An effective photoplethysmography signal processing system based on EEMD method

Jia Ju Liao, Shang Yi Chuang, Chia Ching Chou, Chia Chi Chang, Wai-Chi  Fang

研究成果: Conference contribution同行評審

3 引文 斯高帕斯(Scopus)

摘要

This study proposed an effective signal processing system based on Ensemble Empirical Mode Decomposition (EEMD) method for the analysis of Photoplethysmography (PPG). The whole system was implemented on an ARM-based SoC development platform to attain the on-line non-stationary signal processing. A non-invasive near-infrared light sensing device was used to record the continuous PPG as the input signal. According to the non-stationary characteristics of PPG, EEMD is useful to achieve accurate analysis for PPG. The signal was decomposed into several Intrinsic Mode Functions (IMFs) by EEMD. The results showed that the proposed EEMD processor can effectively solve the mode mixing problem of Empirical Mode Decomposition (EMD). This study examined its possibility based on specific architecture with an on-board Xilinx FPGA. It was helpful for non-stationary biomedical signal processing and cardiovascular diseases research.

原文English
主出版物標題2015 International Symposium on VLSI Design, Automation and Test, VLSI-DAT 2015
發行者Institute of Electrical and Electronics Engineers Inc.
ISBN(電子)9781479962754
DOIs
出版狀態Published - 28 5月 2015
事件2015 International Symposium on VLSI Design, Automation and Test, VLSI-DAT 2015 - Hsinchu, Taiwan
持續時間: 27 4月 201529 4月 2015

出版系列

名字2015 International Symposium on VLSI Design, Automation and Test, VLSI-DAT 2015

Conference

Conference2015 International Symposium on VLSI Design, Automation and Test, VLSI-DAT 2015
國家/地區Taiwan
城市Hsinchu
期間27/04/1529/04/15

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