Implementation of Gabor feature extraction algorithm for electrocardiogram on FPGA

Gwo-Giun Lee, Zuo Jheng Huang, Chih Yuan Chen, Chun Fu Chen

研究成果: Conference contribution

3 引文 斯高帕斯(Scopus)

摘要

This paper implements an electrocardiogram (ECG) feature extraction system onto a Field Programmable Gate Array (FPGA). The algorithm extracts ECG features including R peaks, QRS onsets, Q peaks, S peaks, QRS offsets, P onsets, P peaks, P offsets, T onsets, T peaks, and T offsets based on multi-scale analysis in Gabor Wavelet Transform (GWT); and estimates the amplitudes of P, R, T peaks and Q, S depths. Subjects' ECG signals are acquired through the Texas Instrument (TI) ADS1298R-ECGPDK ECG signal acquisition, and then transferred to Xilinx XUPV5-LX110T Evaluation Platform for ECG feature extraction via Serial Peripheral Interface (SPI). Consequently, the results that are obtained by the feature extraction process will be stored in the CompactFlash Card of the evaluation platform and displayed on the monitor via the National Instrument (NI) data acquisition. The experimental results show that the proposed system that achieves low comparative error surpasses the performance in other related works.

原文English
主出版物標題2015 IEEE International Symposium on Circuits and Systems, ISCAS 2015
發行者Institute of Electrical and Electronics Engineers Inc.
頁面798-801
頁數4
ISBN(電子)9781479983919
DOIs
出版狀態Published - 2015 7月 27
事件IEEE International Symposium on Circuits and Systems, ISCAS 2015 - Lisbon, Portugal
持續時間: 2015 5月 242015 5月 27

出版系列

名字Proceedings - IEEE International Symposium on Circuits and Systems
2015-July
ISSN(列印)0271-4310

Other

OtherIEEE International Symposium on Circuits and Systems, ISCAS 2015
國家/地區Portugal
城市Lisbon
期間15-05-2415-05-27

All Science Journal Classification (ASJC) codes

  • 電氣與電子工程

指紋

深入研究「Implementation of Gabor feature extraction algorithm for electrocardiogram on FPGA」主題。共同形成了獨特的指紋。

引用此