CN110782959A - Intelligent rehabilitation equipment background management system - Google Patents
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- G16H40/00—ICT specially adapted for the management or administration of healthcare resources or facilities; ICT specially adapted for the management or operation of medical equipment or devices
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- G16H—HEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA
- G16H50/00—ICT specially adapted for medical diagnosis, medical simulation or medical data mining; ICT specially adapted for detecting, monitoring or modelling epidemics or pandemics
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Abstract
The invention discloses a background management system for intelligent rehabilitation equipment, and relates to the technical field of intelligent medical rehabilitation. The invention comprises a data input unit, a processing unit, an output unit and a background management system; the data input unit comprises an equipment sensor module, a user information input module, a user command control module and a big data platform; the processing unit comprises a rehabilitation training algorithm model and a health grade evaluation model; the output unit is a data output module. The invention provides a background management system specially used for intelligent rehabilitation, valuable feedback information is acquired in stages, a rehabilitation training scheme is calculated according to requirements and relevant data, a final rehabilitation training scheme is formed through secondary improvement of a user, the rehabilitation scheme is formulated for the patient more quickly and accurately, and the rehabilitation effect and the use experience of rehabilitation equipment are improved.
Description
Technical Field
The invention belongs to the technical field of intelligent medical rehabilitation, and particularly relates to a background management system for intelligent rehabilitation equipment.
Background
Rehabilitation equipment is mainly equipment for helping patients to perform passive exercise and daily activities and promoting rehabilitation. Rehabilitation equipment is widely applied to medical institutions, old care institutions and common household environments, and the use method and the rehabilitation plan of the equipment are guided and formulated by medical staff or other professionals.
Along with the concept of interconnection of everything, the rehabilitation equipment is gradually developed towards intellectualization, and a large number of related rehabilitation products are developed. However, most of the existing products of this kind stay in the realization of the functions of the products and the interaction of information of the products, a background management system of a system is lacked, the equipment, the cloud background database, the background training model, the patients and the medical care personnel cannot be fused closely, meanwhile, the storage, the analysis and the sharing optimization of the rehabilitation experience data cannot be achieved, and the background management system is not perfect enough, so that the rehabilitation effect and the use experience are not satisfactory.
Disclosure of Invention
The invention aims to provide an intelligent rehabilitation equipment background management system, which is used for periodically acquiring valuable feedback information, calculating a rehabilitation training scheme according to requirements and related data, and forming a final rehabilitation training scheme through secondary improvement of a user by providing a background management system specially used for intelligent rehabilitation, so that the problems of insufficient perfection, poor rehabilitation effect and poor experience of the conventional intelligent medical background management system are solved.
In order to solve the technical problems, the invention is realized by the following technical scheme:
the invention relates to a background management system of intelligent rehabilitation equipment, which comprises a data input unit, a processing unit, an output unit and a background management system, wherein the data input unit comprises an equipment sensor module, a user information input module, a user command control module and a big data platform; the processing unit comprises a rehabilitation training algorithm model and a health grade evaluation model; the output unit is a data output module; the equipment sensor module, the user information input module, the user command control module, the big data platform, the rehabilitation training algorithm model, the health grade evaluation model and the data output module are all connected with the background management system;
the equipment sensor module is used for transmitting data acquired by a sensor on the rehabilitation equipment to the background management system; the user information input module is used for inputting personal information of a patient into the system; the big data platform is a background rehabilitation database;
the rehabilitation training algorithm model is used for fusing all input data and outputting a preliminary rehabilitation training plan scheme through sorting and calculation; the health grade evaluation model is used for evaluating the rehabilitation state and the health grade of the patient according to all input data;
the data output module is used for outputting background data and a calculation result.
Preferably, the background management system further comprises a user login and registration management module, an equipment binding relationship module and a user use information feedback module; the user login and registration management module is used for managing and storing the information registered by the new user and verifying the login information; the device binding relation module is used for establishing connection and binding of the intelligent rehabilitation device and the user mobile terminal APP; the user use information feedback module is used for collecting user feedback information.
The modules are mutually divided, and the modules are mutually combined through the background management system as a pivot, and the whole system forms a plurality of closed loops, so that the intelligent rehabilitation equipment can continuously learn by self and is optimized and perfected.
Preferably, the personal information input by the user information input module includes age, gender, height, weight, rehabilitation joint type, joint damage type and degree, past medical history and the like, and such information is used for providing data support for a rehabilitation training model in the background management system so as to provide a personalized customized rehabilitation training plan for the patient.
Preferably, the rehabilitation training algorithm model performs fusion calculation on data transmitted to the background to output a primary rehabilitation training plan scheme, sends the scheme to the mobile terminal device, the medical staff performs secondary adjustment to form a final rehabilitation training plan, and the background management system sends the scheme to the intelligent rehabilitation device and enables the intelligent rehabilitation device to execute the plan scheme.
