A laparoscopic postoperative rehabilitation guidance system and method based on artificial intelligence

Abstract

The application relates to the technical field of postoperative rehabilitation management, and discloses a laparoscopy postoperative rehabilitation guidance system and method based on artificial intelligence, which comprises a laparoscopy postoperative rehabilitation taboo item making module, a laparoscopy postoperative rehabilitation taboo behavior monitoring module and a laparoscopy postoperative rehabilitation taboo behavior feedback module; postoperative rehabilitation taboo item information customization selection of a laparoscopy surgery patient is carried out according to laparoscopy postoperative patient rehabilitation taboo item correlation degree statistical information and laparoscopy postoperative patient rehabilitation taboo item information; intelligent judgment of a laparoscopy surgery patient's rehabilitation taboo behavior in a postoperative rehabilitation process is carried out according to laparoscopy postoperative patient required rehabilitation taboo item information and laparoscopy postoperative patient rehabilitation behavior recognition information in combination with an artificial intelligence recognition algorithm, and intelligent supervision of the laparoscopy postoperative patient's rehabilitation taboo behavior is realized.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of postoperative rehabilitation management, in particular to a laparoscopic postoperative rehabilitation guidance system and method based on artificial intelligence. BACKGROUND

[0002] Laparoscopic surgery is a newly developed minimally invasive method. The traditional method of laparoscopic surgery is to make three 1-centimeter small incisions on the waist of the patient, insert a tubular working channel called "trocar" into each incision, and then perform all subsequent operations through these three tubes. Specialized extended surgical instruments are used to complete the same steps as open surgery under television monitoring, achieving the same surgical results. The advantages of two-hole laparoscopic surgery are obvious. First, the trauma is very small, only two small openings, with very small scars. Second, the operation is a direct and single approach, minimizing damage to surrounding tissues and reducing the likelihood of postoperative adhesion. Third, postoperative wound pain is significantly reduced. Fourth, hospital stay is shorter, with some patients being discharged in 2-3 days and fully recovered and able to work in 7 days. Two-hole laparoscopic and laparoscopic urological surgery can be used for the following urological treatments, such as kidney cyst resection, testicular descent, and varicocele ligation. Laparoscopic surgery patients need to follow medical advice to ensure safe and rapid healing of the surgical site after surgery. However, the existing laparoscopic postoperative rehabilitation process cannot guarantee that patients will scientifically and accurately perform laparoscopic postoperative rehabilitation contraindications, reducing the effectiveness of laparoscopic postoperative recovery.

[0003] Chinese patent application with publication number CN119230049A and publication date 2024.12.31 discloses a patient postoperative rehabilitation guidance system based on neuroelectrophysiological monitoring, which collects patient neuroelectrophysiological parameters and provides a rehabilitation guidance model strategy based on the monitored real-time data; however, the above technical solution cannot dynamically monitor postoperative rehabilitation behavior. SUMMARY

[0004] (I) Technical problems to be solved

[0005] To solve the above problem of scientifically formulating laparoscopic postoperative rehabilitation contraindication information for patients, and not being able to guarantee that patients will scientifically and accurately perform laparoscopic postoperative rehabilitation contraindications, reducing the effectiveness of laparoscopic postoperative recovery, the above scientific formulation of laparoscopic postoperative rehabilitation contraindication information for patients, dynamic monitoring of postoperative rehabilitation behavior, intelligent identification of postoperative rehabilitation contraindications, and visual reminder of postoperative rehabilitation contraindications are achieved.

[0006] (II) Technical solutions

[0007] The application is implemented by the following technical scheme: a laparoscopic postoperative rehabilitation guidance method based on artificial intelligence, which comprises the following steps:

[0008] S1, collecting postoperative time text data of a patient and patient disease characteristic text data;

[0009] S2, performing correlation value statistical processing on a laparoscopic surgery patient and a laparoscopic surgery rehabilitation contraindication item according to the postoperative time text data of the patient, the patient disease characteristic text data and laparoscopic postoperative patient rehabilitation contraindication item text data, and generating laparoscopic postoperative patient rehabilitation contraindication item correlation degree statistical data;

[0010] S3, performing postoperative rehabilitation contraindication item information analysis processing required by a laparoscopic surgery patient according to the laparoscopic postoperative patient rehabilitation contraindication item correlation degree statistical data and the laparoscopic postoperative patient rehabilitation contraindication item text data, and generating laparoscopic postoperative patient required rehabilitation contraindication item text data;

[0011] S4, collecting patient postoperative rehabilitation process behavior image data;

[0012] S5, performing rehabilitation behavior identification processing of a laparoscopic surgery patient in a postoperative rehabilitation process based on the patient postoperative rehabilitation process real-time behavior image data and laparoscopic postoperative patient different type rehabilitation behavior image data, and generating laparoscopic postoperative patient rehabilitation behavior identification data;

[0013] S6, performing rehabilitation contraindication behavior judgment processing of a laparoscopic surgery patient in a postoperative rehabilitation process according to the laparoscopic postoperative patient required rehabilitation contraindication item text data and the laparoscopic postoperative patient rehabilitation behavior identification data, and generating laparoscopic postoperative patient rehabilitation contraindication behavior judgment data; when it is a rehabilitation normal behavior, S4, S5 and S6 are repeatedly executed until the laparoscopic surgery patient postoperative rehabilitation work of the day is completed;

[0014] S7, when it is a rehabilitation contraindication behavior, constructing laparoscopic postoperative patient rehabilitation contraindication behavior monitoring data and performing laparoscopic postoperative patient rehabilitation contraindication behavior pushing work, and after the pushing work is completed, S4, S5 and S6 are repeatedly executed until the laparoscopic surgery patient postoperative rehabilitation work of the day is completed.

[0015] Preferably, the operation steps of collecting the postoperative time text data of the patient and the patient disease characteristic text data are as follows:

[0016] S11, collecting time characteristic information of the postoperative day of the target laparoscopic surgery patient through a hospital management platform online, and generating patient postoperative time text data ;

[0017] Collect text information about the disease characteristics of target laparoscopic surgery patients online through the hospital management platform and generate text data on the patient's disease characteristics The patient disease characteristic text data includes disease type information, disease symptom characteristic information and disease time information of laparoscopic surgery patients.

[0018] Preferably, the numerical statistical processing of the correlation between laparoscopic surgery patients and laparoscopic surgery rehabilitation contraindication items is performed based on the patient's postoperative day and time text data, the patient's symptom characteristic text data, and the text data of laparoscopic surgery patient rehabilitation contraindication items, and the operating steps for generating statistical data on the correlation between laparoscopic surgery patient rehabilitation contraindication items are as follows:

[0019] S21. Establish a text data set of contraindications for rehabilitation of patients after laparoscopic surgery , ;in Indicates the The text data of contraindications for rehabilitation of patients after laparoscopic surgery corresponding to the combination of characteristics of patients after laparoscopic surgery, Represents the maximum number of postoperative laparoscopic patient feature combination types; postoperative laparoscopic patient feature combination types represent index data types formed by combining patient postoperative day and time information and patient symptom feature information for searching for information on postoperative laparoscopic patient rehabilitation contraindications; the postoperative laparoscopic patient rehabilitation contraindication text data represent optimal postoperative laparoscopic patient rehabilitation contraindication information set for different postoperative laparoscopic patient feature combination types; postoperative laparoscopic patient rehabilitation contraindications include running, jumping, weightlifting, eating spicy food, eating greasy food, drinking, smoking, and rubbing wounds;

