CN112289425A - Public lease-based rehabilitation equipment management system and method - Google Patents
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Abstract
The invention relates to a public leasing-based rehabilitation equipment management system and method, and belongs to the field of intelligent equipment. The system comprises an intelligent management system, a big data platform, a man-machine interaction system and rehabilitation training equipment. Different from the traditional rehabilitation management system, the invention adds functions of qualification verification, data acquisition and the like aiming at the characteristics of indefinite places, various users and no sales staff in the public leasing mode. The rehabilitation training system and the rehabilitation training method take public leasing as a mode, reduce the rehabilitation cost of a user and promote the increase of the scale of medical leasing business. The multifunctional rehabilitation robot has the functions of remote control, data acquisition and qualification verification, can provide systematic and convenient rehabilitation service for rehabilitation patients, realizes remote rehabilitation, and relieves the current situation that professional rehabilitation doctors in the rehabilitation training market are not enough.
Description
Technical Field
The invention belongs to the field of intelligent equipment, and relates to a public leasing-based rehabilitation equipment management system and method.
Background
The current rehabilitation training needs to invest in a large amount of human resources, and in the rehabilitation training process, medical care personnel are needed to accompany and the place is fixed in a hospital or a rehabilitation center. Moreover, the existing rehabilitation training device is gradually portable, and is expected to realize rehabilitation training of 'staying home'. Therefore, how to reduce the cost of the rehabilitation manpower and how to monitor the rehabilitation training process of the user in other places in the hospital or the rehabilitation center become two problems, and therefore, it is necessary to provide the rehabilitation training device and the management method thereof suitable for the public rental mode.
Disclosure of Invention
In view of the above, the present invention provides a public rental-based rehabilitation device management system and method.
In order to achieve the purpose, the invention provides the following technical scheme:
a public leasing-based rehabilitation equipment management system comprises an intelligent management system, a big data platform, a human-computer interaction system and rehabilitation training equipment;
the intelligent management system comprises: tracking and managing the rehabilitation training equipment, mastering the full life cycle of the equipment, performing data interaction of rehabilitation data with the big data platform, realizing data sharing of an intelligent management system and the big data platform, and recording the use history of the equipment; the system comprises a user registration module, an equipment life cycle monitoring module, an equipment use recording module and an equipment control module;
a user registration module: registering according to real information provided by users, classifying registered users, and managing the authority of different types of users;
equipment life cycle monitoring module: monitoring four states of 'in-use-standby-in-maintenance-failed' of the rehabilitation training equipment, and realizing comprehensive information management of the equipment;
a device usage recording module: performing centralized management on historical use records of the rehabilitation training equipment;
an equipment control module: transmitting the control parameters to the rehabilitation training equipment;
a big data platform: receiving rehabilitation training data and rehabilitation process data uploaded by rehabilitation training equipment, and performing data visualization; receiving control parameters uploaded by a human-computer interaction system, and transmitting the control parameters to an intelligent management system; storing personal information and qualification information of the user; data mining is carried out on the data of the rehabilitation process and the rehabilitation strategy, and an adjustment suggestion scheme is automatically given after analysis for reference of a doctor;
a human-computer interaction system: the system is used as a bridge between equipment and a user, and performs data transmission with a big data platform, and comprises a code scanning function module, a control parameter uploading module and a qualification verification module;
sweep a yard functional module: the user can acquire the information of the rehabilitation training device through the code scanning function;
the control parameter uploading module: acquiring a rehabilitation training plan from the big data platform, automatically setting control parameters, and automatically uploading the control parameters to the big data platform when a user modifies the control parameters;
a qualification verification module: acquiring personal information and qualification information of a current user from a big data platform, and verifying the qualification, wherein the scanned equipment can be used only after the verification is passed;
rehabilitation training equipment: moving according to the downlink control parameters of the intelligent management system; the device is provided with a control parameter receiving module, a rehabilitation training module and a rehabilitation data uploading module;
the control parameter receiving module: receiving downlink control parameters of an intelligent management system;
a rehabilitation training module: training according to the control parameters;
the rehabilitation data acquisition and uploading module: and training data are collected and uploaded to a big data platform in the training process.
