Burn wound dynamic monitoring method and system based on big data analysis

Abstract

The invention relates to a burn wound dynamic monitoring method and system based on big data analysis, and relates to the technical field of wound monitoring, and the method comprises the steps: obtaining a target portrait, a target burn type and a target burn recovery scheme of a burn patient; based on the actual recovery duration of the burn patient, at least one key abnormal wound index of the burn wound of the historical burn patient and a corresponding key recovery duration interval, determining at least one target wound index for monitoring the burn wound of the burn patient at present; according to the actual index value of each target wound index, determining at least one actual abnormal wound index from each target wound index, and according to each actual abnormal wound index, determining a target complication easy to occur in the burn patient; and sending early warning information to a doctor terminal according to each actual abnormal wound index and the target complication. The method has the effect of improving the real-time performance of monitoring in the burn wound recovery process.

Description

Technical Field

[0001] This application relates to the technical field of wound monitoring, and particularly to a dynamic monitoring method and system for burn wounds based on big data analysis. Background Art

[0002] A burn wound refers to the wound area formed after the human skin or mucous membrane tissue is damaged by various injuring factors. A burn wound not only causes local skin tissue damage but also triggers a series of systemic pathophysiological changes. Large - area burns can lead to a large amount of body fluid exudation, causing hypovolemic shock; the openness of the wound increases the risk of infection, and pathogens such as bacteria are likely to invade the body, triggering systemic infection, and in severe cases, it can lead to life - threatening complications such as sepsis. Thus, the recovery of burn wounds is of crucial significance to the patient's life safety, physical function recovery, psychological state, and economic burden, and is a key link in the burn treatment process. Therefore, how to effectively monitor the burn wound during the recovery process to ensure its normal recovery is an urgent problem to be solved.

[0003] Currently, the common method for monitoring during the burn wound recovery process is to rely on doctors to conduct regular clinical examinations on the index data of various dimensions during the burn wound recovery, such as wound color, wound size, etc., and intervene in a timely manner once abnormalities are found. However, for patients with large - area burns, various complications may occur during the burn wound recovery. When relying on the regular examination by doctors, complications often have already occurred when abnormalities are found, resulting in poor real - time monitoring of the burn wound recovery process. Summary of the Invention

[0004] To improve the real - time monitoring of the burn wound recovery process, this application provides a dynamic monitoring method, system, storage medium, and electronic device for burn wounds based on big data analysis.

[0005] In the first aspect of this application, a dynamic monitoring method for burn wounds based on big data analysis is provided, which specifically includes: Obtain the target portrait, target burn type, and target burn recovery plan of the burn patient; Based on the actual recovery duration of the burn patient, at least one key abnormal wound surface index of the burn wounds of historical burn patients, and the corresponding key recovery duration intervals, determine at least one target wound surface index for currently monitoring the burn wounds of the burn patient. The portraits of the historical burn patients are consistent with the target portrait, the burn types are consistent with the target burn type, and the burn recovery plans are consistent with the target burn recovery plan. The historical burn patients are those who have had complications in their burn wounds. The key abnormal wound surface index is a burn wound surface index that is prone to abnormalities. The key recovery duration interval is the recovery duration interval in which the recovery duration is prone to be when the corresponding key abnormal wound surface index appears in historical burn patients. The burn wound surface index is an index that reflects the recovery situation of the burn wound surface; According to the actual index values of the respective target wound surface indexes, determine at least one actual abnormal wound surface index from the respective target wound surface indexes, and based on the respective actual abnormal wound surface indexes, determine the target complications that the burn patient is prone to have; Send a warning message to the doctor terminal for each of the actual abnormal wound surface indexes and the target complications.

[0006] By adopting the above technical solution, after obtaining the target portrait, target burn type, and target burn recovery plan of the burn patient, based on the actual recovery duration of the burn wound surface, key abnormal wound surface indexes, and the corresponding key recovery duration intervals, analyze and determine the likelihood of each key abnormal wound surface index being abnormal at the current time, and then determine the target wound surface indexes that need to be monitored currently, so as to achieve targeted monitoring of the burn wound surface, and then it is easier to detect the abnormal wound surface indexes in a relatively timely manner, improving the real-time performance of the monitoring during the recovery of the burn wound surface. Further, based on the actual index values of each target wound surface index at the current time, screen out the actual abnormal wound surface indexes with abnormalities, and then combine each existing actual abnormal wound surface index to analyze and determine the target complications that are likely to induce the burn patient at the current time. Finally, send a corresponding warning message to the doctor terminal to remind the doctor to timely check the situation of the actual abnormal wound surface indexes of the burn wound surface and the occurrence of the target complications, thereby further improving the real-time performance of the monitoring during the recovery process of the burn wound surface.

[0007] Optionally, the determining of at least one target wound surface index for currently monitoring the burn wounds of the burn patient based on the actual recovery duration of the burn patient, at least one key abnormal wound surface index of the burn wounds of historical burn patients, and the corresponding key recovery duration intervals specifically includes: Obtain the first occurrence times of the historical abnormal wound surface indicators that are abnormal before complications occur in historical burn patients, and select the first quantity of historical abnormal wound surface indicators from each of the historical abnormal wound surface indicators and determine them as key abnormal wound surface indicators in descending order of the first occurrence times; Obtain the recovery duration intervals in which the recovery durations are located when a single key abnormal wound surface indicator is abnormal in historical burn patients, and count the second occurrence times of each recovery duration interval; Select the second quantity of recovery duration intervals from each of the recovery duration intervals and determine them as the key recovery duration intervals corresponding to a single key abnormal wound surface indicator in descending order of the second occurrence times; Determine the first weight of each key abnormal wound surface indicator and determine the second weight of the key recovery duration interval corresponding to each key abnormal wound surface indicator. The first weight is the ratio of the first occurrence time of each key abnormal wound surface indicator to the sum of the first occurrence times of all key abnormal wound surface indicators, and the second weight is the ratio of the second occurrence time of a single key recovery duration interval corresponding to a key abnormal wound surface indicator to the sum of the second occurrence times of all corresponding key recovery duration intervals; Determine at least one target wound surface indicator for monitoring the burn wound surface of the burn patient currently according to the actual recovery duration of the burn patient, the first weight, and the corresponding second weight.

