CN110993057A - Rehabilitation training system and method based on cloud platform and lower limb rehabilitation robot - Google Patents
Rehabilitation training system and method based on cloud platform and lower limb rehabilitation robot Download PDFInfo
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Abstract
The invention discloses a rehabilitation training system and a rehabilitation training method based on a cloud platform and a lower limb rehabilitation robot. The rehabilitation training system provided by the invention can analyze and track specific rehabilitation data of a specific patient, store the training data of the patient and summarize historical training data of the patient, so that the scientificity of making a rehabilitation training plan of the patient is improved, and the rehabilitation training process of the patient is accelerated. In addition, the invention also carries out uniform acquisition and management on the sensor information of the rehabilitation equipment so as to better carry out rehabilitation treatment on the patient.
Description
Technical Field
The invention relates to the technical field of robot cloud platforms, in particular to a rehabilitation training system and a rehabilitation training method based on a cloud platform and a lower limb rehabilitation robot.
Background
At present, the cloud-based online diagnosis and treatment rehabilitation system generally comprises a doctor end and a patient end which are connected through a network protocol for rehabilitation, specific rehabilitation data analysis and tracking are not carried out on specific patients, storage of patient training data and summary of historical training data of the patients are lacked, and the fact that a patient rehabilitation training plan is made unscientific and the rehabilitation process is slow can be caused. And because the rehabilitation robot is also an important component in the rehabilitation training process, the reasonable and orderly acquisition and management of information of the rehabilitation robot is very beneficial to the rehabilitation of patients.
Disclosure of Invention
The invention aims to provide a rehabilitation training system and a rehabilitation training method based on a cloud platform and a lower limb rehabilitation robot, and aims to solve the problem that the existing online diagnosis and treatment rehabilitation system cannot make a scientific rehabilitation training plan, so that the rehabilitation process of a patient is slow.
In order to achieve the purpose, the invention provides the following scheme:
a rehabilitation training system based on a cloud platform and a lower limb rehabilitation robot comprises: the lower limb rehabilitation robot, the equipment sensor acquisition device, the cloud platform server, the doctor terminal and the patient terminal are connected in sequence;
the device sensor acquisition device is used for acquiring training data of a patient and sending the training data to the cloud platform server when the patient performs lower limb rehabilitation training by adopting the lower limb rehabilitation robot; the training data of the patient comprises real-time joint angles of legs, waist rotation angles and left and right acting forces of the waist of the patient;
the cloud platform server is used for generating a rehabilitation training condition of the patient according to the training data of the patient and sending the rehabilitation training condition to the doctor terminal; the rehabilitation training condition of the patient comprises a rehabilitation curve and a training result of the patient; the training result comprises the extension condition of the legs of the patient, the sensitive condition of the waist of the patient and the left and right acting force condition of the waist of the patient;
the doctor terminal is used for making a rehabilitation training plan of the patient according to the rehabilitation training condition and sending the rehabilitation training plan to the patient terminal for display;
and the patient adopts the lower limb rehabilitation robot to carry out lower limb rehabilitation training according to the rehabilitation training plan displayed by the patient terminal.
Optionally, the cloud platform server respectively performs data transmission with the doctor terminal and the patient terminal by using a TCP/IP protocol.
Optionally, the cloud platform server is further configured to store the patient information of the patient, the corresponding rehabilitation training plan, the training data, and the rehabilitation training situation in a cloud database.
Optionally, the device sensor acquisition device is further configured to acquire an idle state of the lower limb rehabilitation robot and send the idle state to the cloud platform server; the cloud platform server is further used for distributing the corresponding lower limb rehabilitation robot to the patient according to the patient information of the patient and the idle state of the lower limb rehabilitation robot.
