Anesthesia Robot System

Abstract

SOLUTION: There is provided an anesthesia robot system in which control equipment is loaded with a local database, an administration module, and a visualization platform. The visualization platform is used for inquiring index data and an automatic administration result from the local database, and exhibiting the index data and the automatic administration result. The visualization platform is also used for storing a local administration result in the local database when receiving the local administration result artificially input for medicine after the exhibition. Furthermore, the control equipment is used for inquiring an administration result corresponding to an administration mode, such as the automatic administration result or the local administration result, from the local database and transmitting an administration command corresponding to the administration result to medicine transfusion equipment so that the medicine transfusion equipment infuses the medicine to a target object according to the administration command.EFFECT: The technical aspect of the embodiment can reduce a workload on an anesthesiologist.SELECTED DRAWING: Figure 1

Description

[Technical Field]

[0001] FIELD OF THE INVENTION Embodiments of the present invention relate to the field of medical devices, and more particularly to anesthesia robotic systems. [Background technology]

[0002] Anesthesia plays an important role in clinical surgery and can contribute to the effective relief of pain experienced by surgical patients. Currently, artificial anesthesia is administered to surgical patients mainly by anesthesiologists.

[0003] However, the above-mentioned anesthesia methods impose a heavy workload on anesthesiologists, and improvements are desired. Summary of the Invention [Problem to be solved by the invention]

[0004] An embodiment of the present invention provides an anesthesia robotic system for reducing the workload of an anesthesiologist by combining automated and artificial anesthesia. [Means for solving the problem]

[0005] According to one aspect of the present invention, there is provided an anesthesia robotic system that can include a control device, a monitoring device and a drug infusion device, each connected to the control device, wherein the control device is equipped with a local database, an administration module and a visualization platform; Wherein, the monitoring device is used to detect index data of the target object according to a preset anesthesia index and transmit the detected index data to the control device; The control device is used to store the received indicator data in a local database; The administration module is used to query index data from the local database, determine an automatic administration result of the drug infused during the anesthesia process based on the queried index data, and store the determined automatic administration result in the local database; The visualization platform is used to query the index data and the automatic administration results from the local database and display the queried index data and the automatic administration results; The visualization platform is further used to display the queried index data and the automatic administration result, and then, when receiving a manually input local administration result for the drug, to store the received local administration result in a local database; The control device further obtains a currently applied administration mode, and queries the administration result corresponding to the administration mode from the local database, where, if the administration mode is an automatic administration mode, the administration result includes the automatic administration result; if the administration mode is a manual administration mode, the administration result is used to include the local administration result; The control device is further used for sending an administration command corresponding to the queried administration result to the drug infusion device so that the drug infusion device infuses the drug to the target subject according to the administration command received by the drug infusion device. [Effects of the Invention]

[0006] In a technical aspect of an embodiment of the present invention, the dosing module automatically calculates the automatic dosing result, thereby realizing automatic anesthesia. Based on this, if the automatic dosing result is not reasonable, the visualization platform can manually input the local dosing result, thereby realizing artificial anesthesia. The above technical aspect combines automatic anesthesia and artificial anesthesia, which can effectively save operation costs in the anesthesia process and reduce the workload of the anesthesiologist. Based on this, manual intervention can be performed when the automatic dosing result is not reasonable, thereby ensuring the accurate implementation of anesthesia and achieving good clinical auxiliary effects.

[0007] It should be understood that the content described in this section is not intended to identify key or critical features of embodiments of the present invention, nor is it intended to be used to limit the scope of the present invention. Other features of the present invention will become more readily apparent from the following specification. [Brief explanation of the drawings]

[0008] In order to more clearly explain the technical aspects of the embodiments of the present invention, the following will briefly introduce the drawings that need to be used in the description of the embodiments. However, the drawings described below are only some embodiments of the present invention, and it is obvious that a person skilled in the art can further obtain other drawings according to these drawings without paying any creative labor.

[0009] [Figure 1] FIG. 1 is a block diagram of the structure of an anesthesia robot system according to an embodiment of the present invention. [Figure 2] FIG. 1 is a block diagram of the structure of another anesthesia robot system according to an embodiment of the present invention. [Figure 3] FIG. 1 is a block diagram of the structure of another anesthesia robot system according to an embodiment of the present invention. [Figure 4] 10 is a data flow diagram of a preferred example in another anesthesia robot system according to an embodiment of the present invention. [Figure 5] FIG. 1 is a block diagram of the structure of another anesthesia robot system according to an embodiment of the present invention. [Figure 6a] FIG. 10 is a workflow diagram of an administration module in another anesthesia robot system according to an embodiment of the present invention. [Figure 6b] FIG. 6B is a workflow diagram of the induction administration module corresponding to FIG. 6a in another anesthesia robot system according to an embodiment of the present invention. [Figure 7] FIG. 10 is a flow chart of an example of automatic switching of administration modes in another anesthesia robot system according to an embodiment of the present invention. [Figure 8a] FIG. 10 is a workflow diagram of an anesthesia depth maintenance administration module in another anesthesia robot system according to an embodiment of the present invention. [Figure 8b] FIG. 8B is a workflow diagram of the remifentanil module 1 corresponding to FIG. 8a in another anesthesia robot system according to an embodiment of the present invention. [Figure 9a] FIG. 10 is a workflow diagram of a vital sign maintenance administration module in another anesthesia robot system according to an embodiment of the present invention. [Figure 9b]FIG. 9B is a workflow diagram of the remifentanil module 2 corresponding to FIG. 9a in another anesthesia robot system according to an embodiment of the present invention. [Figure 9c] FIG. 9B is a workflow diagram of the remifentanil module 3 corresponding to FIG. 9a in another anesthesia robot system according to an embodiment of the present invention. [Figure 10] FIG. 10 is a workflow diagram of a muscle relaxation maintenance administration module in another anesthesia robot system according to an embodiment of the present invention. DETAILED DESCRIPTION OF THE INVENTION

[0010] In order to allow those skilled in the art to better understand the aspects of the present invention, the following will clearly and completely describe the technical aspects of the embodiments of the present invention with reference to the drawings in the embodiments of the present invention, but it is clear that the described embodiments are only some embodiments of the present invention and do not represent all embodiments. All other embodiments obtained by those skilled in the art based on the embodiments of the present invention without any creative work shall fall within the protection scope of the present invention.

[0011] It should be noted that the terms "first," "second," and the like in the present specification and claims, as well as in the drawings, need not be used to describe a particular order or sequence, but are merely used to distinguish between similar objects. Such terms may be interchanged where appropriate, so that it should be understood that the embodiments of the present invention described herein may be implemented in orders other than those illustrated or described herein. Terms such as "target," "original," and the like are similar and will not be repeated here. Furthermore, the terms "comprise," "have," and any variations thereof are intended to cover a non-exclusive inclusion, including, for example, a process, system, product, or apparatus of a series of steps or units, but are not necessarily limited to those steps or units explicitly listed, and may include other steps or units not explicitly listed or inherent to the process, system, product, or apparatus.

[0012] Furthermore, the collection, collection, updating, analysis, processing, use, transmission, storage, etc. of users' personal information according to the technical aspects of the present invention are all in accordance with the provisions of relevant laws and regulations, are used for lawful purposes, and are not contrary to public order and morals. Necessary measures will be taken regarding users' personal information to prevent unauthorized access to users' personal information data, and to maintain the safety of users' personal information, network security, and national security.

