Patient postoperative rehabilitation guidance system based on nerve electrophysiology monitoring

Abstract

The invention relates to the technical field of neurology department electromyography room nursing, in particular to a patient postoperative rehabilitation guidance system based on neuroelectrophysiology monitoring, which is established on the basis of collecting and analyzing data on the basis of implementing neuroelectrophysiology monitoring on a patient. And a strategy policy of a rehabilitation guidance model is reasonably provided for monitored real-time data. According to the system, on the premise that neuroelectricity monitoring is carried out on a patient to obtain electromyogram data, the electromyogram data are analyzed and screened, and therefore it is guaranteed that a doctor can put forward scientific and effective targeted rehabilitation guidance policies according to comprehensive analysis of all the data; and after an expert makes a rehabilitation guidance policy for the electromyogram data of the patient in a targeted manner according to the system, the rehabilitation guidance policy is stored for a long time through a storage system in the system, so that the working efficiency of nursing is improved.

Description

Technical Field

[0001] The invention relates to the technical field of neurology electromyography room nursing, and in particular to a patient postoperative rehabilitation guidance system based on neuroelectrophysiological monitoring. Background Art

[0002] Neuroelectrophysiology is a method that uses electrophysiological instruments, microelectrodes, voltage clamps and patch clamp techniques to record or measure changes in membrane potential, conduction velocity and ion channel activity of whole animals or isolated organ tissues, nerves and cell ion channels.

[0003] The neuroelectric system has the advantages of high efficiency and high detection reliability. After obtaining electromyographic data through neuroelectric monitoring of patients, targeted treatment strategies can be proposed based on the patient's electromyographic data. When patients are in the postoperative care stage, this method can more effectively help patients recover from surgery. The current postoperative care method is not conducive to the patient's postoperative recovery because it cannot provide nursing guidance through a scientific and effective model. When the number of patients is too high, the workflow of doctors diagnosing the patient's condition on site and proposing guiding nursing methods makes the work inefficient. Therefore, it is urgent to design a patient postoperative rehabilitation guidance system based on neuroelectrophysiological monitoring to solve the above problems. Summary of the invention

[0004] The purpose of the present invention is to provide a patient postoperative rehabilitation guidance system based on neuroelectrophysiological monitoring, so as to solve the problem that the current postoperative care method proposed in the above background technology is not conducive to the patient's postoperative recovery because it cannot provide nursing guidance through a scientific and effective model, and when the number of patients is too high, the workflow of doctors diagnosing the patient's condition on site and proposing guiding nursing methods leads to low work efficiency.

[0005] To achieve the above-mentioned purpose, the present invention provides the following technical solutions: the system is established on a strategy of collecting and analyzing data based on neuroelectrophysiological monitoring of patients, and providing a rehabilitation guidance model for rationalizing the monitored real-time data. The system has three basic modules, namely a front-end module, a central module and a back-end module. The front-end module includes a monitoring port, a data cache port, a data transmission port and a data display port. The central module includes a rehabilitation guidance model library, a data comparison port, an instruction port and an information feedback port. The back-end module includes an expert demonstration platform, a tracking and verification port and a model cache port.

[0006] Preferably, the front-end module is mainly used to implement neuroelectric monitoring of patients and collect and transmit electromyography data, and provide rehabilitation guidance model feedback to nursing workers. The central module is mainly used to analyze and collect the data monitored by the front-end module, and transmit the rehabilitation guidance model to the front-end module or provide new monitoring data to the back-end module through data comparison. The back-end module is mainly used to analyze and study the new monitoring data transmitted by the central module, so as to determine a targeted rehabilitation guidance model to guide the care of patients.

[0007] Preferably, the monitoring port is mainly used for electrophysiological monitoring of the patient, specifically by recording the electrical activity of the muscle at rest and when contracted using electronic instruments, and then obtaining electromyographic data. The data cache port is mainly used for preliminary storage of the electromyographic data monitored by the monitoring port, specifically by recording the electromyographic data of the current patient, and updating and replacing the data during the next monitoring.

[0008] Preferably, the data transmission port is mainly used to transmit the data monitored by the monitoring port, specifically to transmit the patient's electromyography data to the central module for data analysis and screening; the model display port is mainly used to receive the rehabilitation guidance model data transmitted by the central module and the back-end module, so as to implement targeted nursing measures for the patient through the model.

