CN116913446A - Centralized management and learning system for rehabilitation exercise - Google Patents
Centralized management and learning system for rehabilitation exercise Download PDFInfo
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Abstract
The application relates to a centralized management and learning system for rehabilitation exercise, which is based on implementation of the scheme, can conduct specialized education on patients in various special departments in clinical departments, guide the patients to conduct corresponding rehabilitation functional exercises according to rehabilitation exercise audios and videos set in various departments, judge whether rehabilitation somatosensory data of each patient reach preset rehabilitation data in various departments by utilizing preset rehabilitation data, output corresponding rehabilitation evaluation results and further guide the patients to conduct rehabilitation exercises. By adopting the scheme, the patients can be uniformly and professionally subjected to targeted rehabilitation exercise in various departments, the rehabilitation defect caused by that clinical nurses do not professional or cannot participate in rehabilitation training in the whole course is avoided, and the patients can be actively supervised through the scheme, so that the rehabilitation efficacy is improved.
Description
Technical Field
The disclosure relates to the technical field of medical rehabilitation, in particular to a rehabilitation exercise centralized management and learning method, a system and electronic equipment.
Background
With the comprehensive understanding of disease treatment, rehabilitation training plays an increasingly important role in the whole disease treatment process. The physical strength of the patient can be obviously recovered through rehabilitation training, and the physical function of the patient can be well recovered through simple skeletal muscle movement and aerobic training, so that the resistance of the patient is improved. During exercise, the confidence of the patient in fighting against the disease can be improved, and the disease has certain therapeutic effect on the disease in physiology and psychology. Has obvious promotion effect on special joint and motion functions, especially the operations of hands, joints, spines and the like, and early functional training after the operation is very important for restoring the functions of the operated organs.
Therefore, the rehabilitation training after the operation is performed in an early stage and is performed step by step under the guidance of doctors, so that a good rehabilitation training effect can be achieved.
At present, the functional exercises of the special departments of the clinical departments are scattered, each department automatically produces functional exercise ventilating and teaching videos, and unified ventilating and teaching cannot be realized. Although the clinical responsibility nurse can pay attention to the condition of the functional exercise of the patient when nursing the patient, the clinical responsibility nurse cannot keep the complete accompanying participation of the medical rehabilitation of the patient, and other nurses/doctors have uncertainty on the functional exercise effect of the patient, so that the active guiding and supervising effects on the rehabilitation functional exercise of the patient exist, and the exercise rehabilitation effect can be discounted.
Disclosure of Invention
In order to solve the problems, the application provides a rehabilitation exercise centralized management and learning method, a system and electronic equipment.
In one aspect of the present application, a rehabilitation exercise centralized management and learning method is provided, including the following steps:
preparing rehabilitation function exercise audio and video and rehabilitation data required by various diseases, and storing the rehabilitation function exercise audio and video and the rehabilitation data in a background database in a distributed manner;
logging in a background server through a terminal APP, uploading the doctor information of the current patient, and extracting the disease attribute of the current patient from the doctor information;
according to the disease attribute of the current patient, matching the rehabilitation function exercise audio and video and rehabilitation data corresponding to the disease attribute from the background database and binding the rehabilitation function exercise audio and video and rehabilitation data under the visit ID of the current patient;
and retrieving and viewing the rehabilitation function exercise audio/video and rehabilitation data bound to the current patient under the visit ID through the terminal APP.
As an optional embodiment of the present application, optionally, further comprising:
collecting real-time somatosensory data of the current patient, which is trained by the current patient along with the rehabilitation function exercise audios and videos, through somatosensory equipment worn by the current patient;
and reporting the real-time somatosensory data to the background server through the somatosensory equipment, and binding the real-time somatosensory data under the treatment ID of the current patient.
As an optional embodiment of the present application, optionally, further comprising:
transmitting the real-time somatosensory data and the rehabilitation data to a data comparison module deployed on the background server;
the data comparison module analyzes the real-time somatosensory data to obtain somatosensory data of different exercise types, compares the somatosensory data of each type with corresponding rehabilitation data in the rehabilitation data respectively, and outputs corresponding comparison results;
binding the comparison result under the visit ID of the current patient, and sending the comparison result under each type to a terminal APP.