[0020] S22, using a unified cost search algorithm to search the patient's postoperative day time text data , the patient's disease characteristic text data A text data set of postoperative laparoscopic patient rehabilitation contraindications, ordered by postoperative laparoscopic patient feature combination type number. Text data on contraindications for rehabilitation of patients after laparoscopic surgery Perform postoperative day and time keyword matching with patient symptom feature keyword matching to search for the postoperative day and time text data of the patient , the patient's disease characteristic text data Text data on contraindications for postoperative laparoscopic patient rehabilitation The total number of keywords that successfully match the patient's postoperative day and time keywords and the patient's disease feature keywords, and generate a set of the total number of associated characters for the rehabilitation contraindications for patients after laparoscopic surgery ,in patient postoperative day time text data patient postoperative day time text data patient condition characteristic text data patient postoperative day time keyword, patient condition characteristic keyword matching corresponding laparoscopic postoperative patient rehabilitation taboo project associated character total number; The unit is piece;

[0021] S23, using‌ Boyer-Moore search algorithm according to laparoscopic postoperative patient feature combination type number ordered search out the laparoscopic postoperative patient rehabilitation taboo project text data set The laparoscopic postoperative patient rehabilitation taboo project text data in the internal The total number of patient postoperative day time keywords and patient condition characteristic keywords in the laparoscopic postoperative patient rehabilitation taboo project, generate the total number of patient feature characters in the laparoscopic postoperative patient rehabilitation taboo project Wherein The laparoscopic postoperative patient rehabilitation taboo project text data The total number of patient feature characters in the corresponding laparoscopic postoperative patient rehabilitation taboo project, The unit is piece;

[0022] S24, the total number of laparoscopic postoperative patient rehabilitation taboo project associated characters in the laparoscopic postoperative patient rehabilitation taboo project associated character total number set The total number of laparoscopic postoperative patient rehabilitation taboo project associated characters in the laparoscopic postoperative patient rehabilitation taboo project associated character total number set The total number of patient feature characters in the laparoscopic postoperative patient rehabilitation taboo project According to the laparoscopic postoperative patient feature combination type number ordered character number value processing, the laparoscopic postoperative patient rehabilitation taboo project correlation degree statistical data set is calculated out Wherein The patient postoperative day time text data The patient condition characteristic text data The laparoscopic postoperative patient rehabilitation taboo project text data The laparoscopic postoperative patient rehabilitation taboo project correlation degree statistical data corresponding to, wherein , The greater the value, the greater the degree of association between the patient postoperative day time text data The patient condition characteristic text data The laparoscopic postoperative patient rehabilitation taboo project text data The greater the value, the greater the degree of association between the patient postoperative day time text data The patient condition characteristic text data The patient condition characteristic text data Text data on contraindications for rehabilitation of patients after laparoscopic surgery The smaller the correlation.

[0023] Preferably, the steps of analyzing and processing the information of postoperative rehabilitation contraindication items required for laparoscopic surgery patients based on the statistical data on the correlation of rehabilitation contraindication items for postoperative laparoscopic surgery patients and the text data of rehabilitation contraindication items for postoperative laparoscopic surgery patients to generate the text data of rehabilitation contraindication items required for postoperative laparoscopic surgery patients are as follows:

[0024] S31. Obtaining a text data set of contraindications for rehabilitation of patients after laparoscopic surgery A statistical data set of correlations with the contraindications for rehabilitation of patients after laparoscopic surgery ;

[0025] S32, using an iterative deepening search algorithm to collect statistical data on the association degree of the contraindications for rehabilitation of patients after laparoscopic surgery Search for the statistical data of the correlation degree of the rehabilitation contraindications for patients after laparoscopic surgery with the largest correlation value , and based on the correlation statistics of the rehabilitation contraindications for patients after laparoscopic surgery with the largest correlation value The corresponding laparoscopic postoperative patient feature combination type number information, in the text data set of the laparoscopic postoperative patient rehabilitation contraindication items Search for the statistical data of the correlation between the rehabilitation contraindications for patients after laparoscopic surgery and the items with the largest correlation value Matched text data of contraindications for postoperative laparoscopic patients , and generate text data of rehabilitation contraindications required by patients after laparoscopic surgery through data identification .

[0026] Preferably, the steps for collecting behavioral image data of the patient's postoperative rehabilitation process are as follows:

[0027] S41, collecting text data of rehabilitation contraindications required by target laparoscopic surgery patients online through the hospital ward cloud camera Conduct specific behavioral characteristic images of the postoperative rehabilitation process after laparoscopy and generate behavioral image data of the patient's postoperative rehabilitation process .

[0028] Preferably, rehabilitation behavior recognition processing of laparoscopic surgery patients during the postoperative rehabilitation process is performed based on the real-time behavioral image data of the patient's postoperative rehabilitation process and the image data of different types of rehabilitation behaviors of patients after laparoscopic surgery. The operation steps for generating rehabilitation behavior recognition data of laparoscopic surgery patients after surgery are as follows:

[0029] S51. Establish image data sets of different types of rehabilitation behaviors of patients after laparoscopic surgery , ;in Indicates the image data of different types of rehabilitation behaviors of patients after laparoscopic surgery corresponding to different types of rehabilitation behaviors, represents the maximum number of rehabilitation behavior types; the image data of different types of rehabilitation behaviors of patients after laparoscopic surgery represent standard image information set for different types of rehabilitation behaviors of patients during the postoperative rehabilitation process of laparoscopic surgery, and the rehabilitation behavior types include warm water wound washing behavior, wound disinfection behavior, running behavior, jumping behavior, weight lifting behavior, walking behavior, eating spicy food behavior, eating greasy food behavior, drinking behavior, smoking behavior, and wound rubbing behavior;

[0030] S52, using the FLANN image feature search algorithm to search the patient's postoperative rehabilitation process behavior image data Image data set of different types of rehabilitation behaviors of patients after laparoscopic surgery Image data of different types of rehabilitation behaviors of patients after laparoscopic surgery Perform image feature matching to search for behavioral image data related to the patient's postoperative rehabilitation process Matched image data of different types of rehabilitation behaviors of patients after laparoscopic surgery Corresponding rehabilitation behavior type text information, and constructing the rehabilitation behavior identification data of the laparoscopic postoperative patient .

[0031] Preferably, based on the text data of the rehabilitation contraindication items required by the laparoscopic surgery patient and the rehabilitation behavior identification data of the laparoscopic surgery patient, the rehabilitation contraindication behavior of the laparoscopic surgery patient in the postoperative rehabilitation process is judged and processed to generate the rehabilitation contraindication behavior judgment data of the laparoscopic surgery patient; when it is a normal rehabilitation behavior, the operation steps of S4, S5, and S6 are repeatedly executed until the postoperative rehabilitation work of the laparoscopic surgery patient on that day is completed as follows:

[0032] S61. Obtaining text data of rehabilitation contraindications required for the patient after laparoscopic surgery and the rehabilitation behavior identification data of patients after laparoscopic surgery ;

[0033] S62, the rehabilitation behavior identification data of the patient after laparoscopic surgery Text data on contraindications for rehabilitation required for patients after laparoscopic surgery Perform keyword matching of rehabilitation behavior types, and generate judgment data on rehabilitation contraindications for patients after laparoscopic surgery based on the results of keyword matching of rehabilitation behavior types ; performing generating the laparoscopic postoperative patient rehabilitation taboo behavior judgment data The specific operation steps are as follows:

[0034] S621, initialize parameters, update the maximum number of iterations T of the algorithm;

[0035] S622, initialize the position of the rehabilitation behavior identification albatross population in the search space of the laparoscopic postoperative patient required rehabilitation taboo item text data ;

[0036] S623, calculate the fitness value of all rehabilitation taboo items in the laparoscopic postoperative patient required rehabilitation taboo item text data and the laparoscopic postoperative patient rehabilitation behavior identification data , and retain the global optimal position of the rehabilitation taboo item with the maximum fitness value of the laparoscopic postoperative patient rehabilitation behavior identification data in the search space of the laparoscopic postoperative patient required rehabilitation taboo item text data ;

