degree of neuromuscular blockade and recovery can be objectively evaluated.

[0074] In some embodiments, parsing the vital sign monitoring data to obtain the patient's vital sign status index specifically includes the following process:

[0075] Based on the vital sign monitoring data, the electrocardiogram of the patient within the monitoring period is obtained to determine whether the electrocardiogram of the patient is abnormal. If so, the vital sign status index is 0, and if not, the vital sign status index is 1;

[0076] Obtaining the blood pressure value within the monitoring period based on the vital signs monitoring data, determining whether the patient's blood pressure value is within the preset blood pressure value range, if so, the vital signs state index is 1, if not, the vital signs state index is 0;

[0077] The patient's body temperature during the monitoring period is obtained based on the vital signs monitoring data to determine whether the patient's body temperature is within the preset temperature range. If so, the vital signs status index is 1, otherwise, the vital signs status index is 0.

[0078] In some embodiments, adjusting the current anesthesia intubation gas parameters based on the body state basic index, the respiratory and circulatory function state index, the neuromuscular blockade state index, and the vital sign state index specifically includes the following process:

[0079] The continuous anesthesia intubation index CTZ is calculated based on the basic physical status index and the vital signs status index:

[0080] CTZ=10e R -STZ;

[0081] Among them, STZ represents the basic index of the patient's physical condition, R represents the vital signs status index, and the value of e is 2.72;

[0082] Determine whether the continuous anesthesia intubation index CTZ exceeds the continuous anesthesia intubation threshold, if so, generate a continuous anesthesia intubation signal to maintain the patient's current anesthesia intubation state, if not, generate a cut-off anesthesia intubation signal to cut off the patient's current anesthesia intubation state;

[0083] While maintaining the patient's current anesthesia intubation state, if the respiratory and circulatory function state index exceeds the respiratory and circulatory function state index threshold, and the neuromuscular blockade state index exceeds the neuromuscular blockade state index threshold, the current anesthesia intubation gas parameters will not be adjusted; if the respiratory and circulatory function state index does not exceed the respiratory and circulatory function state index threshold, or the neuromuscular blockade state index does not exceed the neuromuscular blockade state index threshold, the current anesthesia intubation gas parameters will be adjusted.

[0084] In some embodiments, adjusting the current anesthesia intubation gas parameters specifically includes:

[0085] The respiratory and circulatory function difference between the respiratory and circulatory function state index and the respiratory and circulatory function state index threshold is calculated, and the respiratory and circulatory function ratio of the respiratory and circulatory function difference to the respiratory and circulatory function state index threshold is calculated, and the respiratory and circulatory function ratio is recorded as the increase in oxygen gas flow;

[0086] The neuromuscular blockade difference between the neuromuscular blockade state index and the neuromuscular blockade state index threshold is calculated, and the neuromuscular blockade ratio of the neuromuscular blockade difference to the neuromuscular blockade state index threshold is calculated, and the neuromuscular blockade ratio is recorded as the increase in anesthetic gas flow;

[0087] The current anesthesia intubation gas parameters are obtained, and the oxygen gas flow increase, the anesthesia gas flow increase, and the current anesthesia intubation gas parameters are added to obtain the adjusted anesthesia intubation gas parameters.

[0088] Further, controlling the anesthetic gas flow rate and the oxygen gas flow rate through the throttle valve control matrix based on the adjusted anesthetic intubation gas parameters includes:

[0089] Wide range throttle valve control matrix: Coarsely adjust the anesthesia intubation gas within a large flow range, adjust the throttle valve opening according to the change of the input gas parameter vector, thereby changing the flow of the anesthesia intubation gas;

[0090] Narrow throttle valve control matrix: Compared with the wide throttle valve control matrix, the matrix pays more attention to fine-tuning within a small flow range to meet the precise requirements for anesthesia depth during surgery.