Optionally, the big data platform stores personal information and account information of the user, including the number of uses, balance, etc., when the user submits an application for the confirmation device, the qualification is verified, the human-computer interaction system requests the big data platform to query the user account information, the big data platform returns the account information to the human-computer interaction system, and when the number of uses or the balance, etc. is insufficient, the qualification is not verified, otherwise, the qualification passes.
Optionally, when the rehabilitation data acquisition and uploading module is used for acquiring data, in order to monitor muscle fatigue indications in real time and terminate training in real time and avoid the problem of secondary strain caused by muscle strain, a myoelectricity feedback type motor control algorithm is adopted, the motor force position output is adjusted in real time by combining the muscle fatigue indications, and the acquired data are uploaded to a large data platform for storage.
The public leasing-based rehabilitation equipment management method based on the system comprises a remote control flow and a data interaction flow, and specifically comprises the following steps:
step 1.1: a user needing rehabilitation training opens the man-machine interaction system through code scanning, and the man-machine interaction system automatically registers on the intelligent management system and initializes user information;
step 1.2: a user needing rehabilitation training checks a rehabilitation training plan through a human-computer interaction system;
step 1.3: a user needing rehabilitation training opens a training interface of the human-computer interaction system, scans a two-dimensional code of rehabilitation training equipment and checks equipment information;
step 1.4: the man-machine interaction system requests the current user qualification information from the big data platform to carry out user qualification verification:
when the qualification is passed, the user determines to use the scanned equipment, and the step 1.5 is carried out;
when the qualification is not checked, the user applies for the use qualification, and the step 1.4 is executed again after the application, or the user selects an exit button to return to the initial interface;
step 1.5: the man-machine interaction system automatically acquires a present training plan, control parameters are set on a control panel, a user of the confirmed equipment modifies the control parameters according to the self condition, and a training starting button is clicked;
step 1.6: after receiving the training instruction, the human-computer interaction system uploads the control parameters to the big data platform, and the big data platform stores the control parameters and transmits the control parameters to the intelligent management system;
step 1.7: the intelligent management system receives the control parameters and then issues the control parameters to the rehabilitation training equipment, the rehabilitation training equipment receives the control parameters and starts training, and the rehabilitation training equipment continuously transmits rehabilitation data to the big data platform for storage;
step 1.8: the training process data is viewed on the human-computer interaction system by the user who completes the training.
The invention has the beneficial effects that: and the public leasing mode is adopted, so that the rehabilitation cost of the user is reduced, and the increase of the medical leasing business scale is promoted. Through using thing networking module, upload patient's data to the high in the clouds. The big data is applied to intellectualization, so that a doctor can rapidly master the rehabilitation data and the rehabilitation condition of a patient and can feed back the data to the patient in time, and the doctor can adjust the mode of rehabilitation training in real time. Thus, for the patient, the patient can receive the rehabilitation training suggestion and the latest scheme of the top-level rehabilitation doctor without going out; for doctors, one-to-many patients can be treated by the doctors, the number of the patients to be treated is increased, and the working efficiency of the doctors is greatly improved; for the society, the current situation that professional rehabilitation doctors in the rehabilitation training market are insufficient is relieved.
Additional advantages, objects, and features of the invention will be set forth in part in the description which follows and in part will become apparent to those having ordinary skill in the art upon examination of the following or may be learned from practice of the invention. The objectives and other advantages of the invention may be realized and attained by the means of the instrumentalities and combinations particularly pointed out hereinafter.
Drawings
For the purposes of promoting a better understanding of the objects, aspects and advantages of the invention, reference will now be made to the following detailed description taken in conjunction with the accompanying drawings in which:
FIG. 1 is a schematic diagram of the system of the present invention;
fig. 2 is a flow chart of the system implementation in the present invention.
