@inproceedings{SisLab3865,
       booktitle = {The 5th International Conference on  Engineering Mechanics and Automation (ICEMA 5)},
           title = {Automatic detection of QRS complex based on wavelet
transform and cluster analysis},
          author = {Van Manh Hoang and Anh Viet Dang and Anh Tuan Ngo and Manh Thang Pham},
            year = {2019},
             url = {https://eprints.uet.vnu.edu.vn/eprints/id/eprint/3865/},
        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.}
}