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- W2955291041 abstract "Pulse diagnosis can non-invasively measure holistic health and has been developed for two thousand years. Single-point pulse waves (SPPWs) were typically applied to quantification analysis pulse diagnosis. However, SPPWs lack the expression of spatial information, such as the length of wrist pulse and the width of wrist pulse, which is an important diagnostic indicator in pulse diagnosis. The three-dimensional pulse images (3DPI), proposed by Luo, can be applied to extract temporal and spatial properties of arterial pulsation. Moreover, base-plane wander and static pressure have become new problems in the research on pulse signal. The present study proposes a novel method to preprocess the 3DPI by using robust principal component analysis (RPCA) and variational mode decomposition (VMD). The experimental results demonstrate that our method can remove interference effectively and have the best capability to tackle the interference problems." @default.
- W2955291041 created "2019-07-12" @default.
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- W2955291041 date "2019-05-10" @default.
- W2955291041 modified "2023-09-23" @default.
- W2955291041 title "Interference Reduction by Using RPCA and Variational Mode Decomposition in 3D Pulse Images" @default.
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- W2955291041 doi "https://doi.org/10.1145/3330393.3330397" @default.
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