Publication detail

REAL TIME EMG DETECTION IN THERAPEUTIC GAME

VESELÁ, C.

Original Title

REAL TIME EMG DETECTION IN THERAPEUTIC GAME

Type

conference paper

Language

English

Original Abstract

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%.

Keywords

EMG; UNET; game; signal; biofeedback

Authors

VESELÁ, C.

Released

1. 6. 2020

Publisher

Brno University of Technology, Faculty of Electrical Engineering and

Location

Brno, Czech Republic

ISBN

978-80-214-5868-0

Book

Proceedings II of the 26th Conference STUDENT EEICT 2020

Edition

1

Pages from

68

Pages to

71

Pages count

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"
}