Novel R-wave detection algorithm of DCG signal

Yingtao Zhang; Jianhua Huang; Mingda Li; Tao Song

doi:10.11784/tdxbz201206014

Novel R-wave detection algorithm of DCG signal

Yingtao Zhang^*
, Jianhua Huang
, Mingda Li
, Tao Song

^*Corresponding author for this work

School of Computer Science and Technology, Harbin Institute of Technology
The First Affiliated Hospital of Harbin Medical University

Research output: Contribution to journal › Article › peer-review

Abstract

A novel R-wave detection algorithm of DCG signal is proposed. The algorithm takes the average two-way slope and relative height as its main characteristics. It can detect the R-wave fast and accurately. The feasibility of the algorithm is verified by MIT-BIH Long-Term ECG database and the Holter records from FAHHMU. Experimental results indicate that this algorithm has a much more precise detection rate(98.3%) than the maximum double-searching technology and the difference operation method(DOM)(95.2% and 90.7%).

Original language	English
Pages (from-to)	74-80
Number of pages	7
Journal	Tianjin Daxue Xuebao (Ziran Kexue yu Gongcheng Jishu Ban)/Journal of Tianjin University Science and Technology
Volume	47
Issue number	1
DOIs	https://doi.org/10.11784/tdxbz201206014
State	Published - Jan 2014
Externally published	Yes

Keywords

Average two-way slope
DCG signal
MIT-BIH Long-Term ECG database
Relative height

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abstract = "A novel R-wave detection algorithm of DCG signal is proposed. The algorithm takes the average two-way slope and relative height as its main characteristics. It can detect the R-wave fast and accurately. The feasibility of the algorithm is verified by MIT-BIH Long-Term ECG database and the Holter records from FAHHMU. Experimental results indicate that this algorithm has a much more precise detection rate(98.3\%) than the maximum double-searching technology and the difference operation method(DOM)(95.2\% and 90.7\%).",

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author = "Yingtao Zhang and Jianhua Huang and Mingda Li and Tao Song",

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doi = "10.11784/tdxbz201206014",

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T1 - Novel R-wave detection algorithm of DCG signal

AU - Zhang, Yingtao

AU - Huang, Jianhua

AU - Li, Mingda

AU - Song, Tao

PY - 2014/1

Y1 - 2014/1

N2 - A novel R-wave detection algorithm of DCG signal is proposed. The algorithm takes the average two-way slope and relative height as its main characteristics. It can detect the R-wave fast and accurately. The feasibility of the algorithm is verified by MIT-BIH Long-Term ECG database and the Holter records from FAHHMU. Experimental results indicate that this algorithm has a much more precise detection rate(98.3%) than the maximum double-searching technology and the difference operation method(DOM)(95.2% and 90.7%).

AB - A novel R-wave detection algorithm of DCG signal is proposed. The algorithm takes the average two-way slope and relative height as its main characteristics. It can detect the R-wave fast and accurately. The feasibility of the algorithm is verified by MIT-BIH Long-Term ECG database and the Holter records from FAHHMU. Experimental results indicate that this algorithm has a much more precise detection rate(98.3%) than the maximum double-searching technology and the difference operation method(DOM)(95.2% and 90.7%).

KW - Average two-way slope

KW - DCG signal

KW - MIT-BIH Long-Term ECG database

KW - Relative height

UR - https://www.scopus.com/pages/publications/84897792101

U2 - 10.11784/tdxbz201206014

DO - 10.11784/tdxbz201206014

M3 - 文章

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JO - Tianjin Daxue Xuebao (Ziran Kexue yu Gongcheng Jishu Ban)/Journal of Tianjin University Science and Technology

JF - Tianjin Daxue Xuebao (Ziran Kexue yu Gongcheng Jishu Ban)/Journal of Tianjin University Science and Technology

IS - 1

ER -

Novel R-wave detection algorithm of DCG signal

Abstract

Keywords

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