Open AccessWavelet transformation for magnetocardiography signal
Author(s) -
Zhao Li,
Feng Ji,
Guangtao Zhai,
Lihua Zhang
Publication year - 2005
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.54.1943
Subject(s) - magnetocardiography , wavelet , computer science , signal (programming language) , transformation (genetics) , magnetometer , wavelet transform , noise (video) , signal processing , acoustics , algorithm , speech recognition , physics , artificial intelligence , telecommunications , magnetic field , chemistry , biochemistry , radar , quantum mechanics , image (mathematics) , gene , programming language
How to extract the magnetocardiographic (MCG) signals from the noisy background is the key of MCG signal processing. In this paper, wavelet transformation is adopted to recover the MCG signals, acquired by using the high Tcc dc -SQUI D magnetometer developed at our institute. The results of this work show that t his method is much more effective than other methods used before and can be implemented in the MCG system for routing operation. This method can also be used in noise cancellation of other non-stationary signals.