[0037] S624, migration, global search: the migration behavior of the rehabilitation behavior identification albatross mainly has three steps, the first is to satisfy the collision avoidance conditions between different rehabilitation behavior identification albatross individuals in the search space of the laparoscopic postoperative patient required rehabilitation taboo item text data ; the second is to calculate the best position direction of the rehabilitation taboo item matched with the laparoscopic postoperative patient rehabilitation behavior identification data in the search space of the laparoscopic postoperative patient required rehabilitation taboo item text data ; the third is to move to a new position according to the direction of the best position of the best matched rehabilitation taboo item of the laparoscopic postoperative patient rehabilitation behavior identification data ;

[0038] S6241, calculate the new position of the rehabilitation behavior identification albatross in the search space of the laparoscopic postoperative patient required rehabilitation taboo item text data without collision with adjacent rehabilitation behavior identification albatrosses during movement ; , ; wherein represents the current position of the rehabilitation behavior identification albatross in the search space of the laparoscopic postoperative patient required rehabilitation taboo item text data , represents the current iteration number; represents the movement behavior of the rehabilitation behavior identification albatross in the search space of the laparoscopic postoperative patient required rehabilitation taboo item text data ; denotes control a function of the change frequency, denotes the maximum number of iterations;

[0039] S6242, calculate the best position of the best matching rehabilitation contraindication item in the search space of the laparoscopic postoperative patient required rehabilitation contraindication item text data with the laparoscopic postoperative patient rehabilitation behavior identification data ; , wherein denotes searching the best position of the best matching rehabilitation contraindication item in the search space of the laparoscopic postoperative patient required rehabilitation contraindication item text data with the laparoscopic postoperative patient rehabilitation behavior identification data ; denotes a random number balancing global and local search capabilities, denotes a random number taking values in the interval [0, 1];

[0040] S6243, move to a new position according to the direction of the best position of the best matching rehabilitation contraindication item in the search space of the laparoscopic postoperative patient required rehabilitation contraindication item text data with the laparoscopic postoperative patient rehabilitation behavior identification data ; , search the new position of the best matching rehabilitation contraindication item in the search space of the laparoscopic postoperative patient required rehabilitation contraindication item text data with the laparoscopic postoperative patient rehabilitation behavior identification data ;

[0041] S625, attack the prey, local search, the rehabilitation behavior identification seagull attacks the prey of the laparoscopic postoperative patient required rehabilitation contraindication item text data with the laparoscopic postoperative patient rehabilitation behavior identification data ; , the new position of the rehabilitation behavior identification seagull after attacking the prey , search the prey of the best matching rehabilitation contraindication item in the search space of the laparoscopic postoperative patient required rehabilitation contraindication item text data with the laparoscopic postoperative patient rehabilitation behavior identification data ;

[0042] ​​S626, determine whether the maximum number of iterations is met, output the laparoscopic postoperative patient rehabilitation behavior recognition data The matched rehabilitation contraindication project; if not met, return to step S623;

[0043] S627, according to the laparoscopic postoperative patient rehabilitation behavior recognition data The laparoscopic postoperative patient rehabilitation contraindication behavior judgment data is generated by matching the rehabilitation contraindication project ;

[0044] When With The rehabilitation behavior type keyword matching is successful, indicating that the laparoscopic surgery patient postoperative rehabilitation process exists rehabilitation contraindication behavior, then output the laparoscopic postoperative patient rehabilitation contraindication behavior judgment data For rehabilitation contraindication behavior;

[0045] When With The rehabilitation behavior type keyword matching is not successful, indicating that the laparoscopic surgery patient postoperative rehabilitation process does not exist rehabilitation contraindication behavior, then output the laparoscopic postoperative patient rehabilitation contraindication behavior judgment data For rehabilitation normal behavior; at this time, repeat the execution of S4, S5, S6 until the laparoscopic surgery patient postoperative rehabilitation work ends.

[0046] Preferably, when the rehabilitation contraindication behavior is constructed, the laparoscopic postoperative patient rehabilitation contraindication behavior monitoring data is constructed and the laparoscopic postoperative patient rehabilitation contraindication behavior pushing work is executed, and the operation steps after the pushing work is completed are as follows: repeat the execution of S4, S5, S6 until the laparoscopic surgery patient postoperative rehabilitation work ends.

[0047] S71, when the laparoscopic postoperative patient rehabilitation contraindication behavior judgment data For rehabilitation contraindication behavior, the patient postoperative rehabilitation process behavior image data , the laparoscopic postoperative patient rehabilitation behavior recognition data The laparoscopic postoperative patient rehabilitation contraindication behavior monitoring data is constructed through data combination identification , wherein ;

[0048] S72, the hospital management platform transmits the laparoscopic postoperative patient rehabilitation contraindication behavior monitoring data Through the Internet of Things communication network to the information feedback display screen of the hospital ward where the laparoscopic surgery patient is located to execute the laparoscopic postoperative patient rehabilitation contraindication behavior pushing work, and repeat the execution of S4, S5, S6 until the laparoscopic surgery patient postoperative rehabilitation work ends after the pushing work is completed.

[0049] An artificial intelligence-based laparoscopic postoperative rehabilitation guidance system for implementing the artificial intelligence-based laparoscopic postoperative rehabilitation guidance method, the system comprising a laparoscopic postoperative rehabilitation contraindication item formulation module, a laparoscopic postoperative rehabilitation contraindication behavior monitoring module, and a laparoscopic postoperative rehabilitation contraindication behavior feedback module.

[0050] The laparoscopic postoperative rehabilitation contraindication item formulation module comprises a postoperative time information acquisition unit for patients, a patient condition characteristic information acquisition unit, a laparoscopic postoperative patient rehabilitation contraindication item information storage unit, a laparoscopic postoperative patient rehabilitation contraindication item correlation degree measurement unit, and a laparoscopic postoperative patient daily rehabilitation contraindication item analysis unit.

[0051] The postoperative time information acquisition unit for patients acquires postoperative time text data through a hospital management platform; the patient condition characteristic information acquisition unit acquires patient condition characteristic text data through the hospital management platform; the laparoscopic postoperative patient rehabilitation contraindication item information storage unit is used for storing laparoscopic postoperative patient rehabilitation contraindication item text data; the laparoscopic postoperative patient rehabilitation contraindication item correlation degree measurement unit performs correlation degree numerical statistical processing of laparoscopic surgery patients and laparoscopic surgery rehabilitation contraindication items according to the postoperative time text data for patients, the patient condition characteristic text data, and the laparoscopic postoperative patient rehabilitation contraindication item text data, to generate laparoscopic postoperative patient rehabilitation contraindication item correlation degree statistical data; and the laparoscopic postoperative patient daily rehabilitation contraindication item analysis unit performs postoperative rehabilitation contraindication item information analysis processing required for laparoscopic surgery patients according to the laparoscopic postoperative patient rehabilitation contraindication item correlation degree statistical data and the laparoscopic postoperative patient rehabilitation contraindication item text data, to generate laparoscopic postoperative patient required rehabilitation contraindication item text data.

[0052] The laparoscopic postoperative rehabilitation contraindication behavior monitoring module comprises a postoperative rehabilitation behavior image acquisition unit for patients, a laparoscopic postoperative patient different type rehabilitation behavior image storage unit, a postoperative rehabilitation behavior recognition unit for patients, and a postoperative rehabilitation contraindication behavior judgment unit.

[0053] The patient postoperative rehabilitation behavior image acquisition unit acquires patient postoperative rehabilitation process behavior image data online through a cloud lens; the laparoscopic postoperative patient different type rehabilitation behavior image storage unit is used for storing laparoscopic postoperative patient different type rehabilitation behavior image data; the patient postoperative rehabilitation behavior recognition unit performs rehabilitation behavior recognition processing of a laparoscopic surgery patient in a postoperative rehabilitation process based on the patient postoperative rehabilitation process real-time behavior image data and the laparoscopic postoperative patient different type rehabilitation behavior image data, and generates laparoscopic postoperative patient rehabilitation behavior recognition data; the patient postoperative rehabilitation taboo behavior judgment unit performs rehabilitation taboo behavior judgment processing of a laparoscopic surgery patient in a postoperative rehabilitation process according to the laparoscopic postoperative patient required rehabilitation taboo item text data and the laparoscopic postoperative patient rehabilitation behavior recognition data, and generates laparoscopic postoperative patient rehabilitation taboo behavior judgment data.

