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Hans Gellersen

QRS complex detection using centered cumulative sums of squares

Research output: Contribution to book/anthology/report/proceedingArticle in proceedingsResearchpeer-review

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%.
Original languageEnglish
Title of host publicationSignal Processing: Algorithms, Architectures, Arrangements, and Applications (SPA), 2013
Number of pages4
PublisherIEEE
Publication year26 Sep 2013
Pages168-171
Publication statusPublished - 26 Sep 2013
Externally publishedYes

    Research areas

  • 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

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