As an optional embodiment of the present application, optionally, the data comparison module further includes:
judging whether the comparison result under each type meets the standard or not:
if the standard is met, corresponding standard information is issued to the terminal APP;
if the rehabilitation data does not reach the standard, issuing corresponding type of the non-standard information to the terminal APP, and synchronously issuing the corresponding type of the rehabilitation data to the terminal APP.
As an optional embodiment of the present application, optionally, the data comparison module further includes:
judging whether the standard type in the real-time somatosensory data exceeds 2/3 of the rehabilitation data type in the rehabilitation data or not:
if the real-time somatosensory data of the current patient to exercise is qualified, sending a qualified mark to the terminal APP, and displaying the qualified mark after the terminal APP receives the qualified mark;
if the real-time somatosensory data of the current patient to exercise is judged to be unqualified, an unqualified mark is sent to the terminal APP, and the unqualified mark is displayed after the terminal APP receives the unqualified mark.
As an optional embodiment of the present application, optionally, after outputting the corresponding comparison result, the method further includes:
notifying a corresponding background manager to perform rehabilitation evaluation on the current patient;
a background manager logs in the background server, and after authorized verification, the comparison result bound to the current patient's visit ID is called and checked;
judging whether the comparison result of the current patient meets the standard or not:
if the patient meets the standard, generating a follow-up record of the current patient, and registering the follow-up record under the visit ID of the current patient;
if the patient does not reach the standard, generating an order record of the current patient, and registering the order record under the visit ID of the current patient; and issuing the medical order record to a terminal APP through the background server to remind the current patient to execute the medical order record.
As an optional embodiment of the present application, optionally, preparing rehabilitation function exercise audio/video and rehabilitation data required for various diseases, and storing the rehabilitation function exercise audio/video and the rehabilitation data in a background database in a distributed manner, including:
according to departments to which the diseases belong, preparing a plurality of different types of rehabilitation function exercise audios and videos and corresponding rehabilitation data for each department;
different storage addresses are distributed in a background database for each department, and the storage addresses are stored in the background database;
and according to the storage addresses, the rehabilitation function exercise audios and videos of each department and the corresponding rehabilitation data are stored in a distributed mode on the corresponding storage addresses in a background database.
In another aspect of the present application, a rehabilitation exercise centralized management and learning system is provided, comprising:
the data preparation module is used for preparing rehabilitation function exercise audio and video and rehabilitation data required by various diseases and storing the rehabilitation function exercise audio and video and the rehabilitation data in a background database in a distributed manner;
the disease attribute extraction module is used for logging in a background server through a terminal APP, uploading the treatment information of the current patient and extracting the disease attribute of the current patient from the treatment information;
the data matching module is used for matching the rehabilitation function exercise audio and video and the rehabilitation data corresponding to the disease attribute from the background database according to the disease attribute of the current patient and binding the rehabilitation function exercise audio and video and the rehabilitation data under the visit ID of the current patient;
and the learning module is used for retrieving and viewing the rehabilitation function exercise audio/video and rehabilitation data bound to the current patient under the visit ID through the terminal APP.
In another aspect, the present application further provides an electronic device, including:
a processor;
a memory for storing processor-executable instructions;
wherein the processor is configured to implement the rehabilitation exercise centralized management and learning method when executing the executable instructions.
The application has the technical effects that:
based on the implementation of the scheme, the rehabilitation function exercise audio-video and rehabilitation data required by various diseases are prepared, and the rehabilitation function exercise audio-video and the rehabilitation data are stored in a background database in a distributed manner; logging in a background server through a terminal APP, uploading the doctor information of the current patient, and extracting the disease attribute of the current patient from the doctor information; according to the disease attribute of the current patient, matching the rehabilitation function exercise audio and video and rehabilitation data corresponding to the disease attribute from the background database and binding the rehabilitation function exercise audio and video and rehabilitation data under the visit ID of the current patient; and retrieving and viewing the rehabilitation function exercise audio/video and rehabilitation data bound to the current patient under the visit ID through the terminal APP. Can carry out the expert to each special patient in clinical department and announce and teach, instruct the patient to take corresponding rehabilitation function exercise according to the rehabilitation exercise audio-visual frequency that each branch of academic or vocational study set for to can utilize the rehabilitation data of predetermineeing, judge whether each patient's recovered somatosensory data reaches the rehabilitation data of predetermineeing of branch of academic or vocational study, and output the rehabilitation evaluation result that corresponds, further instruct the patient to take rehabilitation exercise. By adopting the scheme, the patients can be uniformly and professionally subjected to targeted rehabilitation exercise in various departments, the rehabilitation defect caused by that clinical nurses do not professional or cannot participate in rehabilitation training in the whole course is avoided, and the patients can be actively supervised through the scheme, so that the rehabilitation efficacy is improved.
