Open AccessA method for magnetocardiograms filtering based on singular value decomposition and S-transform
Author(s) -
Yin Bai-Qiang,
Yigang He,
Xiaofeng Wu
Publication year - 2013
Publication title -
wuli xuebao
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.199
H-Index - 47
ISSN - 1000-3290
DOI - 10.7498/aps.62.148702
Subject(s) - singular value decomposition , s transform , algorithm , computer science , singular value , matrix (chemical analysis) , noise (video) , inverse , mathematics , image (mathematics) , artificial intelligence , wavelet transform , discrete wavelet transform , eigenvalues and eigenvectors , physics , materials science , geometry , quantum mechanics , wavelet , composite material
In order to solve the problem of power line noise and environmental magnetic noise to magnetocardiogram, a filtering method based on singular value decomposition (SVD) and generalized S transform is proposed. On the basis of discrete condition, S transform and its inverse transform in matrix form are derived. The signal is first preprocessed using generalized S transform in order to get better time-frequency resolution, then the time-frequency domain is decomposed by SVD, and the valid time-frequency region is determined. Therefore, the adaptive filtering can be realized. Numerical simulation studies indicate that the method presented can achieve better performance than other methods with less singular values. Illustrative examples verify the effectiveness of the proposed method.