Detail publikace

REAL TIME EMG DETECTION IN THERAPEUTIC GAME

VESELÁ, C.

Originální název

REAL TIME EMG DETECTION IN THERAPEUTIC GAME

Typ

článek ve sborníku ve WoS nebo Scopus

Jazyk

angličtina

Originální abstrakt

This article focuses on real-time detection of activity in electromyographical signal. The study is based on controlling the therapeutic game through the muscle activity, called myofeedback. Many different algorithms can be used to detect EMG signal. Nowadays there is rapid development of artificial intelligence not only in biomedical engineering. In this paper there is implemented convolutional neural network for signal segmentation with accuracy 97,13%.

Klíčová slova

EMG; UNET; game; signal; biofeedback

Autoři

VESELÁ, C.

Vydáno

1. 6. 2020

Nakladatel

Brno University of Technology, Faculty of Electrical Engineering and

Místo

Brno, Czech Republic

ISBN

978-80-214-5868-0

Kniha

Proceedings II of the 26th Conference STUDENT EEICT 2020

Edice

1

Strany od

68

Strany do

71

Strany počet

4

URL

https://www.eeict.cz/eeict_download/archiv/sborniky/EEICT_2020_sbornik_2.pdf

BibTex

@inproceedings{BUT177100,
  author="Cindy {Veselá}",
  title="REAL TIME EMG DETECTION IN THERAPEUTIC GAME",
  booktitle="Proceedings II of the 26th Conference STUDENT EEICT 2020",
  year="2020",
  series="1",
  pages="68--71",
  publisher="Brno University of Technology, Faculty of Electrical Engineering and",
  address="Brno, Czech Republic",
  isbn="978-80-214-5868-0",
  url="https://www.eeict.cz/eeict_download/archiv/sborniky/EEICT_2020_sbornik_2.pdf"
}