CN104200417A - Rehabilitation training system based on cloud computing - Google Patents
Rehabilitation training system based on cloud computing Download PDFInfo
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- CN104200417A CN104200417A CN201410411544.7A CN201410411544A CN104200417A CN 104200417 A CN104200417 A CN 104200417A CN 201410411544 A CN201410411544 A CN 201410411544A CN 104200417 A CN104200417 A CN 104200417A
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- 238000012549 training Methods 0.000 title claims abstract description 133
- 238000004891 communication Methods 0.000 claims abstract description 10
- 238000011156 evaluation Methods 0.000 claims abstract description 10
- 238000004088 simulation Methods 0.000 claims abstract description 10
- 238000012545 processing Methods 0.000 claims abstract description 3
- 210000001364 upper extremity Anatomy 0.000 claims description 8
- 210000003141 lower extremity Anatomy 0.000 claims description 7
- 230000009850 completed effect Effects 0.000 claims description 6
- 230000006870 function Effects 0.000 claims description 6
- 230000005540 biological transmission Effects 0.000 claims description 4
- 230000019771 cognition Effects 0.000 claims description 4
- 238000012937 correction Methods 0.000 claims description 4
- 230000005021 gait Effects 0.000 claims description 4
- 238000007792 addition Methods 0.000 claims description 3
- 210000004556 brain Anatomy 0.000 claims description 3
- 230000008859 change Effects 0.000 claims description 3
- 230000001149 cognitive effect Effects 0.000 claims description 3
- 238000012217 deletion Methods 0.000 claims description 3
- 230000037430 deletion Effects 0.000 claims description 3
- 230000005281 excited state Effects 0.000 claims description 3
- 238000012986 modification Methods 0.000 claims description 3
- 230000004048 modification Effects 0.000 claims description 3
- 210000003205 muscle Anatomy 0.000 claims description 3
- 230000003183 myoelectrical effect Effects 0.000 claims description 3
- 230000004936 stimulating effect Effects 0.000 claims description 2
- 238000000034 method Methods 0.000 abstract description 6
- 230000008569 process Effects 0.000 abstract description 4
- 230000000694 effects Effects 0.000 abstract description 3
- 238000010586 diagram Methods 0.000 description 3
- 229940127554 medical product Drugs 0.000 description 3
- 238000005094 computer simulation Methods 0.000 description 2
- 230000007547 defect Effects 0.000 description 2
- 238000013461 design Methods 0.000 description 1
- 238000005516 engineering process Methods 0.000 description 1
- 210000003414 extremity Anatomy 0.000 description 1
- 230000036541 health Effects 0.000 description 1
- 230000008520 organization Effects 0.000 description 1
- 238000012800 visualization Methods 0.000 description 1
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Abstract
The invention discloses a rehabilitation training system based on cloud computing. The rehabilitation training system based on the cloud computing comprises a data acquisition module, an evaluation analysis module, a network communication module, a simulation training model, a database module, a system use role management module and an information management system module, wherein the data acquisition module uploads acquired data to a local PC (personal computer) through the network communication module, and then is connected with a server on the Internet. The rehabilitation training system based on the cloud computing has the advantage of using powerful knowledge resources, computers, networks and modern sensing systems in a hospital, remotely acquiring, processing and transmitting training data in real time, enabling a patient to stay at home, perform rehabilitation training whenever and interact with a doctor who sets an example for the patient and guides the patient in the training whenever, greatly facilitating the patient, not only simulating interesting training, but also guiding and controlling the training process and the training scheme according to physiologic feedback information, and significantly improving effects of the rehabilitation training.
Description
Technical Field
The invention relates to a rehabilitation training system, in particular to a rehabilitation training system based on cloud computing.
Background
At present, the previous rehabilitation training of the disabled patients is carried out in relevant hospitals or rehabilitation centers under the guidance of rehabilitation doctors.
The existing rehabilitation training technology mainly comprises the following steps: the rehabilitation training device comprises a rehabilitation teacher free-hand training device, a rehabilitation training device and a computer simulation rehabilitation training device.
The main shortcoming of the hand training of the rehabilitation teachers lies in that:
1. the labor intensity is high;
2. 1-to-1 training is required.
The main disadvantages of rehabilitation training devices are:
1. only one patient can be trained at a time;
2. the equipment is expensive and the patient can only go to a special hospital or rehabilitation center for training.