[0013] FIG. 1 is a block diagram of the structure of an anesthesia robot system according to an embodiment of the present invention. This embodiment is applicable to the case of automatic anesthesia, particularly when anesthesia is performed by combining automatic anesthesia and artificial anesthesia. Referring to FIG. 1, the system described in this embodiment of the present invention includes a control device 10, a monitoring device 20, and a drug infusion device 30, each connected to the control device 10. The control device 10 is equipped with a local database 101, an administration module 102, and a visualization platform 103. The monitoring device 20 is used to detect index data of a target object based on a preset anesthesia index, and transmit the detected index data to the control device 10; The control device 10 is used to store the received indicator data in a local database 101; The administration module 102 is used to query index data from the local database 101, determine an automatic administration result of the drug infused during the anesthesia process according to the queried index data, and store the determined automatic administration result in the local database 101; The visualization platform 103 is used to query the index data and the automatic administration results from the local database 101 and display the queried index data and the automatic administration results; The visualization platform 103 is further used to display the queried index data and the automatic administration result, and then, when receiving a manually input local administration result for the drug, to store the received local administration result in the local database 101; The control device 10 further obtains the currently applied administration mode, and queries the administration result corresponding to the administration mode from the local database 101, where, if the administration mode is an automatic administration mode, the administration result includes the automatic administration result; if the administration mode is a manual administration mode, the administration result is used to include the local administration result; The control device 10 is further used to send an administration command corresponding to the queried administration result to the drug infusion device 30 so that the drug infusion device 30 infuses the drug to the target subject in accordance with the administration command received.

[0014] The monitoring device 20 can be understood as an electronic device used to detect index data of a target subject at least based on a preset anesthesia index. The preset anesthesia index can be understood as a preset index related to anesthesia, such as a bispectral index (BIS) index or a vital sign index (e.g., diastolic blood pressure, systolic blood pressure, heart rate, oxygen saturation, body temperature, finger pulse waveform, ST segment deviation, end-tidal CO2, urine volume, blood gas analysis, muscle relaxation, etc.), or of course, other indexes, which are not specifically limited herein. The index data can be understood as data detected based on a preset anesthesia index, such as a bispectral index detected based on a BIS index and / or vital sign data detected based on a vital sign index, which are not specifically limited herein. The monitoring device 20 detects index data of a target subject based on a preset anesthesia index and transmits the detected index data to the control device 10.

[0015] The control device 10 is connected to the monitoring device 20 and can be understood as an electronic device that performs control functions in the anesthesia robot system, and may be, for example, a computer. The control device 10 is equipped with a local database 101, which can be used to realize functions such as data recording, data query, and data backup. The control device 10 receives index data transmitted by the monitoring device 20 and stores the received index data in the local database 101. In practical application, the control device 10 is preferably equipped with a data interface, so that the index data transmitted by the monitoring device 20 can be received through the data interface. In light of this, the data interface preferably further has a data encoding and decoding function, and more preferably, the data interface can further detect the data status of the index data to prevent the monitoring device 20 from being damaged.

[0016] The control device 10 further includes an administration module 102, which can be understood as a module used to automatically calculate the automatic administration result of the drug infused during the anesthesia process based on at least the index data, and in practical application, can be called an artificial intelligence (AI) administration algorithm. Specifically, the administration module 102 queries the index data from the local database 101, determines the automatic administration result of the drug infused during the anesthesia process based on the retrieved index data, and stores the determined automatic administration result in the local database 101.

[0017] The control device 10 further includes a visualization platform 103, which can be understood as a platform used to display at least the queried data. In practical applications, the visualization platform 103 may be implemented as a pure software module or a software module plus a hardware device (e.g., a display device, etc.), and is not specifically limited herein. Specifically, the visualization platform 103 queries the index data and the automatic administration results from the local database 101 and displays the queried index data and the automatic administration results. Furthermore, if the visualization platform 103 receives an artificially input local administration result for a drug after displaying the queried index data and the automatic administration results, this often occurs when the index data and the automatic administration result are artificially mismatched. The received local administration result can be stored in the local database 101, and the local administration result is the artificial administration result. In practical applications, the local administration result can preferably be input via an input device (e.g., a keyboard and / or a mouse) and / or a display device with a touch function. In other words, if it is artificially assumed that the index data and the automated administration results match, no manual intervention is required, and if it is artificially assumed that the index data and the automated administration results do not match, manual intervention is required.

[0018] Based on this, the control device 10 further obtains the currently applied administration mode, which may be, for example, an artificial administration mode or an automatic administration mode (i.e., an AI administration mode), and then queries the administration result corresponding to the administration mode from the local database 101, which may be, for example, an automatic administration result corresponding to the automatic administration mode or a local administration result corresponding to the artificial administration mode, and then generates an administration command corresponding to the queried administration result and sends the administration command to the drug infusion device 30.

[0019] The drug infusion device 30 is connected to the control device 10 and can be understood as an electronic device used to realize at least the drug infusion function. In practical application, it may be referred to as a drug infusion pump, a drug infusion pump workstation, etc. The drug infusion device 30 injects drugs into the target subject according to the received administration command. In light of this, the drug infusion device 30 preferably further returns the execution result of the administration command and / or its own operating status to the control device 10, thereby informing the control device 10 of the current administration status and / or the operating status of the drug infusion device 30.

[0020] As can be seen from the above description, data flows between the monitoring device 20, the drug infusion device 30, and the control device 10. In practical application, the monitoring device 20, the drug infusion device 30, and the control device 10 are preferably connected via a wired system to realize data flow among the devices. For example, the control device 10 and the monitoring device 20 are connected via a network cable, the first port of the Internet Protocol (IP) of the control device 10 is opened to perform communication detection, the monitoring device 20 sends a communication establishment request to the first port, and a communication connection is established by a three-way handshake of Transmission Control Protocol (TCP) communication, and the monitoring device 20 encodes the index data according to the HL7 protocol and transmits it to the control device 10. Also, for example, the control device 10 and the drug infusion device 30 are connected via a network cable, the second port of the IP of the drug infusion device 30 is opened to perform communication detection, the control device 10 sends a communication establishment request to the second port, a communication connection is established by a three-way handshake of TCP communication, and the control device 10 encodes an administration command according to the HL7 protocol and sends it to the drug infusion device 30. In other words, the anesthesia robot system may further include a wired communication component, which communicates according to the TCP protocol and the data format may be the HL7 protocol, thereby realizing data transmission within the anesthesia robot system.

[0021] In practical application, data query and data recording can be preferably performed by the local database 101. The local database 101 can store eight data forms for recording various data, including a subject information form, a vital signs form, an automatic administration form, an automatic administration flag form, an artificial administration form, an administration instruction feedback form, a drug infusion device scheduled feedback form, and a postoperative information form. The object information form can store relevant information about the target subject, the vital signs form can store indicator data, the automatic administration form can store automatic administration results, and the automatic administration flag form can store records of automatic administration and artificial administration during surgery. For example, when the administration mode is switched, a corresponding command can be inserted into the automatic administration flag form, allowing the control device 10 to determine the currently applied administration mode based on the automatic administration flag form. The artificial administration form can store local administration results. The administration command feedback form can store the execution result of the administration command returned by the drug infusion device 30. The drug infusion device regular feedback form can store the drug infusion device's own operating status, which is regularly fed back to the control device 10 by the drug infusion device 30. The post-operative information form can store various indicators of the target subject's post-operative body to provide feedback on the post-operative recovery status. In actual application, when data is stored in the data form, the sequence number and time when the data was written can be recorded to facilitate subsequent data inquiry.