[0091] In some embodiments, Figure 3 FIG. 1 is a flow chart of a monitoring and control method for anesthesia intubation according to an embodiment of the present invention, such as Figure 3 As shown, the method comprises the following steps:

[0092] Step S301: Generate a monitoring cycle and divide the monitoring cycle into several monitoring time periods, and obtain the anesthesia intubation monitoring data and pathological data of the patient under the current anesthesia intubation gas parameters within the monitoring time period, wherein the anesthesia intubation gas parameters include anesthesia gas flow rate and oxygen gas flow rate, and the anesthesia intubation monitoring data includes blood gas monitoring data, neuromuscular blockade monitoring data and vital sign monitoring data;

[0093] Step S302: Analyze the pathological data to obtain the patient's physical condition basic index, analyze the blood gas monitoring data to obtain the patient's respiratory and circulatory function state index, analyze the neuromuscular blockade monitoring data to obtain the patient's neuromuscular blockade state index, and analyze the vital sign monitoring data to obtain the patient's vital sign state index;

[0094] Step S303: adjusting the current anesthesia intubation gas parameters based on the basic body state index, respiratory and circulatory function state index, neuromuscular blockade state index and vital sign state index, and controlling the anesthesia gas flow and oxygen gas flow through the throttle valve control matrix based on the adjusted anesthesia intubation gas parameters.

[0095] The above embodiments can be implemented in whole or in part by software, hardware, firmware or any other combination. When implemented by software, the above embodiments can be implemented in whole or in part in the form of a computer program product. The computer program product includes one or more computer instructions or computer programs. When the computer instructions or computer programs are loaded or executed on a computer, the process or function described in the embodiment of the present application is generated in whole or in part. The computer can be a general-purpose computer, a special-purpose computer, a computer network, or other programmable device. The computer instructions can be stored in a computer-readable storage medium, or transmitted from one computer-readable storage medium to another computer-readable storage medium. For example, the computer instructions can be transmitted from one website site, computer, server or data center to another website site, computer, server or data center by wired (e.g., infrared, wireless, microwave, etc.). The computer-readable storage medium can be any available medium that a computer can access or a data storage device such as a server or data center that contains one or more available media sets. The available medium can be a magnetic medium (e.g., a floppy disk, a hard disk, a tape), an optical medium (e.g., a DVD), or a semiconductor medium. The semiconductor medium can be a solid-state hard disk.

[0096] Those of ordinary skill in the art will appreciate that the units and algorithm steps of each example described in conjunction with the embodiments disclosed herein can be implemented in electronic hardware, or a combination of computer software and electronic hardware. Whether these functions are performed in hardware or software depends on the specific application and design constraints of the technical solution. Professional and technical personnel can use different methods to implement the described functions for each specific application, but such implementation should not be considered to be beyond the scope of this application.

[0097] Those skilled in the art can clearly understand that, for the convenience and brevity of description, the specific working processes of the systems, devices and units described above can refer to the corresponding processes in the aforementioned method embodiments and will not be repeated here.

[0098] In the several embodiments provided in the present application, it should be understood that the disclosed systems, devices and methods can be implemented in other ways. For example, the device embodiments described above are only schematic. For example, the division of the units is only some logical function divisions. There may be other division methods in actual implementation, such as multiple units or components can be combined or integrated into another system, or some features can be ignored or not executed. Another point is that the mutual coupling or direct coupling or communication connection shown or discussed can be through some interfaces, indirect coupling or communication connection of devices or units, which can be electrical, mechanical or other forms.

[0099] The units described as separate components may or may not be physically separated, and the components shown as units may or may not be physical units, that is, they may be located in one place or distributed on multiple network units. Some or all of the units may be selected according to actual needs to achieve the purpose of the solution of this embodiment.

[0100] The above is only a specific implementation of the present application, but the protection scope of the present application is not limited thereto. Any person skilled in the art who is familiar with the present technical field can easily think of changes or substitutions within the technical scope disclosed in the present application, which should be included in the protection scope of the present application. Therefore, the protection scope of the present application should be based on the protection scope of the claims.

Claims

1. A monitoring and control system for anesthesia intubation, characterized in that: The system includes an anesthesia intubation data acquisition module, an anesthesia intubation data analysis module and an anesthesia intubation control module; An anesthesia intubation data acquisition module is used to generate a monitoring cycle and divide the monitoring cycle into several monitoring time periods, and obtain the anesthesia intubation monitoring data and pathological data of the patient under the current anesthesia intubation gas parameters within the monitoring time period, wherein the anesthesia intubation gas parameters include the anesthesia gas flow rate and the oxygen gas flow rate, and the anesthesia intubation monitoring data includes the blood gas monitoring data, the neuromuscular blockade monitoring data and the vital signs monitoring data; Anesthesia intubation data analysis module, used to analyze pathological data to obtain the patient's physical condition basic index, analyze blood gas monitoring data to obtain the patient's respiratory and circulatory function status index, analyze neuromuscular blockade monitoring data to obtain the patient's neuromuscular blockade status index, and analyze vital sign monitoring data to obtain the patient's vital sign status index; The anesthesia intubation control module is used to adjust the current anesthesia intubation gas parameters based on the basic body state index, respiratory and circulatory function state index, neuromuscular blockade state index and vital sign state index, and control the anesthesia gas flow and oxygen gas flow through the throttle valve control matrix based on the adjusted anesthesia intubation gas parameters.

