Earticle

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

저자

• 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 ]

참고문헌

발행기관

간행물

표지보기 관심저널 등록

• 간행물명

  International Journal of Hybrid Information Technology

• 간기

  격월간

• pISSN

  1738-9968

• 수록기간

  2008~2016

• 십진분류

  KDC 505 DDC 605