%0 Conference Paper
%A Hoang, Van Manh
%A Dang, Anh Viet
%A Ngo, Anh Tuan
%A Pham, Manh Thang
%B The 5th International Conference on  Engineering Mechanics and Automation (ICEMA 5)
%C Hanoi
%D 2019
%F SisLab:3865
%T Automatic detection of QRS complex based on wavelet  transform and cluster analysis
%U https://eprints.uet.vnu.edu.vn/eprints/id/eprint/3865/
%X 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.