Intelligent surgical patient remote monitoring and rehabilitation monitoring system

Abstract

The invention relates to the technical field of medical rehabilitation monitoring, in particular to an intelligent surgical patient remote monitoring and rehabilitation monitoring system which comprises a remote rehabilitation monitoring center, an information timeliness unit, a rehabilitation analysis unit, a recovery evaluation unit, a dynamic recovery unit and a rear-end response unit. Analysis is performed preliminarily from the perspective of data transmission between doctors and patients, the influence of information circulation on rehabilitation of the patients is reduced, analysis is performed from the perspective of remote monitoring states in an information progressive mode, whether the physical conditions of the patients are stable or not is visually known, response can be made in time, the monitoring effect of the patients is improved, and the patient recovery rate is increased. Meanwhile, analysis is conducted from the perspective of patient rehabilitation, so that problems in patient rehabilitation can be found in time, targeted and reasonable management is conducted, rehabilitation progress is further analyzed in an information progressive mode, rehabilitation schemes of patients are dynamically adjusted according to information feedback conditions, and the fitness degree of the rehabilitation schemes of the patients is improved.

Description

Technical Field

[0001] The present invention relates to the technical field of medical rehabilitation monitoring, and particularly to an intelligent surgical patient remote monitoring and rehabilitation monitoring system. Background Art

[0002] With the aggravation of population aging and the popularization of surgical operations, the need for remote monitoring and rehabilitation management of postoperative patients is becoming increasingly urgent. The traditional in-hospital rehabilitation model faces problems such as tight medical resources, high hospitalization costs for patients, and lack of professional guidance for home rehabilitation. The intelligent remote monitoring system can break through the time and space limitations by integrating Internet of Things, big data, and artificial intelligence technologies, realize real-time collection and analysis of key indicators such as the vital signs, wound status, and motor function of postoperative patients, provide accurate rehabilitation intervention basis for clinical practice, reduce the frequency of patients' round trips to the hospital at the same time, and relieve the pressure on medical resources. However, in the prior art, it is difficult to analyze the timeliness from the perspective of data transmission between doctors and patients, which further leads to an increased risk of abnormal information circulation between doctors and patients, is not conducive to the rehabilitation supervision of patients, and it is also difficult to analyze the problems existing in the rehabilitation progress of patients, resulting in a slow rehabilitation progress of patients, and it is difficult to dynamically adjust the rehabilitation plan according to the rehabilitation progress of patients, resulting in a low fitting degree of the patient's rehabilitation plan. In view of the above technical defects, a solution is proposed now. Summary of the Invention

[0003] The purpose of the present invention is to provide an intelligent surgical patient remote monitoring and rehabilitation monitoring system to solve the above-mentioned technical defects. The present invention initially analyzes from the perspective of data transmission between doctors and patients to reduce the impact of information circulation on patient rehabilitation, and analyzes from the perspective of remote monitoring status through the way of information progression to intuitively understand whether the patient's physical condition is stable, so as to make timely responses to improve the monitoring effect of patients. At the same time, it analyzes from the perspective of patient rehabilitation to timely discover the problems in patient rehabilitation, and then conducts targeted and reasonable management, and further analyzes the rehabilitation progress through the way of information progression to dynamically adjust the patient's rehabilitation plan according to the information feedback, so as to improve the fitting degree of the patient's rehabilitation plan and help improve the patient's rehabilitation progress.

[0004] The purpose of the present invention can be achieved through the following technical solutions: An intelligent surgical patient remote monitoring and rehabilitation monitoring system includes a remote rehabilitation monitoring center, an information timeliness unit, a rehabilitation analysis unit, a recovery evaluation unit, a dynamic recovery unit, and a backend response unit. The remote rehabilitation monitoring center is used to retrieve the data timeliness information of the medical staff side, and send the data timeliness information to the information timeliness unit for information interaction timeliness analysis. The obtained feedback timeliness and push timeliness are compared and analyzed to obtain a timeliness signal or a delay signal. When a timeliness signal is generated, the rehabilitation analysis unit is used to perform remote monitoring status stability analysis on the collected patient monitoring information, and perform discrimination processing on the obtained monitoring evaluation value to obtain a normal signal or a risk signal; The recovery evaluation unit is used to perform comprehensive evaluation and analysis on the rehabilitation information of the collected patients, perform determination processing on the obtained rehabilitation progress value, and obtain a recovery abnormal signal or a stable signal. When a stable signal is generated, the dynamic recovery unit is used to perform dynamic tracking and fitting regulation analysis on the rehabilitation progress value, compare and analyze the obtained rehabilitation deviation degree and rehabilitation influence factor, and obtain an available signal or a planning signal.

