A data management system and method based on anesthesia for shoulder arthroscopy surgery

Abstract

The present invention relates to the technical field of data acquisition and processing, and discloses a data management system and method based on shoulder arthroscopic surgery anesthesia, the system comprising an analgesic experiment data sampling time judgment module, an analgesic experiment data acquisition module, and an analgesic experiment data processing feedback module; intelligent and accurate recognition of the pain site of the shoulder arthroscopic surgery patient is performed through standard image information of different parts of the human body stored based on big data combined with an intelligent recognition algorithm and image parameters of the pain pointing site of the shoulder arthroscopic surgery patient, so as to achieve scientific and accurate recognition and processing of the pain site information of the shoulder arthroscopic surgery patient; standard setting of shoulder joint exercise function status image parameters of shoulder arthroscopic surgery patients combined with an intelligent search algorithm and image parameters of the shoulder joint exercise function status of shoulder arthroscopic surgery patients to efficiently and timely analyze the shoulder joint exercise function recovery status of shoulder arthroscopic surgery patients, so as to improve the scientific nature of shoulder arthroscopic surgery anesthesia data management.

Description

Technical Field

[0001] The present invention relates to the technical field of data acquisition and processing, and in particular to a data management system and method based on shoulder arthroscopic surgery anesthesia. Background Art

[0002] Postoperative pain after shoulder arthroscopic repair and reconstruction surgery affects patients' exercise function and increases the risk of related cardiovascular and cerebrovascular complications. At present, there is a lack of corresponding standardized perioperative management programs for shoulder arthroscopic repair and reconstruction surgery. The existing analgesia program for patients undergoing shoulder arthroscopic surgery compares the postoperative analgesic effect, adverse reactions, patient satisfaction and the effect on postoperative functional rehabilitation exercise of the shoulder joint between the continuous posterior interscalene brachial plexus block analgesia program and the intravenous patient-controlled analgesia program, and scientifically and efficiently analyzes the optimal postoperative analgesia program with good analgesic effect, few complications and conducive to postoperative functional rehabilitation of patients; however, the current evaluation process of analgesia programs for patients undergoing shoulder arthroscopic surgery requires medical staff to regularly collect analgesia experimental index data for the two analgesia programs from patients using the continuous posterior interscalene brachial plexus block analgesia program and the intravenous patient-controlled analgesia program, which increases the workload and accuracy of the research on analgesia programs for patients undergoing shoulder arthroscopic surgery.

[0003] A Chinese invention patent with announcement number CN118377770B discloses a metadata collection and management method, which obtains metadata and management metadata of metadata tables and processes data tables into a lake; extracts technical metadata in metadata tables after data access to generate lake-entry metadata, thereby forming metadata information of data assets released to the outside; implements regular updates of source databases through regular collection; performs difference comparison and updates on metadata to be released; and realizes the linkage between data access and data asset inventory work by comparing lake-entry data with metadata of inventory-released assets; however, the above technical solutions cannot realize dynamic and efficient metadata collection in specific application fields, thereby increasing the workload and accuracy of data collection. Summary of the invention

[0004] 1. Technical issues to be resolved

[0005] In order to solve the problem that the current evaluation process of analgesia regimen for patients undergoing shoulder arthroscopy requires medical staff to regularly collect analgesia experimental index data for two analgesia regimens from patients using continuous posterior interscalene brachial plexus block analgesia regimen and patients using intravenous controlled analgesia regimen, thereby increasing the workload and accuracy of research on analgesia regimens for patients undergoing shoulder arthroscopy, the purpose of accurately collecting the real-time time point of analgesia experiment for shoulder arthroscopy, accurately judging the data collection time of analgesia experiment for shoulder arthroscopy, intuitively outputting the prompt content information of analgesia experiment index collection for shoulder arthroscopy, dynamically collecting text data of pain characteristics of patients undergoing shoulder arthroscopy, image information of pain-directed parts of patients undergoing shoulder arthroscopy, text information of complication characteristics of patients undergoing shoulder arthroscopy, text information of surgical satisfaction of patients undergoing shoulder arthroscopy, real-time active image information of shoulder joints of patients undergoing shoulder arthroscopy, intelligently identifying the pain parts of patients undergoing shoulder arthroscopy, scientifically analyzing the recovery status of shoulder joint exercise function of patients undergoing shoulder arthroscopy, and dynamically feeding back analgesia experimental index data of patients undergoing shoulder arthroscopy is achieved.

[0006] (II) Technical solution

[0007] The present invention is implemented by the following technical solution: a data management method based on shoulder arthroscopic surgery anesthesia, the method comprising the following steps:

[0008] S1. Collect real-time data of shoulder arthroscopic surgery analgesia experiment;

[0009] S2, performing a time point judgment process for collecting the shoulder arthroscopy analgesia experiment data according to the real-time time point data of the shoulder arthroscopy analgesia experiment and the sampling time point data of the shoulder arthroscopy analgesia experiment, and generating the shoulder arthroscopy analgesia experiment data collection time judgment data; when the sampling time has not been reached, ending the shoulder arthroscopy analgesia experiment data collection operation;

[0010] S3. When the sampling time has arrived, the shoulder arthroscopy surgery analgesia experiment indicator collection text data is used to perform the shoulder arthroscopy surgery analgesia experiment indicator collection information prompt operation;

[0011] S4, collecting text data on pain characteristics of patients undergoing shoulder arthroscopy, image data on pain-directed areas of patients undergoing shoulder arthroscopy, text data on complication characteristics of patients undergoing shoulder arthroscopy, text data on surgical satisfaction of patients undergoing shoulder arthroscopy, and real-time image data on shoulder joint activity of patients undergoing shoulder arthroscopy;

[0012] S5, performing pain location identification processing on the patient undergoing shoulder arthroscopy surgery according to the image data of the pain location of the patient undergoing shoulder arthroscopy surgery and the standard image data of different parts of the human body, and generating pain location identification data for the patient undergoing shoulder arthroscopy surgery;

[0013] S6, performing analysis and processing on the shoulder joint exercise function recovery state of the shoulder joint of the shoulder arthroscopy surgery patient according to the real-time activity image data of the shoulder joint of the shoulder arthroscopy surgery patient and the image data of the shoulder joint exercise function state of the shoulder joint of the shoulder arthroscopy surgery patient, and generating analysis data on the shoulder joint exercise function recovery state of the shoulder joint of the shoulder arthroscopy surgery patient;

[0014] S7. Construct the analgesia experimental indicator data for patients undergoing shoulder arthroscopy and perform the analgesia experimental indicator feedback task for patients undergoing shoulder arthroscopy.

[0015] Preferably, the operation steps for collecting real-time time point data of shoulder arthroscopic surgery analgesia experiment are as follows:

[0016] S11. Collect the current real-time time point text information of the analgesia experiment process of the shoulder arthroscopy surgery patient online through the time timing module, and generate the real-time time point data of the shoulder arthroscopy surgery analgesia experiment ,in The units are year, month, day and hour.

[0017] The present invention dynamically and accurately collects real-time time point information of shoulder arthroscopic surgery analgesia experiments through a time timing module, thereby achieving the effect of accurately monitoring the data collection time of the analgesia experiment of shoulder arthroscopic surgery patients and providing real data support.

[0018] Preferably, the time point judgment processing of the shoulder arthroscopy analgesia experiment data collection is performed based on the real-time time point data of the shoulder arthroscopy analgesia experiment and the sampling time point data of the shoulder arthroscopy analgesia experiment to generate the shoulder arthroscopy analgesia experiment data collection time judgment data; when the sampling time is not reached, the operation steps of ending the shoulder arthroscopy analgesia experiment data collection operation are as follows:

[0019] S21. Establishing a data set of sampling time points for shoulder arthroscopy analgesia experiment , ;in Indicates Data of sampling time points of shoulder arthroscopy analgesia experiment, represents the maximum number of sampling time points for shoulder arthroscopic surgery analgesia experiment; the sampling time point data for shoulder arthroscopic surgery analgesia experiment represents the time point parameters for collecting standard experimental data set during the experimental process of shoulder arthroscopic surgery patients using different analgesia schemes, The units are year, month, day and hour; the analgesic regimen includes continuous posterior interscalene brachial plexus block analgesia and intravenous patient-controlled analgesia;

[0020] S22, the real-time time point data of the shoulder arthroscopy analgesia experiment Data collection of sampling time points related to the shoulder arthroscopy analgesia experiment Data on sampling time points of the shoulder arthroscopic surgery analgesia experiment described in Perform time point data matching and generate shoulder arthroscopy surgery analgesia experiment data collection time judgment data based on the time point data matching results ;

[0021] when and The time point data matching is successful, indicating that the current time has reached the shoulder arthroscopy surgery analgesia experiment sampling time, and the shoulder arthroscopy surgery analgesia experiment data collection time judgment data is output. The sampling time has been reached;

[0022] when and If the time point data are not matched successfully, it means that the current time has not reached the shoulder arthroscopy analgesia experiment sampling time, then the shoulder arthroscopy analgesia experiment data collection time judgment data is output. Because the sampling time has not been reached, the data collection operation for the shoulder arthroscopic surgery analgesia experiment is terminated.

