CN116110585A - Respiratory rehabilitation evaluation system for chronic obstructive pneumonia - Google Patents
Respiratory rehabilitation evaluation system for chronic obstructive pneumonia Download PDFInfo
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Abstract
The invention relates to the technical field of rehabilitation data processing, and discloses a respiratory rehabilitation evaluation system for chronic obstructive pneumonia, which is used for solving the problems that the traditional rehabilitation evaluation method can only analyze the chronic obstructive pneumonia singly, has inaccuracy and surface property for judging the respiratory rehabilitation training effect and is difficult to carry out scientific and accurate analysis and evaluation on the respiratory rehabilitation training effect, and comprises a processor, a data acquisition module, a data analysis module, an early warning prompt module and a data storage module which are in communication connection with the processor; the method is characterized in that the state of the chronic obstructive pneumonia patient for respiratory rehabilitation training is determined in a multi-dimensional mode by combining respiratory muscle training data, respiratory training data and exercise training data, respiratory rehabilitation training effects of the chronic obstructive pneumonia patient are evaluated in a grading mode according to comprehensive respiratory rehabilitation evaluation indexes, and effective monitoring of the respiratory rehabilitation training of the chronic obstructive pneumonia patient is guaranteed.
Description
Technical Field
The invention relates to the technical field of rehabilitation data processing, in particular to a respiratory rehabilitation evaluation system for chronic obstructive pneumonia.
Background
Chronic obstructive pulmonary disease (Chronic Obstructive Pulmonary Disease, COPD) is a chronic airway disease that is airflow restricted, often manifested as dyspnea, cough and expectoration, especially during physical activity or infection, as symptoms increase, airflow restriction and lung function decline, often caused by inhalation of noxious gases and particulate matter, such as tobacco smoke, air pollutants, industrial chemicals, and the like. After inhalation of these harmful substances, airway inflammation and mucus secretion are caused, resulting in airway narrowing and airway obstruction, thus making breathing difficult, and these harmful substances also damage lung tissues and alveoli, resulting in a decrease in lung function. Respiratory rehabilitation is a widely applied non-drug treatment method, and can improve the lung function, respiratory muscle strength and physical condition of patients with chronic respiratory diseases through comprehensive means such as exercise training, respiratory training, muscle strengthening, nutritional intervention, psychological support and the like, so as to improve the lung function and life quality of the patients.
Because the factors involved in respiratory rehabilitation of chronic obstructive pneumonia are more, the existing rehabilitation evaluation method can only singly analyze the chronic obstructive pneumonia, has inaccuracy and surface property in judging the respiratory rehabilitation training effect, and is difficult to scientifically and accurately analyze and evaluate the respiratory rehabilitation training effect.
In order to solve the above problems, a technical solution is now provided.
Disclosure of Invention
In order to overcome the above-mentioned drawbacks of the prior art, an embodiment of the present invention provides a respiratory rehabilitation evaluation system for chronic obstructive pneumonia, which determines a state of respiratory rehabilitation training of a patient with chronic obstructive pneumonia through combining respiratory muscle training data, respiratory training data and exercise training data in a multi-dimensional manner, and evaluates respiratory rehabilitation training effects of the patient with chronic obstructive pneumonia in a grading manner according to comprehensive respiratory rehabilitation evaluation indexes, so as to ensure effective monitoring of respiratory rehabilitation training of the patient with chronic obstructive pneumonia, so as to solve the problems set forth in the above-mentioned background art.
In order to achieve the above purpose, the present invention provides the following technical solutions:
a respiratory rehabilitation evaluation system for chronic obstructive pneumonia comprises a processor, and a data acquisition module, a data analysis module, an early warning prompt module and a data storage module which are in communication connection with the processor;
after the data analysis module receives the information sent by the data acquisition module, the processor calls the data stored in the data storage module to analyze and process the respiratory rehabilitation training effect of the chronic obstructive pneumonia to obtain different evaluation levels, and the evaluation levels are sent to the early warning prompt module;
the data analysis module respectively acquires a respiratory muscle rehabilitation evaluation index, a respiratory training evaluation index and a motion training evaluation index according to respiratory muscle training data, respiratory training data and motion training data, and utilizes the weighted sum of the respiratory muscle rehabilitation evaluation index, the respiratory training evaluation index and the motion training evaluation index as a comprehensive respiratory rehabilitation evaluation index, wherein the formula of the comprehensive respiratory rehabilitation evaluation index is as follows:
wherein:
for comprehensive respiratory rehabilitation evaluation index->
Assessment index for respiratory muscle rehabilitation>
Assessment of the index for respiratory training->
Assessment index for exercise training->
、/>
And +.>
The weight of the respiratory training evaluation index, the respiratory training evaluation index and the exercise training evaluation index are respectively that according to the acquired basic information and clinical data of the patient, medical staff combines biological and physiological indexes of the patient to adjust the specific characteristics of the chronic obstructive pulmonary disease clinical symptoms of the patient on respiratory, respiratory muscle and exercise ability +.>
、/>
And +.>
Weight value of>
、/>
And +.>
For a numerical value in the range +.>
Constant of the same.
