Wavelet-based base line wandering removal and R peak and QRS complex detection

International Journal of Wavelets, Multiresolution and Information Processing

Volumn 5, Issue 6, 2007, Pages 927-939

  Shantha, Selva Kumari R ^a   Sadavisam, V ^b  

^a MEPCO SCHLENK ENGINEERING COLLEGE   (India)

^b MANONMANIAM SUNDARANAR UNIVERSITY   (India)

Author keywords

Base line wandering removal; Heart rate; QRS complex; R peak; Wavelet

Indexed keywords

COMPUTATIONAL METHODS; MULTIRESOLUTION ANALYSIS; SENSITIVITY ANALYSIS; SIGNAL ENCODING; SIGNAL PROCESSING;

BASE LINE WANDERING REMOVAL; DAUBECHIES WAVELET; TIME-FREQUENCY ANALYSIS;

WAVELET TRANSFORMS;

EID: 36048929942     PISSN: 02196913     EISSN: None     Source Type: Journal    
DOI: 10.1142/S0219691307002129     Document Type: Article

References (31)

1. O. Pahlm and L. Srnmo, Software QRS detection in ambulatory monitoring - A review, Med. Biol. Eng. Comput. 22 (1984) 289-297.
2. F. Gritzali, Toward a generalized scheme for QRS detection in ECG waveforms, Signal Process. 15 (1988) 183-192.
3. G. M. Friesen et al., A comparison of the noise sensitivity of nine QRS detection algorithms, IEEE Trans. Biomed. Eng. 37 (1990) 85-98.
4. B.-U. Khler, C. Hennig and R. Orglmeister, The principles of software QRS detection, IEEE Eng. Med. Biol. Mag. 21 (2002) 42-57.
5. J. Pan and W. J. Tompkins, A real time QRS detector algorithm, IEEE Trans. Biomed. Eng. 32 (1985) 230-236.
6. S. M. Koeleman, H. H. Ros and T. J. van den Akker, Beat-to-beat interval measurement in the electrocardiogram, Med. Biol. Eng. Comput. 23 (1985) 213-219.
7. J. G. C. Kernmelings, A. C. Linnenbank, S. L. C. Muilwijk, A. Sippens-Groenewegen, A. Peper and C. A. Grimbergen, Automatic QRS onset and offset detection for body surface QRS integral mapping of ventricular tachycardia, IEEE Trans. Biomed. Eng. 41 (1994) 830-836.
8. G. Speranza, G. Nollo, F. Ravelli and R. Antolini, Beat-to-beat measurement and analysis of the R-T interval in 24 h ECG Hotter recordings, Med. Biol. Eng. Comput. 31(5) (1993) 487-494.
9. P. Laguna, R. Jan and P. Caminal, Automatic detection of wave boundaries in multilead ECG signals: Validation with the CSE database, Comput. Biomed. Res. 27(1) (1994) 45-60.
10. S. Meij, P. Klootwijk, J. Arends and J. Roelandt, An algorithm for automatic beat-to-beat measurement of the QT-interval, in Computers in Cardiology (IEEE Computer Society Press, 1994), pp. 597-600.
11. P. de Chazal and B. Celler, Automatic measurement of the QRS onset and offset in individual ECG leads, presented at the 18th Ann. Int. Conf. IEEE Eng. Med. Biol. Soc., Amsterdam, The Netherlands (1996).
12. K. Daskalov, I. A. Dotsinsky and I. I. Christov, Developments in ECG acquisition, preprocessing, parameter measurement and recording, IEEE Eng. Med. Biol. Mag. 17 (1998) 50-58.
13. K. Daskalov and I. Christov, Electrocardiogram signal preprocessing for automatic detection of QRS boundaries, Med. Eng. Phys. 21 (1999) 37-44.
14. E. Soria-Olivas, M. Martnez-Sober, J. Calpe-Maravilla, J. F. Guerrero-Martnez, J. Chorro-Gasc and J. Esp-Lpez, Application of adaptive signal processing for determining the limits of P and T waves in an ECG, IEEE Trans. Biomed. Eng. 45 (1998) 1077-1080.
15. V. X. Afonso, W. J. Tompkin, T. Q. Nguyen and S. Luo, ECG beat detection using filter banks, IEEE Trans. Biomed. Eng. 46 (1999) 192-201.
16. C. Li, C. Zheng and C. Tai, Detection of ECG characteristic points using wavelet transform, IEEE Trans. Biomed. Eng. 42 (1995) 21-28.
17. S. Sahambi, S. Tandon and R. K. P. Bhatt, Using wavelet transform for ECG characterization, IEEE Eng. Med. Biol. 16(l) (1997) 77-83.
18. M. Bahoura, M. Hassam and M. Hubin, DSP implementation of wavelet transform for real time ECG wave forms detection and heart rate analysis, Comput. Meth. Programs Biomed. 52 (1997) 35-44.
19. S. Sahambi, S. Tandon and R. K. P. Bhatt, Wavelet based ST-segment analysis, Med. Biol. Eng. Comput. 36(9) (1998) 568-572.
20. K. Prasad and J. S. Sahambi, Classification of ECG Arrhythmias using multi-resolution analysis and neural networks, in Proc. Cont. Convergent Technologies for Asia-Pacific Region, TENCON 2003, Bangalore, India, Vol. 1 (2003), pp. 227-231.
21. S. Z. Mahmoodabadi, A. Ahmadian, M. D. Abolhasani, M. Eslami and J. H. Bidgoli, ECG feature extraction based on multiresolution wavelet transform, in Proc. 2005 IEEE Engineering in Medicine and Biology 27th Annual Cont., Shanghai, China (2005), 4 pp.
22. Z. Dokur, T. Olmez, E. Yazgan and O. Ersoy, Detection of ECG waveforms by neural networks, Med. Eng. Phys. 19(8) (1997) 738-741.
23. W. Bystricky and A. Safer, Modelling T-end in Hotter ECG's by 2-layer perceptrons, in Proc. Computers in Cardiology, Los Alamitos, USA (2002), pp. 105-108.
24. R. Shantha Selva Kumari, S. Issac Niwas and V. Sadasivam, Artificial neural network based automatic cardiac abnormalities classification, in Proc. 6th Int. Conf. Computational Intelligence & Multimedia Applications ICCIMA-2005, University of Nevada, Los Vegas, USA (2005), pp. 41-46.
25. J. Cohen and J. Kovacevic, Wavelets: The mathematical background, Proc. IEEE 84(4) (1996) 514-522.
26. C. R. Meyer and H. N. Keiser, Electrocardiogram base line noise estimation and removal using cubic spline and state space computational techniques, Comput. Biomed. Res. 10 (1997) 459-470.
27. N. J. Outram et al., Techniques for optimal enhancement and feature extraction of fetal electrocardiogram, IEE Proc. Sci. Meas. Technol. 142(6) (1995) 482-489.
28. J. A. Van Alste and T. S. Schilder, Removal of base line wander and power line interference from the ECG by an efficient FIR filter with a reduced number of taps, IEEE Trans. Biomed. Eng. 32(12) (1985) 1052-1060.
29. L. Sornmo, Time varying digital filtering of ECG base line wander, Med. Biol. Eng. Comput. 31 (1993) 503-508.
30. M. P. Royo and P. Laguna, ECG base line wandering removal: A comparative study (in Spanish), in XVI Annual Conference of the Spanish Society of Biomedical Engineering, CASEIB'98, Valencia, Spain (1998), pp. 402-409.
31. PhysioNet: Research Resource for Complex Physiologic Signals, http://www.physionet.org.