Medical and Biological Engineering and Computing

, Volume 35, Issue 6, pp 747–751 | Cite as

Quantitative analysis of errors due to power-line interference and base-line drift in detection of onsets and offsets in ECG using wavelets

Communication

Abstract

Timing characterisation of the ECG using wavelet transforms is a new technique in which multiscale analysis reduces the influence of noise. This technique issued to investigate the effect of noise and to estimate the errors involved in the detection of onsets and offsets of ECG waves. With appropriate choice of scales of analysis the study shows that the errors involved in the measurement of QRS width in the presence of base-line wander are negligible. The 50 Hz power-line interference introduces a maximum error of 6.25% if it is greater than 50% of the signal amplitude. The P and T complexes are not affected by power-line interference, but the base-line wander introduces a maximum error of 9.6%. In situations with the simultaneous presence of both types of noise, the use of an optimised scale restricts the errors to within clinically acceptable limits.

Keywords

QRS detection P- and T-wave detection Wavelet transform Digital signal processing hardware Base-line wander Power-line interference 

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References

  1. Christov, I., andDotsinsky, I. A. (1988): ‘A new approach to digital elimination of 50 Hz interference from the electrocardiogram,’Med. Biol. Eng. Comput.,26, pp. 431–434CrossRefGoogle Scholar
  2. Christov, I. I., Dotsinsky, A. I., andDaskalov, I. K. (1992): ‘High pass filtering of ECG signals using QRS elimination,’Med. Biol. Eng. Comput.,30, pp. 253–256CrossRefGoogle Scholar
  3. Chui, C. K. (1992): ‘An introduction to wavelets’ (Academic Press, Inc.)Google Scholar
  4. CSE Working Party (1985), Recommendations for measurement standard in quantitative electrocardiography,’Eur. Heart J.,6, 815–825Google Scholar
  5. Cuiwei, I. I., Congxum, Z., Changfeng, T. A. I. (1995): ‘Detection of ECG characteristics points using wavelet transforms,IEEE Trans.,BME-42, (1), pp. 22–28Google Scholar
  6. Daubechies, I. (1990): ‘The wavelet transform: A method of time frequency localization’in Haykin, S. (Ed.): ‘Advances in spectral analysis’ (Prentice Hall, New York)Google Scholar
  7. Levkov, C., Michov, G., Ivanov, R., andDaskalov, I. K. (1984): ‘Subtraction of 50 Hz interference from the electrocardiogram,’Med. Biol. Eng. Comput.,22, pp. 371–373CrossRefGoogle Scholar
  8. Mallat, S. (1989): ‘Multiresolution frequency channel decompositions of images and wavelet models’,IEEE Trans.,ASSP-37, (12), pp. 2091–2110Google Scholar
  9. Mallat, S. (1991): ‘Zero crossings of wavelet transform,’IEEE Trans. Inf. Theory,37, (4), pp. 1019–1033MathSciNetCrossRefGoogle Scholar
  10. Rioul, O, andVetterli, M. (1991): ‘Wavelet and signal processing,’IEEE Signal Process. Mag., (Oct), pp. 14–38Google Scholar
  11. Sahambi, J. S., Tandon, S. N., andBhatt, R. K. P. (1997) ‘Using wavelet transforms for ECG characterisations’,IEEE Eng. Med. Biol.,16, (1), pp. 77–83.CrossRefGoogle Scholar
  12. Sahambi, J. S., Tandon, S. N., andBhatt, R. K. P. (1996b): ‘On new approach for on-line characterization of ECG’s proc. 15th Southern Biomedial Engineering Conf., March 29–31, Dayton USA, pp. 409–411Google Scholar
  13. Thakor, N. V., Webstor, J. G., andTompkins, W. J. (1984): ‘Estimation of QRS complex power spectra for design of a QRS filter,IEEE Trans. Biomed. Eng.,BME-31, (11), pp. 702–705.Google Scholar
  14. van Alste, J. E., andSchilder, T. S. (1986): ‘Removal of base-line wander and power frequency interference from ECG by an efficient filter with reduced number of taps,’IEEE Trans. Biomedical Eng.,BME-32, (12) pp. 1052–1060Google Scholar

Copyright information

© IFMBE 1997

Authors and Affiliations

  • J. S. Sahambi
    • 1
  • S. N. Tandon
    • 2
  • R. K. P. Bhatt
    • 1
  1. 1.Electrical Engineering DepartmentIndian Institute of Technology DelhiNew DelhiIndia
  2. 2.Center for Biomedical EngineeringIndian Institute of Technology DelhiNew DelhiIndia

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