[0023] The present invention scientifically presets the sampling time point parameters of the shoulder arthroscopy analgesia experiment and combines numerical analysis with the sampling time point parameters of the shoulder arthroscopy analgesia experiment to accurately monitor the data collection time points of the shoulder arthroscopy analgesia experiment, thereby achieving the effect of accurately and conveniently monitoring the data collection of the shoulder arthroscopy analgesia experiment.

[0024] Preferably, when the sampling time is reached, the operation steps of performing the prompting operation of the information to be collected of the shoulder arthroscopy surgery analgesia experiment index according to the shoulder arthroscopy surgery analgesia experiment index collection text data are as follows:

[0025] S31, when the shoulder arthroscopy surgery analgesia experimental data collection time judgment data When the sampling time has arrived, establish the shoulder arthroscopy surgery analgesia experimental index to collect text data , the shoulder arthroscopy analgesia experiment index collection text data represents the analgesia experiment index text information that needs to be collected during the shoulder arthroscopy analgesia experiment, and the analgesia experiment index text information includes the patient's shoulder rest VAS score text data, shoulder activity VAS score text data, pain site text information, complication text information, shoulder arthroscopy satisfaction and shoulder joint exercise function recovery status text information; wherein the VAS scoring standard is as follows: ‌0 points‌, indicating that the patient has no pain in the shoulder joint; ‌1 point to 3 points‌, indicating that the patient has mild shoulder joint pain; ‌4 points to 6 points‌, the patient has moderate shoulder joint pain; ‌7 points to 9 points‌, indicating that the patient has severe shoulder joint pain; ‌10 points‌, indicating that the patient has severe shoulder joint pain; the pain sites include the patient's face, neck, chest and shoulder joint; complications include nausea, vomiting, puncture site infection and puncture site bleeding symptoms; shoulder arthroscopy satisfaction includes excellent, good, medium and poor; shoulder joint exercise function recovery status text information represents the shoulder joint exercise function recovery status information of patients after shoulder arthroscopy surgery;

[0026] S32, collecting text data of the shoulder arthroscopy surgery analgesia experimental index through a mobile terminal The information to be collected of the analgesia experiment index for shoulder arthroscopy surgery is output, and the shoulder arthroscopy surgery patient is prompted to fill in the information according to the analgesia experiment index object, and the mobile terminal includes any one of a smart phone, a tablet computer and a smart watch.

[0027] The present invention achieves the effect of improving the accuracy and efficiency of shoulder arthroscopic surgery analgesia experiment data collection by standardly storing shoulder arthroscopic surgery analgesia experiment index collection text information and combining it with a mobile terminal to provide intuitive visualization prompts for the information to be collected in the shoulder arthroscopic surgery analgesia experiment, thereby achieving the effect of improving the accuracy and efficiency of shoulder arthroscopic surgery analgesia experiment data collection.

[0028] Preferably, the steps of collecting text data of pain characteristics of patients undergoing shoulder arthroscopy, image data of pain-directed sites of patients undergoing shoulder arthroscopy, text data of complication characteristics of patients undergoing shoulder arthroscopy, text data of surgical satisfaction of patients undergoing shoulder arthroscopy, and real-time activity image data of shoulder joints of patients undergoing shoulder arthroscopy are as follows:

[0029] S41. Collect the resting VAS score text data and the active VAS score text data of the shoulder joint of the patients undergoing shoulder arthroscopy surgery with different analgesia schemes online through the mobile terminal data input dialog box, and generate a text data set of pain characteristics of the patients undergoing shoulder arthroscopy surgery , , ;in Indicates the use of The first analgesic regimen The text data of pain characteristics of shoulder arthroscopy patients corresponding to shoulder arthroscopy patients, represents the maximum number of patients undergoing shoulder arthroscopy; It indicates that patients undergoing shoulder arthroscopy should use continuous posterior interscalene brachial plexus block for analgesia. Indicates that patients undergoing shoulder arthroscopy should use an intravenous patient-controlled analgesia regimen;

[0030] The mobile terminal camera is used to collect online image information of the finger pointing pain site of patients undergoing shoulder arthroscopy with different analgesia schemes, and a data set of images of the pain site of patients undergoing shoulder arthroscopy is generated. ,in Indicates the use of The first analgesic regimen Image data of pain-directed areas of shoulder arthroscopy patients corresponding to shoulder arthroscopy patients;

[0031] The text information of complications of patients undergoing shoulder arthroscopy with different analgesia regimens is collected online through the mobile terminal data input dialog box, and a text data set of complications of patients undergoing shoulder arthroscopy is generated. ,in Indicates the use of The first analgesic regimen Characteristic text data of shoulder arthroscopic surgery patients' complications corresponding to each shoulder arthroscopic surgery patient;

[0032] The text information of shoulder arthroscopy surgery satisfaction evaluation of patients undergoing shoulder arthroscopy with different analgesia regimens is collected online through the mobile terminal data input dialog box, and a text data set of shoulder arthroscopy surgery satisfaction is generated. ,in Indicates the use of The first analgesic regimen Text data of shoulder arthroscopy surgery satisfaction of patients corresponding to shoulder arthroscopy surgery patients;

[0033] The real-time motion image information of the shoulder joint of patients undergoing shoulder arthroscopy surgery with different analgesia schemes is collected online through a head-mounted camera, and a data set of real-time motion images of the shoulder joint of patients undergoing shoulder arthroscopy surgery is generated. ,in Indicates the use of The first analgesic regimen Real-time motion image data of the shoulder joint of a patient undergoing shoulder arthroscopy corresponding to a patient undergoing shoulder arthroscopy.

[0034] The present invention realizes the scientific collection of shoulder pain characteristic information, pain pointing site images, complication characteristic information, surgery satisfaction information and shoulder joint real-time activity image information of patients undergoing shoulder arthroscopy surgery through a mobile terminal data input dialog box, a mobile terminal shooting lens and a head-mounted shooting lens, thereby achieving the effect of reducing the workload of anesthesia data management for shoulder arthroscopy surgery.

[0035] Preferably, the pain site identification processing of the shoulder arthroscopy patient is performed based on the image data of the pain pointing site of the shoulder arthroscopy patient and the standard image data of different parts of the human body, and the operation steps of generating the pain site identification data of the shoulder arthroscopy patient are as follows:

[0036] S51. Establishing a standard image data set for different parts of the human body , ;in Represents the human body Standard image data of different parts of the human body corresponding to each body part, Indicates the maximum value of the number of body parts; body parts include face, neck, chest, shoulder joints, eyes, hands, ears, nose and lips; the standard image data of different parts of the human body indicates the standard image information corresponding to different parts of the human body;

[0037] S52, collecting the image data of the pain-directed part of the shoulder arthroscopy surgery patient Image data of pain-directed areas in patients undergoing shoulder arthroscopy A standard image data set of different parts of the human body Standard image data of different parts of the human body Perform image feature matching to search for image data of the pain-directed area of ​​the patient undergoing shoulder arthroscopy Matching standard image data of different parts of the human body The corresponding body part text information is used to generate a data set of pain part identification for patients undergoing shoulder arthroscopy surgery. , execute to generate the shoulder arthroscopy surgery patient pain site identification data set The specific steps are as follows:

[0038] S521, initialization, updating the maximum number of iterations T, updating and generating the standard image data set of the white shark population individuals in different parts of the human body for searching the patient's pain site The position in the search space, the calculation formula for searching the individual positions of the white shark population in the patient's pain area is as follows: ,in Indicates that the patient's pain area searches for white shark individuals exist The position in the dimensional space, that is, the patient's pain location searches for the white shark individual A standard image data set of different parts of the human body The position in the search space, and Respectively represent the standard image data sets of different parts of the human body The upper and lower limits in Indicates value A random number between

[0039] S522, speed update stage, the patient's painful part searches for the white shark to perceive the position of the prey according to its movement, and updates its own speed, that is, the standard image data set of different parts of the human body Searching for image data of pain-directed areas of patients undergoing shoulder arthroscopy in the search space Matching standard image data of different parts of the human body , the calculation formula for updating its own speed is as follows: ,in Indicates that the patient's pain area searches for white shark individuals In the After iterations, the standard image data sets of different parts of the human body are The speed in the search space, Indicates that the patient's pain area searches for white shark individuals In the After iterations, the standard image data sets of different parts of the human body are The speed in the search space, Indicates that the patient's pain area searches for white shark individuals In the After iterations, the patient's pain location is searched for white shark individuals in the standard image data set of different parts of the human body The position in the search space, Indicated in After iterations, the patient's pain location is searched for white shark individuals in the standard image data set of different parts of the human body The optimal position in the search space, Indicates that the patient's pain area searches for white shark individuals In the After iterations, the standard image data sets of different parts of the human body are Search space and speed The corresponding position; represents the algorithm shrinkage coefficient, and Respectively and The control coefficient of and Both represent values A random number between

[0040] S523, position update stage, the patient's pain location searches for the white shark in the standard image data set of different parts of the human body The search space is directed towards the pain site image data of patients undergoing shoulder arthroscopy surgery The most matching standard image data of different parts of the human body The prey moves to update its own position to search for image data of the pain-pointing part of the patient undergoing shoulder arthroscopy surgery The most matching or second matching standard image data of different parts of the human body Prey, the patient's pain area search white shark position update calculation formula is as follows: ,in Represents the patient's pain site search during the position update phase of searching for prey. White shark individual In the After iterations, the standard image data sets of different parts of the human body are The position in the search space, Represents a bitwise operator, represents a logical vector, and are binary vectors, Indicates the attraction coefficient of the patient's painful area to search for the white shark approaching its prey, Indicates the patient's pain location search for White Shark sports products wave frequency;