A rehabilitation training method based on a cloud platform and a lower limb rehabilitation robot is based on the rehabilitation training system; the rehabilitation training method comprises the following steps:
the method comprises the steps that a doctor terminal obtains patient information of a patient who is currently treated; the patient information comprises basic information, residence information and diseased conditions of the patient;
the doctor terminal acquires recent training data and a rehabilitation training condition of the patient from a cloud platform server according to the patient information, and formulates a current rehabilitation training plan of the patient according to the training data and the rehabilitation training condition;
the doctor terminal sends the rehabilitation training plan to a patient terminal and the cloud platform server respectively;
the cloud platform server allocates a corresponding lower limb rehabilitation robot to the patient according to the patient information of the patient and the idle state of the lower limb rehabilitation robot;
after the patient reaches the lower limb rehabilitation robot, the patient starts a video-audio interaction function of the patient terminal and performs video-audio interaction with the doctor terminal;
and the doctor guides the patient to adopt the lower limb rehabilitation machine on line according to the video and audio interaction function of the doctor terminal to perform rehabilitation training according to the rehabilitation training plan.
Optionally, when the patient adopts the lower limb rehabilitation machine to perform rehabilitation training according to the rehabilitation training plan, the device sensor acquisition device acquires training data of the patient and sends the training data to the cloud platform server; the training data of the patient comprises real-time joint angles of legs, waist rotation angles and left and right acting forces of the waist of the patient;
the cloud platform server generates a rehabilitation training condition of the patient according to the training data of the patient, and stores the patient information of the patient, the corresponding rehabilitation training plan, the training data and the rehabilitation training condition into a cloud database.
Optionally, before the doctor terminal obtains the patient information of the currently-visited patient, the method further includes:
and the doctor logs in the doctor terminal according to the doctor registration information.
Optionally, before the patient starts the video-audio interaction function of the patient terminal, the method further includes:
and the patient logs in the patient terminal according to the patient registration information.
Optionally, the rehabilitation training method further includes:
the cloud platform server generates a rehabilitation curve of the patient according to the training data and the training result of the patient stored in a cloud database;
and the cloud platform server sends the rehabilitation curve to the doctor terminal and the patient terminal respectively for display.
Optionally, the rehabilitation training method further includes:
a general responsible person of the hospital logs in the cloud platform server according to registration information of a responsible person, and data of all patients in the hospital are checked and edited on a cloud general interface of the cloud platform server;
and a platform super manager logs in the cloud platform server according to super manager registration information, and checks and edits all data in the cloud database on a cloud total interface of the cloud platform server.
According to the specific embodiment provided by the invention, the invention discloses the following technical effects:
the invention provides a rehabilitation training system and a rehabilitation training method based on a cloud platform and a lower limb rehabilitation robot. The rehabilitation training system provided by the invention can analyze and track specific rehabilitation data of a specific patient, store the training data of the patient and summarize historical training data of the patient, so that the scientificity of making a rehabilitation training plan of the patient is improved, and the rehabilitation training process of the patient is accelerated. In addition, the invention also carries out uniform acquisition and management on the sensor information of the rehabilitation equipment so as to better carry out rehabilitation treatment on the patient.
Drawings
In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings required to be used in the embodiments will be briefly described below, and it is obvious that the drawings in the following description are only some embodiments of the present invention, and for those skilled in the art, other drawings can be obtained according to the drawings provided by the present invention without any creative effort.
Fig. 1 is a schematic structural diagram of a rehabilitation training system based on a cloud platform and a lower limb rehabilitation robot provided by the invention;
fig. 2 is a functional schematic diagram of a rehabilitation training system based on a cloud platform and a lower limb rehabilitation robot according to the present invention;
fig. 3 is an operation flowchart of the rehabilitation training system based on the cloud platform and the lower limb rehabilitation robot provided by the invention.
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.
The invention aims to provide a rehabilitation training system and a rehabilitation training method based on a cloud platform and a lower limb rehabilitation robot, and aims to solve the problem that the existing online diagnosis and treatment rehabilitation system cannot make a scientific rehabilitation training plan, so that the rehabilitation process of a patient is slow.
In order to make the aforementioned objects, features and advantages of the present invention comprehensible, embodiments accompanied with figures are described in further detail below.