[0022] In a technical aspect of an embodiment of the present invention, the dosing module automatically calculates the automatic dosing result, thereby realizing automatic anesthesia. Based on this, if the automatic dosing result is not reasonable, the visualization platform can manually input the local dosing result, thereby realizing artificial anesthesia. The above technical aspect combines automatic anesthesia and artificial anesthesia, which can effectively save operation costs in the anesthesia process and reduce the workload of the anesthesiologist. Based on this, manual intervention can be performed when the automatic dosing result is not reasonable, thereby ensuring the accurate implementation of anesthesia and achieving good clinical auxiliary effects.

[0023] In light of this, in one preferred technical aspect, the visualization platform is specifically used to query indicator data and automatic administration results from a local database and display the queried indicator data and automatic administration results based on the currently applied data display method.

[0024] The data display method can be understood as a currently applied method for displaying query results. The visualization platform displays the queried index data and automatic administration results based on the data display method. In practical application, the data display method can preferably be manually adjusted according to actual needs.

[0025] For example, the visualization platform may display vital sign data for 12 vital sign indicators, including six major and six minor vital sign indicators. The major and minor vital sign indicators may be artificially separated according to factors such as the type of surgery. For example, in the default state, the visualization platform displays six major vital sign indicators, including the BIS index, body temperature, systolic blood pressure, diastolic blood pressure, time of flight (TOF), and heart rate (HR), in the form of a dial. The dial includes three color areas: white indicates that the data is within the normal range; yellow indicates that the data exceeds the normal range but is within an acceptable range; and red indicates that the data is significantly outside the normal range and requires urgent treatment. The secondary vital sign indicators are displayed in a table, and the default six are blood oxygen saturation (SpO2), intraoperative end-tidal CO2 content (EtCO2), electrocardiogram (ST), urine output (UV), pulse pulse pulsation (PPG), and blood gas analysis (ABG). The vital sign indicators can also be displayed in other formats, such as curves, which can be set according to actual needs and are not specifically limited here.

[0026] For example, the visualization platform can display administration results in real time in a graphical format, including six components, such as sequence number, drug name, infusion rate, cumulative dose, operation status, and special circumstances manual intervention administration. Based on this, the visualization platform can also provide commonly used sedatives, analgesics, muscle relaxants, and some circulatory system maintenance drugs for manual selection. The visualization platform can manually check in real time whether the dosage of various drugs is reasonable, and if it is not reasonable, manual administration intervention (i.e., local administration results can be entered) can be performed using the special circumstances manual intervention administration component. The cumulative dose component can record the total dose of various drugs administered during surgery and serve as a reference for manually judging the rationality of administration. The operation status component is responsible for monitoring the general rationality of administration, for example, calculating the administration interval based on the target object's target information and issuing an abnormality alert if the automatic administration result exceeds the administration interval.

[0027] In another preferred technical aspect, the visualization platform is further used to issue an alarm for abnormal index data when the queried index data has an abnormality, thereby ensuring the safety of the target subject's life.

[0028] For example, the visualization platform can provide a standard three-dimensional (3D) human model for presenting preset anesthesia indices in which abnormalities appear. Specifically, based on the standard three-dimensional human 3D model, a detection site corresponding to the indices data is labeled, and the detection site may be, for example, the head, chest, abdomen, and extremities. If an abnormality appears in the indices data, the corresponding site on the standard three-dimensional human 3D model can be flashed red to alert the user to the abnormality.

[0029] In addition, for example, the visualization platform can further simulate the anesthesia state of the target subject using a cerebral model including 170 brain regions, and dynamically display the anesthesia depth of the cerebral cortex using blue-green-red color changes based on the detected anesthesia depth value. If the anesthesia depth value deviates from the normal value, an alarm can be activated, and the detection window can flash quickly to alert the user to the abnormality of the artificial anesthesia depth value, requiring medical treatment to restore the target subject's vital signs to normal.

[0030] In yet another preferred technical aspect, the visualization platform is further used to receive a manually input local switching command for the administration mode, and to switch the administration mode in response to the local switching command; The visualization platform is further used to receive an artificially input local administration result for the drug when the administration mode is an artificial administration mode.

[0031] Wherein, the administration mode can be manually switched according to actual needs, for example, by touching the administration mode switching control displayed on the visualization platform to switch the administration mode. That is, the visualization platform receives a manually input local switching command for the administration mode, and can switch the administration mode in response to the local switching command, for example, switching from the automatic administration mode to the automatic administration mode, or switching from the automatic administration mode to the automatic administration mode. When the administration mode is the automatic administration mode, the visualization platform can also receive manually input local administration results for the drug. In actual application, preferably, when the administration mode is the automatic administration mode, the administration module can still calculate the automatic administration result, but the control device obtains the local administration result from the local database.

[0032] In the above technical aspect, the visualization platform can receive the local administration result only when the administration mode is the artificial administration mode, which can avoid the occurrence of a situation where an unreasonable local administration result is input to the visualization platform due to artificial misoperation, and can effectively guarantee the safety of anesthesia; In another preferred technical aspect, the administration module can be iteratively adjusted based on the index data, the automatic administration result, and the local administration result. In practical application, the administration module can be a pre-trained neural network model. Based on this, in order to further improve the accuracy of the automatic administration result calculated by the administration module, the administration module can be iteratively adjusted after surgery using the index data, the automatic administration result, and the local administration result generated during surgery, thereby optimizing the accuracy of the automatic administration result.

[0033] In practical application, in addition to using the index data, the automatic administration results, and the local administration results to iteratively adjust the administration module, it is also possible to use at least one of the target subject's postoperative recovery status, the impact of the surgery on the target subject, and the usage rate of the automatic administration results as variables to generate a corresponding scoring mechanism to evaluate the expression of the administration module and to iteratively adjust the administration module based on this. Alternatively, various intraoperative and postoperative data can be classified, and the classified data can be periodically used to iteratively adjust the administration module, thereby optimizing the administration module and improving the accuracy of the calculated automatic administration results.

[0034] Figure 2 is a structural block diagram of another anesthesia robot system according to an embodiment of the present invention. This embodiment is optimized based on the above technical aspects. In this embodiment, preferably, the anesthesia robot system further includes a cloud server connected to a control device, and the cloud server is equipped with a remote operation platform and a cloud database, wherein the control device is further used to query index data and automatic administration results from the local database, transmit the queried index data and automatic administration results to the cloud database, and store the index data and automatic administration results in the cloud database, and the remote operation platform is used to query index data and automatic administration results from the cloud database and display the queried index data and automatic administration results. The interpretations of terms that are the same as or corresponding to those in the above embodiments will not be repeated here.

