PL EN


Preferencje help
Widoczny [Schowaj] Abstrakt
Liczba wyników
Powiadomienia systemowe
  • Sesja wygasła!
  • Sesja wygasła!
  • Sesja wygasła!
  • Sesja wygasła!
  • Sesja wygasła!
Tytuł artykułu

Heart rate variability assessment with rational-dilation wavelet transform

Identyfikatory
Warianty tytułu
Języki publikacji
EN
Abstrakty
EN
Wavelet transform on a rational dilation is proposed as a method of assessment of spectral power in low and high frequency (LF and HF, respectively) bands for heart rate variability (HRV) analysis. One of the unique properties of this method is a possibility to align the band limits of certain scales with the limits of ranges LF and HF used in HRV analysis. The method parameters are optimized for use in the context of HRV analysis. Suitable examples are tilt test recordings analyzed using the optimized rational-dilation wavelet transform method.
Rocznik
Strony
29--35
Opis fizyczny
Bibliogr. 18 poz.
Twórcy
autor
  • Faculty of Physics, Warsaw University of Technology, ul. Koszykowa 75, 00-662 Warsaw, Poland
autor
  • Faculty of Physics, Warsaw University of Technology, Warsaw, Poland
  • Military Institute of Medicine, Department of Internal Diseases and Cardiology, Warsaw, Poland
Bibliografia
  • 1. Task Force of the European Society of Cardiology and The North American Society of Pacing and Electrophysiology. Guidelines – Heart rate variability: standards of measurement, physiological interpretation, and clinical use. Eur Heart J 1996;17:354 – 81.
  • 2. Zipes DP, Camm AJ, Borggrefe M, Buxton AE, Chaitman B, Fromer M, et al. ACC/AHA/ESC 2006 guidelines for management of patients with ventricular arrhythmias and the prevention of sudden cardiac death: a report of the American College of Cardiology/American Heart Association Task Force and the European Society of Cardiology Committee for Practice Guidelines. Europace 2006;8:746– 837.
  • 3. Sloan RP, Shapiro PA, Bagiella E, Bigger JT Jr, Lo ES, Gorman JM. Relationships between circulating catecholamines and low frequency heart period variability as indices of cardiac sympathetic activity during mental stress. Psychosom Med 2006;58:25 – 31.
  • 4. Pagani M, Lombardi F, Guzzetti S, Rimoldi O, Furlan R, Pizzinelli P, et al. Power spectral analysis of heart rate and arterial pressure variabilities as a marker of sympatho-vagal interaction in man and conscious dog. Circ Res 1986;59:178 – 93.
  • 5. Eckberg DL. Sympathovagal balance: a critical appraisal. Circulation 1997;96:3224– 32.
  • 6. Welch PD. The use of fast Fourier transform for the estimation of power spectra: a method based on time averaging over short, modified periodograms. IEEE Trans Audio Electroacoust 1967; AU-15:70 – 3.
  • 7. Mainardi LT, Bianchi AM, Cerutti S. Time-frequency and time-varying analysis for assessing the dynamic responses of cardiovascular control. Crit Rev Biomed Eng 2002;30:175
  • 8. Bakardjian H, Yamamoto K. Dynamic non-deterministic characterization of HRV through multiresolution wavelet decomposition. In: Proceedings of the 17th Annual International Conference on IEEE EMBS, Montreal, Canada, 20 – 23, September 1995:1063 – 4.
  • 9. Tanaka K, Hargens AR. Wavelet packet transform for R-R interval variability. Med Eng Phys 2004;26:313 – 9.
  • 10. Stefanovska A, Bracic M, Kvernmo HD. Wavelet analysis of oscillations in the peripheral blood circulation measured by laser Doppler technique. IEEE Trans Biomed Eng 1999;46:1230 – 9.
  • 11. Mallat SG, Zhang Z. Matching pursuits with time-frequency dictionaries. IEEE Trans Sign Process 1993;41:3397 – 415.
  • 12. Bayram I, Selesnick IW. Frequency-domain design of overcomplete rational-dilation wavelet transforms. IEEE Trans Signal Proc 2009;57:2957– 72.
  • 13. Lipsitz LA, Hayano J, Sakata S, Okada A, Morin RJ. Complex demodulation of cardiorespiratory dynamics preceding vasovagal syncope. Circulation 1998;98:977 – 83.
  • 14. Pan J, Tompkins WJ. A real-time QRS detection algorithm. IEEE Trans Biomed Eng 1985;32:230 – 6.
  • 15. Selesnick IW. Available at: http://eeweb.poly.edu/iselesni/rational/index.html. Accessed on February 14, 2013.
  • 16. Press WH, Rybicki GB. Fast algorithm for spectral analysis of unevenly sampled data. Astrophys J 1989;338:277 – 80.
  • 17. Piskorski J, Guzik P, Krauze T, Żurek S. Cardiopulmonary resonance at 0.1 Hz demonstrated by averaged Lomb-Scargle periodogram. Central Eur J Phys 2012;8:386 – 92.
  • 18. Moody GW. Physionet. Available at: http://www.physionet. org/physiotools/wfdb/psd/lomb.c. Accessed on February 14, 2013.
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-18027694-758b-45d4-a48c-c42bf24a946a
JavaScript jest wyłączony w Twojej przeglądarce internetowej. Włącz go, a następnie odśwież stronę, aby móc w pełni z niej korzystać.