Implementation of Gabor feature extraction algorithm for electrocardiogram on FPGA

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

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Citation (Scopus)

Abstract

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.

Original languageEnglish
Title of host publication2015 IEEE International Symposium on Circuits and Systems, ISCAS 2015
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages798-801
Number of pages4
ISBN (Electronic)9781479983919
DOIs
Publication statusPublished - 2015 Jul 27
EventIEEE International Symposium on Circuits and Systems, ISCAS 2015 - Lisbon, Portugal
Duration: 2015 May 242015 May 27

Publication series

NameProceedings - IEEE International Symposium on Circuits and Systems
Volume2015-July
ISSN (Print)0271-4310

Other

OtherIEEE International Symposium on Circuits and Systems, ISCAS 2015
CountryPortugal
CityLisbon
Period15-05-2415-05-27

All Science Journal Classification (ASJC) codes

  • Electrical and Electronic Engineering

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