Detailed Description
The embodiments of the present invention are described below with reference to specific embodiments, and other advantages and effects of the present invention will be easily understood by those skilled in the art from the disclosure of the present specification. The invention is capable of other and different embodiments and of being practiced or of being carried out in various ways, and its several details are capable of modification in various respects, all without departing from the spirit and scope of the present invention. It should be noted that the drawings provided in the following embodiments are only for illustrating the basic idea of the present invention in a schematic way, and the features in the following embodiments and examples may be combined with each other without conflict.
Wherein the showings are for the purpose of illustrating the invention only and not for the purpose of limiting the same, and in which there is shown by way of illustration only and not in the drawings in which there is no intention to limit the invention thereto; to better illustrate the embodiments of the present invention, some parts of the drawings may be omitted, enlarged or reduced, and do not represent the size of an actual product; it will be understood by those skilled in the art that certain well-known structures in the drawings and descriptions thereof may be omitted.
The same or similar reference numerals in the drawings of the embodiments of the present invention correspond to the same or similar components; in the description of the present invention, it should be understood that if there is an orientation or positional relationship indicated by terms such as "upper", "lower", "left", "right", "front", "rear", etc., based on the orientation or positional relationship shown in the drawings, it is only for convenience of description and simplification of description, but it is not an indication or suggestion that the referred device or element must have a specific orientation, be constructed in a specific orientation, and be operated, and therefore, the terms describing the positional relationship in the drawings are only used for illustrative purposes, and are not to be construed as limiting the present invention, and the specific meaning of the terms may be understood by those skilled in the art according to specific situations.
The first embodiment is as follows:
as shown in fig. 1, the system includes the following components:
the intelligent management system comprises: tracking and managing the rehabilitation training equipment, and mastering the full life cycle of the equipment; carrying out data interaction on rehabilitation data with the big data platform, realizing data sharing between the intelligent management system and the big data platform, and recording the use history of the equipment; the system comprises a user registration module, an equipment life cycle monitoring module, an equipment use recording module and an equipment control module.
A user registration module: registering according to the real information provided by the user, classifying the registered users, and managing the authority of the users of different types.
Equipment life cycle monitoring module: four states of 'in-use-standby-in-maintenance-failed' of the rehabilitation training equipment are monitored, and comprehensive information management of the equipment is achieved.
A device usage recording module: and performing centralized management on the historical use records of the rehabilitation training equipment.
An equipment control module: and transmitting the control parameters to the rehabilitation training equipment.
A big data platform: receiving rehabilitation training data and rehabilitation process data uploaded by rehabilitation training equipment, and performing data visualization; receiving control parameters uploaded by a human-computer interaction system, and transmitting the control parameters to an intelligent management system; personal information of the user and user qualification information are stored. Data mining is carried out on the data of the rehabilitation process and the rehabilitation strategy, and an adjustment suggestion scheme is automatically given after analysis for reference of a doctor;
a human-computer interaction system: the system is used as a bridge between equipment and a user and carries out data transmission with a big data platform, and comprises a code scanning function module, a control parameter uploading module and a qualification verification module.
Sweep a yard functional module: the user can acquire the information of the rehabilitation training device through the code scanning function.
The control parameter uploading module: and acquiring a rehabilitation training plan from the big data platform, automatically setting control parameters, and automatically uploading the control parameters to the big data platform when a user modifies the control parameters.
A qualification verification module: and acquiring the personal information and qualification information of the current user from the big data platform, and verifying the qualification, wherein the scanned equipment can be used only after the verification is passed.
Rehabilitation training equipment: and performing movement according to the downlink control parameters of the intelligent management system. The device is provided with a control parameter receiving module, a rehabilitation training module and a rehabilitation data uploading module;
the control parameter receiving module: and receiving downlink control parameters of the intelligent management system.
A rehabilitation training module: and training according to the control parameters.
The rehabilitation data acquisition and uploading module: and training data are collected and uploaded to a big data platform in the training process.
Specifically, the intelligent management system and the big data platform can be realized by adopting a Web client-side form and calling the related API thereof, and the human-computer interaction system can be realized by adopting a small program or APP form and calling the related API thereof.
