원문정보
보안공학연구지원센터(IJHIT)
International Journal of Hybrid Information Technology
Vol.2 No.1
2009.01
pp.65-80
피인용수 : 0건 (자료제공 : 네이버학술정보)
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
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
참고문헌
자료제공 : 네이버학술정보
