Laparoscopic postoperative rehabilitation guidance system and method based on artificial intelligence

Abstract

The invention relates to the technical field of postoperative rehabilitation management, and discloses a laparoscopic postoperative rehabilitation guidance system and method based on artificial intelligence, and the system comprises a laparoscopic postoperative rehabilitation taboo item making module, a laparoscopic postoperative rehabilitation taboo behavior monitoring module, and a laparoscopic postoperative rehabilitation taboo behavior feedback module. According to the relevancy statistical information of the rehabilitation taboo items of the patients after the laparoscopic surgery and the rehabilitation taboo item information of the patients after the laparoscopic surgery, customized selection of the postoperative rehabilitation taboo item information of the patients after the laparoscopic surgery is carried out; according to the rehabilitation taboo item information required by the patient after the laparoscope operation and the rehabilitation behavior identification information of the patient after the laparoscope operation, the rehabilitation taboo behavior of the patient after the laparoscope operation in the postoperative rehabilitation process is intelligently judged by combining an artificial intelligence identification algorithm, and the rehabilitation taboo behavior of the patient after the laparoscope operation is intelligently supervised.

Description

Technical Field

[0001] The present invention relates to the technical field of postoperative rehabilitation management, and specifically to a laparoscopic postoperative rehabilitation guidance system and method based on artificial intelligence. Background Art

[0002] Laparoscopic surgery is a newly developed minimally invasive method. The traditional method of laparoscopic surgery is to make three 1-cm small incisions in the patient's waist, and insert a tubular working channel called "trocar" into each incision. All subsequent operations are carried out through these three channels; then, special lengthened surgical instruments are used to complete the same steps as open surgery under television monitoring to achieve the same surgical effect. The advantages of two-port retroperitoneal laparoscopic surgery are very obvious. First, the trauma is very small, only 2 small incisions are needed, and the scars are very small. Second, the surgery enters directly, minimizing the damage to surrounding tissues and reducing the chance of postoperative adhesions. Third, the patient's postoperative wound pain is significantly reduced. Fourth, the length of hospital stay is shorter. Some patients can be discharged in only 2-3 days and fully recover and return to work in 7 days; two-port retroperitoneal laparoscopy and laparoscopic urological surgery can be used in the following urological treatments, such as nephrectomy for renal cysts, orchiopexy for cryptorchidism, high ligation of the spermatic vein, etc. Patients undergoing laparoscopic surgery need to follow medical advice to ensure the safe and rapid healing of the surgical site; however, during the existing laparoscopic postoperative rehabilitation process, information on the contraindicated items for laparoscopic postoperative rehabilitation cannot be scientifically formulated for patients, and it cannot be guaranteed that patients cannot scientifically and accurately execute the contraindicated items for laparoscopic postoperative rehabilitation, reducing the effect of the patient's postoperative recovery after laparoscopy.

[0003] The Chinese patent application for invention with the publication number CN119230049A and the publication date of December 31, 2024 discloses a patient postoperative rehabilitation guidance system based on neuroelectrophysiological monitoring, which collects the patient's neuroelectrophysiological parameters through monitoring, and provides a strategic guideline for a rational rehabilitation guidance model for the monitored real-time data; however, the above technical solutions cannot dynamically supervise the patient's postoperative rehabilitation behavior. Summary of the Invention

[0004] (I) Technical Problems to be Solved To solve the problem that during the existing laparoscopic postoperative rehabilitation process, information on the contraindicated items for laparoscopic postoperative rehabilitation cannot be scientifically formulated for patients, and it cannot be guaranteed that patients cannot scientifically and accurately execute the contraindicated items for laparoscopic postoperative rehabilitation, reducing the effect of the patient's postoperative recovery after laparoscopy, and achieve the purposes of scientifically formulating information on the daily rehabilitation contraindicated items for postoperative laparoscopic patients, dynamically monitoring the patient's postoperative rehabilitation behavior, intelligently identifying the patient's postoperative rehabilitation contraindicated behavior, and visually reminding the patient of the postoperative rehabilitation contraindicated behavior.

[0005] (II) Technical Solutions The present invention is realized through the following technical solutions: A method for postoperative rehabilitation guidance based on artificial intelligence, the method comprising the following steps: S1. Collect the postoperative day time text data of the patient and the text data of the patient's disease characteristics; S2. Perform statistical processing on the correlation degree values between the laparoscopic surgery patients and the rehabilitation taboo items for laparoscopic surgery based on the postoperative day time text data of the patient, the text data of the patient's disease characteristics, and the text data of the rehabilitation taboo items for postoperative laparoscopic surgery patients, and generate statistical data on the correlation degree of the rehabilitation taboo items for postoperative laparoscopic surgery patients; S3. Analyze and process the information on the postoperative rehabilitation taboo items required by the laparoscopic surgery patients based on the statistical data on the correlation degree of the rehabilitation taboo items for postoperative laparoscopic surgery patients and the text data of the rehabilitation taboo items for postoperative laparoscopic surgery patients, and generate text data on the rehabilitation taboo items required by the postoperative laparoscopic surgery patients; S4. Collect the behavioral image data of the patient during the postoperative rehabilitation process; S5. Perform recognition processing on the rehabilitation behaviors of the laparoscopic surgery patients during the postoperative rehabilitation process based on the real-time behavioral image data of the patient during the postoperative rehabilitation process and the image data of different types of rehabilitation behaviors of the postoperative laparoscopic surgery patients, and generate recognition data on the rehabilitation behaviors of the postoperative laparoscopic surgery patients; S6. Perform judgment processing on the rehabilitation taboo behaviors of the laparoscopic surgery patients during the postoperative rehabilitation process based on the text data of the rehabilitation taboo items required by the postoperative laparoscopic surgery patients and the recognition data on the rehabilitation behaviors of the postoperative laparoscopic surgery patients, and generate judgment data on the rehabilitation taboo behaviors of the postoperative laparoscopic surgery patients; When it is a normal rehabilitation behavior, repeat S4, S5, and S6 until the postoperative rehabilitation work of the laparoscopic surgery patient on the same day is completed; S7. When it is a rehabilitation taboo behavior, construct monitoring data on the rehabilitation taboo behaviors of the postoperative laparoscopic surgery patients and perform a push operation on the rehabilitation taboo behaviors of the postoperative laparoscopic surgery patients. After the push operation is completed, repeat S4, S5, and S6 until the postoperative rehabilitation work of the laparoscopic surgery patient on the same day is completed.

[0006] Preferably, the operation steps for collecting the postoperative day time text data of the patient and the text data of the patient's disease characteristics are as follows: S11. Online collect the time characteristic information of the number of days after the operation of the target laparoscopic surgery patient through the hospital management platform, and generate the postoperative day time text data of the patient ; Online collect the text information on the disease characteristics of the target laparoscopic surgery patient through the hospital management platform, and generate the text data of the patient's disease characteristics , and the text data of the patient's disease characteristics includes the disease type information, disease symptom characteristic information, and disease time information of the laparoscopic surgery patient.

