Wavelet analysis of ECG signals

En Bing Lin; Megan Haske; Marilyn Smith; Darren Sowards

doi:10.1007/978-1-4614-4145-8_10

Wavelet analysis of ECG signals

En Bing Lin, Megan Haske, Marilyn Smith, Darren Sowards

Mathematics

Research output: Chapter in Book/Report/Conference proceeding › Chapter › peer-review

4 Scopus citations

Abstract

This study evaluated the effectiveness of different types of wavelets and thresholds to process electrocardiograms. An electrocardiogram, or ECG, shows the electrical activity in the heart and can be used to detect abnormalities. The first process used term-by-term thresholding to denoise ECGs. The second process denoised and compressed ECGs using global thresholding. The effectiveness was determined by using the signal-to-noise ratio (SNR) and the percentage root mean square difference (PRD).

Original language	English
Title of host publication	Multiscale Signal Analysis and Modeling
Publisher	Springer New York
Pages	233-255
Number of pages	23
Volume	9781461441458
ISBN (Electronic)	9781461441458
ISBN (Print)	1461441447, 9781461441441
DOIs	https://doi.org/10.1007/978-1-4614-4145-8_10
State	Published - May 1 2013

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Wavelet analysis of ECG signals

Abstract

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