The qualification verification module can verify the payment information, account balance, lease term and the like of the user.
The process of the rehabilitation data acquisition and uploading module comprises the steps of data acquisition, data preprocessing, data segmentation/windowing, feature extraction, classification, corresponding control signals and the like. The method comprises the specific steps that firstly, an analog signal of a surface electromyogram signal is acquired through an electrode and is converted into digital data through an ADC. And inputting the stored digital data into a preprocessing function for digital filtering, outputting corresponding class labels after the filtered data passes through three-step mode identification processes of data segmentation/windowing, feature extraction and classification, and uploading.
Example two:
in this example, the qualification verification module adopts a lease time limit as a verification standard, wherein the lease time limit of the user in the example is set to be 0 day, the Web client is used as an intelligent management system and a big data platform, and the human-computer interaction system adopts a WeChat applet form, as shown in fig. 2, the implementation flow of the system is as follows:
step 1.1, a user needing rehabilitation training opens a WeChat small program through code scanning, and the WeChat small program automatically registers on an intelligent management system and initializes user information;
step 1.2, checking a rehabilitation training plan by a user needing rehabilitation training through a WeChat applet;
and step 1.3, opening a training interface of the WeChat applet by a user needing rehabilitation training, scanning the two-dimensional code of the rehabilitation training equipment, and checking equipment information.
Step 1.4, the WeChat small program requests the current user qualification information from the big data platform to carry out user qualification verification:
and the WeChat applet obtains that the lease time of the user is 0 day, the qualification verification is not passed, and the step jumps to a recharging interface. The user selects the service life of 30 days for recharging and payment is carried out. After the payment is finished, the qualification is checked again, the verification is passed, and the step 1.5 is carried out;
step 1.5, the WeChat applet automatically acquires the current training plan, sets control parameters on a control panel, and clicks a training start button after the user of the equipment is confirmed to modify the control parameters according to the self condition;
step 1.6, after receiving the training instruction, the WeChat applet uploads the control parameters to the big data platform, and the big data platform stores the control parameters and transmits the control parameters to the intelligent management system;
step 1.7, the intelligent management system receives the control parameters and then sends the control parameters to the rehabilitation training equipment, the rehabilitation training equipment receives the control parameters and starts training, and the rehabilitation training equipment continuously transmits rehabilitation data to the large data platform for storage;
step 1.8, the user who finishes training checks the training process data on the WeChat small program;
specifically, the embodiment uses the case that the user rents the rehabilitation training device in the hospital as an example. The man-machine interaction system can select WeChat small programs and the like as carriers, and the qualification verification takes the lease term of the user and the like as judgment bases. It can be understood that the embodiment of the present invention does not limit the carrier of the human-computer interaction system, and the method of using APP or the like as the human-computer interaction system is also within the protection scope of the embodiment.
Finally, the above embodiments are only intended to illustrate the technical solutions of the present invention and not to limit the present invention, and although the present invention has been described in detail with reference to the preferred embodiments, it will be understood by those skilled in the art that modifications or equivalent substitutions may be made on the technical solutions of the present invention without departing from the spirit and scope of the technical solutions, and all of them should be covered by the claims of the present invention.