Other features and aspects of the present disclosure will become apparent from the following detailed description of exemplary embodiments, which proceeds with reference to the accompanying drawings.
Drawings
The accompanying drawings, which are incorporated in and constitute a part of this specification, illustrate exemplary embodiments, features and aspects of the present disclosure and together with the description, serve to explain the principles of the disclosure.
FIG. 1 is a schematic diagram showing the implementation flow of the rehabilitation exercise centralized management and learning method of the present application;
FIG. 2 is a schematic diagram of an application system of the present application;
FIG. 3 is a schematic diagram of an alignment mechanism for data alignment according to the present application;
FIG. 4 is a schematic diagram of a storage mechanism for data of each department according to the present application;
fig. 5 shows a schematic application diagram of the electronic device of the present application.
Detailed Description
Various exemplary embodiments, features and aspects of the disclosure will be described in detail below with reference to the drawings. In the drawings, like reference numbers indicate identical or functionally similar elements. Although various aspects of the embodiments are illustrated in the accompanying drawings, the drawings are not necessarily drawn to scale unless specifically indicated.
The word "exemplary" is used herein to mean "serving as an example, embodiment, or illustration. Any embodiment described herein as "exemplary" is not necessarily to be construed as preferred or advantageous over other embodiments.
In addition, numerous specific details are set forth in the following detailed description in order to provide a better understanding of the present disclosure. It will be understood by those skilled in the art that the present disclosure may be practiced without some of these specific details. In some instances, well known means, elements, and circuits have not been described in detail so as not to obscure the present disclosure.
Example 1
As shown in fig. 1, in one aspect of the present application, a rehabilitation exercise centralized management and learning method is provided, including the following steps:
s1, preparing rehabilitation function exercise audio and video and rehabilitation data required by various diseases, and storing the rehabilitation function exercise audio and video and the rehabilitation data in a background database in a distributed manner;
s2, logging in a background server through a terminal APP, uploading the treatment information of the current patient, and extracting the disease attribute of the current patient from the treatment information;
s3, according to the disease attribute of the current patient, matching the rehabilitation function exercise audio/video and rehabilitation data corresponding to the disease attribute from the background database and binding the rehabilitation function exercise audio/video and rehabilitation data under the visit ID of the current patient;
s4, retrieving and checking the rehabilitation function exercise audio/video and rehabilitation data bound to the current patient under the visit ID through the terminal APP.
According to the application, through specialized education on patients in various specialized departments in a clinical department, the patients are guided to perform corresponding rehabilitation functional exercises according to rehabilitation exercise audios and videos set in various departments, whether the rehabilitation somatosensory data of each patient reach the preset rehabilitation data in various departments can be judged by utilizing the preset rehabilitation data, and corresponding rehabilitation evaluation results are output to further guide the patients to perform rehabilitation exercises.
As shown in fig. 2, the present application relates to several application subjects as follows:
the terminal APP, the patient logs in the background server of the hospital through the management background APP installed on the terminal such as the smart phone, and establishes own basic information including the diagnosis ID on the server through logging in the background server, after the follow-up diagnosis of the patient, the diagnosis information of the patient can be stored on the background server together and bound under the diagnosis ID of each patient.
The background server can process basic information data of a patient and data uploaded by the intelligent somatosensory equipment, compares the reported real-time somatosensory data with corresponding rehabilitation data in the background database, outputs corresponding comparison results, and sends corresponding rehabilitation judgment information to the terminal APP.