[0008] By adopting the above technical solution, the larger the first occurrence time, the more likely the corresponding historical abnormal wound surface indicator is to be abnormal before complications occur in historical burn patients, and thus the key abnormal wound surface indicators are determined; the larger the second occurrence time, the more likely the key abnormal wound surface indicator is to be abnormal when the recovery duration of the burn patient is within the corresponding recovery duration interval, and thus the key recovery duration intervals are determined. Finally, combining the actual recovery duration, the first weight, and the corresponding third weight, analyze the likelihood of each key abnormal wound surface indicator of the current burn patient being abnormal, and thus screen out the target wound surface indicators for targeted monitoring.

[0009] Optionally, the determining at least one target wound surface indicator for monitoring the burn wound surface of the burn patient currently according to the actual recovery duration of the burn patient, the first weight, and the corresponding second weight specifically includes: Determine the key recovery duration interval in which the actual recovery duration of the burn patient is located as the important recovery duration interval. If there is the important recovery duration interval among the key recovery duration intervals corresponding to the key abnormal wound surface indicator, then determine the corresponding key abnormal wound surface indicator as the important abnormal wound surface indicator; Calculate the first product of the first weight of each of the important abnormal wound surface indicators and the second weight of the corresponding important recovery duration interval, and sum up the first products to obtain the sum of the first products; If the sum of the first products exceeds a preset first threshold, it is determined that the burn wound of the burn patient is currently being monitored, and the important abnormal wound surface indicator corresponding to the first product that exceeds the preset second threshold is determined as the target wound surface indicator.

[0010] By adopting the above technical solution, the larger the sum of the first products, the greater the overall possibility that the current wound surface indicators of the burn patient are abnormal. If the sum of the first products exceeds the preset first threshold, it indicates that the overall possibility that the current wound surface indicators of the burn patient are abnormal is relatively large. Then, it is determined to specifically monitor the wound surface indicators of the burn patient's burn wound, pay attention to the dynamic changes of the wound surface in a timely manner, and avoid the occurrence of complications. If the first product exceeds the second threshold, it indicates that when the burn patient is under the actual recovery duration, the possibility of inducing complications when the corresponding important abnormal wound surface indicator is abnormal is relatively large. Then, the important abnormal wound surface indicator corresponding to the first product is determined as the target wound surface indicator and used as the wound surface indicator that needs to be monitored currently, so as to better monitor and warn of the complications of the burn wound.

[0011] Optionally, determining the target complications that the burn patient is prone to according to each of the actual abnormal wound surface indicators specifically includes: Obtain the third occurrence times of each historical complication when a single important abnormal wound surface indicator of historical burn patients is abnormal, and select the third number of historical complications from each of the historical complications in descending order of the third occurrence times to determine the key complications corresponding to the single important abnormal wound surface indicator; Determine the third weight of the key complications corresponding to each of the important abnormal wound surface indicators, where the third weight is the ratio of the third occurrence times of a single key complication corresponding to the important abnormal wound surface indicator to the sum of the third occurrence times of all the corresponding key complications; Determine the target complications that the burn patient is prone to according to each of the actual abnormal wound surface indicators, the first weight, and the corresponding third weight.

[0012] By adopting the above technical solution, the larger the third occurrence times, the greater the possibility that subsequent historical complications will occur when the important abnormal wound surface indicator of historical burn patients is abnormal, and then the key complications are determined. Finally, by combining the actual abnormal wound surface indicators that actually appear abnormal, the first weight, and the corresponding third weight, analyze the possibility of inducing each key complication currently, and then more accurately determine the target complications that are prone to occur currently, so as to conduct targeted monitoring.

[0013] Optionally, determining the target complication that the burn patient is prone to according to each of the actual abnormal wound surface indicators, the first weight, and the corresponding third weight specifically includes: If the actual abnormal wound surface indicator is a key abnormal wound surface indicator, then determine the corresponding actual abnormal wound surface indicator as the reference wound surface indicator, and calculate the second product of the first weight of each reference wound surface indicator and the third weight of the corresponding key complications; Sum the second products corresponding to the same key complication to obtain the sum of the corresponding second products, and compare the sum of the second products with a preset third threshold; If the sum of the second products exceeds the third threshold, then determine the corresponding key complication as the target complication that the burn patient is prone to.

[0014] By adopting the above technical solution, the larger the sum of the second products, the greater the possibility that the burn patient will induce the corresponding key complication when the reference wound surface indicator is abnormal. At the same time, compare the sum of the second products with the preset third threshold. If the sum of the second products exceeds the third threshold, it indicates that the possibility of inducing the corresponding key complication is relatively large. Then, determine the corresponding key complication as the target complication that the burn patient is prone to, and key monitoring needs to be carried out from now on to reduce the risk of complications in the burn patient.

[0015] Optionally, the method further includes: Obtain the actual complications that the burn patient has; If the actual complication exists among the key complications corresponding to the key abnormal wound surface indicator, then determine the corresponding key abnormal wound surface indicator as the suspected wound surface indicator, and calculate the third product of the first weight of each suspected wound surface indicator and the third weight of the corresponding actual complication; Compare the third product with a preset fourth threshold. If the third product exceeds the fourth threshold, then determine the corresponding suspected wound surface indicator as the complication inducing factor indicator; Based on each of the complication inducing factor indicators, adjust and optimize the target burn recovery plan.

[0016] By adopting the above technical solution, the larger the third product, the greater the possibility that the suspected wound surface indicator will induce the actual complication when it is abnormal. If the third product exceeds the preset fourth threshold, it indicates that the possibility of the suspected wound surface indicator inducing the actual complication when it is abnormal is relatively large. Then, determine the corresponding suspected wound surface indicator as the complication inducing factor indicator, that is, the wound surface indicator that is likely to induce the actual complication. Finally, based on each of these complication inducing factor indicators, adjust and optimize the target burn recovery plan, thereby improving the recovery effect of the burn wound of the burn patient.

[0017] Optionally, adjusting and optimizing the target burn recovery plan based on each of the complication predisposing indicators specifically includes: Determine the start time of the actual complication, and determine the duration of the actual complication according to the start time and the start time of wound recovery of the burn patient; The key recovery time interval in which the duration is located is determined as a reference recovery time interval; if the complication predisposing index is a key abnormal wound surface index, the corresponding complication predisposing index is determined as a reference predisposing index; Calculating a fourth product of the first weight of each of the reference inducement indicators and the second weight of the corresponding reference recovery time interval; If the fourth product exceeds a preset fifth threshold, the corresponding reference inducement index is determined as a final inducement index, and the target burn recovery program is adjusted and optimized according to the final inducement index.

