CN109903831B - Intelligent evaluation training system for children rehabilitation - Google Patents
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Abstract
The application relates to the technical field of children rehabilitation and discloses an intelligent evaluation training system for children rehabilitation, which comprises a service system and an interactive terminal, wherein the service system is used for storing and calculating data, the interactive terminal is used for interacting and displaying information between the terminal and a user, and the service system comprises a data storage module, a data analysis module and an evaluation output module. The intelligent evaluation system formed by the service system and the interactive terminal can realize the intellectualization and self-help of the evaluation flow, can realize the full-flow self-help evaluation and training in cooperation with the video guidance of the training area, can assist the work of rehabilitation centers and rehabilitation operators, reduces the price of rehabilitation, is suitable for popularization and use in three-four-wire cities, and simultaneously can facilitate the periodic maintenance and update of the system by operation and maintenance personnel by independently separating the service system from the interactive terminal, so that one set of system serves multiple people, can further reduce the use cost and is beneficial to popularization.
Description
Technical Field
The application relates to the technical field of children rehabilitation, in particular to an intelligent evaluation training system for children rehabilitation.
Background
The children rehabilitation center is in the pediatric field, eliminates and reduces the dysfunction of people, compensates and reconstructs the functions of people, tries to improve and enhance the functions of people in all aspects, evaluates and intervenes aiming at the dysfunction, and puts forward rehabilitation training, including exercise therapy, operation therapy, language cognition training, autism structural training, sensory training and the like.
The traditional evaluation and training of the children rehabilitation field is dependent on professional rehabilitation therapists, such as: when a child with sensory integration disorder arrives at the rehabilitation center, the rehabilitation process is as follows: the experienced rehabilitation engineer evaluates through the scale to obtain an evaluation result and a disease description; a rehabilitation training plan is given by a rehabilitation engineer according to personal rehabilitation experience and evaluation results; the rehabilitation teacher arranges the teacher to perform one-to-one rehabilitation training on the child. However, as the number of persons of the rehabilitation engineers is insufficient, many children cannot get good rehabilitation training treatment, one-to-one price of the rehabilitation engineers is high, and a large economic burden is caused for common families, on the other hand, the urban rehabilitation profession of three four lines is not high, rehabilitation resources are deficient, and many children cannot get treatment opportunities.
Disclosure of Invention
Aiming at the defect that the existing children rehabilitation center provided in the background art has efficacy in the rehabilitation field, the application provides an intelligent evaluation training system for children rehabilitation, which has the advantages of full-process intellectualization and self-service of the rehabilitation training technology, and solves the problems that the rehabilitation staff of the traditional children rehabilitation center provided in the background art lacks, and the rehabilitation resources are unevenly distributed, so that children cannot obtain good rehabilitation treatment.
The application provides the following technical scheme: the intelligent evaluation training system for children rehabilitation comprises a service system and an interactive terminal, wherein the service system is used for storing and calculating data, the interactive terminal is used for interaction and information display between the terminal and a user, the service system comprises a data storage module, a data analysis module and an evaluation output module, data interaction transmission is realized among the data storage module, the data analysis module and the evaluation output module, the data storage module is used for storing various disease information data required by children rehabilitation, the data analysis module is used for analyzing and calculating disease table information data input by the user and calling disease standard parameter data in the data storage module, the disease index parameter is compared with standard parameter, the evaluation output module is used for reading a comparison result of the data analysis module and calling an evaluation result corresponding to the comparison result of the data analysis module in the data storage module to generate an evaluation result and a specific training plan, and finally obtained evaluation result and training plan are transmitted to the interactive terminal.
The interactive terminal comprises an information input terminal, an audio output terminal and an image output terminal, wherein the information input terminal is used for a user to input disorder table information, the information input terminal is also used for a professional rehabilitation engineer to input new disorder information into the data storage module to update a database in the data storage module, the audio output terminal is used for outputting instruction information, the image output terminal is used for displaying an evaluation result and a training plan of the evaluation output module on a screen, and the display information comprises the evaluation result, the training plan and corresponding training instruction videos.
