DocumentCode :
730172
Title :
A multi-modal approach using a non-parametric model to extract fetal ECG
Author :
Noorzadeh, Saman ; Rivet, Bertrand ; Gumery, Pierre-Yves
Author_Institution :
GIPSA-Lab., Grenoble Univ., Grenoble, France
fYear :
2015
fDate :
19-24 April 2015
Firstpage :
832
Lastpage :
836
Abstract :
This study presents a non-parametric method to extract and separate maternal and fetal electrocardiogram (ECG) from an abdominal channel. The proposed method relies on the use of two additional reference signals related to the maternal and to the fetal ECGs. The fetal and maternal ECG contributions which exist in the abdominal channel are modeled from their respective references using a Gaussian process. Both of these signals are modeled considering a thoracic ECG reference, and an abdominal PCG reference, respectively for maternal ECG and fetal ECG. This general method provides a good behavior to extract fetal ECG as stated by the numerical experiments and shows that it can make use of 1-bit reference signals, which can be easier to record and more efficient to process.
Keywords :
Gaussian processes; electrocardiography; feature extraction; medical signal processing; obstetrics; Gaussian process; I-bit reference signals; abdominal PCG reference; abdominal channel; additional reference signals; fetal ECG extraction; fetal electrocardiogram; maternal electrocardiogram; multimodal approach; nonparametric model; thoracic ECG reference; Electrocardiography; Estimation; Gaussian process; PCG; fetal ECG; multi-channel approach; multi-modal; non-parametric model;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Acoustics, Speech and Signal Processing (ICASSP), 2015 IEEE International Conference on
Conference_Location :
South Brisbane, QLD
Type :
conf
DOI :
10.1109/ICASSP.2015.7178086
Filename :
7178086
Link To Document :
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