Classification of the Systems Used in Surface Electromyographic Signal Detection according to the Degree of Isotropy-Reference-Cited by-同舟云学术

Classification of the Systems Used in Surface Electromyographic Signal Detection according to the Degree of Isotropy

Published:2018 Issue:0 Volume:7 Page:107-116
ISSN:2187-5219
Container-title:Advanced Biomedical Engineering
language:en
Short-container-title:ABE

Author:

Messaoudi Noureddine¹²,Bekka Raïs El’hadi²,Belkacem Samia¹

Affiliation:

1. Department of Engineering of Electrical Systems, Faculty of Engineering Sciences, Université de Boumerdès

2. Department of Electronics, LIS Laboratory, Faculty of Technology, Université de Sétif 1

Publisher

Japanese Society for Medical and Biological Engineering

Subject

Computer Science Applications,Computer Vision and Pattern Recognition,Biomedical Engineering,Biomaterials,Biotechnology

Link

https://www.jstage.jst.go.jp/article/abe/7/0/7_7_107/_pdf

Reference33 articles.

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2. 2. Farina D, Merletti R, Enoka RM: The extraction of neural strategies from the surface EMG. J Appl Physiol. 96(4), pp. 1486–1495, 2004.

3. 3. Mesin L, Merletti R, Rainoldi A: Surface EMG: the issue of electrode location. J Electromyogr Kinesiol. 19(5), pp. 719–726, 2009.

4. 4. De la Barrera EJ, Milner TE: The effects of skinfold thickness on the selectivity of surface EMG. Electroencephalogr. Clinic Neurophysiol. 93(2), pp. 91–99, 1994.

5. 5. Ng JK, Kippers V, Richardson CA: Muscle fibre orientation of abdominal muscles and suggested surface EMG electrode positions. Electroencephalogr. Clinic Neurophysiol. 38(1), pp. 51–58, 1998.

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