[0041] Patient pain location search White Shark standard image data set in different parts of the human body In the search space, the white shark position is moved toward the optimal patient pain site to search for the image data of the pain-directed site of the shoulder arthroscopic surgery patient. The most matching standard image data of different parts of the human body The location of the prey, the patient's pain area search white shark location update calculation formula is as follows: ,in Represents the position update phase to search for the optimal patient pain site search white shark position patient pain site search white shark individual In the After iterations, the standard image data sets of different parts of the human body are The position in the search space, , , Indicates value A random number in the interval, Indicates the distance between the patient's painful area and the prey, that is, the standard image data set of different parts of the human body Searching for image data of pain-directed areas of patients undergoing shoulder arthroscopy in the search space Matching standard image data of different parts of the human body , Indicates a sign-returning function. Indicates the patient's pain site search for olfactory and visual parameters of white sharks in close proximity to optimal prey;

[0042] S524, fish school behavior stage, the patient's painful part searches for white sharks through feeding behavior to retain the position update stage of the standard image data set of different parts of the human body The optimal patient pain site search white shark position in the search space is used, and other patient pain site search white shark individuals are updated according to the optimal patient pain site search white shark position in the standard image data set of different parts of the human body. The position in the search space, the calculation formula for the update of the individual position of the white shark in the patient's pain area is as follows: ,in Indicates the stage of fish school behavior to update other patients' pain sites to search for white shark individuals In the After iterations, the standard image data sets of different parts of the human body are The position in the search space, that is, the standard image data set of different parts of the human body Searching for image data of pain-directed areas of patients undergoing shoulder arthroscopy in the search space Matching standard image data of different parts of the human body ;

[0043] S525: When the maximum number of iterations is met, output the image data of the pain-directed part of the shoulder arthroscopy patient The most matching standard image data of different parts of the human body ;

[0044] S526, according to the image data of the pain-directed part of the shoulder arthroscopy patient output in step S525 The most matching standard image data of different parts of the human body The corresponding body part text information is used to generate a data set of pain part identification for patients undergoing shoulder arthroscopy surgery. ,in Indicates the use of The first analgesic regimen The pain site identification data of shoulder arthroscopic surgery patients corresponding to the shoulder arthroscopic surgery patients.

[0045] The present invention performs intelligent and precise identification of the pain site of patients undergoing shoulder arthroscopy by combining standard image information of different parts of the human body stored in big data with an intelligent White Shark optimization algorithm and image parameters of the pain site of patients undergoing shoulder arthroscopy, thereby achieving the effect of scientifically and accurately identifying the pain site information of patients undergoing shoulder arthroscopy.

[0046] Preferably, the shoulder joint exercise function recovery state analysis processing of the shoulder joint arthroscopy patients is performed based on the real-time activity image data of the shoulder joint of the shoulder arthroscopy patients and the image data of the shoulder joint exercise function state of the shoulder joint of the shoulder arthroscopy patients, and the operation steps of generating the shoulder joint exercise function recovery state analysis data of the shoulder joint of the shoulder arthroscopy patients are as follows:

[0047] S61. Establishing a collection of image data on the functional status of shoulder joint exercise in patients undergoing shoulder arthroscopy , ;in Indicates Image data of shoulder joint exercise function status in patients undergoing shoulder arthroscopy. Indicates the maximum number of shoulder joint exercise function state images of patients undergoing shoulder arthroscopy; the shoulder joint exercise function state image data of patients undergoing shoulder arthroscopy indicates shoulder joint activity image information of patients undergoing shoulder arthroscopy when their shoulder joints are restored to a normal exercise function state;

[0048] S62, using the BERT language model algorithm to collect the real-time activity image data of the shoulder joint of the patient undergoing shoulder arthroscopy Real-time motion image data of the shoulder joint of patients undergoing shoulder arthroscopy Image data collection of shoulder joint exercise function status in patients undergoing shoulder arthroscopy Image data of shoulder joint exercise function status in patients undergoing shoulder arthroscopy Perform image feature matching and generate a data set for analyzing the recovery status of shoulder joint exercise function in patients undergoing shoulder arthroscopy based on the image feature matching results ,in Indicates the use of The first analgesic regimen Analysis data on the recovery status of shoulder joint exercise function of patients undergoing shoulder arthroscopy corresponding to patients undergoing shoulder arthroscopy;

[0049] when and Image feature matching is successful, indicating that the The first analgesic regimen If the shoulder joint of a patient who underwent shoulder arthroscopy surgery has recovered to a normal exercise function state, then the analysis data of the shoulder joint exercise function recovery state of the patient who underwent shoulder arthroscopy surgery is output. For recovery;

[0050] when and The image features were not matched successfully, indicating that the The first analgesic regimen If the shoulder joint of a patient who underwent arthroscopy surgery has not recovered to the normal exercise function state, then the analysis data of the recovery state of the shoulder joint exercise function of the patient who underwent arthroscopy surgery is output. Not restored.

[0051] The present invention performs efficient and timely analysis of the shoulder joint exercise function recovery status of patients undergoing shoulder arthroscopy surgery by standardly setting the shoulder joint exercise function status image parameters of patients undergoing shoulder arthroscopy surgery and combining the BERT language model algorithm with the shoulder joint exercise function status image parameters of patients undergoing shoulder arthroscopy surgery, thereby achieving the effect of dynamically monitoring the exercise function recovery time of patients undergoing shoulder arthroscopy surgery.

[0052] Preferably, the steps of constructing the pain relief experimental index data for patients undergoing shoulder arthroscopy surgery and performing the pain relief experimental index feedback operation for patients undergoing shoulder arthroscopy surgery are as follows:

[0053] S71, the real-time time point data of the shoulder arthroscopy analgesia experiment , the shoulder arthroscopy surgery analgesia experimental data collection time judgment data , the pain feature text data set of patients undergoing shoulder arthroscopy , the shoulder arthroscopy surgery patient pain site identification data set , the characteristic text data set of complications of patients undergoing shoulder arthroscopy , Shoulder arthroscopy surgery patient satisfaction text data set , the shoulder joint exercise function recovery status analysis data set of the shoulder arthroscopy surgery patients Combine data to construct experimental index data of pain relief for patients undergoing shoulder arthroscopy ,in ;

[0054] S72, the analgesia experimental index data of the shoulder arthroscopy patients The feedback task of the analgesia experiment indicators for shoulder arthroscopy patients is executed online through the Internet of Things communication network and pushed to the shoulder arthroscopy patient analgesia experiment supervision platform.

[0055] The present invention scientifically constructs analgesia experimental index parameters for patients undergoing shoulder arthroscopy based on the real-time time information of the shoulder arthroscopy experiment and the patient's shoulder pain characteristic information, pain pointing site image, complication characteristic information, operation satisfaction information and real-time activity image information of the shoulder joint, and combines the autonomous and efficient shoulder arthroscopy experimental index feedback operation of the shoulder arthroscopy patient analgesia experimental supervision platform to achieve the effect of timely and safe collection of analgesia experimental index information for patients undergoing shoulder arthroscopy and improving the quality of the research results of analgesia experiments for patients undergoing shoulder arthroscopy.

[0056] A data management system based on shoulder arthroscopic surgery anesthesia, used to implement the data management method based on shoulder arthroscopic surgery anesthesia, the system includes an analgesic experiment data sampling time judgment module, an analgesic experiment data acquisition module, and an analgesic experiment data processing feedback module;

[0057] The analgesia experiment data sampling time judgment module includes a shoulder arthroscopy surgery analgesia experiment real-time time point acquisition unit, a shoulder arthroscopy surgery analgesia experiment sampling time point storage unit, and a shoulder arthroscopy surgery analgesia experiment data collection time judgment unit;

[0058] The real-time time point acquisition unit for shoulder arthroscopy analgesia experiment acquires real-time time point data of shoulder arthroscopy analgesia experiment through a time timing module; the shoulder arthroscopy analgesia experiment sampling time point storage unit is used to store the shoulder arthroscopy analgesia experiment sampling time point data; the shoulder arthroscopy analgesia experiment data acquisition time judgment unit performs time point judgment processing for shoulder arthroscopy analgesia experiment data acquisition based on the real-time time point data of shoulder arthroscopy analgesia experiment and the shoulder arthroscopy analgesia experiment sampling time point data, and generates shoulder arthroscopy analgesia experiment data acquisition time judgment data;

[0059] The analgesia experiment data acquisition module includes a shoulder arthroscopy analgesia experiment index acquisition information storage unit, a shoulder arthroscopy analgesia experiment index acquisition information prompt unit, a shoulder arthroscopy patient pain feature information acquisition unit, a shoulder arthroscopy patient pain point location image acquisition unit, a shoulder arthroscopy patient complication feature information acquisition unit, a shoulder arthroscopy patient satisfaction text information acquisition unit, and a shoulder arthroscopy patient shoulder joint real-time activity image acquisition unit;

