Publication detail

Real-time estimation of ECG signal quality

BEHÁŇOVÁ, A.

Original Title

Real-time estimation of ECG signal quality

Type

conference paper

Language

English

Original Abstract

In this study, we focus on the estimation of ECG signal quality. It consists of two parts, first includes generating artificial ECG, artificial myopotentials, implementation of Adaptive Wavelet Wiener Filter and continuous calculation of the Signal-to-Noise Ratio (SNR). The second part includes segmentation process, which sorts parts of ECG signal into three categories: suitable for full wave analysis, good for QRS detection and unsuitable for further processing.

Keywords

ECG signal, noise estimation, ECG quality, Adaptive Wavelet Wiener Filter, ECG segmentation

Authors

BEHÁŇOVÁ, A.

Released

27. 4. 2017

Publisher

Vysoké učení technické, Fakulta elektrotechniky a komunikačních technologií

Location

Brno

ISBN

978-80-214-5496-5

Book

Proceedings of the 23rd Conference STUDENT EEICT 2017

Edition number

1

Pages from

124

Pages to

126

Pages count

3

URL

http://eeict.feec.vutbr.cz/2017/sbornik/EEICT_2017-sbornik-komplet-2.pdf

BibTex

@inproceedings{BUT136460,
  author="Andrea {Beháňová}",
  title="Real-time estimation of ECG signal quality",
  booktitle="Proceedings of the 23rd Conference STUDENT EEICT 2017",
  year="2017",
  number="1",
  pages="124--126",
  publisher="Vysoké učení technické, Fakulta elektrotechniky a komunikačních technologií",
  address="Brno",
  isbn="978-80-214-5496-5",
  url="http://eeict.feec.vutbr.cz/2017/sbornik/EEICT_2017-sbornik-komplet-2.pdf"
}