As a further aspect of the present invention, in the data analysis module, the received respiratory muscle training data includes respiratory muscle endurance, respiratory muscle power, maximum expiratory pressure, maximum inspiratory pressure, and respiratory muscle power, the respiratory muscle rehabilitation evaluation index is positively correlated with the expiratory muscle power, the inspiratory muscle power, and the maximum expiratory pressure, is negatively correlated with the maximum inspiratory pressure, is positively correlated with the respiratory muscle power, and the formula of the respiratory muscle rehabilitation evaluation index is:
wherein:
is the maximum inspiratory pressure in +.>
；/>
Maximum expiratory pressure in units of
；/>
The maximum number of exhalations completed in 5 seconds is the expiratory muscle force; />
For inspiratory muscle strength, the maximum number of inspiration completed in 5 seconds; />
Is respiratory muscle power in +.>
。
As a further aspect of the present invention, in the data analysis module, the received respiratory training data includes instantaneous respiratory flow, lung capacity, blood oxygen saturation, respiratory rate, oxygen content in exhaled air, carbon dioxide content in exhaled air, and gas diffusion capability, the respiratory training evaluation index is positively correlated with the instantaneous respiratory flow, lung capacity, blood oxygen saturation, carbon dioxide content in exhaled air, and gas diffusion capability, and is negatively correlated with the respiratory rate and oxygen content in exhaled air, and the formula of the respiratory training evaluation index is:
wherein:
is the vital capacity in liters; />
The carbon dioxide content in the exhaled gas is the volume ratio of carbon dioxide to the whole exhaled gas; />
Is the blood oxygen saturation; />
The gas diffusion capacity refers to the absorption of gas from the air by the lungsAnd its ability to pass it into the blood; />
Respiratory rate refers to the number of breaths per minute; />
The oxygen content in the expired gas is the volume ratio of oxygen to the whole expired gas.
As a further scheme of the invention, in the data analysis module, the received exercise training data is obtained by a six-minute walking test, including walking distance, heart rate, blood pressure and fatigue degree for completing the six-minute walking test, wherein the fatigue degree is evaluated by a self-evaluation table and is divided into three grades, namely, special fatigue, the representative value is 1, general fatigue, the representative value is 2, no fatigue, the representative value is 3, the exercise training evaluation index is positively correlated with the walking distance, negatively correlated with the heart rate, negatively correlated with the blood pressure, positively correlated with the representative value of the fatigue degree, and the formula of the exercise training evaluation index is as follows:
wherein:
the distance of the tester after six minutes is expressed in meters; />
For the mean value of five heart rates measured every one minute at intervals when the tester performs the six-minute walk test, +.>
Blood pressure change values after and before completion of the six-minute walk test for the tester were measured in +.>
；/>
Is fatigueThe degree of fatigue represents the value.
As a further scheme of the invention, after the data analysis module acquires the comprehensive respiratory rehabilitation evaluation index, acquiring the numerical value of the comprehensive respiratory rehabilitation evaluation index to form a sample data set, solving the standard deviation and the mean value of the sample data set, and carrying out standardized operation on the data in the sample data set by adopting a standardized formula, wherein the standardized formula is as follows
Wherein->
For the normalization parameter, < >>
For data in the sample dataset, +.>
For the mean value of the sample dataset, +.>
Collecting the numerical value of the standardized parameter for the standard deviation of the sample data set to form a standard parameter data set, and substituting the numerical value of the standard parameter data set as an independent variable
Utilize->
The function value of the comprehensive respiratory rehabilitation evaluation index is evaluated in a grading manner, and the grading evaluation mechanism is as follows:
when (when)
The numerical evaluation grade of the comprehensive respiratory rehabilitation evaluation index is a first grade;
when (when)
And the numerical evaluation grade of the comprehensive respiratory rehabilitation evaluation index is two-level.
As a further scheme of the invention, the rehabilitation effect of the first grade of the numerical evaluation grade of the comprehensive respiratory rehabilitation evaluation index is larger than that of the second grade.
As a further aspect of the invention, the processor is for processing data from at least one component of a respiratory rehabilitation assessment system for chronic obstructive pulmonary disease;
the data acquisition module is used for acquiring respiratory muscle training data, respiratory training data and exercise training data, sending the acquired information to the data analysis module for analysis and processing, and sending the acquired information to the data storage module for storage;
the early warning prompt module carries out early warning prompt on respiratory rehabilitation training effects of the chronic obstructive pneumonia patient in each acquisition time period according to the received early warning level;
the data storage module is used for storing historical monitoring data of respiratory rehabilitation training of patients with chronic obstructive pneumonia.