2. The monitoring and control system for anesthesia intubation according to claim 1, characterized in that: The analysis of pathological data to obtain the basic index of the patient's physical condition specifically includes the following processes: Based on the pathological data, the patient's age and gender are obtained, and the baseline age is obtained. The difference A between the patient's age and the baseline age is calculated to determine whether the patient's gender is female. If so, the patient's corresponding physical condition basic coefficient B is 0. If not, the patient's corresponding physical condition basic coefficient B is 1, where the baseline risk age is set by the system; Based on the pathological data, the patient's respiratory rate is obtained, the baseline respiratory rate is obtained, and the ratio C of the patient's respiratory rate to the baseline respiratory rate is calculated, wherein the baseline respiratory rate is set by the system; Obtaining the patient's nutritional intake capacity value based on the pathological data, obtaining a reference nutritional intake capacity value, and calculating a difference D between the nutritional intake capacity value and the reference nutritional intake capacity value, wherein the reference nutritional intake capacity value is set by the system; Based on the pathological data, the unit hemoglobin content of the patient is obtained, the benchmark unit hemoglobin content is obtained, and the ratio E of the unit hemoglobin content to the benchmark unit hemoglobin content is calculated, wherein the benchmark unit hemoglobin content is set by the system; Substitute the difference A, the basic coefficient of physical condition B, the ratio C, the difference D and the ratio E into the basic index calculation formula of the patient's physical condition to obtain the basic index STZ of the patient's physical condition. The calculation formula is as follows: Among them, α and β are weight coefficients, whose values ​​are 0.6 and 0.4 respectively, and the value of e is 2.

72.

3. The monitoring and control system for anesthesia intubation according to claim 1, characterized in that: The analysis of blood gas monitoring data to obtain the patient's respiratory and circulatory function status index specifically includes the following processes: The arterial oxygen partial pressure, arterial carbon dioxide partial pressure and blood pH value in the blood gas monitoring data within the monitoring period are detected in real time, and three rectangular coordinate systems are established with the execution time of the monitoring period as the X-axis and the arterial oxygen partial pressure, arterial carbon dioxide partial pressure and blood pH value as the Y-axis respectively. Three respiratory and circulatory function status curves of the management period are drawn in the rectangular coordinate system by the arterial oxygen partial pressure, arterial carbon dioxide partial pressure and blood pH value. The two end points of the three respiratory and circulatory function status curves are perpendicular to the X-axis to obtain six truncation line segments. The respiratory and circulatory function status curves, the six truncation line segments and the X-axis constitute three state graphs, and the area value of the state graph is marked as the patient's respiratory and circulatory function state index.

4. The monitoring and control system for anesthesia intubation according to claim 1, characterized in that: The analysis of neuromuscular blockade monitoring data to obtain the patient's neuromuscular blockade status index specifically includes the following processes: Based on the neuromuscular blockade monitoring data, the ratio of the fourth twitch amplitude to the first twitch amplitude after four trains of stimulation of the neuromuscular peripheral nerve was obtained, and the ratio was recorded as the neuromuscular blockade state index.

5. The monitoring and control system for anesthesia intubation according to claim 1, characterized in that: Parsing the vital signs monitoring data to obtain the patient's vital signs status index specifically includes the following processes: Based on the vital sign monitoring data, the electrocardiogram of the patient within the monitoring period is obtained to determine whether the electrocardiogram of the patient is abnormal. If so, the vital sign status index is 0, and if not, the vital sign status index is 1; Obtaining the blood pressure value within the monitoring period based on the vital signs monitoring data, determining whether the patient's blood pressure value is within the preset blood pressure value range, if so, the vital signs state index is 1, if not, the vital signs state index is 0; The patient's body temperature during the monitoring period is obtained based on the vital signs monitoring data to determine whether the patient's body temperature is within the preset temperature range. If so, the vital signs status index is 1, otherwise, the vital signs status index is 0.