Due to the limited resources of the hospital or the rehabilitation center, the training timeliness of the patient is not satisfactory, and the patient is inconvenient to go to the hospital.
The existing computer simulation rehabilitation training is mainly of a single machine version, can be used by only one patient each time, and is expensive.
Disclosure of Invention
In order to solve the defects of the prior art, the invention aims to provide a rehabilitation training system based on cloud computing, which can perform rehabilitation training at any time when a patient is at home without going out.
In order to achieve the above object, the present invention adopts the following technical solutions:
a rehabilitation training system based on cloud computing, comprising:
a data acquisition module: collecting body data of a patient during training;
an evaluation analysis module: analyzing and processing the collected data according to the rehabilitation evaluation content to generate reports, charts and data;
a network communication module: completing the transmission of the data information;
a simulation training module: stimulating a plurality of senses of a patient by using pictures, texts, sounds and images to enable the brain of the patient to be in an excited state;
a database module: data sharing, storing data;
the system uses a role management module: different login roles are allocated and different authorities are given;
an information management system module: recording detailed basic information and examination information of patients, providing functions of inquiry, modification, deletion and addition, and automatically backing up patient data in the database module;
the data acquisition module uploads the acquired data to a local PC through a network communication module, and then the data is connected with a server on the Internet, and the server can send a command to control the user equipment.
The rehabilitation training system based on cloud computing is characterized in that the data acquisition module comprises: pressure sensors, position sensors, velocity sensors, image sensors, muscle force sensors, myoelectric sensors, and oximeters.
The rehabilitation training system based on cloud computing is characterized in that the simulation training module comprises:
a sitting posture training submodule: detecting the posture information of a patient when the patient is sitting by using a sensor, giving the posture of the patient in the form of graphics, data and voice on a screen, and simultaneously telling the patient to correct the sitting posture according to normal requirements;
a standing balance training submodule: detecting the posture information of a patient when the patient stands by using a sensor, giving the posture of the patient on a screen in the form of graphics, data and voice, guiding the patient to perform standing balance correction according to normal requirements, and performing balance dynamic training by matching with a game;
an upper limb comprehensive training submodule: the training purpose is achieved by taking games and animations as centers and completing the games by patients, the sensors are used for collecting the speed, the spatial position and the stress information of the upper limbs during the movement during the training, the patients are continuously guided to complete the game actions through voice prompt, and meanwhile, the completed actions are evaluated and encouraged;
a lower limb comprehensive training submodule: the training purpose is achieved by taking games and animations as centers and completing the games by patients, the sensors are used for collecting the speed, the spatial position and the stress information of the lower limb during movement during training, the patients are continuously guided to complete the game actions through voice prompt, and meanwhile, the completed actions are evaluated and encouraged;
gait walking training submodule: detecting posture information of a patient during walking by using a sensor, giving the posture of the patient on a screen in the form of graphics, data and voice, guiding the patient to correct the walking according to normal requirements, and performing dynamic training on the walking by matching with games;
language and cognitive training submodule: including listening comprehension, reading and listening comprehension, language expression and character expression training.
The rehabilitation training system based on cloud computing is characterized in that the language and cognition training submodule further has a dialect training function.
In the rehabilitation training system based on cloud computing, in the system use role management module, the login role includes: a general user, an administrator, a super administrator, wherein,
the common user only has browsing authority;
the administrator has the authority to add, delete, modify and inquire the patient and the authority to add, delete, modify and inquire the patient data;
the super administrator has the authority of distributing the authority and can add and delete the simulation training game according to the training type category and set, change and add the category to the acquisition port.
The invention has the advantages that: according to the cloud computing-based rehabilitation training system, the patient can carry out rehabilitation training at home at any time without going out by virtue of powerful knowledge resources, computers, networks and modern sensing systems of a hospital, so that the training effect is improved, and convenience is brought to the patient; meanwhile, the rehabilitation training system based on cloud computing has the advantages of high medical information safety, globalization of medical information, low information acquisition cost and the like.
Drawings
FIG. 1 is an architecture diagram of a cloud computing-based rehabilitation training system of the present invention;
FIG. 2 is a block diagram of a cloud computing based rehabilitation training system of the present invention;
fig. 3 is a schematic diagram of a remote connection application of the cloud computing based rehabilitation training system of the present invention.
