A Local Rehabilitation Internet of Things System for Rehabilitation Stations

An Internet of Things system and local area technology, applied in the field of rehabilitation medicine, can solve problems such as difficult data sharing among rehabilitation physicians, difficulty in accurate compensation policies, limited ability and time lag, etc., to facilitate interactive sharing, speed up rehabilitation timeliness, and reduce diagnosis and treatment The effect of pressure

Active Publication Date: 2022-05-06
ANHUI UNIVERSITY
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

Rehabilitation stations generally count and record the training of rehabilitation personnel manually. Without Internet connection, the efficiency is low, the number of personnel that can be served is effective, and the ability of different rehabilitation stations to communicate with each other is limited, so it is easy to become information islands
[0004] (2) Difficulties in administrative supervision at all levels
Ordinary rehabilitation stations have limited ability to report materials and have a large time lag. Therefore, it is difficult for relevant governments at all levels to effectively grasp the rehabilitation personnel, and it is difficult to accurately implement various compensation policies, and it is also difficult to formulate substantive and effective policies for rehabilitation personnel. planning, guidance
[0005] (3) It is difficult to share the data of rehabilitation personnel
Because most of the various data of the rehabilitation station are manually recorded, it is difficult for the data of each station to be shared on the Internet for rehabilitation physicians to use. Therefore, it is difficult for rehabilitation physicians to provide remote and targeted guidance on the specific training of rehabilitation personnel.
And because the user's training and health records cannot be obtained anytime and anywhere, the daily training data of rehabilitation patients cannot provide reference for the doctor's diagnosis when they see a doctor, and it is difficult to play a unique role

Method used

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  • A Local Rehabilitation Internet of Things System for Rehabilitation Stations
  • A Local Rehabilitation Internet of Things System for Rehabilitation Stations
  • A Local Rehabilitation Internet of Things System for Rehabilitation Stations

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0044] Embodiment 1: Deployment of a local rehabilitation IoT system for rehabilitation stations and design between modules:

[0045] 1) Front-end equipment system deployment, front-end equipment systems such as figure 1 As shown, several rehabilitation training data collected by the sensor system module in each rehabilitation device are connected to the wireless WiFi router of the rehabilitation station through WiFi, and then connected to the network card interface of the computer through a wired network cable.

[0046] After the rehabilitation equipment is connected to the wireless WiFi, the IP address of each rehabilitation equipment is fixed in the wireless WiFi router, so the computer can poll the IP of the rehabilitation equipment, read the sensor data uploaded by the corresponding rehabilitation equipment, and save it to the local area data on the local computer in the center. After the debugger debugs and fixes the IP of the wireless WiFi of the rehabilitation equipme...

Embodiment 2

[0055] Embodiment two: if image 3 shown

[0056]The rehabilitation user client uses the Socket method to apply for login to the cloud platform server, and the rehabilitation user module of the background management system performs identity authentication on the rehabilitation user. If the authentication is successful, the rehabilitation user client goes online to query the status of online rehabilitation physicians and select a rehabilitation physician Request connection, enter the doctor's waiting queue, or choose an offline rehabilitation doctor and leave a message to send relevant information files.

[0057] The rehabilitation doctor client also uses the Socket method to apply for login to the cloud platform server. After the identity authentication is successful, select a waiting rehabilitation user to establish a connection, and then start remote diagnosis and treatment. You can also select an offline rehabilitation user with a message to browse its message content and ...

Embodiment 3

[0060] Embodiment three: as Figure 4 shown

[0061] The rehabilitation user uses the customized rehabilitation card to swipe the rehabilitation device (its IP address is "IP1"). If the rehabilitation card is successfully authenticated, the rehabilitation device IP1 is started, and the rehabilitation user starts to use this device. All kinds of sports information are sent to the local data center through WiFi. After receiving the sports information, the local data center checks whether it is the same as the previous data. If the data is not repeated, it will be stored in the local database. If it is repeated, it will not be stored. For example, if the training speed remains consistent for a long time, only the data of the training speed change and the timestamp are stored to reduce the storage burden and reduce the network transmission intensity. On the other hand, the stored training data plus time stamp, user information, equipment information, and rehabilitation station in...

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PUM

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Abstract

The invention discloses a local rehabilitation Internet of things system for rehabilitation stations, which includes a front-end equipment system composed of a sensor system module, a rehabilitation equipment module, a data transmission module, and a training display module, a local data center, a cloud platform server, The server system composed of edge computing module and rehabilitation intelligent system, the background management system composed of rehabilitation management module, rehabilitation user module, rehabilitation doctor module, government monitoring module and WEB server. Through the cooperation of various system modules, the present invention can customize private rehabilitation exercise programs for rehabilitation users, provide lifelong follow-up research of patients for rehabilitation physicians, provide massive data mining for rehabilitation for big data analysts, and provide decision support for disabled patients for government departments. Through big data analysis, we will create a rehabilitation sports ecosystem of Internet of Things + big rehabilitation, and provide fine professional doctor-level caring care for rehabilitation users with different symptoms.

Description

technical field [0001] The invention belongs to the field of rehabilitation medicine, relates to the Internet of Things technology, in particular to a local rehabilitation Internet of Things system for rehabilitation stations. Background technique [0002] Rehabilitation medical IoT is the in-depth application of IoT technology in the field of rehabilitation medical, and the rehabilitation home training mode is a specific application method of rehabilitation medical. Using the rehabilitation home model can effectively concentrate equipment, especially large-scale equipment, and can effectively grasp the sports training and rehabilitation conditions of community / street rehabilitation personnel, and can guide the rehabilitation training of rehabilitation personnel in a targeted manner, and rehabilitation personnel can also intuitively check themselves Rehabilitation training conditions can be interacted with rehabilitation physicians for help, and relevant government agencies ...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): H04L67/12H04L67/55H04L67/02H04L67/10H04L67/06H04L69/16H04L67/1097A61B5/00
CPCH04L67/12H04L67/02H04L67/10H04L67/06H04L69/162H04L67/1097A61B5/4848H04L67/55
Inventor 陈鹏刘胜民
Owner ANHUI UNIVERSITY
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