6. The monitoring and control system for anesthesia intubation according to claim 1, characterized in that: Adjusting the current anesthesia intubation gas parameters based on the basic physical status index, respiratory and circulatory function status index, neuromuscular blockade status index and vital signs status index specifically includes the following processes: The continuous anesthesia intubation index CTZ is calculated based on the basic physical status index and the vital signs status index: CTZ=10e R -STZ; Among them, STZ represents the basic index of the patient's physical condition, R represents the vital signs status index, and the value of e is 2.72; Determine whether the continuous anesthesia intubation index CTZ exceeds the continuous anesthesia intubation threshold, if so, generate a continuous anesthesia intubation signal to maintain the patient's current anesthesia intubation state, if not, generate a cut-off anesthesia intubation signal to cut off the patient's current anesthesia intubation state; While maintaining the patient's current anesthesia intubation state, if the respiratory and circulatory function state index exceeds the respiratory and circulatory function state index threshold, and the neuromuscular blockade state index exceeds the neuromuscular blockade state index threshold, the current anesthesia intubation gas parameters will not be adjusted; if the respiratory and circulatory function state index does not exceed the respiratory and circulatory function state index threshold, or the neuromuscular blockade state index does not exceed the neuromuscular blockade state index threshold, the current anesthesia intubation gas parameters will be adjusted.

7. The monitoring and control system for anesthesia intubation according to claim 6, characterized in that: Adjustment of the current anesthesia intubation gas parameters specifically includes: The respiratory and circulatory function difference between the respiratory and circulatory function state index and the respiratory and circulatory function state index threshold is calculated, and the respiratory and circulatory function ratio of the respiratory and circulatory function difference to the respiratory and circulatory function state index threshold is calculated, and the respiratory and circulatory function ratio is recorded as the increase in oxygen gas flow; The neuromuscular blockade difference between the neuromuscular blockade state index and the neuromuscular blockade state index threshold is calculated, and the neuromuscular blockade ratio of the neuromuscular blockade difference to the neuromuscular blockade state index threshold is calculated, and the neuromuscular blockade ratio is recorded as the increase in anesthetic gas flow; The current anesthesia intubation gas parameters are obtained, and the oxygen gas flow increase, the anesthesia gas flow increase, and the current anesthesia intubation gas parameters are added to obtain the adjusted anesthesia intubation gas parameters.

8. The monitoring and control system for anesthesia intubation according to claim 1, characterized in that: Based on the adjusted anesthesia intubation gas parameters, the anesthetic gas flow and oxygen gas flow are controlled through the throttle valve control matrix including: Wide range throttle valve control matrix: Coarsely adjust the anesthesia intubation gas within a large flow range, adjust the throttle valve opening according to the change of the input gas parameter vector, thereby changing the flow of the anesthesia intubation gas; Narrow throttle valve control matrix: Compared with the wide throttle valve control matrix, the matrix pays more attention to fine-tuning within a small flow range to meet the precise requirements for anesthesia depth during surgery.

9. A monitoring and control method for anesthesia intubation, characterized in that: A monitoring and control system for anesthesia intubation applicable to any one of claims 1 to 8, the method comprising: Generate a monitoring cycle and divide the monitoring cycle into several monitoring periods, and obtain the anesthesia intubation monitoring data and pathological data of the patient under the current anesthesia intubation gas parameters within the monitoring period, wherein the anesthesia intubation gas parameters include anesthesia gas flow rate and oxygen gas flow rate, and the anesthesia intubation monitoring data include blood gas monitoring data, neuromuscular blockade monitoring data and vital sign monitoring data; The pathological data is parsed to obtain the patient's basic physical condition index, the blood gas monitoring data is parsed to obtain the patient's respiratory and circulatory function status index, the neuromuscular blockade monitoring data is parsed to obtain the patient's neuromuscular blockade status index, and the vital sign monitoring data is parsed to obtain the patient's vital sign status index; The current anesthesia intubation gas parameters are adjusted based on the basic body state index, respiratory and circulatory function state index, neuromuscular blockade state index and vital sign state index, and the anesthetic gas flow and oxygen gas flow are controlled through the throttle valve control matrix based on the adjusted anesthesia intubation gas parameters.

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