Article

Article title ECG SIGNAL DENOISING BASED ON EMPIRICAL MODE DECOMPOSITION
Authors L.Y. Krivonogov, A.Y. Tychkov
Section SECTION I. HARDWARE AND SOFTWARE OF FUNCTIONAL DIAGNOSTICS AND THERAPY
Month, Year 08, 2010 @en
Index UDC 53.088.7, 612.172.4
DOI
Abstract This paper describes algorithm ECG signals denoising based on empirical mode decomposition, processing of separate modes and subsequent reconstruction of an ECG signal.

Download PDF

Keywords ECG signal; denoising; empirical mode decomposition.
References 1. Чирейкин Л.В., Шурыгин Д.Я., Лабутин В.К. Автоматический анализ электрокардиограмм. – Л.: Наука, 1977.
2. Huang N.E., Shen Z., Long S.R. The empirical mode decomposition and the Hilbert spectrum for nonlinear and non-stationary time series analysis // Proc. R. Soc. Lond. A. – 1998. – Vol. 454. – P. 903-995.
3. Ватанабе С. Разложение Карунена–Лоэва и факторный анализ. Теория и приложения. Автоматический анализ сложных изображений / Под. ред. Э.М. Браверманна. – М.: Мир, 1969.
4. Патент США №20080269628 A1. Denoising and artifact rejection for cardiac signal in a senses system. Detlef W., Honghuan Z., Bryon P. 30.10.2008.
5. Blanco-Velasco M., Weng B., Barner K.E. A New ECG Enhancement Algorithm for Stress ECG Tests. Computers in Cardiology. – 2006. – № 33. – Р. 917−920.
6. Na Pan, Vai Mang, Mai Peng Un, Pun Sio hang. Accurate Removal of Baseline Wander in ECG Using Empirical Mode Decomposition. Proceedings of NFSI & ICFBI 2007, Hangzhou, China, October 12-14, 2007.
7. Zhao Z. D., Chen Y. Q. A New Method for Removal of Baseline Wander and Power Line Interference in ECG Signals. in Proc.15th Conf. Machine Learning and Cybernetics, China, Aug 13-16. – 2006. –Р. 4342-4347.

Comments are closed.