Fig. 1 is a schematic structural diagram of a rehabilitation training system based on a cloud platform and a lower limb rehabilitation robot provided by the invention. Fig. 2 is a functional schematic diagram of a rehabilitation training system based on a cloud platform and a lower limb rehabilitation robot provided by the invention. Referring to fig. 1 and 2, the rehabilitation training system includes: the lower limb rehabilitation robot, the equipment sensor acquisition device, the cloud platform server, the doctor terminal and the patient terminal are connected in sequence; and the cloud database and the cloud total interface are connected with the cloud platform server. The patient terminal is also in communication with the cloud platform server connection.
The device sensor acquisition device is used for acquiring training data of a patient and transmitting the training data to the cloud platform server in real time when the patient performs lower limb rehabilitation training by adopting the lower limb rehabilitation robot; and storing the real-time training data of the patient into the cloud database. And analyzing the real-time data of the patient training through the cloud platform server, and transmitting the analysis result to the doctor terminal to make a rehabilitation plan and evaluate the rehabilitation condition.
The equipment sensor collection system of recovered robot of low limbs is used for gathering the rehabilitation training data of patient's pelvis and low limbs, and through the force sensor who is tied in patient's waist and the inertial sensor who is tied in patient's shank to gather patient's training data, patient's training data includes: real-time joint angles of the patient's legs, rotation angles of the patient's waist, left and right forces of the waist, and the like. The device sensor acquisition device of the lower limb rehabilitation robot is connected with the cloud platform server and used for sending the patient training data to the cloud platform server, and then the cloud platform server stores the patient training data in the cloud database and displays the patient training data on the cloud total interface.
The cloud platform server has data processing and analyzing functions, is used for analyzing and processing the training data of the patient, and displays the analysis result on a cloud main interface. The cloud platform server generates a rehabilitation training condition of the patient according to the training data of the patient and sends the rehabilitation training condition to the doctor terminal. The rehabilitation training condition of the patient comprises a rehabilitation curve and a training result of the patient. The training result comprises the stretching condition of the legs of the patient, the sensitive condition of the waist of the patient, the left and right acting force condition of the waist of the patient and pathological indexes. The pathological index is a similarity index obtained by comparing the training data of the patient with a training data scale corresponding to the medical training.
The doctor terminal is used for making a rehabilitation training plan of the patient according to the rehabilitation training condition and sending the rehabilitation training plan to the patient terminal for display. The doctor terminal is used for making a rehabilitation training plan of the patient, guiding the patient to carry out specific rehabilitation training in real time, checking training data of the patient and managing the patient. The data received by the doctor terminal is personal data (patient information) and rehabilitation data of all patients guided by the doctor, and the output is a rehabilitation training plan of the patient, namely specific training contents including training modes, intensity, times and the like.
The general flow of adopting the doctor terminal to carry out online diagnosis and treatment is as follows: the patient firstly inputs patient information (including basic information and pathological information), then a doctor is selected for service, and the doctor firstly makes a rehabilitation training plan according to the basic information and the pathological information of the patient. On-line diagnosis and treatment is a long-term process, and doctors can make different professional training plans in each period of patient rehabilitation.
The patient terminal is a PC (personal computer) for helping the patient to carry out a rehabilitation training plan and is responsible for displaying the training condition of the patient and the historical training data of some patients. And the patient adopts the lower limb rehabilitation robot to carry out lower limb rehabilitation training according to the rehabilitation training plan displayed by the patient terminal.
The doctor terminal with the patient terminal all has audio-visual interaction function, and the patient can guide the patient to carry out corresponding training through the camera at patient terminal and the conversation of audio-visual with the doctor of distal end, can let the doctor of distal end guide the patient, and patient and doctor can be through the face-to-face rehabilitation and the remote rehabilitation of carrying on of long-range mode guide. The cloud platform server can store video and audio call records of patients and doctors in a period of time, and text files of training contents and training results of the patients.