[0018] By adopting the above technical solution, the larger the fourth product is, the greater the possibility that the reference predisposing index will be abnormal when the duration of the burn patient is in the corresponding reference recovery time interval, and the more likely it is to induce actual complications. Finally, if the fourth product exceeds the preset fifth threshold, it means that the corresponding reference predisposing index is more likely to induce actual complications when it is abnormal, then the corresponding reference predisposing index is determined as the final predisposing index, and then the target burn recovery plan is adjusted and optimized in a targeted manner according to this final predisposing index.

[0019] In a second aspect of the present application, a burn wound dynamic monitoring system based on big data analysis is provided, which specifically includes: An information acquisition module is used to obtain a target portrait of a burn patient, a target burn type, and a target burn recovery plan; an indicator determination module, for determining at least one target wound indicator for currently monitoring the burn wound of the burn patient based on the actual recovery time of the burn patient, at least one key abnormal wound indicator of the burn wound of a historical burn patient, and a corresponding key recovery time interval, wherein the portrait of the historical burn patient is consistent with the target portrait, the burn type is consistent with the target burn type, and the burn recovery plan is consistent with the target burn recovery plan, the historical burn patient is a patient with complications of the burn wound, the key abnormal wound indicator is a burn wound indicator that is prone to abnormality, the key recovery time interval is a recovery time interval in which the recovery time is prone to be when the historical burn patient has the corresponding key abnormal wound indicator, and the burn wound indicator is an indicator reflecting the recovery of the burn wound; A dynamic monitoring module, configured to determine at least one actual abnormal wound surface index from each of the target wound surface indexes according to the actual index values of each of the target wound surface indexes, and determine a target complication that the burn patient is prone to develop according to each of the actual abnormal wound surface indexes; An abnormal warning module, configured to send a warning message to a doctor terminal for each of the actual abnormal wound surface indexes and the target complication.

[0020] By adopting the above technical solution, after the information acquisition module obtains the target portrait, the target burn type, and the target burn recovery plan, the index determination module determines at least one target wound surface index for monitoring the burn wound of the burn patient currently. Then, the dynamic monitoring module determines the target complication that the burn patient is prone to develop according to each actual abnormal wound surface index. Finally, the abnormal warning module sends a warning message to the doctor terminal for each actual abnormal wound surface index and the target complication.

[0021] In a third aspect of the present application, a computer-readable storage medium is provided. A computer program is stored in the computer-readable storage medium. When the computer program is loaded and executed by a processor, the method steps described in any one of the first aspect are executed.

[0022] In a fourth aspect of the present application, an electronic device is provided, specifically including: A processor, a memory, and a computer program stored in the memory and capable of running on the processor. The processor is configured to load and execute the computer program stored in the memory, so that the electronic device executes the method described in any one of the first aspect.

[0023] In summary, the present application includes at least one of the following beneficial technical effects: Based on the actual recovery duration of the burn wound, the key abnormal wound surface indexes, and the corresponding key recovery duration intervals, analyze and determine the likelihood of each key abnormal wound surface index being abnormal at the current time, and then determine the target wound surface indexes that need to be monitored currently, so as to realize targeted monitoring of the burn wound, and then it is easy to find the abnormal wound surface indexes in a relatively timely manner, improving the real-time performance of monitoring during the recovery of the burn wound. Further, based on the actual index values of each target wound surface index at the current time, screen out the actual abnormal wound surface indexes that are abnormal, and then combine each existing actual abnormal wound surface index to analyze and determine the target complications that are likely to induce the burn patient at the current time. Finally, send a corresponding warning message to the doctor terminal to remind the doctor to check the situation of the actual abnormal wound surface indexes of the burn wound and the occurrence of the target complications in a timely manner, thereby further improving the real-time performance of monitoring during the recovery process of the burn wound. Description of the Drawings

[0024] Figure 1It is a schematic flowchart of a method for dynamic monitoring of burn wounds based on big data analysis provided by an embodiment of the present application; Figure 2 It is a schematic structural diagram of a system for dynamic monitoring of burn wounds based on big data analysis provided by an embodiment of the present application; Figure 3 It is a schematic structural diagram of another system for dynamic monitoring of burn wounds based on big data analysis provided by an embodiment of the present application.

[0025] Explanation of reference numerals: 11, information acquisition module; 12, index determination module; 13, dynamic monitoring module; 14, abnormal warning module; 15, scheme adjustment module. Detailed implementation manners

[0026] In order to enable those skilled in the art to better understand the technical solutions in this specification, the technical solutions in the embodiments of this specification will be clearly and completely described below in conjunction with the accompanying drawings in the embodiments of this specification. Obviously, the described embodiments are only a part of the embodiments of the present application, rather than all the embodiments.

[0027] In the description of the embodiments of the present application, words such as "exemplary", "for example" or "for illustration" are used to represent examples, illustrations or explanations. Any embodiment or design solution described as "exemplary", "for example" or "for illustration" in the embodiments of the present application should not be construed as being more preferred or having more advantages than other embodiments or design solutions. Exactly speaking, the use of words such as "exemplary", "for example" or "for illustration" is intended to present relevant concepts in a specific manner.

[0028] In the description of the embodiments of the present application, the term "and / or" only describes the association relationship of associated objects and indicates that there can be three relationships. For example, A and / or B can represent: A exists alone, B exists alone, and A and B exist simultaneously. In addition, unless otherwise specified, the meaning of the term "plurality" refers to two or more. For example, a plurality of systems refers to two or more systems, and a plurality of screen terminals refers to two or more screen terminals. In addition, the terms "first" and "second" are only used for descriptive purposes and cannot be understood as indicating or implying relative importance or implicitly indicating the technical features indicated. Thus, the features defined with "first" and "second" may explicitly or implicitly include one or more of such features. The terms "include", "comprise", "have" and their variants all mean "including but not limited to", unless otherwise particularly emphasized in other ways.

[0029] See Figure 1, The flowchart of a method for dynamically monitoring burn wounds based on big data analysis disclosed in an embodiment of this application can be implemented relying on a computer program or run on a system for dynamically monitoring burn wounds based on big data analysis and based on the von Neumann architecture. This computer program can be integrated into an application or run as an independent tool application, and specifically includes: S101: Obtain the target portrait, target burn type, and target burn recovery plan of the burn patient.