[0007] Preferably, according to the postoperative day time text data of the patient, the patient's disease characteristic text data, and the laparoscopic postoperative patient rehabilitation taboo item text data, the operation steps for statistically processing the correlation degree value between the laparoscopic surgery patient and the laparoscopic surgery rehabilitation taboo item, and generating the laparoscopic postoperative patient rehabilitation taboo item correlation degree statistical data are as follows: S21. Establish a text data set of laparoscopic postoperative patient rehabilitation taboo items , wherein represents the laparoscopic postoperative patient rehabilitation taboo item text data corresponding to the th type of laparoscopic postoperative patient characteristic combination type, represents the maximum value of the number of laparoscopic postoperative patient characteristic combination types; the laparoscopic postoperative patient characteristic combination type represents an index data type formed by combining patient postoperative day time information and patient disease characteristic information for searching laparoscopic postoperative patient rehabilitation taboo item information; the laparoscopic postoperative patient rehabilitation taboo item text data represents the optimal laparoscopic postoperative patient rehabilitation taboo item information set for different laparoscopic postoperative patient characteristic combination types; the laparoscopic postoperative patient rehabilitation taboo items include running behavior, jumping behavior, weightlifting behavior, eating spicy food behavior, eating greasy food behavior, drinking behavior, smoking behavior, and rubbing the wound behavior; S22. Use the uniform cost search algorithm to match the postoperative day time text data of the patient , the patient's disease characteristic text data with the laparoscopic postoperative patient rehabilitation taboo item text data in the laparoscopic postoperative patient rehabilitation taboo item text data set in an orderly manner according to the laparoscopic postoperative patient characteristic combination type number, search for the total number of keywords successfully matched by the postoperative day time keywords and patient disease characteristic keywords in the postoperative day time text data of the patient , the patient's disease characteristic text data , and the laparoscopic postoperative patient rehabilitation taboo item text data , and generate a set of total numbers of laparoscopic postoperative patient rehabilitation taboo item associated characters , wherein represents the total number of laparoscopic postoperative patient rehabilitation taboo item associated characters corresponding to the matching of the laparoscopic postoperative patient rehabilitation taboo item text data with the postoperative day time text data of the patient , the patient's disease characteristic text data ; The unit of is individual; S23. Use the Boyer-Moore search algorithm to orderly search out the text data set of the rehabilitation taboo items for laparoscopic postoperative patients according to the serial numbers of the characteristic combination types of laparoscopic postoperative patients. The text data of the rehabilitation taboo items for laparoscopic postoperative patients inside The total number of keywords of the postoperative day time and the disease characteristic keywords of the patients in the text data of the rehabilitation taboo items for laparoscopic postoperative patients is used to generate the set of the total number of characteristic characters of the patients in the rehabilitation taboo items for laparoscopic postoperative patients. , where represents the text data of the rehabilitation taboo items for laparoscopic postoperative patients The corresponding total number of characteristic characters of the patients in the rehabilitation taboo items for laparoscopic postoperative patients, and the unit is piece. S24. The total number of associated characters of the rehabilitation taboo items for laparoscopic postoperative patients in the set of the total number of associated characters of the rehabilitation taboo items for laparoscopic postoperative patients The total number of associated characters of the rehabilitation taboo items for laparoscopic postoperative patients in is divided by the total number of characteristic characters of the patients in the rehabilitation taboo items for laparoscopic postoperative patients in an orderly manner according to the serial numbers of the characteristic combination types of laparoscopic postoperative patients to measure the set of statistical data of the association degree of the rehabilitation taboo items for laparoscopic postoperative patients , where represents the text data of the postoperative day time of the patients , the text data of the disease characteristic of the patients and the text data of the rehabilitation taboo items for laparoscopic postoperative patients The corresponding statistical data of the association degree of the rehabilitation taboo items for laparoscopic postoperative patients, where , The larger the value of, the greater the degree of association between the text data of the postoperative day time of the patients , the text data of the disease characteristic of the patients and the text data of the rehabilitation taboo items for laparoscopic postoperative patients ; The smaller the value of, the smaller the degree of association between the text data of the postoperative day time of the patients , the text data of the disease characteristic of the patients and the text data of the rehabilitation taboo items for laparoscopic postoperative patients .

[0008] Preferably, according to the statistical data of the association degree of the rehabilitation taboo items for laparoscopic postoperative patients and the text data of the rehabilitation taboo items for laparoscopic postoperative patients, the operation steps for analyzing and processing the information of the rehabilitation taboo items required by laparoscopic surgery patients to generate the text data of the rehabilitation taboo items required by laparoscopic postoperative patients are as follows: S31. Obtain the text data set of the rehabilitation contraindication items for the patients after laparoscopic surgery and the statistical data set of the correlation degrees of the rehabilitation contraindication items for the patients after laparoscopic surgery ; S32. Use the iterative deepening search algorithm to search in the statistical data set of the correlation degrees of the rehabilitation contraindication items for the patients after laparoscopic surgery for the statistical data of the correlation degree of the rehabilitation contraindication item for the patient after laparoscopic surgery with the largest correlation degree value , and based on the laparoscopic postoperative patient characteristic combination type number information corresponding to the statistical data of the correlation degree of the rehabilitation contraindication item for the patient after laparoscopic surgery with the largest correlation degree value , search in the text data set of the rehabilitation contraindication items for the patients after laparoscopic surgery for the text data of the rehabilitation contraindication item for the patient after laparoscopic surgery that matches the statistical data of the correlation degree of the rehabilitation contraindication item for the patient after laparoscopic surgery with the largest correlation degree value , and generate the text data of the rehabilitation contraindication items required by the patients after laparoscopic surgery through data identification . .

[0009] Preferably, the operation steps for collecting the behavior image data of the patients during the postoperative rehabilitation process are as follows: S41. Online collect, through the hospital ward cloud camera, the specific behavior characteristic images of the target laparoscopic surgery patient during the rehabilitation operation after laparoscopic surgery according to the text data of the rehabilitation contraindication items required by the patient after laparoscopic surgery , and generate the behavior image data of the patient during the postoperative rehabilitation process .

[0010] Preferably, the operation steps for performing the rehabilitation behavior recognition process of the laparoscopic surgery patient during the postoperative rehabilitation process based on the real-time behavior image data of the patient during the postoperative rehabilitation process and the different types of rehabilitation behavior image data of the patients after laparoscopic surgery, and generating the rehabilitation behavior recognition data of the patients after laparoscopic surgery are as follows: S51. Establish a data set of different types of rehabilitation behavior image data of the patients after laparoscopic surgery , ; where represents the different types of rehabilitation behavior image data of the patients after laparoscopic surgery corresponding to the th type of rehabilitation behavior type Represents the maximum value of the number of types of rehabilitation behaviors; the image data of different types of rehabilitation behaviors of the postoperative laparoscopic patients represents the standard image information set for different types of rehabilitation behaviors of laparoscopic surgery patients during the postoperative rehabilitation process. The types of rehabilitation behaviors include the behavior of washing the wound with warm water, the behavior of disinfecting the wound, the behavior of running, the behavior of jumping, the behavior of weightlifting, the behavior of walking, the behavior of eating spicy food, the behavior of eating greasy food, the behavior of drinking alcohol, the behavior of smoking, and the behavior of rubbing the wound; S52. Use the FLANN image feature search algorithm to process the image data of the behavior of the patient during the postoperative rehabilitation process and the set of image data of different types of rehabilitation behaviors of the postoperative laparoscopic patients in the image data of different types of rehabilitation behaviors of the postoperative laparoscopic patients for image feature matching, and search for the image data of different types of rehabilitation behaviors of the postoperative laparoscopic patients that matches the image data of the behavior of the patient during the postoperative rehabilitation process corresponding to the text information of the type of rehabilitation behavior, and construct the recognition data of the rehabilitation behavior of the postoperative laparoscopic patients .