Preferably, the user login and registration management module performs registration management on the new user, including information entry of the new user, account duplication checking of the new user, verification code issuing and verification, and comparison and verification of user login information and database information.
Preferably, the intelligent rehabilitation device has a unique device identifier and a unique serial number, and each user has a unique registered account.
Preferably, the specific workflow of the device binding relationship module is as follows: the mobile terminal APP obtains a unique device identifier and a serial number by scanning a two-dimensional code on a device body, the APP uploads the serial number to a device binding relation module of a background management system, the device binding relation module issues a binding command to the intelligent rehabilitation device, the device prompts a user whether to agree to binding through a loudspeaker or an indicator lamp, and after the user clicks a corresponding determination key, the device binding relation module informs the background management system to establish a binding relation between the device identifier and the serial number; if not, the corresponding cancel button is not operated or clicked to cancel the binding operation.
The invention has the following beneficial effects:
(1) the invention provides a background management system specially used for intelligent rehabilitation, valuable feedback information is acquired in stages, so that reminding can be gradually improved, a rehabilitation training scheme is calculated according to requirements and related data, a final rehabilitation training scheme is formed through secondary improvement of a user, the rehabilitation scheme is made for a patient more quickly and accurately, and the rehabilitation effect and the use experience of rehabilitation equipment are improved;
(2) according to the invention, a set of health development platform from hardware equipment, data acquisition to a software model and cloud big data is established, and a rehabilitation training algorithm model and a health grade evaluation model are utilized to make a rehabilitation training scheme and evaluate the health condition of a patient, so that the degrees of storage, analysis and sharing optimization of rehabilitation experience data are improved, and a background management system is perfected.
Of course, it is not necessary for any product in which the invention is practiced to achieve all of the above-described advantages at the same time.
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In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the drawings used in the description of the embodiments will be briefly introduced below, and it is obvious that the drawings in the following description are only some embodiments of the present invention, and it is obvious for those skilled in the art that other drawings can be obtained according to the drawings without creative efforts.
Fig. 1 is a schematic structural diagram of a background management system of an intelligent rehabilitation device according to the present invention;
fig. 2 is a data flow chart of the background management system.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
Referring to fig. 1, the invention relates to a background management system for intelligent rehabilitation equipment, which comprises a data input unit, a processing unit, an output unit and a background management system, wherein the data input unit comprises an equipment sensor module, a user information input module, a user command control module and a big data platform; the processing unit comprises a rehabilitation training algorithm model and a health grade evaluation model; the output unit is a data output module; the device sensor module, the user information input module, the user command control module, the big data platform, the rehabilitation training algorithm model, the health grade evaluation model and the data output module are all connected with a background management system, the intelligent rehabilitation device background management system is a central part of the whole rehabilitation device, is used as a connecting link of the intelligent rehabilitation device and the mobile terminal APP and is responsible for all large-scale operations, and the intelligent rehabilitation device background management system, the intelligent rehabilitation device and the mobile terminal APP are connected through WiFi, wherein the intelligent rehabilitation device and the mobile terminal APP can optionally synchronize basic control commands through Bluetooth;
the device sensor module is used for transmitting data collected by a sensor on the rehabilitation device to the background management system, the background management system can acquire the motion condition of a patient through the device sensor data module, so that the system can formulate a rehabilitation curve for the patient and medical personnel to check, and can update a rehabilitation training plan to the device local machine in time according to feedback, and in addition, the sensor data module comprises a sound recognition part, namely, the background management system of the sensor data processing module can easily recognize the voice command and the voice feedback of the user; the user information input module is used for inputting the personal information of the patient into the system; the big data platform is a background rehabilitation database which is specially established for various sensors and other experience data related to intelligent rehabilitation equipment, and the related data comprises but is not limited to: device history data, similar rehabilitation device success cases, traditional medical personnel rehabilitation clinical data, user feedback data, rehabilitation data of different types of patients, sensor data models, voice recognition engines, tone word recognition engines and the like;
referring to fig. 2, the rehabilitation training algorithm model is used for fusing all input data and outputting a preliminary rehabilitation training plan by sorting, calculating and outputting, and the rehabilitation training algorithm model calculates and outputs a preliminary rehabilitation training plan by fusing data such as sensor data, patient conditions, patient personal information, mobile terminal configuration information, a big database, voice analysis data and the like; the health grade evaluation model is used for evaluating the rehabilitation state and the health grade of a patient according to all input data, and is mainly used for comparing a sensor data curve transmitted into the health grade evaluation model with the personal information of the patient according to a sensor data curve transmitted into the health grade evaluation model by a device end and data in a big data platform so as to obtain a corresponding health grade and informing the user through a background management system;
the data output module is used for outputting background data and a calculation result, and the corresponding receiving party is as follows: intelligent rehabilitation equipment and a mobile terminal APP; the data output to the intelligent rehabilitation device mainly comprises a rehabilitation training plan scheme, a voice recognition result, a device control instruction and the like; the data output to the mobile terminal APP mainly include: the data of the running state data of the equipment, the data of each sensor of the equipment, the output result of the rehabilitation training algorithm model, the output result of the health grade evaluation model and the like.