A respiratory rehabilitation evaluation method for chronic obstructive pneumonia, for realizing the respiratory rehabilitation evaluation system for chronic obstructive pneumonia, comprising the following steps:
step S1, collecting respiratory muscle training data, and acquiring respiratory muscle rehabilitation evaluation indexes through the respiratory muscle training data by utilizing an evaluation mechanism of the respiratory muscle rehabilitation evaluation indexes;
step S2, acquiring respiratory training data, and acquiring respiratory rehabilitation evaluation indexes through the respiratory training data by utilizing an evaluation mechanism of the respiratory rehabilitation evaluation indexes;
step S3, acquiring exercise training data in respiratory rehabilitation, and acquiring exercise training evaluation indexes through the exercise training data in respiratory rehabilitation by utilizing an evaluation mechanism of the exercise training evaluation indexes;
and S4, comprehensively analyzing the training rehabilitation monitoring state of the respiratory rehabilitation training according to the respiratory muscle rehabilitation evaluation index, the respiratory training evaluation index and the exercise training evaluation index, determining each index evaluation state of the chronic obstructive pneumonia patient in each acquisition time period, acquiring the comprehensive respiratory rehabilitation evaluation index by combining the respiratory muscle rehabilitation evaluation index, the respiratory training evaluation index and the exercise training evaluation index, and carrying out grading evaluation on the rehabilitation evaluation effect brought by the respiratory rehabilitation training of the chronic obstructive pneumonia patient according to the comprehensive respiratory rehabilitation evaluation index value.
The invention discloses a respiratory rehabilitation evaluation system for chronic obstructive pneumonia, which has the technical effects and advantages that:
according to the invention, the state of the chronic obstructive pneumonia patient for respiratory rehabilitation training is determined in a multi-dimensional manner by combining respiratory muscle training data, respiratory training data and exercise training data, the respiratory rehabilitation training effect of the chronic obstructive pneumonia patient is evaluated in a grading manner according to comprehensive respiratory rehabilitation evaluation indexes, effective monitoring of the respiratory rehabilitation training of the chronic obstructive pneumonia patient is ensured, a professional doctor can know the illness state of the patient and the respiratory rehabilitation training effect in multiple directions based on the evaluated data characteristics and indexes, and a personalized respiratory rehabilitation training scheme is customized for the patient to improve the treatment effect of the respiratory rehabilitation training.
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FIG. 1 is a flow chart of a respiratory rehabilitation evaluation system for chronic obstructive pulmonary disease according to the present invention;
fig. 2 is a schematic diagram of a respiratory rehabilitation evaluation system for chronic obstructive pulmonary disease according to the present invention.
Detailed Description
The following description of the embodiments of the present invention will be made clearly and completely with reference to the accompanying drawings, in which it is apparent that the embodiments described are only some embodiments of the present invention, but not all embodiments. All other embodiments, which can be made by those skilled in the art based on the embodiments of the invention without making any inventive effort, are intended to be within the scope of the invention.
Example 1. The invention relates to a respiratory rehabilitation evaluation system for chronic obstructive pneumonia, which is characterized in that the respiratory rehabilitation training state of a patient with chronic obstructive pneumonia is determined by combining respiratory muscle training data, respiratory training data and exercise training data in a multi-dimensional manner, the respiratory rehabilitation training effect of the patient with chronic obstructive pneumonia is evaluated in a grading manner according to comprehensive respiratory rehabilitation evaluation indexes, effective monitoring of the respiratory rehabilitation training of the patient with chronic obstructive pneumonia is ensured, a professional doctor can know the illness state and the respiratory rehabilitation training effect of the patient in a multi-dimensional manner based on the evaluated data characteristics and indexes, and an individualized respiratory rehabilitation training scheme is customized for the patient to improve the treatment effect of the respiratory rehabilitation training.
FIG. 1 presents a flow chart of the respiratory rehabilitation assessment system for chronic obstructive pulmonary disease of the present invention, comprising the steps of:
step S1, collecting respiratory muscle training data, and acquiring respiratory muscle rehabilitation evaluation indexes through the respiratory muscle training data by utilizing an evaluation mechanism of the respiratory muscle rehabilitation evaluation indexes;
step S2, acquiring respiratory training data, and acquiring respiratory rehabilitation evaluation indexes through the respiratory training data by utilizing an evaluation mechanism of the respiratory rehabilitation evaluation indexes;
step S3, acquiring exercise training data in respiratory rehabilitation, and acquiring exercise training evaluation indexes through the exercise training data in respiratory rehabilitation by utilizing an evaluation mechanism of the exercise training evaluation indexes;
and S4, comprehensively analyzing the training rehabilitation monitoring state of the respiratory rehabilitation training according to the respiratory muscle rehabilitation evaluation index, the respiratory training evaluation index and the exercise training evaluation index, determining each index evaluation state of the chronic obstructive pneumonia patient in each acquisition time period, acquiring the comprehensive respiratory rehabilitation evaluation index by combining the respiratory muscle rehabilitation evaluation index, the respiratory training evaluation index and the exercise training evaluation index, and carrying out grading evaluation on the rehabilitation evaluation effect brought by the respiratory rehabilitation training of the chronic obstructive pneumonia patient according to the comprehensive respiratory rehabilitation evaluation index value.