Preferably, the service system and the interactive terminal are independently arranged, and data transmission is performed through cable or wireless communication connection.
Preferably, the data storage module comprises a standard parameter library and a disease information library, the standard parameter library is used for storing standard parameters corresponding to various disease indexes, the disease information library is used for storing disease information corresponding to deviation standard parameters and training guidance video materials adopted for disease, and the standard parameter library is connected with a data input interface of the deviation value unit and the information input terminal.
Preferably, the data analysis module comprises a parameter comparison unit, a bias high difference unit and a bias low difference unit, wherein the parameter comparison unit is used for comparing the scale information data input by the information input terminal with the data in the standard parameter library, the bias high difference unit is used for temporarily storing bias high difference values, and the bias low difference unit is used for temporarily storing bias low difference values.
Further, the storage modes of the higher difference unit and the lower difference unit are first-in first-out data storage modes.
Preferably, the evaluation output module comprises a data retrieving unit, a training plan generating unit and a form generating unit, wherein the data retrieving unit is used for retrieving information data in the illness state information base, the higher difference unit and the lower difference unit according to the requirement, the training plan generating unit is used for calculating weights of the data obtained from the higher difference unit and the lower difference unit and calculating single training time length and training sequence according to the weights, and the form generating unit is used for outputting illness state information corresponding to identifiers of the higher difference unit and the lower difference unit in the illness state information base to the image output terminal in a form.
Furthermore, the basic parameters of the weight calculation adopt the deviation degree of the disease index parameters compared with the standard parameters.
The application has the following beneficial effects:
1. the intelligent evaluation system formed by the service system and the interactive terminal can realize the intellectualization and self-help of the evaluation flow, can realize the full-flow self-help evaluation and training in cooperation with the video guidance of the training area, can assist the work of rehabilitation centers and rehabilitation operators, reduces the price of rehabilitation, is suitable for popularization and use in three-four-wire cities, and simultaneously can facilitate the periodic maintenance and update of the system by operation and maintenance personnel by independently separating the service system from the interactive terminal, so that one set of system serves multiple people, can further reduce the use cost and is beneficial to popularization.
2. According to the application, the training program generating unit is arranged, the generated items to be trained are arranged in reverse order according to the deviation degree of the disease index parameter from the standard parameter, and the time length distribution is carried out on each item to be trained according to the deviation degree, so that the training program provided by the system is more scientific and reasonable.
3. According to the application, the training plan generating unit and the parameter comparison unit are respectively arranged in the two modules, and the 'first-in first-out' principle is adopted for data transmission, so that the evaluation result generation and the training plan generation are independently carried out, and the service system can maximize the calculation of the utilization module and optimize the operation efficiency of the module when facing a plurality of interactive terminals and simultaneously transmitting data requests.
Drawings
FIG. 1 is a system frame diagram of the present application;
FIG. 2 is a block diagram showing the cooperation between the modules in the service system of the present application.
In the figure: 1. a service system; 101. a data storage module; 1011. a standard parameter library; 1012. a disease information base; 102. a data analysis module; 1021. a parameter comparison unit; 1022. a bias difference unit; 1023. a low difference unit; 103. an evaluation output module; 1031. a data calling unit; 1032. a training plan generation unit; 1033. a form generation unit; 2. an interactive terminal; 201. an information input terminal; 202. an audio output terminal; 203. and an image output terminal.
Detailed Description
The following description of the embodiments of the present application 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 application, but not all embodiments. All other embodiments, which can be made by those skilled in the art based on the embodiments of the application without making any inventive effort, are intended to be within the scope of the application.
It should be noted that, the "disease index parameter" mentioned in the present application refers to a parameter value corresponding to an index related to a disease; "standard parameter value" refers to a parameter value of a condition indicator in a normal state, the parameter value being a range of values.
Referring to fig. 1-2, an intelligent evaluation training system for children rehabilitation includes a service system 1 and an interactive terminal 2, wherein the service system 1 and the interactive terminal 2 are mutually independent, data transmission is performed through cable or wireless communication connection, the service system 1 is used for data storage and calculation, the interactive terminal 2 is used for terminal-user interaction and information display, the service system 1 and the interactive terminal 2 are independently arranged, and core data are independently arranged in the service system 1, so that centralized maintenance and data update are facilitated, and meanwhile information sharing efficiency among devices is facilitated to be overall.
