Singular value decomposition with normalized period for magnetocaridiography signal processing
李倬 刘当婷 田野 陈赓华 张利华 杨乾声 冯稷
Beijing National Laboratory for Condensed Matter Physics, Institute of Physics, Chinese Academy of Sciences, Beijing 100080, China
Singular value decomposition with normalized period for magnetocaridiography signal processing
Li Zhuo, Liu Dang-Ting, Tian Ye, Chen Geng-Hua Zhang Li-Hua, Yang Qian-Sheng, and Feng Ji(Beijing National Laboratory for Condensed Matter Physics, Institute of Physics, Chinese Academy of Sciences, Beijing 100080, China)
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.[著者文摘]
Key words:
singular value decomposition, magnetocardiography
基金资助:
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 Program for Basic Research of China (Grant No 2006CB601007).

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