A novel approach for SEMG signal classification with adaptive local binary patterns-Reference-Cited by-同舟云学术

A novel approach for SEMG signal classification with adaptive local binary patterns

Published:2015-12-31 Issue:7 Volume:54 Page:1137-1146
ISSN:0140-0118
Container-title:Medical & Biological Engineering & Computing
language:en
Short-container-title:Med Biol Eng Comput

Author:

Ertuğrul Ömer Faruk,Kaya Yılmaz,Tekin Ramazan

Publisher

Springer Science and Business Media LLC

Subject

Computer Science Applications,Biomedical Engineering

Link

http://link.springer.com/content/pdf/10.1007/s11517-015-1443-z.pdf

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