Specifically, the detailed process of each step of the invention is as follows:
step S1:
the invention collects respiratory muscle training data, and acquires respiratory muscle rehabilitation evaluation indexes through the respiratory muscle training data by utilizing an evaluation mechanism of the respiratory muscle rehabilitation evaluation indexes.
In the data analysis module, the received respiratory muscle training data comprise respiratory muscle endurance, respiratory muscle power, maximum expiratory pressure, maximum inspiratory pressure and respiratory muscle power, the respiratory muscle rehabilitation evaluation index is positively correlated with the expiratory muscle power, the inspiratory muscle power and the maximum expiratory pressure, is negatively correlated with the maximum inspiratory pressure, and is positively correlated with the respiratory muscle power, and the formula of the respiratory muscle rehabilitation evaluation index is as follows:
wherein:
is the maximum inspiratory pressure in +.>
；/>
Maximum expiratory pressure in units of
；/>
The maximum number of exhalations completed in 5 seconds is the expiratory muscle force; />
For inspiratory muscle strength, the maximum number of inspiration completed in 5 seconds; />
Is respiratory muscle power in +.>
。
In the above, the data is obtained by a respiratory muscle strength tester, wherein the maximum negative pressure value measured when the maximum inhalation pressure is inhaled under the maximum effort is generally used for evaluating the strength of respiratory muscle, and the maximum inhalation pressure is generally-100 to-150
In between, some people can generate higher pressureHowever, the maximum inspiratory pressure of a patient with chronic obstructive pneumonia may be lower than normal before no respiratory rehabilitation training; maximum expiratory pressure is the highest positive pressure value measured during expiration at maximum effort, typically used to evaluate the strength of the respiratory muscles, and is typically 80 to 120 +.>
Some people may develop higher pressures, but the maximum expiratory pressure of a patient with chronic obstructive pneumonia may fall below the normal range of maximum expiratory pressure; the maximum number of inspiration and expiration times that respiratory muscle endurance is completed in 5 seconds is typically more than 20 times; respiratory muscle power is usually 2 to 3 +.>
Between them.
The influence degree of each parameter on the respiratory muscle rehabilitation evaluation index can be balanced through the arrangement of the evaluation formula, so that the influence level of each factor is balanced, the combined analysis and comprehensive consideration of multiple factors are conveniently realized, and the multidimensional and scientificity of the respiratory muscle rehabilitation evaluation index are increased.
Step S2:
the invention collects respiratory training data and utilizes an evaluation mechanism of respiratory rehabilitation evaluation indexes to obtain respiratory rehabilitation evaluation indexes through the respiratory training data.
It should be noted that, in the present data analysis module, the received respiratory training data includes instantaneous respiratory flow, lung capacity, blood oxygen saturation, respiratory frequency, oxygen content in exhaled air, carbon dioxide content in exhaled air and gas diffusion capability, the respiratory training evaluation index is positively correlated with the instantaneous respiratory flow, lung capacity, blood oxygen saturation, carbon dioxide content in exhaled air and gas diffusion capability, and is negatively correlated with the respiratory frequency and oxygen content in exhaled air, and the formula of the respiratory training evaluation index is:
wherein:
is the vital capacity in liters; />
The carbon dioxide content in the exhaled gas is the volume ratio of carbon dioxide to the whole exhaled gas; />
Is the blood oxygen saturation; />
Is the ability of the lungs to absorb gas from the air and transfer it into the blood; />
Respiratory rate refers to the number of breaths per minute; />
The oxygen content in the expired gas is the volume ratio of oxygen to the whole expired gas.
It should be noted that, the vital capacity refers to the maximum air amount that a person can inhale after exhaling under the maximum effort, and the normal value range varies depending on the sex, age and height, and for an adult of 20-30 years, the normal vital capacity is 4.5 to 5 liters; the gas analyzer is used to measure the oxygen and carbon dioxide content in the exhaled gas to assess lung function and gas exchange; the ability of the lungs to absorb gas from the air and deliver it to the blood, the normal range of values varies with sex, age and height, and for adults 20-30 years of age, the normal gas diffusion volume is 80-120%; respiratory rate: this refers to the number of breaths per minute, with the respiratory rate of a normal adult being between 12 and 20.
By the formula, the change characteristics of the functions can be utilized to comprehensively consider each influence factor into the respiratory training evaluation index by means of numerical analysis, so that the difference between orders of magnitude can be balanced, the influence effect and degree of each factor are balanced, the balance evaluation of multiple factors is conveniently realized, the common classification and analysis of each factor are realized, and the accuracy and scientificity of analysis are improved.
Step S3:
the invention collects the exercise training data in the respiratory rehabilitation and utilizes the evaluation mechanism of the exercise training evaluation index to obtain the exercise training evaluation index through the exercise training data in the respiratory rehabilitation.