Detailed Description
The invention is described in detail below with reference to the figures and the embodiments.
Referring to fig. 1, the rehabilitation training system based on cloud computing of the present invention mainly includes: foreground, background, database, and several communication modules. The software modules of the cloud computing-based rehabilitation training system are described in detail below.
Referring to fig. 2, the rehabilitation training system based on cloud computing mainly includes: the system comprises a data acquisition module, an evaluation analysis module, a network communication module, a simulation training module, a database module, a system use role management module and an information management system module. Wherein,
the data acquisition module is used for acquiring physical data of a patient during training, such as: the posture information when sitting, standing, walking, speed, spatial position, atress information when upper limbs, low limbs moved, so, data acquisition module includes: pressure sensors, position sensors, velocity sensors, image sensors, muscle force sensors, myoelectric sensors, and oximeters.
And the evaluation analysis module analyzes and processes the acquired data according to the rehabilitation evaluation content to generate reports, charts and data.
The simulation training module stimulates a plurality of senses of the patient by using pictures, texts, sounds, images and the like to enable the brain of the patient to be in an excited state, so that the enthusiasm of training is mobilized, and the interest of training is improved.
As a preferred scheme, the simulation training module comprises the following sub-modules: a sitting posture training submodule, a standing balance training submodule, an upper limb comprehensive training submodule, a lower limb comprehensive training submodule, a gait walking training submodule and a language and cognition training submodule. The functions and features of each sub-module are described separately below.
A sitting posture training submodule: the posture information of the patient when sitting is detected by using the sensor, the posture of the patient is given on a screen in the forms of graphics, data and voice, and the patient is told to carry out sitting posture correction according to normal requirements.
A standing balance training submodule: the posture information of the patient when standing is detected by using the sensor, the posture of the patient is given on a screen in the forms of graphics, data and voice, and the patient is guided to stand for balance correction according to normal requirements and is matched with a game for balance dynamic training.
An upper limb comprehensive training submodule: the training method is characterized in that games and animations are taken as the center, the aim of training is fulfilled by completing the games of patients, the sensors are used for collecting the speed, the spatial position and the stress information of the upper limbs during movement during training, the patients are continuously guided to complete game actions through voice prompt, and meanwhile, evaluation and encouragement are given to the completed actions.
A lower limb comprehensive training submodule: the training method is characterized in that games and animations are taken as the center, the aim of training is fulfilled by completing the games of patients, the sensors are used for collecting speed, spatial position and stress information of lower limb movement during training, the patients are continuously guided to complete game actions through voice prompt, and meanwhile evaluation and encouragement are given to the completed actions.
Gait walking training submodule: the posture information of the patient during walking is detected by using the sensor, the posture of the patient is given on a screen in the forms of graphics, data and voice, the patient is guided to correct the walking according to normal requirements, and dynamic training is carried out on the walking by matching with games.
Language and cognitive training submodule: including listening comprehension, reading and listening comprehension, language expression and character expression training. The language and cognition training submodule also has a dialect training function.
The database module is used for realizing data sharing and storing data.
The system uses the role management module to assign different login roles and give different authorities, wherein, the login roles include: common users, administrators, and super administrators. The common user only has browsing authority; the administrator has the authority to add, delete, modify and inquire the patient and the authority to add, delete, modify and inquire the patient data; the super administrator has the authority of distributing the authority and can add and delete the simulation training game according to the training type category and set, change and add the category to the acquisition port.
The information management system module is used for recording detailed basic information and examination information of patients, providing functions of inquiry, modification, deletion and addition, and automatically backing up the patient data in the database module.
The network communication module is used for completing the transmission of data information.
In the rehabilitation training system based on cloud computing, the data acquisition module uploads the acquired data to the local PC through the network communication module, and then the data is connected with the server on the Internet, and the server can also send commands to control the user equipment, as shown in FIG. 3.
Therefore, the rehabilitation training system based on cloud computing can remotely acquire, process and transmit training data in real time by means of powerful knowledge resources, computers, networks and modern sensing systems of hospitals, so that patients can carry out rehabilitation training at any time after staying at home, and can interact with doctors at any time (doctors remotely demonstrate and guide the patients to carry out rehabilitation training in real time through the networks), thereby bringing great convenience to the patients.
