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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
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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.
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