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 pbkp_redictive 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.

Año de publicación:

2015

Keywords:

  • Physionet challenge
  • non-invasive fetal ECG
  • decision fusion

Fuente:

scopusscopus
rraaerraae

Tipo de documento:

Conference Object

Estado:

Acceso restringido

Áreas de conocimiento:

  • Algoritmo
  • Obstetricia

Áreas temáticas:

  • Ciencias de la computación
  • Miscelánea filosófica
  • Enfermedades