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Title: CinC Challenge 2013: Comparing three algorithms to extract fetal ECG
Authors: Loja, J
Astudillo Salinas, Darwin Fabián
Medina Molina, Ruben
Palacio Baus, Kenneth Samuel
Velecela, E
Wong De Balzan, Sara
metadata.dc.ucuenca.nombrerevista: 11th International Symposium on Medical Information Processing and Analysis SIPAIM 2015
Keywords: Decision Fusion
Non-Invasive Fetal Ecg
Physionet Challenge
Issue Date: 17-Nov-2015
metadata.dc.ucuenca.embargoend: 1-Jan-2022
metadata.dc.ucuenca.volumen: 9681
metadata.dc.source: Proceedings of SPIE - The International Society for Optical Engineering
metadata.dc.identifier.doi: 10.1117/12.2214359
Publisher: SPIE
metadata.dc.type: Article
This paper reports a comparison between three fetal ECG (fECG) detectors developed during the CinC 2013 challenge for fECG detection. Algorithm A1 is based on Independent Component Analysis, A2 is based on fECG detection of RS Slope and A3 is based on Expectation-Weighted Estimation of Fiducial Points. The proposed methodology was validated using the annotated database available for the challenge. Each detector was characterized in terms of its performance by using measures of sensitivity, (Se), positive predictive value (P+) and delay time (td). Additionally, the database was contaminated with white noise for two SNR conditions. Decision fusion was tested considering the most common types of combination of detectors. Results show that the decision fusion of A1 and A2 improves fQRS detection, maintaining high Se and P+ even under low SNR conditions without a significant tdincrease.
URI: https://www.scopus.com/inward/record.uri?eid=2-s2.0-84958212037&doi=10.1117%2f12.2214359&partnerID=40&md5=69c588e739c9bd2cc8fe23c39b39ad3a
ISBN: 9781628419160
ISSN: 0277786X
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