Real-Time Estimation Of ECG Signal Quality
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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.
KeywordsECG signal, noise estimation, ECG quality, Adaptive Wavelet Wiener Filter, ECG segmentation
Document typePeer reviewed
Document versionFinal PDF
SourceProceedings of the 23st Conference STUDENT EEICT 2017. s. 124-126. ISBN 978-80-214-5496-5
- Student EEICT 2017