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PROVAZNÍK, I. HOLČÍK, J.
Originální název
Adaptive recurrent system for noise cancellation and arrhythmia detection
Typ
článek ve sborníku ve WoS nebo Scopus
Jazyk
angličtina
Originální abstrakt
A new LMS-based adaptive filter for preprocessing and analysis of ECG signals recorded under conditions of stress-tests is introduced. The adaptive filter was developed to cancel motion artifacts and myopotentials and to detect diagnostically significant waves in the ECG signal, e.g. arrhythmias. The new filter exploits a repetitivity of the ECG signal for optimal removing of the nonstationary noise. It uses a vector-variable-step-size LMS algorithm to adjust filter weights according to the nonstationary properties of the processed signal. The developed system was tested on real signals and on the CSE signal library, and the results are described.
Klíčová slova
adaptive filter, ECG signal, arrhythmias
Autoři
PROVAZNÍK, I.; HOLČÍK, J.
Rok RIV
2004
Vydáno
1. 10. 1994
Nakladatel
IEEE
Místo
Baltimore
Strany od
1270
Strany do
1271
Strany počet
2
BibTex
@inproceedings{BUT11303, author="Valentine {Provazník} and Jiří {Holčík}", title="Adaptive recurrent system for noise cancellation and arrhythmia detection", booktitle="Proceedings of the 16th Annual International Conference of the IEEE EMBS", year="1994", pages="1270--1271", publisher="IEEE", address="Baltimore" }