標題: An Efficient Hardware Architecture Design of EEMD Processor for Electrocardiography Signal
作者: Chen, I-Wei
Chuang, Shang-Yi
Wu, Wen-Jun
Fang, Wai-Chi
電子工程學系及電子研究所
Department of Electronics Engineering and Institute of Electronics
關鍵字: Electrocardiography;Field Programmable Gate Array (FPGA);Ensemble Empirical Mode Decomposition (EEMD)
公開日期: 1-一月-2018
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 < 4.7x10(-5). This approach can effectively analyze the non-linear and non-stationary biomedical signal and facilitate cardiovascular diseases diagnosis and long-term monitoring.
URI: http://hdl.handle.net/11536/151053
ISSN: 2163-4025
期刊: 2018 IEEE BIOMEDICAL CIRCUITS AND SYSTEMS CONFERENCE (BIOCAS): ADVANCED SYSTEMS FOR ENHANCING HUMAN HEALTH
起始頁: 463
結束頁: 466
顯示於類別:會議論文