Lower Limb Joint Nursing and Rehabilitation System Based on Intelligent Medical Treatment
With the aggravation of the problem of aging population, all kinds of lower limb paralysis caused by various diseases occur frequently. People’s demand for lower limb nursing and rehabilitation treatment is growing. In this paper, combined with intelligent medical technology and lower limb kinematic...
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Online Access: | http://dx.doi.org/10.1155/2021/6646977 |
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doaj-d7537fa6d4f54e4590b434b4db1b1c182021-02-22T00:01:46ZengHindawi LimitedJournal of Healthcare Engineering2040-23092021-01-01202110.1155/2021/6646977Lower Limb Joint Nursing and Rehabilitation System Based on Intelligent Medical TreatmentTianjun Geng0Xiaoqian Jia1Yanli Guo2Department of Joint SurgeryDepartment of Joint SurgeryDepartment of Joint SurgeryWith the aggravation of the problem of aging population, all kinds of lower limb paralysis caused by various diseases occur frequently. People’s demand for lower limb nursing and rehabilitation treatment is growing. In this paper, combined with intelligent medical technology and lower limb kinematics model, this paper proposes to build a lower limb joint nursing and rehabilitation system based on intelligent medical treatment. It is expected that, through the following limb joint rehabilitation robot as the main rehabilitation means, a smart nursing rehabilitation system which can quickly respond to users and realize remote rehabilitation nursing can be designed. First of all, it is clear that the main body of the lower limb joint rehabilitation system consists of the robot body and the state display system. Then, the sensor, amplifier, and data acquisition card are set in the data acquisition system, and the plantar balance force is detected using a FlexiForce film pressure sensor. The final control system mainly includes the main control module program and the lower limb action recognition program. The motor control software adopts PID regulation method, and the lower limb action recognition adopts SVM one-to-one classification method. After the construction of lower limb joint nursing and rehabilitation system, the accuracy rate of action recognition and classification was tested. In the third experiment, the accuracy of all the movements was 100%. Then, the joint displacement and angle changes of the experimenter assisted by the system were analyzed. The experimenter’s knee joint and hip joint show a normal walking state, and the joint angle changes tend to be normal. Ten out of 55 rehabilitation system users were randomly selected for interview survey. The total scores of operation convenience, wearing comfort, intensity suitability, and movement science of the system were 90, 83, 84, and 91, respectively. This shows that the rehabilitation action designed by the system is scientific and easy to operate and can be put into use in rehabilitation training after improving the wearing comfort.http://dx.doi.org/10.1155/2021/6646977 |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Tianjun Geng Xiaoqian Jia Yanli Guo |
spellingShingle |
Tianjun Geng Xiaoqian Jia Yanli Guo Lower Limb Joint Nursing and Rehabilitation System Based on Intelligent Medical Treatment Journal of Healthcare Engineering |
author_facet |
Tianjun Geng Xiaoqian Jia Yanli Guo |
author_sort |
Tianjun Geng |
title |
Lower Limb Joint Nursing and Rehabilitation System Based on Intelligent Medical Treatment |
title_short |
Lower Limb Joint Nursing and Rehabilitation System Based on Intelligent Medical Treatment |
title_full |
Lower Limb Joint Nursing and Rehabilitation System Based on Intelligent Medical Treatment |
title_fullStr |
Lower Limb Joint Nursing and Rehabilitation System Based on Intelligent Medical Treatment |
title_full_unstemmed |
Lower Limb Joint Nursing and Rehabilitation System Based on Intelligent Medical Treatment |
title_sort |
lower limb joint nursing and rehabilitation system based on intelligent medical treatment |
publisher |
Hindawi Limited |
series |
Journal of Healthcare Engineering |
issn |
2040-2309 |
publishDate |
2021-01-01 |
description |
With the aggravation of the problem of aging population, all kinds of lower limb paralysis caused by various diseases occur frequently. People’s demand for lower limb nursing and rehabilitation treatment is growing. In this paper, combined with intelligent medical technology and lower limb kinematics model, this paper proposes to build a lower limb joint nursing and rehabilitation system based on intelligent medical treatment. It is expected that, through the following limb joint rehabilitation robot as the main rehabilitation means, a smart nursing rehabilitation system which can quickly respond to users and realize remote rehabilitation nursing can be designed. First of all, it is clear that the main body of the lower limb joint rehabilitation system consists of the robot body and the state display system. Then, the sensor, amplifier, and data acquisition card are set in the data acquisition system, and the plantar balance force is detected using a FlexiForce film pressure sensor. The final control system mainly includes the main control module program and the lower limb action recognition program. The motor control software adopts PID regulation method, and the lower limb action recognition adopts SVM one-to-one classification method. After the construction of lower limb joint nursing and rehabilitation system, the accuracy rate of action recognition and classification was tested. In the third experiment, the accuracy of all the movements was 100%. Then, the joint displacement and angle changes of the experimenter assisted by the system were analyzed. The experimenter’s knee joint and hip joint show a normal walking state, and the joint angle changes tend to be normal. Ten out of 55 rehabilitation system users were randomly selected for interview survey. The total scores of operation convenience, wearing comfort, intensity suitability, and movement science of the system were 90, 83, 84, and 91, respectively. This shows that the rehabilitation action designed by the system is scientific and easy to operate and can be put into use in rehabilitation training after improving the wearing comfort. |
url |
http://dx.doi.org/10.1155/2021/6646977 |
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