The background database is mainly used for storing rehabilitation function exercise audios and videos preset by each department and corresponding set rehabilitation data. Each department prepares a rehabilitation function exercise audio and video and a corresponding rehabilitation index for performing rehabilitation training on the patient, and the corresponding data setting is specifically set by each department. The rehabilitation data, such as standard data under different rehabilitation indexes, are used for comparing and judging the real-time somatosensory data of the patient, the rehabilitation data comprise index data under various rehabilitation indexes, and specific settings, such as heart rate indexes, blood pressure indexes and the like, are carried out by various departments. The rehabilitation function exercise audio and video set by each department and corresponding rehabilitation data are stored in a background database according to the respective allocated storage addresses.
When guiding each patient to perform rehabilitation exercise, the patient needs to log in a background server through a terminal APP, corresponding visit information is called according to the visit ID of each patient, disease attributes of each patient are obtained from the visit information, and a disease department to which each patient belongs is judged. And then the rehabilitation function exercise test-taking diseases corresponding to the diseases of the corresponding families are called according to the disease attribute. And corresponding rehabilitation data, and training the rehabilitation function to perform audio and video and rehabilitation data, binding the rehabilitation data under the current patient's visit ID and informing the terminal.
After a patient logs in a background server through a terminal APP, the patient can check the rehabilitation function exercise audio and video and rehabilitation data bound under the visit ID of the patient, and can check the rehabilitation function exercise audio and video on the terminal APP and perform rehabilitation exercise according to the guidance of the video. In the rehabilitation exercise process, the somatosensory equipment collects the rehabilitation exercise somatosensory data of the patient and uploads the data to the background server, and then the real-time somatosensory data of the patient and the set rehabilitation data are compared and judged on the background server under various indexes.
As shown in fig. 3, as an alternative embodiment of the present application, optionally, further includes:
collecting real-time somatosensory data of the current patient, which is trained by the current patient along with the rehabilitation function exercise audios and videos, through somatosensory equipment worn by the current patient;
and reporting the real-time somatosensory data to the background server through the somatosensory equipment, and binding the real-time somatosensory data under the treatment ID of the current patient.
The somatosensory equipment is intelligent equipment capable of collecting physical sign data of a current patient, such as an intelligent bracelet and the like, and real-time somatosensory data generated when the current patient exercises along with the issued rehabilitation function exercise audio/video can be collected through the intelligent bracelet.
For example, the intelligent bracelet can collect real-time improvement data such as heart rate, blood pressure and the like of the current patient in the rehabilitation exercise process, and after the real-time improvement data are collected, the real-time somatosensory data are reported to a background server through a communication module (the current intelligent bracelet has a corresponding function) of the somatosensory equipment, and the real-time somatosensory data of the current patient are bound under the doctor ID of the current crime.
As for the interactive link between the somatosensory device and the background server, specific communication interfacing can be performed between the communication protocol of the somatosensory device and the background server, and the embodiment is not limited.
As shown in fig. 3, as an alternative embodiment of the present application, optionally, further includes:
transmitting the real-time somatosensory data and the rehabilitation data to a data comparison module deployed on the background server;
the data comparison module analyzes the real-time somatosensory data to obtain somatosensory data of different exercise types, compares the somatosensory data of each type with corresponding rehabilitation data in the rehabilitation data respectively, and outputs corresponding comparison results;
binding the comparison result under the visit ID of the current patient, and sending the comparison result under each type to a terminal APP.
A data comparison module is deployed on the background server, and mainly comprises the steps of comparing real-time somatosensory data of a current patient with rehabilitation data issued and bound to the patient's visit ID, and comparing the data under each rehabilitation index. For example, the heart rate data in the real-time somatosensory data of the current patient is compared with the heart rate index data in the corresponding rehabilitation data, so as to judge whether the heart rate data generated by the current patient matches the set rehabilitation heart rate index data when the current patient performs rehabilitation exercise according to the known audio/video.
After the data comparison module performs data comparison on the somatosensory data of each item of index data (corresponding to different exercise types), the corresponding comparison result is output, the corresponding comparison result is sent and bound under the visit ID of the current patient, the comparison result is sent to the terminal APP, and the patient is informed of checking the comparison result of the different exercise types of the patient, so that the rehabilitation exercise scheme is timely adjusted.
