Intelligent surgical patient remote monitoring and rehabilitation monitoring system

Abstract

The present application relates to the technical field of medical rehabilitation monitoring, and particularly relates to an intelligent surgical patient remote monitoring and rehabilitation monitoring system, comprising 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 present application preliminarily analyzes from the data transmission angle between doctors and patients, reduces the influence of information flow on patient rehabilitation, analyzes from the remote monitoring state angle through information progression, intuitively understands whether the patient's physical condition is stable, so as to make a timely response, improves the monitoring effect of the patient, simultaneously analyzes from the patient rehabilitation angle, so as to timely find problems in patient rehabilitation, and then carries out targeted and rational management, and further analyzes the rehabilitation progress through the information progression mode, so as to dynamically adjust the patient rehabilitation scheme according to the information feedback, and improves the fitting degree of the patient rehabilitation scheme.

Description

TECHNICAL FIELD

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

[0002] With the aggravation of population aging and the popularization of surgical operation, the demand for remote monitoring and rehabilitation management of postoperative patients is increasingly urgent, and the traditional inpatient rehabilitation mode is facing problems such as tight medical resources, high patient hospitalization costs, and lack of professional guidance for home rehabilitation.

[0003] The intelligent remote monitoring system can break through the time and space restrictions by integrating Internet of Things, big data and artificial intelligence technology, realize real-time collection and analysis of key indicators such as vital signs, wound state and motor function of postoperative patients, provide accurate rehabilitation intervention basis for clinical, reduce the frequency of patients going back and forth to the hospital, and relieve the pressure of medical resources.

[0004] However, in the prior art, it is difficult to analyze the timeliness of data transmission between doctors and patients, which increases the risk of abnormal information flow between doctors and patients, is not conducive to patient rehabilitation supervision, and it is difficult to analyze the problems existing in the rehabilitation progress of patients, which leads to slow rehabilitation progress of patients, and it is difficult to dynamically adjust the rehabilitation scheme according to the rehabilitation progress of patients, which leads to low fitting degree of patient rehabilitation scheme.

[0005] In view of the above technical defects, a solution is proposed. SUMMARY

[0006] The purpose of the present application is to provide an intelligent surgical patient remote monitoring and rehabilitation monitoring system to solve the above technical defects. The present application preliminarily analyzes the data transmission angle between doctors and patients to reduce the impact of information flow on patient rehabilitation, analyzes the remote monitoring state through information progression to intuitively understand whether the patient's physical condition is stable, so as to respond in time to improve the monitoring effect of patients, analyzes from the perspective of patient rehabilitation to timely find problems in patient rehabilitation, and then carries out targeted and reasonable management, further analyzes the rehabilitation progress through information progression to dynamically adjust the rehabilitation scheme of patients according to the information feedback, and improves the fitting degree of patient rehabilitation scheme, which is helpful to improve the rehabilitation progress of patients.

[0007] The purpose of the present application can be realized by the following technical scheme: an intelligent surgical patient remote monitoring and rehabilitation monitoring system, comprising 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.

[0008] The remote rehabilitation monitoring center is configured to obtain data timeliness information of the medical 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 the timeliness signal is generated, the rehabilitation analysis unit is configured to perform remote monitoring state stability analysis on the collected monitoring information of the patient, and perform discrimination processing on the obtained monitoring evaluation value to obtain a normal signal or a risk signal.

[0009] The recovery evaluation unit is configured to perform rehabilitation recovery progress comprehensive evaluation analysis on the collected rehabilitation information of the patient, and perform discrimination processing on the obtained rehabilitation recovery progress value to obtain a recovery abnormal signal or a stable signal. When the stable signal is generated, the dynamic recovery unit is configured to perform dynamic tracking and fitting regulation analysis on the rehabilitation recovery progress value, and perform comparison analysis on the obtained rehabilitation deviation and rehabilitation influence factor to obtain a usable signal or a planning signal.

[0010] Preferably, the information interaction timeliness analysis process is as follows:

[0011] The patient remote monitoring rehabilitation period is collected, and the patient remote monitoring rehabilitation period is set as a time threshold. The data timeliness information of the medical side within the time threshold is obtained, and the data timeliness information includes feedback timeliness and push timeliness.

[0012] The analysis process of the feedback timeliness is as follows: the time length between the patient data collection time and the medical side data display time is set as a real-time transmission time length, a set A of the real-time transmission time length is constructed based on a time sequence, and the discrete coefficient of the set A is set as the feedback timeliness.

[0013] 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.

