Estimation of Continuous Joint Angles of Upper Limb Based on sEMG by Using GA-Elman Neural Network
Joint Authors
Cao, Jiuwen
Xi, Xugang
Wang, Junhong
Hao, Qiqi
Xue, Anke
Wang, Huijiao
Source
Mathematical Problems in Engineering
Issue
Vol. 2020, Issue 2020 (31 Dec. 2020), pp.1-11, 11 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2020-07-13
Country of Publication
Egypt
No. of Pages
11
Main Subjects
Abstract EN
The estimation of continuous and simultaneous multijoint angle based on surface electromyography (sEMG) signal is of considerable significance in rehabilitation practice.
However, there are few studies on the continuous joint angle of multiple joints at present.
In this paper, the wavelet packet energy entropy (WPEE) of the special subspace was investigated as a feature of the sEMG signal.
An Elman neural network optimized by genetic algorithm (GA) was established to estimate the joint angle of shoulder and elbow.
First, the accuracy of the method is verified by estimating the angle of the shoulder joint.
Then, this method was used to simultaneously and continuously estimate the shoulder and elbow joint angle.
Six subjects flexed and extended the upper limbs according to the intended movements of the experiment.
The results show that this method can obtain a decent performance with a RMSE of 3.4717 and R2 of 0.8283 in shoulder movement and with a RMSE of 4.1582 and R2 of 0.8114 in continuous synchronous movement of the shoulder and elbow.
American Psychological Association (APA)
Wang, Junhong& Hao, Qiqi& Xi, Xugang& Cao, Jiuwen& Xue, Anke& Wang, Huijiao. 2020. Estimation of Continuous Joint Angles of Upper Limb Based on sEMG by Using GA-Elman Neural Network. Mathematical Problems in Engineering،Vol. 2020, no. 2020, pp.1-11.
https://search.emarefa.net/detail/BIM-1194924
Modern Language Association (MLA)
Wang, Junhong…[et al.]. Estimation of Continuous Joint Angles of Upper Limb Based on sEMG by Using GA-Elman Neural Network. Mathematical Problems in Engineering No. 2020 (2020), pp.1-11.
https://search.emarefa.net/detail/BIM-1194924
American Medical Association (AMA)
Wang, Junhong& Hao, Qiqi& Xi, Xugang& Cao, Jiuwen& Xue, Anke& Wang, Huijiao. Estimation of Continuous Joint Angles of Upper Limb Based on sEMG by Using GA-Elman Neural Network. Mathematical Problems in Engineering. 2020. Vol. 2020, no. 2020, pp.1-11.
https://search.emarefa.net/detail/BIM-1194924
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1194924