[0005] Preferably, the process of the information interaction timeliness analysis is as follows: The remote monitoring and rehabilitation period of the patient is collected, and the remote monitoring and rehabilitation period of the patient is set as the time threshold. The data timeliness information of the medical staff side within the time threshold is obtained. The data timeliness information includes feedback timeliness and push timeliness; The analysis process of the feedback timeliness is: the duration between the patient data collection moment and the medical staff data display moment is set as the real-time transmission duration. Based on the time series, a set A of the real-time transmission duration is constructed, and the discrete coefficient of the set A is set as the feedback timeliness; The feedback timeliness and push timeliness are compared and analyzed with the stored preset feedback timeliness threshold and preset push timeliness threshold to obtain a timeliness signal or a delay signal.

[0006] Preferably, the analysis process of the push timeliness is: the duration between the rehabilitation plan push moment of the medical staff side and the patient receiving moment is set as the push duration value, and the ratio of the number of times the push duration value exceeds the preset push duration value threshold in the total number of historical rehabilitation plan pushes is set as the push timeliness.

[0007] Preferably, the process of the remote monitoring status stability analysis is as follows: The monitoring information of the patient within the time threshold is obtained. The monitoring information includes vital sign data, environmental data, and wound monitoring data. The parameters in the patient's monitoring information are respectively evaluated, and then the evaluation results of the parameters in the patient's monitoring information are obtained. The evaluation results include meeting the expectation and not meeting the expectation. The number of evaluation results of the parameters in the monitoring information that meet the expectation is obtained, and the number of evaluation results of the parameters in the monitoring information that meet the expectation is set as the monitoring evaluation value, and the monitoring evaluation value is discriminated to obtain a normal signal or a risk signal.

[0008] Preferably, the process of comprehensive evaluation and analysis of the rehabilitation progress is as follows: Obtain the patient's rehabilitation information within the time threshold. The rehabilitation information includes the number of rehabilitation training sessions and the completion degree of rehabilitation training. Among them, the completion degree of rehabilitation training represents the ratio between the amount of tasks completed in a single rehabilitation training session and the total amount of tasks in a single rehabilitation training session; Establish a rectangular coordinate system with the number of rehabilitation training sessions as the X-axis and the completion degree of rehabilitation training as the Y-axis. Plot the rehabilitation training completion degree curve by the method of plotting points. At the same time, plot the preset rehabilitation training completion degree curve in the rectangular coordinate system corresponding to the rehabilitation training completion degree curve. The value obtained by subtracting the rehabilitation training completion degree in the preset rehabilitation training completion degree curve from the rehabilitation training completion degree in the rehabilitation training completion degree curve corresponding to the corresponding number of rehabilitation training sessions is set as the rehabilitation fitting degree. The proportion of the number of rehabilitation training sessions corresponding to the rehabilitation fitting degree greater than or equal to zero is set as the effectiveness of rehabilitation training.

[0009] Preferably, obtain the wound rehabilitation characteristic image of the patient within the time threshold, preprocess the wound rehabilitation characteristic image, and at the same time retrieve the stored preset wound healing evaluation model. Input the preprocessed wound rehabilitation characteristic image into the preset wound healing evaluation model to obtain the wound healing degree output by the preset wound healing evaluation model; Retrieve the preset weight factors of the effectiveness of rehabilitation training and the wound healing degree respectively. The sum value obtained by multiplying the effectiveness of rehabilitation training and the wound healing degree by the corresponding preset weight factors is set as the rehabilitation progress value, and the rehabilitation progress value is judged to obtain a recovery abnormal signal or a stable signal.

[0010] Preferably, the process of dynamic tracking and fitting regulation analysis is as follows: Construct a characteristic curve of the rehabilitation progress value based on the time series, and set the characteristic curve of the rehabilitation progress value as the rehabilitation progress value curve. At the same time, plot the preset rehabilitation progress value curve in the coordinate system corresponding to the rehabilitation progress value curve. The duration corresponding to the line segment where the rehabilitation progress value curve is below the preset rehabilitation progress value curve is set as the rehabilitation deviation degree.