As an optional embodiment of the present application, optionally, the data comparison module further includes:
judging whether the comparison result under each type meets the standard or not:
if the standard is met, corresponding standard information is issued to the terminal APP;
if the rehabilitation data does not reach the standard, issuing corresponding type of the non-standard information to the terminal APP, and synchronously issuing the corresponding type of the rehabilitation data to the terminal APP.
The data comparison module analyzes real-time somatosensory data of a patient to acquire somatosensory data of different exercise types, and is convenient for comparison with different rehabilitation index data in the set rehabilitation data. That is, when analyzing real-time somatosensory data, the analysis is performed according to the index type in rehabilitation data, and data types corresponding to the respective indexes are generated.
Judging whether the comparison result under each type meets the standard or not, namely comparing the somatosensory data of different exercise types of the patient with corresponding rehabilitation index data in the rehabilitation data, so as to judge whether the data of each type of the patient meets the standard of the rehabilitation index data or not under the comparison of each index of the patient, and if the data meets the standard, sending corresponding standard-meeting information to a terminal APP; if the information does not reach the standard, synchronous issuing of the information which does not reach the standard and the corresponding type of rehabilitation index data to the terminal APP. That is, when the standard is not reached, the corresponding rehabilitation index data needs to be synchronously issued to the terminal APP, so that after the patient checks, the patient knows the comparison result which is not reached and the rehabilitation index data which needs to reach the standard.
As an optional embodiment of the present application, optionally, the data comparison module further includes:
judging whether the standard type in the real-time somatosensory data exceeds 2/3 of the rehabilitation data type in the rehabilitation data or not:
if the real-time somatosensory data of the current patient to exercise is qualified, sending a qualified mark to the terminal APP, and displaying the qualified mark after the terminal APP receives the qualified mark;
if the real-time somatosensory data of the current patient to exercise is judged to be unqualified, an unqualified mark is sent to the terminal APP, and the unqualified mark is displayed after the terminal APP receives the unqualified mark.
The standard-reaching judgment is carried out on various types of data of the patient, and the standard-reaching judgment is carried out on the whole real-time somatosensory data of the patient.
The number of standard data types of the patient needs to be judged to be qualified. If the number of the standard reaching data types of the patient exceeds 2/3 of the number of the recovery index data types in the recovery data, the real-time somatosensory data of the current patient is considered to be a qualified recovery exercise result, otherwise, the current patient is considered to be a disqualified exercise result.
For example, there are three types of rehabilitation indexes in the rehabilitation data, if at least two pieces of exercise data in the real-time somatosensory data of the patient reach the corresponding index standard, the current patient is considered to have at least two indexes reaching standards in the current rehabilitation index exercise process, and the whole somatosensory data of the current patient is considered to be qualified, otherwise, the whole somatosensory data of the current patient is considered to be unqualified.
The corresponding identification needs to be sent to the terminal APP, the qualified identification of the rehabilitation exercise is sent to the terminal APP when the terminal APP is qualified, the qualified identification of the rehabilitation exercise is displayed on the terminal APP after the terminal APP receives the identification, and otherwise, the corresponding unqualified identification is displayed. The type of identification is not limited.
As an optional embodiment of the present application, optionally, after outputting the corresponding comparison result, the method further includes:
notifying a corresponding background manager to perform rehabilitation evaluation on the current patient;
a background manager logs in the background server, and after authorized verification, the comparison result bound to the current patient's visit ID is called and checked;
judging whether the comparison result of the current patient meets the standard or not:
if the patient meets the standard, generating a follow-up record of the current patient, and registering the follow-up record under the visit ID of the current patient;
if the patient does not reach the standard, generating an order record of the current patient, and registering the order record under the visit ID of the current patient; and issuing the medical order record to a terminal APP through the background server to remind the current patient to execute the medical order record.
After the rehabilitation comparison result of the current patient is generated, a background manager is required to be informed in time to log in a background server, and follow-up records are carried out on the rehabilitation comparison result of each patient.