[0014] Preferably, the analysis process of the push timeliness is as follows: the time length between the medical side rehabilitation scheme push time and the patient receiving time is set as a push time length value, and the proportion of the number of times that the push time length value exceeds the preset push time length value threshold in the total number of historical rehabilitation scheme push times is set as the push timeliness.

[0015] Preferably, the remote monitoring state stability analysis process is as follows:

[0016] Obtaining the monitoring information of the patient within the time threshold, the monitoring information including vital sign data, environmental data and wound monitoring data, respectively evaluating the parameters in the monitoring information of the patient, and then obtaining the evaluation results of the parameters in the monitoring information of the patient, the evaluation results including reaching the expectation and not reaching the expectation, obtaining the number of parameters in the monitoring information whose evaluation results are reaching the expectation, setting the number of parameters in the monitoring information whose evaluation results are reaching the expectation as the monitoring evaluation value, and discriminating the monitoring evaluation value to obtain the normal signal or the risk signal.

[0017] Preferably, the process of comprehensive evaluation and analysis of rehabilitation recovery progress is as follows:

[0018] Obtaining the rehabilitation information of the patient within the time threshold, the rehabilitation information including the number of rehabilitation training and the rehabilitation training completion degree, wherein the rehabilitation training completion degree represents the ratio between the task amount completed in a single rehabilitation training and the total task amount of a single rehabilitation training;

[0019] Establishing a rectangular coordinate system with the number of rehabilitation training as the X-axis and the rehabilitation training completion degree as the Y-axis, drawing the rehabilitation training completion degree curve by dotting, and drawing the preset rehabilitation training completion degree curve in the rectangular coordinate system corresponding to the rehabilitation training completion degree curve, obtaining the value 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 number of rehabilitation training, and setting the value as the rehabilitation fitting degree, and setting the proportion of the number of rehabilitation training corresponding to the rehabilitation fitting degree greater than or equal to zero as the rehabilitation training effectiveness.

[0020] Preferably, the wound rehabilitation feature image of the patient within the time threshold is obtained, the wound rehabilitation feature image is preprocessed, the preset wound healing evaluation model is called, the preprocessed wound rehabilitation feature image is input into the preset wound healing evaluation model, and the wound healing degree output by the preset wound healing evaluation model is obtained.

[0021] The preset weight factors of the rehabilitation training effectiveness and the wound healing degree are called respectively, the sum of the product of the rehabilitation training effectiveness and the wound healing degree and the corresponding preset weight factors is set as the rehabilitation recovery progress value, and the rehabilitation recovery progress value is judged to obtain the recovery abnormal signal or the stable signal.

[0022] Preferably, the process of dynamic tracking and fitting regulation analysis is as follows: a feature curve of the rehabilitation recovery progress value is constructed based on time series, the feature curve of the rehabilitation recovery progress value is set as the rehabilitation recovery progress value curve, a preset rehabilitation recovery progress value curve is drawn in the coordinate system corresponding to the rehabilitation recovery progress value curve, and the length of time corresponding to the segment below the preset rehabilitation recovery progress value curve in the rehabilitation recovery progress value curve is set as the rehabilitation deviation degree.

[0023] Preferably, the number of risk signals generated within the time threshold is obtained, and the number of risk signals generated is set as a rehabilitation interference value, a preset rehabilitation interference value interval is obtained, the rehabilitation interference value is matched and analyzed with the preset rehabilitation interference value interval, and a rehabilitation influence factor corresponding to the rehabilitation interference value located in the preset rehabilitation interference value interval is obtained.

[0024] The rehabilitation deviation and the rehabilitation influence factor are compared and analyzed with the stored preset rehabilitation deviation threshold and preset rehabilitation influence factor threshold, and an available signal or a planning signal is obtained.

[0025] The beneficial effects of the present application are as follows:

[0026] (1) The present application preliminarily analyzes from the data transmission angle between doctors and patients to determine whether information flow affects patient rehabilitation, so as to reasonably manage the data transmission between doctors and patients according to the information feedback, and further reduce the influence of information flow on patient rehabilitation. Through the information progression mode, the remote monitoring state is analyzed to enable the medical and nursing end to 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 timely respond and improve the patient monitoring effect;

