Publication detail

A new filtering method for smoothing intracardiac records preserving the steepness of A, V, H waves

JANOUŠEK, O. HEJČ, J. POSPÍŠIL, D.

Original Title

A new filtering method for smoothing intracardiac records preserving the steepness of A, V, H waves

Type

conference paper

Language

English

Original Abstract

A new data-driven filtering method based on masked empirical mode decomposition and non-linear normalization of noise in separate spectral bands is introduced here. Its preserves the steepness of rapidly changing sections of intracardial electrograms (such as A, V, and H waves) and surface electrocardiogram (such as QRS complex) and at the same time smooths the rest of the recording. Data-driven filtering method efficiency and ability not to change morphology of surface electrocardiogram and intracardial electrograms was proved on clinical records dataset.

Keywords

ecg

Authors

JANOUŠEK, O.; HEJČ, J.; POSPÍŠIL, D.

Released

22. 11. 2022

Publisher

Computing in Cardiology 2022

Location

Tampere

ISBN

2325-887X

Periodical

Computing in Cardiology

State

United States of America

Pages from

1

Pages to

4

Pages count

4

BibTex

@inproceedings{BUT180070,
  author="Oto {Janoušek} and Jakub {Hejč} and David {Pospíšil}",
  title="A new filtering method for smoothing intracardiac records preserving the steepness of A, V, H waves",
  booktitle="Computing in Cardiology 2022",
  year="2022",
  journal="Computing in Cardiology",
  pages="4",
  publisher="Computing in Cardiology 2022",
  address="Tampere",
  issn="2325-887X"
}