[0011] Preferably, based on the text data of the rehabilitation taboo items required by the postoperative laparoscopic patients and the recognition data of the rehabilitation behavior of the postoperative laparoscopic patients, perform judgment and processing on the rehabilitation taboo behaviors of laparoscopic surgery patients during the postoperative rehabilitation process to generate the judgment data of the rehabilitation taboo behaviors of the postoperative laparoscopic patients; when it is a normal rehabilitation behavior, repeat steps S4, S5, and S6 until the operation steps for the end of the postoperative rehabilitation work of the laparoscopic surgery patient on the same day are as follows: S61. Obtain the text data of the rehabilitation taboo items required by the postoperative laparoscopic patients and the recognition data of the rehabilitation behavior of the postoperative laparoscopic patients ; S62. Perform keyword matching of the type of rehabilitation behavior between the recognition data of the rehabilitation behavior of the postoperative laparoscopic patients and the text data of the rehabilitation taboo items required by the postoperative laparoscopic patients to generate the judgment data of the rehabilitation taboo behaviors of the postoperative laparoscopic patients ; The specific operation steps for generating the judgment data of the rehabilitation taboo behaviors of the postoperative laparoscopic patients are as follows: S621. Initialize the parameters and update the maximum number of iterations T of the algorithm; S622. Initialize the position of the seagull population for recognizing rehabilitation behaviors in the search space of the text data of the rehabilitation taboo items required by the postoperative laparoscopic patients ; S623. Calculate the text data of the rehabilitation taboo items required for the patient after laparoscopic surgery All the rehabilitation taboo items in and the fitness values of the rehabilitation behavior recognition data of the patient after laparoscopic surgery, and retain the global optimal position of the rehabilitation taboo item with the maximum fitness value between the rehabilitation taboo items in the search space of the text data of the rehabilitation taboo items required for the patient after laparoscopic surgery and the rehabilitation behavior recognition data of the patient after laparoscopic surgery ; S624. Migration, global search: The migration behavior of the seagulls for rehabilitation behavior recognition mainly has three steps. First, meet the condition that there is no collision between different seagull individuals for rehabilitation behavior recognition in the search space of the text data of the rehabilitation taboo items required for the patient after laparoscopic surgery . Second, calculate the best position direction of the rehabilitation taboo item that matches the rehabilitation behavior recognition data of the patient after laparoscopic surgery in the search space of the text data of the rehabilitation taboo items required for the patient after laparoscopic surgery . Third, move to a new position according to the direction of the best position where the rehabilitation taboo item that best matches the rehabilitation behavior recognition data of the patient after laparoscopic surgery is located ; ; S6241. Calculate the new position where the seagulls for rehabilitation behavior recognition do not collide with adjacent seagulls for rehabilitation behavior recognition during the movement in the search space of the text data of the rehabilitation taboo items required for the patient after laparoscopic surgery ; ; , ; where represents the current position of the seagulls for rehabilitation behavior recognition in the search space of the text data of the rehabilitation taboo items required for the patient after laparoscopic surgery , represents the current iteration number; represents the movement behavior of the seagulls for rehabilitation behavior recognition in the search space of the text data of the rehabilitation taboo items required for the patient after laparoscopic surgery ; represents a function that controls the change frequency, represents the maximum iteration number; S6242. Calculate the best position of the rehabilitation taboo item that best matches the rehabilitation behavior recognition data of the patient after laparoscopic surgery in the search space of the text data of the rehabilitation taboo items required for the patient after laparoscopic surgery ; ; ; , , where Indicating the text data of the rehabilitation taboo items required by the patient after laparoscopic surgery Searching in the search space for the rehabilitation behavior recognition data of the patient after laparoscopic surgery The current best position of the rehabilitation taboo item with the best match Indicating a random number that balances the global and local search capabilities Indicating a random number within the range of [0, 1] S6243. According to the text data of the rehabilitation taboo items required by the patient after laparoscopic surgery In the search space, move to a new position in the direction of the best position of the rehabilitation taboo item that best matches the rehabilitation behavior recognition data of the patient after laparoscopic surgery , , Search in the search space of the text data of the rehabilitation taboo items required by the patient after laparoscopic surgery according to the direction of the best position For the new position of the rehabilitation taboo item that most matches the rehabilitation behavior recognition data of the patient after laparoscopic surgery S625. Attack the prey, local search. The rehabilitation behavior recognition seagull makes a spiral movement in the air when attacking the prey of the rehabilitation taboo item that matches the rehabilitation behavior recognition data of the patient after laparoscopic surgery in the search space of the text data of the rehabilitation taboo items required by the patient after laparoscopic surgery In the search space, attack the prey of the rehabilitation taboo item that matches the rehabilitation behavior recognition data of the patient after laparoscopic surgery The new position of the rehabilitation behavior recognition seagull after attacking the prey , , The rehabilitation behavior recognition seagull searches in the search space of the text data of the rehabilitation taboo items required by the patient after laparoscopic surgery For the prey of the rehabilitation taboo item that matches the rehabilitation behavior recognition data of the patient after laparoscopic surgery S626. Determine whether the maximum number of iterations is satisfied. If so, output the rehabilitation taboo item that matches the rehabilitation behavior recognition data of the patient after laparoscopic surgery; if not, return to step S623 S627. Generate the judgment data of the rehabilitation taboo behavior of the patient after laparoscopic surgery based on the matching result of the rehabilitation behavior recognition data of the patient after laparoscopic surgery and the rehabilitation taboo item in step S626 ; When Matches Successfully in the keyword matching of the rehabilitation behavior type, indicating that there is a rehabilitation taboo behavior in the postoperative rehabilitation process of the laparoscopic surgery patient, then output the judgment data of the rehabilitation taboo behavior of the patient after laparoscopic surgery As a rehabilitation taboo behavior​​​​​ When is not successfully matched with any keyword of the rehabilitation behavior type, it indicates that there are no rehabilitation contraindicated behaviors during the postoperative rehabilitation process of the laparoscopic surgery patient. Then, the judgment data of the rehabilitation contraindicated behaviors of the postoperative laparoscopic surgery patient is output as normal rehabilitation behaviors; at this time, steps S4, S5, and S6 are repeatedly executed until the postoperative rehabilitation operation of the laparoscopic surgery patient on the same day ends.

[0012] Preferably, when it is a rehabilitation contraindicated behavior, the monitoring data of the rehabilitation contraindicated behaviors of the postoperative laparoscopic surgery patient is constructed and the push operation of the rehabilitation contraindicated behaviors of the postoperative laparoscopic surgery patient is executed. After the push operation is completed, steps S4, S5, and S6 are repeatedly executed until the postoperative rehabilitation operation of the laparoscopic surgery patient on the same day ends. The operation steps are as follows: S71. When the judgment data of the rehabilitation contraindicated behaviors of the postoperative laparoscopic surgery patient is a rehabilitation contraindicated behavior, the behavior image data of the patient's postoperative rehabilitation process and the rehabilitation behavior recognition data of the postoperative laparoscopic surgery patient are combined and identified through data to construct the monitoring data of the rehabilitation contraindicated behaviors of the postoperative laparoscopic surgery patient , where ; S72. The hospital management platform transmits the monitoring data of the rehabilitation contraindicated behaviors of the postoperative laparoscopic surgery patient to the information feedback display screen in the ward of the hospital where the laparoscopic surgery patient is located through the Internet of Things communication network to execute the push operation of the rehabilitation contraindicated behaviors of the postoperative laparoscopic surgery patient. After the push operation is completed, steps S4, S5, and S6 are repeatedly executed until the postoperative rehabilitation operation of the laparoscopic surgery patient on the same day ends.

[0013] An artificial intelligence-based postoperative laparoscopic rehabilitation guidance system for implementing the artificial intelligence-based postoperative laparoscopic rehabilitation guidance method. The system includes a postoperative laparoscopic rehabilitation contraindicated item formulation module, a postoperative laparoscopic rehabilitation contraindicated behavior monitoring module, and a postoperative laparoscopic rehabilitation contraindicated behavior feedback module; The postoperative laparoscopic rehabilitation contraindicated item formulation module includes a patient postoperative day time information collection unit, a patient disease symptom feature information collection unit, a postoperative laparoscopic patient rehabilitation contraindicated item information storage unit, a postoperative laparoscopic patient rehabilitation contraindicated item correlation measurement unit, and a postoperative laparoscopic patient daily rehabilitation contraindicated item analysis unit; The postoperative day time information collection unit of the patient collects the postoperative day time text data of the patient through the hospital management platform; the patient disease characteristic information collection unit collects the patient disease characteristic text data through the hospital management platform; the laparoscopic postoperative patient rehabilitation taboo item information storage unit is used to store the laparoscopic postoperative patient rehabilitation taboo item text data; the laparoscopic postoperative patient rehabilitation taboo item correlation measurement unit performs statistical processing on the correlation values of laparoscopic surgery patients and laparoscopic surgery rehabilitation taboo items based on the postoperative day time text data of the patient, the patient disease characteristic text data, and the laparoscopic postoperative patient rehabilitation taboo item text data, and generates laparoscopic postoperative patient rehabilitation taboo item correlation statistical data; the laparoscopic postoperative patient daily rehabilitation taboo item analysis unit performs analysis processing on the laparoscopic postoperative patient required rehabilitation taboo item information based on the laparoscopic postoperative patient rehabilitation taboo item correlation statistical data and the laparoscopic postoperative patient rehabilitation taboo item text data, and generates the laparoscopic postoperative patient required rehabilitation taboo item text data; The laparoscopic postoperative rehabilitation taboo behavior monitoring module includes a patient postoperative rehabilitation behavior image collection 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; The patient postoperative rehabilitation behavior image collection unit collects the patient postoperative rehabilitation process behavior image data through an online cloud camera; the laparoscopic postoperative patient different type rehabilitation behavior image storage unit is used to store the laparoscopic postoperative patient different type rehabilitation behavior image data; the patient postoperative rehabilitation behavior recognition unit performs rehabilitation behavior recognition processing on the laparoscopic surgery patient during the 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 on the laparoscopic surgery patient during the postoperative rehabilitation process based on 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; The laparoscopic postoperative rehabilitation taboo behavior feedback module includes a laparoscopic postoperative patient rehabilitation taboo behavior collection unit and a laparoscopic postoperative patient rehabilitation taboo behavior display unit; The laparoscopic postoperative patient rehabilitation taboo behavior collection unit constructs laparoscopic postoperative patient rehabilitation taboo behavior monitoring data based on the patient postoperative rehabilitation process behavior image information and the laparoscopic postoperative patient rehabilitation behavior recognition information; the laparoscopic postoperative patient rehabilitation taboo behavior display unit performs laparoscopic postoperative patient rehabilitation taboo behavior push operations based on the laparoscopic postoperative patient rehabilitation taboo behavior monitoring data in combination with the hospital management platform and the information feedback display screen.

