Charles Darwin University

CDU eSpace
Institutional Repository

 
CDU Staff and Student only
 

Improved QRS Detection Algorithm using Dynamic Thresholds

Elgendi, Mohamed Y., Jonkman, Mirjam E. and De Boer, Friso G. (2009). Improved QRS Detection Algorithm using Dynamic Thresholds. International Journal of Hybrid Information Technology,2(1):65-80.

Document type: Journal Article
Attached Files (Some files may be inaccessible until you login with your CDU eSpace credentials)
Name Description MIMEType Size Downloads
Download this reading Elgendi_8774.pdf Published version application/pdf 405.31KB 301
Reading the attached file works best in Firefox, Chrome and IE 9 or later.

IRMA ID 77514990xPUB13
Title Improved QRS Detection Algorithm using Dynamic Thresholds
Author Elgendi, Mohamed Y.
Jonkman, Mirjam E.
De Boer, Friso G.
Journal Name International Journal of Hybrid Information Technology
Publication Date 2009
Volume Number 2
Issue Number 1
ISSN 1738-9968   (check CDU catalogue open catalogue search in new window)
Start Page 65
End Page 80
Total Pages 16
Place of Publication Korea, Republic of
Publisher Science & Engineering Research Support Center
HERDC Category C1 - Journal Article (DEST)
Abstract The accurate detection of QRS complexes is important for ECG signal analysis. This paper presents
an improved version of a QRS detector based on an adaptive quantized threshold. The algorithm
achieves high detection rates by using automatic thresholds instead of predetermined static
thresholds. We improved the number of detected QRS in non-stationary random arrhythmic ECG signals
by applying a secondary threshold. The performance of the algorithm was tested on 19 records of the
MIT/BIH Arrhythmia Database resulting in 97.5% sensitivity and 99.9% positive predictivity.
Description for Link Link to published version
URL http://www.sersc.org/journals/IJHIT/vol2_no1_2009.php


© copyright

Every reasonable effort has been made to ensure that permission has been obtained for items included in CDU eSpace. If you believe that your rights have been infringed by this repository, please contact digitisation@cdu.edu.au.

 
Versions
Version Filter Type
Access Statistics: 149 Abstract Views, 302 File Downloads  -  Detailed Statistics
Created: Mon, 29 Mar 2010, 18:08:51 CST by Sarena Wegener