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PROVAZNÍK, I. HOLČÍK, J.
Original Title
Adaptive recurrent system for noise cancellation and arrhythmia detection
Type
conference paper
Language
English
Original Abstract
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.
Keywords
adaptive filter, ECG signal, arrhythmias
Authors
PROVAZNÍK, I.; HOLČÍK, J.
RIV year
2004
Released
1. 10. 1994
Publisher
IEEE
Location
Baltimore
Pages from
1270
Pages to
1271
Pages count
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" }