A patient-adaptive profiling scheme for ECG beat classification

IEEE Transactions on Information Technology in Biomedicine

Volumn 14, Issue 5, 2010, Pages 1153-1165

  Faezipour, Miad ^a   Saeed, Adnan ^a   Bulusu, Suma Chandrika ^a   Nourani, Mehrdad ^a   Minn, Hlaing ^a   Tamil, Lakshman ^a  

^a The University of Texas at Dallas   (United States)

Author keywords

Beat classification; cardiac profile; electrocardiogram (ECG) signal processing; hash functions; packet processing; repetition; wavelet

Indexed keywords

BEAT CLASSIFICATION; CARDIAC PROFILE; ELECTROCARDIOGRAM SIGNAL; PACKET PROCESSING; REPETITION; WAVELET;

AUDIO SYSTEMS; ELECTROCHROMIC DEVICES; HASH FUNCTIONS; HEART; PACKET NETWORKS; SIGNAL DETECTION; SIGNAL PROCESSING;

ELECTROCARDIOGRAPHY;

ALGORITHM; ARTICLE; CLUSTER ANALYSIS; ELECTROCARDIOGRAPHY; FUZZY LOGIC; HUMAN; METHODOLOGY; SIGNAL PROCESSING;

ALGORITHMS; CLUSTER ANALYSIS; ELECTROCARDIOGRAPHY, AMBULATORY; FUZZY LOGIC; HUMANS; SIGNAL PROCESSING, COMPUTER-ASSISTED;

EID: 77956374534     PISSN: 10897771     EISSN: None     Source Type: Journal    
DOI: 10.1109/TITB.2010.2055575     Document Type: Article

References (36)