The background manager, such as a rehabilitation nursing doctor, can check the comparison result under the current patient's visit ID after logging in the background server through the respective terminal and after the internal identity authorization verification, and the background manager judges whether the patient reaches the standard.
The background manager can establish own standard, and the implementation is carried out by the background manager. If the comparison result of the current patient is considered to be up to standard by the background manager, the background manager can judge whether the current patient reaches the standard in the current comparison result based on the historical rehabilitation exercise data and the historical comparison result of the current patient: if the patient meets the standard, generating a follow-up record of the current patient on the background clothes by a background manager, and registering and recording the follow-up record under the visit ID; the follow-up records are set by a background manager, a series of follow-up logs of follow-up and corresponding follow-up comments and the like can be bound under the visit ID of the current patient, the follow-up patient can conveniently log in the background server, and the follow-up records of rehabilitation nursing doctors are checked. If the current patient does not reach the standard, a background administrator can generate an order record of the current patient, and instruct or remind the current patient of taking care of or focusing on rehabilitation exercise through the order. The medical order record is also registered under the visit ID of the current patient, and the subsequent patient can log in the background server through the terminal APP to check the medical order record generated by the administrator for the subsequent patient and execute the medical order record. After the remains are executed, the background server can be logged in at any time, and the patient uploads the execution result of the orders and reminds the corresponding background manager to check.
As shown in fig. 4, as an alternative embodiment of the present application, optionally, preparing rehabilitation function exercise audio/video and rehabilitation data required for diseases of various families, and storing the rehabilitation function exercise audio/video and rehabilitation data in a background database in a distributed manner, including:
according to departments to which the diseases belong, preparing a plurality of different types of rehabilitation function exercise audios and videos and corresponding rehabilitation data for each department;
different storage addresses are distributed in a background database for each department, and the storage addresses are stored in the background database;
and according to the storage addresses, the rehabilitation function exercise audios and videos of each department and the corresponding rehabilitation data are stored in a distributed mode on the corresponding storage addresses in a background database.
Each department prepares the respective rehabilitation function exercise audio and video and the corresponding rehabilitation data, each department prepares the audio and video data under different rehabilitation indexes and the rehabilitation index data of each audio and video data, and allocates the corresponding distributed storage address for each department.
After each department prepares the rehabilitation function exercise audio/video and the corresponding rehabilitation data of the own department, the rehabilitation function exercise audio/video and the corresponding rehabilitation data of each department are reported to a background server through the own processing terminal, a background manager performs distributed storage on the rehabilitation function exercise audio/video and the corresponding rehabilitation data of each department, and the rehabilitation function exercise audio/video and the rehabilitation data of each department are stored in the corresponding storage position in the background database according to the pre-allocated storage address.
Therefore, by adopting the scheme, the patients can be uniformly and professionally subjected to targeted rehabilitation exercise in various departments, the rehabilitation defect caused by that clinical nurses are not professional or cannot participate in the rehabilitation training in the whole course is avoided, and the patients can be actively supervised through the scheme, so that the rehabilitation efficacy is improved.
It should be apparent to those skilled in the art that implementing all or part of the above-described embodiments may be accomplished by computer programs to instruct related hardware, and the programs may be stored in a computer readable storage medium, which when executed may include the processes of the embodiments of the controls described above. It will be appreciated by those skilled in the art that implementing all or part of the above-described embodiments may be accomplished by computer programs to instruct related hardware, and the programs may be stored in a computer readable storage medium, which when executed may include the processes of the embodiments of the controls described above. The storage medium may be a magnetic disk, an optical disc, a Read-only memory (ROM), a random access memory (RandomAccessMemory, RAM), a flash memory (flash memory), a hard disk (HDD), or a Solid State Drive (SSD); the storage medium may also comprise a combination of memories of the kind described above.
