TY  - INPR
ID  - SisLab3865
UR  - https://eprints.uet.vnu.edu.vn/eprints/id/eprint/3865/
A1  - Hoang, Van Manh
A1  - Dang, Anh Viet
A1  - Ngo, Anh Tuan
A1  - Pham, Manh Thang
Y1  - 2019///
N2  - 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.
TI  - Automatic detection of QRS complex based on wavelet
transform and cluster analysis
M2  - Hanoi
AV  - public
T2  - The 5th International Conference on  Engineering Mechanics and Automation (ICEMA 5)
ER  -