[0009] Preferably, the rehabilitation guidance model library is mainly used to store existing rehabilitation guidance models, specifically to store rehabilitation guidance models, so as to ensure that the data monitored by the front-end module can have corresponding guidance data. The rehabilitation guidance model is a nursing method for targeted rehabilitation of patients, which is specifically described as providing recommendations and strategies for the medication, rehabilitation training guidelines, and dietary habits required by the patient at this stage. The data comparison window is mainly used to compare and analyze the established data with the data established by the front-end module, specifically to retrieve the model data from the rehabilitation guidance model library, and then compare and analyze it with the data monitored by the monitoring port.

[0010] Preferably, the data receiving port is mainly used to receive the data signal sent by the front-end module, specifically to receive the data signal sent by the data transmission port and transfer it to the data comparison port; the instruction port is mainly used to transmit instructions to several groups of modules, specifically to control the operation of the modules through signal transmission; the information feedback port is mainly used to feedback the information screened by the central module, specifically to feedback the rehabilitation guidance model corresponding to the data result compared with the data comparison port to the model display port.

[0011] Preferably, the expert discussion platform includes a data display platform, a technical discussion window and a push port. The data display platform is mainly used to comprehensively display and announce new data, mainly for feedback display of data that cannot be matched with the data in the rehabilitation guidance model library in the data comparison port. The technical discussion window is mainly a platform for experts to conduct technical discussions, specifically for targeted policy designation for new data, so as to derive a new rehabilitation guidance model. The steps for establishing the new rehabilitation guidance model are treatment policy inference, effectiveness evaluation, multi-level supervision and auditing, and model finalization. The push port is mainly used to push the rehabilitation guidance model, specifically for pushing the new rehabilitation guidance model finalized in the technical discussion window to the model display port.

[0012] Preferably, the model cache port is mainly used to cache the new rehabilitation guidance model, specifically to process the new rehabilitation guidance model according to the result determined by the tracking and verification port. The tracking and verification port is mainly used to track and observe the rehabilitation guidance model, specifically to inspect and identify the new rehabilitation guidance model for a period of time. It has a judgment mechanism inside. When the new rehabilitation guidance model is determined to be invalid, it will feedback information to the expert argumentation platform to re-discuss the design of the guidance model, and at the same time feedback information to the model cache port to eliminate the cached model. When the new rehabilitation guidance model is determined to be valid, it will send information to the model cache port, so that the model cache port will transmit the new rehabilitation guidance model to the rehabilitation guidance model library and store it in the background.

[0013] Compared with the prior art, the present invention has the following beneficial effects:

[0014] 1. The system of the present invention analyzes and screens the electromyographic data by performing neuroelectric monitoring on the patient to obtain electromyographic data, thereby ensuring that doctors can propose scientific and effective targeted rehabilitation guidelines based on comprehensive analysis of various data to help patients achieve better recovery effects after surgery.

[0015] 2. After the experts formulate targeted rehabilitation guidelines based on the patient's electromyography data, the data will be stored for a long time through the system's internal storage system. When the corresponding data is monitored again in the future, the system can autonomously display the optimal policy that has been designed for nursing guidance, thereby improving the efficiency of nursing work. BRIEF DESCRIPTION OF THE DRAWINGS

[0016] Figure 1 It is a schematic diagram of the system flow of the present invention; DETAILED DESCRIPTION

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

[0018] See also Figure 1 , an embodiment provided by the present invention:

[0019] The patient postoperative rehabilitation guidance system based on neuroelectrophysiological monitoring includes: the system is established on a strategy of collecting and analyzing data based on neuroelectrophysiological monitoring of patients, and rationalizing and providing rehabilitation guidance models for the monitored real-time data. The system has three basic modules, namely, a front-end module, a central module and a back-end module. The front-end module includes a monitoring port, a data cache port, a data transmission port and a data display port. The central module includes a rehabilitation guidance model library, a data comparison port, an instruction port and an information feedback port. The back-end module includes an expert demonstration platform, a tracking verification port and a model cache port. The system performs preliminary detection on the patient through the front-end module to obtain electromyographic data, and then transmits the data to the central module for comparison processing, so as to transmit instructions according to the data results. When the system retrieves the corresponding data model inside, the model feedback of the rehabilitation guidance model library is performed on the front-end module. When the system retrieves that there is no rehabilitation model matching the current data in the system, the system organizes experts to conduct demonstration and review through the back-end module, so as to design targeted guidance policies according to the monitoring data.