[0035] Referring to FIG. 2 , the system according to the embodiment of the present invention includes a control device 10, a monitoring device 20 connected to the control device 10, a drug infusion device 30, and a cloud server 40, the control device 10 being equipped with a local database 101, an administration module 102, and a visualization platform 103, the cloud server 40 being equipped with a cloud database 401 and a remote operation platform 402, The monitoring device 20 is used to detect index data of a target object based on a preset anesthesia index, and transmit the detected index data to the control device 10; The control device 10 is used to store the received indicator data in a local database 101; The administration module 102 is used to query index data from the local database 101, determine an automatic administration result of the drug infused during the anesthesia process according to the queried index data, and store the determined automatic administration result in the local database 101; The visualization platform 103 is used to query the index data and the automatic administration results from the local database 101 and display the queried index data and the automatic administration results; The visualization platform 103 is further used to display the queried index data and the automatic administration result, and then, when receiving a manually input local administration result for the drug, to store the received local administration result in the local database 101; The control device 10 is further used to query the index data and the automatic administration result from the local database 101, transmit the queried index data and the automatic administration result to the cloud database 401, and store the index data and the automatic administration result in the cloud database 401; The remote operation platform 402 is used to query the index data and the automatic administration results from the cloud database 401 and display the queried index data and the automatic administration results; The control device 10 further obtains the currently applied administration mode, and queries the administration result corresponding to the administration mode from the local database 101, where, if the administration mode is an automatic administration mode, the administration result includes the automatic administration result; if the administration mode is a manual administration mode, the administration result is used to include the local administration result; The control device 10 is further used to send an administration command corresponding to the queried administration result to the drug infusion device 30 so that the drug infusion device 30 infuses the drug to the target subject in accordance with the administration command received.

[0036] Among these, compared with local devices such as the control device 10, the monitoring device 20, and the drug infusion device 30, the cloud server 40 can be understood as a remotely deployed server. The cloud server 40 is equipped with a cloud database 401 and a remote control platform 402, and the remote control platform 402 is communicatively connected to the cloud database 401. In practical applications, the remote control platform 402 is preferably constructed and obtained based on a BS architecture, and can cooperate with the cloud database 401 to realize functions such as data backup, data query, and remote control. For example, the remote control platform 402 can manually manage user authority so that users can perform certain operations within the scope of authority permitted by the remote control platform 402. This certain operation may, for example, be information supplementation by entering target surgical data (e.g., special conditions encountered and postoperative recovery status, etc.); searching based on surgical type and learning based on the searched anesthesia data to reduce the training costs of anesthesiologists; viewing intraoperative index data and automatic administration results; and the like, which are not specifically limited herein.

[0037] In connection with application scenarios that may involve embodiments of the present invention, control device 10 and cloud server 40 are communicatively connected, and control device 10 can query index data and automatic administration results from local database 101 and transmit the queried index data and automatic administration results to cloud database 401. Specifically, upon transmission to cloud server 40, the index data and automatic administration results received by cloud server 40 can be stored in cloud database 401. Based on this, remote operation platform 402 can further query index data and automatic administration results from cloud database 401 and display the queried index data and automatic administration results, allowing a remote anesthesiologist to view the index data and automatic administration results and, based on this, decide whether to perform some operation. This some operation may be, for example, remote artificial administration or instructing an anesthesiologist in the operating room to artificially administer drugs locally.

[0038] A technical aspect of an embodiment of the present invention is to provide a cloud server in the anesthesia robot system, and to equip the cloud server with a remote control platform and a cloud database, so that the two can cooperate with each other and the remote control platform can display index data and automatic administration results. In this way, the remote anesthesiologist can decide on the next operation based on the display results, thereby realizing the effect of remote control of anesthesia.

[0039] FIG. 3 is a structural block diagram of another anesthesia robot system according to an embodiment of the present invention. This embodiment is optimized based on the above technical aspects. In this embodiment, preferably, the teleoperation platform is further configured to display the queried index data and automatic administration results, and then, when receiving manually input remote administration results for the drug, store the received remote administration results in a cloud database. The manual administration mode includes a local administration mode triggered by the visualization platform or a remote administration mode triggered by the teleoperation platform. The control device is further configured to specifically obtain the currently applied administration mode, and, when the administration mode is the automatic administration mode or the local administration mode, query the administration results corresponding to the administration mode from the local database. When the administration mode is the local administration mode, the administration results are used to include the local administration results. When the administration mode is the remote administration mode, the control device is further configured to query the remote administration results from the cloud database and set the queried remote administration results as the administration results corresponding to the administration mode. The interpretations of the same or corresponding terms as those in the above embodiments will not be repeated here.

[0040] Referring to FIG. 3 , the system described in this embodiment includes a control device 10, a monitoring device 20 connected to the control device 10, a drug infusion device 30, and a cloud server 40. The control device 10 is equipped with a local database 101, an administration module 102, and a visualization platform 103. The cloud server 40 is equipped with a cloud database 401 and a remote operation platform 402. The monitoring device 20 is used to detect index data of a target object based on a preset anesthesia index, and transmit the detected index data to the control device 10; The control device 10 is used to store the received indicator data in a local database 101; The administration module 102 is used to query index data from the local database 101, determine an automatic administration result of the drug infused during the anesthesia process according to the queried index data, and store the determined automatic administration result in the local database 101; The visualization platform 103 is used to query the index data and the automatic administration results from the local database 101 and display the queried index data and the automatic administration results; The visualization platform 103 is further used to display the queried index data and the automatic administration result, and then, when receiving a manually input local administration result for the drug, to store the received local administration result in the local database 101; The control device 10 is further used to query the index data and the automatic administration result from the local database 101, transmit the queried index data and the automatic administration result to the cloud database 401, and store the index data and the automatic administration result in the cloud database 401; The remote operation platform 402 is used to query the index data and the automatic administration results from the cloud database 401 and display the queried index data and the automatic administration results; The remote operation platform 402 is further used to display the queried index data and the automatic administration result, and then, when receiving the manually input remote administration result for the drug, to store the received remote administration result in the cloud database 401; The control device 10 is further used to obtain a currently applied administration mode, among which the administration mode includes a manual administration mode or an automatic administration mode, and the manual administration mode may include a local administration mode triggered by the visualization platform 103 or a remote administration mode triggered by the remote operation platform 402; The control device 10 further queries the administration result corresponding to the administration mode from the local database 101 when the administration mode is an automatic administration mode or a local administration mode, whereby when the administration mode is the automatic administration mode, the administration result includes the automatic administration result; when the administration mode is the local administration mode, the administration result is used to include the local administration result; The control device 10 is further used to, when the administration mode is a remote administration mode, query the cloud database 401 for a remote administration result, and set the queried remote administration result as an administration result corresponding to the administration mode; The control device 10 is further used to send an administration command corresponding to the queried administration result to the drug infusion device 30 so that the drug infusion device 30 infuses the drug to the target subject in accordance with the administration command received.

[0041] Among these, if the remote operation platform 402 displays the queried index data and automatic administration results, and after displaying them, receives an artificially input remote administration result for the drug, this often occurs when the index data and the automatic administration result are artificially thought to be inconsistent, and the received remote administration result can be stored in the cloud database 401, and the remote administration result is an artificial administration result. Note that both the remote administration result and the local administration result are artificial administration results, and the difference between the two is that the former is input by the visualization platform 103, while the latter is input by the remote operation platform 402.

[0042] Based on this, the control device 10 further obtains the currently applied administration mode, which may be, for example, an automatic administration mode or an artificial administration mode, and the artificial administration mode may be a local administration mode triggered by the visualization platform 103 or a remote administration mode triggered by the remote operation platform 402. The control device 10 may further query the administration result corresponding to the administration mode, for example, query the automatic administration result corresponding to the automatic administration mode from the local database 101, query the local administration result corresponding to the local administration mode from the local database 101, or query the remote administration result corresponding to the remote administration mode from the cloud database 401, so as to control the drug infusion device 30 to infuse the drug based on the queried administration result.

[0043] The technical aspect of an embodiment of the present invention is that the remote operation platform receives manually input remote administration results, stores the remote administration results in a cloud database, and then the control device queries the remote administration results from the cloud database, thereby controlling the drug infusion based on the queried remote administration results, thereby achieving the effect of remote artificial administration through the cooperation of all parties.