In fact, the service system 1 and the interactive terminal 2 are respectively and independently arranged, so that maintenance of a system and timely update of system data by workers are facilitated, workload of maintenance workers is reduced, meanwhile, as initial disease information of the system is incompletely input, a database is required to be updated in a continuous use process in a later period, and a plurality of terminals are connected by adopting an independent system, disease information of the plurality of terminals can be conveniently supplemented to the system in time, so that the system can be updated in time; meanwhile, in order to facilitate accuracy of data transmission when a single service system 1 serves a plurality of interactive terminals 2, terminal codes of the interactive terminals 2 are added before data transmitted to the service system 1 by the interactive terminals 2 to identify a source of the data.
The service system 1 comprises a data storage module 101, a data analysis module 102 and an evaluation output module 103, wherein data interaction transmission is realized among the data storage module 101, the data analysis module 102 and the evaluation output module 103, the data storage module 101 is used for storing various disease information data required by children rehabilitation, the data analysis module 102 is used for analyzing and calculating disease scale information data input by a user and calling disease standard parameter data in the data storage module 101, the evaluation output module 103 is used for reading comparison results of the data analysis module 102 and calling evaluation results corresponding to the comparison results of the data analysis module 102 in the data storage module 101 to generate evaluation results and targeted training plans, and finally obtained evaluation results and training plans are transmitted to the interaction terminal 2.
The interactive terminal 2 comprises an information input terminal 201, an audio output terminal 202 and an image output terminal 203, wherein the information input terminal 201 is used for a user to key in information of a disease table, the information in the table is provided by a hospital tester, the information input terminal 201 can be equipment of an information key-in system such as a keyboard, a mouse and the like, the information input terminal 201 is also used for a professional rehabilitation engineer to input new disease information into the data storage module 101 to update a database in the data storage module 101, the audio output terminal 202 is used for outputting instruction information so that the user can operate step by step according to voice instructions when using the application, the image output terminal 203 is used for displaying an evaluation result and a training plan of the evaluation output module 103 on a screen, and the display information comprises the evaluation result, the training plan and corresponding training instruction videos.
Therefore, the service system 1 and the interactive terminal 2 complete the self-help evaluation and training system of the rehabilitation center, the user inputs the scale information of the child into the interactive terminal 2 according to the voice command, the service system 1 matches the input information with the disease information in the database and gives out an evaluation result, meanwhile, a training plan is given, a training guidance video matched with the plan is given, the user can carry out autonomous training according to the training plan automatically generated to a special training area and the guidance video, the professional technology of the rehabilitation training is changed into the intelligent matching step of the system equipment, the full-flow intelligent and self-help operation is completely realized, meanwhile, the disease information which is pre-stored in the system is convenient to supplement and perfect through timely input of a rehabilitation engineer, and therefore, the system is continuously learned in a long-time use process.
The data storage module 101 comprises a standard parameter library 1011 and a disease information library 1012, wherein the standard parameter library 1011 is used for storing standard parameters corresponding to various disease indexes, and the disease information library 1012 is used for storing disease information corresponding to deviation standard parameters and training guidance video materials adopted for disease. The data entry interface of the standard parameter library 1011 and the bias difference unit 1022 is connected to the information input terminal 201.
The data analysis module 102 includes a parameter comparison unit 1021, a higher difference unit 1022 and a lower difference unit 1023, where the parameter comparison unit 1021 is configured to compare the scale information data entered by the information input terminal 201 with the data in the standard parameter library 1011, and specifically, after the parameter comparison unit 1021 receives the input information data, searches the standard parameter corresponding to the corresponding identifier in the standard parameter library 1011 according to the identifier of the input information data, and compares the input information data, and re-identifies the compared input information data, where the data in the normal value range is discarded, and if the data is higher or lower, the data is transferred to the higher difference unit 1022 or the lower difference unit 1023, where the higher difference unit 1022 is used to temporarily store the higher difference, and where the lower difference unit 1023 is used to temporarily store the lower difference, and where the higher difference unit 1022 and the lower difference unit 1023 are stored in a first-in first-out data storage mode.