[0020] Furthermore, the front-end module is mainly used to implement neuroelectric monitoring on patients and collect and transmit electromyography data, and provide rehabilitation guidance models to nursing workers. The central module is mainly used to analyze and collect the data monitored by the front-end module, and transmit the rehabilitation guidance model of the front-end module or provide new monitoring data to the back-end module through data comparison. The back-end module is mainly used to analyze and study the new monitoring data transmitted by the central module, so as to determine a targeted rehabilitation guidance model to guide the care of patients. The setting of the front-end module enables the system to obtain a large amount of data, which can be retrieved in the central module. This process is to expand the internal database of the system. The retrieval of the central module is to remove the specificity of the data. When there is new data, the back-end module can analyze the data and establish targeted policies in a timely manner to ensure that the system can give corresponding guidance plans for all monitoring data.

[0021] Furthermore, the monitoring port is mainly used for electrophysiological monitoring of the patient, specifically, by using electronic instruments to record the electrical activity of the muscle when it is at rest and contracted, and then obtaining electromyographic data. The data cache port is mainly used for preliminary storage of the electromyographic data monitored by the monitoring port, specifically, recording the electromyographic data of the current patient, and updating and replacing the data during the next monitoring. By establishing the data cache port, it is ensured that the currently monitored data can be stored in the front-end module. If there is a corresponding data model in the central module, the data cache port will delete the data. If there is no corresponding data model in the central module, after the new rehabilitation guidance model is designed by the back-end module, it is necessary to test the effectiveness of the model through nursing practice. This effectiveness test needs to be achieved by comparing the real-time monitoring data with the data cached by the data cache port. When the data undergoes a positive change, it proves that the newly established rehabilitation guidance model is effective. When the data undergoes a negative change or no change, it proves that the new rehabilitation guidance model is invalid.

[0022] Furthermore, the data transmission port is mainly used to transmit the data monitored by the monitoring port, specifically to transmit the patient's electromyography data to the central module, so as to analyze and screen the data. The model display port is mainly used to receive the rehabilitation guidance model data transmitted by the central module and the back-end module, so as to implement targeted nursing measures for the patient through the model. The data transmission port aims to establish data communication between the front-end module and the central module, analyze the data through the central module, and then transmit the corresponding rehabilitation guidance model to the model display port, so that the caregiver can carry out targeted care based on the feedback model.

[0023] Furthermore, the rehabilitation guidance model library is mainly used to store existing rehabilitation guidance models, specifically to store rehabilitation guidance models, so as to ensure that the data monitored by the front-end module can have corresponding guidance data. The rehabilitation guidance model is a nursing method for targeted rehabilitation of patients, specifically described as providing recommendations and strategies for the medication, rehabilitation training guidelines, and dietary habits required by the patient at this stage. The data comparison window is mainly used to compare and analyze the established data with the data established by the front-end module, specifically to retrieve model data from the rehabilitation guidance model library, and then compare and analyze it with the data monitored by the monitoring port. The data comparison port can retrieve data from the rehabilitation guidance model library through data comparison. When the detection data remains within the corresponding rehabilitation guidance model numerical range, the data comparison port can call out the model through the instruction port, and then feed it back to the model display port through the information feedback port.

[0024] Furthermore, the data receiving port is mainly used to receive the data signal sent by the front-end module, specifically to receive the data signal sent by the data transmission port and transfer it to the data comparison port. The command port is mainly used to transmit commands to several groups of modules, specifically to control the operation of the modules through signal transmission. The information feedback port is mainly used to feedback the information screened by the central module, specifically to feedback the rehabilitation guidance model corresponding to the data result compared with the data comparison port to the model display port.

[0025] Furthermore, the expert discussion platform includes a data display platform, a technical discussion window and a push port. The data display platform is mainly used to comprehensively display and announce new data, mainly for feedback display of data in the data comparison port that cannot be matched with the data in the rehabilitation guidance model library. The technical discussion window is mainly a platform for experts to conduct technical discussions, specifically for targeted policy designation for new data, so as to derive a new rehabilitation guidance model. The steps for establishing a new rehabilitation guidance model are treatment policy inference, effectiveness evaluation, multi-level supervision and auditing, and model finalization. The push port is mainly used to push the rehabilitation guidance model, specifically for pushing the new rehabilitation guidance model finalized in the technical discussion window to the model display port. Through the establishment of the expert discussion platform, the rehabilitation guidance model library can be continuously expanded with data to ensure the comprehensiveness of the system's feedback on nursing.