[0030] Specifically, in the embodiment of this application, the burn patient is a patient with a burn wound who is undergoing recovery. The target portrait is a comprehensive description and presentation of various aspects of characteristics and information that affect the recovery of the burn wound of the burn patient. The target burn type is a classification of the burn wound of the burn patient according to different factors such as the cause, depth, area, and characteristics of the wound. The target burn recovery plan is a plan for recovering the burn wound of the burn patient.

[0031] Furthermore, a feasible way to obtain the target portrait of a burn patient: Query the basic information and health status information of this burn patient through the hospital information system. The basic information includes but is not limited to age, gender, etc. The health status information includes but is not limited to past medical history information and underlying disease information. Then input the basic information and health status information into a preset portrait prediction model to obtain the target portrait. The portrait prediction model can be a trained recurrent neural network model or a decision tree model. The training process is briefly described as: Training the model with samples of basic information and health status information marked with the correct portrait until the model converges. In addition, a feasible way to obtain the target burn type is: Obtain the relevant information of the burn wound of this burn patient through the hospital's electronic medical record system and input it into the type prediction model to obtain the target burn type of the burn patient. The type prediction model is a trained recurrent neural network model or a random forest model. The training process can refer to the training process of the portrait prediction model, which is prior art and will not be elaborated here. Finally, the target burn recovery plan of this burn patient can be obtained through the hospital's electronic medical record system.

[0032] S102: Determine at least one target wound index for currently monitoring the burn wound of the burn patient based on the actual recovery duration of the burn patient, at least one key abnormal wound index of the burn wounds of historical burn patients, and the corresponding key recovery duration intervals.

[0033] Specifically, the portrait of the historical burn patient is consistent with the target portrait, the burn type is consistent with the target burn type, and the burn recovery plan is consistent with the target burn recovery plan. The historical burn patient is a patient who has had complications in the burn wound surface. The key abnormal wound surface indicators are the burn wound surface indicators that are prone to abnormalities. The key recovery duration interval is the recovery duration interval in which the recovery duration is likely to be when the historical burn patient has the corresponding key abnormal wound surface indicators. The burn wound surface indicator is an indicator that reflects the recovery of the burn wound surface. Among them, the complications can be wound infection, scar hyperplasia, etc. Exemplarily, the burn wound surface indicators include, but are not limited to, indicators such as wound color, wound size, exudate, blood routine, etc. Further, the duration from the completion of the treatment of the burn wound surface of the burn patient to the current time is statistically calculated, that is, the actual recovery duration. Then, from the historical abnormal records of the wound surface indicators, the historical abnormal wound surface indicators that have occurred in the historical burn patients are screened out, and the first occurrence times of the historical abnormal wound surface indicators that were abnormal before the complications occurred in the historical burn patients are statistically obtained. The historical abnormal wound surface indicators are the burn wound surface indicators that have been abnormal in the historical burn patients. Among them, the historical abnormal records include, but are not limited to, information such as the wound surface indicators that have been abnormal in the burn wound surface recovery of different patients, the time nodes of occurrence, and the complications that have occurred. The larger the first occurrence times, the more likely the corresponding historical abnormal wound surface indicators are to be abnormal before the historical burn patients have complications. Then, in the order from largest to smallest of the first occurrence times, the first number of historical abnormal wound surface indicators is selected from each historical abnormal wound surface indicator and determined as the key abnormal wound surface indicators. Further, based on the above historical abnormal records, the recovery duration interval in which the recovery duration of the historical burn patient is when a single key abnormal wound surface indicator is abnormal is obtained, and the second occurrence times of each recovery duration interval are statistically calculated. The larger the second occurrence times, the more likely the key abnormal wound surface indicators are to be abnormal when the recovery duration of the burn patient is within the corresponding recovery duration interval. Then, in the order from largest to smallest of the second occurrence times, the second number of recovery duration intervals is selected from each recovery duration interval and determined as the key recovery duration interval corresponding to the key abnormal wound surface indicator.

[0034] Further, the first weight of each key abnormal wound surface indicator is determined. The first weight is the ratio of the first occurrence times of each key abnormal wound surface indicator to the sum of the first occurrence times of all key abnormal wound surface indicators. Then, the second weight of the key recovery duration interval corresponding to each key abnormal wound surface indicator is determined. The second weight is the ratio of the second occurrence times of a single key recovery duration interval corresponding to the key abnormal wound surface indicator to the sum of the second occurrence times of all corresponding key recovery duration intervals.

[0035] Further, determine the key recovery duration interval in which the actual recovery duration of the burn patient is located as the important recovery duration interval. If there is an important recovery duration interval among the key recovery duration intervals corresponding to the key abnormal wound surface indicators, then determine the key abnormal wound surface indicator as an important abnormal wound surface indicator. Then, calculate the first product of the first weight of each important abnormal wound surface indicator and the second weight of the corresponding important recovery duration interval. The larger the first product, the greater the possibility that the burn patient will induce complications when the important abnormal wound surface indicator is abnormal at the actual recovery duration. Then, sum up the respective first products to obtain the sum of the first products. The larger the sum of the first products, the greater the overall possibility that the current wound surface indicators of the burn patient are abnormal. If the sum of the first products exceeds a preset first threshold, it indicates that the overall possibility that the current wound surface indicators of the burn patient are abnormal is relatively large. Then, determine to conduct targeted monitoring on the wound surface indicators of the burn patient's burn wound, pay timely attention to the dynamic changes of the wound surface, and avoid the occurrence of complications. Finally, compare each first product with a preset second threshold. If the first product exceeds the second threshold, it indicates that the possibility that the burn patient will induce complications when the corresponding important abnormal wound surface indicator is abnormal at the actual recovery duration is relatively large. Then, determine the important abnormal wound surface indicator corresponding to the first product as the target wound surface indicator and use it as the wound surface indicator that needs to be monitored currently, so as to better monitor and warn of the complications of the burn wound. In other embodiments, subtract the actual recovery duration from the maximum value of the important recovery duration interval corresponding to a single target wound surface indicator to obtain the monitoring duration for monitoring the target wound surface indicator, so as to effectively monitor the target wound surface indicator.

[0036] S103: According to the actual indicator values of the respective target wound surface indicators, determine at least one actual abnormal wound surface indicator from the respective target wound surface indicators, and determine the target complications that the burn patient is prone to develop according to the respective actual abnormal wound surface indicators.

