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2010 | 118 | 1 | 131-135
Article title

Robust Algorithm for Heart Rate (HR) Detection and Heart Rate Variability (HRV) Estimation

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EN
Abstracts
EN
We present algorithm for Heart Rate detection based on Short-Term Autocorrelation Center Clipping method. This algorithm is dedicated for biological signal detection, electrocardiogram, in noisy environment with lot of artifacts. Using this algorithm is also possible detect the R pointers in the PQRST complex of the ECG signal. In this paper the new implementation of the heart rate variability estimation is also presented. HRV module is based on parametric and non-parametric methods of the power spectral density computation.
Keywords
Year
Volume
118
Issue
1
Pages
131-135
Physical description
Dates
published
2010-07
References
  • 1. B. Surawicz, T. Knilans, Chou's Electrocardiography in Clinical Practice Saunders 2008
  • 2. G.S. Wagner, Marriott's Practical Electrocardiography, Publisher Lippincott Williams & Wilkins, 2007
  • 3. J. O'Keefe, S. Hammill, M. Freed, S. Pogwizd, The Complete Guide to ECGs, Jones & Bartlett Publishers, 2008
  • 4. G.D. Clifford, F. Azuaje, P. McSharry, Advanced Methods and Tools for ECG Data Analysis, Artech House Publishers, 2006
  • 5. R. Acharya, U, J.S. Suri, J.A.E. Spaan, S.M. Krishnan, Advances in Cardiac Signal Processing, Springer, 2007
  • 6. Ch.M. Bishop, Pattern Recognition and Machine Learning, Springer, 2006
  • 7. E.N. Bruce, Biomedical Signal Processing and Signal Modeling, Wiley - Interscience, 2000
  • 8. F. Kusumoto, Understanding Intracardiac EGMs and ECGs, Wiley-Blackwell, 2009
  • 9. K. Goplan, Introduction to Signal and System Analysis, CL-Engineering, 2008
  • 10. W. Torbicz, L. Filipczyński, R. Maniewski, M. Nałęcz, E. Stolarski, Biocybernetics and Biomedical Engineering 2000, PAN, Akademicka Oficyna Wydawnicza EXIT, Warsaw 2001, Vol. 2, p. 309
  • 11. J. Moczko, L. Kramer, Digital methods of biomedical signal processing, Wydawnictwo Naukowe UAM, Poznań 2001, p. 17
  • 12. Z. Piotrowski, K. Różanowski, Effective method of correlation computation Heart Rate in ECG and cumulative reference pattern of the PQRST complex, Research works - Electronics, Vol. 157, Oficyna Wydawnicza Politechniki Warszawskiej, Warsaw 2006, p. 83
  • 13. Task Force of The European Society of Cardiology and The North American Society of Pacing and Electrophysiology. Heart rate variability - Standards of measurement, physiological interpretation, and clinical use. European Heart Journal 17, 354 (1996)
  • 14. P. Augustyniak, Electrodiagnostic signals processing, AGH Uczelniane Wydawnictwa Naukowo-Dydaktyczne, Kraków 2001, p. 174
  • 15. T. Krauze, P. Guzik, H. Wysocki, Nowiny Lekarskie. 70, 9, 973, (2001)
  • 16. T. McAuley, Heart Rate Variability and Ultrafine Particle Exposures, VBM Verlag, 2008
  • 17. M. Malik, A.J. Camm, Dynamic Electrocardiography. Wiley-Blackwell, 2004
  • 18. Z. Piotrowski, K. Różanowski, Spectral parameters estimation in Heart Rate Variability analysis, Biuletyn Wojskowej Akademii Technicznej, II Konferencja Naukowa Urządzenia i Systemy Radioelektroniczne, Soczewka k. Płocka, 13-15 June 2007, Vol. LVI (2), Warsaw 2007, p. 371
  • 19. R.E. Herrera, J.T. Cain, E.G. Cape, G.J. Boyle, A High Resolution ECG Tool for Detection of Atrial and Ventricular Late Potentials, Computers in Cardiology, p. 629
  • 20. E. Laciar, R Jane, An Improved Weighted Signal Averaging Method for High-Resolution ECG Signals, Computers in Cardiology, 2001, p. 69, Digital Object Identifier 10.1109/CIC.2001.977593
Document Type
Publication order reference
YADDA identifier
bwmeta1.element.bwnjournal-article-appv118n131kz
Identifiers
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