Accelerometer-Based Breathing Signal Acquisition with Empirical Mode Decomposition

被引：0

作者：

Yang, Bo-Yuan ^{[1
,3
]}

Chang, Cheng-Chun ^{[1
,3
]}

Ting, Yi-Hsuan ^{[1
,3
]}

Liao, Jia-Wei ^{[1
]}

Lin, Hong-Li ^{[1
]}

Lin, Tay-Jyi ^{[1
,3
]}

Yeh, Chingwei ^{[2
,3
]}

Wang, Jinn-Shyan ^{[2
,3
]}

机构：

[1] Natl Chung Cheng Univ CCU, Dept Comp Sci & Informat Engn, Minxiong, Taiwan

[2] CCU, Dept Elect Engn, Minxiong, Taiwan

[3] CCU, SoC AIM HI Ctr, Minxiong, Taiwan

来源：

2014 INTERNATIONAL CONFERENCE ON INFORMATION SCIENCE AND APPLICATIONS (ICISA) | 2014年

关键词：

D O I：

暂无

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

This paper presents an effective method based on the empirical mode decomposition (EMD) to extract driver's breathing signal from an accelerometer installed on the safety belt. The method has been verified to have consistent results with commercial belt under various driving conditions, where the acceleration from car driving or road bumps has much higher signal power than the desired breathing signal from chest movement (i.e. negative signal to noise ratio).

引用

页数：2

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