Real-Time Estimation Of ECG Signal Quality

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Date
2017
ORCID
Advisor
Referee
Mark
Journal Title
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Volume Title
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Vysoké učení technické v Brně, Fakulta elektrotechniky a komunikačních technologií
Abstract
In this study, we focus on the estimation of ECG signal quality. It consists of two parts, first includes generating artificial ECG, artificial myopotentials, implementation of Adaptive Wavelet Wiener Filter and continuous calculation of the Signal-to-Noise Ratio (SNR). The second part includes segmentation process, which sorts parts of ECG signal into three categories: suitable for full wave analysis, good for QRS detection and unsuitable for further processing.
Description
Citation
Proceedings of the 23st Conference STUDENT EEICT 2017. s. 124-126. ISBN 978-80-214-5496-5
http://www.feec.vutbr.cz/EEICT/
Document type
Peer-reviewed
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en
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Defence
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© Vysoké učení technické v Brně, Fakulta elektrotechniky a komunikačních technologií
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