[0060] The shoulder arthroscopy surgery analgesia experiment index collection information storage unit is used to store the shoulder arthroscopy surgery analgesia experiment index collection text data; the shoulder arthroscopy surgery analgesia experiment index collection information prompt unit performs the shoulder arthroscopy surgery analgesia experiment index collection information prompt operation based on the shoulder arthroscopy surgery analgesia experiment index collection text data combined with the mobile terminal; the shoulder arthroscopy surgery patient pain feature information collection unit collects the shoulder arthroscopy surgery patient pain feature text data through the mobile terminal data input dialog box; the shoulder arthroscopy surgery patient pain pointing site image collection unit collects the shoulder arthroscopy surgery patient pain pointing site image data through the mobile terminal shooting lens; the shoulder arthroscopy surgery patient complication feature information collection unit collects the shoulder arthroscopy surgery patient complication feature text data through the mobile terminal data input dialog box; the shoulder arthroscopy surgery patient satisfaction text information collection unit collects the shoulder arthroscopy surgery patient satisfaction text data through the mobile terminal data input dialog box; the shoulder arthroscopy surgery patient shoulder joint real-time activity image collection unit collects the shoulder arthroscopy surgery patient shoulder joint real-time activity image data through the head-mounted shooting lens;

[0061] The analgesia experiment data processing feedback module includes a standard image storage unit for different parts of the human body, a pain site identification unit for patients undergoing shoulder arthroscopy, an image storage unit for shoulder joint exercise status of patients undergoing shoulder arthroscopy, an analysis unit for shoulder joint exercise function recovery status of patients undergoing shoulder arthroscopy, an analgesia experiment index information construction unit for patients undergoing shoulder arthroscopy, and an analgesia experiment index information feedback unit for patients undergoing shoulder arthroscopy;

[0062] The standard image storage unit for different parts of the human body is used to store standard image data of different parts of the human body; the pain site identification unit for patients undergoing shoulder arthroscopy performs pain site identification processing on the patients undergoing shoulder arthroscopy according to the image data of the pain pointing site of the patients undergoing shoulder arthroscopy and the standard image data of different parts of the human body, and generates pain site identification data for the patients undergoing shoulder arthroscopy; the shoulder joint exercise state image storage unit for patients undergoing shoulder arthroscopy is used to store image data of the shoulder joint exercise function state of the patients undergoing shoulder arthroscopy; the shoulder joint exercise function recovery state analysis unit for patients undergoing shoulder arthroscopy performs pain site identification processing on the patients undergoing shoulder arthroscopy according to the image data of the pain pointing site of the patients undergoing shoulder arthroscopy and the standard image data of different parts of the human body, and generates pain site identification data for the patients undergoing shoulder arthroscopy; The real-time activity image data of the patient's shoulder joint and the image data of the shoulder joint exercise function status of the shoulder joint of the shoulder arthroscopic surgery patient are analyzed and processed to generate the shoulder joint exercise function recovery status analysis data of the shoulder joint exercise function of the shoulder arthroscopic surgery patient; the shoulder arthroscopic surgery patient analgesia experiment indicator information construction unit is used to construct the analgesia experiment indicator data of the shoulder arthroscopic surgery patient; the shoulder arthroscopic surgery patient analgesia experiment indicator information feedback unit performs the shoulder arthroscopic surgery patient analgesia experiment indicator feedback operation according to the shoulder arthroscopic surgery patient analgesia experiment indicator data combined with the shoulder arthroscopic surgery patient analgesia experiment supervision platform.

[0063] (III) Beneficial effects

[0064] The present invention provides a data management system and method based on shoulder arthroscopic surgery anesthesia. It has the following beneficial effects:

[0065] 1. Dynamically and accurately collect real-time time point information of shoulder arthroscopic surgery analgesia experiments through the time timing module, and provide real data support for accurately monitoring the data collection time of analgesia experiments for patients undergoing shoulder arthroscopic surgery; scientifically preset the sampling time point parameters of shoulder arthroscopic surgery analgesia experiments and combine numerical analysis with the sampling time point parameters of shoulder arthroscopic surgery analgesia experiments to accurately monitor the data collection time points of shoulder arthroscopic surgery analgesia experiments, so as to achieve accurate and convenient monitoring of shoulder arthroscopic surgery analgesia experiment data collection and improve the intelligence of shoulder arthroscopic surgery anesthesia data management.

[0066] 2. By storing the text information of shoulder arthroscopic surgery analgesia experiment indicators in standard way and combining it with mobile terminals, intuitive visualization prompts are provided for the information to be collected in shoulder arthroscopic surgery analgesia experiments, thereby improving the accuracy and efficiency of shoulder arthroscopic surgery analgesia experiment data collection and the quality of shoulder arthroscopic surgery anesthesia data management; by using the mobile terminal data input dialog box, mobile terminal camera, and head-mounted camera, scientific collection of shoulder pain characteristic information, pain location images, complication characteristic information, surgery satisfaction information, and real-time shoulder joint activity image information of patients undergoing shoulder arthroscopic surgery is achieved, thereby reducing the workload of shoulder arthroscopic surgery anesthesia data management.

[0067] 3. Intelligent and accurate recognition of the pain site of patients undergoing shoulder arthroscopy is performed by combining standard image information of different parts of the human body based on big data storage with intelligent recognition algorithms and image parameters of the pain-directed site of patients undergoing shoulder arthroscopy, so as to achieve scientific and accurate recognition and processing of pain site information of patients undergoing shoulder arthroscopy, and improve the reliability of the results of analgesia experiments on patients undergoing shoulder arthroscopy; standard setting of image parameters of the functional state of shoulder joint exercise in patients undergoing shoulder arthroscopy combined with intelligent search algorithms and image parameters of the functional state of shoulder joint exercise in patients undergoing shoulder arthroscopy is performed to efficiently and timely analyze the functional recovery state of shoulder joint exercise in patients undergoing shoulder arthroscopy, so as to achieve dynamic monitoring of the recovery time of exercise function in patients undergoing shoulder arthroscopy, and improve the reliability of the results of analgesia experiments on patients undergoing shoulder arthroscopy. Improve the scientific nature of anesthesia data management for shoulder arthroscopic surgery; based on the real-time time information of shoulder arthroscopic surgery experiments and the patient's shoulder pain characteristic information, pain pointing site images, complication characteristic information, surgery satisfaction information and shoulder joint real-time activity image information, and combined with data processing science to construct shoulder arthroscopic surgery patient analgesia experiment index parameters, to achieve timely and safe collection of shoulder arthroscopic surgery patient analgesia experiment index information, and at the same time combined with the shoulder arthroscopic surgery patient analgesia experiment supervision platform to autonomously and efficiently feedback shoulder arthroscopic surgery patient analgesia experiment index operations, to improve the applicability and convenience of shoulder arthroscopic surgery anesthesia data management, and improve the quality of shoulder arthroscopic surgery patient analgesia experiment research results. BRIEF DESCRIPTION OF THE DRAWINGS

[0068] Figure 1 A schematic diagram of a module of a data management system based on shoulder arthroscopic surgery anesthesia provided by the present invention;

[0069] Figure 2 A flow chart of a data management method based on shoulder arthroscopic surgery anesthesia provided by the present invention. DETAILED DESCRIPTION

[0070] 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.

[0071] The embodiment of the data management system and method based on shoulder arthroscopic surgery anesthesia is as follows:

[0072] Embodiment 1:

[0073] See also Figure 1 - Figure 2 , a data management method based on shoulder arthroscopic surgery anesthesia, the method comprising the following steps:

[0074] S1. Collect real-time data of shoulder arthroscopic surgery analgesia experiment;

[0075] S2. Perform time point judgment processing for shoulder arthroscopy analgesia experiment data collection based on the real-time time point data of shoulder arthroscopy analgesia experiment and the sampling time point data of shoulder arthroscopy analgesia experiment, and generate shoulder arthroscopy analgesia experiment data collection time judgment data; when the sampling time is not reached, end the shoulder arthroscopy analgesia experiment data collection operation;

[0076] S3. When the sampling time has arrived, the shoulder arthroscopy surgery analgesia experiment indicator collection text data is used to perform the shoulder arthroscopy surgery analgesia experiment indicator collection information prompt operation;

[0077] S4, collecting text data on pain characteristics of patients undergoing shoulder arthroscopy, image data on pain-directed areas of patients undergoing shoulder arthroscopy, text data on complication characteristics of patients undergoing shoulder arthroscopy, text data on surgical satisfaction of patients undergoing shoulder arthroscopy, and real-time image data on shoulder joint activity of patients undergoing shoulder arthroscopy;

[0078] S5, performing pain location recognition processing on patients undergoing shoulder arthroscopy according to the image data of the pain location of the patients undergoing shoulder arthroscopy and the standard image data of different parts of the human body, and generating pain location recognition data for patients undergoing shoulder arthroscopy;

[0079] S6, analyzing and processing the shoulder joint exercise function recovery state of the shoulder arthroscopic surgery patients according to the real-time shoulder joint activity image data of the shoulder joint of the shoulder arthroscopic surgery patients and the shoulder joint exercise function state image data of the shoulder arthroscopic surgery patients, and generating shoulder joint exercise function recovery state analysis data of the shoulder arthroscopic surgery patients;

[0080] S7. Construct the analgesia experimental indicator data for patients undergoing shoulder arthroscopy and perform the analgesia experimental indicator feedback task for patients undergoing shoulder arthroscopy.