Claims (4)
1. A public lease-based rehabilitation equipment management system is characterized in that: the system comprises an intelligent management system, a big data platform, a man-machine interaction system and rehabilitation training equipment;
the intelligent management system comprises: tracking and managing the rehabilitation training equipment, mastering the full life cycle of the equipment, performing data interaction of rehabilitation data with the big data platform, realizing data sharing of an intelligent management system and the big data platform, and recording the use history of the equipment; the system comprises a user registration module, an equipment life cycle monitoring module, an equipment use recording module and an equipment control module;
a user registration module: registering according to real information provided by users, classifying registered users, and managing the authority of different types of users;
equipment life cycle monitoring module: monitoring four states of 'in-use-standby-in-maintenance-failed' of the rehabilitation training equipment, and realizing comprehensive information management of the equipment;
a device usage recording module: performing centralized management on historical use records of the rehabilitation training equipment;
an equipment control module: transmitting the control parameters to the rehabilitation training equipment;
a big data platform: receiving rehabilitation training data and rehabilitation process data uploaded by rehabilitation training equipment, and performing data visualization; receiving control parameters uploaded by a human-computer interaction system, and transmitting the control parameters to an intelligent management system; storing personal information and qualification information of the user; data mining is carried out on the data of the rehabilitation process and the rehabilitation strategy, and an adjustment suggestion scheme is automatically given after analysis for reference of a doctor;
a human-computer interaction system: the system is used as a bridge between equipment and a user, and performs data transmission with a big data platform, and comprises a code scanning function module, a control parameter uploading module and a qualification verification module;
sweep a yard functional module: the user can acquire the information of the rehabilitation training device through the code scanning function;
the control parameter uploading module: acquiring a rehabilitation training plan from the big data platform, automatically setting control parameters, and automatically uploading the control parameters to the big data platform when a user modifies the control parameters;
a qualification verification module: acquiring personal information and qualification information of a current user from a big data platform, and verifying the qualification, wherein the scanned equipment can be used only after the verification is passed;
rehabilitation training equipment: moving according to the downlink control parameters of the intelligent management system; the device is provided with a control parameter receiving module, a rehabilitation training module and a rehabilitation data uploading module;
the control parameter receiving module: receiving downlink control parameters of an intelligent management system;
a rehabilitation training module: training according to the control parameters;
the rehabilitation data acquisition and uploading module: and training data are collected and uploaded to a big data platform in the training process.
2. The public rental-based rehabilitation device management system of claim 1, wherein: the large data platform stores personal information and account information of a user, including using times, balance and the like, when the user submits a confirmation device application, qualification verification is carried out, the human-computer interaction system requests the large data platform to inquire the user account information, the large data platform returns the account information to the human-computer interaction system, and qualification verification is not passed when the using times or the balance and the like are insufficient, otherwise, qualification verification is passed.
3. The public rental-based rehabilitation device management system of claim 1, wherein: when the rehabilitation data acquisition and uploading module is used for monitoring muscle fatigue indications in real time and stopping training in real time to avoid the problem of secondary strain caused by muscle strain, a myoelectricity feedback motor control algorithm is adopted, the motor force position output is adjusted in real time by combining the muscle fatigue indications, and the acquired data are uploaded to a large data platform for storage.
4. Public rental-based rehabilitation device management method based on the system of any one of claims 1-3, characterized in that: the method comprises a remote control flow and a data interaction flow, and specifically comprises the following steps:
step 1.1: a user needing rehabilitation training opens the man-machine interaction system through code scanning, and the man-machine interaction system automatically registers on the intelligent management system and initializes user information;
step 1.2: a user needing rehabilitation training checks a rehabilitation training plan through a human-computer interaction system;
step 1.3: a user needing rehabilitation training opens a training interface of the human-computer interaction system, scans a two-dimensional code of rehabilitation training equipment and checks equipment information;
step 1.4: the man-machine interaction system requests the current user qualification information from the big data platform to carry out user qualification verification:
when the qualification is passed, the user determines to use the scanned equipment, and the step 1.5 is carried out;
when the qualification is not checked, the user applies for the use qualification, and the step 1.4 is executed again after the application, or the user selects an exit button to return to the initial interface;
step 1.5: the man-machine interaction system automatically acquires a present training plan, control parameters are set on a control panel, a user of the confirmed equipment modifies the control parameters according to the self condition, and a training starting button is clicked;
step 1.6: after receiving the training instruction, the human-computer interaction system uploads the control parameters to the big data platform, and the big data platform stores the control parameters and transmits the control parameters to the intelligent management system;
step 1.7: the intelligent management system receives the control parameters and then issues the control parameters to the rehabilitation training equipment, the rehabilitation training equipment receives the control parameters and starts training, and the rehabilitation training equipment continuously transmits rehabilitation data to the big data platform for storage;
step 1.8: the training process data is viewed on the human-computer interaction system by the user who completes the training.
