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QRS complex detection using centered cumulative sums of squares

Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSN › Conference contribution/Paper › peer-review

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QRS complex detection using centered cumulative sums of squares. / Alkhaldi, T.; Mihaylova, L.; Gellersen, H.
Signal Processing: Algorithms, Architectures, Arrangements, and Applications (SPA), 2013. IEEE, 2013. p. 168-171.

Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSN › Conference contribution/Paper › peer-review

Harvard

Alkhaldi, T, Mihaylova, L & Gellersen, H 2013, QRS complex detection using centered cumulative sums of squares. in Signal Processing: Algorithms, Architectures, Arrangements, and Applications (SPA), 2013. IEEE, pp. 168-171. <http://ieeexplore.ieee.org/xpl/articleDetails.jsp?tp=&arnumber=6710618>

APA

Alkhaldi, T., Mihaylova, L., & Gellersen, H. (2013). QRS complex detection using centered cumulative sums of squares. In Signal Processing: Algorithms, Architectures, Arrangements, and Applications (SPA), 2013 (pp. 168-171). IEEE. http://ieeexplore.ieee.org/xpl/articleDetails.jsp?tp=&arnumber=6710618

Vancouver

Alkhaldi T, Mihaylova L, Gellersen H. QRS complex detection using centered cumulative sums of squares. In Signal Processing: Algorithms, Architectures, Arrangements, and Applications (SPA), 2013. IEEE. 2013. p. 168-171

Author

Alkhaldi, T. ; Mihaylova, L. ; Gellersen, H. / QRS complex detection using centered cumulative sums of squares. Signal Processing: Algorithms, Architectures, Arrangements, and Applications (SPA), 2013. IEEE, 2013. pp. 168-171

Bibtex

@inproceedings{1e189c8cb4a445c8b8779302ff54a4fa,
title = "QRS complex detection using centered cumulative sums of squares",
abstract = "This paper proposes a new framework for accurate detection of the QRS complex based on centered Cumulative Sums of Squares (CUSUM). This detection of the QRS complex is very important for many health applications. To accurately detect the QRS wave, the proposed framework first uses filters to reduce the frequency of big T and P waves. Then, it applies the CUSUM and differential operation to produce a set of event vectors and uses a fixed threshold to detect the QRS candidates. Then, a width feature is used to discriminate the non-QRS complex from the QRS complex event. For the purpose of evaluation, the standard ECG MIT-BIH database has been used. The evaluation results show that our method has an accuracy of 99.66%.",
keywords = "electrocardiography, filters, ECG MIT-BIH database, P waves, QRS complex detection, T waves, centered cumulative sums of squares, Databases, Filtering, CUSUM, Detection, ECG signal, QRS complex",
author = "T. Alkhaldi and L. Mihaylova and H. Gellersen",
year = "2013",
month = sep,
day = "26",
language = "English",
pages = "168--171",
booktitle = "Signal Processing: Algorithms, Architectures, Arrangements, and Applications (SPA), 2013",
publisher = "IEEE",

}

RIS

TY - GEN

T1 - QRS complex detection using centered cumulative sums of squares

AU - Alkhaldi, T.

AU - Mihaylova, L.

AU - Gellersen, H.

PY - 2013/9/26

Y1 - 2013/9/26

N2 - This paper proposes a new framework for accurate detection of the QRS complex based on centered Cumulative Sums of Squares (CUSUM). This detection of the QRS complex is very important for many health applications. To accurately detect the QRS wave, the proposed framework first uses filters to reduce the frequency of big T and P waves. Then, it applies the CUSUM and differential operation to produce a set of event vectors and uses a fixed threshold to detect the QRS candidates. Then, a width feature is used to discriminate the non-QRS complex from the QRS complex event. For the purpose of evaluation, the standard ECG MIT-BIH database has been used. The evaluation results show that our method has an accuracy of 99.66%.

AB - This paper proposes a new framework for accurate detection of the QRS complex based on centered Cumulative Sums of Squares (CUSUM). This detection of the QRS complex is very important for many health applications. To accurately detect the QRS wave, the proposed framework first uses filters to reduce the frequency of big T and P waves. Then, it applies the CUSUM and differential operation to produce a set of event vectors and uses a fixed threshold to detect the QRS candidates. Then, a width feature is used to discriminate the non-QRS complex from the QRS complex event. For the purpose of evaluation, the standard ECG MIT-BIH database has been used. The evaluation results show that our method has an accuracy of 99.66%.

KW - electrocardiography

KW - filters

KW - ECG MIT-BIH database

KW - P waves

KW - QRS complex detection

KW - T waves

KW - centered cumulative sums of squares

KW - Databases

KW - Filtering

KW - CUSUM

KW - Detection

KW - ECG signal

KW - QRS complex

M3 - Conference contribution/Paper

SP - 168

EP - 171

BT - Signal Processing: Algorithms, Architectures, Arrangements, and Applications (SPA), 2013

PB - IEEE

ER -