Optimization of Surface Electromyography-Based Neurofeedback Rehabilitation Intervention System
In this paper, we study the effects of the neurofeedback method of surface EMG on electrophysiology and evaluate its effects on postural control, balance, and motor function using relevant scales. We optimize the neurofeedback rehabilitation intervention system based on surface EMG, study the object...
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Series: | Journal of Healthcare Engineering |
Online Access: | http://dx.doi.org/10.1155/2021/5546716 |
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doaj-eef18c104f804e12b4873cd343d862812021-03-29T00:09:55ZengHindawi LimitedJournal of Healthcare Engineering2040-23092021-01-01202110.1155/2021/5546716Optimization of Surface Electromyography-Based Neurofeedback Rehabilitation Intervention SystemWenlin Sun0Yujun Qi1Yang Sun2Tiantian Zhao3Xiaoyong Su4Yang Liu5Department of Rehabilitation MedicineDepartment of Rehabilitation MedicineDepartment of ImagingDepartment of Neurology IDepartment of Rehabilitation MedicineDepartment of Rehabilitation MedicineIn this paper, we study the effects of the neurofeedback method of surface EMG on electrophysiology and evaluate its effects on postural control, balance, and motor function using relevant scales. We optimize the neurofeedback rehabilitation intervention system based on surface EMG, study the objective assessment of neurofeedback rehabilitation intervention of surface EMG, and initially try to apply mirror therapy to the treatment of surface EMG. According to the different treatment methods, they were divided into the drug-only group, drug combined with electroacupuncture group, drug combined with facial muscle function training group, and drug combined with electroacupuncture combined with facial muscle function training group. Starting from the 10th day of the disease course, a course of 15 days contains three courses of treatment with a 3-day break for each course. Patients were tested on day 10, day 25, and day 40 of the disease course and the results of each test were recorded and analyzed. The results of each test were recorded and analyzed. The efficacy of four different methods for simple neurofeedback rehabilitation was compared according to the mean ratio of the root mean square of the patient’s affected and healthy sides. The close relationship between surface EMG neurofeedback rehabilitation intervention and rehabilitation efficacy was also investigated, and the effect of different feedback modes on neurofeedback rehabilitation intervention was explored for the neurofeedback protocol and whether the use of the optimized neurorehabilitation protocol could achieve improved efficacy and have a sustained effect. The study showed that neurofeedback training interventions based on optimized surface EMG can achieve good long-term results, as demonstrated by improved postural control, balance, and motor function of patients; optimized neurofeedback rehabilitation intervention systems; and guiding physicians or nurses to work more effective clinically.http://dx.doi.org/10.1155/2021/5546716 |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Wenlin Sun Yujun Qi Yang Sun Tiantian Zhao Xiaoyong Su Yang Liu |
spellingShingle |
Wenlin Sun Yujun Qi Yang Sun Tiantian Zhao Xiaoyong Su Yang Liu Optimization of Surface Electromyography-Based Neurofeedback Rehabilitation Intervention System Journal of Healthcare Engineering |
author_facet |
Wenlin Sun Yujun Qi Yang Sun Tiantian Zhao Xiaoyong Su Yang Liu |
author_sort |
Wenlin Sun |
title |
Optimization of Surface Electromyography-Based Neurofeedback Rehabilitation Intervention System |
title_short |
Optimization of Surface Electromyography-Based Neurofeedback Rehabilitation Intervention System |
title_full |
Optimization of Surface Electromyography-Based Neurofeedback Rehabilitation Intervention System |
title_fullStr |
Optimization of Surface Electromyography-Based Neurofeedback Rehabilitation Intervention System |
title_full_unstemmed |
Optimization of Surface Electromyography-Based Neurofeedback Rehabilitation Intervention System |
title_sort |
optimization of surface electromyography-based neurofeedback rehabilitation intervention system |
publisher |
Hindawi Limited |
series |
Journal of Healthcare Engineering |
issn |
2040-2309 |
publishDate |
2021-01-01 |
description |
In this paper, we study the effects of the neurofeedback method of surface EMG on electrophysiology and evaluate its effects on postural control, balance, and motor function using relevant scales. We optimize the neurofeedback rehabilitation intervention system based on surface EMG, study the objective assessment of neurofeedback rehabilitation intervention of surface EMG, and initially try to apply mirror therapy to the treatment of surface EMG. According to the different treatment methods, they were divided into the drug-only group, drug combined with electroacupuncture group, drug combined with facial muscle function training group, and drug combined with electroacupuncture combined with facial muscle function training group. Starting from the 10th day of the disease course, a course of 15 days contains three courses of treatment with a 3-day break for each course. Patients were tested on day 10, day 25, and day 40 of the disease course and the results of each test were recorded and analyzed. The results of each test were recorded and analyzed. The efficacy of four different methods for simple neurofeedback rehabilitation was compared according to the mean ratio of the root mean square of the patient’s affected and healthy sides. The close relationship between surface EMG neurofeedback rehabilitation intervention and rehabilitation efficacy was also investigated, and the effect of different feedback modes on neurofeedback rehabilitation intervention was explored for the neurofeedback protocol and whether the use of the optimized neurorehabilitation protocol could achieve improved efficacy and have a sustained effect. The study showed that neurofeedback training interventions based on optimized surface EMG can achieve good long-term results, as demonstrated by improved postural control, balance, and motor function of patients; optimized neurofeedback rehabilitation intervention systems; and guiding physicians or nurses to work more effective clinically. |
url |
http://dx.doi.org/10.1155/2021/5546716 |
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