The disease condition input information parameters correspond to standard parameters, and different disease conditions are often generated when the disease condition input information parameters are higher than lower than the disease condition input information parameters, so that the disease condition input information parameters are required to be correspondingly separated, a higher difference value unit 1022 and a form generation unit 1033 are adopted to be temporarily stored respectively, so that data can be conveniently fetched in the subsequent evaluation, meanwhile, the higher difference value unit 1022 and the lower difference value unit 1023 adopt a first-in first-out data storage mode, the fact that the service system 1 possibly serves a plurality of interaction terminals 2 at the same time is considered, and queuing is carried out on information data transmitted by the interaction terminals 2 at the same time so as to slow down data fetching pressure in the operation of the service system 1 in a peak mode.
The evaluation output module 103 includes a data retrieving unit 1031, a training plan generating unit 1032 and a form generating unit 1033, where the data retrieving unit 1031 is configured to retrieve information data in the illness state information base 1012, the higher difference unit 1022 and the lower difference unit 1023 as required, the requirement standard is based on the identifier of the retrieved data, that is, the corresponding data is retrieved according to the identifier, the data retrieving unit 1031 respectively corresponds the retrieved data to the training plan generating unit 1032 and the form generating unit 1033, the training plan generating unit 1032 is configured to perform weight calculation on the data obtained from the higher difference unit 1022 and the lower difference unit 1023, calculate a single training time length and a training sequence according to the weight, output training guidance videos corresponding to the identifiers of the higher difference unit 1022 and the lower difference unit 1023 in the illness state information base 1012, and the training sequence and the training time length, and the form generating unit 1033 is configured to output illness state information corresponding to the identifiers of the higher difference unit 1022 and the lower difference unit 1023 in the form to the image output terminal 203.
The weight calculation method in the training plan generation unit 1032 is performed as follows:
in the formula (1), f represents the deviation degree of the disease index parameter from the standard parameter; Δx represents the deviation value of the disease index parameter from the standard parameter, and the deviation value is always positive, and the deviation value unit 1022 and the deviation value unit 1023 are respectively corresponding to the deviation value from high to low; x represents the upper limit value or the lower limit value of the standard parameter corresponding to Deltax (the standard parameters are all range values, are lower than the lower limit value, belong to a lower symptom class, are higher than the upper limit value and belong to a higher symptom class); in the formula (2), h i Representing the training time of the ith item; h represents the total duration of a single training; f (f) i The deviation degree of the index of the ith disease is calculated by the formula (1); m represents the total number of terms of the index of the condition.
Thus, the training plan generating unit 1032 is configured to perform weight calculation on the data acquired from the higher difference unit 1022 and the lower difference unit 1023, and calculate a single training duration and training sequence according to the weight, which specifically includes: the m disease indexes calculated according to the formula (1) are arranged in a reverse order, the corresponding training item sequences are arranged according to the reverse order, namely, the items to be trained are sequentially and preferentially carried out according to the deviation degree of the disease index parameters relative to the standard parameters, and then the required training duration of each item in the total duration of the current training is calculated according to the formula (2).
Therefore, the user can train the children in turn according to the sequence of training items and the corresponding training time, the training sequence and the training time are determined by the deviation degree of the disease indexes, and the training system has strong pertinence of the rehabilitation training, so that the rehabilitation training is more scientific and reasonable.
On the other hand, because the data calculation speeds in the parameter comparison unit 1021 and the form generation unit 1033 are different, the parameter comparison unit 1021 and the form generation unit 1033 are respectively arranged in the data analysis module 102 and the evaluation output module 103 to calculate the data, so that the data calculation at two sides can be independently performed at the same time, and the data transmission is performed according to the principle of 'first in first out', the comprehensive operation efficiency of the service system 1 can be ensured, and the operation efficiency of the module can be optimized when the service system 1 simultaneously serves a plurality of interactive terminals 2.