[0037] Specifically, after the target wound surface indicators are determined, the current actual indicator values of each target wound surface indicator are detected. Exemplarily, if the target wound surface indicator is a blood routine indicator, then the current blood routine data of the burn patient is determined as the actual indicator value. Then, it is judged whether the actual indicator value of a single target wound surface indicator is within the corresponding normal range of the indicator value. If it is not, it indicates that the current target wound surface indicator of the burn patient is abnormal, and then it is determined as an actual abnormal wound surface indicator. Further, based on each actual abnormal wound surface indicator, the target complications that the burn patient is likely to develop currently and in the future are determined. A feasible determination method is as follows: Based on the above historical abnormal records, obtain the third occurrence times of each historical complication that occurred when a single key abnormal wound surface indicator of the historical burn patient was abnormal. The larger the third occurrence times, the greater the possibility that the historical burn patient will develop the corresponding historical complication subsequently when the key abnormal wound surface indicator is abnormal. Then, select the third number of historical complications from each historical complication in descending order of the third occurrence times and determine them as the key complications corresponding to the key abnormal wound surface indicator, that is, the more likely complications. Further, determine the third weight of the key complication corresponding to each key abnormal wound surface indicator. The third weight is the ratio of the third occurrence times of a single key complication corresponding to the key abnormal wound surface indicator to the sum of the third occurrence times of all corresponding key complications.

[0038] If this actual abnormal wound surface indicator is a key abnormal wound surface indicator, then determine the corresponding actual abnormal wound surface indicator as a reference wound surface indicator. Then calculate the second product of the first weight of each reference wound surface indicator and the third weight of each corresponding key complication. The larger the second product, the greater the possibility of inducing the corresponding key complication when the reference wound surface indicator is abnormal. Then sum up the second products corresponding to the same key complication to obtain the sum of the second products. The larger the sum of the second products, the greater the possibility of inducing the corresponding key complication when the burn patient has an abnormal reference wound surface indicator. At the same time, compare the sum of the second products with a preset third threshold. If the sum of the second products exceeds the third threshold, it indicates that the possibility of inducing the corresponding key complication is relatively large. Then determine the corresponding key complication as the target complication that the burn patient is likely to develop, and it is necessary to conduct key monitoring from now on to reduce the risk of the burn patient developing complications. In other embodiments, sum up each second product to obtain the sum of the weight products of the corresponding reference wound surface indicator. The larger the sum of the weight products, the greater the possibility of the burn patient developing complications when the reference wound surface indicator is abnormal. If the sum of the weight products is greater than the preset threshold, it indicates that the possibility of the burn patient developing complications is greater when the reference wound surface indicator is abnormal, and determine the reference wound surface indicator as the final wound surface indicator. When the burn patient actually develops complications, verify that the normal range of the indicator value corresponding to this final wound surface indicator is correct.

[0039] S104: Send a warning message to the doctor terminal for each actual abnormal wound surface index and target complication.

[0040] Specifically, after determining the target complications that burn patients are prone to, send a warning message to the doctor terminal for the actual abnormal wound surface index and target complications, so as to timely remind the doctor to check and handle the burn wound based on the actual abnormal wound surface index that appears abnormal. At the same time, timely remind the doctor to check whether the burn patient has the target complication. If not, then prevent the occurrence of subsequent complications in advance based on the actual abnormal wound surface index; if so, then timely handle the complication. It should be noted that the doctor terminal can be a smart phone or a personal computer.

[0041] In other embodiments, after sending a warning message to the doctor terminal, a feasible way to obtain the actual complications that the burn patient has is: after the doctor checks the recovery of the burn wound, upload the actual complications of the burn patient through the doctor terminal. Further, if there is an actual complication among the various key complications corresponding to the key abnormal wound surface indexes, then determine the corresponding key abnormal wound surface index as a suspected wound surface index, that is, the wound surface index that may induce this actual complication. Then calculate the third product of the first weight of each suspected wound surface index and the third weight of the corresponding actual complication. The larger the third product, the greater the possibility that the actual complication will be induced when the suspected wound surface index appears abnormal. If the third product exceeds a preset fourth threshold, it means that the possibility of inducing this actual complication when the suspected wound surface index appears abnormal is relatively large. Then determine the corresponding suspected wound surface index as a complication inducing index, that is, the wound surface index that is likely to induce this actual complication. Further, based on these various complication inducing indexes, adjust and optimize the target burn recovery plan, so as to improve the recovery effect of the burn wound of the burn patient. A feasible way to adjust and optimize is: determine the start time of this actual complication, specifically, the doctor analyzes and evaluates this actual complication to obtain the time node when the actual complication starts to occur and uploads it through the doctor terminal. Then subtract the start time of the wound surface recovery of the burn patient from this start time to obtain the duration of this actual complication. Among them, the start time of the wound surface recovery can be understood as the time when the burn wound treatment of the burn patient is completed.

[0042] Further, determine the key recovery duration interval in which this duration is located as the reference recovery duration interval. If the complication inducement index is a key abnormal wound surface index, then determine the corresponding complication inducement index as the reference inducement index. Then calculate the fourth product of the first weight of each reference inducement index and the second weight of the corresponding reference recovery duration interval. The larger the fourth product, when the duration of the burn patient is within the corresponding reference recovery duration interval, the greater the possibility that the reference inducement index is abnormal, and the more likely it is to induce actual complications. Finally, if the fourth product exceeds the preset fifth threshold, it indicates that the corresponding reference inducement index is more likely to induce actual complications when it is abnormal. Then determine the corresponding reference inducement index as the final inducement index, so as to screen out relatively reasonable complication inducement indices that induce actual complications from each complication inducement index, and then, based on this final inducement index, make targeted adjustments and optimizations to the target burn recovery plan. In another embodiment, determine the key recovery duration interval with the largest second weight among the key recovery duration intervals corresponding to the final inducement index as the final duration interval, that is, the interval in which the recovery duration is most likely to be when the final inducement index is abnormal. Then subtract the minimum value of the final time interval from the start time of the actual complication to obtain the inducement interval duration corresponding to the final inducement index. Establish a mapping relationship between this final inducement index and the corresponding inducement interval duration. Subsequently, once this final inducement index is abnormal, check whether the actual complication appears on the burn wound surface after the corresponding inducement interval duration, so as to monitor the appearance of the actual complication more accurately.