[0027] (2) The present application analyzes from the perspective of patient rehabilitation, so that doctors can understand the patient's rehabilitation situation through feedback text in a timely manner, so as to timely find out the problems in patient rehabilitation, and then carry out targeted and reasonable management, so as to improve the patient rehabilitation supervision efficiency, and further analyze the rehabilitation progress through the information progression mode, so as to dynamically adjust the patient's rehabilitation scheme according to the information feedback, improve the fit degree of the patient's rehabilitation scheme, and help improve the patient's rehabilitation progress. BRIEF DESCRIPTION OF DRAWINGS

[0028] The present application will be further described below in conjunction with the accompanying drawings;

[0029] Fig. 1 is a system flowchart of the present application;

[0030] Fig. 2 is a local analysis reference diagram of the present application. DETAILED DESCRIPTION

[0031] The technical solutions in the embodiments of the present application will be described clearly and completely below in conjunction with the accompanying drawings of the embodiments of the present application. Obviously, the described embodiments are only part of the embodiments of the present application, not all the embodiments. Based on the embodiments in the present application, all other embodiments obtained by those skilled in the art without creative labor are within the scope of protection of the present application.

[0032] Reference herein to "an embodiment" means that a particular feature, structure, or characteristic described in connection with the embodiment can be included in at least one embodiment of the application. The appearances of the phrase in various places in the specification are not necessarily all referring to the same embodiment, nor are they necessarily mutually exclusive of one another. It is expressly understood that the embodiments described herein are merely examples from a multitude of possible embodiments which can be claimed;

[0033] Embodiment one:

[0034] Referring to Figs. 1-2 The application is 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 backend response unit. The remote rehabilitation monitoring center is in one-way communication connection with the information timeliness unit. The information timeliness unit is in one-way communication connection with the rehabilitation analysis unit and the recovery evaluation unit. The rehabilitation analysis unit and the recovery evaluation unit are both in one-way communication connection with the backend response unit. The recovery evaluation unit is in two-way communication connection with the dynamic recovery unit.

[0035] The remote rehabilitation monitoring center is used to retrieve the data timeliness information of the medical care end, and send the data timeliness information to the information timeliness unit for information interaction timeliness analysis, so as to reasonably manage the data transmission between doctors and patients, and further reduce the influence of information flow on patient rehabilitation. The specific information interaction timeliness analysis process is as follows:

[0036] The patient remote monitoring rehabilitation period is collected, and the patient remote monitoring rehabilitation period is set as a time threshold. The data timeliness information of the medical care end within the time threshold is obtained, which includes feedback timeliness and push timeliness.

[0037] The analysis process of feedback timeliness is as follows: the time length between the patient data collection time and the medical care end data display time is set as real-time transmission time length. A set A of real-time transmission time length is constructed based on time sequence. The discrete coefficient of set A is set as feedback timeliness.

[0038] The analysis process of push timeliness is as follows: the time length between the medical care end rehabilitation scheme push time and the patient receiving time is set as push time length value. The proportion of the number of times that the push time length value exceeds the preset push time length value threshold in the total number of historical rehabilitation scheme push times is set as push timeliness.

[0039] The data transmission timeliness is analyzed from the perspectives of patient-doctor and doctor-patient to determine whether the current remote monitoring of the surgical patient has a potential delay risk, and the data transmission timeliness is managed to ensure that the system can respond to the condition of the patient and recommend a rehabilitation plan in a timely manner, so as to improve the effective communication of data between doctors and patients, and thus help to improve the rehabilitation effect of remote monitoring of the patient.

[0040] The feedback timeliness and the push timeliness are compared with the preset feedback timeliness threshold and the 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, a timeliness signal is generated, 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, a delay signal is generated, and the backend response unit is used to respond to the timeliness signal or the delay signal, and immediately display the preset warning text corresponding to the timeliness signal "normal" or the delay signal "delay", so as to reasonably manage the data transmission between doctors and patients, and thus reduce the influence of information flow on patient rehabilitation.

[0041] When the timeliness signal is generated, the rehabilitation analysis unit is used to analyze the remote monitoring state stability of the collected patient monitoring information, so that the medical staff can timely understand whether there is an abnormal parameter in the patient monitoring information and intuitively understand whether the patient's physical condition is stable, so as to make a timely response to improve the monitoring effect of the patient. The process of remote monitoring state stability analysis is as follows:

[0042] 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, etc. The parameters in the patient monitoring information are evaluated and processed respectively, and the evaluation and processing results of the parameters in the patient monitoring information are obtained, including reaching the expectation and not reaching the expectation. The number of parameters in the monitoring information whose evaluation and processing results are reaching the expectation is obtained, and the number of parameters in the monitoring information whose evaluation and processing results are reaching the expectation is set as a monitoring evaluation value. The monitoring evaluation value is discriminated, if the monitoring evaluation value is equal to the total number of parameters in the monitoring information, a normal signal is generated, if the monitoring evaluation value is not equal to the total number of parameters in the monitoring information, a risk signal is generated, and 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, i.e. 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 is an abnormal parameter in the patient monitoring information, and at the same time help to realize real-time physiological index monitoring effect, and intuitively understand whether the patient's physical condition is stable, so as to make a timely response to improve the monitoring effect of the patient.