[0054] The laparoscopic postoperative rehabilitation taboo behavior feedback module comprises a laparoscopic postoperative patient rehabilitation taboo behavior collection unit and a laparoscopic postoperative patient rehabilitation taboo behavior display unit.

[0055] The laparoscopic postoperative patient rehabilitation taboo behavior collection unit constructs laparoscopic postoperative patient rehabilitation taboo behavior monitoring data based on patient postoperative rehabilitation process behavior image information and laparoscopic postoperative patient rehabilitation behavior recognition information; and the laparoscopic postoperative patient rehabilitation taboo behavior display unit performs laparoscopic postoperative patient rehabilitation taboo behavior pushing work in combination with a hospital management platform and an information feedback display screen according to the laparoscopic postoperative patient rehabilitation taboo behavior monitoring data.

[0056] (Three) beneficial effects

[0057] The present application provides a kind of based on artificial intelligence's laparoscopic postoperative rehabilitation guidance system and method.There is the following beneficial effect:

[0058] I, accurate acquisition of patient postoperative daily time information and patient disease characteristic information is carried out through hospital management platform, and reliable data support is provided for scientific planning laparoscopic postoperative patient rehabilitation taboo item;According to patient postoperative daily time information, patient disease characteristic information and laparoscopic postoperative patient rehabilitation taboo item information based on big data storage, the correlation degree of laparoscopic surgery patient and laparoscopic surgery rehabilitation taboo item is digitized analyzed and processed, the matching degree of laparoscopic postoperative patient rehabilitation taboo item is scientifically and accurately counted, and the scientific nature of laparoscopic postoperative patient rehabilitation guidance is improved;According to laparoscopic postoperative patient rehabilitation taboo item correlation degree statistical information, laparoscopic postoperative patient rehabilitation taboo item information is carried out for laparoscopic surgery patient postoperative rehabilitation taboo item information customization selection, laparoscopic postoperative rehabilitation taboo item information is accurately matched based on laparoscopic surgery patient's postoperative time, disease, and intelligent and humanized management of laparoscopic postoperative patient rehabilitation guidance is realized.

[0059] II. Collecting the behavior image information of the postoperative rehabilitation process of the patient through the cloud lens online accurately, providing reliable data support for scientific supervision of the postoperative rehabilitation behavior of the patient; based on the real-time behavior image information of the postoperative rehabilitation process of the patient, combining the intelligent image search algorithm with the scientifically preset different types of postoperative rehabilitation behavior image information of the patient after the laparoscopic surgery, performing intelligent recognition of the rehabilitation behavior of the patient after the laparoscopic surgery in the postoperative rehabilitation process, realizing dynamic and accurate supervision of the postoperative rehabilitation behavior of the patient; according to the rehabilitation taboo project information required by the patient after the laparoscopic surgery, the rehabilitation behavior recognition information of the patient after the laparoscopic surgery, and the artificial intelligence recognition algorithm, performing intelligent judgment of the rehabilitation taboo behavior of the patient after the laparoscopic surgery in the postoperative rehabilitation process, realizing intelligent supervision of the rehabilitation taboo behavior of the patient after the laparoscopic surgery, and improving the quality of the postoperative rehabilitation guidance of the patient after the laparoscopic surgery.

[0060] III. Based on the behavior image information of the postoperative rehabilitation process of the patient, the rehabilitation behavior recognition information of the patient after the laparoscopic surgery, and the data processing, the postoperative rehabilitation taboo behavior monitoring information of the patient after the laparoscopic surgery is constructed in a timely and efficient manner, the dynamic and efficient collection of the postoperative rehabilitation guidance results of the patient after the laparoscopic surgery is realized; according to the postoperative rehabilitation taboo behavior monitoring information of the patient after the laparoscopic surgery, the hospital management platform, and the information feedback display screen, the postoperative rehabilitation taboo behavior pushing task of the patient after the laparoscopic surgery is efficiently visualized, the dynamic and intuitive feedback of the postoperative rehabilitation taboo behavior of the patient after the laparoscopic surgery is realized, and the applicability and execution effect of the postoperative rehabilitation guidance of the patient after the laparoscopic surgery are improved. BRIEF DESCRIPTION OF DRAWINGS

[0061] Fig. 1 A module schematic diagram of a laparoscopic postoperative rehabilitation guidance system based on artificial intelligence is provided for the present application.

[0062] Fig. 2 A flowchart of a laparoscopic postoperative rehabilitation guidance method based on artificial intelligence is provided for the present application. DETAILED DESCRIPTION

[0063] The technical solutions in the embodiments of the present application will be described clearly and completely below with reference to the drawings in the embodiments of the present application. Obviously, the described embodiments are only a part of the embodiments of the present application, rather than all the embodiments. Based on the embodiments in the present application, all other embodiments obtained by those skilled in the art without creative labor fall within the scope of protection of the present application.

[0064] The embodiments of the laparoscopic postoperative rehabilitation guidance system and method based on artificial intelligence are as follows:

[0065] Embodiment 1:

[0066] Please refer to Figs. 1-2 A laparoscopic postoperative rehabilitation guidance method based on artificial intelligence, the method comprising the following steps:

[0067] S1, collect postoperative day text data of a patient and text data of a patient's disease characteristics;

[0068] S2, perform correlation value statistical processing of a laparoscopic surgery patient and a laparoscopic surgery rehabilitation taboo item based on the postoperative day text data of the patient, the text data of the patient's disease characteristics, and text data of a laparoscopic postoperative patient rehabilitation taboo item, to generate laparoscopic postoperative patient rehabilitation taboo item correlation degree statistical data;

[0069] S3, perform postoperative rehabilitation taboo item information analysis processing required for a laparoscopic surgery patient based on the laparoscopic postoperative patient rehabilitation taboo item correlation degree statistical data and the laparoscopic postoperative patient rehabilitation taboo item text data, to generate laparoscopic postoperative patient required rehabilitation taboo item text data;

[0070] S4, collect postoperative rehabilitation process behavior image data of a patient;

[0071] S5, perform rehabilitation behavior recognition processing of a laparoscopic surgery patient in a postoperative rehabilitation process based on the postoperative rehabilitation process real-time behavior image data of the patient and different type rehabilitation behavior image data of a laparoscopic postoperative patient, to generate laparoscopic postoperative patient rehabilitation behavior recognition data;

[0072] S6, perform rehabilitation taboo behavior judgment processing of a laparoscopic surgery patient in a postoperative rehabilitation process based on the laparoscopic postoperative patient required rehabilitation taboo item text data and the laparoscopic postoperative patient rehabilitation behavior recognition data, to generate laparoscopic postoperative patient rehabilitation taboo behavior judgment data; when it is a normal rehabilitation behavior, repeat S4, S5, and S6 until the postoperative rehabilitation work of the laparoscopic surgery patient on the day is completed;

[0073] S7, when it is a rehabilitation taboo behavior, construct laparoscopic postoperative patient rehabilitation taboo behavior monitoring data and perform laparoscopic postoperative patient rehabilitation taboo behavior pushing work, and after the pushing work is completed, repeat S4, S5, and S6 until the postoperative rehabilitation work of the laparoscopic surgery patient on the day is completed.

