Blood volume signal analysis with empirical mode decomposition

被引:4
作者
Souretis, George [1 ]
Mandic, Danilo P. [1 ]
Grisseli, Massimo [2 ]
Tanaka, Toshihisa [3 ]
Van Hulle, Marc [4 ]
机构
[1] Univ London Imperial Coll Sci Technol & Med, Dept Elect & Elect Engn, London SW7 2AZ, England
[2] Royal Brompton Hosp, London, England
[3] Tokyo Univ Agr & Technol, Dept Elect & Elect Engn, Fuchu, Tokyo 183, Japan
[4] Katholieke Univ Leuven, Lab Neurofysiol, Leuven, Belgium
来源
PROCEEDINGS OF THE 2007 15TH INTERNATIONAL CONFERENCE ON DIGITAL SIGNAL PROCESSING | 2007年
关键词
conductance volumetry; ECG pattern superposition; empirical mode decomposition;
D O I
10.1109/ICDSP.2007.4288540
中图分类号
TP39 [计算机的应用];
学科分类号
081203 ; 0835 ;
摘要
Biomedical observations are often coBiomedical observations are often coupled nonlinear processes with Superimposed intereferences and noise. The nature of the signal and noise, as well as the data acquisition method exclude the usage of classical linear techniques. Empirical Mode Decomposition is used to denoise a blood volume signal. The denoising performance, although evaluated only visualy, presents several desirable characteristics Such as file ability to associate the physical meaning to the components of the decomposed signal upled nonlinear processes with superimposed intereferences and noise. The nature of the signal and noise, as well as the data acquisition method exclude the usage of classical linear techniques. Empirical Mode Decomposition is used to denoise a blood volume signal. The denoising, performance, although evaluated only visualy, presents several desirable characteristics Such as the abilily to associate the physical meaning to the components of the decomposed signal.
引用
收藏
页码:147 / +
页数:2
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