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Stationary Wavelet-based Two-directional Two-dimensional Principal Component Analysis for EMG Signal Classification Cover

Stationary Wavelet-based Two-directional Two-dimensional Principal Component Analysis for EMG Signal Classification

Measurement Science Review
Volume 17 (2017): Issue 3 (June 2017)
By: Yi Ji,  Shanlin Sun and  Hong-Bo Xie  
Open Access
|Jun 2017

Authors

Yi Ji

School of Electrical & Information Engineering, Jiangsu University, Zhenjiang, China

Shanlin Sun

School of Instrumentation Science & Opto-Electronics Engineering, Beihang University, Beijing, China

Hong-Bo Xie

hongbo.xie@qut.edu.au

ARC Centre of Excellence for Mathematical & Statistical Frontiers, Queensland University of Technology, Brisbane, Australia
DOI: https://doi.org/10.1515/msr-2017-0015 | Journal eISSN: 1335-8871
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Language: English
Page range: 117 - 124
Submitted on: Dec 17, 2016
|
Accepted on: May 15, 2017
|
Published on: Jun 15, 2017
Published by: Slovak Academy of Sciences, Institute of Measurement Science
In partnership with: Paradigm Publishing Services
Publication frequency: Volume open
Keywords:
Wavelet transform,
principal component analysis,
feature extraction,
pattern classification,
electromyographic signal
Related subjects:
Engineering,
Electrical engineering,
Control engineering, metrology and testing

© 2017 Yi Ji, Shanlin Sun, Hong-Bo Xie, published by Slovak Academy of Sciences, Institute of Measurement Science
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.

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