[0074] Further, please refer to Figs. 1-2 , the operation steps of collecting postoperative day text data of a patient and text data of a patient's disease characteristics are as follows:

[0075] S11, collect the time characteristic information of the postoperative day of the target laparoscopic surgery patient through the hospital management platform online, and generate the postoperative day text data of the patient ;

[0076] Collect the text information of the disease characteristics of the target laparoscopic surgery patient through the hospital management platform online, and generate the text data of the patient's disease characteristics ,The patient disease characteristic text data includes the disease type information, ,disease symptom characteristic information and disease time information of ,laparoscopic surgery patients.

[0077] Based on the text data of the patient's postoperative day and time, the text data of the patient's symptom characteristics, and the text data of the rehabilitation contraindications for patients after laparoscopic surgery, the numerical statistical processing of the correlation between laparoscopic surgery patients and laparoscopic surgery rehabilitation contraindications is performed. The steps for generating the statistical data of the correlation between the rehabilitation contraindications for patients after laparoscopic surgery are as follows:

[0078] S21. Establish a text data set of contraindications for rehabilitation of patients after laparoscopic surgery , ;in Indicates the The text data of contraindications for rehabilitation of patients after laparoscopic surgery corresponding to the combination of characteristics of patients after laparoscopic surgery, Represents the maximum number of postoperative laparoscopic patient feature combination types; postoperative laparoscopic patient feature combination types represent index data types formed by combining patient postoperative day time information and patient symptom feature information for searching for information on postoperative laparoscopic patient rehabilitation contraindications; postoperative laparoscopic patient rehabilitation contraindication item text data represent optimal postoperative laparoscopic patient rehabilitation contraindication item information set for different postoperative laparoscopic patient feature combination types; postoperative laparoscopic patient rehabilitation contraindications include running, jumping, weightlifting, eating spicy food, eating greasy food, drinking, smoking, and rubbing wounds;

[0079] S22, using a unified cost search algorithm to convert the patient's postoperative day time text data , patient disease characteristic text data A text data set of postoperative laparoscopic patients' rehabilitation contraindications, ordered by type and feature combination. Text data on contraindications for rehabilitation of patients after laparoscopic surgery Match the patient's postoperative day and time keywords and the patient's symptom feature keywords to search for the patient's postoperative day and time text data , patient disease characteristic text data Text data on contraindications for rehabilitation of patients after laparoscopic surgery The total number of keywords that successfully match the patient's postoperative day and time keywords and the patient's disease feature keywords, and generate a set of the total number of associated characters for laparoscopic postoperative patient rehabilitation contraindications ,in Represents text data of contraindications for postoperative rehabilitation of patients after laparoscopic surgery Text data of the patient's postoperative day and time , patient disease characteristic text data The total number of the corresponding laparoscopic postoperative patient rehabilitation taboo project associated character is counted according to the patient postoperative day time keyword and the patient disease feature keyword. The unit is piece.

[0080] S23, the Boyer-Moore search algorithm is used to search the laparoscopic postoperative patient rehabilitation taboo project text data set according to the laparoscopic postoperative patient feature combination type number in order The laparoscopic postoperative patient rehabilitation taboo project text data in the internal The total number of the patient postoperative day time keyword and the patient disease feature keyword in the laparoscopic postoperative patient rehabilitation taboo project is generated to form the total number of patient feature characters in the laparoscopic postoperative patient rehabilitation taboo project , wherein The laparoscopic postoperative patient rehabilitation taboo project text data The total number of patient feature characters in the corresponding laparoscopic postoperative patient rehabilitation taboo project, The unit is piece.

[0081] S24, the total number of laparoscopic postoperative patient rehabilitation taboo project associated characters The total number of laparoscopic postoperative patient rehabilitation taboo project associated characters in the laparoscopic postoperative patient rehabilitation taboo project The total number of patient feature characters in the laparoscopic postoperative patient rehabilitation taboo project According to the laparoscopic postoperative patient feature combination type number in order, the character number value is processed, and the laparoscopic postoperative patient rehabilitation taboo project correlation degree statistical data set is measured , wherein The patient postoperative day time text data , patient disease feature text data The laparoscopic postoperative patient rehabilitation taboo project text data The corresponding laparoscopic postoperative patient rehabilitation taboo project correlation degree statistical data, wherein , The greater the value is, the greater the correlation degree of the patient postoperative day time text data , patient disease feature text data The laparoscopic postoperative patient rehabilitation taboo project text data The smaller the value is, the smaller the correlation degree of the patient postoperative day time text data , patient disease feature text data The laparoscopic postoperative patient rehabilitation taboo project text data

[0082] ​​The steps for analyzing and processing the information of postoperative rehabilitation contraindications required by laparoscopic surgery patients based on the statistical data on the correlation of rehabilitation contraindications for laparoscopic surgery patients and the text data of rehabilitation contraindications for laparoscopic surgery patients are as follows:

[0083] S31. Obtain text data set of contraindications for rehabilitation of patients after laparoscopic surgery Statistical data collection on the correlation between the rehabilitation contraindications of patients after laparoscopic surgery ;

[0084] S32, using iterative deepening search algorithm to collect statistical data on the correlation degree of contraindication items for rehabilitation of patients after laparoscopic surgery Search for the statistical data of the correlation degree of the rehabilitation contraindications for patients after laparoscopic surgery with the largest correlation value , and based on the statistical data of the correlation of the rehabilitation contraindications of patients after laparoscopic surgery with the largest correlation value Corresponding laparoscopic postoperative patient feature combination type number information, in the laparoscopic postoperative patient rehabilitation contraindication item text data set Search for the statistical data of the correlation between the rehabilitation contraindications of laparoscopic surgery patients and the items with the largest correlation value Matched text data of contraindications for rehabilitation of patients after laparoscopic surgery , and generate text data of rehabilitation contraindications required by patients after laparoscopic surgery through data identification .

[0085] Through the cooperation of the patient's postoperative day time information collection unit and the patient's symptom characteristic information collection unit, the hospital management platform accurately collects the patient's postoperative day time information and patient's symptom characteristic information, and provides reliable data support for the scientific planning of laparoscopic postoperative patient rehabilitation contraindication items; the laparoscopic postoperative patient rehabilitation contraindication item information storage unit and the laparoscopic postoperative patient rehabilitation contraindication item correlation measurement unit cooperate with each other, and carry out laparoscopic surgery patients and laparoscopic surgery rehabilitation contraindication according to the patient's postoperative day time information, patient's symptom characteristic information and laparoscopic postoperative patient rehabilitation contraindication item information based on big data storage. The digital analysis and processing of the correlation of items can realize the scientific and accurate statistics of the matching degree of rehabilitation contraindication items for patients after laparoscopic surgery, and improve the scientific nature of rehabilitation guidance for patients after laparoscopic surgery; the daily rehabilitation contraindication item analysis unit for patients after laparoscopic surgery can customize the selection of rehabilitation contraindication item information for patients after laparoscopic surgery based on the statistical information of the correlation of rehabilitation contraindication items for patients after laparoscopic surgery and the information of rehabilitation contraindication items for patients after laparoscopic surgery, so as to realize the accurate matching of rehabilitation contraindication item information for patients after laparoscopic surgery based on the postoperative time and symptoms of patients after laparoscopic surgery, and realize the intelligent and humanized management of rehabilitation guidance for patients after laparoscopic surgery.

[0086] For further information, seeFigs. 1-2 The operation steps of collecting the postoperative rehabilitation process behavior image data of the patient are as follows:

[0087] S41, collecting the postoperative rehabilitation process behavior image data of the patient by the hospital ward cloud lens online The specific behavior feature image of the laparoscopic postoperative rehabilitation process is generated, and the postoperative rehabilitation process behavior image data of the patient is generated .

