ECG Signal Denoising with Savitzky-Golay
Filter and Discrete Wavelet Transform (DWT)

Harjeet Kaur; Rajni

doi:https://doi.org/10.14445/22315381/IJETT-V36P249

Research Article | Open Access | Download PDF

Volume 36 | Number 1 | Year 2016 | Article Id. IJETT-V36P249 | DOI : https://doi.org/10.14445/22315381/IJETT-V36P249

ECG Signal Denoising with Savitzky-Golay Filter and Discrete Wavelet Transform (DWT)

Harjeet Kaur, Rajni

Citation :

Harjeet Kaur, Rajni, "ECG Signal Denoising with Savitzky-Golay Filter and Discrete Wavelet Transform (DWT)," International Journal of Engineering Trends and Technology (IJETT), vol. 36, no. 1, pp. 266-269, 2016. Crossref, https://doi.org/10.14445/22315381/IJETT-V36P249

Abstract

Electrocardiogram (ECG) demonstrates the electrical activity of heart muscles over a period of time. The ECG is one of the extensively used physiological parameters for examination and diagnosis of cardiac diseases. The non-stationary ECG signal often gets contaminated with different noises. Hence, it is required to denoise the signal to provide accurate information to physicians. In this paper, Savitzky-Golay filter and Discrete Wavelet Transform (DWT) are being used to denoise ECG signal and a comparison is provided between two methods. The filter and DWT are applied on MITBIH arrhythmia database to check the robustness of proposed methods. Two parameters, signal to noise ratio (SNR) and mean squared error (MSE) are used for performance comparison.

Keywords

Electrocardiogram, Savitzky-Golay Filter, Discrete Wavelet Transform, SNR, MSE.

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