Title :
Foetal PQRST extraction from ECG recordings using cyclostationarity-based source separation method
Author :
Haritopoulos, Michel ; Capdessus, Cécile ; Nandi, Asoke K.
Author_Institution :
Inst. PRISME, Chartres, France
fDate :
Aug. 31 2010-Sept. 4 2010
Abstract :
This work proposes a novel foetal electrocardiogram (FECG) extraction approach based on the cyclostationary properties of the signal of interest. The problem of FECG extraction can easily fit in a blind source separation (BSS) framework; taking into account specific statistical nature of the signal, that one wants to extract, leads to an algorithm able to estimate the FECG contribution to ECG recordings where the maternal ECG is predominant. We show that the proposed procedure provides estimates of the FECGs PQRST complexes without incorporating any prior knowledge concerning PQRST features. Discussions about foetal heart rate variability (HRV) estimation and future works conclude this paper.
Keywords :
biological organs; blind source separation; electrocardiography; feature extraction; medical signal processing; ECG recordings; blind source separation; cyclostationarity-based source separation method; foetal PQRST extraction; foetal heart rate variability estimation; statistical nature; Channel estimation; Electrocardiography; Frequency estimation; Heart rate variability; Lead; Sensors; Algorithms; Electrocardiography; Electrodes; Female; Fetal Heart; Fetal Monitoring; Fourier Analysis; Heart Rate; Humans; Models, Cardiovascular; Models, Statistical; Pregnancy; Signal Processing, Computer-Assisted; Time Factors;
Conference_Titel :
Engineering in Medicine and Biology Society (EMBC), 2010 Annual International Conference of the IEEE
Conference_Location :
Buenos Aires
Print_ISBN :
978-1-4244-4123-5
DOI :
10.1109/IEMBS.2010.5627304