According to the invention, all users and rehabilitation robots under the cloud platform are managed in a unified manner through the cloud platform server, and data are stored and classified through the cloud database, so that different users can see different data. The specific process of grading data is to adopt different data filtering means according to different users, specifically 4 grades, which are respectively a platform super manager, a general responsible person of a hospital, a doctor and a general user (patient). The classification standard is the authority of the cloud platform data, and the higher the classification is, the larger the authority of the data which can be seen and processed is, so that the data of a general user can be conveniently managed without causing security problems such as data leakage and the like.
Meanwhile, the cloud platform server transmits and receives data in real time by applying a TCP/IP protocol, and displays the acquired data through the cloud total interface. Specifically, the cloud platform server adopts a TCP/IP protocol to respectively perform data transmission with the doctor terminal and the patient terminal. The doctor terminal can make a rehabilitation training plan for a patient in an online diagnosis and treatment mode, meanwhile, video and audio communication is added, real-time guidance is conducted on the patient, and the video and audio interaction system is arranged in the PC computers of the patient terminal and the doctor terminal.
And finally, analyzing the rehabilitation data of the patient through a data processing and analyzing module of the cloud platform server, analyzing and calculating pathological indexes of the patient so as to make and evaluate a subsequent rehabilitation plan. The pathological indexes of the patient are that collected patient training data are analyzed, the rehabilitation stage of the patient is judged by comparing the pathological indexes in the medicine, and a doctor can conduct the following training guidance and the formulation of a training plan according to the severity degree.
The cloud platform server is further used for storing the patient information of the patient, the corresponding rehabilitation training plan, the corresponding training data and the corresponding rehabilitation training situation into a cloud database.
The equipment sensor acquisition device is also used for acquiring the idle state of the lower limb rehabilitation robot and sending the idle state to the cloud platform server; and the cloud platform server allocates the corresponding lower limb rehabilitation robot to the patient for rehabilitation training according to the patient information of the patient and the idle state of the lower limb rehabilitation robot. Or after logging in the cloud platform, the doctor can select a specific lower limb rehabilitation robot device for the patient to perform rehabilitation training.
The cloud platform server provided by the invention has a function of displaying the rehabilitation data in real time, and due to the existence of the cloud platform, data sharing is achieved, so that all users using the cloud platform can conveniently and quickly view the information stored in the cloud platform through the mobile phone end and the PC end.
The rehabilitation training system provided by the invention can analyze and track specific rehabilitation data of a specific patient, store the training data of the patient and summarize historical training data of the patient, so that the scientificity of making a rehabilitation training plan of the patient is improved, and the rehabilitation training process of the patient is accelerated. In addition, the invention also carries out uniform acquisition and management on the sensor information of the rehabilitation equipment so as to better carry out rehabilitation treatment on the patient.
Fig. 3 is an operation flowchart of the rehabilitation training system based on the cloud platform and the lower limb rehabilitation robot provided by the invention. Referring to fig. 3, the operation process of the rehabilitation training system based on the cloud platform and the lower limb rehabilitation robot of the invention comprises the following steps:
(1) starting rehabilitation;
(2) the user registration login system comprises four users which can log in, wherein the four users can be registered and logged in by patients, doctors (including common doctors and department doctors), general responsible persons of hospitals and platform supervisors, and a user registration login module is a registration login function realized by a cloud platform server and displays different interfaces after logging in through IDs of different users.
(3) The doctor looks up the patient information of patient at the doctor terminal, no matter general doctor or department doctor can look up the recent rehabilitation training content of patient after registering to log in, and the content can include all recent training data of patient and recovered condition, and the training data of patient includes: real-time joint angles of legs of a patient, rotation angles of waist of the patient, left and right acting forces of the waist and the like, and the rehabilitation condition is a pathological index comparing medical pathological characteristic analysis, a training result and a rehabilitation curve of the patient;
(4) the doctor makes the rehabilitation training plan at the doctor terminal, and the doctor makes different rehabilitation training plans to its pathological feature according to every patient, the rehabilitation training plan contains contents such as training of sitting and standing, walking training, resistance training and recreation training, and the doctor can set up the degree of difficulty grade of training according to the different recovered condition of patient.