In addition, the rehabilitation training system based on cloud computing can simulate interesting training, record and evaluate the training condition of a patient in real time, share training resources and rehabilitation data, and guide and control the training process and the training scheme according to physiological feedback information, so that the rehabilitation training effect is remarkably improved.
The rehabilitation training system based on the cloud computing further has the following advantages:
(1) medical information security is high
The cloud-computing medical product can be used for quickly backing up and storing various medical data through the introduction of the cloud server so as to provide and use the medical data by another server side, and the safety of the medical data is greatly improved.
(2) Medical information globalization "
The organization of design resources may have multiple choices, and a reasonable, balanced combinatorial relationship best meets the goal of implementation. Due to the reasons of personal preference, professional degree of medical service and the like, a patient frequently changes treatment institutions, inconvenience is brought to subsequent treatment due to incompleteness of personal medical files, meanwhile, the requirement for timely sharing of related medical resources and information among large medical institutions is greatly increased, the defects can be greatly overcome through intervention of medical products of a cloud computing system, the patient can check the complete and comprehensive personal medical health files when arriving at any hospital, a medical resource sharing platform can be jointly established among the hospitals, and globalization of medical information is realized.
(3) Low cost of information collection
Through the cloud computing system, integrated management of medical data can be realized, integrated visualization of medical information can be realized through transmission of the material carrier medical product terminal, meanwhile, various services provided by a cloud data center server side can be rapidly acquired by each large medical institution, the information acquisition time of a hospital is shortened, a large amount of manpower and material resources are reduced, meanwhile, the information source is more diversified, comprehensive, real and reliable, and the information acquisition cost of the medical institution is greatly reduced to a certain extent.
It should be noted that the above-mentioned embodiments do not limit the present invention in any way, and all technical solutions obtained by using equivalent alternatives or equivalent variations fall within the protection scope of the present invention.
Claims (5)
1. Rehabilitation training system based on cloud calculates, its characterized in that includes:
a data acquisition module: collecting body data of a patient during training;
an evaluation analysis module: analyzing and processing the collected data according to the rehabilitation evaluation content to generate reports, charts and data;
a network communication module: completing the transmission of the data information;
a simulation training module: stimulating a plurality of senses of a patient by using pictures, texts, sounds and images to enable the brain of the patient to be in an excited state;
a database module: data sharing, storing data;
the system uses a role management module: different login roles are allocated and different authorities are given;
an information management system module: recording detailed basic information and examination information of patients, providing functions of inquiry, modification, deletion and addition, and automatically backing up patient data in the database module;
the data acquisition module uploads the acquired data to a local PC through the network communication module, and then the data is connected with a server on the Internet, and the server can send a command to control the user equipment.
2. The cloud computing-based rehabilitation training system of claim 1, wherein the data acquisition module comprises: pressure sensors, position sensors, velocity sensors, image sensors, muscle force sensors, myoelectric sensors, and oximeters.
3. The cloud computing-based rehabilitation training system of claim 1, wherein the simulated training module comprises:
a sitting posture training submodule: detecting the posture information of a patient when the patient is sitting by using a sensor, giving the posture of the patient in the form of graphics, data and voice on a screen, and simultaneously telling the patient to correct the sitting posture according to normal requirements;
a standing balance training submodule: detecting the posture information of a patient when the patient stands by using a sensor, giving the posture of the patient on a screen in the form of graphics, data and voice, guiding the patient to perform standing balance correction according to normal requirements, and performing balance dynamic training by matching with a game;
an upper limb comprehensive training submodule: the training purpose is achieved by taking games and animations as centers and completing the games by patients, the sensors are used for collecting the speed, the spatial position and the stress information of the upper limbs during the movement during the training, the patients are continuously guided to complete the game actions through voice prompt, and meanwhile, the completed actions are evaluated and encouraged;
a lower limb comprehensive training submodule: the training purpose is achieved by taking games and animations as centers and completing the games by patients, the sensors are used for collecting the speed, the spatial position and the stress information of the lower limb during movement during training, the patients are continuously guided to complete the game actions through voice prompt, and meanwhile, the completed actions are evaluated and encouraged;
gait walking training submodule: detecting posture information of a patient during walking by using a sensor, giving the posture of the patient on a screen in the form of graphics, data and voice, guiding the patient to correct the walking according to normal requirements, and performing dynamic training on the walking by matching with games;
language and cognitive training submodule: including listening comprehension, reading and listening comprehension, language expression and character expression training.
