eprintid: 3865
rev_number: 13
eprint_status: archive
userid: 331
dir: disk0/00/00/38/65
datestamp: 2019-12-24 04:44:09
lastmod: 2019-12-26 11:09:08
status_changed: 2019-12-26 11:01:10
type: conference_item
metadata_visibility: show
creators_name: Hoang, Van Manh
creators_name: Dang, Anh Viet
creators_name: Ngo, Anh Tuan
creators_name: Pham, Manh Thang
creators_id: manhhv87@vnu.edu.vn
creators_id: thangpm@vnu.edu.vn
title: Automatic detection of QRS complex based on wavelet
transform and cluster analysis
ispublished: inpress
subjects: ElectronicsandComputerEngineering
divisions: fac_fema
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.
date: 2019
date_type: published
contact_email: manhhv87@vnu.edu.vn
full_text_status: public
pres_type: paper
event_title: The 5th International Conference on  Engineering Mechanics and Automation (ICEMA 5)
event_location: Hanoi
event_dates: 11-12 October 2019
event_type: conference
refereed: TRUE
citation:   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)  
document_url: https://eprints.uet.vnu.edu.vn/eprints/id/eprint/3865/1/Automatic%20detection%20of%20QRS%20complex%20based%20on%20wavelet%20transform%20and%20cluster%20analysis.pdf