Blind source separation of periodic sources from sequentially recorded instantaneous mixtures

We consider the separation of sources when only one movable sensor is available to record a set of mixtures at distinct locations. A single mixture signal is acquired, which is firstly segmented. Then, based on the assumption that the underlying sources are temporally periodic, we align the resulting signals and form a measurement vector on which source separation can be performed. We demonstrate that this approach can successfully recover the original sources both when working with simulated data, and for a real problem of heart sound separation.

[1]  R. Priemer,et al.  A Procedure to Extract the Aortic and the Pulmonary Sounds from the Phonocardiogram , 2006, 2006 International Conference of the IEEE Engineering in Medicine and Biology Society.

[2]  A. Restrepo,et al.  On the period of sums of discrete periodic signals , 1998, IEEE Signal Processing Letters.

[3]  Erkki Oja,et al.  Independent component analysis: algorithms and applications , 2000, Neural Networks.

[4]  Anol Bhattacherjee,et al.  Physicians' Resistance toward Healthcare Information Technologies: A Dual-Factor Model , 2007, 2007 40th Annual Hawaii International Conference on System Sciences (HICSS'07).

[5]  Arthur H. M. van Roermund,et al.  Unsupervised adaptive filtering, volume I: blind source separation [Book Review] , 2002, IEEE Circuits and Devices Magazine.

[6]  Joos Vandewalle,et al.  Fetal electrocardiogram extraction by blind source subspace separation , 2000, IEEE Transactions on Biomedical Engineering.

[7]  Shun-ichi Amari,et al.  Adaptive blind signal processing-neural network approaches , 1998, Proc. IEEE.

[8]  Sam T. Roweis,et al.  One Microphone Source Separation , 2000, NIPS.

[9]  T. Ens,et al.  Blind signal separation : statistical principles , 1998 .

[10]  Seungjin Choi,et al.  Independent Component Analysis , 2009, Handbook of Natural Computing.

[11]  Mark D. Plumbley,et al.  Separating sources from sequentially acquired mixtures of heart signals , 2011, 2011 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

[12]  Asoke K. Nandi,et al.  Foetal ECG separation , 1997 .

[13]  W.J. Tompkins,et al.  ECG beat detection using filter banks , 1999, IEEE Transactions on Biomedical Engineering.

[14]  A. J. Bell,et al.  INDEPENDENT COMPONENT ANALYSIS OF BIOMEDICAL SIGNALS , 2000 .