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Comprehensive Time-Frequency Analysis of Noisy ECG Signals – A Review

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This article is based on a comparison of various time-frequency analysis techniques for reducing noise in an ECG signal. Noise continuously degrades the quality of the ECG signal. Due to the ECG signal’s time-varying nature, ECG noise reduction is extremely challenging. The diagnosis of heart disorders requires an ECG signal of high quality. This study presents a survey of several techniques and noise types that can distort the ECG signal. The signal is denoised using effective denoising techniques such as the Wavelet Transform, Empirical Mode Decomposition (EMD), Empirical Wavelet Transform (EWT), Short Time Fourier Transform (STFT), Ensemble and Empirical Mode Decomposition (EEMD). Compared to previous de-noising approaches, the EWT de-noising methodology is more effective and has a lower computing complexity.


Hirald Dwaraka Praveena, Katta Sudha, P. Geetha, M. Venkatanaresh. Comprehensive Time-Frequency Analysis of Noisy ECG Signals – A Review. Cardiometry; Issue 24; November 2022; p.271-275; DOI: 10.18137/cardiometry.2022.24.271275; Available from:


ECG,  Denoising,  EMD,  EEMD,  EWT
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