[0014] (III) Beneficial effects The present invention provides a laparoscopic postoperative rehabilitation guidance system and method based on artificial intelligence, having the following beneficial effects: 1. By accurately collecting the postoperative day time information of patients and the disease characteristics information of patients through the hospital management platform, reliable data support is provided for scientifically planning the rehabilitation taboo items of laparoscopic postoperative patients; based on the postoperative day time information of patients, the disease characteristics information of patients and the laparoscopic postoperative patient rehabilitation taboo item information stored in the big data, digital analysis and processing of the correlation degree between laparoscopic surgery patients and laparoscopic surgery rehabilitation taboo items are carried out, realizing scientific and accurate statistics of the matching degree of laparoscopic postoperative patient rehabilitation taboo items, and improving the scientific nature of laparoscopic postoperative patient rehabilitation guidance; according to the laparoscopic postoperative patient rehabilitation taboo item correlation degree statistical information and the laparoscopic postoperative patient rehabilitation taboo item information, customized selection of the laparoscopic surgery patient postoperative rehabilitation taboo item information is carried out, realizing accurate matching of the laparoscopic postoperative rehabilitation taboo item information based on the postoperative time and disease conditions of laparoscopic surgery patients, and realizing intelligent and user-friendly management of laparoscopic postoperative patient rehabilitation guidance.

[0015] 2. By accurately collecting the behavior image information of patients during the postoperative rehabilitation process through the cloud camera online, reliable data support is provided for scientifically supervising the rehabilitation behavior of laparoscopic postoperative patients; based on the real-time behavior image information of patients during the postoperative rehabilitation process, combined with the intelligent image search algorithm and the scientifically preset different types of laparoscopic postoperative patient rehabilitation behavior image information, intelligent recognition of the rehabilitation behavior of laparoscopic surgery patients during the postoperative rehabilitation process is realized, realizing dynamic and accurate supervision of the rehabilitation behavior of laparoscopic postoperative patients; according to the required rehabilitation taboo item information of laparoscopic postoperative patients and the rehabilitation behavior recognition information of laparoscopic postoperative patients, combined with the artificial intelligence recognition algorithm, intelligent judgment of the rehabilitation taboo behavior of laparoscopic surgery patients during the postoperative rehabilitation process is carried out, realizing intelligent supervision of the rehabilitation taboo behavior of laparoscopic postoperative patients, and improving the quality of laparoscopic postoperative patient rehabilitation guidance.

[0016] 3. By timely and efficiently constructing the laparoscopic postoperative patient rehabilitation taboo behavior monitoring information based on the patient postoperative rehabilitation process behavior image information and the laparoscopic postoperative patient rehabilitation behavior recognition information, combined with data processing, dynamic and efficient collection of the laparoscopic postoperative patient rehabilitation guidance results is realized; according to the laparoscopic postoperative patient rehabilitation taboo behavior monitoring information, combined with the hospital management platform and the information feedback display screen, efficient visualization of the laparoscopic postoperative patient rehabilitation taboo behavior push operation is carried out, realizing dynamic and intuitive feedback prompts of the laparoscopic postoperative patient rehabilitation taboo behavior, and improving the applicability and implementation effect of laparoscopic postoperative patient rehabilitation guidance. Description of the drawings

[0017] Figure 1 It is a module schematic diagram of a laparoscopic postoperative rehabilitation guidance system based on artificial intelligence provided by the present invention; Figure 2 Flowchart of a laparoscopic postoperative rehabilitation guidance method provided by the present invention based on artificial intelligence. Detailed implementation manners

[0018] Next, the technical solutions in the embodiments of the present invention will be clearly and completely described in conjunction with the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only a part of the embodiments of the present invention, rather than all the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those of ordinary skill in the art without creative efforts shall fall within the protection scope of the present invention.

[0019] The embodiments of the laparoscopic postoperative rehabilitation guidance system and method based on artificial intelligence are as follows: Embodiment 1: Please refer to Figure 1 - Figure 2 , a laparoscopic postoperative rehabilitation guidance method based on artificial intelligence, the method includes the following steps: S1. Collect the postoperative day time text data of the patient and the text data of the patient's disease characteristics; S2. According to the postoperative day time text data of the patient, the text data of the patient's disease characteristics, and the text data of the rehabilitation contraindication items for laparoscopic postoperative patients, perform statistical processing on the correlation degree values between the laparoscopic surgery patients and the rehabilitation contraindication items for laparoscopic surgery, and generate the statistical data of the correlation degree of the rehabilitation contraindication items for laparoscopic postoperative patients; S3. According to the statistical data of the correlation degree of the rehabilitation contraindication items for laparoscopic postoperative patients and the text data of the rehabilitation contraindication items for laparoscopic postoperative patients, perform analysis processing on the information of the rehabilitation contraindication items required by the laparoscopic surgery patients, and generate the text data of the rehabilitation contraindication items required by the laparoscopic postoperative patients; S4. Collect the behavioral image data of the patient during the postoperative rehabilitation process; S5. Based on the real-time behavioral image data of the patient during the postoperative rehabilitation process and the different types of rehabilitation behavioral image data of the laparoscopic postoperative patients, perform rehabilitation behavior recognition processing on the laparoscopic surgery patients during the postoperative rehabilitation process, and generate the rehabilitation behavior recognition data of the laparoscopic postoperative patients; S6. According to the text data of the rehabilitation contraindication items required by the laparoscopic postoperative patients and the rehabilitation behavior recognition data of the laparoscopic postoperative patients, perform judgment processing on the rehabilitation contraindication behaviors of the laparoscopic surgery patients during the postoperative rehabilitation process, and generate the judgment data of the rehabilitation contraindication behaviors of the laparoscopic postoperative patients; when it is a normal rehabilitation behavior, repeat S4, S5, and S6 until the postoperative rehabilitation operation of the laparoscopic surgery patient on the same day ends; S7. When it is a rehabilitation contraindication behavior, construct the surveillance data of the rehabilitation contraindication behaviors of the laparoscopic postoperative patients and perform the push operation of the rehabilitation contraindication behaviors of the laparoscopic postoperative patients. After the push operation is completed, repeat S4, S5, and S6 until the postoperative rehabilitation operation of the laparoscopic surgery patient on the same day ends.

[0020] Further, please refer to Figure 1 - Figure 2 , the operation steps for collecting the postoperative day time text data and the patient's disease characteristic text data of the patient are as follows: S11. Online collect the time characteristic information of the number of days after the operation of the target laparoscopic surgery patient through the hospital management platform, and generate the postoperative day time text data of the patient ; Online collect the text information of the disease characteristics of the target laparoscopic surgery patient through the hospital management platform, and generate the patient's disease characteristic text data , and the patient's disease characteristic text data includes the disease type information, disease symptom characteristic information and disease time information of the laparoscopic surgery patient.