[0043] 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.

[0044] Expected and not expected: respectively, the parameters in the monitoring information, such as vital sign data, environmental data, wound monitoring data, etc. are distinguished, for example: if the corresponding value of the parameter deviates from the corresponding preset range, it is determined that the expected value is not reached, if the corresponding value of the parameter does not deviate from the corresponding preset range, it is determined that the expected value is reached; if the corresponding value of the parameter deviates from the corresponding preset threshold, it is determined that the expected value is not reached, if the corresponding value of the parameter does not deviate from the corresponding preset threshold, it is determined that the expected value is reached; if the corresponding value of the parameter deviates from the corresponding preset range, it is determined that the expected value is not reached, if the corresponding value of the parameter does not deviate from the corresponding preset range, it is determined that the expected value is reached.

[0045] Example two:

[0046] The recovery evaluation unit is used for comprehensive evaluation and analysis of the collected rehabilitation information of the patient, that is, through the way of text feedback, the doctor can timely understand the rehabilitation condition of the patient, timely find out the problem and adjust the rehabilitation scheme, improve the rehabilitation effect and timeliness, and the specific process of comprehensive evaluation and analysis of rehabilitation recovery progress is as follows:

[0047] The rehabilitation information of the patient within the time threshold is obtained, and the rehabilitation information includes the number of rehabilitation training and the rehabilitation training completion degree, wherein the rehabilitation training completion degree represents the ratio between the task amount completed in a single rehabilitation training and the total task amount in a single rehabilitation training;

[0048] A rectangular coordinate system is established with the number of rehabilitation training as the X-axis and the rehabilitation training completion degree as the Y-axis, the rehabilitation training completion degree curve is drawn by dotting, and the preset rehabilitation training completion degree curve is drawn 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 rehabilitation training number is set as the rehabilitation fitting degree, and the proportion of the rehabilitation training number corresponding to the rehabilitation fitting degree greater than or equal to zero is set as the rehabilitation training effectiveness.

[0049] The wound rehabilitation feature image of the patient within the time threshold is obtained, the wound rehabilitation feature image is preprocessed, the preprocessing includes filtering, cleaning, etc., and the stored preset wound healing evaluation model is called, the preprocessed wound rehabilitation feature image is input into the preset wound healing evaluation model, and the wound healing degree output by the preset wound healing evaluation model is obtained. It should be noted that the greater the value of the wound healing degree, the better the wound rehabilitation effect of the patient.

[0050] The preset weight factors of the rehabilitation training effectiveness and the wound healing degree are respectively called, and the sum of the rehabilitation training effectiveness and the wound healing degree multiplied by the corresponding preset weight factors is set as a rehabilitation recovery progress value, and the rehabilitation recovery progress value is determined: if the rehabilitation recovery progress value is less than a preset rehabilitation recovery progress threshold value, a recovery abnormal signal is generated, and if the rehabilitation recovery progress value is greater than or equal to the preset rehabilitation recovery progress threshold value, a stable signal is generated, and the back-end 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 stability” corresponding to the stable signal, so that the doctor can understand the rehabilitation condition of the patient in time through the text feedback mode, so as to timely find the problems in the patient's rehabilitation, and then carry out targeted and rational management, thereby improving the patient's rehabilitation supervision efficiency;

[0051] When the stable signal is generated, the dynamic recovery unit is used for dynamic tracking and fitting regulation analysis of the rehabilitation recovery progress value, so as to dynamically adjust the rehabilitation scheme of the patient according to the information feedback, improve the fitting degree of the patient's rehabilitation scheme, and help improve the patient's rehabilitation recovery progress. The specific process of dynamic tracking and fitting regulation analysis is as follows:

[0052] A feature curve of the rehabilitation recovery progress value is constructed based on a time sequence, and the feature curve of the rehabilitation recovery progress value is set as a rehabilitation recovery progress value curve. Meanwhile, a preset rehabilitation recovery progress value curve is drawn in the coordinate system corresponding to the rehabilitation recovery progress value curve. The time length corresponding to the line segment below the preset rehabilitation recovery progress value curve is set as a rehabilitation deviation degree.