[0011] Preferably, obtain the number of generated risk signals within the time threshold, and set the number of generated risk signals as the rehabilitation interference value. Obtain the preset rehabilitation interference value interval, and perform matching analysis on the rehabilitation interference value and the preset rehabilitation interference value interval to obtain the rehabilitation influence factor corresponding to the rehabilitation interference value located within the preset rehabilitation interference value interval; Compare and analyze the rehabilitation deviation degree and the rehabilitation influence factor with the stored preset rehabilitation deviation degree threshold and preset rehabilitation influence factor threshold to obtain an available signal or a planning signal.

[0012] The beneficial effects of the present invention are as follows: (1)The present invention initially analyzes from the perspective of data transmission between doctors and patients to determine whether information circulation has an impact on the patient's recovery, so as to rationally manage the data transmission between doctors and patients based on the information feedback, thereby reducing the impact of information circulation on the patient's recovery. And it analyzes from the perspective of remote monitoring status through the way of information progression, so that the medical staff can timely understand whether there are abnormal parameters in the patient's monitoring information and intuitively understand whether the patient's physical condition is stable, so as to make timely responses to improve the patient's monitoring effect. (2)The present invention analyzes from the perspective of the patient's recovery, so that doctors can timely understand the patient's recovery situation through the feedback text, so as to timely discover problems in the patient's recovery, and then conduct targeted and rational management to improve the efficiency of patient recovery supervision. And it further analyzes the recovery progress through the way of information progression, so as to dynamically adjust the patient's recovery plan according to the information feedback to improve the suitability of the patient's recovery plan, and at the same time helps to improve the patient's recovery progress. BRIEF DESCRIPTION OF THE DRAWINGS

[0013] The present invention will be further described below in conjunction with the accompanying drawings; Figure 1 is the system flow block diagram of the present invention; Figure 2 is the partial analysis reference diagram of the present invention. DETAILED DESCRIPTION OF THE EMBODIMENTS

[0014] The technical solutions in the embodiments of the present invention will be clearly and completely described below 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.

