A novel blind source extration method for biomedical signals

Biomedical signals are a rich source of information about physiological processes, but they are often contaminated by noise. In order to separate biomedical signals from mixtures effectually, we propose a novel blind source extration method that is robust with respect to the noise. The robustness lies in two-fold: on the one hand,the method does not lead to biassed estimates and, on the other, it minimizes the amount of signal and noise interference on the estimated sources. Based on independent component analysis techniques, the proposed method can give a consistent estimator of the mixing matrix and the noise variance. Preliminary results tested with ECG signals have demonstrated that the proposed method may be promising for blindly separating biomedical signals in the presence of noise and further decompose the mixed signals into subcomponents.