It is noted that relational terms such as first and second, and the like are used solely to distinguish one entity or action from another entity or action without necessarily requiring or implying any actual such relationship or order between such entities or actions. Moreover, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus.
Although embodiments of the present application have been shown and described, it will be understood by those skilled in the art that various changes, modifications, substitutions and alterations can be made therein without departing from the principles and spirit of the application, the scope of which is defined in the appended claims and their equivalents.
Claims (5)
1. An intelligent evaluation training system for children rehabilitation, which is characterized in that: the system comprises a service system (1) and an interaction terminal (2), wherein the service system (1) is used for data storage and calculation, the interaction terminal (2) is used for terminal-to-user interaction and information display, the service system (1) comprises a data storage module (101), a data analysis module (102) and an evaluation output module (103), data interactive transmission is realized among the data storage module (101), the data analysis module (102) and the evaluation output module (103), the data storage module (101) is used for storing various disease information data required by children rehabilitation, the data analysis module (102) is used for analyzing and calculating disease scale information data input by a user and calling disease standard parameter data in the data storage module (101), the disease index parameter is compared with standard parameter, the evaluation output module (103) is used for reading comparison results of the data analysis module (102), generating evaluation results and specific training plans corresponding to the comparison results of the data analysis module (102), and transmitting the finally obtained evaluation results and training plans to the interaction terminal (2);
the interactive terminal (2) comprises an information input terminal (201), an audio output terminal (202) and an image output terminal (203), wherein the information input terminal (201) is used for a user to input disorder scale information, the information input terminal (201) is also used for a professional rehabilitation engineer to input new disorder information into the data storage module (101) to update a database in the data storage module (101), the audio output terminal (202) is used for outputting instruction information, the image output terminal (203) is used for displaying an evaluation result and a training plan of the evaluation output module (103) on a screen, and the display information comprises the evaluation result, the training plan and corresponding training guidance videos; the data analysis module (102) comprises a parameter comparison unit (1021), a higher difference unit (1022) and a lower difference unit (1023), wherein the parameter comparison unit (1021) is used for comparing the scale information data input by the information input terminal (201) with the data in the standard parameter library (1011), the higher difference unit (1022) is used for temporarily storing higher differences, and the lower difference unit (1023) is used for temporarily storing lower differences; the evaluation output module (103) comprises a data calling unit (1031), a training plan generating unit (1032) and a form generating unit (1033), wherein the data calling unit (1031) is used for calling information data in a disease information base (1012), an upper difference unit (1022) and a lower difference unit (1023) according to needs, the training plan generating unit (1032) is used for calculating weights of the data obtained from the upper difference unit (1022) and the lower difference unit (1023) and calculating single training time and training sequence according to the weights, and the form generating unit (1033) is used for outputting disease information corresponding to identifiers of the upper difference unit (1022) and the lower difference unit (1023) in a disease information base (1012) to the image output terminal (203) in a form.
2. An intelligent evaluation training system for child rehabilitation according to claim 1, wherein: the service system (1) and the interactive terminal (2) are mutually independent, and data transmission is carried out through cable or wireless communication connection.
3. An intelligent evaluation training system for child rehabilitation according to claim 1, wherein: the data storage module (101) comprises a standard parameter library (1011) and a disease information library (1012), the standard parameter library (1011) is used for storing standard parameters corresponding to various disease indexes, the disease information library (1012) is used for storing disease information corresponding to deviation standard parameters and training guidance video materials adopted for disease, and the standard parameter library (1011) is connected with the data input interface of the deviation high difference unit (1022) and the information input terminal (201).
4. An intelligent evaluation training system for child rehabilitation according to claim 1, wherein: the storage mode of the higher difference unit (1022) and the lower difference unit (1023) is a first-in first-out data storage mode.
5. An intelligent evaluation training system for child rehabilitation according to claim 1, wherein: the basic parameters of the weight calculation adopt the deviation degree of the disease index parameters compared with the standard parameters.
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| CN115798677B (en) * | 2022-11-08 | 2023-06-06 | 正德(海南)康复医疗中心管理有限责任公司 | Intelligent child rehabilitation management system and method based on big data |
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