eprintid: 3864
rev_number: 12
eprint_status: archive
userid: 331
dir: disk0/00/00/38/64
datestamp: 2019-12-24 04:43:47
lastmod: 2019-12-26 11:01:17
status_changed: 2019-12-26 11:01:17
type: conference_item
metadata_visibility: show
creators_name: Hoang, Van Manh
creators_name: Dang, Anh Viet
creators_name: Dang, Hong Quan
creators_name: Pham, Manh Thang
creators_id: manhhv87@vnu.edu.vn
creators_id: thangpm@vnu.edu.vn
title: Automated the QRS complex detection for monitoring the electrical activity of the heart
ispublished: inpress
subjects: ElectronicsandComputerEngineering
divisions: fac_fema
abstract: In this work, we present a novel QRS complex detection approach in noisy exercise ECG signals
based on a continuous wavelet transform (CWT) for a single-lead ECG signal. First, the adaptive filtering
algorithm is employed to remove the additive artifacts from the signals. The ECG signals are then
transformed by a CWT at a suitable scale. Finally, the QRS complex is detected in processed signals. The
performance of the proposed algorithm is evaluated on the MIT-BIH Noise Stress Test Database. The
recordings in this dataset are specially selected and characterized by baseline wander, muscle artifacts,
and electrode motion artifacts as noise sources. Obtained results show that the proposed method reached
the most satisfactory performance compared with several other QRS complex detection algorithms.
date: 2019-10-12
date_type: submitted
contact_email: manhhv87@vnu.edu.vn
full_text_status: public
pres_type: paper
event_title: The 5th International Conference on Engineering Mechanics and Automation
event_type: conference
refereed: TRUE
citation:   Hoang, Van Manh and Dang, Anh Viet and Dang, Hong Quan and Pham, Manh Thang  (2019) Automated the QRS complex detection for monitoring the electrical activity of the heart.  In: The 5th International Conference on Engineering Mechanics and Automation.    (In Press)  
document_url: https://eprints.uet.vnu.edu.vn/eprints/id/eprint/3864/1/Automated%20the%20QRS%20complex%20detection%20for%20monitoring%20the%20electrical%20activity%20of%20the%20heart.pdf