[0088] Based on the real-time behavior image data of the patient in the postoperative rehabilitation process and the different types of rehabilitation behavior image data of the laparoscopic postoperative patient, the rehabilitation behavior recognition processing of the laparoscopic postoperative patient in the postoperative rehabilitation process is performed, and the operation steps of generating the laparoscopic postoperative patient rehabilitation behavior recognition data are as follows:

[0089] S51, establishing a set of different types of rehabilitation behavior image data of laparoscopic postoperative patients , ; wherein represents the rehabilitation behavior type corresponding to the different types of rehabilitation behavior image data of the laparoscopic postoperative patient , and represents the maximum value of the number of rehabilitation behavior types; the different types of rehabilitation behavior image data of the laparoscopic postoperative patient represents the standard image information set for different types of rehabilitation behaviors of the laparoscopic postoperative patient in the postoperative rehabilitation process, and the rehabilitation behavior types include warm water cleaning wound behavior, wound disinfection behavior, running behavior, jumping behavior, weight lifting behavior, walking behavior, eating spicy food behavior, eating greasy food behavior, drinking behavior, smoking behavior and rubbing wound behavior;

[0090] S52, using the FLANN image feature search algorithm to perform image feature matching between the postoperative rehabilitation process behavior image data of the patient and the different types of rehabilitation behavior image data of the laparoscopic postoperative patient in the set The different types of rehabilitation behavior image data of the laparoscopic postoperative patient Search for the corresponding rehabilitation behavior type text information of the laparoscopic postoperative patient different types of rehabilitation behavior image data matched with the postoperative rehabilitation process behavior image data of the patient , and construct the laparoscopic postoperative patient rehabilitation behavior recognition data .

[0091] According to the text data of the required rehabilitation taboo items of the laparoscopic postoperative patient, the laparoscopic postoperative patient rehabilitation behavior recognition data, the rehabilitation taboo behavior judgment processing of the laparoscopic postoperative patient in the postoperative rehabilitation process is performed, and the laparoscopic postoperative patient rehabilitation taboo behavior judgment data is generated; when it is a normal rehabilitation behavior, the operation steps of repeating S4, S5 and S6 until the operation step of the laparoscopic postoperative patient postoperative rehabilitation work on the same day is as follows:

[0092] S61, acquiring the text data of the required rehabilitation taboo items of the laparoscopic postoperative patient and the laparoscopic postoperative patient rehabilitation behavior recognition data ;

[0093] S62, performing rehabilitation behavior type keyword matching on the laparoscopic postoperative patient rehabilitation behavior recognition data and the text data of the required rehabilitation taboo items of the laparoscopic postoperative patient , generating the laparoscopic postoperative patient rehabilitation taboo behavior judgment data according to the rehabilitation behavior type keyword matching result ; the specific operation steps of generating the laparoscopic postoperative patient rehabilitation taboo behavior judgment data are as follows:

[0094] S621, initializing parameters and updating the maximum iteration number T of the algorithm;

[0095] S622, initializing the position of the rehabilitation behavior recognition seabird population in the search space of the text data of the required rehabilitation taboo items of the laparoscopic postoperative patient ;

[0096] S623, calculating the fitness value of all rehabilitation taboo items in the text data of the required rehabilitation taboo items of the laparoscopic postoperative patient and the laparoscopic postoperative patient rehabilitation behavior recognition data , and retaining the global optimal position of the rehabilitation taboo item with the maximum fitness value of the rehabilitation taboo item and the laparoscopic postoperative patient rehabilitation behavior recognition data in the search space of the text data of the required rehabilitation taboo items of the laparoscopic postoperative patient ;

[0097] S624, migration, global search: the migration behavior of the rehabilitation behavior recognition seabird mainly has three steps, the first is to satisfy the collision avoidance condition between different rehabilitation behavior recognition seabird individuals in the search space of the text data of the required rehabilitation taboo items of the laparoscopic postoperative patient ; the second is to calculate the best position direction of the rehabilitation taboo item matched with the laparoscopic postoperative patient rehabilitation behavior recognition data in the search space of the text data of the required rehabilitation taboo items of the laparoscopic postoperative patient ; the third is to determine the best position direction of the rehabilitation taboo item matched with the laparoscopic postoperative patient rehabilitation behavior recognition data the direction of the best location of the best matching rehabilitation contraindication item moves to a new location;

[0098] S6241, calculate the search space of the rehabilitation behavior identification seagull required rehabilitation contraindication item text data of the laparoscopic postoperative patient in the movement process without collision with adjacent rehabilitation behavior identification seagulls ; , ; wherein indicates the current location of the search space of the rehabilitation behavior identification seagull required rehabilitation contraindication item text data of the laparoscopic postoperative patient , indicates the current iteration number; indicates the search space of the rehabilitation behavior identification seagull required rehabilitation contraindication item text data of the laparoscopic postoperative patient movement behavior; indicates a function of controlling change frequency, indicates the maximum iteration number;

[0099] S6242, calculate the search space of the rehabilitation behavior identification seagull required rehabilitation contraindication item text data of the laparoscopic postoperative patient with the laparoscopic postoperative patient rehabilitation behavior identification data the best location of the best matching rehabilitation contraindication item ; , wherein indicates the search space of the rehabilitation behavior identification seagull required rehabilitation contraindication item text data of the laparoscopic postoperative patient with the laparoscopic postoperative patient rehabilitation behavior identification data the current best location of the best matching rehabilitation contraindication item; indicates a random number balancing global and local search capabilities, indicates a random number taking values in the interval [0, 1];

[0100] S6243, according to the search space of the rehabilitation behavior identification seagull required rehabilitation contraindication item text data of the laparoscopic postoperative patient with the laparoscopic postoperative patient rehabilitation behavior identification data the direction of the best location of the best matching rehabilitation contraindication item moves to a new location , , according to the direction of the best location, search the search space of the rehabilitation behavior identification seagull required rehabilitation contraindication item text data of the laparoscopic postoperative patient with the laparoscopic postoperative patient rehabilitation behavior identification data the new location of the best matching rehabilitation contraindication item;

[0101] S625, attack the prey, local search, and identify the rehabilitation behavior of the gull in the text data of the postoperative rehabilitation taboo items required by the patient in the search space of the postoperative rehabilitation behavior identification data of the patient The prey matched with the postoperative rehabilitation taboo items of the gull spirals in the air, and the new position of the gull after attacking the prey , The text data of the postoperative rehabilitation taboo items required by the patient The postoperative rehabilitation behavior identification data of the patient The prey matched with the postoperative rehabilitation taboo items in the search space of the postoperative rehabilitation behavior identification data of the patient

[0102] S626, determine whether the maximum number of iterations is met, and output the postoperative rehabilitation behavior identification data of the patient matched with the postoperative rehabilitation taboo items; if not, return to step S623;

[0103] S627, according to the postoperative rehabilitation behavior identification data of the patient The postoperative rehabilitation behavior judgment data of the patient is generated according to the matching result of the postoperative rehabilitation taboo items and the postoperative rehabilitation behavior identification data of the patient ;

[0104] When and match the rehabilitation behavior type keywords successfully, it indicates that the postoperative rehabilitation process of the patient after laparoscopic surgery exists rehabilitation taboo behavior, and the postoperative rehabilitation taboo behavior judgment data of the patient is output is rehabilitation taboo behavior;

[0105] When and do not match the rehabilitation behavior type keywords successfully, it indicates that the postoperative rehabilitation process of the patient after laparoscopic surgery does not exist rehabilitation taboo behavior, and the postoperative rehabilitation taboo behavior judgment data of the patient is output is normal rehabilitation behavior; at this time, steps S4, S5 and S6 are repeatedly executed until the postoperative rehabilitation work of the patient on the day of laparoscopic surgery is completed.

