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CHALUPA, D. SMITAL, L.
Original Title
PATTERN RECOGNITION IN SURFACE ELECTROMYOGRAPHY
English Title
Type
conference paper
Language
Czech
Original Abstract
In this paper, a method is proposed to differentiate patterns in one-channel surface electromyography. This particular method uses an example signal containing all relevant patterns to learn spectral coefficients. These coefficients are used to analyze unknown signals. An example of finger recognition algorithm based on a signal from forearm muscles is shown and discussed.
English abstract
In this paper, a method is proposed that differentiate patterns in one-channel surface electromyography. This particular method uses an example signal containing all relevant patterns to learn spectral coefficients. These coefficients are used to analyze unknown signals. An example of finger recognition algorithm based on a signal from forearm muscles is shown and discussed.
Keywords
EMG, pattern, recognition, Fourier, Teager-Kaiser
Key words in English
Authors
CHALUPA, D.; SMITAL, L.
RIV year
2015
Released
23. 4. 2015
Location
Brno
ISBN
978-80-214-5148-3
Book
Proceedings of the 21st Conference STUDENT EEICT 2015
Pages from
68
Pages to
70
Pages count
3
URL
http://eeict.feec.vutbr.cz/
BibTex
@inproceedings{BUT131686, author="Daniel {Chalupa} and Lukáš {Smital}", title="PATTERN RECOGNITION IN SURFACE ELECTROMYOGRAPHY", booktitle="Proceedings of the 21st Conference STUDENT EEICT 2015", year="2015", pages="68--70", address="Brno", isbn="978-80-214-5148-3", url="http://eeict.feec.vutbr.cz/" }