FREQUENCY BANDS EFFECTS ON QRS DETECTION

Mohamed Elgendi, Mirjam Jonkman, Friso DeBoer

Abstract

In this paper, we investigate the QRS frequency bands in ECG signals. Any QRS detection algorithm accuracy depends on the frequency range of ECG being processed. The QRS complex has different morphology and frequency band for different arrhythmias and noises in ECG signals. A standard bandpass range that maximizes the signal (QRS complex)-to-noise (T-waves, 60 Hz, EMG, etc.) ratio will be useful in ECG monitoring and diagnostic tools. A sensitive QRS detection algorithm has been introduced to compare the performance of using different frequency bands. The results shows that the recommended bandpass frequency range for detecting QRS complexes is 8-20Hz which the best signal-to-noise ratio.

References

  1. Benitez, D. S., Gaydecki, P. A., Zaidi, A. & Fitzpatrick, A. P. (2000) A New Qrs Detection Algorithm Based On The Hilbert Transform. Computers In Cardiology 2000.
  2. Chen, H. C. & Chen, S. W. (2003) A Moving Average Based Filtering System With Its Application To RealTime Qrs Detection. Computers In Cardiology, 2003.
  3. Cuiwei, L., Chongxun, Z. & Changfeng, T. (1995) Detection Of Ecg Characteristic Points Using Wavelet Transforms. Biomedical Engineering, Ieee Transactions On, 42, 21-28.
  4. Gari D. Clifford, F. A., Patrick Mcsharry (2006) Advanced Methods And Tools For Ecg Data Analysis. Artech House Publishers, 1st Edition.
  5. J.L. Willems (1988) Common Standards For Quantitative Electrocardiography Cse Multilead Atlas Dataset-3. Cse Project, Leuven, Belgium,, Acco Publ, 1-341.
  6. Mahmoodabadi, S. Z., Ahmadian, A. & Abolhasani, M. D. (2005) Ecg Feature Extraction Using Daubechies Wavelets. Nternational Conference, Visualization, Imaging, And Image Processing, Proceedings Of The Fifth Iasted.
  7. Moody, G. B. & Mark, R. G. (1990) The Mit-Bih Arrhythmia Database On Cd-Rom And Software For Use With It. Computers In Cardiology 1990, Proceedings.
  8. Moraes, J. C. T. B., Freitas, M. M., Vilani, F. N. & Costa, E. V. (2002) A Qrs Complex Detection Algorithm Using Electrocardiogram Leads. Computers In Cardiology, 2002.
  9. Pan, J. & Tompkins, W. J. (1985) A Real-Time Qrs Detection Algorithm. Biomedical Engineering, Ieee Transactions On, Bme-32, 230-236.
  10. Sahambi, J. S., Tandon, S. N. & Bhatt, R. K. P. (1997) Using Wavelet Transforms For Ecg Characterization. An On-Line Digital Signal Processing System. Engineering In Medicine And Biology Magazine, Ieee, 16, 77-83.
  11. Thakor, N. V., Webster, J. G. & Tompkins, W. J. (1983.) Optimal Qrs Detector. Medical And Biological Engineering, 21, 343-50.
Download


Paper Citation


in Harvard Style

Elgendi M., Jonkman M. and DeBoer F. (2010). FREQUENCY BANDS EFFECTS ON QRS DETECTION . In Proceedings of the Third International Conference on Bio-inspired Systems and Signal Processing - Volume 1: BIOSIGNALS, (BIOSTEC 2010) ISBN 978-989-674-018-4, pages 428-431. DOI: 10.5220/0002742704280431


in Bibtex Style

@conference{biosignals10,
author={Mohamed Elgendi and Mirjam Jonkman and Friso DeBoer},
title={FREQUENCY BANDS EFFECTS ON QRS DETECTION},
booktitle={Proceedings of the Third International Conference on Bio-inspired Systems and Signal Processing - Volume 1: BIOSIGNALS, (BIOSTEC 2010)},
year={2010},
pages={428-431},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0002742704280431},
isbn={978-989-674-018-4},
}


in EndNote Style

TY - CONF
JO - Proceedings of the Third International Conference on Bio-inspired Systems and Signal Processing - Volume 1: BIOSIGNALS, (BIOSTEC 2010)
TI - FREQUENCY BANDS EFFECTS ON QRS DETECTION
SN - 978-989-674-018-4
AU - Elgendi M.
AU - Jonkman M.
AU - DeBoer F.
PY - 2010
SP - 428
EP - 431
DO - 10.5220/0002742704280431