[0043] The implementation principle of a burn wound dynamic monitoring method based on big data analysis in an embodiment of the present application is as follows: Based on the actual recovery duration of the burn wound, key abnormal wound surface indices, and the corresponding key recovery duration intervals, analyze and determine the likelihood of each key abnormal wound surface index being abnormal at the current time, and then determine the target wound surface index that needs to be monitored currently, so as to achieve targeted monitoring of the burn wound, and then it is easier to detect the abnormal wound surface index in a relatively timely manner, improving the real-time performance of monitoring during the recovery of the burn wound. Further, based on the actual index values of each target wound surface index at the current time, screen out the actually abnormal wound surface indices that are abnormal, and then, in combination with each existing actually abnormal wound surface index, analyze and determine the target complications that are likely to occur in the burn patient at the current time. Finally, send corresponding warning information to the doctor terminal to remind the doctor to check the situation of the actually abnormal wound surface index of the burn wound and the occurrence of the target complications in a timely manner, so as to further improve the real-time performance of monitoring during the recovery process of the burn wound.

[0044] The following is an embodiment of the system of the present application, which can be used to execute the method embodiment of the present application. For the details not disclosed in the system embodiment of the present application, please refer to the method embodiment of the present application.

[0045] Please refer to Figure 2 , which is a schematic structural diagram of the burn wound dynamic monitoring system provided by the embodiment of the present application. The burn wound dynamic monitoring system applied based on big data analysis can be implemented as all or part of the system through software, hardware, or a combination of both. The system includes an information acquisition module 11, an index determination module 12, a dynamic monitoring module 13, and an abnormal warning module 14.

[0046] The information acquisition module 11 is used to acquire the target portrait, target burn type, and target burn recovery plan of the burn patient; The index determination module 12 is used to determine at least one target wound index for monitoring the burn wound of the burn patient currently based on the actual recovery duration of the burn patient, at least one key abnormal wound index of the burn wound of historical burn patients, and the corresponding key recovery duration interval. The portrait of the historical burn patient is consistent with the target portrait, the burn type is consistent with the target burn type, and the burn recovery plan is consistent with the target burn recovery plan. The historical burn patient is a patient with complications in the burn wound. The key abnormal wound index is a burn wound index that is prone to abnormalities. The key recovery duration interval is the recovery duration interval in which the recovery duration is prone to be when the corresponding key abnormal wound index appears in the historical burn patient. The burn wound index is an index that reflects the recovery situation of the burn wound; The dynamic monitoring module 13 is used to determine at least one actual abnormal wound index from each target wound index according to the actual index value of each target wound index, and determine the target complications that the burn patient is prone to according to each actual abnormal wound index; The abnormal warning module 14 is used to send warning information to the doctor terminal for each actual abnormal wound index and target complication.

[0047] Optionally, the index determination module 12 is specifically used for: Obtain the first occurrence times of the historical abnormal wound indexes that are abnormal before the historical burn patient develops complications, and select the first number of historical abnormal wound indexes from each historical abnormal wound index in descending order of the first occurrence times and determine them as the key abnormal wound indexes; Obtain the recovery duration interval in which the recovery duration is located when a single key abnormal wound index is abnormal for the historical burn patient, and count the second occurrence times of each recovery duration interval; Select the second number of recovery duration intervals from each recovery duration interval in descending order of the second occurrence times and determine them as the key recovery duration intervals corresponding to a single key abnormal wound index; Determine the first weight of each key abnormal wound surface index, and determine the second weight of the corresponding key recovery duration interval for each key abnormal wound surface index. The first weight is the ratio of the first occurrence times of each key abnormal wound surface index to the sum of the first occurrence times of all key abnormal wound surface indexes. The second weight is the ratio of the second occurrence times of a single key recovery duration interval corresponding to the key abnormal wound surface index to the sum of the second occurrence times of all corresponding key recovery duration intervals. According to the actual recovery duration of the burn patient, the first weight, and the corresponding second weight, determine at least one target wound surface index for monitoring the burn wound of the burn patient currently.

[0048] Optionally, the index determination module 12 is specifically configured to: Determine the key recovery duration interval where the actual recovery duration of the burn patient is located as the important recovery duration interval. If there is an important recovery duration interval among the key recovery duration intervals corresponding to the key abnormal wound surface index, then determine the corresponding key abnormal wound surface index as the important abnormal wound surface index. Calculate the first product of the first weight of each important abnormal wound surface index and the second weight of the corresponding important recovery duration interval, and sum up the first products to obtain the sum of the first products. If the sum of the first products exceeds the preset first threshold, then determine to monitor the burn wound of the burn patient currently, and determine the important abnormal wound surface index corresponding to the first product that exceeds the preset second threshold as the target wound surface index.

[0049] Optionally, the dynamic monitoring module 13 is specifically configured to: Obtain the third occurrence times of each historical complication that occurred when a single key abnormal wound surface index was abnormal in historical burn patients. According to the order from large to small of the third occurrence times, select the third number of historical complications from each historical complication and determine them as the key complications corresponding to the single key abnormal wound surface index. Determine the third weight of the key complications corresponding to each key abnormal wound surface index. The third weight is the ratio of the third occurrence times of a single key complication corresponding to the key abnormal wound surface index to the sum of the third occurrence times of all corresponding key complications. According to each actual abnormal wound surface index, the first weight, and the corresponding third weight, determine the target complications that the burn patient is prone to.

[0050] Optionally, the dynamic monitoring module 13 is specifically configured to: If the actual abnormal wound surface index is a key abnormal wound surface index, then determine the corresponding actual abnormal wound surface index as the reference wound surface index, and calculate the second product of the first weight of each reference wound surface index and the third weight of the corresponding key complications. Sum the second products corresponding to the same key complication to obtain the sum of the corresponding second products, and compare the sum of the second products with a preset third threshold; If the sum of the second products exceeds the third threshold, determine the corresponding key complication as the target complication that a burn patient is prone to develop.

[0051] Optionally, as Figure 3 shown, the system further includes a scheme adjustment module 15, specifically used for: Obtain the actual complications that occur in the burn patient; If there are actual complications among the key complications corresponding to the key abnormal wound surface indicators, determine the corresponding key abnormal wound surface indicators as suspected wound surface indicators, and calculate the third product of the first weight of each suspected wound surface indicator and the third weight of the corresponding actual complication; Compare the third product with a preset fourth threshold. If the third product exceeds the fourth threshold, determine the corresponding suspected wound surface indicator as a complication inducing factor indicator; Based on each complication inducing factor indicator, adjust and optimize the target burn recovery plan.

