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Real time mapping QRS duration based on wavelets

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PL
Analiza w czasie rzeczywistym QRS bazująca na transformacie falkowej
Języki publikacji
EN
Abstrakty
EN
The pacing for permanent pacing in bradyarrhytmias can influence ventricular activation and can contribute to marked asynchrony in extremity. In this work, we search the optimal position for right ventricular pacing according the QRS duration. We evaluate the system for detection of QRS boundaries based on wavelet transform and adaptive threshold. The system is used during pacemaker implantations in Department of Cardiology, Heart Center, Hospital Podlesí Třinec.
PL
W artykule zaprezentowano system do detekcji QRS bazujący na transformacie falkowej. System sprawdzono w Klinice serca w Tryncu podczas implantacji rozrusznika serca.
Rocznik
Strony
312--315
Opis fizyczny
Bibliogr. 19 poz., rys., tab., wykr.
Twórcy
autor
autor
autor
autor
  • Department of Measurement and Control, VSB - Technical University of Ostrava, 17 listopadu 15, 708 33 Ostrava, Czech Republic Department of Cardiology, Heart Center, Hospital Podlesi, Konska 45, 73961, Trinec, Czech Republic, jakub.pindor.st@vsb.cz
Bibliografia
  • [1] Pindor, J., Korpas D., Penhaker M.: Determination width of QRS complex using wavelet transformation, Lékar a technika - biomedicínské inženýrství a informatika, YBERC 2008, 8.- 10.7.2008, Ostrava: CLS JEP; Ceské vysoké ucení technické v Praze, 2008, strana 215, ISSN 0301-5491
  • [2] Pindor, J., Korpas, D., Penhaker, M. ECG width intervals detection using mathematical methods, 9th IFAC Workshop on Programmable Devices and Embedded Systems (2009), Programmable Devices and Embedded Systems, Volume 2009, Programmable Devices and Embedded Systems, Volume # 9, Part # 1. Technical University of Ostrava, ISBN: 978-3-902661- 41-8.
  • [3] Augustynek Martin, Pindor Jakub, Penhaker Marek, Korpas David, "Detection of ECG Significant Waves for Biventricular Pacing Treatment," iccea, vol. 2, pp.164-167, 2010 Second International Conference on Computer Engineering and Applications, 2010. ISBN: 978-0-7695-3982-9.
  • [4] Rosenqvist M, Bergfeldt L, Haga Y, et al. The effect of ventricular activation on myocardial performance during pacing. Pacing Clin Electrophysiol. 1996;19:1279–1286.
  • [5] Leclerc C, Gras D, Le Helloco A, et al. Hemodynamic importance of preserving the normal sequence of ventricular activation in permanent cardiac pacing. Am Heart J. 1995;129:1133–1141.
  • [6] Nielsen JC, Bottcher M, Nielsen TT, et al. Regional myocardial blood flow in patients with sick sinus syndrome randomized to long-term single chamber or dual chamber pacing–effect of pacing mode and rate. J Am Coll Cardiol. 2000;35:1453–1461.
  • [7] Adomian G, Beazell J. Myofibrillar disarray produced in normal hearts by chronic electrical pacing. Am Heart J. 1986;112:79– 83.
  • [8] Van Oosterhout MFM, Prinzen FW, Arts T, et al. Asynchronous electrical activation induces asymmetrical hypertrophy of the left ventricular wall. Circulation. 1998;98:588–595.
  • [9] JBronzino JD, The biomedical engineering handbook (Boca Raton – FL: CRC Press, 2000).
  • [10] Shim I, Soraghan JJ, Siew WH, "Detection of PD utilizing digital signalprocessing methods. Part 3: Open-loop noise reduction," 2001.
  • [11] Lewalle J, Tutorial on continuous wavelet analysis of experimental data. Technical report, Syracuse University, April 1995.
  • [12] Gokhale MY, The signal to be analyzed is passed through filters. International Journal of Communications, Network and Systems Sciences (IJCNS), March 2010
  • [13] Saad W, El-Fishawy N, EL-Rabaie S, Shokair M, An Efficient Technique for OFDM System Using Discrete Wavelet Transform, LNCS, Volume 6104/2010, 533-541, 2010
  • [14] Goyal P, NUC algorithm by calculating the corresponding statistics of the decomposed signal, IJCST Vol. 1, Issue 2, December 2010
  • [15] Daubechies I, Ten Lectures on Wavelets, SIAM, Philadelphia, 1992.
  • [16] Amara G, An Introduction to Wavelets, IEEE Comp Sc. And Eng., Vol. 2, No. 2, 1995.
  • [17] Li C, Zheng C, Tai C, Detection of ECG characteristic points using wavelet transforms, IEEE Trans. on Biomedical Engineering, 42(1), 1995, 21-28.
  • [18] Li C, Zheng C, Proc. Annual Int. Conf. IEEE in Med. & Biol. Soc., San Diego, California, 330331.
  • [19] Köhler BU, Hennig R, Orglmeister R, The principles of software QRS detection, IEEE Eng Biol. Mag., 21, jan/feb 2002, 42-57.
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-article-PWA7-0050-0029
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