The background management system also comprises a user login and registration management module, an equipment binding relation module and a user use information feedback module; the user login and registration management module is used for managing and storing the information registered by the new user and verifying the login information; the device binding relation module is used for establishing connection and binding of the intelligent rehabilitation device and the user mobile terminal APP; the user uses the information feedback module to be used for collecting user feedback information, the background management system can pop up a dialog box inquiring the use experience feedback at the mobile terminal APP after the periodic process of the rehabilitation training is completed, the user can input relevant use feedback according to the prompt of the dialog box, and the background management system saves the feedback information in a big data platform through the module so as to be used for learning optimization of a rehabilitation training algorithm model and a health grade evaluation model.
The personal information input by the user information input module comprises age, gender, height, weight, rehabilitation joint types, joint damage types and degrees, past medical history and the like, and is used for providing data support for a rehabilitation training model in the background management system so as to provide a personalized and customized rehabilitation training plan for a patient.
The rehabilitation training algorithm model performs fusion calculation on data transmitted to the background to output a preliminary rehabilitation training plan scheme, the scheme is sent to the mobile terminal device, medical workers perform secondary adjustment to form a final rehabilitation training plan, and the background management system sends the scheme to the intelligent rehabilitation device and enables the intelligent rehabilitation device to execute the plan scheme.
The user login and registration management module is used for managing the registration of the new user and comprises information input of the new user, account number duplication checking of the new user, verification code issuing and verification, and comparison and verification of user login information and database information.
The intelligent rehabilitation equipment has a unique equipment identifier and a unique serial number, and each user has a unique registered account.
The specific work flow of the equipment binding relation module is as follows: the mobile terminal APP obtains a unique device identifier and a serial number by scanning a two-dimensional code on a device body, the APP uploads the serial number to a device binding relation module of a background management system, the device binding relation module issues a binding command to the intelligent rehabilitation device, the device prompts a user whether to agree to binding through a loudspeaker or an indicator lamp, and after the user clicks a corresponding determination key, the device binding relation module informs the background management system to establish a binding relation between the device identifier and the serial number; if not, the corresponding cancel button is not operated or clicked to cancel the binding operation.
One specific application of this embodiment is:
because each module divides work each other and through the mutual combination of backstage management system as the pivot, whole system forms a plurality of closed loops for this recovered class equipment of intelligence can constantly study oneself and optimize perfect, so specific recovered class equipment system logic flow of intelligence is as follows:
the intelligent rehabilitation equipment monitors the system state, the consumption state and the equipment online respectively;
i: monitoring whether equipment uploads a message or not; if not, continuing to wait; if yes, analyzing the message content, acquiring the equipment ID and corresponding authentication information, judging that the equipment is on-line and analyzing the message type and the message content after judging that the message is legal, extracting voice data, sensor data, equipment state and instruction feedback, analyzing the voice data into a voice command and returning the result to the equipment;
ii: monitoring whether a mobile terminal APP logs in and transmits a message; if not, continuing to wait; if yes, obtaining information such as login user ID and the like, starting to monitor message input, analyzing the input legal message, and obtaining the content and type of the message, wherein the content and type of the message comprise a user instruction, user personal information, parameter configuration information and a binding relation request; the binding relation request is established with the equipment through a background and is synchronized to the mobile APP end and the equipment end;
iii: monitoring whether a mobile terminal APP is registered or not; if not, continuing to wait; if so, acquiring the registration information and judging whether the registration information is legal, sending a verification code to the mobile terminal when the registration information is legal, inputting a correct verification code to the mobile terminal APP by the user, and storing information such as user ID, password and the like in a database by the system;
and (ii) storing the data in the steps (ii) and (iii) into a big database, inputting the data into an algorithm model, judging whether a new rehabilitation training model needs to be output, and if so, outputting a primary rehabilitation training model and synchronizing the primary rehabilitation training model to the mobile terminal APP and the intelligent rehabilitation equipment terminal.
It should be noted that, in the above system embodiment, each included unit is only divided according to functional logic, but is not limited to the above division as long as the corresponding function can be implemented; in addition, specific names of the functional units are only for convenience of distinguishing from each other, and are not used for limiting the protection scope of the present invention.