[0052] Optionally, the scheme adjustment module 15 is specifically used for: Determine the start time of the actual complication, and based on the start time and the start time of the wound surface recovery of the burn patient, determine the duration of the actual complication; Determine the key recovery duration interval where the duration is located as the reference recovery duration interval. If the complication inducing factor indicator is a key abnormal wound surface indicator, determine the corresponding complication inducing factor indicator as a reference inducing factor indicator; Calculate the fourth product of the first weight of each reference inducing factor indicator and the second weight of the corresponding reference recovery duration interval; If the fourth product exceeds a preset fifth threshold, determine the corresponding reference inducing factor indicator as the final inducing factor indicator, and based on the final inducing factor indicator, adjust and optimize the target burn recovery plan.

[0053] It should be noted that when the above-mentioned burn wound dynamic monitoring system based on big data analysis executes the burn wound dynamic monitoring method based on big data analysis, only the above-mentioned division of each functional module is used for illustration. In actual application, the above functions can be allocated to different functional modules according to needs, that is, the internal structure of the device is divided into different functional modules to complete all or part of the functions described above. In addition, the above-mentioned burn wound dynamic monitoring system based on big data analysis and the embodiment of the burn wound dynamic monitoring method based on big data analysis belong to the same concept. The implementation process is detailed in the method embodiment and will not be repeated here.

[0054] An embodiment of the present application also discloses a computer-readable storage medium. The computer-readable storage medium stores a computer program. When the computer program is executed by a processor, a method for dynamically monitoring burn wounds based on big data analysis in the above embodiment is adopted.

[0055] Among them, the computer program can be stored in a computer-readable medium. The computer program includes computer program code, and the computer program code can be in the form of source code, object code, executable file, or some middleware form, etc. The computer-readable medium includes any entity or device capable of carrying the computer program code, recording medium, USB flash drive, mobile hard disk, magnetic disk, optical disc, computer memory, read-only memory (ROM), random access memory (RAM), electrical carrier signal, telecommunication signal, and software distribution medium, etc. It should be noted that the computer-readable medium includes but is not limited to the above components.

[0056] Among them, through this computer-readable storage medium, a method for dynamically monitoring burn wounds based on big data analysis in the above embodiment is stored in the computer-readable storage medium, and is loaded and executed on the processor to facilitate the storage and application of the above method.

[0057] An embodiment of the present application also discloses an electronic device. A computer program is stored in the computer-readable storage medium. When the computer program is loaded and executed by the processor, a method for dynamically monitoring burn wounds based on big data analysis in the above embodiment is adopted.

[0058] Among them, the electronic device can be a desktop computer, a laptop computer, or a cloud server, etc. The electronic device includes but is not limited to a processor and a memory. For example, the electronic device can also include input / output devices, network access devices, and a bus, etc.

[0059] Among them, the processor can adopt a central processing unit (CPU). Of course, according to the actual usage situation, other general-purpose processors, digital signal processors (DSPs), application-specific integrated circuits (ASICs), field-programmable gate arrays (FPGAs), or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components, etc. can also be adopted. The general-purpose processor can adopt a microprocessor or any conventional processor, etc. The present application does not make any restrictions on this.

[0060] Among them, the memory can be an internal storage unit of the electronic device, for example, the hard disk or memory of the electronic device, or can be an external storage device of the electronic device, for example, a plug-in hard disk, a smart media card (SMC), a secure digital card (SD), or a flash card (FC) equipped on the electronic device, etc. Moreover, the memory can also be a combination of the internal storage unit and the external storage device of the electronic device. The memory is used to store computer programs and other programs and data required by the electronic device. The memory can also be used to temporarily store the data that has been output or will be output. The present application does not limit this.

[0061] Among them, through this electronic device, a method for dynamically monitoring burn wounds based on big data analysis in the above embodiment is stored in the memory of the electronic device, and is loaded and executed on the processor of the electronic device for convenient use.

[0062] The above are only exemplary embodiments of the present disclosure, and the scope of the present disclosure cannot be limited thereby. That is, any equivalent changes and modifications made according to the teachings of the present disclosure still fall within the scope covered by the present disclosure. The present application aims to cover any variations, uses, or adaptive changes of the present disclosure, and these variations, uses, or adaptive changes follow the general principles of the present disclosure and include the common general knowledge or conventional technical means in the technical field not recorded in the present disclosure. The description and the embodiments are only regarded as exemplary, and the scope and spirit of the present disclosure are defined by the claims.

Claims

1. A dynamic monitoring method for burn wounds based on big data analysis, characterized in that, The method includes: Obtaining a target portrait, a target burn type, and a target burn recovery plan of a burn patient; Based on the actual recovery duration of the burn patient, at least one key abnormal wound surface index of the burn wound surface of historical burn patients, and the corresponding key recovery duration interval, determining at least one target wound surface index for monitoring the burn wound surface of the burn patient currently. The portraits of the historical burn patients are consistent with the target portrait, the burn types are consistent with the target burn type, and the burn recovery plans are consistent with the target burn recovery plan. The historical burn patients are those who have had complications in the burn wound surface. The key abnormal wound surface index is a burn wound surface index that is prone to abnormalities. The key recovery duration interval is the recovery duration interval in which the recovery duration is prone to be when the corresponding key abnormal wound surface index appears in historical burn patients. The burn wound surface index is an index reflecting the recovery of the burn wound surface. Among them, the determining of at least one target wound surface index for monitoring the burn wound surface of the burn patient currently based on the actual recovery duration of the burn patient, at least one key abnormal wound surface index of the burn wound surface of historical burn patients, and the corresponding key recovery duration interval specifically includes: Obtaining the first occurrence times of the historical abnormal wound surface indexes that appeared abnormally before the historical burn patients had complications, and selecting the first number of historical abnormal wound surface indexes from each of the historical abnormal wound surface indexes in descending order of the first occurrence times and determining them as key abnormal wound surface indexes; Obtaining the recovery duration interval in which the recovery duration is located when a single key abnormal wound surface index appears abnormally in historical burn patients, and counting the second occurrence times of each recovery duration interval; Selecting the second number of recovery duration intervals from each of the recovery duration intervals in descending order of the second occurrence times and determining them as the key recovery duration intervals corresponding to a single key abnormal wound surface index; Determining the first weight of each key abnormal wound surface index and the second weight of the key recovery duration interval corresponding to each key abnormal wound surface index. The first weight is the ratio of the first occurrence times of each key abnormal wound surface index to the sum of the first occurrence times of all key abnormal wound surface indexes. The second weight is the ratio of the second occurrence times of the single key recovery duration interval corresponding to the key abnormal wound surface index to the sum of the second occurrence times of all corresponding key recovery duration intervals; Determining at least one target wound surface index for monitoring the burn wound surface of the burn patient currently according to the actual recovery duration of the burn patient, the first weight, and the corresponding second weight, including: determining the key recovery duration interval in which the actual recovery duration of the burn patient is located as the important recovery duration interval. If there is the important recovery duration interval among the key recovery duration intervals corresponding to the key abnormal wound surface index, then determining the corresponding key abnormal wound surface index as the important abnormal wound surface index; Calculate the first product of the first weight of each of the important abnormal wound surface indicators and the second weight of the corresponding important recovery duration interval, and sum up the first products to obtain the sum of the first products; If the sum of the first products exceeds a preset first threshold, it is determined that the burn wound surface of the burn patient is currently being monitored, and the important abnormal wound surface indicators corresponding to the first products that exceed the preset second threshold are determined as target wound surface indicators; According to the actual indicator values of the target wound surface indicators, at least one actual abnormal wound surface indicator is determined from the target wound surface indicators, and based on the actual abnormal wound surface indicators, the target complications that the burn patient is prone to are determined; Warning messages are sent to the doctor terminal for each of the actual abnormal wound surface indicators and the target complications.