Example 2
Based on the implementation principle of embodiment 1, in another aspect of the present application, a rehabilitation exercise centralized management and learning system is provided, including:
the data preparation module is used for preparing rehabilitation function exercise audio and video and rehabilitation data required by various diseases and storing the rehabilitation function exercise audio and video and the rehabilitation data in a background database in a distributed manner;
the disease attribute extraction module is used for logging in a background server through a terminal APP, uploading the treatment information of the current patient and extracting the disease attribute of the current patient from the treatment information;
the data matching module is used for matching the rehabilitation function exercise audio and video and the rehabilitation data corresponding to the disease attribute from the background database according to the disease attribute of the current patient and binding the rehabilitation function exercise audio and video and the rehabilitation data under the visit ID of the current patient;
and the learning module is used for retrieving and viewing the rehabilitation function exercise audio/video and rehabilitation data bound to the current patient under the visit ID through the terminal APP.
The function and interaction of the above-described individual modules are described with particular reference to embodiment 1.
The modules or steps of the application described above may be implemented in a general-purpose computing device, they may be centralized in a single computing device, or distributed across a network of computing devices, or they may alternatively be implemented in program code executable by a computing device, such that they may be stored in a memory device and executed by a computing device, or they may be separately fabricated into individual integrated circuit modules, or multiple modules or steps within them may be fabricated into a single integrated circuit module. Thus, the present application is not limited to any specific combination of hardware and software.
Example 3
As shown in fig. 5, in still another aspect, the present application further provides an electronic device, including:
a processor;
a memory for storing processor-executable instructions;
wherein the processor is configured to implement the rehabilitation exercise centralized management and learning method when executing the executable instructions.
Embodiments of the present disclosure provide for an electronic device that includes a processor and a memory for storing processor-executable instructions. Wherein the processor is configured to implement any of the rehabilitation exercise centralized management and learning methods described above when executing the executable instructions.
Here, it should be noted that the number of processors may be one or more. Meanwhile, in the electronic device of the embodiment of the disclosure, an input device and an output device may be further included. The processor, the memory, the input device, and the output device may be connected by a bus, or may be connected by other means, which is not specifically limited herein.
The memory is a computer-readable storage medium that can be used to store software programs, computer-executable programs, and various modules, such as: the rehabilitation exercise centralized management and learning method of the embodiment of the disclosure corresponds to a program or a module. The processor executes various functional applications and data processing of the electronic device by running software programs or modules stored in the memory.
The input device may be used to receive an input number or signal. Wherein the signal may be a key signal generated in connection with user settings of the device/terminal APP/server and function control. The output means may comprise a display device such as a display screen.
The foregoing description of the embodiments of the present disclosure has been presented for purposes of illustration and description, and is not intended to be exhaustive or limited to the embodiments disclosed. Many modifications and variations will be apparent to those of ordinary skill in the art without departing from the scope and spirit of the various embodiments described. The terminology used herein was chosen in order to best explain the principles of the embodiments, the practical application, or the technical improvement of the technology in the marketplace, or to enable others of ordinary skill in the art to understand the embodiments disclosed herein.
Claims (9)
1. The rehabilitation exercise centralized management and learning method is characterized by comprising the following steps of:
preparing rehabilitation function exercise audio and video and rehabilitation data required by various diseases, and storing the rehabilitation function exercise audio and video and the rehabilitation data in a background database in a distributed manner;
logging in a background server through a terminal APP, uploading the doctor information of the current patient, and extracting the disease attribute of the current patient from the doctor information;
according to the disease attribute of the current patient, matching the rehabilitation function exercise audio and video and rehabilitation data corresponding to the disease attribute from the background database and binding the rehabilitation function exercise audio and video and rehabilitation data under the visit ID of the current patient;
and retrieving and viewing the rehabilitation function exercise audio/video and rehabilitation data bound to the current patient under the visit ID through the terminal APP.
2. The rehabilitation exercise central management and learning method according to claim 1, further comprising:
collecting real-time somatosensory data of the current patient, which is trained by the current patient along with the rehabilitation function exercise audios and videos, through somatosensory equipment worn by the current patient;
and reporting the real-time somatosensory data to the background server through the somatosensory equipment, and binding the real-time somatosensory data under the treatment ID of the current patient.
3. The rehabilitation exercise central management and learning method according to claim 2, further comprising:
transmitting the real-time somatosensory data and the rehabilitation data to a data comparison module deployed on the background server;
the data comparison module analyzes the real-time somatosensory data to obtain somatosensory data of different exercise types, compares the somatosensory data of each type with corresponding rehabilitation data in the rehabilitation data respectively, and outputs corresponding comparison results;
binding the comparison result under the visit ID of the current patient, and sending the comparison result under each type to a terminal APP.
