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Hybrid Processing and Time-Frequency Analysis of ECG Signal

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Life System Modeling and Simulation (LSMS 2007)

Part of the book series: Lecture Notes in Computer Science ((LNBI,volume 4689))

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Abstract

A new simple approach basing on the histogram and genetic algorithm(GA) to efficiently detect QRS-T complexes of the ECG curve is described, so as to easily get the P-wave (when AF does not happen) or the f-wave (when AF happens). By means of signal processing techniques such as the power spectrum function, the auto-correlation function and cross-correlation function, two kinds of ECG signal when AF does or does not happen were successively analyzed, showing the evident differences between them.

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References

  1. Kohler, B.U., Henning, C., Orglmeister, R.: The Principles of Software QRS Detection. IEEE Engineering in Medicine and Biology, 42–57 (January/February 2002)

    Google Scholar 

  2. Keselbrener, L., Keselbrener, M., Akselrod, S.: Nonlinear high pass filter for R-wave detection in ECG signal. Med. Eng. Phys. 19(5), 481–484 (1997)

    Article  Google Scholar 

  3. Gamo, C., Gaydecki, P., Zaidi, A., Fitzpatrick, A.: An implementation of the wavelet transform for ECG analysis, Advances in Medical Signal and Information Processing, 2000. In: First International Conference on (IEE Conf. Publ. No. 476), 4-6 September, pp. 32–40 (2000)

    Google Scholar 

  4. Li, X.Y., Wang, T., Zhou, P., Feng, H.Q.: ST-T complex automatic analysis of the electrocardiogram signals based on wavelet transform. In: IEEE 29th Annual, Proceedings of Bioengineering Conference, 22-23 March, 2003, pp. 144–145. IEEE Computer Society Press, Los Alamitos (2003)

    Chapter  Google Scholar 

  5. lnoue, H., Iwasaki, S., Shimazu, M., Katsura, T.: Detection of QRS complex in ECG using wavelet transform (in Japanese). In: IEICE Gen. Conf., vol. 67(A-4), pp. 198–207 (March 1997)

    Google Scholar 

  6. Kadambe, S., Murray, R., Boudreaux-Bartels, G.F.: Wavelet transform -based QRS complex detector. IEEE Tran. Biomed. Eng. 46, 838–848 (1999)

    Article  Google Scholar 

  7. Bahoura, M., Hassami, M., Hubin, M.: DSP implementation of wavelet transform for real time ECG waveforms detection and heart rate analysis. Computer Methods and program in Biomedicine 55(1), 35–44 (1997)

    Article  Google Scholar 

  8. Sahambi, J.S., Tandon, S.N., Bhatt, R.K.P.: A new approach for in-line ECG characterization. In: Proceeding of Fifteenth Southern Biomedical Engineering Conference, Dayton, USA, pp. 409–411 (1996)

    Google Scholar 

  9. Sahambi, J.S., Tandam, S.N., Bhatt, R.K.P.: Using wavelet transform for ECG characterization. IEEE Eng. Med. Biol. 16(1), 77–83 (1997)

    Article  Google Scholar 

  10. Mitsuo, G., et al.: Genetic Algorithms and Engineering Design[M]. John Wiley & Sons. Inc., New York, USA (1997)

    Google Scholar 

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Kang Li Xin Li George William Irwin Gusen He

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© 2007 Springer-Verlag Berlin Heidelberg

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Zhang, P., Tu, C., Li, X., Zeng, Y. (2007). Hybrid Processing and Time-Frequency Analysis of ECG Signal. In: Li, K., Li, X., Irwin, G.W., He, G. (eds) Life System Modeling and Simulation. LSMS 2007. Lecture Notes in Computer Science(), vol 4689. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-74771-0_6

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  • DOI: https://doi.org/10.1007/978-3-540-74771-0_6

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-74770-3

  • Online ISBN: 978-3-540-74771-0

  • eBook Packages: Computer ScienceComputer Science (R0)

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