An ECG feature extraction with wavelet algorithm for personal healthcare

Xue Qin Xie, Liang Hung Wang, Su Ya Jiang, Shuenn-Yuh Lee, Kuang Hao Lin, Xin Kang Wang, Yi Bin Li, Ning Deng

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

1 Citation (Scopus)

Abstract

This paper presents an electrocardiogram (ECG) feature extraction with wavelet algorithm for personal healthcare monitoring. Developing a wireless ECG examination system employed to monitor the cardiovascular disease (CVD) is signification, especially uses a low-power device anywhere and anytime detecting the real-time ECG signal for self-examination applications. The continuous time Mexican-Hat wavelet transform (CTMHWT) algorithm is quickly and easily applied to analyze the approximation of P-QRS-T complex fiducial points. The database, MIT-BIH discrete points, is adopted to efficiently extract the ECG signal according to CTMHWT algorithm with Matlab simulator. Moreover, the simulation result reveals that the feature extraction of ECG signal is satisfied to the required error range.

Original languageEnglish
Title of host publication4th International Symposium on Bioelectronics and Bioinformatics, ISBB 2015
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages128-131
Number of pages4
ISBN (Electronic)9781467366090
DOIs
Publication statusPublished - 2015 Dec 2
Event4th International Symposium on Bioelectronics and Bioinformatics, ISBB 2015 - Beijing, China
Duration: 2015 Oct 142015 Oct 17

Publication series

Name4th International Symposium on Bioelectronics and Bioinformatics, ISBB 2015

Other

Other4th International Symposium on Bioelectronics and Bioinformatics, ISBB 2015
CountryChina
CityBeijing
Period15-10-1415-10-17

All Science Journal Classification (ASJC) codes

  • Health Informatics
  • Biotechnology
  • Signal Processing
  • Electrical and Electronic Engineering

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  • Cite this

    Xie, X. Q., Wang, L. H., Jiang, S. Y., Lee, S-Y., Lin, K. H., Wang, X. K., Li, Y. B., & Deng, N. (2015). An ECG feature extraction with wavelet algorithm for personal healthcare. In 4th International Symposium on Bioelectronics and Bioinformatics, ISBB 2015 (pp. 128-131). [7344940] (4th International Symposium on Bioelectronics and Bioinformatics, ISBB 2015). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ISBB.2015.7344940