[0015] Referring to "embodiment" herein means that the specific features, structures or characteristics described in connection with the embodiment may be included in at least one embodiment of the present invention. The phrase appears in various places in the specification and does not necessarily refer to the same embodiment, nor is it an independent or alternative embodiment mutually exclusive with other embodiments. Those skilled in the art will explicitly and implicitly understand that the embodiments described herein can be combined with other embodiments; Embodiment 1: Please refer to Figures 1 to 2As shown in the figure, the present invention is an intelligent surgical patient remote monitoring and rehabilitation monitoring system, including a remote rehabilitation monitoring center, an information timeliness unit, a rehabilitation analysis unit, a recovery evaluation unit, a dynamic recovery unit, and a backend response unit. The remote rehabilitation monitoring center is unidirectionally communicatively connected to the information timeliness unit. The information timeliness unit is unidirectionally communicatively connected to both the rehabilitation analysis unit and the recovery evaluation unit. Both the rehabilitation analysis unit and the recovery evaluation unit are unidirectionally communicatively connected to the backend response unit. The recovery evaluation unit is bidirectionally communicatively connected to the dynamic recovery unit; The remote rehabilitation monitoring center is used to retrieve the data timeliness information of the medical staff side and send the data timeliness information to the information timeliness unit for information interaction timeliness analysis, so as to rationally manage the data transmission between doctors and patients, and further reduce the impact of information circulation on the patient's rehabilitation. The specific process of information interaction timeliness analysis is as follows: Collect the patient's remote monitoring and rehabilitation period, and set the patient's remote monitoring and rehabilitation period as the time threshold, and obtain the data timeliness information of the medical staff side within the time threshold. The data timeliness information includes feedback timeliness and push timeliness; The analysis process of feedback timeliness is: set the duration between the patient data collection moment and the medical staff data display moment as the real-time transmission duration, construct a set A of real-time transmission durations based on the time series, and set the coefficient of variation of set A as the feedback timeliness; The analysis process of push timeliness is: set the duration between the medical staff rehabilitation plan push moment and the patient reception moment as the push duration value, and set the ratio of the number of times the push duration value exceeds the preset push duration value threshold in the total number of historical rehabilitation plan pushes as the push timeliness; Among them, analyze the data transmission timeliness from two perspectives of patient-medical staff and medical staff-patient to judge whether there is a potential delay risk in the current remote monitoring of surgical patients, and then manage the data transmission timeliness to ensure that the system can respond to the patient's condition in a timely manner and recommend a rehabilitation plan in a timely manner, so as to improve the effective communication of data between doctors and patients, and further help improve the remote monitoring and rehabilitation effect of patients; Compare and analyze the feedback timeliness and push timeliness with the stored preset feedback timeliness threshold and preset push timeliness threshold: if the feedback timeliness is less than the preset feedback timeliness threshold and the push timeliness is less than the preset push timeliness threshold, generate a timeliness signal; if the feedback timeliness is greater than or equal to the preset feedback timeliness threshold, or the push timeliness is greater than or equal to the preset push timeliness threshold, generate a delay signal. The backend response unit is used to respond to the timeliness signal or delay signal, and immediately display the preset warning text "normal" corresponding to the timeliness signal or the preset warning text "delay" corresponding to the delay signal, so as to rationally manage the data transmission between doctors and patients, and further reduce the impact of information circulation on the patient's rehabilitation; When generating the aging signal, the rehabilitation analysis unit is used to analyze the stability of the remote monitoring status of the collected patient monitoring information, so that the medical staff can timely understand whether there are abnormal parameters in the patient monitoring information, intuitively understand whether the patient's physical condition is stable, and make timely responses to improve the monitoring effect of the patient. The specific process of remote monitoring status stability analysis is as follows: Obtain the patient's monitoring information within the time threshold. The monitoring information includes vital sign data, environmental data, wound monitoring data, etc. Evaluate and process the parameters in the patient's monitoring information respectively, and then obtain the evaluation and processing results of the parameters in the patient's monitoring information. The evaluation and processing results include meeting the expectation and not meeting the expectation. Obtain the number of evaluation and processing results of the parameters in the monitoring information that meet the expectation, and set the number of evaluation and processing results of the parameters in the monitoring information that meet the expectation as the monitoring evaluation value. Then perform discrimination processing on the monitoring evaluation value. If the monitoring evaluation value is equal to the total number of parameters in the monitoring information, generate a normal signal. If the monitoring evaluation value is not equal to the total number of parameters in the monitoring information, generate a risk signal. The backend response unit is used to respond to the normal signal or the risk signal and immediately display the preset warning text corresponding to the normal signal or the risk signal, that is, the preset warning text "Normal" corresponding to the normal signal and the preset warning text "Abnormal" corresponding to the risk signal, so that the medical staff can timely understand whether there are abnormal parameters in the patient monitoring information, and at the same time help to achieve the effect of real-time physiological index monitoring, and intuitively understand whether the patient's physical condition is stable, so as to make timely responses to improve the monitoring effect of the patient; The vital sign data includes heart rate, blood pressure, etc., the wound monitoring data includes wound temperature, wound humidity, etc., and the environmental data includes environmental temperature, environmental humidity, etc.; Meeting the expectation and not meeting the expectation: Discriminate the parameters such as vital sign data, environmental data, and wound monitoring data in the monitoring information respectively. For example, if there is a parameter corresponding value in the vital sign data that deviates from the corresponding preset range, it is determined as not meeting the expectation. If there is no parameter corresponding value in the vital sign data that deviates from the corresponding preset range, it is determined as meeting the expectation; if there is a parameter corresponding value in the environmental data that deviates from the corresponding preset threshold, it is determined as not meeting the expectation. If there is no parameter corresponding value in the environmental data that deviates from the corresponding preset threshold, it is determined as meeting the expectation; if there is a parameter corresponding value in the wound monitoring data that deviates from the corresponding preset range, it is determined as not meeting the expectation. If there is no parameter corresponding value in the wound monitoring data that deviates from the corresponding preset range, it is determined as meeting the expectation.