[0081] For further information, see Figure 1-Figure 2 The steps for collecting real-time time point data of shoulder arthroscopy analgesia experiment are as follows:

[0082] S11. Collect the current real-time time point text information of the analgesia experiment process of the shoulder arthroscopy surgery patient online through the time timing module, and generate the real-time time point data of the shoulder arthroscopy surgery analgesia experiment ,in The units are year, month, day and hour.

[0083] The time point judgment processing of the shoulder arthroscopy analgesia experiment data collection is performed based on the real-time time point data of the shoulder arthroscopy analgesia experiment and the sampling time point data of the shoulder arthroscopy analgesia experiment to generate the shoulder arthroscopy analgesia experiment data collection time judgment data; when the sampling time is not reached, the operation steps to end the shoulder arthroscopy analgesia experiment data collection operation are as follows:

[0084] S21. Establishing a data set of sampling time points for shoulder arthroscopy analgesia experiment , ;in Indicates Data of sampling time points of shoulder arthroscopy analgesia experiment, Represents the maximum number of sampling time points for shoulder arthroscopic surgery analgesia experiment; the sampling time point data for shoulder arthroscopic surgery analgesia experiment represents the time point parameters for the standard experimental data collection set during the experimental process of shoulder arthroscopic surgery patients using different analgesia schemes. The units are year, month, day and hour; the analgesic regimen includes continuous posterior interscalene brachial plexus block analgesia and intravenous patient-controlled analgesia;

[0085] S22, real-time time point data of shoulder arthroscopy analgesia experiment Data collection of sampling time points for shoulder arthroscopy analgesia experiment Sampling time point data of the analgesia experiment in mid-shoulder arthroscopy Perform time point data matching and generate shoulder arthroscopy surgery analgesia experiment data collection time judgment data based on the time point data matching results ;

[0086] when and The time point data matching is successful, indicating that the current time has reached the shoulder arthroscopy surgery analgesia experiment sampling time, and the shoulder arthroscopy surgery analgesia experiment data collection time judgment data is output. The sampling time has been reached;

[0087] when and If the time point data are not matched successfully, it means that the current time has not reached the shoulder arthroscopy analgesia experiment sampling time, then the shoulder arthroscopy analgesia experiment data collection time judgment data is output. Because the sampling time has not been reached, the data collection operation for the shoulder arthroscopic surgery analgesia experiment is terminated.

[0088] Through the real-time time point acquisition unit of the shoulder arthroscopy analgesia experiment, the time timing module is used to dynamically and accurately acquire the real-time time point information of the shoulder arthroscopy analgesia experiment, providing real data support for accurately monitoring the data acquisition time of the analgesia experiment of patients undergoing shoulder arthroscopy surgery; the shoulder arthroscopy analgesia experiment sampling time point storage unit and the shoulder arthroscopy analgesia experiment data acquisition time judgment unit cooperate with each other, scientifically preset the shoulder arthroscopy analgesia experiment sampling time point parameters combined with numerical analysis and the shoulder arthroscopy analgesia experiment sampling time point parameters to accurately monitor the shoulder arthroscopy analgesia experiment data acquisition time point, realize accurate and convenient monitoring of shoulder arthroscopy analgesia experiment data acquisition, and improve the intelligence of shoulder arthroscopy anesthesia data management.

[0089] For further information, see Figure 1 - Figure 2 When the sampling time has not been reached, the operation steps for performing the information prompt operation of the shoulder arthroscopy surgery analgesia experiment indicator to be collected based on the shoulder arthroscopy surgery analgesia experiment indicator text data are as follows:

[0090] S31, when the shoulder arthroscopy analgesia experiment data collection time judgment data When the sampling time has arrived, establish the shoulder arthroscopy surgery analgesia experimental index to collect text data , the shoulder arthroscopy analgesia experiment index collection text data represents the analgesia experiment index text information that needs to be collected during the shoulder arthroscopy analgesia experiment. The analgesia experiment index text information includes the patient's shoulder rest VAS score text data, shoulder activity VAS score text data, pain site text information, complication text information, shoulder arthroscopy satisfaction and shoulder joint exercise function recovery status text information; the VAS scoring standard is as follows: ‌0 points‌, indicating that the patient has no pain in the shoulder joint; ‌1 point to 3 points‌, indicating that the patient has mild shoulder pain; ‌4 points to 6 points‌, the patient has moderate shoulder pain; ‌7 points to 9 points‌, indicating that the patient has severe shoulder pain; ‌10 points‌, indicating that the patient has severe shoulder pain; the pain sites include the patient's face, neck, chest and shoulder joint; complications include nausea, vomiting, puncture site infection and puncture site bleeding; shoulder arthroscopy satisfaction includes excellent, good, medium and poor; shoulder joint exercise function recovery status text information represents the shoulder joint exercise function recovery status information of patients after shoulder arthroscopy;

[0091] S32. Collect text data of shoulder arthroscopy surgery analgesia experimental indicators through mobile terminals The information to be collected of the analgesia experiment index for shoulder arthroscopy surgery is output, and the shoulder arthroscopy surgery patient is prompted to fill in the information according to the analgesia experiment index object. The mobile terminal includes any one of a smart phone, a tablet computer and a smart watch.

[0092] The steps for collecting text data on pain characteristics of patients undergoing shoulder arthroscopy, image data on pain-directed areas of patients undergoing shoulder arthroscopy, text data on complication characteristics of patients undergoing shoulder arthroscopy, text data on surgical satisfaction of patients undergoing shoulder arthroscopy, and real-time image data on shoulder joint activity of patients undergoing shoulder arthroscopy are as follows:

[0093] S41. Collect the resting VAS score text data and the active VAS score text data of the shoulder joint of the patients undergoing shoulder arthroscopy surgery with different analgesia schemes online through the mobile terminal data input dialog box, and generate a text data set of pain characteristics of the patients undergoing shoulder arthroscopy surgery , , ;in Indicates the use of The first analgesic regimen The text data of pain characteristics of shoulder arthroscopy patients corresponding to shoulder arthroscopy patients, represents the maximum number of patients undergoing shoulder arthroscopy; It indicates that patients undergoing shoulder arthroscopy should use continuous posterior interscalene brachial plexus block for analgesia. Indicates that patients undergoing shoulder arthroscopy should use an intravenous patient-controlled analgesia regimen;

[0094] The mobile terminal camera is used to collect online image information of the finger pointing pain site of patients undergoing shoulder arthroscopy with different analgesia schemes, and a data set of images of the pain site of patients undergoing shoulder arthroscopy is generated. ,in Indicates the use of The first analgesic regimen Image data of pain-directed areas of shoulder arthroscopy patients corresponding to shoulder arthroscopy patients;

[0095] The text information of complications of patients undergoing shoulder arthroscopy with different analgesia regimens is collected online through the mobile terminal data input dialog box, and a text data set of complications of patients undergoing shoulder arthroscopy is generated. ,in Indicates the use of The first analgesic regimen Characteristic text data of shoulder arthroscopic surgery patients' complications corresponding to each shoulder arthroscopic surgery patient;

[0096] The text information of shoulder arthroscopy surgery satisfaction evaluation of patients undergoing shoulder arthroscopy with different analgesia regimens is collected online through the mobile terminal data input dialog box, and a text data set of shoulder arthroscopy surgery satisfaction is generated. ,in Indicates the use of The first analgesic regimen Text data of shoulder arthroscopy surgery satisfaction of patients corresponding to shoulder arthroscopy surgery patients;

[0097] The real-time motion image information of the shoulder joint of patients undergoing shoulder arthroscopy surgery with different analgesia schemes is collected online through a head-mounted camera, and a data set of real-time motion images of the shoulder joint of patients undergoing shoulder arthroscopy surgery is generated. ,in Indicates the use of The first analgesic regimen Real-time motion image data of the shoulder joint of a patient undergoing shoulder arthroscopy corresponding to a patient undergoing shoulder arthroscopy.

[0098] Through the cooperation of the shoulder arthroscopy analgesia experiment index collection information storage unit and the shoulder arthroscopy analgesia experiment index collection information prompt unit, the standard storage of shoulder arthroscopy analgesia experiment index collection text information is combined with the mobile terminal to provide intuitive and visual prompts for the shoulder arthroscopy analgesia experiment information to be collected, thereby improving the accuracy and efficiency of shoulder arthroscopy analgesia experiment data collection and the quality of shoulder arthroscopy anesthesia data management; the shoulder arthroscopy patient pain characteristic information collection unit, the shoulder arthroscopy patient pain point location image collection unit, the shoulder arthroscopy patient complication characteristic information collection unit, the shoulder arthroscopy patient satisfaction text information collection unit, and the shoulder arthroscopy patient shoulder joint real-time activity image collection unit cooperate with each other, and through the mobile terminal data input dialog box, the mobile terminal shooting lens, and the head-mounted shooting lens, the scientific collection of shoulder joint pain characteristic information, pain point location image, complication characteristic information, surgery satisfaction information and shoulder joint real-time activity image information of shoulder arthroscopy patients can be achieved, thereby reducing the workload of shoulder arthroscopy anesthesia data management.

