DocumentCode
2776890
Title
Surface EMG signals determinism analysis based on recurrence plot for hand grasps
Author
Gaoxiang Ouyang ; Zhaojie Ju ; Honghai Liu
Author_Institution
Intell. Syst. & Biomed. Robot. Group, Univ. of Portsmouth, Portsmouth, UK
fYear
2012
fDate
10-15 June 2012
Firstpage
1
Lastpage
6
Abstract
This paper proposes determinism measure (DET) based on recurrence plot, which is capable of showing the recurrence property of a deterministic dynamical system, to evaluate the dynamical characteristics of the surface electromyogram (sEMG) during three different hand movements. In addition, the linear discriminant analysis (LDA) is applied to evaluate the performance of the above measures to identify these three hand grasp movements. The experimental result shows that the recognition rate, 96.7%, based on the combination of the linear and non-linear measures is much higher than that with only linear measures, and DET might be a potential tool to reveal the sEMG hidden characteristics of hand grasp movements.
Keywords
electromyography; medical signal processing; EMG signals determinism analysis; determinism measure; deterministic dynamical system; dynamical characteristics; hand grasps; hand movements; linear discriminant analysis; nonlinear measures; recurrence plot; surface electromyogram; Data mining; Electrodes; Electromyography; Feature extraction; Muscles; Space vehicles; Trajectory; Determinsm; hand grasp; recurrence plot (RP); surface electromyogram (sEMG);
fLanguage
English
Publisher
ieee
Conference_Titel
Neural Networks (IJCNN), The 2012 International Joint Conference on
Conference_Location
Brisbane, QLD
ISSN
2161-4393
Print_ISBN
978-1-4673-1488-6
Electronic_ISBN
2161-4393
Type
conf
DOI
10.1109/IJCNN.2012.6252750
Filename
6252750
Link To Document