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"
}