Article: Analysis of cardiac abnormalities using Hilbert-Huang transform Journal: International Journal of Biomedical Engineering and Technology (IJBET) 2013 Vol.13 No.1 pp.69 - 86 Abstract: This paper investigates the feasibility of using Hilbert-Huang Transform (HHT) so as to enhance the diagnostic procedures in cardiac abnormalities. HHT which embraces empirical mode decomposition and Hilbert spectral analysis is a newly developed adaptive signal analysis method and has been extensively used in the analysis of non-stationary signals. Empirical Mode Decomposition (EMD) algorithm, the key feature of HHT, decomposes a signal into so-called Intrinsic Mode Functions (IMFs). Furthermore, the Hilbert spectral analysis of IMFs provide frequency information evolving with time and quantises the amount of variation due to oscillation at different time scales and time locations. Normal and abnormal ECG signals from MIT-BIH data base are used to verify the effectiveness of the proposed method and the results demonstrate the superiority of proposed technique compared to other well-known techniques for the analysis of cardiac abnormalities. Inderscience Publishers - linking academia, business and industry through research

Title: Analysis of cardiac abnormalities using Hilbert-Huang transform

Authors: Mohamed Yacin Sikkandar; V. Akshayaa; Acharya Divya Dinesh; L. Dinikshaa Sree

Addresses: Department of Biomedical Engineering, Rajalakshmi Engineering College, Thandalam, Chennai 602105, India ' Department of Biomedical Engineering, Rajalakshmi Engineering College, Thandalam, Chennai 602105, India ' Department of Biomedical Engineering, Rajalakshmi Engineering College, Thandalam, Chennai 602105, India ' Department of Biomedical Engineering, Rajalakshmi Engineering College, Thandalam, Chennai 602105, India

Abstract: This paper investigates the feasibility of using Hilbert-Huang Transform (HHT) so as to enhance the diagnostic procedures in cardiac abnormalities. HHT which embraces empirical mode decomposition and Hilbert spectral analysis is a newly developed adaptive signal analysis method and has been extensively used in the analysis of non-stationary signals. Empirical Mode Decomposition (EMD) algorithm, the key feature of HHT, decomposes a signal into so-called Intrinsic Mode Functions (IMFs). Furthermore, the Hilbert spectral analysis of IMFs provide frequency information evolving with time and quantises the amount of variation due to oscillation at different time scales and time locations. Normal and abnormal ECG signals from MIT-BIH data base are used to verify the effectiveness of the proposed method and the results demonstrate the superiority of proposed technique compared to other well-known techniques for the analysis of cardiac abnormalities.

Keywords: HHT; Hilbert-Huang transform; instantaneous frequency; EMD; empirical mode decomposition; IMF; intrinsic mode function; cardiac abnormalities; signal analysis; Hilbert spectral analysis; ECG signals; electrocardiograms; heart abnormalities.

DOI: 10.1504/IJBET.2013.057714

International Journal of Biomedical Engineering and Technology, 2013 Vol.13 No.1, pp.69 - 86

Received: 16 Jul 2013
Accepted: 07 Oct 2013
Published online: 27 Sep 2014 *

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Title: Analysis of cardiac abnormalities using Hilbert-Huang transform

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