Arteriosclerosis Feature Extraction for Human Pulse Signals

被引：0

作者：

Zhang, Shiru ^{[1
]}

Chen, Xiaotong ^{[1
]}

Sun, Qingfu ^{[1
]}

机构：

[1] Xian Univ Sci & Technol, Coll Commun & Informat Engn, Xian 710054, Shaanxi, Peoples R China

来源：

2015 INTERNATIONAL SYMPOSIUM ON BIOELECTRONICS AND BIOINFORMATICS (ISBB) | 2015年

关键词：

Human pulse signal; feature extraction; empirical mode decomposition (EMD); arteriosclerosis;

D O I：

暂无

中图分类号：

R318 [生物医学工程];

学科分类号：

0831 ;

摘要：

Pulse signal is one of the most important physiological signals in human bodies. It can provide the most important information for disease diagnosis. In this paper, we focus on the human pulse feature extraction based on Empirical Mode Decomposition ( EMD). Arteriosclerosis pulse feature extraction based on EMD is studied. We analyze the atherosclerosis pulses by using their modal energy ratio. Simulation results show that the proposed method can be used to distinguish healthy pulses with arteriosclerosis pulses.

引用

页码：192 / 195

页数：4

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