(5) The cloud platform server (cloud platform for short) distributes the rehabilitation robots, the rehabilitation robots need to be utilized to the maximum degree due to the fact that the rehabilitation robots are expensive in manufacturing cost and limited in quantity, and the cloud platform is distributed according to the idle state of the rehabilitation robots and the convenience of communities where patients are located.
(6) The patient executes the rehabilitation training plan, and after the patient reaches the designated rehabilitation robot, the rehabilitation training plan which is already made by the doctor is implemented. And the doctor guides the patient to adopt the lower limb rehabilitation machine on line according to the video and audio interaction function of the doctor terminal to perform rehabilitation training according to the rehabilitation training plan. When the patient adopts the lower limb rehabilitation machine to carry out rehabilitation training according to the rehabilitation training plan, the equipment sensor acquisition device acquires training data of the patient and sends the training data to the cloud platform server.
(7) After the patient executes the rehabilitation training plan, the cloud platform server generates the rehabilitation training condition of the patient according to the training data of the patient, and stores the patient information of the patient and the corresponding rehabilitation training plan, the training data and the rehabilitation training condition into a cloud database.
(8) A doctor analyzes rehabilitation data, can know real-time rehabilitation conditions and training results of a patient through big data analysis, the rehabilitation data comprise stretching conditions of legs of the patient, sensitive conditions of the waist of the patient, left and right acting force conditions of the waist of the patient and the like, and the rehabilitation data are collected by the lower limb rehabilitation robot equipment sensor collecting device and generated by the cloud platform server;
(9) the cloud platform writes in the database and updates a patient rehabilitation curve, the patient rehabilitation curve refers to a historical curve of a patient in a training process, the abscissa is time, and the ordinate is a unit of rehabilitation data of the patient. The patient's rehabilitation training curve is updated and is shown respectively at the interface at patient terminal, the interface at doctor terminal and high in the clouds total interface, and its effect gives some rehabilitation incentives for the patient, makes things convenient for the doctor to carry out analysis and summary to the recovered data, judges patient's specific recovered condition.
(10) The doctor makes the next rehabilitation training plan according to the rehabilitation condition of the patient.
(11) The healing process is over.
Based on the rehabilitation training system, the invention also provides a rehabilitation training method based on the cloud platform and the lower limb rehabilitation robot, and the rehabilitation training method comprises the following steps:
the method comprises the steps that a doctor terminal obtains patient information of a patient who is currently treated; the patient information comprises basic information, residence information and diseased conditions of the patient;
the doctor terminal acquires recent training data and a rehabilitation training condition of the patient from a cloud platform server according to the patient information, and formulates a current rehabilitation training plan of the patient according to the training data and the rehabilitation training condition;
the doctor terminal sends the rehabilitation training plan to a patient terminal and the cloud platform server respectively;
the cloud platform server allocates a corresponding lower limb rehabilitation robot to the patient according to the patient information of the patient and the idle state of the lower limb rehabilitation robot;
after the patient reaches the lower limb rehabilitation robot, the patient starts a video-audio interaction function of the patient terminal and performs video-audio interaction with the doctor terminal;
and the doctor guides the patient to adopt the lower limb rehabilitation machine on line according to the video and audio interaction function of the doctor terminal to perform rehabilitation training according to the rehabilitation training plan.
When the patient adopts the lower limb rehabilitation machine to perform rehabilitation training according to the rehabilitation training plan, the equipment sensor acquisition device acquires training data of the patient and sends the training data to the cloud platform server; the training data of the patient comprises real-time joint angles of legs, waist rotation angles and left and right acting forces of the waist of the patient;
the cloud platform server generates a rehabilitation training condition of the patient according to the training data of the patient, and stores the patient information of the patient, the corresponding rehabilitation training plan, the training data and the rehabilitation training condition into a cloud database.
