Retracted: Upper Limb Rehabilitation Robot System Based on Internet of Things Remote Control
Modern technology has been improving, as is medical technology. Over the years, rehabilitation medicine is developing and growing. The use of rehabilitation robots to achieve the upper limb motor function of patients with hemiplegia has also become a popular research in academia. Under this backgrou...
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| Format: | Article |
| Language: | English |
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IEEE
2020-01-01
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| Series: | IEEE Access |
| Online Access: | https://ieeexplore.ieee.org/document/9159631/ |
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| _version_ | 1841557022139482112 |
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| author | Xing Li Junpei Zhong |
| author_facet | Xing Li Junpei Zhong |
| author_sort | Xing Li |
| collection | DOAJ |
| description | Modern technology has been improving, as is medical technology. Over the years, rehabilitation medicine is developing and growing. The use of rehabilitation robots to achieve the upper limb motor function of patients with hemiplegia has also become a popular research in academia. Under this background, this paper proposes an upper limb robot rehabilitation system based on Internet of Things remote control. The upper limb robotic rehabilitation system based on the Internet of Things in this paper is composed of upper computer and lower computer. Information is collected by pressure sensor. The transmission process is realized by STM32 controller, which is first transmitted to the upper computer, and then the information needs to be processed After processing, it sends control commands to the lower computer controller to control the motor drive of the rehabilitation robot, so as to realize the rehabilitation training of the patient. In order to verify the reliability of the system in this paper, this paper conducted a motion test and system dynamic performance test. The research results of this paper show that the passive motion accuracy of the system in this paper has reached more than 97%, and the active motion accuracy has reached more than 98%. In addition, the maximum speed response time of the upper limb rehabilitation robot system based on the remote control of the Internet of Things in this paper is 5.7ms. The amount of adjustment is 5.32%, and the dynamic performance is good. The research results of this paper show that the upper limb rehabilitation robot system based on the Internet of Things remote control in this paper has excellent performance, which can provide a certain reference value for the research of rehabilitation robot. |
| format | Article |
| id | doaj-art-770831cf372247ec9ff7a9822b240965 |
| institution | Kabale University |
| issn | 2169-3536 |
| language | English |
| publishDate | 2020-01-01 |
| publisher | IEEE |
| record_format | Article |
| series | IEEE Access |
| spelling | doaj-art-770831cf372247ec9ff7a9822b2409652025-01-07T00:00:59ZengIEEEIEEE Access2169-35362020-01-01815446115447010.1109/ACCESS.2020.30143789159631Retracted: Upper Limb Rehabilitation Robot System Based on Internet of Things Remote ControlXing Li0Junpei Zhong1https://orcid.org/0000-0001-7642-2961School of Electrical Engineering and Intelligentization, Dongguan University of Technology, Dongguan, ChinaS.M. Wu School of Intelligent Engineering, South China University of Technology, Guangzhou, ChinaModern technology has been improving, as is medical technology. Over the years, rehabilitation medicine is developing and growing. The use of rehabilitation robots to achieve the upper limb motor function of patients with hemiplegia has also become a popular research in academia. Under this background, this paper proposes an upper limb robot rehabilitation system based on Internet of Things remote control. The upper limb robotic rehabilitation system based on the Internet of Things in this paper is composed of upper computer and lower computer. Information is collected by pressure sensor. The transmission process is realized by STM32 controller, which is first transmitted to the upper computer, and then the information needs to be processed After processing, it sends control commands to the lower computer controller to control the motor drive of the rehabilitation robot, so as to realize the rehabilitation training of the patient. In order to verify the reliability of the system in this paper, this paper conducted a motion test and system dynamic performance test. The research results of this paper show that the passive motion accuracy of the system in this paper has reached more than 97%, and the active motion accuracy has reached more than 98%. In addition, the maximum speed response time of the upper limb rehabilitation robot system based on the remote control of the Internet of Things in this paper is 5.7ms. The amount of adjustment is 5.32%, and the dynamic performance is good. The research results of this paper show that the upper limb rehabilitation robot system based on the Internet of Things remote control in this paper has excellent performance, which can provide a certain reference value for the research of rehabilitation robot.https://ieeexplore.ieee.org/document/9159631/ |
| spellingShingle | Xing Li Junpei Zhong Retracted: Upper Limb Rehabilitation Robot System Based on Internet of Things Remote Control IEEE Access |
| title | Retracted: Upper Limb Rehabilitation Robot System Based on Internet of Things Remote Control |
| title_full | Retracted: Upper Limb Rehabilitation Robot System Based on Internet of Things Remote Control |
| title_fullStr | Retracted: Upper Limb Rehabilitation Robot System Based on Internet of Things Remote Control |
| title_full_unstemmed | Retracted: Upper Limb Rehabilitation Robot System Based on Internet of Things Remote Control |
| title_short | Retracted: Upper Limb Rehabilitation Robot System Based on Internet of Things Remote Control |
| title_sort | retracted upper limb rehabilitation robot system based on internet of things remote control |
| url | https://ieeexplore.ieee.org/document/9159631/ |
| work_keys_str_mv | AT xingli retractedupperlimbrehabilitationrobotsystembasedoninternetofthingsremotecontrol AT junpeizhong retractedupperlimbrehabilitationrobotsystembasedoninternetofthingsremotecontrol |