In the data analysis module, the received exercise training data are obtained by six-minute walking test, including walking distance, heart rate, blood pressure and fatigue degree for completing six-minute walking test, wherein the fatigue degree is evaluated by a self-evaluation table and is divided into three grades, namely special fatigue, the representative value is 1, general fatigue, the representative value is 2, no fatigue, the representative value is 3, the exercise training evaluation index is positively correlated with walking distance, negatively correlated with heart rate, negatively correlated with blood pressure and positively correlated with the representative value of fatigue degree, and the formula of the exercise training evaluation index is:
wherein:
the distance of the tester after six minutes is expressed in meters; />
For the mean value of five heart rates measured every one minute at intervals when the tester performs the six-minute walk test, +.>
Blood pressure change values after and before completion of the six-minute walk test for the tester were measured in +.>
；/>
Is a representative value of the fatigue degree.
It should be noted that, the six-minute walking test can be used for evaluating the exercise ability of the patient with chronic obstructive pneumonia after exercise training, the exercise ability of the patient can be evaluated by the test data of the patient in the six-minute walking test, the individual evaluation and combination are performed on the influence degree of each factor by utilizing the characteristics of the mathematical function, and an exercise training evaluation index is formed, so that the exercise training effect of rehabilitation training is evaluated in a multi-dimensional manner, the data analysis precision and efficiency are improved, and the comprehensive evaluation effect caused by the multi-factor combination analysis is avoided from being ignored by considering each factor singly.
Step S4:
in step S4, the training rehabilitation monitoring states of the respiratory rehabilitation training are comprehensively analyzed according to the respiratory muscle rehabilitation evaluation index, the respiratory training evaluation index and the exercise training evaluation index, each index evaluation state of the chronic obstructive pneumonia patient in each acquisition time period is determined, the respiratory muscle rehabilitation evaluation index, the respiratory training evaluation index and the exercise training evaluation index are combined to obtain the comprehensive respiratory rehabilitation evaluation index, and the rehabilitation evaluation effect brought by the respiratory rehabilitation training of the chronic obstructive pneumonia patient is evaluated in a grading manner according to the comprehensive respiratory rehabilitation evaluation index value.
It should be noted that, the data analysis module obtains the respiratory muscle rehabilitation evaluation index, the respiratory training evaluation index and the exercise training evaluation index according to the respiratory muscle training data, the respiratory training data and the exercise training data respectively, and uses the weighted sum of the respiratory muscle rehabilitation evaluation index, the respiratory training evaluation index and the exercise training evaluation index as the comprehensive respiratory rehabilitation evaluation index, and the formula of the comprehensive respiratory rehabilitation evaluation index is:
wherein:
for comprehensive respiratory rehabilitation evaluation index->
Assessment of respiratory muscle recoveryEvaluation index, tight>
Assessment of the index for respiratory training->
Assessment index for exercise training->
、/>
And +.>
The weight of the respiratory training evaluation index, the respiratory training evaluation index and the exercise training evaluation index are respectively that according to the acquired basic information and clinical data of the patient, medical staff combines biological and physiological indexes of the patient to adjust the specific characteristics of the chronic obstructive pulmonary disease clinical symptoms of the patient on respiratory, respiratory muscle and exercise ability +.>
、/>
And +.>
Weight value of>
、/>
And +.>
For a numerical value in the range +.>
Constant of the same.
After the data analysis module acquires the comprehensive respiratory rehabilitation evaluation index, acquiring the numerical value of the comprehensive respiratory rehabilitation evaluation indexForming a sample data set, solving standard deviation and mean of the sample data set, and carrying out standardization operation on data in the sample data set by adopting a standardization formula, wherein the standardization formula is as follows
Wherein->
For the normalization parameter, < >>
For data in the sample dataset, +.>
For the mean value of the sample dataset, +.>
Collecting the numerical value of a standardized parameter for the standard deviation of a sample data set to form the standard parameter data set, and substituting the numerical value of the standard parameter data set as an independent variable into +.>
Utilize->
The function value of the comprehensive respiratory rehabilitation evaluation index is evaluated in a grading manner, and the grading evaluation mechanism is as follows:
when (when)
The numerical evaluation grade of the comprehensive respiratory rehabilitation evaluation index is a first grade;
when (when)
And the numerical evaluation grade of the comprehensive respiratory rehabilitation evaluation index is two-level.
Further, the recovery effect of the first level of the numerical evaluation grade of the comprehensive respiratory recovery evaluation index is larger than that of the second level.