[0044] In light of this, in one preferred technical aspect, the remote operation platform is further used to receive a manually input remote switching command for the administration mode, and switch the administration mode in response to the remote switching command; The teleoperation platform is further used to receive an artificially input remote administration result for the drug when the administration mode is a remote administration mode.

[0045] Wherein, the administration mode can be manually switched according to actual needs, for example, by touching the administration mode switching control displayed on the remote control platform. That is, the remote control platform receives a manually input remote switching command for the administration mode, and then switches the administration mode in response to the remote switching command, for example, switching from the automatic administration mode to the manual administration mode, or switching from the manual administration mode to the automatic administration mode, where the manual administration mode specifically refers to the remote administration mode. When the administration mode is the remote administration mode, the remote control platform can receive a manually input remote administration result for the drug. In actual application, preferably, when the administration mode is the remote administration mode, the administration module can still calculate the automatic administration result, but the remote administration result is what the control device obtains from the cloud database.

[0046] In the above technical aspect, the remote control platform can receive the remote administration result only when the administration mode is the remote administration mode, which can avoid the situation where an unreasonable remote administration result is input to the remote control platform due to artificial misoperation, and can effectively ensure the safety of anesthesia.

[0047] In another preferred technical aspect, when the remote operation platform receives a historical data query command, it is further used to respond to the historical data query command, query the historically stored index data, automatic administration results and remote administration results from the cloud database, and display the queried index data, automatic administration results and remote administration results.

[0048] The historical data query command can be understood as a command to query the historically stored index data, automatic administration results, and remote administration results from the cloud database. In practical application, the historical data query command is preferably triggered after surgery. When the historical data query command is received by the remote operation platform, it can respond to the historical data query command, query the historically stored index data, automatic administration results, and remote administration results from the cloud database, and display the query results. In this way, anesthesiologists can learn related anesthesia experience, thereby reducing the training costs of anesthesiologists.

[0049] To better understand the above technical aspects as a whole, they will be described below in conjunction with specific examples. For example, as shown in FIG. 4, the control device receives indicator data transmitted from the monitoring device via a data interface and stores the received indicator data in a local database. The dosing module queries the local database for the latest indicator data, calculates automatic dosing results based on the queried indicator data, and stores the automatic dosing results in the local database. The visualization platform queries the local database for indicator data and automatic dosing results and displays the queried indicator data and automatic dosing results. If the visualization platform receives an artificially entered local dosing result after displaying the indicator data and automatic dosing results, it artificially considers the automatic dosing result to be unreasonable and indicates that manual intervention is required. In this case, it stores the local dosing result in the local database. The control device queries the local database for the latest indicator data, automatic dosing results, and local dosing results (if available), and stores the query results in a cloud database via network communication. Based on this, the remote operation platform can query the cloud database for indicator data, automatic dosing results, and local dosing results and display the query results. If the remote control platform receives manually input remote administration results after displaying them, it will automatically consider the automatic administration results and / or local administration results to be unreasonable, indicating the need for manual intervention. In this case, it will store the remote administration results in the remote database. Furthermore, the control device can query the administration results from the local database or the cloud database based on the currently applied administration mode, and send an administration command corresponding to the administration result to the drug infusion device via the data interface to control the drug infusion device to infuse the drug. Based on this, the drug infusion device can provide information feedback on the execution results of the administration command and its own operating status. Furthermore, the user can use the remote control platform to send a historical data query command to the cloud database and learn about their anesthesia experience based on the query results.

[0050] The remotely controllable anesthesia robot system based on the AI ​​administration algorithm described above has at least the following advantages:

[0051] 1. Through the targeted design of the visualization platform, the design of the administration module, human-computer interaction technology, Internet of Things technology, and the Internet platform, the administration assistance function can be realized, which can greatly reduce the workload of anesthesiologists and provide effective administration advice (i.e., automatic administration results).

[0052] 2. The trained administration module can calculate optimal administration advice based on real-time indicator data, which saves time and effort and reduces the error rate compared to anesthesiologists having to continuously observe various vital signs of the target subject and then make a judgment based on relevant medical knowledge and experience.

[0053] 3. Various data during the anesthesia process can be recorded and backed up using local and cloud databases. After data selection and processing, the data can be used as a training set for the administration module, making the administration module design more rational. Based on this, the internet platform can empower users with the right to learn and browse, reducing the cost of training anesthesiologists. In other words, the anesthesia robot system has the ability to share data.

[0054] 4. Each part of the control device is isolated from each other; for example, the visualization platform is not intervened by administration advice, but is presented based on indicator data; and the administration advice can only be transmitted to the drug infusion device after passing safety inspection, thereby ensuring the safety of anesthesia administration.

[0055] FIG. 5 is a flow chart of another anesthesia robot system according to an embodiment of the present invention. This embodiment is optimized based on the above technical aspects. In this embodiment, preferably, the administration module includes an anesthesia depth maintenance administration module and a vital sign maintenance administration module, the index data includes a bispectral index and vital sign data, the drugs include a first drug and a second drug, and the automatic administration result includes a first administration result and a second administration result. The anesthesia depth maintenance administration module is used to query a bispectral index from a local database and determine a first administration result of the first drug infused during the anesthesia process based on the retrieved bispectral index, and store the determined first administration result in the local database. The vital sign maintenance administration module is used to query vital sign data from a local database and determine a second administration result of the second drug infused during the anesthesia process based on the retrieved vital sign data, and store the determined second administration result in the local database. The same or corresponding terms as those in the above embodiments will not be repeated here.

[0056] Referring to FIG. 5 , the system described in this embodiment includes a control device 10, a monitor device 20 and a drug infusion device 30, each connected to the control device 10, and the control device 10 is equipped with a local database 101, an anesthesia depth maintenance administration module 1021, a vital sign maintenance administration module 1022 and a visualization platform 103. The monitoring device 20 is used to detect index data of a target subject according to a preset anesthesia index, and transmit the detected index data to the control device 10, where the index data includes bispectral index and vital sign data; The control device 10 is used to store the received bispectral index and vital sign data in a local database 101; the anesthesia depth maintenance administration module 1021 is used to query the bispectral index from the local database 101, determine a first administration result of the first drug infused during the anesthesia process based on the retrieved bispectral index, and store the determined first administration result in the local database 101; the vital sign maintenance administration module 1022 is used to query vital sign data from the local database 101, determine a second administration result of a second drug infused during the anesthesia process based on the queried vital sign data, and store the determined second administration result in the local database 101; The visualization platform 103 is used to query the index data, the first administration result, and the second administration result from the local database 101 and display the queried index data, the first administration result, and the second administration result; The visualization platform 103 is further used to display the queried index data, the first administration result and the second administration result, and then, when receiving the artificially input local administration results for the first drug and the second drug, to store the received local administration results in the local database 101; The control device 10 further obtains the currently applied administration mode, and queries the administration result corresponding to the administration mode from the local database 101, where, if the administration mode is an automatic administration mode, the administration result includes the first administration result and the second administration result; if the administration mode is a manual administration mode, the administration result is used to include the local administration result; The control device 10 is further used to send an administration command corresponding to the queried administration result to the drug infusion device 30 so that the drug infusion device 30 infuses the drug to the target subject in accordance with the administration command received.

