dc.creatorLoja, J
dc.creatorAstudillo Salinas, Darwin Fabián
dc.creatorMedina Molina, Ruben
dc.creatorPalacio Baus, Kenneth Samuel
dc.creatorVelecela, E
dc.creatorWong De Balzan, Sara
dc.date2018-01-11T16:47:53Z
dc.date2018-01-11T16:47:53Z
dc.date2015-11-17
dc.dateinfo:eu-repo/date/embargoEnd/2022-01-01 0:00
dc.date.accessioned2018-03-14T20:32:47Z
dc.date.available2018-03-14T20:32:47Z
dc.identifier9781628419160
dc.identifier0277786X
dc.identifierhttps://www.scopus.com/inward/record.uri?eid=2-s2.0-84958212037&doi=10.1117%2f12.2214359&partnerID=40&md5=69c588e739c9bd2cc8fe23c39b39ad3a
dc.identifierhttp://dspace.ucuenca.edu.ec/handle/123456789/29264
dc.identifier10.1117/12.2214359
dc.identifier.urihttp://repositorioslatinoamericanos.uchile.cl/handle/2250/1136166
dc.descriptionThis 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.
dc.descriptionEcuador
dc.languageen_US
dc.publisherSPIE
dc.rightsinfo:eu-repo/semantics/openAccess
dc.rightshttp://creativecommons.org/licenses/by-nc-sa/3.0/ec/
dc.sourceinstname:Universidad de Cuenca
dc.sourcereponame:Repositorio Digital de la Universidad de Cuenca
dc.sourceProceedings of SPIE - The International Society for Optical Engineering
dc.subjectdecision fusion
dc.subjectnon-invasive fetal ECG
dc.subjectPhysionet challenge
dc.titleCinC Challenge 2013: Comparing three algorithms to extract fetal ECG
dc.typeArtículos de revistas


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