[0021] The operation steps for statistically processing the correlation degree values between the laparoscopic surgery patient and the laparoscopic surgery rehabilitation taboo items according to the postoperative day time text data, the patient's disease characteristic text data and the laparoscopic postoperative patient rehabilitation taboo item text data, and generating the laparoscopic postoperative patient rehabilitation taboo item correlation degree statistical data are as follows: S21. Establish a text data set of laparoscopic postoperative patient rehabilitation taboo items , ; where represents the laparoscopic postoperative patient rehabilitation taboo item text data corresponding to the th type of laparoscopic postoperative patient characteristic combination type, represents the maximum value of the number of laparoscopic postoperative patient characteristic combination types; the laparoscopic postoperative patient characteristic combination type represents an index data type formed by combining the postoperative day time information and the patient's disease characteristic information of the patient mainly for searching the laparoscopic postoperative patient rehabilitation taboo item information; the laparoscopic postoperative patient rehabilitation taboo item text data represents the optimal laparoscopic postoperative patient rehabilitation taboo item information set for different laparoscopic postoperative patient characteristic combination types; the laparoscopic postoperative patient rehabilitation taboo items include running behavior, jumping behavior, weightlifting behavior, eating spicy food behavior, eating greasy food behavior, drinking behavior, smoking behavior and rubbing the wound behavior; S22. Use the uniform cost search algorithm to match the postoperative day time text data of the patient , the patient's disease characteristic text data with the laparoscopic postoperative patient rehabilitation taboo item text data in the laparoscopic postoperative patient rehabilitation taboo item text data set in an orderly manner according to the laparoscopic postoperative patient characteristic combination type number, and search for the postoperative day time keyword and the patient's disease characteristic keyword of the postoperative day time text data of the patient , the postoperative day time text data of the patient , the patient's disease characteristic text data Text data on rehabilitation taboos for patients after laparoscopic surgery The total number of keywords successfully matched for the postoperative day time keywords and the disease characteristics keywords of the patients, and generate a set of the total number of associated characters of the rehabilitation taboos for patients after laparoscopic surgery , where represents the text data on rehabilitation taboos for patients after laparoscopic surgery and the postoperative day time text data of the patients , the disease characteristics text data of the patients Perform the matching of the postoperative day time keywords and the disease characteristics keywords of the patients to obtain the total number of associated characters of the rehabilitation taboos for patients after laparoscopic surgery; The unit is individual; S23. Use the Boyer-Moore search algorithm to search out the set of text data on rehabilitation taboos for patients after laparoscopic surgery in an orderly manner according to the laparoscopic postoperative patient characteristic combination type number The text data on rehabilitation taboos for patients after laparoscopic surgery inside The total number of postoperative day time keywords and disease characteristics keywords of the patients in it, and generate a set of the total number of patient characteristic characters in the rehabilitation taboos for patients after laparoscopic surgery , where represents the text data on rehabilitation taboos for patients after laparoscopic surgery The total number of patient characteristic characters in the corresponding rehabilitation taboos for patients after laparoscopic surgery, The unit is individual; S24. Divide the total number of associated characters of the rehabilitation taboos for patients after laparoscopic surgery in the set of the total number of associated characters of the rehabilitation taboos for patients after laparoscopic surgery by the total number of patient characteristic characters in the rehabilitation taboos for patients after laparoscopic surgery in an orderly manner according to the laparoscopic postoperative patient characteristic combination type number to measure the set of statistical data on the association degree of the rehabilitation taboos for patients after laparoscopic surgery , where represents the postoperative day time text data of the patients , the disease characteristics text data of the patients and the text data on rehabilitation taboos for patients after laparoscopic surgery The corresponding statistical data on the association degree of the rehabilitation taboos for patients after laparoscopic surgery, where , The larger the value of , the postoperative day time text data of the patients , the disease characteristics text data of the patients The smaller the value, the postoperative day time text data of the patient , the text data of the patient's disease characteristics and the text data of the rehabilitation taboo items for patients after laparoscopic surgery The smaller the degree of association.

[0022] According to the statistical data of the association degree of the rehabilitation taboo items for patients after laparoscopic surgery and the text data of the rehabilitation taboo items for patients after laparoscopic surgery, the operation steps for analyzing and processing the information of the rehabilitation taboo items required by laparoscopic surgery patients to generate the text data of the rehabilitation taboo items required by patients after laparoscopic surgery are as follows: S31. Obtain the set of text data of the rehabilitation taboo items for patients after laparoscopic surgery and the set of statistical data of the association degree of the rehabilitation taboo items for patients after laparoscopic surgery ; S32. Use the iterative deepening search algorithm to search in the set of statistical data of the association degree of the rehabilitation taboo items for patients after laparoscopic surgery to find the statistical data of the association degree of the rehabilitation taboo items for patients after laparoscopic surgery with the largest association degree value , and based on the information of the combination type number of the patient characteristics after laparoscopic surgery corresponding to the statistical data of the association degree of the rehabilitation taboo items for patients after laparoscopic surgery with the largest association degree value , search in the set of text data of the rehabilitation taboo items for patients after laparoscopic surgery to find the text data of the rehabilitation taboo items for patients after laparoscopic surgery that matches the statistical data of the association degree of the rehabilitation taboo items for patients after laparoscopic surgery with the largest association degree value , and generate the text data of the rehabilitation taboo items required by patients after laparoscopic surgery through data identification . .

[0023] Through the mutual cooperation of the patient's postoperative day time information collection unit and the patient's disease characteristic information collection unit, the hospital management platform accurately collects the patient's postoperative day time information and the patient's disease characteristic information, providing reliable data support for the scientific planning of the rehabilitation taboo items for laparoscopic postoperative patients; the laparoscopic postoperative patient rehabilitation taboo item information storage unit and the laparoscopic postoperative patient rehabilitation taboo item correlation measurement unit cooperate with each other, and based on the patient's postoperative day time information, the patient's disease characteristic information and the laparoscopic postoperative patient rehabilitation taboo item information stored in the big data, conduct a digital analysis and processing of the correlation between laparoscopic surgery patients and laparoscopic surgery rehabilitation taboo items, realizing a scientific and accurate statistics of the matching degree of laparoscopic postoperative patient rehabilitation taboo items, and improving the scientific nature of laparoscopic postoperative patient rehabilitation guidance; the laparoscopic postoperative patient daily rehabilitation taboo item analysis unit, according to the laparoscopic postoperative patient rehabilitation taboo item correlation statistics information and the laparoscopic postoperative patient rehabilitation taboo item information, conducts a customized selection of the laparoscopic surgery patient's postoperative rehabilitation taboo item information, realizing the accurate matching of the laparoscopic postoperative rehabilitation taboo item information based on the postoperative time and disease of the laparoscopic surgery patient, and realizing the intelligent and humanized management of laparoscopic postoperative patient rehabilitation guidance.

[0024] Further, please refer to Figure 1 - Figure 2 , and the operation steps for collecting the behavior image data of the patient during the postoperative rehabilitation process are as follows: S41. Online collect, through the hospital ward cloud camera, the specific behavior characteristic images of the target laparoscopic surgery patient during the laparoscopic postoperative rehabilitation operation according to the text data of the rehabilitation taboo items required by laparoscopic postoperative patients and generate the behavior image data of the patient during the postoperative rehabilitation process. .

