An exoskeleton upper limb rehabilitation robot based on electroencephalography

被引：1

作者：

Wang, Jianbin ^{[1
]}

机构：

[1] School of Mechanical & Automobile Engineering, Qingdao University of Technology, No. 777 Jialingjiang Road, Qingdao

来源：

MCB Molecular and Cellular Biomechanics | 2024年 / 21卷

关键词：

EEG control; exoskeleton robot; rehabilitation robot; upper limb;

D O I：

10.62617/mcb.v21.77

中图分类号：

学科分类号：

摘要：

Today, stroke patients have varying degrees of motor impairment after surgery. An Electroencephalography (EEG) signal is a potential change recorded on the scalp of a human or animal, which can be combined with a rehabilitation robot to help patients complete rehabilitation movements. In this paper, a new exoskeleton-type 6-DOF upper limb rehabilitation robot is designed based on EEG control. The wavelet denoising method based on Gaussian mixture model (GMM) is used for signal pre-processing. The wavelet packet decomposition method is used to extract feature vectors, and the feature performance index based on Mahalanobis distance and Babanobis distance is introduced to test the accuracy of Feature Performance Index (FPI) relativity. The random forest classifier was used to classify and recognize the EEG characteristics and obtain the motion intention of patients. The experimental research shows that the EEG signal processing method proposed in this paper has significant effect, and the upper limb rehabilitation robot based on EEG signal has feasibility. The whole system can significantly improve the patient’s rehabilitation enthusiasm. Copyright © 2024 by author(s)

引用

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