[0026] Furthermore, the model cache port is mainly used to cache the new rehabilitation guidance model, specifically to process the new rehabilitation guidance model according to the results determined by the tracking and verification port. The tracking and verification port is mainly used to track and observe the rehabilitation guidance model, specifically to test and identify the new rehabilitation guidance model for a period of time. It has a judgment mechanism inside. When the new rehabilitation guidance model is determined to be invalid, it will feedback information to the expert argumentation platform to re-discuss the design of the guidance model, and at the same time feedback information to the model cache port to eliminate the cached model. When the new rehabilitation guidance model is determined to be valid, it will send information to the model cache port so that the model cache port will transfer the new rehabilitation guidance model to the rehabilitation guidance model library and store it in the background. The tracking and verification port is established to detect the effectiveness of the new rehabilitation guidance model. After the new rehabilitation guidance model is established through the expert argumentation platform, the tracking and verification port will track it in the background until the next neuroelectric monitoring data of the patient appears.

[0027] Working principle: After the monitoring port in the front-end module acquires the electromyogram data of the patient, the data will be stored in the data cache port first, and at the same time sent to the data receiving port through the data transmission port. After receiving the data signal from the front-end module, the data receiving port will compare and retrieve the data with the model data in the rehabilitation guidance model library through the internal data comparison port. When the comparison port retrieves that the obtained data is consistent with the specific model data setting range in the rehabilitation guidance model library, it will call out the corresponding guidance model and issue a command through the command port to the information feedback port, so that it will feedback the guidance model to the model display port. When the data comparison port fails to retrieve an appropriate data model in the existing rehabilitation guidance model library, it will send the monitoring data through the command port to the expert demonstration platform of the back-end module, so that it will be announced on the data display platform. At this time, the expert demonstration platform will organize technical discussions based on the measured data and establish a targeted approach for the data. The rehabilitation guidance model will be sent from the push port to the data display port for feedback after the model is established. The background tracking program will be started through the tracking and verification port of the back-end module and maintained until the next monitoring starts. When the tracking and verification port is started, the new rehabilitation guidance model will be sent to the model cache port for storage first. When the next monitoring data appears, the tracking and verification port will call out the previous monitoring data from the data cache port of the front-end module and compare it with the new data. When the new data has a positive change relative to the old data, the tracking and verification port will judge the new rehabilitation guidance model as valid. At this time, the model cache port will send the new rehabilitation guidance model to the rehabilitation guidance model library for storage. When the tracking and verification port detects that the new data has a negative change or no obvious change, it will command the model cache port to destroy the new rehabilitation guidance model and feedback the information to the expert demonstration platform, thereby starting a new round of rehabilitation guidance model establishment.

[0028] It will be apparent to those skilled in the art that the invention is not limited to the details of the exemplary embodiments described above and that the invention can be implemented in other specific forms without departing from the spirit or essential features of the invention. Therefore, the embodiments should be considered exemplary and non-limiting in all respects, and the scope of the invention is defined by the appended claims rather than the foregoing description, and it is intended that all variations falling within the meaning and scope of the equivalent elements of the claims be included in the invention. Any reference numeral in a claim should not be considered as limiting the claim to which it relates.

Claims

1. A patient postoperative rehabilitation guidance system based on neuroelectrophysiological monitoring, characterized in that: include: The system is based on a strategy of collecting and analyzing data based on neuroelectrophysiological monitoring of patients, and providing a rehabilitation guidance model for the rationalization of the monitored real-time data. The system has three basic modules, namely the front-end module, the central module and the back-end module. The front-end module includes a monitoring port, a data cache port, a data transmission port and a data display port. The central module includes a rehabilitation guidance model library, a data comparison port, an instruction port and an information feedback port. The back-end module includes an expert demonstration platform, a tracking and verification port and a model cache port.

