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논문검색

Improved QRS Detection Algorithm using Dynamic Thresholds

초록

영어

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.

목차

Abstract
 1.Introduction
 2.Methodology
  2.1.Method I: First Derivative of the ECG Signal with Adaptive Quantized Threshold
  2.2.Method II: Improved method using a Dynamic Threshold
 3.Results
 4.Conclusion
 5.References

저자정보

  • Mohamed Elgendi School of Engineering and Information Technology, Charles Darwin University, Australia
  • Mirjam Jonkman School of Engineering and Information Technology, Charles Darwin University, Australia
  • Friso De Boer School of Engineering and Information Technology, Charles Darwin University, Australia

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