[0025] The operation steps for performing rehabilitation behavior recognition processing on laparoscopic surgery patients during the postoperative rehabilitation process based on the real-time behavior image data of the patient during the postoperative rehabilitation process and the different types of rehabilitation behavior image data of laparoscopic postoperative patients to generate the rehabilitation behavior recognition data of laparoscopic postoperative patients are as follows: S51. Establish a set of different types of rehabilitation behavior image data of laparoscopic postoperative patients , where represents the different types of rehabilitation behavior image data of laparoscopic postoperative patients corresponding to the th type of rehabilitation behavior, Represents the maximum value of the number of types of rehabilitation behaviors; The image data of different types of rehabilitation behaviors of laparoscopic postoperative patients represents the standard image information set for different types of rehabilitation behaviors of laparoscopic surgery patients during the postoperative rehabilitation process. The types of rehabilitation behaviors include the behavior of washing the wound with warm water, the behavior of disinfecting the wound, the behavior of running, the behavior of jumping, the behavior of weightlifting, the behavior of walking, the behavior of eating spicy food, the behavior of eating greasy food, the behavior of drinking alcohol, the behavior of smoking, and the behavior of rubbing the wound; S52. Use the FLANN image feature search algorithm to process the behavior image data of the patient during the postoperative rehabilitation process with the set of image data of different types of rehabilitation behaviors of laparoscopic postoperative patients in which the image data of different types of rehabilitation behaviors of laparoscopic postoperative patients perform image feature matching, and search for the image data of different types of rehabilitation behaviors of laparoscopic postoperative patients matching the behavior image data of the patient during the postoperative rehabilitation process corresponding to the text information of the rehabilitation behavior type, and construct the rehabilitation behavior recognition data of laparoscopic postoperative patients .

[0026] Based on the text data of the rehabilitation taboos required by laparoscopic postoperative patients and the rehabilitation behavior recognition data of laparoscopic postoperative patients, perform judgment and processing on the rehabilitation taboo behaviors of laparoscopic surgery patients during the postoperative rehabilitation process to generate the judgment data of the rehabilitation taboo behaviors of laparoscopic postoperative patients; When it is a normal rehabilitation behavior, repeat steps S4, S5, and S6 until the operation steps for the end of the postoperative rehabilitation work of laparoscopic surgery patients on the same day are as follows: S61. Obtain the text data of the rehabilitation taboos required by laparoscopic postoperative patients and the rehabilitation behavior recognition data of laparoscopic postoperative patients ; S62. Perform keyword matching of the rehabilitation behavior type between the rehabilitation behavior recognition data of laparoscopic postoperative patients and the text data of the rehabilitation taboos required by laparoscopic postoperative patients to generate the judgment data of the rehabilitation taboo behaviors of laparoscopic postoperative patients according to the matching results of the keywords of the rehabilitation behavior type ; The specific operation steps for executing the generation of the judgment data of the rehabilitation taboo behaviors of laparoscopic postoperative patients are as follows: S621. Initialize the parameters and update the maximum number of iterations T of the algorithm; S622. Initialize the position of the seagull population of rehabilitation behavior recognition in the search space of the text data of the rehabilitation taboos required by laparoscopic postoperative patients ; S623. Calculate the text data of the rehabilitation taboos required by laparoscopic postoperative patients All rehabilitation taboo items and laparoscopic postoperative patient rehabilitation behavior recognition data of the fitness value, and retain the rehabilitation taboo items in the text data of the rehabilitation taboo items required by laparoscopic postoperative patients in the search space of the rehabilitation taboo items and laparoscopic postoperative patient rehabilitation behavior recognition data The global optimal position of the rehabilitation taboo item with the maximum fitness value; S624. Migration, global search: The migration behavior of the rehabilitation behavior recognition seagull mainly has three steps. First, it satisfies the condition of avoiding collision between different rehabilitation behavior recognition seagull individuals in the search space of the text data of the rehabilitation taboo items required by laparoscopic postoperative patients ; Second, calculate the best position direction of the rehabilitation taboo items that match the laparoscopic postoperative patient rehabilitation behavior recognition data in the search space of the text data of the rehabilitation taboo items required by laparoscopic postoperative patients ; Third, move to a new position according to the direction of the best position where the rehabilitation taboo item with the best match to the laparoscopic postoperative patient rehabilitation behavior recognition data is located ; ; S6241. Calculate the new position where the rehabilitation behavior recognition seagull does not collide with adjacent rehabilitation behavior recognition seagulls during the movement in the search space of the text data of the rehabilitation taboo items required by laparoscopic postoperative patients ; ; , ; Among them represents the current position of the rehabilitation behavior recognition seagull in the search space of the text data of the rehabilitation taboo items required by laparoscopic postoperative patients ; represents the current iteration number; represents the movement behavior of the rehabilitation behavior recognition seagull in the search space of the text data of the rehabilitation taboo items required by laparoscopic postoperative patients ; represents the function that controls the change frequency, represents the maximum number of iterations; S6242. Calculate the best position of the rehabilitation taboo item that best matches the laparoscopic postoperative patient rehabilitation behavior recognition data in the search space of the text data of the rehabilitation taboo items required by laparoscopic postoperative patients ; ; ; , , among them represents the search in the search space of the text data of the rehabilitation taboo items required by laparoscopic postoperative patients for the rehabilitation taboo items that match the laparoscopic postoperative patient rehabilitation behavior recognition data ; The current best position of the best-matched rehabilitation contraindication items; A random number representing the balance between global and local search capabilities, representing a random number within the range [0, 1]; S6243, according to the text data of the rehabilitation contraindication items required by laparoscopic postoperative patients in the search space, move to a new position in the direction of the best position of the rehabilitation contraindication items that best match the rehabilitation behavior recognition data of laparoscopic postoperative patients ; , , search in the search space of the text data of the rehabilitation contraindication items required by laparoscopic postoperative patients according to the direction of the best position for the new position of the rehabilitation contraindication items that best match the rehabilitation behavior recognition data of laparoscopic postoperative patients ; S625. Attack the prey, local search. When the seagull for rehabilitation behavior recognition attacks the prey of the rehabilitation contraindication items that match the rehabilitation behavior recognition data of laparoscopic postoperative patients in the search space of the text data of the rehabilitation contraindication items required by laparoscopic postoperative patients , perform a spiral movement in the air, and the new position of the seagull for rehabilitation behavior recognition after attacking the prey ; , , search in the search space of the text data of the rehabilitation contraindication items required by laparoscopic postoperative patients for the prey of the rehabilitation contraindication items that match the rehabilitation behavior recognition data of laparoscopic postoperative patients ; S626. Judge whether the maximum number of iterations is satisfied. If so, output the rehabilitation contraindication items that match the rehabilitation behavior recognition data of laparoscopic postoperative patients; if not, return to step S623; S627. Generate the judgment data of the rehabilitation contraindication behavior of laparoscopic postoperative patients based on the matching result between the rehabilitation behavior recognition data of laparoscopic postoperative patients in step S626 and the rehabilitation contraindication items ; When successfully matches the keywords of the rehabilitation behavior type with , it indicates that there is a rehabilitation contraindication behavior in the postoperative rehabilitation process of laparoscopic surgery patients, and output the judgment data of the rehabilitation contraindication behavior of laparoscopic postoperative patients as a rehabilitation contraindication behavior; When fails to match the keywords of the rehabilitation behavior type with , it indicates that there is no rehabilitation contraindication behavior in the postoperative rehabilitation process of laparoscopic surgery patients, and output the judgment data of the rehabilitation contraindication behavior of laparoscopic postoperative patients When and both fail to match the keywords of the rehabilitation behavior type, it indicates that there is no rehabilitation contraindication behavior in the postoperative rehabilitation process of laparoscopic surgery patients, and output the judgment data of the rehabilitation contraindication behavior of laparoscopic postoperative patients To rehabilitate normal behavior; at this time, repeat S4, S5, and S6 until the postoperative rehabilitation operation of the laparoscopic surgery patient on the same day ends.

