Detail publikačního výsledku

Real-time estimation of ECG signal quality

BEHÁŇOVÁ, A.

Originální název

Real-time estimation of ECG signal quality

Anglický název

Real-time estimation of ECG signal quality

Druh

Stať ve sborníku v databázi WoS či Scopus

Originální abstrakt

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.

Anglický abstrakt

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.

Klíčová slova

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

Klíčová slova v angličtině

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

Autoři

BEHÁŇOVÁ, A.

Rok RIV

2018

Vydáno

27.04.2017

Nakladatel

Vysoké učení technické, Fakulta elektrotechniky a komunikačních technologií

Místo

Brno

ISBN

978-80-214-5496-5

Kniha

Proceedings of the 23rd Conference STUDENT EEICT 2017

Strany od

124

Strany do

126

Strany počet

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"
}