Title
Heart and lung sound separation using periodic source extraction method
Abstract
In this paper a novel algorithm for blind source extraction of quasi-periodic signals is developed. It is assumed that the cycle frequencies of the sources are known a priori. Necessary and sufficient conditions are introduced and Jacobi method for diagonalization of complex matrices is used to find the solution. A warping method is also introduced to adjust the cycle frequencies in the signals with time varying periods. The proposed algorithm is applied to simulated data and mixtures of heart and lung sounds, and effectiveness and performance of the algorithm are verified.
Year
DOI
Venue
2009
10.1109/ICDSP.2009.5201177
DSP'09 Proceedings of the 16th international conference on Digital Signal Processing
Keywords
DocType
Citations 
bioacoustics,cardiology,lung,medical signal processing,source separation,Jacobi method,cycle frequencies,diagonalization,heart,lung,periodic source extraction method,sound separation,warping method,Blind source extraction,cyclostationarity,heart and lung sound separation,periodic signal separation
Conference
2
PageRank 
References 
Authors
0.54
10
5
Name
Order
Citations
PageRank
Foad Ghaderi1567.64
Saeid Sanei253072.63
Bahador Makkiabadi3538.92
Vahid Abolghasemi427422.58
John G. McWhirter521428.77