Respiratory recovery for different chronic obstructive patientsThe retraining can be customized individually according to the age, sex, body shape and health condition of the patient, because the illness state and clinical manifestation of each person are different, the emphasis items of the respiratory rehabilitation training which need to be focused on the arrangement are different, in order to make the evaluation model have universality, the medical staff can adjust the specific characteristics of the chronic obstructive pneumonia clinical symptoms of the patient on respiratory, respiratory muscle and exercise capacity according to the acquired basic information and clinical data of the patient in the model by combining the biological and physiological indexes of the patient
、/>
And +.>
The weight value of the model can help the model to evaluate the rehabilitation training of more chronic obstructive patients, the range of an evaluation object is enlarged, the robustness of the model can be well improved, the final result analysis can be displayed on an analysis section, a doctor or a nurse inputs the evaluation result of the patient, an analysis report is automatically formed according to data analysis and a data mining technology and is made into a chart or report display, the guidance of the evaluation report can be realized by using a template engine mode, medical staff is helped to better analyze the illness state of the patient and evaluate the exercise capacity, the lung function and the recovery condition of respiratory muscles of the patient after respiratory rehabilitation training intervention, and a data base is conveniently provided for customizing the respiratory rehabilitation training scheme of the patient according to the evaluation result.
Example 2. Embodiment 2 of the present invention differs from embodiment 1 in that this embodiment is presented as a respiratory rehabilitation evaluation system for chronic obstructive pulmonary disease.
Fig. 2 shows a schematic structural diagram of the respiratory rehabilitation evaluation system for chronic obstructive pneumonia according to the present invention, which includes a processor, and a data acquisition module, a data analysis module, an early warning prompt module, and a data storage module communicatively connected to the processor.
The processor may be used to process data and/or information from at least one component of the respiratory rehabilitation assessment system for chronic obstructive pulmonary disease or an external data source (such as a cloud data center). In some embodiments, the processor may be local or remote. For example, the processor may access information and/or data from the data storage device, the terminal device, and/or the data acquisition device via a network. As another example, the processor may be directly connected to the data storage device, the terminal device, and/or the data acquisition device to access information and/or data. In some embodiments, the processor may be implemented on a cloud platform. For example, the cloud platform may include a private cloud, a public cloud, a hybrid cloud, a community cloud, a distributed cloud, an inter-cloud, a multi-cloud, and the like, or any combination thereof.
The data acquisition module is used for acquiring respiratory muscle training data, respiratory training data and exercise training data, sending the acquired information to the data analysis module for analysis and processing, and sending the acquired information to the data storage module for storage.
After the data analysis module receives the information sent by the data acquisition module, the processor calls the data stored in the data storage module to analyze and process the respiratory rehabilitation training effect of the chronic obstructive pneumonia, different evaluation levels are obtained, and the evaluation levels are sent to the early warning prompt module.
And the early warning prompt module carries out early warning prompt on the running state of the bridge in each acquisition time period according to the received early warning level.
The data storage module uses historical monitoring data and evaluation data of respiratory rehabilitation training of patients with chronic obstructive pneumonia.
The above formulas are all formulas with dimensionality removed and numerical calculation, the formulas are formulas with the latest real situation obtained by software simulation through collecting a large amount of data, and preset parameters and threshold selection in the formulas are set by those skilled in the art according to the actual situation.
The above embodiments may be implemented in whole or in part by software, hardware, firmware, or any other combination. When implemented in software, the above-described embodiments may be implemented in whole or in part in the form of a computer program product. The computer program product comprises one or more computer instructions or computer programs. When the computer instructions or computer program are loaded or executed on a computer, the processes or functions described in accordance with the embodiments of the present application are all or partially produced. The computer may be a general purpose computer, a special purpose computer, a computer network, or other programmable apparatus. The computer instructions may be stored in a computer-readable storage medium or transmitted from one computer-readable storage medium to another computer-readable storage medium, for example, the computer instructions may be transmitted from one website site, computer, server, or data center to another website site, computer, server, or data center by wired (e.g., infrared, wireless, microwave, etc.). The computer readable storage medium may be any available medium that can be accessed by a computer or a data storage device such as a server, data center, etc. that contains one or more sets of available media. The usable medium may be a magnetic medium (e.g., floppy disk, hard disk, magnetic tape), an optical medium (e.g., DVD), or a semiconductor medium. The semiconductor medium may be a solid state disk.
Those of ordinary skill in the art will appreciate that the various illustrative elements and algorithm steps described in connection with the embodiments disclosed herein may be implemented as electronic hardware, or combinations of computer software and electronic hardware. Whether such functionality is implemented as hardware or software depends upon the particular application and design constraints imposed on the solution. Skilled artisans may implement the described functionality in varying ways for each particular application, but such implementation decisions should not be interpreted as causing a departure from the scope of the present application.
It will be clear to those skilled in the art that, for convenience and brevity of description, specific working procedures of the above-described systems, apparatuses and units may refer to corresponding procedures in the foregoing method embodiments, and are not repeated herein.
In the several embodiments provided in this application, it should be understood that the disclosed systems, devices, and methods may be implemented in other manners. For example, the apparatus embodiments described above are merely illustrative, e.g., the division of the units is merely a logical function division, and there may be additional divisions when actually implemented, e.g., multiple units or components may be combined or integrated into another system, or some features may be omitted or not performed. Alternatively, the coupling or direct coupling or communication connection shown or discussed with each other may be an indirect coupling or communication connection via some interfaces, devices or units, which may be in electrical, mechanical or other form.