[0099] For further information, see Figure 1 - Figure 2 According to the image data of the pain pointing part of the shoulder arthroscopy patient and the standard image data of different parts of the human body, the pain part of the shoulder arthroscopy patient is identified and processed, and the operation steps of generating the pain part identification data of the shoulder arthroscopy patient are as follows:

[0100] S51. Establishing a standard image data set for different parts of the human body , ;in Represents the human body Standard image data of different parts of the human body corresponding to each body part, Indicates the maximum number of body parts; body parts include face, neck, chest, shoulder joints, eyes, hands, ears, nose and lips; standard image data of different parts of the human body indicates standard image information corresponding to different parts of the human body;

[0101] S52. Image data collection of pain-directed areas of patients undergoing shoulder arthroscopy Image data of pain location in patients undergoing mid-shoulder arthroscopy A collection of standard image data of different parts of the human body Standard image data of different parts of the human body Perform image feature matching to search for image data related to the pain location of patients undergoing shoulder arthroscopy Matching standard image data of different parts of the human body The corresponding body part text information is used to generate a data set of pain part identification for patients undergoing shoulder arthroscopy surgery. , execute to generate a data set of pain site identification in patients undergoing shoulder arthroscopy The specific steps are as follows:

[0102] S521, initialization, update the maximum number of iterations T, update and generate the patient's pain site search white shark population individuals in different parts of the human body standard image data set The position in the search space, the calculation formula for searching the individual positions of the white shark population in the patient's pain area is as follows: ,in Indicates that the patient's pain area searches for white shark individuals exist The position in the dimensional space, that is, the patient's pain location searches for the white shark individual A collection of standard image data on different parts of the human body The position in the search space, and Respectively represent the standard image data sets of different parts of the human body The upper and lower limits in Indicates value A random number between

[0103] S522, speed update stage, the patient searches for the painful part of the white shark to perceive the position of the prey according to its movement and update its own speed, that is, the standard image data set of different parts of the human body Search the search space to find the image data of the pain-pointing part of the patients undergoing shoulder arthroscopy Matching standard image data of different parts of the human body , the calculation formula for updating its own speed is as follows: ,in Indicates that the patient's pain area searches for white shark individuals In the After iterations, the standard image data set of different parts of the human body The speed in the search space, Indicates that the patient's pain area searches for white shark individuals In the After iterations, the standard image data set of different parts of the human body The speed in the search space, Indicates that the patient's pain area searches for white shark individuals In the After iterations, the patient's pain location is searched in the standard image data set of different parts of the human body by the white shark individual The position in the search space, Indicated in After iterations, the patient's pain location is searched in the standard image data set of different parts of the human body by the white shark individual The optimal position in the search space, Indicates that the patient's pain area searches for white shark individuals In the After iterations, the standard image data set of different parts of the human body Search space and speed The corresponding position; represents the algorithm shrinkage coefficient, and Respectively and The control coefficient of and Both represent values A random number between

[0104] S523, position update stage, the patient's pain location is searched for white shark in the standard image data set of different parts of the human body Search space in image data directed toward pain site in patients undergoing shoulder arthroscopy The most matching standard image data of different parts of the human body The prey moves to update its own position to search for image data related to the pain-pointing area of ​​patients undergoing shoulder arthroscopy surgery The best or second best matching standard image data of different parts of the human body Prey, the patient's pain area search white shark position update calculation formula is as follows: ,in Represents the patient's pain site search during the position update phase of searching for prey. White shark individual In the After iterations, the standard image data set of different parts of the human body The position in the search space, Represents a bitwise operator, represents a logical vector, and are binary vectors, Indicates the attraction coefficient of the patient's painful area to search for the white shark approaching its prey, Indicates the patient's pain location search for White Shark sports products wave frequency;

[0105] Patient pain location search White Shark in different parts of the human body standard image data set In the search space, the white shark position is moved toward the optimal patient pain site to search for image data of the pain-directed site of the shoulder arthroscopic surgery patient. The most matching standard image data of different parts of the human body The location of the prey, the patient's pain area search white shark location update calculation formula is as follows: ,in Represents the position update phase to search for the optimal patient pain site search white shark position patient pain site search white shark individual In the After iterations, the standard image data set of different parts of the human body The position in the search space, , , Indicates value A random number in the interval, Represents the distance between the patient's painful area and the prey, i.e., a standard image data set of different parts of the human body Search the search space to find the image data of the pain-pointing part of the patients undergoing shoulder arthroscopy Matching standard image data of different parts of the human body , Indicates a sign-returning function. Indicates the patient's pain site search for olfactory and visual parameters of white sharks in close proximity to optimal prey;

[0106] S524, fish school behavior stage, the patient searches for the painful part of the body. The white shark population retains the position through feeding behavior. In the update stage, the standard image data set of different parts of the human body is collected. The optimal patient pain site search white shark position in the search space is used to update the standard image data set of other patient pain site search white shark individuals in different parts of the human body according to the optimal patient pain site search white shark position. The position in the search space, the calculation formula for the update of the individual position of the white shark in the patient's pain area is as follows: ,in Indicates the stage of fish school behavior to update other patients' pain sites to search for white shark individuals In the After iterations, the standard image data set of different parts of the human body The position in the search space, that is, the standard image data set of different parts of the human body Search the search space to find the image data of the pain-pointing part of the patients undergoing shoulder arthroscopy Matching standard image data of different parts of the human body ;

[0107] S525: When the maximum number of iterations is met, output the image data of the pain-directed part of the shoulder arthroscopy surgery patient The most matching standard image data of different parts of the human body ;

[0108] S526, according to the image data of the pain-directed part of the shoulder arthroscopy patient output in step S525 The most matching standard image data of different parts of the human body The corresponding body part text information is used to generate a data set of pain part identification for patients undergoing shoulder arthroscopy surgery. ,in Indicates the use of The first analgesic regimen The pain site identification data of shoulder arthroscopic surgery patients corresponding to the shoulder arthroscopic surgery patients.

[0109] The steps for analyzing and processing the shoulder joint exercise function recovery state of the patients undergoing shoulder arthroscopy surgery according to the real-time shoulder joint activity image data and the shoulder joint exercise function state image data of the patients undergoing shoulder arthroscopy surgery to generate the shoulder joint exercise function recovery state analysis data of the patients undergoing shoulder arthroscopy surgery are as follows:

[0110] S61. Establishing a collection of image data on the functional status of shoulder joint exercise in patients undergoing shoulder arthroscopy , ;in Indicates Image data of shoulder joint exercise function status in patients undergoing shoulder arthroscopy. Indicates the maximum number of images of shoulder joint exercise function status of patients undergoing shoulder arthroscopy; the image data of shoulder joint exercise function status of patients undergoing shoulder arthroscopy indicates the image information of shoulder joint activity when the shoulder joint of patients undergoing shoulder arthroscopy is restored to the normal exercise function state;

[0111] S62, using the BERT language model algorithm to collect real-time activity image data of shoulder joints of patients undergoing shoulder arthroscopy Real-time motion image data of shoulder joint in patients undergoing mid-range arthroscopic shoulder surgery Image data collection of shoulder joint exercise function status in patients undergoing shoulder arthroscopy Image data of shoulder joint exercise function status in patients undergoing mid-range shoulder arthroscopy Perform image feature matching and generate a data set for analyzing the recovery status of shoulder joint exercise function in patients undergoing shoulder arthroscopy based on the image feature matching results ,in Indicates the use of The first analgesic regimen Analysis data on the recovery status of shoulder joint exercise function of patients undergoing shoulder arthroscopy corresponding to patients undergoing shoulder arthroscopy;

[0112] when and Image feature matching is successful, indicating that the The first analgesic regimen If the shoulder joint of a patient who underwent shoulder arthroscopy surgery has recovered to a normal exercise function state, then the analysis data of the shoulder joint exercise function recovery state of the patient who underwent shoulder arthroscopy surgery is output. For recovery;

[0113] when and The image features were not matched successfully, indicating that the The first analgesic regimen If the shoulder joint of a patient who underwent arthroscopy surgery has not recovered to the normal exercise function state, then the analysis data of the recovery state of the shoulder joint exercise function of the patient who underwent arthroscopy surgery is output. Not restored.

[0114] The steps for constructing the pain relief experimental index data for patients undergoing shoulder arthroscopy and performing the pain relief experimental index feedback task for patients undergoing shoulder arthroscopy are as follows:

[0115] S71, real-time time point data of shoulder arthroscopy analgesia experiment , Shoulder arthroscopy surgery analgesia experiment data collection time judgment data , pain feature text data set of patients undergoing shoulder arthroscopy , Data set for pain site identification in patients undergoing shoulder arthroscopy , Characteristic text data set of complications of patients undergoing shoulder arthroscopy , Shoulder arthroscopy surgery patient satisfaction text data set , Shoulder joint exercise function recovery status analysis data set for patients undergoing shoulder arthroscopy Combine data to construct experimental index data of pain relief for patients undergoing shoulder arthroscopy ,in ;

[0116] S72. Experimental data on pain relief in patients undergoing shoulder arthroscopy The feedback task of the analgesia experiment indicators for shoulder arthroscopy patients is executed online through the Internet of Things communication network and pushed to the shoulder arthroscopy patient analgesia experiment supervision platform.