1. J. Pan and W. J. Tompkins, "A real-time QRS detection algorithm", IEEE Trans. Biomed. Eng., vol. BME-32, no. 3, pp. 230-236, Mar. 1985.
2. P. de Chazal, M. O'Dwyer, and R. B. Reilly, "Automatic classification of heartbeats using ECG morphology and heartbeat interval features", IEEE Trans. Biomed. Eng., vol. 51, no. 7, pp. 1196-1206, Jul. 2004.
3. P. Zarychta, F. E. Smith, S. T. King, A. J. Haigh, A. Klinge, D. Zheng, S. Stevens, J. Allen, A. Okelarin, P. Langley, and A. Murray, "Body surface potential mapping for detection of myocardial infarct sites", in Proc. IEEE Comput. Cardiol., Sep./Oct. 2007, pp. 181-184.
4. B.-U. Kohler, C. Henning, and R. Orglmeister, "The principles of software QRS detection", IEEE Eng. Med. Biol. Mag., vol. 21, no. 1, pp. 42-57, Jan./Feb. 2002.
5. D. Zhang, "Wavelet approach for ECG baseline wander correction and noise reduction", in Proc. 27th IEEE Annu. Conf. Eng. Med. Biol., Sep. 2005, pp. 1212-1215.
6. C. Li, C. Zheng, and C. F. Tai, "Detection of ECG characteristic points using wavelet transforms", IEEE Trans. Biomed. Eng., vol. 42, no. 1, pp. 21-28, Jan. 1995.
7. M. Faezipour, T. M. Tiwari, A. Saeed, M. Nourani, and L. S. Tamil, "Wavelet-based denoising and beat detection of ECG signal", in Proc. IEEE-NIH Life Sci. Syst. Appl. Workshop, Apr. 2009, pp. 100-103.
8. Y. H. Hu, S. Palreddy, and W. J. Tompkins, "A patient adaptive ECG beat classifier using a mixture of experts approach", IEEE Trans. Biomed. Eng., vol. 44, no. 9, pp. 891-900, Sep. 1997.
9. M. H. Song, J. Lee, S. P. Cho, K. J. Lee, and S. K. Yoo, "Support vector machine based arrhythmia classification using reduced features", Int. J. Control, Autom., Syst., vol. 3, no. 4, pp. 571-579, Dec. 2005.
10. R. Besrour, Z. Lachiri, and N. Ellouze, "ECG beat classifier using support vector machine", in Proc. 3rd IEEE Int. Conf. Inf. Commun. Technol.: From Theory Appl., Apr. 2008, pp. 1-5.
11. B. Madhusudan and J. Lockwood, "Design of a system for real-time worm detection", in Proc. 12th Annu. IEEE Symp. High Perform. Interconnects, Aug. 2004, pp. 77-83.
12. M. Faezipour, M. Nourani, and R. Panigrahy, "A real-time worm outbreak detection system using shared counters", in Proc. 15th Annu. IEEE Symp. High Perform. Interconnects, Aug. 2007, pp. 65-72.
13. A. Saeed, M. Faezipour, M. Nourani, S. Banerjee, G. Lee, G. Gupta, and L. S. Tamil, "A scalable wireless body area network for bio-telemetry", J. Inf. Process. Syst., vol. 5, no. 2, pp. 77-86, Jun. 2009.
14. MIT-BIH Arrhythmia Database. (2010). [Online]. Available: www.physionet.org/physiobank/database/mitdb
15. N. V. Thakor and Y. S. Zhu, "Applications of adaptive filtering toECGanalysis: Noise cancellation and arrhythmia detection", IEEE Trans. Biomed. Eng., vol. 38, no. 8, pp. 785-794, Aug. 1991.
16. J. P. Martinez, S. Olmos, and P. Laguna, "Evaluation of a wavelet-based ECG waveform detector on the QT database", Comput. Cardiol., vol. 27, pp. 81-84, Sep. 2000.
17. P. M. Agante and J. P. Marques de Sa, "ECG noise filtering using wavelets with soft-thresholding methods", Comput. Cardiol., vol. 26, pp. 535-538, Sep. 1999.
18. J. S. Sahambi, S. N. Tandon, and R. K. P. Bhatt, "Using wavelet transforms for ECG characterization: An on-line digital signal processing system", IEEE Eng. Med. Biol. Mag., vol. 16, no. 1, pp. 77-83, Jan./Feb. 1997.
19. H. A. N. Dinh, D. K. Kumar, N. D. Pah, and P. Burton, "Wavelets for QRS detection", in Proc. 23rd IEEE EMBS Int. Conf., Oct. 2001, pp. 1883-1887.
20. M. Mohebbi and H. A. Moghadam, "An algorithm for automated detection of ischemic ECG beats using support vectormachines", in Proc. 15th IEEE Conf. Signal Process. Commun. Appl., Jun. 2007, pp. 1-4.
21. N. Acir, "Classification of ECG beats by using a fast least square support vector machines with a dynamic programming feature selection algorithm", Neural Comput. Appl. J., vol. 14, pp. 299-309, May 2005.
22. R. Ghongade and A. Ghatol, "An effective feature set for ECG pattern classification", in Proc. ICMB, 2007, pp. 25-32.
23. K. S. Park, B. H. Cho, D. H. Lee, S. H. Song, J. S. Lee, Y. J. Chee, I. Y. Kim, and S. I. Kim, "Hierarchical support vector machine based heartbeat classification using higher order statistics and hermite basis function", Comput. Cardiol., pp. 229-232, Sep. 2008.
24. I. Christov, G. Gómez-Herrero, V. Krasteva, I. Jekova, A. Gotchev, and K. Egiazarian, "Comparative study of morphological and time-frequency ECG descriptors for heartbeat classification", Med. Eng. Phys., vol. 28, no. 9, pp. 876-887, Nov. 2006.
25. H. H. Haseena, A. T. Mathew, and J. K. Paul, "Fuzzy clustered probabilistic and multi layered feed forward neural networks for electrocardiogram arrhythmia classification", J. Med. Syst., pp. 1-10, Aug. 2009.
26. E. D. Ubeyli, "Eigenvector methods for automated detection of electrocardiographic changes in partial epileptic patients", IEEE Trans. Inf. Technol. Biomed., vol. 13, no. 4, pp. 478-485, Jul. 2009.
27. I. Iliev, V. Krasteva, and S. Tabakov, "Real-time detection of pathological cardiac events in the electrocardiogram", Physiol. Meas., vol. 28, no. 3, pp. 259-276, 2007.
28. National Instruments, User Manuals for LabVIEW Toolset Version 8.5.1, 2008.
29. LabVIEW for ECG Signal Processing. (2010). [Online]. Available: http://zone.ni.com/devzone/cda/tut/p/id/6349
30. I. A. Dotsinsky and T. V. Stoyanov, "Ventricular beat detection in single channel electrocardiograms", BioMedical Engineering OnLine, vol. 3, p. 3, 2004.
31. F. Zhang, J. Tan, and Y. Lian, "An effective QRS detection algorithm for wearable ECG in body area network", in Proc. IEEE Biomed. Circuits Syst. Conf., 2007, pp. 195-199.
32. H.-Y. Zhou and K.-M. Hou, "Embedded real-time QRS detection algorithm for pervasive cardiac care system", in Proc. 9th IEEE Int. Conf. Signal Process., 2008, pp. 2150-2153.
33. M. Cvikl and A. Zemva, "FPGA-oriented HW/SW implementation of ECG beat detection and classification algorithm", Digital Signal Process., vol. 20, no. 1, pp. 238-248, Jan. 2010.
34. Z. Yong, H. Wenxue, X. Yonghong, and C. Jianxin, "ECG beats classification based on ensemble feature composed of independent components and QRS complex width", in Proc. IEEE Int. Conf. Comput. Sci. Softw. Eng., Dec. 2008, vol. 1, pp. 868-871.
35. European ST-T Database. (2010). [Online]. Available: www.physionet.org/ cgi-bin/ATM
36. I. K. Daskalov, I. A. Dotsinsky, and I. I. Christov, "Developments in ECG acquisition, preprocessing, parameter measurement, and recording", IEEE Eng. Med. Biol. Mag., vol. 17, no. 2, pp. 50-58, Mar./Apr. 1998.