The units described as separate units may or may not be physically separate, and units shown as units may or may not be physical units, may be located in one place, or may be distributed on a plurality of network units. Some or all of the units may be selected according to actual needs to achieve the purpose of the solution of this embodiment.
In addition, each functional unit in each embodiment of the present application may be integrated in one processing unit, or each unit may exist alone physically, or two or more units may be integrated in one unit.
The functions, if implemented in the form of software functional units and sold or used as a stand-alone product, may be stored in a computer-readable storage medium. Based on such understanding, the technical solution of the present application may be embodied essentially or in a part contributing to the prior art or in a part of the technical solution, in the form of a software product stored in a storage medium, including several instructions for causing a computer device (which may be a personal computer, a server, or a network device, etc.) to perform all or part of the steps of the methods described in the embodiments of the present application. And the aforementioned storage medium includes: a U-disk, a removable hard disk, a read-only memory (ROM), a random access memory (random access memory, RAM), a magnetic disk, or an optical disk, or other various media capable of storing program codes.
The foregoing is merely specific embodiments of the present application, but the scope of the present application is not limited thereto, and any person skilled in the art can easily think about changes or substitutions within the technical scope of the present application, and the changes and substitutions are intended to be covered by the scope of the present application. Therefore, the protection scope of the present application shall be subject to the protection scope of the claims.
Finally: the foregoing description of the preferred embodiments of the invention is not intended to limit the invention to the precise form disclosed, and any such modifications, equivalents, and alternatives falling within the spirit and principles of the invention are intended to be included within the scope of the invention.
Claims (8)
1. The respiratory rehabilitation evaluation system for the chronic obstructive pneumonia is characterized by comprising a processor, and a data acquisition module, a data analysis module, an early warning prompt module and a data storage module which are in communication connection with the processor;
after the data analysis module receives the information sent by the data acquisition module, the processor calls the data stored in the data storage module to analyze and process the respiratory rehabilitation training effect of the chronic obstructive pneumonia to obtain different evaluation levels, and the evaluation levels are sent to the early warning prompt module;
the data analysis module respectively acquires a respiratory muscle rehabilitation evaluation index, a respiratory training evaluation index and a motion training evaluation index according to respiratory muscle training data, respiratory training data and motion training data, and utilizes the weighted sum of the respiratory muscle rehabilitation evaluation index, the respiratory training evaluation index and the motion training evaluation index as a comprehensive respiratory rehabilitation evaluation index, wherein the formula of the comprehensive respiratory rehabilitation evaluation index is as follows:
wherein:
for comprehensive respiratory rehabilitation evaluation index->
Assessment index for respiratory muscle rehabilitation>
Assessment of the index for respiratory training->
Assessment index for exercise training->
、/>
And +.>
The weight of the respiratory training evaluation index, the respiratory training evaluation index and the exercise training evaluation index are respectively that according to the acquired basic information and clinical data of the patient, medical staff combines biological and physiological indexes of the patient to adjust the specific characteristics of the chronic obstructive pulmonary disease clinical symptoms of the patient on respiratory, respiratory muscle and exercise ability +.>
、/>
And +.>
Weight value of>
、/>
And +.>
For a numerical value in the range +.>
Constant of the same.
2. A respiratory rehabilitation evaluation system for chronic obstructive pulmonary disease according to claim 1, wherein: in the data analysis module, the received respiratory muscle training data comprise respiratory muscle endurance, respiratory muscle power, maximum expiratory pressure, maximum inspiratory pressure and respiratory muscle power, the respiratory muscle rehabilitation evaluation index is positively correlated with the expiratory muscle power, the inspiratory muscle power and the maximum expiratory pressure, is negatively correlated with the maximum inspiratory pressure, and is positively correlated with the respiratory muscle power, and the formula of the respiratory muscle rehabilitation evaluation index is as follows:
wherein:
is the maximum inspiratory pressure in +.>
；/>
Maximum expiratory pressure in +.>
；
The maximum number of exhalations completed in 5 seconds is the expiratory muscle force; />
For inspiratory muscle strength, the maximum number of inspiration completed in 5 seconds; />
Is respiratory muscle power in +.>
。
3. A respiratory rehabilitation evaluation system for chronic obstructive pulmonary disease according to claim 1, wherein: in the data analysis module, the received respiration training data comprise instantaneous respiration flow, vital capacity, blood oxygen saturation, respiration frequency, oxygen content in the exhaled air, carbon dioxide content in the exhaled air and gas diffusion capacity, the respiration training evaluation index is positively correlated with the instantaneous respiration flow, the vital capacity, the blood oxygen saturation, the carbon dioxide content in the exhaled air and the gas diffusion capacity, and is negatively correlated with the respiration frequency and the oxygen content in the exhaled air, and the formula of the respiration training evaluation index is as follows:
wherein:
is the vital capacity in liters; />
The carbon dioxide content in the exhaled gas is the volume ratio of carbon dioxide to the whole exhaled gas; />
Is the blood oxygen saturation; />
Is the ability of the lungs to absorb gas from the air and transfer it into the blood; />
Respiratory rate, meaning respiratory per minuteIs a number of times (1); />
The oxygen content in the expired gas is the volume ratio of oxygen to the whole expired gas.
