Publication detail

PATTERN RECOGNITION IN SURFACE ELECTROMYOGRAPHY

CHALUPA, D. SMITAL, L.

Original Title

PATTERN RECOGNITION IN SURFACE ELECTROMYOGRAPHY

English Title

PATTERN RECOGNITION IN SURFACE ELECTROMYOGRAPHY

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

EMG, pattern, recognition, Fourier, Teager-Kaiser

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/"
}