Improved QRS Detection Algorithm using Dynamic Thresholds

@inproceedings{Elgendi2009ImprovedQD,
  title={Improved QRS Detection Algorithm using Dynamic Thresholds},
  author={Mohamed Elgendi and Mirjam Jonkman and Friso De Boer},
  year={2009}
}
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… CONTINUE READING
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robust-digital QRS detection algorithm for arrhythmia monitoring

  • A Ligtenberg, M Kunt, ”A
  • Computers and Biomed Res,
  • 1983
Highly Influential
5 Excerpts

Automatic detection of premature atrial contraction in the electrocardiogram ”

  • P. Chazal, R. B. Reilly M. O’Dwyer
  • IEEE Electrotechniques and Electronics
  • 2006

Reilly,”Automatic detection of premature atrial contraction in the electrocardiogram

  • P. Chazal, R.B.M. O’Dwyer
  • IEEE Electrotechniques and Electronics,
  • 2006
1 Excerpt