[0027] Through the postoperative rehabilitation behavior image acquisition unit of the patient, use the cloud lens to accurately collect the behavior image information of the patient during the postoperative rehabilitation process online, providing reliable data support for the scientific supervision of the rehabilitation behavior of laparoscopic postoperative patients; the different types of postoperative rehabilitation behavior image storage unit of laparoscopic postoperative patients and the postoperative rehabilitation behavior recognition unit of the patient cooperate with each other. Based on the real-time behavior image information during the postoperative rehabilitation process of the patient, combined with the intelligent image search algorithm and the scientifically preset different types of postoperative rehabilitation behavior image information of laparoscopic postoperative patients, conduct intelligent recognition of the rehabilitation behavior of laparoscopic surgery patients during the postoperative rehabilitation process, realizing dynamic and accurate supervision of the rehabilitation behavior of laparoscopic postoperative patients; the postoperative rehabilitation taboo behavior judgment unit, based on the required rehabilitation taboo item information of laparoscopic postoperative patients, the postoperative rehabilitation behavior recognition information of laparoscopic postoperative patients, and combined with the artificial intelligence recognition algorithm, conduct intelligent judgment of the postoperative rehabilitation taboo behavior of laparoscopic surgery patients during the postoperative rehabilitation process, realizing intelligent supervision of the postoperative rehabilitation taboo behavior of laparoscopic postoperative patients and improving the quality of postoperative rehabilitation guidance for laparoscopic postoperative patients.

[0028] Furthermore, please refer to Figure 1 - Figure 2 , when it is a rehabilitation taboo behavior, construct the postoperative rehabilitation taboo behavior monitoring data of laparoscopic surgery patients and perform the postoperative rehabilitation taboo behavior push operation for laparoscopic surgery patients. After the push operation is completed, repeat S4, S5, and S6 until the postoperative rehabilitation operation of the laparoscopic surgery patient on the same day ends. The operation steps are as follows: S71. When the postoperative rehabilitation taboo behavior judgment data of laparoscopic surgery patients is a rehabilitation taboo behavior, combine the postoperative rehabilitation process behavior image data of the patient , the postoperative rehabilitation behavior recognition data of laparoscopic surgery patients to construct the postoperative rehabilitation taboo behavior monitoring data of laparoscopic surgery patients through data combination identification , where ; S72. The hospital management platform transmits the postoperative rehabilitation taboo behavior monitoring data of laparoscopic surgery patients to the information feedback display screen in the ward of the hospital where the laparoscopic surgery patient is located through the Internet of Things communication network to perform the postoperative rehabilitation taboo behavior push operation for laparoscopic surgery patients. After the push operation is completed, repeat S4, S5, and S6 until the postoperative rehabilitation operation of the laparoscopic surgery patient on the same day ends.

[0029] Through the laparoscopic postoperative patient rehabilitation taboo behavior collection unit, based on the behavior image information during the patient's postoperative rehabilitation process and the laparoscopic postoperative patient rehabilitation behavior recognition information, the laparoscopic postoperative patient rehabilitation taboo behavior monitoring information is constructed in a timely and efficient manner through data processing, realizing the dynamic and efficient collection of the laparoscopic postoperative patient rehabilitation guidance results; the laparoscopic postoperative patient rehabilitation taboo behavior display unit, based on the laparoscopic postoperative patient rehabilitation taboo behavior monitoring information, combines the hospital management platform and the information feedback display screen to efficiently and visually execute the laparoscopic postoperative patient rehabilitation taboo behavior push operation, realizing the dynamic and intuitive feedback prompt of the laparoscopic postoperative patient rehabilitation taboo behavior, and improving the applicability and implementation effect of the laparoscopic postoperative patient rehabilitation guidance.

[0030] Embodiment 2: Please refer to Figure 1 - Figure 2 , an artificial intelligence-based laparoscopic postoperative rehabilitation guidance system for implementing an artificial intelligence-based laparoscopic postoperative rehabilitation guidance method. The system includes a laparoscopic postoperative rehabilitation taboo item formulation module, a laparoscopic postoperative rehabilitation taboo behavior monitoring module, and a laparoscopic postoperative rehabilitation taboo behavior feedback module; The laparoscopic postoperative rehabilitation taboo item formulation module includes a patient postoperative day time information collection unit, a patient disease characteristic information collection unit, a laparoscopic postoperative patient rehabilitation taboo item information storage unit, a laparoscopic postoperative patient rehabilitation taboo item correlation measurement unit, and a laparoscopic postoperative patient daily rehabilitation taboo item analysis unit; The patient postoperative day time information collection unit collects the patient postoperative day time text data through the hospital management platform; the patient disease characteristic information collection unit collects the patient disease characteristic text data through the hospital management platform; the laparoscopic postoperative patient rehabilitation taboo item information storage unit is used to store the laparoscopic postoperative patient rehabilitation taboo item text data; the laparoscopic postoperative patient rehabilitation taboo item correlation measurement unit performs the correlation degree numerical statistical processing of the laparoscopic surgery patient and the laparoscopic surgery rehabilitation taboo item based on the patient postoperative day time text data, the patient disease characteristic text data and the laparoscopic postoperative patient rehabilitation taboo item text data, and generates the laparoscopic postoperative patient rehabilitation taboo item correlation statistical data; the laparoscopic postoperative patient daily rehabilitation taboo item analysis unit analyzes and processes the laparoscopic postoperative patient rehabilitation taboo item information required by the laparoscopic surgery patient according to the laparoscopic postoperative patient rehabilitation taboo item correlation statistical data and the laparoscopic postoperative patient rehabilitation taboo item text data, and generates the laparoscopic postoperative patient required rehabilitation taboo item text data; The laparoscopic postoperative rehabilitation taboo behavior monitoring module includes a patient postoperative rehabilitation behavior image collection 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; The patient postoperative rehabilitation behavior image acquisition unit collects the behavior image data of the patient's postoperative rehabilitation process through the cloud lens online; the laparoscopic postoperative patient different types of rehabilitation behavior image storage unit is used to store the laparoscopic postoperative patient different types of rehabilitation behavior image data; the patient postoperative rehabilitation behavior recognition unit performs the rehabilitation behavior recognition processing of the laparoscopic surgery patient during the postoperative rehabilitation process based on the real-time behavior image data of the patient's postoperative rehabilitation process and the laparoscopic postoperative patient different types of rehabilitation behavior image data, and generates the laparoscopic postoperative patient rehabilitation behavior recognition data; the patient postoperative rehabilitation taboo behavior judgment unit performs the rehabilitation taboo behavior judgment processing of the laparoscopic surgery patient during the 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 the laparoscopic postoperative patient rehabilitation taboo behavior judgment data; The laparoscopic postoperative rehabilitation taboo behavior feedback module includes a laparoscopic postoperative patient rehabilitation taboo behavior collection unit and a laparoscopic postoperative patient rehabilitation taboo behavior display unit; The laparoscopic postoperative patient rehabilitation taboo behavior collection unit constructs the laparoscopic postoperative patient rehabilitation taboo behavior monitoring data based on the patient's postoperative rehabilitation process behavior image information and the laparoscopic postoperative patient rehabilitation behavior recognition information; the laparoscopic postoperative patient rehabilitation taboo behavior display unit performs the laparoscopic postoperative patient rehabilitation taboo behavior push operation according to the laparoscopic postoperative patient rehabilitation taboo behavior monitoring data in combination with the hospital management platform and the information feedback display screen.

[0031] Although the embodiments of the present invention have been shown and described, for those of ordinary skill in the art, it can be understood that various changes, modifications, substitutions, and variations can be made to these embodiments without departing from the principles and spirit of the present invention, and the scope of the present invention is defined by the appended claims and their equivalents.

Claims

1. An artificial intelligence-based postoperative rehabilitation guidance method for laparoscopy, characterized in that, The method includes the following steps: S1. Collect the postoperative daily time text data of the patient and the text data of the patient's disease characteristics; S2. Conduct numerical statistical processing on the correlation degree between laparoscopic surgery patients and the rehabilitation contraindication items of laparoscopic surgery to generate the statistical data of the correlation degree of rehabilitation contraindication items for postoperative laparoscopic surgery patients; S3. Conduct information analysis and processing on the postoperative rehabilitation contraindication items required by laparoscopic surgery patients to generate the text data of the postoperative rehabilitation contraindication items required by laparoscopic surgery patients; S4. Collect the behavioral image data of the patient during the postoperative rehabilitation process; S5. Conduct rehabilitation behavior recognition processing on laparoscopic surgery patients during the postoperative rehabilitation process to generate rehabilitation behavior recognition data for postoperative laparoscopic surgery patients; S6. Conduct judgment processing on the rehabilitation contraindication behaviors of laparoscopic surgery patients during the postoperative rehabilitation process to generate judgment data on the rehabilitation contraindication behaviors of postoperative laparoscopic surgery patients; when it is a normal rehabilitation behavior, repeat S4, S5, and S6 until the postoperative rehabilitation work of the laparoscopic surgery patient on the same day ends; S7. When it is a rehabilitation contraindication behavior, construct the surveillance data of the rehabilitation contraindication behaviors of postoperative laparoscopic surgery patients and execute the push operation of the rehabilitation contraindication behaviors of postoperative laparoscopic surgery patients. After the push operation is completed, repeat S4, S5, and S6 until the postoperative rehabilitation work of the laparoscopic surgery patient on the same day ends.

