Denoising of HD-sEMG signals using canonical correlation analysis-Reference-Cited by-同舟云学术

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Denoising of HD-sEMG signals using canonical correlation analysis

Published:2016-05-25 Issue:3 Volume:55 Page:375-388
ISSN:0140-0118
Container-title:Medical & Biological Engineering & Computing
language:en
Short-container-title:Med Biol Eng Comput

Author:

Al Harrach M.,Boudaoud S.,Hassan M.,Ayachi F. S.,Gamet D.,Grosset J. F.,Marin F.

Publisher

Springer Science and Business Media LLC

Subject

Computer Science Applications,Biomedical Engineering

Link

http://link.springer.com/content/pdf/10.1007/s11517-016-1521-x.pdf

Reference28 articles.

1. Agante PM, de Sa J (1999) ECG noise filtering using wavelets with soft-thresholding methods. Comput Cardiol 1999:353–358

2. Al Harrach M, Boudaoud S, Gamet D, Grosset J, Marin F (2014) Evaluation of hd-semg probability density function deformations in ramp exercise. In: Engineering in medicine and biology society (EMBC), 2014 36th annual international conference of the IEEE, pp 2209–2212. IEEE

3. Allouch S, Al Harrach M, Boudaoud S, Laforet J, Ayachi F, Younes R (2013) Muscle force estimation using data fusion from high-density semg grid. In: 2013 2nd International conference on advances in biomedical engineering (ICABME), pp 195–198. IEEE

4. Aschero G, Gizdulich P (2010) Denoising of surface EMG with a modified wiener filtering approach. J Electromyogr Kinesiol 20:366–373

5. Ayachi F, Boudaoud S, Marque C (2014) Evaluation of muscle force classification using shape analysis of the sEMG probability density function: a simulation study. Med Biol Eng Comput 52(8):673–684

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