[0057] Among these, the index data includes the BIS. The anesthesia depth maintenance administration module 1021 can be understood as an administration module for maintaining the anesthesia depth, the first drug can be understood as a drug that is infused during the anesthesia process and can be used to maintain the anesthesia depth, and the first administration result can be understood as the administration result for the first drug. The anesthesia depth maintenance administration module 1021 queries the BIS from the local database 101, determines the first administration result based on the retrieved BIS, and stores the determined first administration result in the local database 101.

[0058] The index data further includes vital sign data, the vital sign maintenance administration module 1022 can be understood as an administration module for maintaining vital signs, the second drug can be understood as a drug that is infused during the anesthesia process and can be used to maintain vital signs, and the second administration result can be understood as an administration result for the second drug. The vital sign maintenance administration module 1022 queries the vital sign data from the local database 101, determines the second administration result based on the queried vital sign data, and stores the second administration result in the local database 101.

[0059] In this way, the visualization platform 103 queries the index data, the first administration result, and the second administration result from the local database 101, and displays the query results, thereby artificially determining whether the BIS matches the first administration result, and whether the vital sign data matches the second administration result, and determining whether manual intervention administration is necessary based on the judgment results.

[0060] Technical aspects of embodiments of the present invention improve the precision of anesthesia administration by providing two administration modules that can be used to maintain anesthesia depth and vital signs, respectively.

[0061] In light of this, in one preferred technical aspect, the administration module further includes a muscle relaxant maintenance administration module, the vital sign data includes muscle relaxant data, the medication further includes a muscle relaxant drug, and the automatic administration result further includes a muscle relaxant administration result, and the muscle relaxant maintenance administration module is used to query the muscle relaxant data from a local database, determine the muscle relaxant administration result of the muscle relaxant drug infused during the anesthesia process based on the retrieved muscle relaxant data, and store the determined muscle relaxant administration result in the local database.

[0062] In this way, when the administration mode is automatic administration mode, the control device can query the first administration result, the second administration result, and the muscle relaxant administration result from the local database, and control the drug infusion device to infuse the drug based on these queried administration results.

[0063] In the above technical aspect, in addition to the anesthesia depth maintenance administration module and the vital sign maintenance administration module, the muscle relaxation maintenance administration module also administers administration in cooperation with each other, thereby further improving the accuracy of anesthesia administration.

[0064] To better understand the above technical aspects, the following description will be given in conjunction with specific examples. For example, see FIG. 6a. During the induction phase, the drug infusion device can be controlled to infuse drugs by calculating the induction phase administration results, which may be the dosage and infusion time for sedative and analgesic drugs, based on the target subject's subject information and the type of surgery. For example, see FIG. 6b. Taking propofol, rocuronium, and sufentanil as an example, if the body mass index (BMI) is greater than 30, the induction administration process is completed by bolus injection of propofol, rocuronium, and sufentanil. After the induction phase ends, the maintenance phase begins. The administration module receives indicator data in real time, and if the surgery is not yet completed, performs the following operations: Because the use of other medical devices during the surgery interferes with the EEG data detection results, the detected EEG data deviates significantly from normal values, but the interference does not last for a long period of time. Therefore, when EEG data is subject to interference, the previous administration result is maintained, and after the interference ends, the administration result can be recalculated based on at least the EEG data using the anesthesia depth maintenance administration module and the vital sign maintenance administration module. Based on this, the administration result (i.e., the muscle relaxant administration result) can be calculated using the muscle relaxant maintenance administration module. The administration results are then summarized and displayed on the visualization platform. The meanings of Delay and count_BP in the illustration will be explained in detail in the following examples.

[0065] In another preferred technical aspect, the anesthesia depth maintenance administration module is further used to obtain a first infusion count of a first drug, and if the first infusion count satisfies a first switching condition, switch the administration mode to an artificial administration mode and set the first infusion count to a first initial value.

[0066] The first infusion count can be understood as the number of infusions of the first drug. The first switching condition can be understood as a situation related to the first infusion count that indicates the need to switch the administration mode from automatic administration mode to manual administration mode, and can be a first count threshold value in conjunction with a possible application scenario involving an embodiment of the present invention. The first initial value can be understood as an initial value set for the first infusion count, and can be, for example, 0. If the first infusion count satisfies the first switching condition, this indicates that even after the first infusion count of the first drug has been infused into the target subject, the target subject's depth of anesthesia has not yet reached the ideal anesthesia range. In this case, the administration mode can be automatically switched to manual administration mode, manual intervention can be performed, and the first infusion count can be set to the first initial value and recounted. The above technical aspects ensure the effectiveness of anesthesia administration.

[0067] In yet another preferred technical aspect, the vital signs maintenance administration module is further used to obtain a second infusion count of a second drug, and if the second infusion count satisfies a second switching condition, switch the administration mode to an artificial administration mode and set the second infusion count to a second initial value.

[0068] The second infusion count can be understood as the number of infusions of the second drug. The second switching condition can be understood as a condition related to the second infusion count that indicates the need to switch the administration mode from automatic administration mode to manual administration mode. This condition can be a second count threshold value, which can be linked to application scenarios that may involve embodiments of the present invention. The second initial value can be understood as an initial value set for the second infusion count, and can be, for example, 0. If the second infusion count satisfies the second switching condition, this indicates that even after the second infusion count of the second drug has been infused into the target subject, the target subject's vital signs have not yet reached a normal state. In this case, the administration mode can be automatically switched to manual administration mode, manual intervention can be performed, and the second infusion count can be set to the second initial value and recounted. The above technical aspects ensure the effectiveness of anesthesia administration.

[0069] To better understand the above two technical aspects, they will be described below in conjunction with specific examples. For example, referring to FIG. 7, count_BP1 represents the first infusion count, and count_BP2 and count_BP3 represent the second infusion counts, where the former is the second infusion count for a blood pressure medication and the latter is the second infusion count for a heart rate medication. Here, count_BP1 is used as an example. If count_BP1 exceeds the first infusion count threshold, the infusion mode is switched to artificial infusion mode and count_BP1 is set to 0. Based on this, if AI infusion has not yet ended, the latest AI infusion result is performed. If AI infusion has ended and a new artificial infusion result is detected, the latest artificial infusion result is performed; if a new artificial infusion result is not detected, the previous infusion result is maintained. In practical application, it is preferable to refer to the anesthesia depth maintenance infusion module and the vital signs maintenance infusion module to realize an automatic infusion mode switching flow corresponding to the muscle relaxation maintenance infusion module. Among them, count_BP4 in the figure represents the number of muscle relaxant infusions corresponding to the muscle relaxant drug.

[0070] In another preferred technical aspect, the vital sign data includes at least blood pressure, the first drug includes a sedative drug and an analgesic drug, the first administration result includes a sedative administration result and an analgesic administration result, and the anesthesia depth maintenance administration module specifically: Querying the bispectral index and blood pressure from a local database to obtain a preset target range for the bispectral index and a first target range for the blood pressure; Determine the sedative administration result of the sedative drug infused during the anesthesia process based on the queried bispectral index and the target range of the obtained bispectral index; Determine the analgesic administration result of the analgesic drug infused during the anesthesia process based on the queried bispectral index and blood pressure, the obtained target range of the bispectral index, and the first target range of the blood pressure; It is used to store the determined sedative and analgesic administration results in a local database.

[0071] To better understand the above technical aspects, the following will be described in conjunction with specific examples. For example, if the BIS is too high, it indicates that the target subject's anesthesia depth is too shallow and the infusion rate of the sedative drug needs to be increased, and if the BIS is too low, it indicates that the target subject's anesthesia depth is too deep and the infusion rate of the sedative drug needs to be decreased. The increase or decrease in the infusion rate of the sedative drug is related to the increase or decrease in the BIS.