2. The patient postoperative rehabilitation guidance system based on neuroelectrophysiological monitoring according to claim 1, characterized in that: The front-end module is mainly used to implement neuroelectric monitoring of patients and collect and transmit electromyography data, and provide nursing staff with feedback on rehabilitation guidance models. The central module is mainly used to analyze and collect data monitored by the front-end module, and transmit the rehabilitation guidance model to the front-end module or provide new monitoring data to the back-end module through data comparison. The back-end module is mainly used to analyze and study the new monitoring data transmitted by the central module, so as to determine targeted rehabilitation guidance models to guide the care of patients.

3. The patient postoperative rehabilitation guidance system based on neuroelectrophysiological monitoring according to claim 1, characterized in that: The monitoring port is mainly used for electrophysiological monitoring of the patient, specifically by recording the electrical activity of the muscle at rest and when contracted using electronic instruments, and then obtaining electromyographic data. The data cache port is mainly used for preliminary storage of the electromyographic data monitored by the monitoring port, specifically by recording the electromyographic data of the current patient, and updating and replacing the data during the next monitoring.

4. The patient postoperative rehabilitation guidance system based on neuroelectrophysiological monitoring according to claim 3 is characterized in that: The data transmission port is mainly used to transmit the data monitored by the monitoring port, specifically to transmit the patient's electromyography data to the central module for data analysis and screening. The model display port is mainly used to receive the rehabilitation guidance model data transmitted by the central module and the back-end module, so as to implement targeted nursing measures for the patient through the model.

5. The patient postoperative rehabilitation guidance system based on neuroelectrophysiological monitoring according to claim 1, characterized in that: The rehabilitation guidance model library is mainly used to store existing rehabilitation guidance models, specifically to store rehabilitation guidance models, so as to ensure that the data monitored by the front-end module can have corresponding guidance data. The rehabilitation guidance model is a nursing method for targeted rehabilitation of patients, specifically described as providing recommendations and strategies for the medication, rehabilitation training guidelines, and dietary habits required by patients at this stage. The data comparison window is mainly used to compare and analyze the established data with the data established by the front-end module, specifically to retrieve model data from the rehabilitation guidance model library, and then compare and analyze it with the data monitored by the monitoring port.

6. The patient postoperative rehabilitation guidance system based on neuroelectrophysiological monitoring according to claim 1, characterized in that: The data receiving port is mainly used to receive the data signal sent by the front-end module, specifically to receive the data signal sent by the data transmission port and transfer it to the data comparison port. The command port is mainly used to transmit commands to several groups of modules, specifically to control the operation of the modules through signal transmission. The information feedback port is mainly used to feedback the information screened by the central module, specifically to feedback the rehabilitation guidance model corresponding to the data results compared with the data comparison port to the model display port.

7. The patient postoperative rehabilitation guidance system based on neuroelectrophysiological monitoring according to claim 1, characterized in that: The expert discussion platform includes a data display platform, a technical discussion window and a push port. The data display platform is mainly used to comprehensively display and announce new data, mainly for feedback display of data that cannot be matched with the data in the rehabilitation guidance model library in the data comparison port. The technical discussion window is mainly a platform for experts to conduct technical discussions, specifically to specify targeted policies for new data, so as to derive a new rehabilitation guidance model. The steps for establishing a new rehabilitation guidance model are treatment policy inference, effectiveness evaluation, multi-level supervision and review, and model finalization. The push port is mainly used to push the rehabilitation guidance model, specifically to push the new rehabilitation guidance model finalized in the technical discussion window to the model display port.

8. The patient postoperative rehabilitation guidance system based on neuroelectrophysiological monitoring according to claim 1, characterized in that: The model cache port is mainly used to cache the new rehabilitation guidance model, specifically to process the new rehabilitation guidance model according to the results determined by the tracking and verification port. The tracking and verification port is mainly used to track and observe the rehabilitation guidance model, specifically to test and identify the new rehabilitation guidance model for a period of time. It has a judgment mechanism inside. When the new rehabilitation guidance model is determined to be invalid, it will feedback information to the expert argumentation platform to re-discuss the design of the guidance model, and at the same time feedback information to the model cache port to eliminate the cached model. When the new rehabilitation guidance model is determined to be valid, it will send information to the model cache port, so that the model cache port will transmit the new rehabilitation guidance model to the rehabilitation guidance model library and store it in the background.

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