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Improved QRS Detection Algorithm using Dynamic Thresholds
Mohamed Elgendi,Mirjam Jonkman,Friso De Boer 보안공학연구지원센터 2009 International Journal of Hybrid Information Techno Vol.2 No.1
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.