In addition, it is understood by those skilled in the art that all or part of the steps in the method for implementing the embodiments described above may be implemented by a program instructing associated hardware, and the corresponding program may be stored in a computer-readable storage medium.
The preferred embodiments of the invention disclosed above are intended to be illustrative only. The preferred embodiments are not intended to be exhaustive or to limit the invention to the precise embodiments disclosed. Obviously, many modifications and variations are possible in light of the above teaching. The embodiments were chosen and described in order to best explain the principles of the invention and the practical application, to thereby enable others skilled in the art to best utilize the invention. The invention is limited only by the claims and their full scope and equivalents.
Claims (7)
1. The utility model provides a recovered class equipment backstage management system of intelligence, includes data input unit, processing unit, output unit and backstage management system, its characterized in that:
the data input unit comprises an equipment sensor module, a user information input module, a user command control module and a big data platform;
the processing unit comprises a rehabilitation training algorithm model and a health grade evaluation model;
the output unit is a data output module;
the equipment sensor module, the user information input module, the user command control module, the big data platform, the rehabilitation training algorithm model, the health grade evaluation model and the data output module are all connected with the background management system;
the equipment sensor module is used for transmitting data acquired by a sensor on the rehabilitation equipment to the background management system; the user information input module is used for inputting personal information of a patient into the system; the big data platform is a background rehabilitation database;
the rehabilitation training algorithm model is used for fusing all input data and outputting a preliminary rehabilitation training plan scheme through sorting and calculation; the health grade evaluation model is used for evaluating the rehabilitation state and the health grade of the patient according to all input data;
the data output module is used for outputting background data and a calculation result.
2. The intelligent rehabilitation equipment background management system according to claim 1, further comprising a user login registration management module, an equipment binding relationship module and a user use information feedback module; the user login and registration management module is used for managing and storing the information registered by the new user and verifying the login information; the device binding relation module is used for establishing connection and binding of the intelligent rehabilitation device and the user mobile terminal APP; the user use information feedback module is used for collecting user feedback information.
3. The intelligent rehabilitation device background management system according to claim 1, wherein the personal information entered by the user information entry module includes age, gender, height, weight, rehabilitation joint type, joint damage type and degree, and past medical history.
4. The background management system for intelligent rehabilitation equipment according to claim 1, wherein the rehabilitation training algorithm model performs fusion calculation on data transmitted to the background to output a primary rehabilitation training plan scheme, and sends the scheme to the mobile terminal equipment, the medical staff performs secondary adjustment to form a final rehabilitation training plan, and the background management system sends the scheme to the intelligent rehabilitation equipment and enables the intelligent rehabilitation equipment to execute the plan scheme.
5. The intelligent rehabilitation equipment background management system according to claim 2, wherein the user login and registration management module is used for managing the registration of the new user, and comprises information entry of the new user, account number duplication checking of the new user, verification code issuing and verification, and comparison and verification of user login information and database information.
6. The background management system for the intelligent rehabilitation device as claimed in claim 2, wherein the intelligent rehabilitation device has a unique device identifier and a unique serial number, and each user has a unique registered account.
7. The intelligent rehabilitation device background management system according to claim 2, wherein the device binding relationship module has a specific workflow: the mobile terminal APP obtains a unique device identifier and a serial number by scanning a two-dimensional code on a device body, the APP uploads the serial number to a device binding relation module of a background management system, the device binding relation module issues a binding command to the intelligent rehabilitation device, the device prompts a user whether to agree to binding through a loudspeaker or an indicator lamp, and after the user clicks a corresponding determination key, the device binding relation module informs the background management system to establish a binding relation between the device identifier and the serial number; if not, the corresponding cancel button is not operated or clicked to cancel the binding operation.
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Cited By (5)
| Publication number | Priority date | Publication date | Assignee | Title |
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| CN112043408A (en) * | 2020-09-30 | 2020-12-08 | 苏州市立医院 | Method and device for improving recovery speed after orthopedic surgery |
| CN112289425A (en) * | 2020-11-19 | 2021-01-29 | 重庆邮电大学 | Public lease-based rehabilitation equipment management system and method |
| CN112992312A (en) * | 2021-03-30 | 2021-06-18 | 中国人民解放军空军军医大学 | Spinal cord injury rehabilitation training qualification monitoring method and system |
| CN114420251A (en) * | 2022-03-30 | 2022-04-29 | 南京麦澜德医疗科技股份有限公司 | Rehabilitation data transmission system and method suitable for ultrasonic uterine rehabilitation instrument |
| CN115054868A (en) * | 2022-04-08 | 2022-09-16 | 常州市钱璟康复股份有限公司 | Upper and lower limb rehabilitation training device and rehabilitation training management system thereof |
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