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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
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" }