Abstract

Stroke is a major disease that seriously endangers the lives and health of middle-aged and elderly people in our country, but its implementation of secondary prevention needs to be improved urgently. The application of IoT technology in home health monitoring and telemedicine, as well as the popularization of cloud computing, contributes to the early identification of ischemic stroke and provides intelligent, humanized, and preventive medical and health services for patients at high risk of stroke. This article clarifies the networking structure and networking objects of the rehabilitation system Internet of Things, clarifies the functions of each part, and establishes an overall system architecture based on smart medical care; the design and optimization of the mechanical part of the stroke rehabilitation robot are carried out, as well as kinematics and dynamic analysis. According to the functions of different types of stroke rehabilitation robots, strategies are given for the use of lower limb rehabilitation robots; standardized codes are used to identify system objects, and RFID technology is used to automatically identify users and devices. Combined with the use of the Internet and GSM mobile communication network, construct a network database of system networking objects and, on this basis, establish information management software based on a smart medical rehabilitation system that takes care of both doctors and patients to realize the system's Internet of Things architecture. In addition, this article also gives the recovery strategy generation in the system with the design method of resource scheduling method and the theoretical algorithm of rehabilitation strategy generation is given and verified. This research summarizes the application background, advantages, and past practice of the Internet of Things in stroke medical care, develops and applies a medical collaborative cloud computing system for systematic intervention of stroke, and realizes the module functions such as information sharing, regional monitoring, and collaborative consultation within the base.

Highlights

  • Stroke is a sudden onset of cerebral blood circulation disorders

  • This article analyzes the rehabilitation needs of the stroke robot rehabilitation system, based on the concept of the Internet of ings, clarifies the specific structure of the rehabilitation system, and sorts out and proposes a comprehensive stroke rehabilitation robot system plan to adapt to the smart medical care in the construction of smart cities

  • In view of the increasing incidence of stroke in China and the implementation of early stroke identification being not optimistic, this study proposes the use of the Internet of ings and the use of multitarget data collection, multiterminal information interconnection and connection, cloud computing intelligent data processing, and remote home monitoring under remote home monitoring

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Summary

Research Article

Medical Internet of Things to Realize Elderly Stroke Prevention and Nursing Management. Is article clarifies the networking structure and networking objects of the rehabilitation system Internet of ings, clarifies the functions of each part, and establishes an overall system architecture based on smart medical care; the design and optimization of the mechanical part of the stroke rehabilitation robot are carried out, as well as kinematics and dynamic analysis. Combined with the use of the Internet and GSM mobile communication network, construct a network database of system networking objects and, on this basis, establish information management software based on a smart medical rehabilitation system that takes care of both doctors and patients to realize the system’s Internet of ings architecture. Is research summarizes the application background, advantages, and past practice of the Internet of ings in stroke medical care, develops and applies a medical collaborative cloud computing system for systematic intervention of stroke, and realizes the module functions such as information sharing, regional monitoring, and collaborative consultation within the base This article gives the recovery strategy generation in the system with the design method of resource scheduling method and the theoretical algorithm of rehabilitation strategy generation is given and verified. is research summarizes the application background, advantages, and past practice of the Internet of ings in stroke medical care, develops and applies a medical collaborative cloud computing system for systematic intervention of stroke, and realizes the module functions such as information sharing, regional monitoring, and collaborative consultation within the base

Introduction
Equipment feedback
Sample groups
Sample numbers
Signal point
Numerical variable groups
Distribution probability
Full Text
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