[0016] Example 2: The recovery evaluation unit is used to comprehensively evaluate and analyze the rehabilitation progress of the collected patient rehabilitation information. That is, through text feedback, doctors can timely understand the patient's rehabilitation situation, discover problems in a timely manner and adjust the rehabilitation plan, so as to improve the rehabilitation effect and timeliness. The specific process of comprehensive evaluation and analysis of rehabilitation progress is as follows: Obtain the patient's rehabilitation information within the time threshold. The rehabilitation information includes the number of rehabilitation trainings and the completion degree of rehabilitation trainings. Among them, the completion degree of rehabilitation training represents the ratio between the amount of tasks completed in a single rehabilitation training and the total amount of tasks in a single rehabilitation training; Establish a rectangular coordinate system with the number of rehabilitation trainings as the X-axis and the completion degree of rehabilitation trainings as the Y-axis. Draw the rehabilitation training completion degree curve by means of plotting points. At the same time, draw a preset rehabilitation training completion degree curve in the rectangular coordinate system corresponding to the rehabilitation training completion degree curve. The value obtained by subtracting the rehabilitation training completion degree in the preset rehabilitation training completion degree curve from the rehabilitation training completion degree in the rehabilitation training completion degree curve for the corresponding number of rehabilitation trainings is set as the rehabilitation fitting degree. The ratio of the number of rehabilitation trainings corresponding to the rehabilitation fitting degree greater than or equal to zero is set as the effectiveness of rehabilitation training; Obtain the wound rehabilitation characteristic image of the patient within the time threshold, and preprocess the wound rehabilitation characteristic image. The preprocessing includes filtering, cleaning, etc. At the same time, call the stored preset wound healing evaluation model, input the preprocessed wound rehabilitation characteristic image into the preset wound healing evaluation model, and obtain the wound healing degree output by the preset wound healing evaluation model. It should be noted that the larger the value of the wound healing degree, the better the wound rehabilitation effect of the patient; Call the preset weight factors of the effectiveness of rehabilitation training and the wound healing degree respectively, and set the sum value obtained by multiplying the effectiveness of rehabilitation training and the wound healing degree by the corresponding preset weight factors as the rehabilitation progress value, and perform a judgment process on the rehabilitation progress value: If the rehabilitation progress value is less than the preset rehabilitation progress value threshold, a recovery abnormal signal is generated. If the rehabilitation progress value is greater than or equal to the preset rehabilitation progress value threshold, a stable signal is generated. The backend response unit is used to respond to the recovery abnormal signal or the stable signal, and immediately display the preset warning text corresponding to the recovery abnormal signal or the stable signal, that is, the preset warning text "rehabilitation risk" corresponding to the recovery abnormal signal, and the preset warning text "rehabilitation stable" corresponding to the stable signal. Through text feedback, doctors can timely understand the patient's rehabilitation situation, so as to timely discover problems in the patient's rehabilitation, and then conduct targeted and reasonable management to improve the efficiency of patient rehabilitation supervision; When a stable signal is generated, the dynamic recovery unit is used to perform dynamic tracking and fitting control analysis on the rehabilitation progress value, so as to dynamically adjust the patient's rehabilitation plan according to the information feedback situation, improve the fitting degree of the patient's rehabilitation plan, and at the same time help improve the patient's rehabilitation progress. The specific process of dynamic tracking and fitting control analysis is as follows: Construct a characteristic curve of the rehabilitation progress value based on the time series, and set the characteristic curve of the rehabilitation progress value as the rehabilitation progress value curve. At the same time, plot a preset rehabilitation progress value curve in the coordinate system corresponding to the rehabilitation progress value curve, and set the duration corresponding to the line segment of the rehabilitation progress value curve below the preset rehabilitation progress value curve as the rehabilitation deviation degree; Obtain the number of risk signals generated within the time threshold, and set the number of generated risk signals as the rehabilitation interference value. It should be noted that the larger the value of the rehabilitation interference value, the greater the risk of affecting the patient's rehabilitation progress; Obtain a preset rehabilitation interference value interval, perform a matching analysis on the rehabilitation interference value and the preset rehabilitation interference value interval, and obtain a rehabilitation impact factor corresponding to the rehabilitation interference value within the preset rehabilitation interference value interval. Among them, a rehabilitation impact factor is set within each preset rehabilitation interference value interval, and the preset rehabilitation interference value intervals are set in ascending order, and the rehabilitation impact factor increases as the preset rehabilitation interference value interval becomes larger; Compare and analyze the rehabilitation deviation degree and the rehabilitation impact factor with the stored preset rehabilitation deviation degree threshold and preset rehabilitation impact factor threshold: If the rehabilitation deviation degree is less than the preset rehabilitation deviation degree threshold and the rehabilitation impact factor is less than the preset rehabilitation impact factor threshold, generate an available signal. If the rehabilitation deviation degree is greater than or equal to the preset rehabilitation deviation degree threshold, or the rehabilitation impact factor is greater than or equal to the preset rehabilitation impact factor threshold, generate a planning signal. The backend response unit is used to respond to the available signal or the planning signal, and immediately display the preset warning text corresponding to the available signal or the planning signal. The preset warning text corresponding to the available signal is "Continue the plan", and the preset warning text corresponding to the planning signal is "Adjust the plan", so as to dynamically adjust the patient's rehabilitation plan in a timely manner according to the information feedback situation, improve the compliance of the patient's rehabilitation plan, and at the same time help improve the patient's rehabilitation progress; In summary, the present invention initially analyzes from the perspective of data transmission between doctors and patients to determine whether information circulation affects the recovery of patients, so as to rationally manage the data transmission between doctors and patients based on the information feedback, thereby reducing the impact of information circulation on patient recovery. By means of information progression, it analyzes from the perspective of remote monitoring status, so that the medical staff can timely understand whether there are abnormal parameters in the patient monitoring information and intuitively understand whether the patient's physical condition is stable, so as to make timely responses to improve the patient's monitoring effect. At the same time, it analyzes from the perspective of patient recovery, so that doctors can timely understand the patient's recovery situation through the feedback text, so as to timely discover problems in patient recovery, and then conduct targeted and rational management to improve the efficiency of patient recovery supervision. And it further analyzes the recovery progress through the information progression method, so as to dynamically adjust the patient's recovery plan according to the information feedback, to improve the suitability of the patient's recovery plan, and at the same time help to improve the patient's recovery progress.