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| CN114259394A (en) * | 2021-12-13 | 2022-04-01 | 重庆邮电大学 | Pre-adaptive training system with comprehensive rehabilitation training strategy |
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| US12020800B2 (en) | 2019-10-03 | 2024-06-25 | Rom Technologies, Inc. | System and method for using AI/ML and telemedicine to integrate rehabilitation for a plurality of comorbid conditions |
| US12029940B2 (en) | 2019-03-11 | 2024-07-09 | Rom Technologies, Inc. | Single sensor wearable device for monitoring joint extension and flexion |
| US12057237B2 (en) | 2020-04-23 | 2024-08-06 | Rom Technologies, Inc. | Method and system for describing and recommending optimal treatment plans in adaptive telemedical or other contexts |
| US12062425B2 (en) | 2019-10-03 | 2024-08-13 | Rom Technologies, Inc. | System and method for implementing a cardiac rehabilitation protocol by using artificial intelligence and standardized measurements |
| US12087426B2 (en) | 2019-10-03 | 2024-09-10 | Rom Technologies, Inc. | Systems and methods for using AI ML to predict, based on data analytics or big data, an optimal number or range of rehabilitation sessions for a user |
| US12100499B2 (en) | 2022-11-29 | 2024-09-24 | Rom Technologies, Inc. | Method and system for using artificial intelligence and machine learning to create optimal treatment plans based on monetary value amount generated and/or patient outcome |
Citations (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN105030395A (en) * | 2015-06-03 | 2015-11-11 | 东南大学 | Tibial fracture adjustable-weight functional brace |
| CN110782959A (en) * | 2019-11-13 | 2020-02-11 | 常州市小先信息技术有限公司 | Intelligent rehabilitation equipment background management system |
| CN111081328A (en) * | 2019-12-20 | 2020-04-28 | 赛客（厦门）医疗器械有限公司 | Rehabilitation management system and method |
| CN111508599A (en) * | 2020-05-26 | 2020-08-07 | 潍坊聚辉网络科技有限公司 | Shared rehabilitation equipment management method and system |
| CN111641699A (en) * | 2020-05-25 | 2020-09-08 | 安徽大学 | Local area rehabilitation Internet of things system for rehabilitation station |
| CN111951940A (en) * | 2020-08-24 | 2020-11-17 | 广元量知汇科技有限公司 | Intelligent medical rehabilitation assisting method |
-
2020
- 2020-11-19 CN CN202011302229.2A patent/CN112289425A/en active Pending
Patent Citations (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN105030395A (en) * | 2015-06-03 | 2015-11-11 | 东南大学 | Tibial fracture adjustable-weight functional brace |
| CN110782959A (en) * | 2019-11-13 | 2020-02-11 | 常州市小先信息技术有限公司 | Intelligent rehabilitation equipment background management system |
| CN111081328A (en) * | 2019-12-20 | 2020-04-28 | 赛客（厦门）医疗器械有限公司 | Rehabilitation management system and method |
| CN111641699A (en) * | 2020-05-25 | 2020-09-08 | 安徽大学 | Local area rehabilitation Internet of things system for rehabilitation station |
| CN111508599A (en) * | 2020-05-26 | 2020-08-07 | 潍坊聚辉网络科技有限公司 | Shared rehabilitation equipment management method and system |
| CN111951940A (en) * | 2020-08-24 | 2020-11-17 | 广元量知汇科技有限公司 | Intelligent medical rehabilitation assisting method |
Non-Patent Citations (1)
| Title |
|---|
| 张杰等: "康复设备数据通讯与存储的标准化研究", 《中国医疗器械杂志》 * |
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| US12102878B2 (en) | 2021-08-06 | 2024-10-01 | Rehab2Fit Technologies, Inc. | Method and system for using artificial intelligence to determine a user's progress during interval training |
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| CN114259394B (en) * | 2021-12-13 | 2024-04-09 | 重庆邮电大学 | Pre-adaptive training system with comprehensive rehabilitation training strategy |
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