2. The laparoscopic postoperative rehabilitation guidance method based on artificial intelligence according to claim 1, wherein: The S1 includes the following steps: S11. Online collect the time characteristic information of the target laparoscopic surgery patient on the postoperative day through the hospital management platform, and generate the postoperative day time text data of the patient ; Online collect the text information of the disease characteristics of the target laparoscopic surgery patients through the hospital management platform, and generate the patient's disease characteristics text data .

3. The laparoscopic postoperative rehabilitation guidance method based on artificial intelligence according to claim 2, characterized in that: The S2 includes the following steps: S21. Establish a text data set of rehabilitation contraindications for patients after laparoscopic surgery , ; Among them represents the text data of rehabilitation contraindications for patients after laparoscopic surgery corresponding to the th combination type of patient characteristics after laparoscopic surgery, represents the maximum value of the number of combination types of patient characteristics after laparoscopic surgery; S22. Using the uniform cost search algorithm, the and the are numbered in an orderly manner according to the combination type of laparoscopic postoperative patient characteristics and are matched with the described in the for the keywords of the postoperative day time of the patient and the keywords of the patient's disease characteristics, and the total number of keywords successfully matched with the and the and the is searched out, and a set of the total number of associated characters of the rehabilitation taboo items for laparoscopic postoperative patients is generated , where represents the total number of associated characters of the rehabilitation taboo items for laparoscopic postoperative patients corresponding to the matching of the keywords of the postoperative day time of the patient and the keywords of the patient's disease characteristics between the and the and the ; The unit of S23. Use the Boyer-Moore search algorithm to search for the total number of postoperative day time keywords and disease characteristic keywords of the patients in the inside the in an orderly manner according to the combined type numbers of the characteristics of the patients after laparoscopic surgery, and generate a set of the total number of patient characteristic characters in the rehabilitation taboo items for patients after laparoscopic surgery , where represents the total number of patient characteristic characters in the rehabilitation taboo item for the corresponding patient after laparoscopic surgery, and the unit of is piece. S24. Divide the described in by the and perform a quotient operation on the numerical values of the character counts in an orderly manner according to the combined type numbers of the characteristics of laparoscopic postoperative patients, and measure the statistical data set of the correlation degrees of the rehabilitation taboo items for laparoscopic postoperative patients , where represents the , the and the corresponding statistical data of the correlation degrees of the rehabilitation taboo items for laparoscopic postoperative patients, where .

4. The laparoscopic postoperative rehabilitation guidance method based on artificial intelligence according to claim 3, wherein: The S3 includes the following steps: S31. Obtain the and the ; 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 characteristic 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 .

5. The laparoscopic postoperative rehabilitation guidance method based on artificial intelligence according to claim 4, characterized in that: The S4 includes the following steps: S41. Online collect the specific behavior characteristic images of the target laparoscopic surgery patient during the laparoscopic postoperative rehabilitation operation according to the and generate the behavior image data of the patient during the postoperative rehabilitation process .

6. The laparoscopic postoperative rehabilitation guidance method based on artificial intelligence according to claim 5, characterized in that: The S5 includes the following steps: S51. Establish a set of image data of different types of rehabilitation behaviors for laparoscopic postoperative patients , ; where represents the image data of different types of rehabilitation behaviors of laparoscopic postoperative patients corresponding to the th type of rehabilitation behavior, represents the maximum value of the number of rehabilitation behavior types; S52. Use the FLANN image feature search algorithm to match the with the described in the for image feature matching, and search for the matched corresponding rehabilitation behavior type text information, and construct the rehabilitation behavior recognition data of the .

7. The laparoscopic postoperative rehabilitation guidance method based on artificial intelligence according to claim 6, characterized in that: The S6 includes the following steps: S61. Obtain the and the ; S62. Match the with the to perform keyword matching for rehabilitation behavior types, and generate judgment data on rehabilitation contraindicated behaviors for postoperative laparoscopic patients based on the keyword matching results of rehabilitation behavior types ; Execute the specific operation steps for generating the judgment data on rehabilitation contraindicated behaviors for postoperative laparoscopic patients as follows: S621. Initialize the parameters and update the maximum number of iterations T of the algorithm; S622. Initialize the position of the seagull population for rehabilitation behavior recognition in the search space of ; S623. Calculate the fitness values of all rehabilitation taboo items in and retain the global optimal position of the rehabilitation taboo item with the maximum fitness value among the rehabilitation taboo items in the search space of ; ​ S624. Migration, global search: There are mainly three steps in the recognition of the migration behavior of seagulls in the rehabilitation behavior. First, it is necessary to meet the condition of avoiding collisions between individual seagulls in the search space of ; second, calculate the best position direction of the rehabilitation taboo items that match the in the search space; third, move to a new position according to the direction of the best position where the rehabilitation taboo item with the best match is located in the ; Move to a new position according to the direction of the best position where the best-matched rehabilitation taboo item is located; S6241, calculate a new position where the rehabilitation behavior recognition seagull does not collide with adjacent rehabilitation behavior recognition seagulls during the movement in the search space of ; S6242, calculate the best position of the rehabilitation taboo item that best matches the in the search space of ; S6243, move to a new position according to the direction of the best-matched rehabilitation taboo item at the best position in the search space of wherein the best-matched rehabilitation taboo item is located; ​ S625, Attack prey, local search, rehabilitation behavior recognition. When the seagull attacks the prey of the rehabilitation taboo item that matches the in the search space, it makes a spiral movement in the air, and the rehabilitation behavior recognizes the new position of the seagull after attacking the prey; ​ S626. Determine whether the maximum number of iterations is satisfied, and if so, output the rehabilitation taboo items matching the ; if not, return to step S623; S627. According to what is described in step S626 generate judgment data on rehabilitation taboo behaviors of patients after laparoscopic surgery based on the matching results of rehabilitation taboo items ; When matches successfully with for the rehabilitation behavior type keyword, the output of the is a rehabilitation taboo behavior; when and both do not match successfully for the rehabilitation behavior type keyword, the output of the is a normal rehabilitation behavior; at this time, repeat steps S4, S5, and S6 until the postoperative rehabilitation operation of the laparoscopic surgery patient on the same day ends.

8. A method for guiding laparoscopic postoperative rehabilitation based on artificial intelligence according to claim 7, characterized in that: The S7 includes the following steps: S71. When the is a rehabilitation contraindicated behavior, the , the are used to construct the laparoscopic postoperative patient rehabilitation contraindicated behavior monitoring data ; S72. The hospital management platform transmits the information feedback display screen in the ward of the hospital where the laparoscopic surgery patient is located through the Internet of Things communication network to perform the push operation of the rehabilitation taboo behaviors of the postoperative laparoscopic surgery patient. After the push operation is completed, S4, S5, and S6 are repeatedly executed until the postoperative rehabilitation operation of the laparoscopic surgery patient on the same day ends.

9. An artificial intelligence-based laparoscopic postoperative rehabilitation guidance system for implementing an artificial intelligence-based laparoscopic postoperative rehabilitation guidance method according to any one of claims 1-8, characterized in that: The system includes a module for formulating rehabilitation contraindication items after laparoscopic surgery, a module for monitoring rehabilitation contraindication behaviors after laparoscopic surgery, and a module for feedback on rehabilitation contraindication behaviors after laparoscopic surgery.

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