Title :
Atrial fibrillation analysis based on ICA including statistical and temporal source information
Author :
Castells, F. ; Igual, J. ; Rieta, J.J. ; Sanchez, C. ; Millet, J.
Author_Institution :
Electron. & Telemedicine Res. Group, Univ. Politecnica de Valencia, Spain
Abstract :
The analysis and characterization of atrial fibrillation requires the prior extraction of the atrial activity from the electrocardiogram, where the independent atrial and ventricular activities are combined in addition to noise. An independent component analysis method is proposed where additional knowledge about the time and statistical structure of the sources is incorporated. Finally, a combined method based on maximum likelihood and second order blind identification is obtained and validated with results that improve those obtained with traditional ICA algorithms.
Keywords :
blind source separation; electrocardiography; independent component analysis; maximum likelihood estimation; medical signal processing; patient diagnosis; ICA; atrial activity; atrial fibrillation analysis; blind source separation; electrocardiogram; independent component analysis; maximum likelihood identification; second order blind identification; source statistical information; source temporal information; ventricular activity; Additive white noise; Atrial fibrillation; Biomedical engineering; Electrocardiography; Gaussian noise; Independent component analysis; Information analysis; Maximum likelihood estimation; Signal processing algorithms; Source separation;
Conference_Titel :
Acoustics, Speech, and Signal Processing, 2003. Proceedings. (ICASSP '03). 2003 IEEE International Conference on
Print_ISBN :
0-7803-7663-3
DOI :
10.1109/ICASSP.2003.1199876
