Title :
Performance comparison of four ICA algorithms applied for fECG extraction from transabdominal recordings
Author :
Taralunga, Dragos ; Ungureanu, Mihaela ; Strungaru, Rodica ; Wolf, Werner
Author_Institution :
Appl. Electron. & Inf. Eng. Dept., Politeh. Univ. of Bucharest, Bucharest, Romania
fDate :
June 30 2011-July 1 2011
Abstract :
Fetal ECG (fECG) signal offers valuable information about the health state of the fetus during pregnancy that can assist physicians taking timely the appropriate decisions during pregnancy and labor. Thus, the FECG signal extraction from composite abdominal signals (ADS) by powerful and advance signal processing methods is becoming more and more an important requirement for fetal monitoring. This paper presents the evaluation of four Independent Component Analysis (ICA) algorithms, when used for fECG extraction, and their performance comparison when considering the application of the Event Synchronous Canceller (ESC) as a preprocessing step that cancel the maternal ECG (mECG). The algorithms are evaluated when considering two data sets of simulated ADS.
Keywords :
electrocardiography; independent component analysis; medical signal processing; ICA algorithms; advance signal processing methods; composite abdominal signals; event synchronous canceller; fetal ECG signal extraction; independent component analysis algorithms; maternal ECG; transabdominal recordings; Algorithm design and analysis; Data mining; Electrocardiography; Fetal heart rate; Integrated circuits; Morphology; Noise;
Conference_Titel :
Signals, Circuits and Systems (ISSCS), 2011 10th International Symposium on
Conference_Location :
lasi
Print_ISBN :
978-1-61284-944-7
DOI :
10.1109/ISSCS.2011.5978768
