Abstract In this paper, we have developed an algorithm based on singular value decomposition (SVD) for matrix. And the novel SVD algorithm with normalized period of cardiac cycles is presented. The results from real magnetocardiography (MCG) data processing show that the new algorithm is better than the standard one not only in suppressing noises, but also in providing high-fidelity MCG signals.
Received: 21 May 2007
Revised: 20 July 2007
Accepted manuscript online:
(Static and low-frequency electric and magnetic fields effects)
Fund: Project supported by the Major Program for the
Fundamental Research of the Chinese Academy of Sciences, China
(Grant No~KJCX2-W4), the National High Technology Research and
Development Program of China
(Grant No~2002AA306412) and the State Key Development
Cite this article:
Li Zhuo(李倬), Liu Dang-Ting(刘当婷), Tian Ye(田野), Chen Geng-Hua(陈赓华), Zhang Li-Hua(张利华), Yang Qian-Sheng(杨乾声), and Feng Ji(冯稷) Singular value decomposition with normalized period for magnetocaridiography signal processing 2007 Chinese Physics 16 2913
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