Title :
What ICA Provides for ECG Processing: Application to Noninvasive Fetal ECG Extraction
Author :
Sameni, Reza ; Jutten, Christian ; Shamsollahi, Mohammad B.
Author_Institution :
Lab. des Images et des Signaux, CNRS UMR, Grenoble
Abstract :
In recent studies, independent component analysis (ICA) has been used for the analysis of multi-channel ECG recordings. However most of these works have been carried out from the signal processing perspective. In this work, the single dipole vector theory of the heart and the ECG dimensionality are studied from the source separation viewpoint. Based on this study, the interpretation of the components extracted from multi-channel ECG and maternal abdominal recordings, and their relationship with the vectorcardiogram representation of the cardiac dipole are presented. The results of this study can be used for the extraction of meaningful clinical indexes, based on ICA techniques
Keywords :
electrocardiography; independent component analysis; medical signal processing; source separation; ICA; cardiac dipole; independent component analysis; maternal abdominal recordings; multichannel ECG recordings; noninvasive fetal ECG extraction; single dipole vector theory; source separation; vectorcardiogram representation; Abdomen; Biomedical signal processing; Conductors; Electrocardiography; Heart; Independent component analysis; Power system modeling; Principal component analysis; Robust stability; Source separation;
Conference_Titel :
Signal Processing and Information Technology, 2006 IEEE International Symposium on
Conference_Location :
Vancouver, BC
Print_ISBN :
0-7803-9753-3
Electronic_ISBN :
0-7803-9754-1
DOI :
10.1109/ISSPIT.2006.270882