4. A respiratory rehabilitation evaluation system for chronic obstructive pulmonary disease according to claim 1, wherein: in the data analysis module, the received exercise training data are obtained by six-minute walking test, including walking distance, heart rate, blood pressure and fatigue degree for completing six-minute walking test, wherein the fatigue degree is evaluated by a self-evaluation table and is divided into three grades, namely special fatigue, the representative value is 1, general fatigue, the representative value is 2, no fatigue, the representative value is 3, the exercise training evaluation index is positively correlated with walking distance, negatively correlated with heart rate, negatively correlated with blood pressure and positively correlated with the representative value of fatigue degree, and the formula of the exercise training evaluation index is:
wherein:
the distance of the tester after six minutes is expressed in meters; />
For the mean value of five heart rates measured every one minute at intervals when the tester performs the six-minute walk test, +.>
Blood pressure change values after and before completion of the six-minute walk test for the tester were measured in +.>
；/>
Is a representative value of the fatigue degree.
5. A respiratory rehabilitation evaluation system for chronic obstructive pulmonary disease according to claim 1, wherein: after the data analysis module acquires the comprehensive respiratory recovery evaluation index, acquiring the numerical value of the comprehensive respiratory recovery evaluation index to form a sample data set, solving the standard deviation and the mean value of the sample data set, and carrying out standardized operation on the data in the sample data set by adopting a standardized formula, wherein the standardized formula is as follows
Wherein->
For the normalization parameter, < >>
For data in the sample dataset, +.>
For the mean value of the sample dataset, +.>
Collecting the numerical value of a standardized parameter for the standard deviation of a sample data set to form the standard parameter data set, and substituting the numerical value of the standard parameter data set as an independent variable into +.>
Utilize->
The function value of the comprehensive respiratory rehabilitation evaluation index is evaluated in a grading manner, and the grading evaluation mechanism is as follows:
when (when)
Numerical evaluation of comprehensive respiratory rehabilitation evaluation indexThe grade is first grade;
when (when)
And the numerical evaluation grade of the comprehensive respiratory rehabilitation evaluation index is two-level.
6. A respiratory rehabilitation evaluation system for chronic obstructive pulmonary disease according to claim 5, wherein: the first grade of the numerical evaluation grade of the comprehensive respiratory rehabilitation evaluation index has a rehabilitation effect larger than that of the second grade.
7. A respiratory rehabilitation evaluation system for chronic obstructive pulmonary disease according to claim 1, wherein:
the processor is for processing data from at least one component of a respiratory rehabilitation assessment system for chronic obstructive pulmonary disease;
the data acquisition module is used for acquiring respiratory muscle training data, respiratory training data and exercise training data, sending the acquired information to the data analysis module for analysis and processing, and sending the acquired information to the data storage module for storage;
the early warning prompt module carries out early warning prompt on respiratory rehabilitation training effects of the chronic obstructive pneumonia patient in each acquisition time period according to the received early warning level;
the data storage module is used for storing historical monitoring data of respiratory rehabilitation training of patients with chronic obstructive pneumonia.
8. A respiratory rehabilitation evaluation system for chronic obstructive pulmonary disease according to claim 1, wherein the respiratory rehabilitation evaluation method comprises the steps of:
step S1, collecting respiratory muscle training data, and acquiring respiratory muscle rehabilitation evaluation indexes through the respiratory muscle training data by utilizing an evaluation mechanism of the respiratory muscle rehabilitation evaluation indexes;
step S2, acquiring respiratory training data, and acquiring respiratory rehabilitation evaluation indexes through the respiratory training data by utilizing an evaluation mechanism of the respiratory rehabilitation evaluation indexes;
step S3, acquiring exercise training data in respiratory rehabilitation, and acquiring exercise training evaluation indexes through the exercise training data in respiratory rehabilitation by utilizing an evaluation mechanism of the exercise training evaluation indexes;
and S4, comprehensively analyzing the training rehabilitation monitoring state of the respiratory rehabilitation training according to the respiratory muscle rehabilitation evaluation index, the respiratory training evaluation index and the exercise training evaluation index, determining each index evaluation state of the chronic obstructive pneumonia patient in each acquisition time period, acquiring the comprehensive respiratory rehabilitation evaluation index by combining the respiratory muscle rehabilitation evaluation index, the respiratory training evaluation index and the exercise training evaluation index, and carrying out grading evaluation on the rehabilitation evaluation effect brought by the respiratory rehabilitation training of the chronic obstructive pneumonia patient according to the comprehensive respiratory rehabilitation evaluation index value.
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