Multiple stopping criteria and high-precision EMD architecture implementation for Hilbert-Huang transform

Tsung Che Lu, Pei Yu Chen, Shih Wei Yeh, Lan-Da Van

研究成果: Conference contribution同行評審

12 引文 斯高帕斯(Scopus)

摘要

In this work, a multiple stopping criteria and high-precision empirical mode decomposition (EMD) hardware architecture implementation is proposed for Hilbert-Huang transform (HHT) in biomedical signal processing. The proposed architecture can support multiple stopping criteria including the constant criteria, the SD criteria and the ratio criteria. The 38-bit floating point precision is adopted in this work to support 10 IMF components with enough accuracy. The off-chip memory architecture is adopted to increase the processing capacity. By the pipelined cubic spline coefficient unit (PCSCU), the computation time can be reduced. The proposed EMD hardware architecture is implemented in TSMC 90 nm CMOS process with the core area of 4.47 mm2 at the operating frequency of 40 MHz. The post-layout simulation result shows that our work with the constant criterion can speed up the performance 50.4 times compared to the software computation on a single core of ARM11 for 2K data size breathing signals.

原文English
主出版物標題IEEE 2014 Biomedical Circuits and Systems Conference, BioCAS 2014 - Proceedings
發行者Institute of Electrical and Electronics Engineers Inc.
頁面200-203
頁數4
ISBN(電子)9781479923465
DOIs
出版狀態Published - 9 12月 2014
事件10th IEEE Biomedical Circuits and Systems Conference, BioCAS 2014 - Lausanne, 瑞士
持續時間: 22 10月 201424 10月 2014

出版系列

名字IEEE 2014 Biomedical Circuits and Systems Conference, BioCAS 2014 - Proceedings

Conference

Conference10th IEEE Biomedical Circuits and Systems Conference, BioCAS 2014
國家/地區瑞士
城市Lausanne
期間22/10/1424/10/14

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