[0017] The threshold is set for result comparison and analysis to determine whether it is good or bad. Regarding the value of the threshold, it is set and stored by combining the large model analysis of sample data and manual experience, and can also be appropriately adjusted according to seasonal or regular influencing conditions. The magnitude of the coefficient is a specific value obtained by quantifying each parameter for subsequent comparison. Regarding the magnitude of the coefficient, it depends on the amount of sample data and the corresponding operating coefficients initially set by those skilled in the art for each group of sample data; as long as it does not affect the proportional relationship between the parameter and the quantified value.

[0018] The above is only a preferred specific embodiment of the present invention, but the protection scope of the present invention is not limited thereto. Any person skilled in the art within the technical scope disclosed by the present invention, according to the technical solution and inventive concept of the present invention, makes equivalent substitutions or changes, and should be covered by the protection scope of the present invention.

Claims

1. Intelligent surgical patient remote monitoring and rehabilitation monitoring system, characterized in that, It includes a remote rehabilitation monitoring center, an information timeliness unit, a rehabilitation analysis unit, a recovery evaluation unit, a dynamic recovery unit, and a backend response unit; The remote rehabilitation monitoring center is used to retrieve the data timeliness information of the medical staff side, and send the data timeliness information to the information timeliness unit for information interaction timeliness analysis. The obtained feedback timeliness and push timeliness are compared and analyzed to obtain a timeliness signal or a delay signal. When a timeliness signal is generated, the rehabilitation analysis unit is used to perform remote monitoring status stability analysis on the collected patient monitoring information, and perform discrimination processing on the obtained monitoring evaluation value to obtain a normal signal or a risk signal; The recovery evaluation unit is used to perform comprehensive evaluation and analysis on the collected patient rehabilitation information, and perform determination processing on the obtained rehabilitation progress value to obtain a recovery abnormality signal or a stable signal. When a stable signal is generated, the dynamic recovery unit is used to perform dynamic tracking and fitting control analysis on the rehabilitation progress value, and compare and analyze the obtained rehabilitation deviation degree and rehabilitation impact factor to obtain an available signal or a planning signal.

2. The intelligent surgical patient remote monitoring and rehabilitation monitoring system according to claim 1, wherein, The process of the information interaction timeliness analysis is as follows: The remote monitoring and rehabilitation period of the patient is collected, and the remote monitoring and rehabilitation period of the patient is set as the time threshold. The data timeliness information of the medical staff side within the time threshold is obtained. The data timeliness information includes feedback timeliness and push timeliness; The analysis process of the feedback timeliness is: The duration between the patient data collection moment and the medical staff data display moment is set as the real-time transmission duration. Based on the time series, a set A of the real-time transmission duration is constructed, and the coefficient of variation of the set A is set as the feedback timeliness; The feedback timeliness and the push timeliness are compared and analyzed with the stored preset feedback timeliness threshold and preset push timeliness threshold to obtain a timeliness signal or a delay signal.