[0053] The number of generated risk signals within the time threshold is obtained, and the number of generated risk signals is set as a rehabilitation interference value. It should be noted that the greater the value of the rehabilitation interference value, the greater the risk of affecting the patient's rehabilitation progress;

[0054] The preset rehabilitation interference value interval is obtained, and the rehabilitation interference value is matched and analyzed with the preset rehabilitation interference value interval to obtain a rehabilitation influence factor corresponding to the rehabilitation interference value located in the preset rehabilitation interference value interval. It should be noted that each preset rehabilitation interference value interval is set with a rehabilitation influence factor, and the preset rehabilitation interference value interval is set in ascending order, and the rehabilitation influence factor is larger as the preset rehabilitation interference value interval becomes larger.

[0055] The rehabilitation deviation and the rehabilitation influence factor are compared with the preset rehabilitation deviation threshold and the preset rehabilitation influence factor threshold, if the rehabilitation deviation is less than the preset rehabilitation deviation threshold, and the rehabilitation influence factor is less than the preset rehabilitation influence factor threshold, a usable signal is generated, if the rehabilitation deviation is greater than or equal to the preset rehabilitation deviation threshold, or the rehabilitation influence factor is greater than or equal to the preset rehabilitation influence factor threshold, a planning signal is generated, and the back-end response unit is used for responding to the usable signal or the planning signal, and immediately displaying preset early warning words corresponding to the usable signal or the planning signal, so that the rehabilitation scheme of the patient is dynamically adjusted in time according to the information feedback situation, the fitting degree of the rehabilitation scheme of the patient is improved, and the rehabilitation recovery progress of the patient is improved.

[0056] In summary, the present application preliminarily analyzes the data transmission between doctors and patients to determine whether information flow affects patient rehabilitation, so as to reasonably manage the data transmission between doctors and patients according to the information feedback, thereby reducing the influence of information flow on patient rehabilitation. By analyzing from the perspective of remote monitoring state through information progression, 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 and improve the monitoring effect of the patient. From the perspective of patient rehabilitation, doctors can timely understand the patient's rehabilitation situation through feedback words, so as to timely find problems in the patient's rehabilitation and make targeted and reasonable management, thereby improving the efficiency of patient rehabilitation supervision. Further analysis of rehabilitation progress through information progression can dynamically adjust the patient's rehabilitation scheme according to the information feedback, improve the fitting degree of the patient's rehabilitation scheme, and help improve the patient's rehabilitation recovery progress.

[0057] The threshold is set for result comparison analysis to determine whether it is good or bad. The size of the threshold is determined by combining large model analysis of sample data and artificial experience to set the input storage, and can be adjusted appropriately according to seasonal or rational influence conditions.

[0058] The size of the coefficient is a specific numerical value obtained by quantifying each parameter for subsequent comparison. The size of the coefficient depends on the amount of sample data and the corresponding running coefficient preliminarily set by the person skilled in the art for each group of sample data.

[0059] The above merely describes preferred specific embodiments of the present application, but the protection scope of the present application is not limited thereto, and any person skilled in the art, according to the technical solution and inventive concept of the present application, makes equivalent replacement or change within the technical range disclosed by the present application, which should be covered within the protection scope of the present application.