4. The rehabilitation exercise central management and learning method according to claim 3, further comprising, while the data comparison module is comparing:
judging whether the comparison result under each type meets the standard or not:
if the standard is met, corresponding standard information is issued to the terminal APP;
if the rehabilitation data does not reach the standard, issuing corresponding type of the non-standard information to the terminal APP, and synchronously issuing the corresponding type of the rehabilitation data to the terminal APP.
5. The rehabilitation exercise central management and learning method according to claim 4, characterized by further comprising, while the data comparison module is comparing:
judging whether the standard type in the real-time somatosensory data exceeds 2/3 of the rehabilitation data type in the rehabilitation data or not:
if the real-time somatosensory data of the current patient to exercise is qualified, sending a qualified mark to the terminal APP, and displaying the qualified mark after the terminal APP receives the qualified mark;
if the real-time somatosensory data of the current patient to exercise is judged to be unqualified, an unqualified mark is sent to the terminal APP, and the unqualified mark is displayed after the terminal APP receives the unqualified mark.
6. The rehabilitation exercise central management and learning method according to claim 3, further comprising, after outputting the corresponding comparison result:
notifying a corresponding background manager to perform rehabilitation evaluation on the current patient;
a background manager logs in the background server, and after authorized verification, the comparison result bound to the current patient's visit ID is called and checked;
judging whether the comparison result of the current patient meets the standard or not:
if the patient meets the standard, generating a follow-up record of the current patient, and registering the follow-up record under the visit ID of the current patient;
if the patient does not reach the standard, generating an order record of the current patient, and registering the order record under the visit ID of the current patient; and issuing the medical order record to a terminal APP through the background server to remind the current patient to execute the medical order record.
7. The rehabilitation exercise centralized management and learning method according to claim 1, wherein preparing rehabilitation function exercise audio and video and rehabilitation data required for diseases of various families and storing the rehabilitation function exercise audio and video and rehabilitation data in a background database in a distributed manner comprises:
according to departments to which the diseases belong, preparing a plurality of different types of rehabilitation function exercise audios and videos and corresponding rehabilitation data for each department;
different storage addresses are distributed in a background database for each department, and the storage addresses are stored in the background database;
and according to the storage addresses, the rehabilitation function exercise audios and videos of each department and the corresponding rehabilitation data are stored in a distributed mode on the corresponding storage addresses in a background database.
8. A rehabilitation exercise centralized management and learning system, comprising:
the data preparation module is used for preparing rehabilitation function exercise audio and video and rehabilitation data required by various diseases and storing the rehabilitation function exercise audio and video and the rehabilitation data in a background database in a distributed manner;
the disease attribute extraction module is used for logging in a background server through a terminal APP, uploading the treatment information of the current patient and extracting the disease attribute of the current patient from the treatment information;
the data matching module is used for matching the rehabilitation function exercise audio and video and the rehabilitation data corresponding to the disease attribute from the background database according to the disease attribute of the current patient and binding the rehabilitation function exercise audio and video and the rehabilitation data under the visit ID of the current patient;
and the learning module is used for retrieving and viewing the rehabilitation function exercise audio/video and rehabilitation data bound to the current patient under the visit ID through the terminal APP.
9. An electronic device, comprising:
a processor;
a memory for storing processor-executable instructions;
wherein the processor is configured to implement the rehabilitation exercise central management and learning method of any one of claims 1-8 when executing the executable instructions.
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| CN117854666A (en) * | 2024-03-07 | 2024-04-09 | 之江实验室 | Three-dimensional human body rehabilitation data set construction method and device |
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| Publication number | Priority date | Publication date | Assignee | Title |
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| CN117854666A (en) * | 2024-03-07 | 2024-04-09 | 之江实验室 | Three-dimensional human body rehabilitation data set construction method and device |
| CN117854666B (en) * | 2024-03-07 | 2024-06-04 | 之江实验室 | Three-dimensional human body rehabilitation data set construction method and device |
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