[0106] Through the patient's postoperative rehabilitation behavior image acquisition unit, cloud cameras are used to accurately collect patient's postoperative rehabilitation process behavior image information online, providing reliable data support for scientific supervision of laparoscopic postoperative patient rehabilitation behavior; the laparoscopic postoperative patient different types of rehabilitation behavior image storage unit and the patient's postoperative rehabilitation behavior recognition unit cooperate with each other, based on the patient's postoperative rehabilitation process real-time behavior image information combined with intelligent image search algorithm and scientific preset laparoscopic postoperative patient different types of rehabilitation behavior image information, to perform intelligent recognition of rehabilitation behavior of laparoscopic surgery patients in the postoperative rehabilitation process, and realize dynamic and accurate supervision of rehabilitation behavior of laparoscopic postoperative patients; the patient's postoperative rehabilitation contraindication behavior judgment unit, based on the rehabilitation contraindication item information required by laparoscopic postoperative patients, the rehabilitation behavior recognition information of laparoscopic postoperative patients combined with artificial intelligence recognition algorithm, performs intelligent judgment of rehabilitation contraindication behavior of laparoscopic surgery patients in the postoperative rehabilitation process, realizes intelligent supervision of rehabilitation contraindication behavior of laparoscopic postoperative patients, and improves the quality of rehabilitation guidance for laparoscopic postoperative patients.

[0107] For further information, see Figs. 1-2 When it is a rehabilitation contraindication behavior, the monitoring data of rehabilitation contraindication behaviors of patients after laparoscopic surgery is constructed and the task of pushing rehabilitation contraindication behaviors of patients after laparoscopic surgery is performed. After the pushing task is completed, S4, S5, and S6 are repeatedly executed until the postoperative rehabilitation task of the laparoscopic surgery patient on that day is completed. The operation steps are as follows:

[0108] S71. Data on the judgment of contraindications for postoperative rehabilitation of patients after laparoscopic surgery When it is a taboo behavior for rehabilitation, the patient's postoperative rehabilitation process behavior image data , Rehabilitation behavior recognition data of patients after laparoscopic surgery Constructing the monitoring data of taboo behaviors in patients undergoing laparoscopic surgery through data combination identification ,in ;

[0109] S72. The hospital management platform monitors the data on contraindications for postoperative rehabilitation of patients after laparoscopic surgery. The information feedback display screen transmitted to the hospital ward where the laparoscopic surgery patient is located is used to push the contraindications for rehabilitation of the laparoscopic surgery patient through the Internet of Things communication network. After the push operation is completed, S4, S5, and S6 are repeatedly executed until the postoperative rehabilitation operation of the laparoscopic surgery patient is completed on that day.

[0110] The post-laparoscopy patient rehabilitation taboo behavior collection unit is based on postoperative rehabilitation process behavior image information and post-laparoscopy patient rehabilitation behavior recognition information, and timely and efficient data processing is performed to construct post-laparoscopy patient rehabilitation taboo behavior monitoring information, so as to realize dynamic and efficient collection of post-laparoscopy patient rehabilitation guidance results. The post-laparoscopy patient rehabilitation taboo behavior display unit is based on post-laparoscopy patient rehabilitation taboo behavior monitoring information, and a hospital management platform and an information feedback display screen are combined to efficiently and visually perform post-laparoscopy patient rehabilitation taboo behavior pushing work, so as to realize dynamic and intuitive feedback of post-laparoscopy patient rehabilitation taboo behavior and improve the applicability and execution effect of post-laparoscopy patient rehabilitation guidance.

[0111] Embodiment 2:

[0112] Please refer to Figs. 1-2 The system comprises a post-laparoscopy rehabilitation taboo item formulation module, a post-laparoscopy rehabilitation taboo behavior monitoring module, and a post-laparoscopy rehabilitation taboo behavior feedback module.

[0113] The post-laparoscopy rehabilitation taboo item formulation module comprises a postoperative time information acquisition unit of a patient, a patient disease characteristic information acquisition unit, a post-laparoscopy patient rehabilitation taboo item information storage unit, a post-laparoscopy patient rehabilitation taboo item correlation measurement unit, and a post-laparoscopy patient daily rehabilitation taboo item analysis unit.

[0114] The postoperative time information acquisition unit of a patient acquires postoperative time text data through a hospital management platform. The patient disease characteristic information acquisition unit acquires patient disease characteristic text data through the hospital management platform. The post-laparoscopy patient rehabilitation taboo item information storage unit is used to store post-laparoscopy patient rehabilitation taboo item text data. The post-laparoscopy patient rehabilitation taboo item correlation measurement unit performs correlation value statistical processing of a laparoscopy surgery patient and a laparoscopy surgery rehabilitation taboo item based on the postoperative time text data of a patient, the patient disease characteristic text data, and the post-laparoscopy patient rehabilitation taboo item text data, to generate post-laparoscopy patient rehabilitation taboo item correlation statistical data. The post-laparoscopy patient daily rehabilitation taboo item analysis unit performs postoperative rehabilitation taboo item information analysis processing of a laparoscopy surgery patient based on the post-laparoscopy patient rehabilitation taboo item correlation statistical data and the post-laparoscopy patient rehabilitation taboo item text data, to generate post-laparoscopy patient required rehabilitation taboo item text data.

[0115] The laparoscopic postoperative rehabilitation taboo behavior monitoring module comprises a patient postoperative rehabilitation behavior image acquisition unit, a laparoscopic postoperative patient different type rehabilitation behavior image storage unit, a patient postoperative rehabilitation behavior recognition unit and a patient postoperative rehabilitation taboo behavior judgment unit.

[0116] The patient postoperative rehabilitation behavior image acquisition unit acquires patient postoperative rehabilitation process behavior image data online through a cloud lens; the laparoscopic postoperative patient different type rehabilitation behavior image storage unit is used for storing laparoscopic postoperative patient different type rehabilitation behavior image data; the patient postoperative rehabilitation behavior recognition unit performs rehabilitation behavior recognition processing of a laparoscopic surgery patient in a postoperative rehabilitation process based on patient postoperative rehabilitation process real-time behavior image data and laparoscopic postoperative patient different type rehabilitation behavior image data, and generates laparoscopic postoperative patient rehabilitation behavior recognition data; and the patient postoperative rehabilitation taboo behavior judgment unit performs rehabilitation taboo behavior judgment processing of a laparoscopic surgery patient in a postoperative rehabilitation process according to laparoscopic postoperative patient required rehabilitation taboo item text data and laparoscopic postoperative patient rehabilitation behavior recognition data, and generates laparoscopic postoperative patient rehabilitation taboo behavior judgment data.

[0117] The laparoscopic postoperative rehabilitation taboo behavior feedback module comprises a laparoscopic postoperative patient rehabilitation taboo behavior collection unit and a laparoscopic postoperative patient rehabilitation taboo behavior display unit.

[0118] The laparoscopic postoperative patient rehabilitation taboo behavior collection unit constructs laparoscopic postoperative patient rehabilitation taboo behavior monitoring data based on patient postoperative rehabilitation process behavior image information and laparoscopic postoperative patient rehabilitation behavior recognition information; and the laparoscopic postoperative patient rehabilitation taboo behavior display unit performs laparoscopic postoperative patient rehabilitation taboo behavior pushing work according to laparoscopic postoperative patient rehabilitation taboo behavior monitoring data in combination with a hospital management platform and an information feedback display screen.

[0119] Although the embodiments of the present application have been shown and described, it is to be understood that various changes, modifications, substitutions and alterations can be made to the embodiments without departing from the principles and spirit of the present application, and the scope of the present application is defined by the appended claims and their equivalents.

