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 :
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