An Efficient Hardware Architecture Design of EEMD Processor for Electrocardiography Signal

I. Wei Chen, Shang Yi Chuang, Wen Lun Wu, Wai-Chi Fang

研究成果: Conference contribution同行評審

2 引文 斯高帕斯(Scopus)

摘要

This study proposed an efficient hardware architecture design of Ensemble Empirical Mode Decomposition (EEMD) processor for the signal analysis of Electrocardiography (ECG). The proposed processor is implemented in an on-board Xilinx FPGA for on-line signal processing of the non-linear and non-stationary signal. The EEMD method is appropriate to analyze the non-linear ECG signal with assisting white noise and decompose the signal into 8 sets of Intrinsic Mode Functions (IMFs). The experimental result shows that the mode mixing problem, which exists in the Empirical Mode Decomposition (EMD) method, solved by the proposed EEMD processor. The study solves the obstacle of mode mixing and achieves high accuracy with data error < 4.7×10-5. This approach can effectively analyze the non-linear and non-stationary biomedical signal and facilitate cardiovascular diseases diagnosis and long-term monitoring.

原文English
主出版物標題2018 IEEE Biomedical Circuits and Systems Conference, BioCAS 2018 - Proceedings
發行者Institute of Electrical and Electronics Engineers Inc.
ISBN(電子)9781538636039
DOIs
出版狀態Published - 20 十二月 2018
事件2018 IEEE Biomedical Circuits and Systems Conference, BioCAS 2018 - Cleveland, United States
持續時間: 17 十月 201819 十月 2018

出版系列

名字2018 IEEE Biomedical Circuits and Systems Conference, BioCAS 2018 - Proceedings

Conference

Conference2018 IEEE Biomedical Circuits and Systems Conference, BioCAS 2018
國家United States
城市Cleveland
期間17/10/1819/10/18

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