[0117] Through the cooperation of the standard image storage unit of different parts of the human body and the pain site identification unit of shoulder arthroscopy patients, the standard image information of different parts of the human body stored in big data is combined with the intelligent recognition algorithm and the image parameters of the pain pointing site of the shoulder arthroscopy patients to perform intelligent and accurate identification of the pain site of the shoulder arthroscopy patients, so as to realize the scientific and accurate identification and processing of the pain site information of the shoulder arthroscopy patients and improve the reliability of the results of the analgesia experiment on the shoulder arthroscopy patients; the shoulder joint exercise state image storage unit of the shoulder arthroscopy patients and the shoulder joint exercise function recovery state analysis unit of the shoulder arthroscopy patients cooperate with each other, the standard setting of the shoulder joint exercise function state image parameters of the shoulder joint arthroscopy patients is combined with the intelligent search algorithm and the shoulder joint exercise function state image parameters of the shoulder joint arthroscopy patients to perform efficient and timely analysis of the shoulder joint exercise function recovery state of the shoulder arthroscopy patients, so as to realize the shoulder joint Dynamic monitoring of the recovery time of exercise function of patients undergoing shoulder arthroscopy can improve the scientific nature of anesthesia data management for shoulder arthroscopy; the shoulder arthroscopy patient analgesia experiment indicator information construction unit and the shoulder arthroscopy patient analgesia experiment indicator information feedback unit cooperate with each other, based on the real-time time information of the shoulder arthroscopy experiment and the patient's shoulder joint pain characteristic information, pain pointing site image, complication characteristic information, surgery satisfaction information and shoulder joint real-time activity image information, and combined with data processing to scientifically construct the shoulder arthroscopy patient analgesia experiment indicator parameters, to achieve timely and safe collection of shoulder arthroscopy patient analgesia experiment indicator information, and at the same time combined with the shoulder arthroscopy patient analgesia experiment supervision platform to autonomously and efficiently feedback the shoulder arthroscopy patient analgesia experiment indicator, to improve the applicability and convenience of shoulder arthroscopy anesthesia data management, and to improve the quality of the research results of shoulder arthroscopy patient analgesia experiments.

[0118] Embodiment 2:

[0119] See also Figure 1 - Figure 2 , a data management system based on shoulder arthroscopic surgery anesthesia, used to implement a data management method based on shoulder arthroscopic surgery anesthesia, the system includes an analgesic experiment data sampling time judgment module, an analgesic experiment data acquisition module, an analgesic experiment data processing feedback module;

[0120] The analgesia experiment data sampling time judgment module includes a shoulder arthroscopy surgery analgesia experiment real-time time point acquisition unit, a shoulder arthroscopy surgery analgesia experiment sampling time point storage unit, and a shoulder arthroscopy surgery analgesia experiment data collection time judgment unit;

[0121] A real-time time point acquisition unit for shoulder arthroscopy analgesia experiment, which collects real-time time point data of shoulder arthroscopy analgesia experiment through a time timing module; a shoulder arthroscopy analgesia experiment sampling time point storage unit, which is used to store the shoulder arthroscopy analgesia experiment sampling time point data; a shoulder arthroscopy analgesia experiment data acquisition time judgment unit, which performs time point judgment processing for shoulder arthroscopy analgesia experiment data acquisition based on the real-time time point data of shoulder arthroscopy analgesia experiment and the shoulder arthroscopy analgesia experiment sampling time point data, and generates shoulder arthroscopy analgesia experiment data acquisition time judgment data;

[0122] The analgesia experiment data acquisition module includes a shoulder arthroscopy analgesia experiment index acquisition information storage unit, a shoulder arthroscopy analgesia experiment index acquisition information prompt unit, a shoulder arthroscopy patient pain feature information acquisition unit, a shoulder arthroscopy patient pain point location image acquisition unit, a shoulder arthroscopy patient complication feature information acquisition unit, a shoulder arthroscopy patient satisfaction text information acquisition unit, and a shoulder arthroscopy patient shoulder joint real-time activity image acquisition unit;

[0123] A shoulder arthroscopy surgery analgesia experiment indicator collection information storage unit, used to store the shoulder arthroscopy surgery analgesia experiment indicator collection text data; a shoulder arthroscopy surgery analgesia experiment indicator collection information prompt unit, which performs the shoulder arthroscopy surgery analgesia experiment indicator collection information prompt operation based on the shoulder arthroscopy surgery analgesia experiment indicator collection text data combined with the mobile terminal; a shoulder arthroscopy surgery patient pain feature information collection unit, which collects the shoulder arthroscopy surgery patient pain feature text data through the mobile terminal data input dialog box; a shoulder arthroscopy surgery patient pain point location image collection unit, which collects the shoulder arthroscopy surgery patient pain point location image data through the mobile terminal shooting lens; a shoulder arthroscopy surgery patient complication feature information collection unit, which collects the shoulder arthroscopy surgery patient complication feature text data through the mobile terminal data input dialog box; a shoulder arthroscopy surgery patient satisfaction text information collection unit, which collects the shoulder arthroscopy surgery patient satisfaction text data through the mobile terminal data input dialog box; a shoulder arthroscopy surgery patient shoulder joint real-time activity image collection unit, which collects the shoulder arthroscopy surgery patient shoulder joint real-time activity image data through the head-mounted shooting lens;

[0124] The analgesia experiment data processing feedback module includes a standard image storage unit for different parts of the human body, a pain site identification unit for patients undergoing shoulder arthroscopy, an image storage unit for the shoulder joint exercise status of patients undergoing shoulder arthroscopy, an analysis unit for the functional recovery status of the shoulder joint exercise of patients undergoing shoulder arthroscopy, an analgesia experiment index information construction unit for patients undergoing shoulder arthroscopy, and an analgesia experiment index information feedback unit for patients undergoing shoulder arthroscopy;

[0125] A standard image storage unit for different parts of the human body is used to store standard image data of different parts of the human body; a pain site identification unit for patients undergoing shoulder arthroscopy surgery is used to identify and process the pain site of patients undergoing shoulder arthroscopy surgery based on the image data of the pain pointing site of the patients undergoing shoulder arthroscopy surgery and the standard image data of different parts of the human body, and generate pain site identification data for patients undergoing shoulder arthroscopy surgery; an image storage unit for the state of shoulder joint exercise of patients undergoing shoulder arthroscopy surgery is used to store the image data of the functional state of shoulder joint exercise of patients undergoing shoulder arthroscopy surgery; an analysis unit for the state of functional recovery of shoulder joint exercise of patients undergoing shoulder arthroscopy surgery is used to analyze and process the state of functional recovery of shoulder joint exercise of patients undergoing shoulder arthroscopy surgery based on the real-time activity image data of the shoulder joint of patients undergoing shoulder arthroscopy surgery and the image data of the functional state of shoulder joint exercise of patients undergoing shoulder arthroscopy surgery, and generate analysis data of the state of functional recovery of shoulder joint exercise of patients undergoing shoulder arthroscopy surgery; an analgesia experiment indicator information construction unit for patients undergoing shoulder arthroscopy surgery is used to construct analgesia experiment indicator data for patients undergoing shoulder arthroscopy surgery; an analgesia experiment indicator information feedback unit for patients undergoing shoulder arthroscopy surgery is used to perform analgesia experiment indicator feedback operation for patients undergoing shoulder arthroscopy surgery based on the analgesia experiment indicator data for patients undergoing shoulder arthroscopy surgery in combination with the analgesia experiment supervision platform for patients undergoing shoulder arthroscopy surgery.

[0126] Although embodiments of the present invention have been shown and described, it will be appreciated by those skilled in the art that various changes, modifications, substitutions and variations may be made to the embodiments without departing from the principles and spirit of the present invention, and that the scope of the present invention is defined by the appended claims and their equivalents.

