NDLI: Noise effect analysis in the non-invasive organization estimation of atrial fibrillation

Content Provider	IEEE Xplore Digital Library
Author	Alcaraz, R. Rieta, J.J. Martinez, A.
Copyright Year	2009
Description	Author affiliation: Innovation in Bioengineering Research Group. University of Castilla-La Mancha, Cuenca, Spain (Alcaraz, R.; Martinez, A.) \|\| Biomedical Synergy, Electronic Engineering Dept., Universidad Politécnica de Valencia, Spain (Rieta, J.J.)
Abstract	In recent studies, Sample Entropy (SampEn) has demonstrated that can be a very promising non-linear index to assess atrial fibrillation (AF) organization from surface ECG recordings. However, non-linear regularity metrics are notably sensitive to noise. Thereby, in the present work, the effect that noise provokes in the SampEn-based organization estimation is analyzed. Given that AF organization was estimated by computing SampEn over the atrial activity (AA) signal, to evaluate the noise impact on AA regularity, 25 synthetic signals with different organization degrees were generated following a published model. Noise coming from real ECG recordings with different energy levels was added to the synthesized AA signals to obtain different signal to noise ratios (SNR). Results showed that SampEn, i.e., the AA irregularity, increased with noise, thus hiding the differences between organized and disorganized recordings. Precisely, in the presence of noise, SampEn values were increased, in average, by factors of 1.64, 4.46, 9.46 and 14.23 for SNRs of 24, 15, 9 and 3 dB, respectively. As a conclusion, a proper AF organization evaluation via SampEn requires noise reduction in the AA signal.
Starting Page	805
Ending Page	808
File Size	286840
Page Count	4
File Format	PDF
ISBN	9781424472819
ISSN	02766547
e-ISBN	9781424472826
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2009-09-13
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Computers in Cardiology(CinC)
Subject Keyword	Atrial fibrillation Signal to noise ratio Electrocardiography Entropy Noise generators Signal generators Noise level Energy states Signal synthesis Noise reduction
Content Type	Text
Resource Type	Article

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4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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