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Proceedings Paper

CinC Challenge 2013: comparing three algorithms to extract fetal ECG
Author(s): Juan Loja; Esteban Velecela; Kenneth Palacio-Baus; Darwin Astudillo; Rubén Medina; Sara Wong
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Paper 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 td increase.

Paper Details

Date Published: 22 December 2015
PDF: 8 pages
Proc. SPIE 9681, 11th International Symposium on Medical Information Processing and Analysis, 968117 (22 December 2015); doi: 10.1117/12.2214359
Show Author Affiliations
Juan Loja, Univ. de Cuenca (Ecuador)
Esteban Velecela, Univ. de Cuenca (Ecuador)
Kenneth Palacio-Baus, Univ. de Cuenca (Ecuador)
Darwin Astudillo, Univ. de Cuenca (Ecuador)
Rubén Medina, Univ. de Cuenca (Ecuador)
Sara Wong, Univ. de Cuenca (Ecuador)


Published in SPIE Proceedings Vol. 9681:
11th International Symposium on Medical Information Processing and Analysis
Eduardo Romero; Natasha Lepore; Juan D. García-Arteaga; Jorge Brieva, Editor(s)

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