2. The dynamic monitoring method for burn wounds based on big data analysis according to claim 1, characterized in that, The determining the target complications that the burn patient is prone to according to the actual abnormal wound surface indicators specifically includes: Obtain the third occurrence times of each historical complication that occurred when a single one of the key abnormal wound surface indicators of historical burn patients was abnormal. Select the third number of historical complications from the historical complications in descending order of the third occurrence times and determine them as the key complications corresponding to the single key abnormal wound surface indicator; Determine the third weight of the key complications corresponding to each of the key abnormal wound surface indicators. The third weight is the ratio of the third occurrence times of a single key complication corresponding to the key abnormal wound surface indicator to the sum of the third occurrence times of all the corresponding key complications; Based on the actual abnormal wound surface indicators, the first weight, and the corresponding third weight, determine the target complications that the burn patient is prone to.

3. The dynamic monitoring method for burn wounds based on big data analysis according to claim 2, wherein The determining the target complications that the burn patient is prone to according to the actual abnormal wound surface indicators, the first weight, and the corresponding third weight specifically includes: If the actual abnormal wound surface indicator is a key abnormal wound surface indicator, determine the corresponding actual abnormal wound surface indicator as a reference wound surface indicator, and calculate the second product of the first weight of each reference wound surface indicator and the third weight of the corresponding key complications; Sum up the second products corresponding to the same key complication to obtain the sum of the corresponding second products, and compare the sum of the second products with a preset third threshold; If the sum of the second products exceeds the third threshold, determine the corresponding key complication as the target complication that the burn patient is prone to.

4. The dynamic monitoring method for burn wounds based on big data analysis according to claim 2, characterized in that, The method further includes: Obtain the actual complications that the burn patient has; If the actual complication exists among the key complications corresponding to the key abnormal wound surface indicator, determine the corresponding key abnormal wound surface indicator as a suspected wound surface indicator, and calculate the third product of the first weight of each suspected wound surface indicator and the third weight of the corresponding actual complication; Compare the third product with a preset fourth threshold. If the third product exceeds the fourth threshold, determine the corresponding suspected wound surface indicator as a complication inducing factor indicator; Based on the complication inducing factor indicators, adjust and optimize the target burn recovery plan.

5. The dynamic monitoring method for burn wounds based on big data analysis according to claim 4, wherein Based on each of the complication incentive indicators, adjusting and optimizing the target burn recovery plan specifically includes: Determining the start time of the actual complication, and determining the duration of the actual complication based on the start time and the start time of the wound surface recovery of the burn patient; Determining the key recovery duration interval in which the duration is located as the reference recovery duration interval. If the complication incentive indicator is a key abnormal wound surface indicator, determining the corresponding complication incentive indicator as the reference incentive indicator; Calculating the fourth product of the first weight of each of the reference incentive indicators and the second weight of the corresponding reference recovery duration interval; If the fourth product exceeds a preset fifth threshold, determining the corresponding reference incentive indicator as the final incentive indicator, and adjusting and optimizing the target burn recovery plan according to the final incentive indicator.

6. A burn wound dynamic monitoring system based on big data analysis, which is used to implement the burn wound dynamic monitoring method based on big data analysis according to any one of claims 1 to 5, and is characterized in that, Including: An information acquisition module (11) for acquiring the target portrait, target burn type and target burn recovery plan of a burn patient; An indicator determination module (12) for determining at least one target wound surface indicator for monitoring the burn wound surface of the burn patient currently based on the actual recovery duration of the burn patient, at least one key abnormal wound surface indicator of the burn wound surface of a historical burn patient and the corresponding key recovery duration interval, wherein the portrait of the historical burn patient is consistent with the target portrait, the burn type is consistent with the target burn type, and the burn recovery plan is consistent with the target burn recovery plan. The historical burn patient is a patient with complications in the burn wound surface. The key abnormal wound surface indicator is a burn wound surface indicator that is prone to abnormalities. The key recovery duration interval is the recovery duration interval in which the recovery duration is prone to be when the historical burn patient has the corresponding key abnormal wound surface indicator. The burn wound surface indicator is an indicator reflecting the recovery of the burn wound surface; A dynamic monitoring module (13) for determining at least one actual abnormal wound surface indicator from each of the target wound surface indicators according to the actual indicator values of each of the target wound surface indicators, and determining the target complications that the burn patient is prone to according to each of the actual abnormal wound surface indicators; An abnormal warning module (14) for sending a warning message to the doctor terminal for each of the actual abnormal wound surface indicators and the target complications.

7. A computer-readable storage medium storing a computer program therein, characterized in that, When the computer program is loaded and executed by a processor, the method described in any one of claims 1-5 is adopted.

8. An electronic device, comprising a memory, a processor, and a computer program stored in the memory and capable of running on the processor, characterized in that, When the processor loads and executes the computer program, the method described in any one of claims 1-5 is adopted.

Images