Fast QRS Detection with an Optimized Knowledge-based Method: Evaluation on 11 Standard ECG Databases

Overview

Journal PLoS One

Specialties General Medicine
Science

Date 2013 Sep 26

PMID 24066054

Citations 48

Authors

Mohamed Elgendi

Affiliations

Soon will be listed here.

Abstract

The current state-of-the-art in automatic QRS detection methods show high robustness and almost negligible error rates. In return, the methods are usually based on machine-learning approaches that require sufficient computational resources. However, simple-fast methods can also achieve high detection rates. There is a need to develop numerically efficient algorithms to accommodate the new trend towards battery-driven ECG devices and to analyze long-term recorded signals in a time-efficient manner. A typical QRS detection method has been reduced to a basic approach consisting of two moving averages that are calibrated by a knowledge base using only two parameters. In contrast to high-accuracy methods, the proposed method can be easily implemented in a digital filter design.

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References

Li C, Zheng C, Tai C . Detection of ECG characteristic points using wavelet transforms. IEEE Trans Biomed Eng. 1995; 42(1):21-8. DOI: 10.1109/10.362922. View

Ligtenberg A, Kunt M . A robust-digital QRS-detection algorithm for arrhythmia monitoring. Comput Biomed Res. 1983; 16(3):273-86. DOI: 10.1016/0010-4809(83)90027-7. View

Mahmoodabadi S, Ahmadian A, Abolhasani M, Eslami M, Bidgoli J . ECG Feature Extraction Based on Multiresolution Wavelet Transform. Conf Proc IEEE Eng Med Biol Soc. 2007; 2005:3902-5. DOI: 10.1109/IEMBS.2005.1615314. View

Fard P, Moradi M, Tajvidi M . A novel approach in R peak detection using Hybrid Complex Wavelet (HCW). Int J Cardiol. 2007; 124(2):250-3. DOI: 10.1016/j.ijcard.2006.11.236. View

Pan J, Tompkins W . A real-time QRS detection algorithm. IEEE Trans Biomed Eng. 1985; 32(3):230-6. DOI: 10.1109/TBME.1985.325532. View

Adnane M, Jiang Z, Choi S . Development of QRS detection algorithm designed for wearable cardiorespiratory system. Comput Methods Programs Biomed. 2008; 93(1):20-31. DOI: 10.1016/j.cmpb.2008.07.010. View

Firbank M, Coulthard A, Harrison R, Williams E . A comparison of two methods for measuring the signal to noise ratio on MR images. Phys Med Biol. 2000; 44(12):N261-4. DOI: 10.1088/0031-9155/44/12/403. View

Sahambi J, Tandon S, Bhatt R . Using wavelet transforms for ECG characterization. An on-line digital signal processing system. IEEE Eng Med Biol Mag. 1997; 16(1):77-83. DOI: 10.1109/51.566158. View

Iyengar N, Peng C, Morin R, Goldberger A, Lipsitz L . Age-related alterations in the fractal scaling of cardiac interbeat interval dynamics. Am J Physiol. 1996; 271(4 Pt 2):R1078-84. DOI: 10.1152/ajpregu.1996.271.4.R1078. View

10.

Friesen G, Jannett T, Jadallah M, Yates S, Quint S, Nagle H . A comparison of the noise sensitivity of nine QRS detection algorithms. IEEE Trans Biomed Eng. 1990; 37(1):85-98. DOI: 10.1109/10.43620. View

11.

Moody G, Mark R . The impact of the MIT-BIH arrhythmia database. IEEE Eng Med Biol Mag. 2001; 20(3):45-50. DOI: 10.1109/51.932724. View

12.

Goldberger A, Amaral L, Glass L, Hausdorff J, Ivanov P, Mark R . PhysioBank, PhysioToolkit, and PhysioNet: components of a new research resource for complex physiologic signals. Circulation. 2000; 101(23):E215-20. DOI: 10.1161/01.cir.101.23.e215. View

13.

Hamilton P, Tompkins W . Quantitative investigation of QRS detection rules using the MIT/BIH arrhythmia database. IEEE Trans Biomed Eng. 1986; 33(12):1157-65. DOI: 10.1109/tbme.1986.325695. View

14.

Dilaveris P, Gialafos E, Sideris S, Theopistou A, Andrikopoulos G, Kyriakidis M . Simple electrocardiographic markers for the prediction of paroxysmal idiopathic atrial fibrillation. Am Heart J. 1998; 135(5 Pt 1):733-8. DOI: 10.1016/s0002-8703(98)70030-4. View

15.

Martinez J, Almeida R, Olmos S, Rocha A, Laguna P . A wavelet-based ECG delineator: evaluation on standard databases. IEEE Trans Biomed Eng. 2004; 51(4):570-81. DOI: 10.1109/TBME.2003.821031. View

16.

Moody G . The PhysioNet / Computers in Cardiology Challenge 2008: T-Wave Alternans. Comput Cardiol. 2009; 2008:505-508. PMC: 2749698. DOI: 10.1109/CIC.2008.4749089. View

17.

Chen S, Chen H, Chan H . A real-time QRS detection method based on moving-averaging incorporating with wavelet denoising. Comput Methods Programs Biomed. 2006; 82(3):187-95. DOI: 10.1016/j.cmpb.2005.11.012. View

18.

Thakor N, Webster J, Tompkins W . Optimal QRS detector. Med Biol Eng Comput. 1983; 21(3):343-50. DOI: 10.1007/BF02478504. View

19.

Arzeno N, Deng Z, Chi-Sang Poon . Analysis of first-derivative based QRS detection algorithms. IEEE Trans Biomed Eng. 2008; 55(2 Pt 1):478-84. PMC: 2532677. DOI: 10.1109/TBME.2007.912658. View

20.

Xue Q, Hu Y, Tompkins W . Neural-network-based adaptive matched filtering for QRS detection. IEEE Trans Biomed Eng. 1992; 39(4):317-29. DOI: 10.1109/10.126604. View