3. The intelligent surgical patient remote monitoring and rehabilitation monitoring system according to claim 2, characterized in that, The analysis process of the push timeliness is: The duration between the rehabilitation plan push moment of the medical staff side and the patient reception moment is set as the push duration value, and the ratio of the number of times the push duration value exceeds the preset push duration value threshold in the total number of historical rehabilitation plan pushes is set as the push timeliness.

4. The intelligent surgical patient remote monitoring and rehabilitation monitoring system according to claim 2, characterized in that, The process of the remote monitoring status stability analysis is as follows: The monitoring information of the patient within the time threshold is obtained. The monitoring information includes vital sign data, environmental data, and wound monitoring data. The parameters in the patient's monitoring information are respectively evaluated, and then the evaluation results of the parameters in the patient's monitoring information are obtained. The evaluation results include meeting the expectation and not meeting the expectation. The number of parameters in the monitoring information whose evaluation results meet the expectation is obtained, and the number of parameters in the monitoring information whose evaluation results meet the expectation is set as the monitoring evaluation value, and the monitoring evaluation value is discriminated to obtain a normal signal or a risk signal.

5. The intelligent surgical patient remote monitoring and rehabilitation monitoring system according to claim 2, characterized in that, The process of the comprehensive evaluation and analysis of the rehabilitation progress is as follows: The rehabilitation information of the patient within the time threshold is obtained. The rehabilitation information includes the number of rehabilitation training sessions and the rehabilitation training completion degree. Among them, the rehabilitation training completion degree represents the ratio of the amount of tasks completed in a single rehabilitation training session to the total amount of tasks in a single rehabilitation training session; Establish a rectangular coordinate system with the number of rehabilitation training sessions as the X-axis and the rehabilitation training completion rate as the Y-axis. Draw the rehabilitation training completion rate curve by plotting points. At the same time, draw the preset rehabilitation training completion rate curve in the corresponding rectangular coordinate system of the rehabilitation training completion rate curve. Subtract the rehabilitation training completion rate in the preset rehabilitation training completion rate curve from the rehabilitation training completion rate in the rehabilitation training completion rate curve for the corresponding number of rehabilitation training sessions, and set the obtained value as the rehabilitation fitting degree. Set the proportion of the number of rehabilitation training sessions corresponding to the rehabilitation fitting degree greater than or equal to zero as the rehabilitation training effectiveness.

6. The intelligent surgical patient remote monitoring and rehabilitation monitoring system according to claim 5, characterized in that, Obtain the wound rehabilitation feature image of the patient within the time threshold, preprocess the wound rehabilitation feature image, and at the same time retrieve the stored preset wound healing assessment model. Input the preprocessed wound rehabilitation feature image into the preset wound healing assessment model to obtain the wound healing degree output by the preset wound healing assessment model. Retrieve the preset weight factors of the rehabilitation training effectiveness and the wound healing degree respectively. Set the sum value after multiplying the rehabilitation training effectiveness and the wound healing degree by the corresponding preset weight factors as the rehabilitation recovery progress value, and perform a determination process on the rehabilitation recovery progress value to obtain an abnormal recovery signal or a stable signal.

7. The intelligent surgical patient remote monitoring and rehabilitation monitoring system according to claim 2, characterized in that, The process of the dynamic tracking and fitting regulation analysis is as follows: Construct a characteristic curve of the rehabilitation recovery progress value based on the time series, and set the characteristic curve of the rehabilitation recovery progress value as the rehabilitation recovery progress value curve. At the same time, draw the preset rehabilitation recovery progress value curve in the coordinate system corresponding to the rehabilitation recovery progress value curve. Set the duration corresponding to the line segment of the rehabilitation recovery progress value curve below the preset rehabilitation recovery progress value curve as the rehabilitation deviation degree.

8. The intelligent surgical patient remote monitoring and rehabilitation monitoring system according to claim 7, wherein Obtain the number of generated risk signals within the time threshold, and set the number of generated risk signals as the rehabilitation interference value. Obtain the preset rehabilitation interference value interval, and perform a matching analysis on the rehabilitation interference value and the preset rehabilitation interference value interval to obtain the rehabilitation influence factor corresponding to the rehabilitation interference value located within the preset rehabilitation interference value interval. Compare and analyze the rehabilitation deviation degree and the rehabilitation influence factor with the stored preset rehabilitation deviation degree threshold and preset rehabilitation influence factor threshold to obtain an available signal or a planning signal.

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