Before the doctor terminal acquires the patient information of the patient at present, the method further comprises the following steps:
the doctor logs in the doctor terminal according to the doctor registration information, and the doctor can check the information of all patients in charge at the doctor terminal.
Before the patient starts the video and audio interaction function of the patient terminal, the method further comprises the following steps:
the patient logs in the patient terminal according to the patient registration information, and the patient can refer to the relevant information of the patient at the patient terminal.
The rehabilitation training method further comprises the following steps:
the cloud platform server generates a rehabilitation curve of the patient according to the training data and the training result of the patient stored in a cloud database;
and the cloud platform server sends the rehabilitation curve to the doctor terminal and the patient terminal respectively for display.
The rehabilitation training method further comprises the following steps:
a general responsible person of the hospital logs in the cloud platform server according to registration information of a responsible person, and data of all patients in the hospital are checked and edited on a cloud general interface of the cloud platform server;
and a platform super manager logs in the cloud platform server according to super manager registration information, and checks and edits all data in the cloud database on a cloud total interface of the cloud platform server.
The device sensor acquisition device can transmit the data of the patient to the cloud in real time and display the data on the cloud general interface, the database of the cloud is updated through the cloud server, and the doctor terminal is used for analyzing the data of the patient and making a patient training plan. According to the invention, a doctor can monitor the running states of the patient and the lower limb rehabilitation robot through the cloud end, and the data generated by the data analysis module is sent to the cloud platform interface of the lower limb robot rehabilitation system to analyze and display the real-time data of the rehabilitation training of the patient. The invention can well integrate the robot technology and the internet technology, so that the traditional robot technology can be better shown through the internet cloud platform technology.
The above description is only for the preferred embodiment of the present invention, but the scope of the present invention is not limited thereto, and any changes or substitutions that can be easily conceived by those skilled in the art within the technical scope of the present invention disclosed herein should be covered within the scope of the present invention. Therefore, the protection scope of the present invention shall be subject to the protection scope of the claims.
The principles and embodiments of the present invention have been described herein using specific examples, which are presented solely to aid in the understanding of the apparatus and its core concepts; meanwhile, for a person skilled in the art, according to the idea of the present invention, the specific embodiments and the application range may be changed. In view of the above, the present disclosure should not be construed as limiting the invention.
Claims (10)
1. The utility model provides a rehabilitation training system based on cloud platform and recovered robot of low limbs which characterized in that, rehabilitation training system include: the lower limb rehabilitation robot, the equipment sensor acquisition device, the cloud platform server, the doctor terminal and the patient terminal are connected in sequence;
the device sensor acquisition device is used for acquiring training data of a patient and sending the training data to the cloud platform server when the patient performs lower limb rehabilitation training by adopting the lower limb rehabilitation robot; the training data of the patient comprises real-time joint angles of legs, waist rotation angles and left and right acting forces of the waist of the patient;
the cloud platform server is used for generating a rehabilitation training condition of the patient according to the training data of the patient and sending the rehabilitation training condition to the doctor terminal; the rehabilitation training condition of the patient comprises a rehabilitation curve and a training result of the patient; the training result comprises the extension condition of the legs of the patient, the sensitive condition of the waist of the patient and the left and right acting force condition of the waist of the patient;
the doctor terminal is used for making a rehabilitation training plan of the patient according to the rehabilitation training condition and sending the rehabilitation training plan to the patient terminal for display;
and the patient adopts the lower limb rehabilitation robot to carry out lower limb rehabilitation training according to the rehabilitation training plan displayed by the patient terminal.
2. The rehabilitation training system of claim 1, wherein the cloud platform server uses a TCP/IP protocol to perform data transmission with the doctor terminal and the patient terminal, respectively.
3. The rehabilitation training system of claim 1, wherein the cloud platform server is further configured to store patient information of the patient and the corresponding rehabilitation training program, the training data, and the rehabilitation training situation in a cloud database.
