Article
CinC Challenge 2013: Comparing three algorithms to extract fetal ECG
Fecha
2015-11-17Registro en:
9781628419160
0277786X
10.1117/12.2214359
Autor
Loja, J
Astudillo Salinas, Darwin Fabián
Medina Molina, Ruben
Palacio Baus, Kenneth Samuel
Velecela, E
Wong De Balzan, Sara
Institución
Resumen
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.