Claims

1. A data management method based on shoulder arthroscopic surgery anesthesia, characterized in that: The method comprises the following steps: S1. Collect real-time data of shoulder arthroscopic surgery analgesia experiment; S2, performing a time point judgment process for collecting the shoulder arthroscopy analgesia experiment data according to the real-time time point data of the shoulder arthroscopy analgesia experiment and the sampling time point data of the shoulder arthroscopy analgesia experiment, and generating the shoulder arthroscopy analgesia experiment data collection time judgment data; when the sampling time has not been reached, ending the shoulder arthroscopy analgesia experiment data collection operation; S3. When the sampling time has arrived, the shoulder arthroscopy surgery analgesia experiment indicator collection text data is used to perform the shoulder arthroscopy surgery analgesia experiment indicator collection information prompt operation; S4, collecting text data on pain characteristics of patients undergoing shoulder arthroscopy, image data on pain-directed areas of patients undergoing shoulder arthroscopy, text data on complication characteristics of patients undergoing shoulder arthroscopy, text data on surgical satisfaction of patients undergoing shoulder arthroscopy, and real-time activity image data of shoulder joints of patients undergoing shoulder arthroscopy; The real-time motion image information of the shoulder joint of patients undergoing shoulder arthroscopy surgery with different analgesia schemes is collected online through a head-mounted camera, and a real-time motion image data set D of the shoulder joint of patients undergoing shoulder arthroscopy surgery is generated. k＝[1,2] =(d k,1 ,…,d k,u ,…,d k,ρ ), where d k,u represents the real-time motion image data of the shoulder joint of the u-th shoulder arthroscopic surgery patient corresponding to the k-th shoulder arthroscopic surgery patient adopting the k-th analgesia scheme; S5, performing pain location identification processing on the patient undergoing shoulder arthroscopy surgery according to the image data of the pain location of the patient undergoing shoulder arthroscopy surgery and the standard image data of different parts of the human body, and generating pain location identification data for the patient undergoing shoulder arthroscopy surgery; S6, performing analysis and processing on the shoulder joint exercise function recovery state of the shoulder joint of the shoulder arthroscopy surgery patient according to the real-time activity image data of the shoulder joint of the shoulder arthroscopy surgery patient and the image data of the shoulder joint exercise function state of the shoulder joint of the shoulder arthroscopy surgery patient, and generating analysis data on the shoulder joint exercise function recovery state of the shoulder joint of the shoulder arthroscopy surgery patient; The S6 comprises the following steps: S61. Establishing a shoulder joint exercise function status image data set H = (h1, ..., h m ,…,h υ ), m = 1, 2, 3, ..., υ; where h m represents the u-th image data of the functional state of the shoulder joint exercise of the patient undergoing shoulder arthroscopy, and υ represents the maximum number of images of the functional state of the shoulder joint exercise of the patient undergoing shoulder arthroscopy; S62, using the BERT language model algorithm to k＝[1,2] Described in k,u With the H in the h m Perform image feature matching and generate a data set D' for analyzing the recovery status of shoulder joint exercise function in patients undergoing shoulder arthroscopy based on the image feature matching results. k＝[1,2] =(d' k,1 ,…,d' k,u ,…,d' k,ρ ), where d' k,u represents the shoulder joint exercise function recovery status analysis data of the shoulder arthroscopic surgery patient corresponding to the u-th shoulder arthroscopic surgery patient who adopted the k-th analgesia scheme; When k,u With h m If the image feature matching is successful, the shoulder joint exercise function recovery status analysis data d' of the patients undergoing shoulder arthroscopy surgery is output. k,u For recovery; When k,u With h m If the image features are not matched successfully, the shoulder joint exercise function recovery status analysis data d' of the patients undergoing shoulder arthroscopy surgery is output. k,u for not recovered; S7. Construct the analgesia experimental indicator data for patients undergoing shoulder arthroscopy and perform the analgesia experimental indicator feedback task for patients undergoing shoulder arthroscopy.

2. A data management method based on shoulder arthroscopic surgery anesthesia according to claim 1, characterized in that: The S1 comprises the following steps: S11, collect the current real-time time point text information of the analgesia experiment process of the shoulder arthroscopy surgery patients online through the time timing module, and generate the real-time time point data of the shoulder arthroscopy surgery analgesia experiment shishi .

3. A data management method based on shoulder arthroscopic surgery anesthesia according to claim 2, characterized in that: The S2 comprises the following steps: S21. Establishing the sampling time point data set of shoulder arthroscopy analgesia experiment R = (r1,…,r p ,…,r θ ), p = 1, 2, 3, ..., θ; where r p represents the data of the sampling time point of the pth shoulder arthroscopic surgery analgesia experiment, and θ represents the maximum number of sampling time points of the shoulder arthroscopic surgery analgesia experiment; S22, the r shishi The same as the R p Perform time point data matching and generate the shoulder arthroscopy surgery analgesia experiment data collection time judgment data R according to the time point data matching results jieguo ; When shishi With r p If the time point data matching is successful, the shoulder arthroscopy surgery analgesia experiment data collection time judgment data R is output. jieguo The sampling time has been reached; When shishi With r p If the time point data are not matched successfully, the shoulder arthroscopy surgery analgesia experiment data collection time judgment data R is output jieguo Because the sampling time has not been reached, the data collection operation for the shoulder arthroscopic surgery analgesia experiment is terminated.

4. The data management method based on shoulder arthroscopic surgery anesthesia according to claim 3, characterized in that: The S3 comprises the following steps: S31, when the R jieguo When the sampling time has been reached, the shoulder arthroscopy surgery analgesia experimental index is established to collect text data O; S32. Outputting the information to be collected of the pain relief experiment index for shoulder arthroscopy surgery through the mobile terminal, and prompting the shoulder arthroscopy surgery patient to fill in the information according to the pain relief experiment index object.

5. The data management method based on shoulder arthroscopic surgery anesthesia according to claim 4, characterized in that: The S4 comprises the following steps: S41. Collect the resting VAS score text data and the active VAS score text data of the shoulder joint of the patients undergoing shoulder arthroscopy surgery with different analgesia schemes online through the mobile terminal data input dialog box, and generate the pain feature text data set A of the patients undergoing shoulder arthroscopy surgery. k＝ [ 1,2 ]=(a k,1 ,…,a k,u ,…,a k,ρ ), k=1,2, u=1,2,3,...,ρ; where a k,u represents the pain feature text data of the shoulder arthroscopy patients corresponding to the u-th shoulder arthroscopy patient who adopted the k-th analgesia scheme, ρ represents the maximum number of shoulder arthroscopy patients; k=1 represents the shoulder arthroscopy patient who adopted the continuous posterior interscalene brachial plexus block analgesia scheme, k=2 represents the shoulder arthroscopy patient who adopted the intravenous patient-controlled analgesia scheme; The mobile terminal camera is used to collect the image information of the finger pointing pain site of the patients undergoing shoulder arthroscopy with different analgesia schemes online, and the image data set B of the pain site of the patients undergoing shoulder arthroscopy is generated. k＝[1,2] =(b k,1 ,...,b k,u ,...,b k,ρ ), where b k,u represents the image data of the pain-directed part of the shoulder arthroscopy patient corresponding to the u-th shoulder arthroscopy patient who adopts the k-th analgesia scheme; The text information of complications of patients undergoing shoulder arthroscopy with different analgesia regimens is collected online through the mobile terminal data input dialog box, and a text data set C of complications of patients undergoing shoulder arthroscopy is generated. k＝[1,2] =(c k,1 ,…,c k,u ,…,c k,ρ ), where c k,u The feature text data of shoulder arthroscopic surgery patients' complications corresponding to the u-th shoulder arthroscopic surgery patient who adopted the k-th analgesia regimen; The text information of shoulder arthroscopy satisfaction evaluation of patients undergoing shoulder arthroscopy with different analgesia regimens is collected online through the mobile terminal data input dialog box, and a text data set N of shoulder arthroscopy satisfaction of patients undergoing shoulder arthroscopy is generated. k＝[1,2] =(n k,1 ,…,n k,u ,…,n k,ρ ), where n k,u Represents the text data of shoulder arthroscopic surgery patient satisfaction corresponding to the u-th shoulder arthroscopic surgery patient who adopted the k-th analgesia regimen.

6. The data management method based on shoulder arthroscopic surgery anesthesia according to claim 5, characterized in that: The S5 comprises the following steps: S51, establish a standard image data set E of different parts of the human body = (e1, ..., e v ,…,e τ ), v = 1, 2, 3, ..., τ; where e v represents the standard image data of different parts of the human body corresponding to the u-th body part, and τ represents the maximum number of body parts; S52, the B k＝[1,2] b k,u With the E in the e v Perform image feature matching and search for the image that matches the b k,u Match the e v The corresponding body part text information is then used to generate the pain part identification data set B′ for patients undergoing shoulder arthroscopy surgery. k＝[1,2] , execute to generate the B′ k＝[1,2] The specific steps are as follows: S521, initialization, updating the maximum number of iterations T, and updating the position of the individuals of the white shark population in the search space E in the patient's pain site search; S522, speed update stage, the patient's pain site search white shark according to the e v The prey moves to sense its position and update its speed; S523, position update stage, the patient's pain location search white shark in the search space in E by moving towards the b k,u The best match for the e v The prey moves to update its own position to search for the b k,u The best or second best match v Prey; the patient pain site search white shark moves toward the optimal patient pain site search white shark position in the search space in E to search for the white shark position that matches the b k,u The best match for the e v The location of the prey; S524, in the shoal behavior stage, the patient pain site search white shark population retains the optimal patient pain site search white shark position in the search space in E during the position update stage through feeding behavior, and updates the positions of other patient pain site search white shark individuals in the search space in E according to the optimal patient pain site search white shark position; S525, when the maximum number of iterations is met, output the same as b k,u The best match for the e v ; S526, according to the output in step S525 and the b k,u The best match for the e v The corresponding body part text information is then used to generate the shoulder arthroscopy surgery patient pain part identification data set B' k＝[1,2] =(b' k,1 ,…,b' k,u ,…,b' k,ρ ), where b' k,u Represents the pain site identification data of the shoulder arthroscopic surgery patient corresponding to the u-th shoulder arthroscopic surgery patient who adopts the k-th analgesia scheme.

7. The data management method based on shoulder arthroscopic surgery anesthesia according to claim 6, characterized in that: The S7 comprises the following steps: S71, the r shishi , R jieguo , said A k＝[1,2] , said B′ k＝[1,2] , said C k＝[1,2] 、N k＝[1,2] , the D′ k＝[1,2] Combine the data to construct the pain relief experimental index data G for patients undergoing shoulder arthroscopy; S72. Push the G online to the shoulder arthroscopy surgery patient analgesia experiment supervision platform through the Internet of Things communication network to perform the shoulder arthroscopy surgery patient analgesia experiment indicator feedback task.

8. A data management system based on shoulder arthroscopic surgery anesthesia, used to implement a data management method based on shoulder arthroscopic surgery anesthesia according to any one of claims 1 to 7, characterized in that: The system comprises an analgesic experiment data sampling time judgment module, an analgesic experiment data acquisition module and an analgesic experiment data processing feedback module.

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