Claims

1. Intelligent surgical patient remote monitoring and rehabilitation monitoring system, characterized by: It includes remote rehabilitation monitoring center, information timeliness unit, rehabilitation analysis unit, recovery assessment unit, dynamic recovery unit and back-end response unit; The remote rehabilitation monitoring center is used to retrieve the data timeliness information of the medical end and send the data timeliness information to the information timeliness unit for information interaction timeliness analysis, compare and analyze the obtained feedback timeliness and push timeliness, and obtain a timeliness signal or a delay signal. When the timeliness signal is generated, the rehabilitation analysis unit is used to perform remote monitoring state stability analysis on the collected patient monitoring information, perform discrimination processing on the obtained monitoring evaluation value, and obtain a normal signal or a risk signal; The recovery assessment unit is used to conduct a comprehensive assessment and analysis of the rehabilitation progress of the collected patient rehabilitation information, determine and process the obtained rehabilitation progress value, and obtain a recovery abnormality signal or a stable signal. When a stable signal is generated, the dynamic recovery unit is used to dynamically track and adjust the rehabilitation progress value, compare and analyze the obtained rehabilitation deviation and rehabilitation influencing factors, and obtain a usable signal or a planning signal; The process of information interaction timeliness analysis is as follows: collecting the patient's remote monitoring and rehabilitation period, setting the patient's remote monitoring and rehabilitation period as a time threshold, and obtaining the data timeliness information of the medical end within the time threshold, the data timeliness information including feedback timeliness and push timeliness; The analysis process of feedback timeliness is as follows: the time between the time when the patient data is collected and the time when the medical data is displayed is set as the real-time transmission time, a set A of real-time transmission time is constructed based on the time series, and the dispersion coefficient of set A is set as the feedback timeliness; Compare and analyze the feedback timeliness and push timeliness with the stored preset feedback timeliness threshold and preset push timeliness threshold to obtain a timeliness signal or a postponement signal; The analysis process of push timeliness is as follows: the time between the time when the collected rehabilitation plan is pushed by the medical staff and the time when the patient receives it is set as the push timeliness value, and the proportion of the number of times the push time value exceeds the preset push timeliness threshold in the total number of historical rehabilitation plan pushes is set as the push timeliness; The process of remote monitoring state stability analysis is as follows: Acquire monitoring information of patients within a time threshold, the monitoring information including vital sign data, environmental data, and wound monitoring data, evaluate and process the parameters in the patient's monitoring information respectively, and then obtain evaluation and processing results of the parameters in the patient's monitoring information, the evaluation and processing results including whether the parameters meet expectations and whether the parameters do not meet expectations, obtain the evaluation and processing results of the parameters in the monitoring information as the number of which meet expectations, set the number of which the evaluation and processing results of the parameters in the monitoring information as the number of which meet expectations as the monitoring evaluation value, and perform discrimination processing on the monitoring evaluation value to obtain a normal signal or a risk signal; Obtaining a wound healing characteristic image of a patient within a time threshold, preprocessing the wound healing characteristic image, and simultaneously retrieving a stored preset wound healing assessment model, inputting the preprocessed wound healing characteristic image into the preset wound healing assessment model, and obtaining the wound healing degree output by the preset wound healing assessment model; Recalling the preset weight factors of rehabilitation training effectiveness and wound healing degree respectively, setting the sum of rehabilitation training effectiveness and wound healing degree multiplied by the corresponding preset weight factors as the rehabilitation progress value, and performing judgment processing on the rehabilitation progress value to obtain a recovery abnormality signal or a stable signal; The process of dynamic tracking and fitting regulation analysis is as follows: constructing a characteristic curve of the rehabilitation progress value based on the time series, setting the characteristic curve of the rehabilitation progress value as the rehabilitation progress value curve, and simultaneously drawing a preset rehabilitation progress value curve in the coordinate system corresponding to the rehabilitation progress value curve, and setting the time length corresponding to the line segment of the rehabilitation progress value curve below the preset rehabilitation progress value curve as the rehabilitation deviation; Obtaining the number of risk signals generated within the time threshold, setting the number of risk signals generated as the rehabilitation interference value, obtaining a preset rehabilitation interference value interval, performing matching analysis on the rehabilitation interference value and the preset rehabilitation interference value interval, and obtaining the rehabilitation impact factor corresponding to the rehabilitation interference value within the preset rehabilitation interference value interval; The rehabilitation deviation and rehabilitation impact factor are compared and analyzed with the stored preset rehabilitation deviation threshold and preset rehabilitation impact factor threshold to obtain a usable signal or a planning signal.

2. The intelligent surgical patient remote monitoring and rehabilitation monitoring system according to claim 1 is characterized in that: The process of comprehensive evaluation and analysis of rehabilitation progress is as follows: Obtaining rehabilitation information of the patient within the time threshold, the rehabilitation information including the number of rehabilitation training sessions and the degree of completion of the rehabilitation training, wherein the degree of completion of the 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; A rectangular coordinate system is established with the number of rehabilitation training sessions as the X-axis and the degree of rehabilitation training completion as the Y-axis. A rehabilitation training completion curve is drawn by plotting points. At the same time, a preset rehabilitation training completion curve is drawn in the rectangular coordinate system corresponding to the rehabilitation training completion curve. The value obtained by subtracting the rehabilitation training completion degree in the preset rehabilitation training completion curve from the rehabilitation training completion degree in the rehabilitation training completion curve in the corresponding number of rehabilitation training sessions is set as the rehabilitation fit. The proportion of the number of rehabilitation training sessions corresponding to the rehabilitation fit being greater than or equal to zero is set as the rehabilitation training effectiveness.

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