Claims

1. A laparoscopic postoperative rehabilitation guidance method based on artificial intelligence, characterized in that: The method comprises the following steps: S1. Collect the patient's postoperative daily time text data and patient disease characteristic text data ; S2. Performing numerical statistical processing on the correlation between laparoscopic surgery patients and laparoscopic surgery rehabilitation contraindication items to generate statistical data on the correlation between laparoscopic surgery patients' rehabilitation contraindication items; S3. Analyze and process information on postoperative rehabilitation contraindications required for laparoscopic surgery patients, and generate text data on postoperative rehabilitation contraindications required for laparoscopic surgery patients; S4. Collect behavioral image data of patients during postoperative rehabilitation ; S5. Recognize and process the rehabilitation behavior of patients undergoing laparoscopic surgery during their postoperative rehabilitation process to generate rehabilitation behavior recognition data for patients undergoing laparoscopic surgery. S6. Perform a judgment process on the contraindication behavior of the laparoscopic surgery patient during the postoperative rehabilitation process, and generate judgment data on the contraindication behavior of the laparoscopic surgery patient; if the behavior is normal for rehabilitation, repeat S4, S5, and S6 until the postoperative rehabilitation work of the laparoscopic surgery patient is completed on that day; S7. When it is a contraindication to rehabilitation, construct monitoring data of contraindication to rehabilitation for patients after laparoscopic surgery and execute a push operation for contraindication to rehabilitation for patients after laparoscopic surgery. After the push operation is completed, repeat S4, S5, and S6 until the postoperative rehabilitation operation for the laparoscopic surgery patient is completed on that day; The S2 comprises the following steps: S21. Establish a text data set of contraindications for rehabilitation of patients after laparoscopic surgery , ;in Indicates the The text data of contraindications for rehabilitation of patients after laparoscopic surgery corresponding to the combination of characteristics of patients after laparoscopic surgery, It represents the maximum number of combined types of patient characteristics after laparoscopic surgery; S22, using a unified cost search algorithm to 、 According to the postoperative characteristics of laparoscopic patients, the combination type is numbered in order and described As stated in Perform postoperative day and time keyword matching and search for the patient's symptoms. 、 With the The total number of keywords that successfully match the patient's postoperative day and time keywords and the patient's disease feature keywords, and generate a set of the total number of associated characters for laparoscopic postoperative patient rehabilitation contraindications ,in Indicates the With the 、 The total number of characters associated with the postoperative contraindications for laparoscopic patients after surgery were matched with keywords of the patient's postoperative day and time and keywords of the patient's symptom characteristics; The unit of is piece; S23, using the Boyer-Moore search algorithm to search for the following patient characteristics according to the type number after laparoscopic surgery Internal The total number of postoperative day and time keywords and patient symptom characteristic keywords in the laparoscopic postoperative patient rehabilitation contraindications item is generated to generate a set of patient characteristic characters. ,in Indicates the The total number of patient characteristic characters in the corresponding laparoscopic postoperative patient rehabilitation contraindications items, The unit of is piece; S24, the As stated in With the According to the combination type number of postoperative laparoscopic patients' characteristic features, the character quantity values ​​are processed in order to calculate the statistical data set of the correlation degree of the rehabilitation contraindications of postoperative laparoscopic patients. ,in Indicates the 、 With the Corresponding statistical data on the correlation between postoperative laparoscopic rehabilitation contraindications, including ; The S3 includes the following steps: S31, obtain the and stated ; S32, using iterative deepening search algorithm in the Search for the one with the largest correlation value , and according to the largest correlation value The corresponding laparoscopic postoperative patient feature combination type number information is described in the Search for the one with the largest correlation value Matching the , and generate text data of rehabilitation contraindications required by patients after laparoscopic surgery through data identification ; The S5 comprises the following steps: S51. Establish image data sets of different types of rehabilitation behaviors of patients after laparoscopic surgery , ;in Indicates the image data of different types of rehabilitation behaviors of patients after laparoscopic surgery corresponding to different types of rehabilitation behaviors, Indicates the maximum number of rehabilitation behavior types; S52, using FLANN image feature search algorithm to With the As stated in Perform image feature matching and search for the Matching the Corresponding rehabilitation behavior type text information, and constructing the rehabilitation behavior identification data of the laparoscopic postoperative patient ; The S6 comprises the following steps: S61, obtain the and stated ; S62, the With the Perform keyword matching of rehabilitation behavior types, and generate judgment data on rehabilitation contraindications for patients after laparoscopic surgery based on the results of keyword matching of rehabilitation behavior types ; Execute and generate the judgment data of the contraindication behavior of the patient after laparoscopic surgery The specific steps are as follows: S621, initializing parameters and updating the maximum number of iterations T of the algorithm; S622, initializing the rehabilitation behavior identification of the seagull population in the The position in the search space of S623, calculate the All rehabilitation contraindications are as described in The fitness value of The search space of rehabilitation taboo items and the The global optimal position of the rehabilitation taboo item with the largest fitness value; S624, Migration, Global Search: Rehabilitation behavior recognition of seagull migration behavior has three main steps, the first is to meet the The search space of different rehabilitation behaviors identifies the conditions for avoiding collisions between individual seagulls; the second calculation is based on the The search space of The best position direction of the rehabilitation contraindication items matched; the third is based on the The direction of the best location of the best matching rehabilitation contraindication item is moved to the new location; S6241, Computational rehabilitation behavior recognition of seagulls in the The new position of the seagull in the search space during movement without collision with adjacent recovery behaviors; S6242, calculated in the The search space of The best location for the most matched rehabilitation contraindication items; S6243, according to the The search space of The direction of the best location of the best matching rehabilitation contraindication item is moved to the new location; S625, attack prey, local search, recovery behavior identification seagulls in the The attack in the search space is the same as the Matched rehabilitation taboo items are spiral movements in the air when prey is caught, and rehabilitation behaviors identify the gull's new position after attacking its prey; S626, determine whether the maximum number of iterations is met, and then output the Matching rehabilitation contraindication items; if not satisfied, return to step S623; S627, according to step S626 Match the results with the rehabilitation contraindication items to generate the judgment data of rehabilitation contraindication behaviors for patients after laparoscopic surgery ; when and If the rehabilitation behavior type keyword matches successfully, the output is For rehabilitation taboo behavior; when and If no keywords for rehabilitation behavior type are matched successfully, the output is To recover normal behavior, repeat S4, S5, and S6 until the postoperative rehabilitation work of the laparoscopic surgery patient is completed on that day.

2. The artificial intelligence-based laparoscopic postoperative rehabilitation guidance method according to claim 1, characterized in that: Said S1 comprises the following steps: S11. Collect the time characteristic information of the target laparoscopic surgery patients on the postoperative day through the hospital management platform online, and generate the patient's postoperative day time text data ; Collect text information about the disease characteristics of target laparoscopic surgery patients online through the hospital management platform and generate text data on the patient's disease characteristics .

3. The artificial intelligence-based laparoscopic postoperative rehabilitation guidance method according to claim 1, characterized in that: The S4 comprises the following steps: S41, collect the target laparoscopic surgery patients online through the hospital ward cloud camera according to the Conduct specific behavioral characteristic images of the postoperative rehabilitation process after laparoscopy and generate behavioral image data of the patient's postoperative rehabilitation process .

4. The artificial intelligence-based laparoscopic postoperative rehabilitation guidance method according to claim 1, characterized in that: The S7 comprises the following steps: S71, when the To recover from taboo behavior, 、 Constructing the monitoring data of taboo behaviors in patients undergoing laparoscopic surgery through data combination identification ; S72, the hospital management platform will The information feedback display screen transmitted to the hospital ward where the laparoscopic surgery patient is located is used to push the contraindications for rehabilitation of the laparoscopic surgery patient through the Internet of Things communication network. After the push operation is completed, S4, S5, and S6 are repeatedly executed until the postoperative rehabilitation operation of the laparoscopic surgery patient is completed on that day.

5. An artificial intelligence-based laparoscopic postoperative rehabilitation guidance system, used to implement the artificial intelligence-based laparoscopic postoperative rehabilitation guidance method according to any one of claims 1 to 4, characterized in that: The system includes a laparoscopic postoperative rehabilitation contraindication item formulation module, a laparoscopic postoperative rehabilitation contraindication behavior monitoring module, and a laparoscopic postoperative rehabilitation contraindication behavior feedback module.

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