4. The rehabilitation training system according to claim 1, wherein the device sensor acquisition device is further configured to acquire an idle state of the lower limb rehabilitation robot and send the idle state to the cloud platform server; the cloud platform server is further used for distributing the corresponding lower limb rehabilitation robot to the patient according to the patient information of the patient and the idle state of the lower limb rehabilitation robot.
5. A rehabilitation training method based on a cloud platform and a lower limb rehabilitation robot, which is characterized in that the rehabilitation training method is based on the rehabilitation training system of claim 1; the rehabilitation training method comprises the following steps:
the method comprises the steps that a doctor terminal obtains patient information of a patient who is currently treated; the patient information comprises basic information, residence information and diseased conditions of the patient;
the doctor terminal acquires recent training data and a rehabilitation training condition of the patient from a cloud platform server according to the patient information, and formulates a current rehabilitation training plan of the patient according to the training data and the rehabilitation training condition;
the doctor terminal sends the rehabilitation training plan to a patient terminal and the cloud platform server respectively;
the cloud platform server allocates a corresponding lower limb rehabilitation robot to the patient according to the patient information of the patient and the idle state of the lower limb rehabilitation robot;
after the patient reaches the lower limb rehabilitation robot, the patient starts a video-audio interaction function of the patient terminal and performs video-audio interaction with the doctor terminal;
and the doctor guides the patient to adopt the lower limb rehabilitation machine on line according to the video and audio interaction function of the doctor terminal to perform rehabilitation training according to the rehabilitation training plan.
6. The rehabilitation training method according to claim 5, wherein when the patient performs rehabilitation training according to the rehabilitation training plan using the lower limb rehabilitation machine, an equipment sensor acquisition device acquires training data of the patient and transmits the training data to the cloud platform server; the training data of the patient comprises real-time joint angles of legs, waist rotation angles and left and right acting forces of the waist of the patient;
the cloud platform server generates a rehabilitation training condition of the patient according to the training data of the patient, and stores the patient information of the patient, the corresponding rehabilitation training plan, the training data and the rehabilitation training condition into a cloud database.
7. The rehabilitation training method according to claim 5, further comprising, before the doctor terminal acquires the patient information of the currently-visited patient:
and the doctor logs in the doctor terminal according to the doctor registration information.
8. The rehabilitation training method according to claim 5, further comprising, before the patient turns on the audio-visual interaction function of the patient terminal:
and the patient logs in the patient terminal according to the patient registration information.
9. The rehabilitation training method of claim 5, further comprising:
the cloud platform server generates a rehabilitation curve of the patient according to the training data and the training result of the patient stored in a cloud database;
and the cloud platform server sends the rehabilitation curve to the doctor terminal and the patient terminal respectively for display.
10. The rehabilitation training method of claim 5, further comprising:
a general responsible person of the hospital logs in the cloud platform server according to registration information of a responsible person, and data of all patients in the hospital are checked and edited on a cloud general interface of the cloud platform server;
and a platform super manager logs in the cloud platform server according to super manager registration information, and checks and edits all data in the cloud database on a cloud total interface of the cloud platform server.
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| CN113178241A (en) * | 2021-05-25 | 2021-07-27 | 广州科安康复专用设备有限公司 | VR rehabilitation training system |
| CN114005511A (en) * | 2021-11-05 | 2022-02-01 | 上海卓道医疗科技有限公司 | Rehabilitation training method and system, training self-service equipment and storage medium |
| CN114203275A (en) * | 2021-12-16 | 2022-03-18 | 江苏海洋大学 | Recovery state analysis system for rehabilitation training movement |
| 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 |
| CN114420251B (en) * | 2022-03-30 | 2022-06-21 | 南京麦澜德医疗科技股份有限公司 | Rehabilitation data transmission system and method suitable for ultrasonic uterus rehabilitation instrument |
| CN115910281A (en) * | 2023-03-02 | 2023-04-04 | 江西原科中医药智能装备有限公司 | Control method and system of thermosensitive moxibustion robot, storage medium and terminal |
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