[0072] For example, see FIG. 8a. In AI administration mode, a preset time interval is typically required between two automatic administrations. That is, the next administration is initiated after the previous administration has taken effect. Here, Delay1 represents the preset time interval corresponding to the anesthesia depth maintenance administration module. After each infusion of the first drug, Delay can be set to 1, and after the execution of the delay program, Delay can be set to 0. In the illustration, propofol is the sedative drug, and remifentanil is the analgesic drug. As can be seen from the illustration, the anesthesia depth maintenance administration module determines the administration results of the sedative and analgesic drugs based on the magnitude of the BIS value and the magnitude of the propofol administration rate (BV). After each automatic administration, count_BP1 is incremented by 1. Therefore, if the anesthesia depth has not yet reached the ideal anesthesia range after two automatic administrations, manual intervention can be performed in a timely manner to ensure the effectiveness of anesthesia. For the remifentanil module 1 in Fig. 8a, its workflow is as shown in Fig. 8b, specifically, it determines the administration rate of remifentanil based on the magnitude of the BIS value, and performs manual intervention if the remifentanil is administered more than twice. The specific flow of manual intervention can be seen in Fig. 7 described above, and will not be repeated here.

[0073] Also, for example, during the maintenance phase, the main goal is to maintain the measured BIS within the ideal anesthesia range, and taking into consideration the fluctuation characteristics of the measured values ​​of sedation and analgesia, the difference between the measured value and the ideal anesthesia range and the BIS value range in which the measured value is located are calculated, and based on this, the change in the amount of sedative injection can be adjusted in real time so that the measured value reaches within the ideal anesthesia range. Set a steady-state target adjustment range for the sedation index and the analgesia index; BIS<>(BIS L ,BIS H ), of which BIS is the actual measured value of BIS during the surgical procedure, and BIS L is the lower limit of the normal range of BIS under ideal conditions, and BIS H is the upper limit of the normal range for BIS under ideal conditions, CHO<>(CHO L ,CHO H ) and CHO is the real-time administration rate of the sedative drug, and CHO L is the lower limit of the administration rate of sedative drugs, and CHO H is the upper limit of the administration rate of sedative drugs, and CHO R is the normal rate of administration of sedative medications.

[0074] Based on this, BIS>BIS H In this case, if the actual BIS value is smaller than the BIS of the previous time period, CHO remains unchanged, and if the actual BIS value is larger than the BIS of the previous time period, HIS = BIS HH -BIS LH , CHO=CHO R +(CHO H -CHO R )*P H / HIS*(BIS-BIS LH ), among which BIS LH (BIS LH ,BIS HH ) lower limit of the interval, BIS H That's all, BIS HH (BIS LH ,BIS HH) upper limit of the interval and BIS HI That's all, and HIS (BIS LH ,BIS HH ) is the length of the interval, and P H is the maximum BIS value during the surgical procedure of the target subject (BIS LH ,BIS HH ) is a probability value in the interval.

[0075] BIS <BIS L In this case, if the actual BIS value is greater than the BIS value in the previous time period, CHO remains unchanged, and if the actual BIS value is less than the BIS value in the previous time period, LIS = BIS HL -BIS LL , CHO=CHO R -(CHO R -CHO L )*P L / 10*(BIS HL -BIS)), among which BIS LL (BIS LL ,BIS HL ) lower limit of the interval, BIS HL The following is BIS HH (BIS LL ,BIS HL ) upper limit of the interval and BIS L and LIS is (BIS LL ,BIS HL ) is the length of the interval, and P L is the minimum BIS value during the surgical procedure of the target object (BIS LL ,BIS HL ) is a probability value in the interval.

[0076] BIS<>(BIS L ,BIS H ), then CHO=CHO R is.

[0077] In a further preferred technical embodiment, the vital sign data may include at least blood pressure and heart rate, the second medication includes a blood pressure medication and a heart rate medication, the second administration result includes a blood pressure administration result and a heart rate administration result, and the vital sign maintenance administration module specifically includes: Querying the blood pressure and heart rate from a local database to obtain a second preset target range for blood pressure and a second preset target range for heart rate; Determine the blood pressure administration result of the blood pressure medication infused during the anesthesia process according to the queried blood pressure and the second target range of the acquired blood pressure; Determine the heart rate administration result of the heart rate medication infused during the anesthesia process according to the queried heart rate and the obtained target heart rate range; It is used to store the determined blood pressure and heart rate administration results in a local database.

[0078] To better understand the above technical aspects, the following description will be given in conjunction with specific examples. For example, the vital sign maintenance administration module can maintain the blood pressure and heart rate of the circulatory system at normal levels. Here, blood pressure is taken as an example. Based on the relationship between the detected blood pressure and the blood pressure range under ideal anesthesia (i.e., the second target range), the administration result of the blood pressure medication is calculated, and the blood pressure is adjusted and controlled based on this, thereby overcoming the indirect effect of the nervous system medication on the circulatory system and ensuring that the blood pressure is within the normal range (i.e., the second target range). In practical application, if the blood pressure is not within the normal range, it is preferable to first determine whether the anesthesia depth is within the normal range, and if the anesthesia depth is within the normal range, the blood pressure can be adjusted and controlled. The situation regarding the heart rate is similar, and will not be described again here.

[0079] 9a, in AI administration mode, Delay2 represents the preset time between two blood pressure medications, Delay3 represents the preset time between two heart rate medications, and count_BP2 represents the second infusion count for the blood pressure medication, and count_BP3 represents the second infusion count for the heart rate medication. As can be seen from the figure, the vital signs maintenance administration module determines the blood pressure administration result of the blood pressure medication based on the magnitude of the diastolic blood pressure (DBP) and systolic blood pressure (SBP) values, and increments count_BP2 by 1 after each automatic administration. Therefore, if the blood pressure has not yet reached the second target range after two automatic administrations, manual intervention is required to ensure the effectiveness of anesthesia. Similarly, the vital sign maintenance administration module determines the heart rate administration result of the heart rate medication based on the magnitude of the heart rate (HR) value. After each automatic administration, it increments count_BP3 by 1. If the heart rate has not yet reached the target range after the second automatic administration, it performs manual intervention in a timely manner to ensure the effectiveness of the anesthesia administration. The remifentanil module 2 in Figure 9a corresponds to blood pressure regulation control, and the specific workflow is shown in Figure 9b. Specifically, it determines the remifentanil administration rate based on the magnitude of the SBP or DBP value, and performs manual intervention if more than four administrations are performed. That is, if the blood pressure medication is not effective after two administrations, it performs remifentanil-based regulation. If the remifentanil medication is still not effective after two administrations, it performs manual intervention. Similarly, the remifentanil module 3 in Figure 9a corresponds to heart rate regulation control, and the specific workflow is shown in Figure 9c. Specifically, the remifentanil administration rate is determined based on the magnitude of the HR value, and manual intervention is performed if remifentanil is administered more than four times. The above several steps are linked to each other to further ensure the effectiveness and accuracy of anesthesia administration.

