FIELD-PROGRAMMABLE GATE ARRAY IMPLEMENTATION OF EMPIRICAL MODE DECOMPOSITION ALGORITHM FOR ELECTROCARDIOGRAM PROCESSING

Dylan Royce Fernandes; Suchetha M

doi:10.22159/ajpcr.2017.v10s1.19569

Authors

Dylan Royce Fernandes School of Electronics Engineering (SENSE), VIT University, Chennai, Tamil Nadu, India
Suchetha M School of Electronics Engineering (SENSE), VIT University, Chennai, Tamil Nadu, India

DOI:

https://doi.org/10.22159/ajpcr.2017.v10s1.19569

Keywords:

Hilbert-Huang transform, Electrocardiogram, Empirical mode decomposition, Field-programmable gate array

Abstract

The electrocardiogram (ECG) signal contains important information that is utilized by physicians for the diagnosis and analysis of heart diseases. Therefore, good quality ECG signal is required. Hilbert-Huang transform (HHT) is a method to analyze non-stationary and non-linear signals. Empirical mode decomposition (EMD) is the core of HHT. EMD breaks down signals into smaller number of components. These components form a complete and nearly orthogonal basis for the original signal. This algorithm is implemented on field-programmable gate array using the process of extrema generation, envelope generation, and stopping criterion.

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References

Jambukia SH, Dabhi VK, Prajapati HR. Classification of ECG signals using machine learning techniques: A survey. International Conference on Advances in Computer Engineering and Applications (ICACEA);

Mabrouki R, Khaddoumi B, Sayadi M. R peak detection in electrocardiogram signal based on a combination between empirical mode decomposition and Hilbert transformation. 1st International Conference on Advanced Technologies for Signal and Image Processing. March, 17-19; 2014.

Haykin S. Adaptive Filter Theory. 3rd ed. Englewood Cliffs, NJ: Prentice-Hall Inc.; 1996.

Poornachandra S. Wavelet-based denoising using subband dependent threshold for ECG signals. J Digital Signal Process 2008;18:49-55.

Chou CC, Lin KC, Fang WC. An advanced hardware design based on ensemble empirical mode decomposition algorithm for heart sound signal processing. IEEE 17th International Symposium on Consumer Electronics (ISCE); 2013.

Lee MH, Shyu KK, Lee PL, Huang CM, Chiu YJ. Hardware implementation of EMD using DSP and FPGA for online signal

processing. IEEE Trans Ind Electron 2011;58(6):2473-81.

Huang NE, Shen Z, Long SR, Wu MC, Shih HH, Zheng Q, et al. The empirical mode decomposition and the Hilbert spectrum for non-linear