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Automatic detection of QRS complex based on wavelet transform and cluster analysis

Hoang, Van Manh and Dang, Anh Viet and Ngo, Anh Tuan and Pham, Manh Thang (2019) Automatic detection of QRS complex based on wavelet transform and cluster analysis. In: The 5th International Conference on Engineering Mechanics and Automation (ICEMA 5), 11-12 October 2019, Hanoi. (In Press)

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Abstract

The paper briefly the idea of designing an algorithm for automatically locating the QRS complexes in the single-lead ECG signal based on continuous wavelet transform (CWT) and cluster analysis. The local QRS complexes are first detected in the transformed signals at three different scales. The global QRS complexes were then determined from separate locations in the transformed signals by using a cluster analysis method. The proposed algorithm was evaluated on the two-lead ECG database (MIT-BIH Arrhythmia Database), which contains global reference positions common for all lead.

Item Type: Conference or Workshop Item (Paper)
Subjects: Electronics and Communications > Electronics and Computer Engineering
Divisions: Faculty of Engineering Mechanics and Automation (FEMA)
Depositing User: Van Manh Hoang
Date Deposited: 24 Dec 2019 04:44
Last Modified: 26 Dec 2019 11:09
URI: http://eprints.uet.vnu.edu.vn/eprints/id/eprint/3865

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