@inproceedings{9689875bcdb342d9b050ebc3ee96b46a,
title = "CinC Challenge 2013: Comparing three algorithms to extract fetal ECG",
abstract = "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.",
keywords = "decision fusion, non-invasive fetal ECG, Physionet challenge",
author = "Juan Loja and Esteban Velecela and Kenneth Palacio-Baus and Darwin Astudillo and Rub{\'e}n Medina and Sara Wong",
note = "Publisher Copyright: {\textcopyright} 2015 SPIE.; 11th International Symposium on Medical Information Processing and Analysis, SIPAIM 2015 ; Conference date: 17-11-2015 Through 19-11-2015",
year = "2015",
doi = "10.1117/12.2214359",
language = "Ingl{\'e}s",
series = "Proceedings of SPIE - The International Society for Optical Engineering",
publisher = "SPIE",
editor = "Garcia-Arteaga, \{Juan D.\} and Jorge Brieva and Natasha Lepore and Eduardo Romero",
booktitle = "11th International Symposium on Medical Information Processing and Analysis",
}