4. The cloud computing-based rehabilitation training system of claim 3, wherein the language and cognition training sub-module further has dialect training functionality.
5. The cloud computing-based rehabilitation training system of claim 1, wherein in the system use role management module, the login role comprises: a general user, an administrator, a super administrator, wherein,
the common user only has browsing authority;
the administrator has the authority to add, delete, modify and inquire the patient and the authority to add, delete, modify and inquire the patient data;
the super administrator has the authority of distributing the authority and can add and delete the simulation training game according to the training type category and set, change and add the category to the acquisition port.
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Cited By (19)
| Publication number | Priority date | Publication date | Assignee | Title |
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| CN105031875A (en) * | 2015-06-25 | 2015-11-11 | 上海济子医药科技有限公司 | Cloud platform system for remote rehabilitation training machine |
| CN105726258A (en) * | 2016-02-03 | 2016-07-06 | 苏州经贸职业技术学院 | Intelligent rehabilitation system assisting the disabled |
| CN105808966A (en) * | 2016-03-29 | 2016-07-27 | 南京康龙威康复医学工程有限公司 | Intelligent rehabilitation medical management system |
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| CN106109176A (en) * | 2016-07-18 | 2016-11-16 | 张力心 | A kind of based on cloud platform intelligent rehabilitation robot system and operational approach thereof |
| CN106562868A (en) * | 2015-11-25 | 2017-04-19 | 郑博航 | Rehabilitation training system and rehabilitation training method |
| CN107169302A (en) * | 2017-06-12 | 2017-09-15 | 北京工业大学 | A kind of stroke patient information gathering and management system |
| CN107647951A (en) * | 2017-09-29 | 2018-02-02 | 上海术理智能科技有限公司 | For method, system and the computer-readable medium for aiding in upper and lower extremities to move |
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| CN109157376A (en) * | 2018-08-08 | 2019-01-08 | 郑州大学 | A kind of horizontal lower limb rehabilitation robot in the ward ICU of shrinkable movement |
| CN109493967A (en) * | 2018-11-13 | 2019-03-19 | 中国人民解放军陆军军医大学第附属医院 | One kind being based on long-distance intelligent medical rehabilitation system and method |
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| CN113476817A (en) * | 2021-07-07 | 2021-10-08 | 鹤壁市人民医院 | Cognitive rehabilitation training system based on neural network algorithm |
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| CN107169302A (en) * | 2017-06-12 | 2017-09-15 | 北京工业大学 | A kind of stroke patient information gathering and management system |
| CN107647951A (en) * | 2017-09-29 | 2018-02-02 | 上海术理智能科技有限公司 | For method, system and the computer-readable medium for aiding in upper and lower extremities to move |
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| CN109102857B (en) * | 2018-05-31 | 2021-08-27 | 杭州同绘科技有限公司 | Intelligent limb rehabilitation training system and method |
| WO2020015204A1 (en) * | 2018-07-18 | 2020-01-23 | 广州市三甲医疗信息产业有限公司 | Virtual reality-based upper and lower limbs rehabilitation training method and system |
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| CN109157376A (en) * | 2018-08-08 | 2019-01-08 | 郑州大学 | A kind of horizontal lower limb rehabilitation robot in the ward ICU of shrinkable movement |
| CN109493967A (en) * | 2018-11-13 | 2019-03-19 | 中国人民解放军陆军军医大学第附属医院 | One kind being based on long-distance intelligent medical rehabilitation system and method |
| CN110362552A (en) * | 2019-04-15 | 2019-10-22 | 孙一鸣 | A kind of Computer Aided Analysis System for Method of Military Training Result |
| CN110348241A (en) * | 2019-07-12 | 2019-10-18 | 之江实验室 | A kind of multicenter under data sharing strategy cooperates with prognosis prediction system |
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| CN110931103A (en) * | 2019-11-01 | 2020-03-27 | 深圳市迈步机器人科技有限公司 | Control method and system of rehabilitation equipment |
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| CN113476817A (en) * | 2021-07-07 | 2021-10-08 | 鹤壁市人民医院 | Cognitive rehabilitation training system based on neural network algorithm |
| CN113476817B (en) * | 2021-07-07 | 2022-06-07 | 鹤壁市人民医院 | Cognitive rehabilitation training system based on neural network algorithm |
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