[0080] For example, since sedatives and analgesics have a depressant effect on circulatory function and respiratory function, the ideal state of circulatory function, blood pressure and heart rate, is as follows: SBP<>(SBP L ,SBP H ) DBP<>(DBP L ,DBP H ) HR<>(HR L ,HR H ), Of these, SBP is systolic blood pressure, (SBP L ,SBP H ) is the normal range of SBP under ideal conditions, DBP is the diastolic blood pressure, (DBP L ,DBP H ) is the normal range of DBP under ideal conditions, HR is the heart rate, (HR L ,HR H ) is the normal range of HR under ideal conditions. Based on this, RBP is the rated dose of vasopressor drugs, JBP is the rated dose of antihypertensive drugs, RHR is the rated dose of heart rate increasing drugs, and JHR is the rated dose of heart rate decreasing drugs. If SBP, DBP, and HR values ​​are detected and exceed the normal range, they are administered quantitatively.

[0081] Similar to the anesthesia depth maintenance administration module and the vital signs maintenance administration module, the workflow of the muscle relaxation maintenance administration module is further illustrated by way of example, specifically referring to FIG. 10. The muscle relaxation data (TOF) is obtained from the local database, and whether to administer a rated dose of muscle relaxant is determined based on the numerical relationship between the TOF and a preset muscle relaxation threshold (e.g., T in the figure). Based on this, if the muscle relaxant has been administered twice and the TOF has not yet reached the normal range, manual intervention can be performed to ensure the anesthetic effect.

[0082] The above specific embodiments do not limit the scope of protection of the present invention. Those skilled in the art should understand that various modifications, combinations, sub-combinations and substitutions are possible based on design requirements and other factors. Any modifications, equivalent substitutions and improvements made within the spirit and principle of the present invention should be included in the scope of protection of the present invention.

Claims

1. a control device having a local database, an administration module, and a visualization platform mounted thereon, a monitoring device, and a drug infusion device, each connected to the control device; The monitoring device is used to detect index data of a target subject at a preset anesthesia index and transmit the detected index data to the control device; The control device is used to store the received indicator data in the local database; The administration module is used to query the index data from the local database, determine an automatic administration result of the drug infused during the anesthesia process based on the retrieved index data, and store the determined automatic administration result in the local database; The visualization platform includes: used to query the index data and the automatic administration result from the local database and display the retrieved index data and the automatic administration result; Furthermore, after displaying the reference data and the automatic administration result, if a manually input local administration result for the drug is received, the received local administration result is used to store the received local administration result in the local database; The control device further obtains a currently applied administration mode, and queries the administration result corresponding to the administration mode from the local database; if the administration mode is an automatic administration mode, the administration result includes the automatic administration result; if the administration mode is an artificial administration mode, the administration result is used to include the local administration result; the control device is further adapted to send an administration command corresponding to the queried administration result to the drug infusion device, so as to infuse the drug to the target subject in accordance with the administration command received by the drug infusion device; the administration module includes an anesthesia depth maintenance administration module and a vital sign maintenance administration module, the index data includes a bispectral index and vital sign data, the vital sign data includes at least blood pressure and heart rate, the drugs include a first drug and a second drug, the first drug includes a sedative drug and an analgesic drug, the second drug includes a blood pressure drug and a heart rate drug, the automatic administration result includes a first administration result and a second administration result, the first administration result includes a sedative administration result and an analgesic administration result, and the second administration result includes a blood pressure administration result and a heart rate administration result; the anesthesia depth maintenance administration module is used to, when the EEG data of the target subject is not interfered with, query the bispectral index and the blood pressure from the local database, obtain a preset target range of the bispectral index and a first target range of the blood pressure, determine a sedative administration result of the sedative drug administered during the anesthesia process based on the retrieved bispectral index and the retrieved target range of the bispectral index, determine an analgesic administration result of the analgesic drug administered during the anesthesia process based on the retrieved bispectral index and the blood pressure, the retrieved target range of the bispectral index and the first target range of the blood pressure, and store the determined sedative administration result and the analgesic administration result in the local database; The anesthesia depth maintenance administration module is further used to obtain a first infusion count of the first drug, and when the first infusion count exceeds a first count threshold, switch the administration mode to the artificial administration mode and set the first infusion count to a first initial value; the vital sign maintenance administration module is used to query the blood pressure and the heart rate from the local database, and obtain a preset second target range of blood pressure and a target range of heart rate; determine a blood pressure administration result of the blood pressure medication infused during the anesthesia process according to the queried blood pressure and the obtained second target range of blood pressure, where the second target range of blood pressure is the blood pressure range in an ideal anesthesia state; determine a heart rate administration result of the heart rate medication infused during the anesthesia process according to the queried heart rate and the obtained target range of heart rate, where the target range of heart rate is the heart rate range in an ideal anesthesia state; and store the determined blood pressure administration result and heart rate administration result in the local database; The vital sign maintenance administration module is further used to obtain a second infusion count of the second drug, and when the second infusion count exceeds a second count threshold, switch the administration mode to the artificial administration mode and set the second infusion count to a second initial value. An anesthesia robot system.

2. The visualization platform includes: further configured to receive a manually input local switching command for the administration mode and to switch the administration mode in response to the local switching command; and when the administration mode is the artificial administration mode, the device is used to receive an artificially input local administration result for the drug. The system of claim 1 .

3. Further provided is a cloud server connected to the control device and having a remote operation platform and a cloud database installed therein; the control device is further used to query the index data and the automatic administration result from the local database, transmit the queried index data and the automatic administration result to the cloud database, and store the index data and the automatic administration result in the cloud database; The remote operation platform is used to query the index data and the automatic administration result from the cloud database, and display the queried index data and the automatic administration result. The system of claim 1 .

4. The remote operation platform is further adapted to store the received remote administration result in the cloud database when the remote operation platform receives the manually input remote administration result for the drug after displaying the queried index data and the automatic administration result. The artificial administration mode includes a local administration mode triggered by the visualization platform or a remote administration mode triggered by the remote operation platform, and the control device further specifically obtains a currently applied administration mode, and if the administration mode is the automatic administration mode or the local administration mode, queries the administration result corresponding to the administration mode from the local database; if the administration mode is the local administration mode, the administration result is used to include the local administration result; The control device is further used to, when the administration mode is the remote administration mode, query the remote administration result from the cloud database and set the queried remote administration result as the administration result corresponding to the administration mode.

4. The system of claim 3.

5. The remotely operated platform includes: further configured to receive a manually input remote switching command for the administration mode and to switch the administration mode in response to the remote switching command; and when the administration mode is the remote administration mode, the remote administration mode is used to receive an artificially input remote administration result for the drug.

5. The system of claim 4.

6. The remote operation platform is further configured to, when receiving a history data query command, query the index data, the automatic administration result, and the remote administration result stored in the history from the cloud database in response to the history data query command, and display the queried index data, the automatic administration result, and the remote administration result.

5. The system of claim 4.

7. The visualization platform includes: Specifically, the local database is used to query the index data and the automatic administration result, and to display the retrieved index data and the automatic administration result based on a currently applied data display method; and / or Furthermore, if there is an abnormality in the referenced index data, the information is used to issue an alarm for the abnormal index data. The system of claim 1 .

8. the dosing module makes iterative adjustments based on the index data, the automated dosing results, and the local dosing results. The system of claim 1 .

9. the administration module further comprises a maintenance muscle relaxation administration module, the vital sign data includes muscle relaxation data, the medication further includes a muscle relaxation medication, and the automated administration result further includes a muscle relaxation administration result; The muscle relaxant maintenance administration module is used to query the muscle relaxant data from the local database, determine a muscle relaxant administration result of the muscle relaxant drug infused during the anesthesia process based on the query muscle relaxant data, and store the determined muscle relaxant administration result in the local database. The system of claim 1 .

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